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Gaynor KM, Abrahms B, Manlove KR, Oestreich WK, Smith JA. Anthropogenic impacts at the interface of animal spatial and social behaviour. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220527. [PMID: 39230457 PMCID: PMC11449167 DOI: 10.1098/rstb.2022.0527] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 04/15/2024] [Accepted: 04/25/2024] [Indexed: 09/05/2024] Open
Abstract
Human disturbance is contributing to widespread, global changes in the distributions and densities of wild animals. These anthropogenic impacts on wildlife arise from multiple bottom-up and top-down pathways, including habitat loss, resource provisioning, climate change, pollution, infrastructure development, hunting and our direct presence. Animal behaviour is an important mechanism linking these disturbances to population outcomes, although these behavioural pathways are often complex and can remain obscured when different aspects of behaviour are studied in isolation from one another. The spatial-social interface provides a lens for understanding how an animal's spatial and social environments interact to determine its spatial and social phenotype (i.e. measurable characteristics of an individual), and how these phenotypes interact and feed back to reshape environments. Here, we review studies of animal behaviour at the spatial-social interface to understand and predict how human disturbance affects animal movement, distribution and intraspecific interactions, with consequences for the conservation of populations and ecosystems. By understanding the spatial-social mechanisms linking human disturbance to conservation outcomes, we can better design management interventions to mitigate undesired consequences of disturbance.This article is part of the theme issue 'The spatial-social interface: a theoretical and empirical integration'.
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Affiliation(s)
- Kaitlyn M Gaynor
- Departments of Zoology and Botany, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Briana Abrahms
- Center for Ecosystem Sentinels, Department of Biology, University of Washington, Seattle, WA 98195, USA
| | - Kezia R Manlove
- Department of Wildland Resources, Utah State University, Logan, UT 84322, USA
| | | | - Justine A Smith
- Department of Wildlife Fish, and Conservation Biology, University of California Davis, Davis, CA 95616, USA
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2
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Jansson I, Parsons AW, Singh NJ, Faust L, Kissui BM, Mjingo EE, Sandström C, Spong G. Coexistence from a lion's perspective: Movements and habitat selection by African lions (Panthera leo) across a multi-use landscape. PLoS One 2024; 19:e0311178. [PMID: 39361578 PMCID: PMC11449311 DOI: 10.1371/journal.pone.0311178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 09/14/2024] [Indexed: 10/05/2024] Open
Abstract
Diminishing wild space and population fragmentation are key drivers of large carnivore declines worldwide. The persistence of large carnivores in fragmented landscapes often depends on the ability of individuals to move between separated subpopulations for genetic exchange and recovery from stochastic events. Where separated by anthropogenic landscapes, subpopulations' connectivity hinges on the area's socio-ecological conditions for coexistence and dispersing individuals' behavioral choices. Using GPS-collars and resource- and step-selection functions, we explored African lion (Panthera leo) habitat selection and movement patterns to better understand lions' behavioral adjustments in a landscape shared with pastoralists. We conducted our study in the Ngorongoro Conservation Area (NCA), Tanzania, a multiuse rangeland, that connects the small, high density lion subpopulation of the Ngorongoro Crater with the extensive Serengeti lion population. Landscape use by pastoralists and their livestock in the NCA varies seasonally, driven by the availability of pasture, water, and disease avoidance. The most important factor for lion habitat selection was the amount of vegetation cover, but its importance varied with the distance to human settlements, season and time of day. Although we noted high levels of individual variation in tolerance for humans, in general lions avoided humans on the landscape and used more cover when closer to humans. Females showed more consistent avoidance of humans and stronger use of cover when near humans than did males. Connectivity of lion subpopulations does not appear to be blocked by sparse pastoralist settlements, and nomadic males, key to subpopulation connectivity, significantly avoided humans during the day, suggesting a behavioral strategy for conflict mitigation. These results are consistent with lions balancing risk from humans with exploitation of livestock by altering their behaviors to reduce potential conflict. Our study lends some optimism for the adaptive capacity of lions to promote coexistence with humans in shared landscapes.
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Affiliation(s)
- Ingela Jansson
- Molecular Ecology Group, Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
- KopeLion, Ngorongoro Conservation Area, Arusha, Tanzania
| | - Arielle W. Parsons
- Alexander Center for Applied Population Biology, Lincoln Park Zoo, Chicago, Illinois, United States of America
| | - Navinder J. Singh
- Molecular Ecology Group, Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Lisa Faust
- Alexander Center for Applied Population Biology, Lincoln Park Zoo, Chicago, Illinois, United States of America
| | | | | | | | - Göran Spong
- Molecular Ecology Group, Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
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3
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Stiegler J, Gallagher CA, Hering R, Müller T, Tucker M, Apollonio M, Arnold J, Barker NA, Barthel L, Bassano B, Beest FMV, Belant JL, Berger A, Beyer DE, Bidner LR, Blake S, Börner K, Brivio F, Brogi R, Buuveibaatar B, Cagnacci F, Dekker J, Dentinger J, Duľa M, Duquette JF, Eccard JA, Evans MN, Ferguson AW, Fichtel C, Ford AT, Fowler NL, Gehr B, Getz WM, Goheen JR, Goossens B, Grignolio S, Haugaard L, Hauptfleisch M, Heim M, Heurich M, Hewison MAJ, Isbell LA, Janssen R, Jarnemo A, Jeltsch F, Miloš J, Kaczensky P, Kamiński T, Kappeler P, Kasper K, Kautz TM, Kimmig S, Kjellander P, Kowalczyk R, Kramer-Schadt S, Kröschel M, Krop-Benesch A, Linderoth P, Lobas C, Lokeny P, Lührs ML, Matsushima SS, McDonough MM, Melzheimer J, Morellet N, Ngatia DK, Obermair L, Olson KA, Patanant KC, Payne JC, Petroelje TR, Pina M, Piqué J, Premier J, Pufelski J, Pyritz L, Ramanzin M, Roeleke M, Rolandsen CM, Saïd S, Sandfort R, Schmidt K, Schmidt NM, Scholz C, Schubert N, Selva N, Sergiel A, Serieys LEK, Silovský V, Slotow R, Sönnichsen L, Solberg EJ, Stelvig M, Street GM, Sunde P, Svoboda NJ, Thaker M, Tomowski M, Ullmann W, Vanak AT, Wachter B, Webb SL, Wilmers CC, Zieba F, Zwijacz-Kozica T, Blaum N. Mammals show faster recovery from capture and tagging in human-disturbed landscapes. Nat Commun 2024; 15:8079. [PMID: 39278967 PMCID: PMC11402999 DOI: 10.1038/s41467-024-52381-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 08/29/2024] [Indexed: 09/18/2024] Open
Abstract
Wildlife tagging provides critical insights into animal movement ecology, physiology, and behavior amid global ecosystem changes. However, the stress induced by capture, handling, and tagging can impact post-release locomotion and activity and, consequently, the interpretation of study results. Here, we analyze post-tagging effects on 1585 individuals of 42 terrestrial mammal species using collar-collected GPS and accelerometer data. Species-specific displacements and overall dynamic body acceleration, as a proxy for activity, were assessed over 20 days post-release to quantify disturbance intensity, recovery duration, and speed. Differences were evaluated, considering species-specific traits and the human footprint of the study region. Over 70% of the analyzed species exhibited significant behavioral changes following collaring events. Herbivores traveled farther with variable activity reactions, while omnivores and carnivores were initially less active and mobile. Recovery duration proved brief, with alterations diminishing within 4-7 tracking days for most species. Herbivores, particularly males, showed quicker displacement recovery (4 days) but slower activity recovery (7 days). Individuals in high human footprint areas displayed faster recovery, indicating adaptation to human disturbance. Our findings emphasize the necessity of extending tracking periods beyond 1 week and particular caution in remote study areas or herbivore-focused research, specifically in smaller mammals.
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Affiliation(s)
- Jonas Stiegler
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany.
- Animal Ecology, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany.
| | - Cara A Gallagher
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
| | - Robert Hering
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
- Ecology and Macroecology Laboratory, Institute for Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
| | - Thomas Müller
- Senckenberg Biodiversity and Climate Research Centre, Senckenberg Gesellschaft für Naturforschung, 60325, Frankfurt (Main), Germany
- Department of Biological Sciences, Goethe University, 60438, Frankfurt (Main), Germany
- Smithsonian Conservation Biology Institute, National Zoological Park, Front Royal, VA, USA
| | - Marlee Tucker
- Department of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, P.O. Box 9010, 6500, GL Nijmegen, Netherlands
| | - Marco Apollonio
- Department of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100, Sassari, Italy
| | - Janosch Arnold
- Wildlife Research Unit, Agricultural Centre Baden-Wuerttemberg (LAZBW), 88326, Aulendorf, Germany
| | - Nancy A Barker
- School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Leon Barthel
- Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | | | | | - Jerrold L Belant
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA
| | - Anne Berger
- Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | - Dean E Beyer
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA
| | - Laura R Bidner
- Department of Anthropology, University of California, Davis, CA, 95616, USA
- Mpala Research Centre, 555-10400, Nanyuki, Kenya
| | - Stephen Blake
- Department of Biology, St. Louis University, St. Louis, MO, USA
- WildCare Institute, Saint Louis Zoo, 1 Government Drive, Saint Louis, MO, 63110, USA
| | - Konstantin Börner
- Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | - Francesca Brivio
- Department of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100, Sassari, Italy
| | - Rudy Brogi
- Department of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100, Sassari, Italy
| | | | - Francesca Cagnacci
- Research and Innovation Centre, Animal Ecology Unit, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy
- NBFC, National Biodiversity Future Centre, Palermo, 90133, Italy
| | | | - Jane Dentinger
- Texas A&M Natural Resources Institute, and Department of Rangeland, Wildlife and Fisheries Management, Texas A&M University, College Station, TX, 77843-2138, USA
| | - Martin Duľa
- Department of Forest Ecology, Faculty of Forestry and Wood Technology, Mendel University, 613 00, Brno, Czech Republic
| | - Jarred F Duquette
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA
| | - Jana A Eccard
- Animal Ecology, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
| | - Meaghan N Evans
- Danau Girang Field Centre, Sabah Wildlife Department, 88100, Kota Kinabalu, Sabah, Malaysia
- Organisms and Environment Division, School of Biosciences, Cardiff University, Cardiff, CF10 3AX, UK
| | - Adam W Ferguson
- Mpala Research Centre, 555-10400, Nanyuki, Kenya
- Department of Biological Sciences, Chicago State University, 9501 S. King Drive, Chicago, IL, 60628, USA
| | - Claudia Fichtel
- German Primate Center, Behavioral Ecology and Sociobiology Unit, 37077, Göttingen, Germany
| | - Adam T Ford
- Department of Biology, University of British Columbia, 1177 Research Road, Kelowna, British Columbia, Canada
| | - Nicholas L Fowler
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA
| | - Benedikt Gehr
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057, Zurich, Switzerland
| | - Wayne M Getz
- Department of Environmental Science Policy & Management, 130 Mulford Hall, University of California at Berkeley, Berkeley, CA, 94720-3112, USA
- School of Mathematical Sciences, University of KwaZulu-Natal, Private Bag X54001, Durban, 4000, South Africa
| | - Jacob R Goheen
- Department of Zoology and Physiology, University of Wyoming, Laramie, WY, 82071, USA
| | - Benoit Goossens
- Danau Girang Field Centre, Sabah Wildlife Department, 88100, Kota Kinabalu, Sabah, Malaysia
- Organisms and Environment Division, School of Biosciences, Cardiff University, Cardiff, CF10 3AX, UK
| | - Stefano Grignolio
- Department of Life Science and Biotechnology, University of Ferrara, Via Borsari 46, I-44121, Ferrara, Italy
| | - Lars Haugaard
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Morgan Hauptfleisch
- Biodiversity Research Centre, Agriculture and Natural Resources Sciences, Namibia University of Science and Technology, Windhoek, Namibia
| | - Morten Heim
- Norwegian Institute for Nature Research, P.O. Box 5685 Torgarden, NO-7485, Trondheim, Norway
| | - Marco Heurich
- Department of National Park Monitoring and Animal Management, Bavarian Forest National Park, Freyunger Str. 2, 94481, Grafenau, Germany
- Chair of Wildlife Ecology and Management, Faculty of Environment and Natural Resources, University of Freiburg, Tennenbacher Straße 4, 79106, Freiburg, Germany
- Institute of Forestry and Wildlife Management, Inland Norway University of Applied Science, NO-2480, Koppang, Norway
| | | | - Lynne A Isbell
- Department of Anthropology, University of California, Davis, CA, 95616, USA
- Animal Behavior Graduate Group, University of California, Davis, CA, 95616, USA
| | | | - Anders Jarnemo
- School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden
| | - Florian Jeltsch
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
| | - Jezek Miloš
- Department of Game Management and Wildlife Biology, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Kamýcká 129, Prague 6-Suchdol, 165 00, Czech Republic
| | - Petra Kaczensky
- Norwegian Institute for Nature Research, P.O. Box 5685 Torgarden, NO-7485, Trondheim, Norway
- Research Institute of Wildlife Ecology, University of Veterinary Medicine Vienna, A-1160, Vienna, Austria
| | - Tomasz Kamiński
- Mammal Research Institute, Polish Academy of Sciences, Stoczek 1, 17-230, Białowieża, Poland
| | - Peter Kappeler
- German Primate Center, Behavioral Ecology and Sociobiology Unit, 37077, Göttingen, Germany
- Department of Sociobiology/Anthropology, University of Göttingen, 37077, Göttingen, Germany
| | - Katharina Kasper
- Mammal Research Institute, Polish Academy of Sciences, Stoczek 1, 17-230, Białowieża, Poland
| | - Todd M Kautz
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA
| | - Sophia Kimmig
- Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | - Petter Kjellander
- Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, 730 91, Riddarhyttan, Sweden
| | - Rafał Kowalczyk
- Mammal Research Institute, Polish Academy of Sciences, Stoczek 1, 17-230, Białowieża, Poland
| | - Stephanie Kramer-Schadt
- Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
- Institute of Ecology, Chair of Planning-Related Animal Ecology, Technische Universität Berlin, Potsdam, Germany
| | - Max Kröschel
- Chair of Wildlife Ecology and Management, Faculty of Environment and Natural Resources, University of Freiburg, Tennenbacher Straße 4, 79106, Freiburg, Germany
| | | | - Peter Linderoth
- Wildlife Research Unit, Agricultural Centre Baden-Wuerttemberg (LAZBW), 88326, Aulendorf, Germany
| | - Christoph Lobas
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
| | - Peter Lokeny
- Department of Biological Sciences, Chicago State University, 9501 S. King Drive, Chicago, IL, 60628, USA
| | - Mia-Lana Lührs
- German Primate Center, Behavioral Ecology and Sociobiology Unit, 37077, Göttingen, Germany
- Büro Renala, Gülper Hauptstr. 4, 14715, Havelaue, Germany
| | - Stephanie S Matsushima
- Center for Integrated Spatial Research, Environmental Studies Department, University of California, Santa Cruz, CA, 95060, USA
| | - Molly M McDonough
- Department of Biological Sciences, Chicago State University, 9501 S. King Drive, Chicago, IL, 60628, USA
| | - Jörg Melzheimer
- Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | | | | | - Leopold Obermair
- Department of Integrative Biology and Biodiversity Research, University of Natural Resources and Life Sciences, Vienna, Gregor-Mendel-Straße 33, 1180, Vienna, Austria
- Department of Integrative Biology and Evolution, Research Institute of Wildlife Ecology, University of Veterinary Medicine, Savoyenstraße 1, 1160, Vienna, Austria
- Hunting Association of Lower Austria, Wickenburggasse 3, 1080, Vienna, Austria
| | - Kirk A Olson
- Norwegian Institute for Nature Research, P.O. Box 5685 Torgarden, NO-7485, Trondheim, Norway
| | - Kidan C Patanant
- Technische Universität München, Arcisstraße 21, 80333, München, Germany
| | - John C Payne
- Wildlife Conservation Society, Mongolia Program, Ulaanbaatar, Mongolia
| | - Tyler R Petroelje
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA
| | - Manuel Pina
- Tragsatec, C. de Julián Camarillo, 6B, San Blas-Canillejas, 28037, Madrid, Spain
| | - Josep Piqué
- Tragsatec, C. de Julián Camarillo, 6B, San Blas-Canillejas, 28037, Madrid, Spain
| | - Joseph Premier
- Department of National Park Monitoring and Animal Management, Bavarian Forest National Park, Freyunger Str. 2, 94481, Grafenau, Germany
- Chair of Wildlife Ecology and Management, Faculty of Environment and Natural Resources, University of Freiburg, Tennenbacher Straße 4, 79106, Freiburg, Germany
| | - Jan Pufelski
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
| | - Lennart Pyritz
- German Primate Center, Behavioral Ecology and Sociobiology Unit, 37077, Göttingen, Germany
| | - Maurizio Ramanzin
- Dipertimento di agronomia, animali, alimenti, risorse naturali e ambiente, Università degli Studi di Padova, 35020, Legnaro PD, Italy
| | - Manuel Roeleke
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
| | - Christer M Rolandsen
- Norwegian Institute for Nature Research, P.O. Box 5685 Torgarden, NO-7485, Trondheim, Norway
| | - Sonia Saïd
- Office Français de la Biodiversité, Montfort, 01330, Birieux, France
| | - Robin Sandfort
- Department of Integrative Biology and Biodiversity Research, University of Natural Resources and Life Sciences, Vienna, Gregor-Mendel-Straße 33, 1180, Vienna, Austria
| | - Krzysztof Schmidt
- Mammal Research Institute, Polish Academy of Sciences, Stoczek 1, 17-230, Białowieża, Poland
| | - Niels M Schmidt
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
- Arctic Research Centre, Aarhus University, Aarhus, Denmark
| | - Carolin Scholz
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
- Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | - Nadine Schubert
- Department of Behavioural Ecology, Bielefeld University, Bielefeld, Germany
| | - Nuria Selva
- Institute of Nature Conservation, Polish Academy of Sciences, 31-120, Kraków, Poland
- Departamento de Ciencias Integradas, Facultad de Ciencias Experimentales, Centro de Estudios Avanzados en Física, Matemáticas y Computación, Universidad de Huelva, Huelva, Spain
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Sevilla, Spain
| | - Agnieszka Sergiel
- Institute of Nature Conservation, Polish Academy of Sciences, 31-120, Kraków, Poland
| | | | - Václav Silovský
- Department of Game Management and Wildlife Biology, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Kamýcká 129, Prague 6-Suchdol, 165 00, Czech Republic
| | - Rob Slotow
- Amarula Elephant Research Programme, School of Life Sciences, University of KwaZulu-Natal, Durban, 4041, South Africa
- Department of Genetics, Evolution and Environment, University College, London, WC1E 6BT, UK
| | - Leif Sönnichsen
- Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
- Mammal Research Institute, Polish Academy of Sciences, Stoczek 1, 17-230, Białowieża, Poland
| | - Erling J Solberg
- Norwegian Institute for Nature Research, P.O. Box 5685 Torgarden, NO-7485, Trondheim, Norway
| | | | - Garrett M Street
- Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University, Mississippi State, MS, USA
| | - Peter Sunde
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Nathan J Svoboda
- Alaska Department of Fish and Game, Wildlife Division, 11255 W. 8th Street, AK, USA
| | - Maria Thaker
- Center for Ecological Sciences, Indian Institute of Science, Bengaluru, 560012, India
| | - Maxi Tomowski
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
- Evolutionary Biology / Systematic Zoology, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Wiebke Ullmann
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
| | - Abi T Vanak
- School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for Biodiversity and Conservation, Ashoka Trust for Research in Ecology and the Environment, Bangalore, India
- Wellcome Trust/DBT India Alliance, Clinical and Public Health Program, Bengaluru, India
| | - Bettina Wachter
- Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | - Stephen L Webb
- Texas A&M Natural Resources Institute, and Department of Rangeland, Wildlife and Fisheries Management, Texas A&M University, College Station, TX, 77843-2138, USA
| | - Christopher C Wilmers
- Center for Integrated Spatial Research, Environmental Studies Department, University of California, Santa Cruz, CA, 95060, USA
| | | | | | - Niels Blaum
- Plant Ecology and Nature Conservation, Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany
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Araújo MB, Alagador D. Expanding European protected areas through rewilding. Curr Biol 2024; 34:3931-3940.e5. [PMID: 39151433 DOI: 10.1016/j.cub.2024.07.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/13/2024] [Accepted: 07/11/2024] [Indexed: 08/19/2024]
Abstract
Rewilding seeks to address biodiversity loss by restoring trophic interactions and fostering self-regulating ecosystems. Although gaining traction in Europe and North America, the extent to which rewilding can meet post-2020 protected-area targets remains uncertain. We formulated criteria to map suitable areas for rewilding by identifying large tracts of land with minimal human disturbances and the presence of key mammal species. We find that one-quarter of Europe, approximately 117 million hectares (ha), is compatible with our rewilding criteria. Of these, 70% are in cooler climates. Passive rewilding opportunities, focused on managing existing wilderness, are predominant in Scandinavia, Scotland, the Iberian Peninsula, and notably in the Baltic states, Ireland, and southeastern Europe. Active rewilding opportunities, marked by reintroduction of absent trophic guilds, are identified in Corsica, Sardinia, southern France, and parts of the Netherlands, Denmark, Sweden, and Norway. Our mapping supports European nations in leveraging land abandonment to expand areas for nature conservation, aligning with the European Biodiversity Strategy for 2030. Nevertheless, countries with limited potential for rewilding should consider alternative conservation strategies.
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Affiliation(s)
- Miguel B Araújo
- Department of Biogeography and Global Change, National Museum of Natural Sciences, CSIC, Calle José Gutiérrez Abascal, 2, 28806 Madrid, Spain; Rui Nabeiro Biodiversity Chair, MED - Mediterranean Institute for Agriculture, Environment and Development, University of Évora, Largo dos Colegiais, 2, 7004-516 Évora, Portugal.
| | - Diogo Alagador
- Rui Nabeiro Biodiversity Chair, MED - Mediterranean Institute for Agriculture, Environment and Development, University of Évora, Largo dos Colegiais, 2, 7004-516 Évora, Portugal
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5
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Williamson MJ, Tebbs EJ, Curnick DJ, Ferretti F, Carlisle AB, Chapple TK, Schallert RJ, Tickler DM, Block BA, Jacoby DMP. Environmental stress reduces shark residency to coral reefs. Commun Biol 2024; 7:1018. [PMID: 39251811 PMCID: PMC11385207 DOI: 10.1038/s42003-024-06707-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 08/08/2024] [Indexed: 09/11/2024] Open
Abstract
Coral reef ecosystems are highly threatened and can be extremely sensitive to the effects of climate change. Multiple shark species rely on coral reefs as important habitat and, as such, play a number of significant ecological roles in these ecosystems. How environmental stress impacts routine, site-attached reef shark behavior, remains relatively unexplored. Here, we combine 8 years of acoustic tracking data (2013-2020) from grey reef sharks resident to the remote coral reefs of the Chagos Archipelago in the Central Indian Ocean, with a satellite-based index of coral reef environmental stress exposure. We show that on average across the region, increased stress on the reefs significantly reduces grey reef shark residency, promoting more diffuse space use and increasing time away from shallow forereefs. Importantly, this impact has a lagged effect for up to 16 months. This may have important physiological and conservation consequences for reef sharks, as well as broader implications for reef ecosystem functioning. As climate change is predicted to increase environmental stress on coral reef ecosystems, understanding how site-attached predators respond to stress will be crucial for forecasting the functional significance of altering predator behavior and the potential impacts on conservation for both reef sharks and coral reefs themselves.
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Affiliation(s)
- Michael J Williamson
- Institute of Zoology, Zoological Society of London, London, UK.
- Department of Geography, King's College London, London, UK.
- Department of Genetics, Evolution and Environment, University College London, London, UK.
| | - Emma J Tebbs
- Department of Geography, King's College London, London, UK
| | - David J Curnick
- Institute of Zoology, Zoological Society of London, London, UK
| | - Francesco Ferretti
- Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA, USA
| | - Aaron B Carlisle
- School of Marine Science and Policy, University of Delaware, Lewes, DE, USA
| | - Taylor K Chapple
- Hatfield Marine Science Center, Oregon State University, Newport, OR, USA
| | | | - David M Tickler
- Marine Futures Lab, School of Biological Sciences, University of Western Australia, Perth, WA, Australia
| | - Barbara A Block
- Hopkins Marine Station, Stanford University, Pacific Grove, CA, USA
| | - David M P Jacoby
- Institute of Zoology, Zoological Society of London, London, UK.
- Lancaster Environment Centre, Lancaster University, Lancaster, UK.
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6
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Villalva P, Palomares F, Zanin M. Effect of uneven tolerance to human disturbance on dominance interactions of top predators. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024:e14364. [PMID: 39225252 DOI: 10.1111/cobi.14364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 04/29/2024] [Accepted: 06/10/2024] [Indexed: 09/04/2024]
Abstract
Anthropogenic activities may alter felid assemblage structure, facilitating the persistence of tolerant species (commonly mesopredators), excluding ecologically demanding ones (top predators) and, consequently, changing coexistence rules. We aimed to determine how human activities influence intraguild relationships among top predators and their cascading effects on mesopredators, which remain poorly understood despite evidence of top carnivore decline. We used structural equation modeling at a continental scale to investigate how habitat quality and quantity, livestock density, and other human pressures modified the intraguild relations of the 3 species that are at the top of the food chain in the Neotropics: jaguars (Panthera onca), pumas (Puma concolor), and ocelots (Leopardus pardalis). We included presence-absence data derived from systematic studies compiled in Neocarnivores data set for these felid species at 0.0833° resolution. Human disturbance reduced the probability of jaguar occurrence by -0.35 standard deviations. Unexpectedly, the presence of sheep (Ovis aries) or goats (Capra aegagrus hircus) and jaguars was positively related to the presence of pumas, whereas puma presence was negatively related to the presence of ocelots. Extent of forest cover had more of an effect on jaguar (β = 0.23) and ocelot (β = 0.12) occurrences than the extent of protected area, which did not have a significant effect. The lack of effect of human activities on puma presence and the positive effect of small livestock supports the notion that pumas are more adaptable to habitat disturbance than jaguars. Our findings suggest that human disturbance has the potential to reverse the hierarchical competition dominance among large felids, leading to an unbalanced community structure. This shift disadvantages jaguars and elevates the position of pumas in the assemblage hierarchy, resulting in the exclusion of ocelots, despite their relatively lower susceptibility to anthropogenic disturbance. Our results suggest that conservation efforts should extend beyond protected areas to encompass the surrounding landscape, where complexities and potential conflicts are more pronounced.
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Affiliation(s)
- Pablo Villalva
- Integrative Ecology Group, Estación Biológica de Doñana, CSIC, Sevilla, Spain
- Department of Ecoinformatics and Biodiversity, Aarhus University, Aarhus, Denmark
| | - Francisco Palomares
- Conservation Biology Department, Estación Biológica de Doñana, CSIC, Sevilla, Spain
| | - Marina Zanin
- Ecology Department, Rio de Janeiro State University, Rio de Janeiro, Brazil
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7
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Mills KL, Bennitt E, Zhu K, Bartlam-Brooks HLA, Hubel TY, Wilson AM, Carter NH, Sanders NJ. Dynamic primary resources, not just wild prey availability, underpin lion depredation of livestock in a savanna ecosystem. Ecol Evol 2024; 14:e70208. [PMID: 39247168 PMCID: PMC11381087 DOI: 10.1002/ece3.70208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 07/29/2024] [Accepted: 08/09/2024] [Indexed: 09/10/2024] Open
Abstract
Because it can lead to retaliatory killing, livestock depredation by large carnivores is among the foremost threats to carnivore conservation, and it severely impacts human well-being worldwide. Ongoing climate change can amplify these human-wildlife conflicts, but such issues are largely unexplored, though are becoming increasingly recognized. Here, we assessed how the availability of primary resources and wild prey interact to shape large carnivore selection for livestock rather than wild prey (i.e., via prey switching or apparent competition). Specifically, we combined remotely sensed estimates of primary resources (i.e., water availability and primary productivity), wild prey movement, and 7 years (2015-2021) of reports for livestock depredation by African lions (Panthera leo) in the Makgadikgadi Pans ecosystem, Botswana. Although livestock depredation did not vary between wet versus dry seasons, analyses at finer temporal scales revealed higher incidences of livestock depredation when primary production, water availability, and wild prey availability were lower, though the effects of wild prey availability were mediated by water availability. Increased precipitation also amplified livestock depredation events despite having no influence on wild prey availability. Our results suggest that livestock depredation is influenced by the diverse responses of livestock, wild prey, and lions to primary resource availability, a driver that is largely overlooked or oversimplified in studies of human-carnivore conflict. Our findings provide insight into tailoring potential conflict mitigation strategies to fine-scale changes in resource conditions to efficiently reduce conflict and support human livelihoods.
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Affiliation(s)
- Kirby L Mills
- Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor Michigan USA
- Institute for Global Change Biology, University of Michigan Ann Arbor Michigan USA
| | - Emily Bennitt
- Okavango Research Institute, University of Botswana Maun Botswana
| | - Kai Zhu
- Institute for Global Change Biology, University of Michigan Ann Arbor Michigan USA
- School for Environment and Sustainability University of Michigan Ann Arbor Michigan USA
| | | | - Tatjana Y Hubel
- Structure and Motion Laboratory Royal Veterinary College Hatfield UK
| | - Alan M Wilson
- Structure and Motion Laboratory Royal Veterinary College Hatfield UK
| | - Neil H Carter
- Institute for Global Change Biology, University of Michigan Ann Arbor Michigan USA
- School for Environment and Sustainability University of Michigan Ann Arbor Michigan USA
| | - Nathan J Sanders
- Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor Michigan USA
- Institute for Global Change Biology, University of Michigan Ann Arbor Michigan USA
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8
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Picardi S, Frederick P, Basille M. Fitness consequences of anthropogenic subsidies for a partially migratory wading bird. Proc Biol Sci 2024; 291:20241530. [PMID: 39317314 PMCID: PMC11421930 DOI: 10.1098/rspb.2024.1530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 08/29/2024] [Accepted: 08/30/2024] [Indexed: 09/26/2024] Open
Abstract
Human activities are forcing wildlife to confront selective pressures different from those under which they evolved. In seasonal environments, migration evolved as an adaptation to fluctuating resource availability. Anthropogenic subsidies modify resource dynamics by providing a steady food source that is not subject to seasonality. Globally, many migratory populations are becoming increasingly resident in response to food supplementation. While these population-level shifts are assumed to arise from changing fitness consequences of individual behaviour in response to resource dynamics, these mechanisms are often difficult to quantify and disentangle. Here, we quantified fitness consequences of responses to anthropogenic subsidies in partially migratory wood storks (Mycteria americana) in the heavily urbanized southeastern United States. First, we tested whether individual migratory behaviour is linked to different responses to anthropogenic subsidies. Second, we quantified fitness consequences of these behavioural responses. We found that, in our system, migration and residency are alternative behavioural tactics associated with different responses to food supplementation. In turn, the use of anthropogenic resources alters a fitness component by enhancing nest survival. These results provide a mechanistic examination of how animals may respond to human-modified resource dynamics and how fitness consequences of individual tactics may translate into behavioural shifts at the population level.
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Affiliation(s)
- Simona Picardi
- Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID, USA
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA
- Fort Lauderdale Research and Education Center, University of Florida, Davie, FL, USA
| | - Peter Frederick
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA
| | - Mathieu Basille
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA
- Fort Lauderdale Research and Education Center, University of Florida, Davie, FL, USA
- PatriNat (OFB, MNHN), Pérols34470, France
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9
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Carroll G, Abrahms B, Brodie S, Cimino MA. Spatial match-mismatch between predators and prey under climate change. Nat Ecol Evol 2024; 8:1593-1601. [PMID: 38914712 DOI: 10.1038/s41559-024-02454-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 04/30/2024] [Indexed: 06/26/2024]
Abstract
Climate change is driving a rapid redistribution of life on Earth. Variability in the rates, magnitudes and directions of species' shifts can alter spatial overlap between predators and prey, with the potential to decouple trophic interactions. Although phenological mismatches between predator requirements and prey availability under climate change are well-established, 'spatial match-mismatch' dynamics remain poorly understood. We synthesize global evidence for climate-driven changes in spatial predator-prey overlap resulting from species redistribution across marine and terrestrial domains. We show that spatial mismatches can have vastly different outcomes for predator populations depending on their diet specialization and role within the wider ecosystem. We illustrate ecosystem-level consequences of climate-driven changes in spatial predator-prey overlap, from restructuring food webs to altering socio-ecological interactions. It remains unclear how predator-prey overlap at the landscape scale relates to prey encounter and consumption rates at local scales, or how the spatial reorganization of food webs affects ecosystem function. We identify key research directions necessary to resolve the scale of ecological impacts caused by species redistribution under climate change.
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Affiliation(s)
| | - Briana Abrahms
- Center for Ecosystem Sentinels, Department of Biology, University of Washington, Seattle, WA, USA
| | - Stephanie Brodie
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Environment, Brisbane, Queensland, Australia
| | - Megan A Cimino
- Institute of Marine Science, University of California Santa Cruz, Santa Cruz, CA, USA
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10
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Liczner AR, Pither R, Bennett JR, Bowman J, Hall KR, Fletcher RJ, Ford AT, Michalak JL, Rayfield B, Wittische J, Pither J. Advances and challenges in ecological connectivity science. Ecol Evol 2024; 14:e70231. [PMID: 39224156 PMCID: PMC11366504 DOI: 10.1002/ece3.70231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 08/01/2024] [Accepted: 08/12/2024] [Indexed: 09/04/2024] Open
Abstract
Maintaining and restoring ecological connectivity will be key in helping to prevent and reverse the loss of biodiversity. Fortunately, a growing body of research conducted over the last few decades has advanced our understanding of connectivity science, which will help inform evidence-based connectivity conservation actions. Increases in data availability and computing capacity have helped to dramatically increase our ability to model functional connectivity using more sophisticated models. Keeping track of these advances can be difficult, even for connectivity scientists and practitioners. In this article, we highlight some key advances from the past decade and outline many of the remaining challenges. We describe the efforts to increase the biological realism of connectivity models by, for example, isolating movement behaviors, population parameters, directional movements, and the effects of climate change. We also discuss considerations of when to model connectivity for focal or multiple species. Finally, we reflect on how to account for uncertainty and increase the transparency and reproducibility of connectivity research and discuss situations where decisions may require forgoing sophistication for more simple approaches.
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Affiliation(s)
- Amanda R. Liczner
- Okanagan Institute for Biodiversity, Resilience and Ecosystem ServicesUniversity of British ColumbiaKelownaBritish ColumbiaCanada
| | - Richard Pither
- National Wildlife Research CentreEnvironment and Climate Change CanadaOttawaOntarioCanada
| | | | - Jeff Bowman
- Wildlife Research and Monitoring SectionOntario Ministry of Natural Resources and ForestryPeterboroughOntarioCanada
| | | | - Robert J. Fletcher
- Department of Wildlife Ecology and ConservationUniversity of FloridaGainesvilleFloridaUSA
| | - Adam T. Ford
- Okanagan Institute for Biodiversity, Resilience and Ecosystem ServicesUniversity of British ColumbiaKelownaBritish ColumbiaCanada
- Department of Biology, Irving K. Barber Faculty of ScienceUniversity of British ColumbiaKelownaBritish ColumbiaCanada
| | - Julia L. Michalak
- School of Environmental and Forest SciencesUniversity of WashingtonSeattleWashingtonUSA
| | | | - Julian Wittische
- National Museum of Natural HistoryLuxembourgLuxembourg
- Fondation Faune‐FloreLuxembourgLuxembourg
- Department of Biological SciencesComplexe Des SciencesMontréalQuébecCanada
| | - Jason Pither
- Okanagan Institute for Biodiversity, Resilience and Ecosystem ServicesUniversity of British ColumbiaKelownaBritish ColumbiaCanada
- Department of Biology, Irving K. Barber Faculty of ScienceUniversity of British ColumbiaKelownaBritish ColumbiaCanada
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11
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Feng X, Peterson AT, Aguirre-López LJ, Burger JR, Chen X, Papeş M. Rethinking ecological niches and geographic distributions in face of pervasive human influence in the Anthropocene. Biol Rev Camb Philos Soc 2024; 99:1481-1503. [PMID: 38597328 DOI: 10.1111/brv.13077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 03/08/2024] [Accepted: 03/18/2024] [Indexed: 04/11/2024]
Abstract
Species are distributed in predictable ways in geographic spaces. The three principal factors that determine geographic distributions of species are biotic interactions (B), abiotic conditions (A), and dispersal ability or mobility (M). A species is expected to be present in areas that are accessible to it and that contain suitable sets of abiotic and biotic conditions for it to persist. A species' probability of presence can be quantified as a combination of responses to B, A, and M via ecological niche modeling (ENM; also frequently referred to as species distribution modeling or SDM). This analytical approach has been used broadly in ecology and biogeography, as well as in conservation planning and decision-making, but commonly in the context of 'natural' settings. However, it is increasingly recognized that human impacts, including changes in climate, land cover, and ecosystem function, greatly influence species' geographic ranges. In this light, historical distinctions between natural and anthropogenic factors have become blurred, and a coupled human-natural landscape is recognized as the new norm. Therefore, B, A, and M (BAM) factors need to be reconsidered to understand and quantify species' distributions in a world with a pervasive signature of human impacts. Here, we present a framework, termed human-influenced BAM (Hi-BAM, for distributional ecology that (i) conceptualizes human impacts in the form of six drivers, and (ii) synthesizes previous studies to show how each driver modifies the natural BAM and species' distributions. Given the importance and prevalence of human impacts on species distributions globally, we also discuss implications of this framework for ENM/SDM methods, and explore strategies by which to incorporate increasing human impacts in the methodology. Human impacts are redefining biogeographic patterns; as such, future studies should incorporate signals of human impacts integrally in modeling and forecasting species' distributions.
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Affiliation(s)
- Xiao Feng
- Department of Biology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | | | | | - Joseph R Burger
- Department of Biology, University of Kentucky, Lexington, KY, 40502, USA
| | - Xin Chen
- Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, 21532, USA
| | - Monica Papeş
- Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN, 37996, USA
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12
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Corley M, Garcia de la Chica A, van der Heide G, Rotundo M, Caccone A, Fernandez-Duque E. Inbreeding avoidance, competition and natal dispersal in a pair-living, genetically monogamous mammal, Azara's owl monkey ( Aotus azarae). ROYAL SOCIETY OPEN SCIENCE 2024; 11:240379. [PMID: 39113772 PMCID: PMC11305132 DOI: 10.1098/rsos.240379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 06/17/2024] [Accepted: 06/25/2024] [Indexed: 08/10/2024]
Abstract
Natal dispersal is an important life-history stage influencing individual fitness, social dynamics of groups and population structure. Understanding factors influencing dispersal is essential for evaluating explanations for the evolution and maintenance of social organization, including parental care and mating systems. The social and mating systems of Azara's owl monkeys (Aotus azarae) are infrequent among mammals; these primates are pair-living, serially and genetically monogamous and both sexes directly care for offspring. To evaluate the role that competition and inbreeding avoidance play in shaping dispersal patterns, we used 25 years of demographic and genetic data to examine how variation in timing of natal dispersal is related to social (adult replacements, step-parents, births and group size) and ecological factors (seasonal abundance of resources) in a wild population of A. azarae in Formosa, Argentina. We found that all males and females dispersed from their natal groups, but subadults delayed dispersal when a step-parent of the opposite sex joined the group, indicating that they may perceive these step-parents as potential mates. Dispersal was more probable when resource conditions were better, regardless of age. Overall, agonistic conflict over food and potential mates with adults in the natal group, as well as inbreeding avoidance, contribute to regulating dispersal.
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Affiliation(s)
- Margaret Corley
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
- Owl Monkey Project, Fundación ECO, Formosa, Argentina
| | - Alba Garcia de la Chica
- Owl Monkey Project, Fundación ECO, Formosa, Argentina
- Departamento de Ecología, Genética y Evolución-Facultad de Ciencias Exactas y Naturales, Laboratorio de Ecología y Comportamiento Animal, Universidad de Buenos Aires, Buenos Aires, Argentina
| | | | | | - Adalgisa Caccone
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
| | - Eduardo Fernandez-Duque
- Owl Monkey Project, Fundación ECO, Formosa, Argentina
- Department of Anthropology and School of the Environment, Yale University, New Haven, CT, USA
- Facultad de Recursos Naturales, Universidad Nacional de Formosa, Formosa, Argentina
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13
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Cooke SJ, Piczak ML, Singh NJ, Åkesson S, Ford AT, Chowdhury S, Mitchell GW, Norris DR, Hardesty-Moore M, McCauley D, Hammerschlag N, Tucker MA, Horns JJ, Reisinger RR, Kubelka V, Lennox RJ. Animal migration in the Anthropocene: threats and mitigation options. Biol Rev Camb Philos Soc 2024; 99:1242-1260. [PMID: 38437713 DOI: 10.1111/brv.13066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 02/07/2024] [Accepted: 02/09/2024] [Indexed: 03/06/2024]
Abstract
Animal migration has fascinated scientists and the public alike for centuries, yet migratory animals are facing diverse threats that could lead to their demise. The Anthropocene is characterised by the reality that humans are the dominant force on Earth, having manifold negative effects on biodiversity and ecosystem function. Considerable research focus has been given to assessing anthropogenic impacts on the numerical abundance of species/populations, whereas relatively less attention has been devoted to animal migration. However, there are clear linkages, for example, where human-driven impacts on migration behaviour can lead to population/species declines or even extinction. Here, we explore anthropogenic threats to migratory animals (in all domains - aquatic, terrestrial, and aerial) using International Union for the Conservation of Nature (IUCN) Threat Taxonomy classifications. We reveal the diverse threats (e.g. human development, disease, invasive species, climate change, exploitation, pollution) that impact migratory wildlife in varied ways spanning taxa, life stages and type of impact (e.g. from direct mortality to changes in behaviour, health, and physiology). Notably, these threats often interact in complex and unpredictable ways to the detriment of wildlife, further complicating management. Fortunately, we are beginning to identify strategies for conserving and managing migratory animals in the Anthropocene. We provide a set of strategies that, if embraced, have the potential to ensure that migratory animals, and the important ecological functions sustained by migration, persist.
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Affiliation(s)
- Steven J Cooke
- Department of Biology and Institute of Environmental and Interdisciplinary Science, Carleton University, 1125 Colonel By Dr, Ottawa, Ontario, K1S 5B6, Canada
| | - Morgan L Piczak
- Department of Biology and Institute of Environmental and Interdisciplinary Science, Carleton University, 1125 Colonel By Dr, Ottawa, Ontario, K1S 5B6, Canada
| | - Navinder J Singh
- Department of Wildlife, Fish and Environmental Studies, Faculty of Forest Sciences, Swedish University of Agricultural Sciences, Umeå, 90183, Sweden
| | - Susanne Åkesson
- Department of Biology, Centre for Animal Movement Research, Lund University, Ecology Building, Lund, 22362, Sweden
| | - Adam T Ford
- Department of Biology, University of British Columbia, 1177 Research Road, Kelowna, British Columbia, V1V 1V7, Canada
| | - Shawan Chowdhury
- Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger Straße 159, Jena, 07743, Germany
- Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstr, 15, Leipzig, 04318, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr, 4, Leipzig, 04103, Germany
| | - Greg W Mitchell
- Department of Biology and Institute of Environmental and Interdisciplinary Science, Carleton University, 1125 Colonel By Dr, Ottawa, Ontario, K1S 5B6, Canada
- Wildlife Research Division, Science and Technology Branch, Environment and Climate Change Canada, 1125 Colonel By Dr, Ottawa, Ontario, K1A 0H3, Canada
| | - D Ryan Norris
- Department of Integrative Biology, University of Guelph, 50 Stone Rd. E, Guelph, Ontario, N1G 2W1, Canada
| | - Molly Hardesty-Moore
- Department of Ecology, Evolution, and Marine Biology and Marine Science Institute, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA
| | - Douglas McCauley
- Department of Ecology, Evolution, and Marine Biology and Marine Science Institute, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA
| | - Neil Hammerschlag
- Atlantic Shark Expeditions, 29 Wideview Lane, Boutiliers Point, Nova Scotia, B3Z 0M9, Canada
| | - Marlee A Tucker
- Radboud Institute of Biological and Environmental Sciences, Radboud University, Houtlaan 4, Nijmegen, 6525, The Netherlands
| | - Joshua J Horns
- Department of Biology, University of Utah, 257 South 1400 East, Salt Lake City, UT, 84112, USA
| | - Ryan R Reisinger
- School of Ocean and Earth Science, University of Southampton, National Oceanography Center Southampton, University Way, Southampton, SO14 3ZH, UK
| | - Vojtěch Kubelka
- Dept of Zoology and Centre for Polar Ecology, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
| | - Robert J Lennox
- Ocean Tracking Network, Faculty of Science, Dalhousie University, 1355 Oxford St, Halifax, Nova Scotia, B3H 3Z1, Canada
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14
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Spiegel O, Michelangeli M, Sinn DL, Payne E, Klein JRV, Kirkpatrick J, Harbusch M, Sih A. Resource manipulation reveals interactive phenotype-dependent foraging in free-ranging lizards. J Anim Ecol 2024; 93:1108-1122. [PMID: 38877691 DOI: 10.1111/1365-2656.14128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 05/07/2024] [Indexed: 06/16/2024]
Abstract
Recent evidence suggests that individuals differ in foraging tactics and this variation is often linked to an individual's behavioural type (BT). Yet, while foraging typically comprises a series of search and handling steps, empirical investigations have rarely considered BT-dependent effects across multiple stages of the foraging process, particularly in natural settings. In our long-term sleepy lizard (Tiliqua rugosa) study system, individuals exhibit behavioural consistency in boldness (measured as an individual's willingness to approach a novel food item in the presence of a threat) and aggressiveness (measured as an individual's response to an 'attack' by a conspecific dummy). These BTs are only weakly correlated and have previously been shown to have interactive effects on lizard space use and movement, suggesting that they could also affect lizard foraging performance, particularly in their search behaviour for food. To investigate how lizards' BTs affect their foraging process in the wild, we supplemented food in 123 patches across a 120-ha study site with three food abundance treatments (high, low and no-food controls). Patches were replenished twice a week over the species' entire spring activity season and feeding behaviours were quantified with camera traps at these patches. We tracked lizards using GPS to determine their home range (HR) size and repeatedly assayed their aggressiveness and boldness in designated assays. We hypothesised that bolder lizards would be more efficient foragers while aggressive ones would be less attentive to the quality of foraging patches. We found an interactive BT effect on overall foraging performance. Individuals that were both bold and aggressive ate the highest number of food items from the foraging array. Further dissection of the foraging process showed that aggressive lizards in general ate the fewest food items in part because they visited foraging patches less regularly, and because they discriminated less between high and low-quality patches when revisiting them. Bolder lizards, in contrast, ate more tomatoes because they visited foraging patches more regularly, and ate a higher proportion of the available tomatoes at patches during visits. Our study demonstrates that BTs can interact to affect different search and handling components of the foraging process, leading to within-population variation in foraging success. Given that individual differences in foraging and movement will influence social and ecological interactions, our results highlight the potential role of BT's in shaping individual fitness strategies and population dynamics.
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Affiliation(s)
- Orr Spiegel
- School of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Marcus Michelangeli
- Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
- School of Biological Sciences, Monash University, Melbourne, Victoria, Australia
- School of Environment and Science, Griffith University, Nathan, Queensland, Australia
| | - David L Sinn
- Department of Environmental Science and Policy, University of California, Davis, California, USA
| | - Eric Payne
- Department of Environmental Science and Policy, University of California, Davis, California, USA
| | - Janine-Rose V Klein
- Department of Anthropology, University of California, Santa Barbara, California, USA
| | - Jamie Kirkpatrick
- Department of Anthropology, University of California, Santa Barbara, California, USA
| | - Marco Harbusch
- Georg-August-Büsgen-Institut, Universität Göttingen, Göttingen, Germany
| | - Andrew Sih
- Department of Environmental Science and Policy, University of California, Davis, California, USA
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15
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Xu D, Peng J, Dong J, Jiang H, Liu M, Luo Y, Xu Z. Expanding China's protected areas network to enhance resilience of climate connectivity. Sci Bull (Beijing) 2024; 69:2273-2280. [PMID: 38724302 DOI: 10.1016/j.scib.2024.04.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 03/24/2024] [Accepted: 03/26/2024] [Indexed: 07/22/2024]
Abstract
Expanding the network of connected and resilient protected areas (PAs) for climate change adaptation can help species track suitable climate conditions and safeguard biodiversity. This is often overlooked when expanding PAs and quantifying their benefits, resulting in an underestimate of the benefits of expanding PAs. We expanded PAs through terrestrial mammalian species distribution hotspots, Key Biodiversity Areas (KBAs), and wilderness areas. Then, we constructed climate connectivity networks using a resistance-based approach and further quantified the network resilience to propose resilient climate response strategies in China. The results showed that existing PAs suffered from location biases with important biodiversity areas. The existing PAs represented about half of the KBAs and wilderness areas, yet only 12.08% of terrestrial mammalian species distribution hotspots were located within existing PAs. Compared with the existing PA network, the network efficiency and resilience of the expanded PAs' climate connectivity increased to 1.80 times and 1.78 times, respectively. With 56% of the nodes remaining, the network efficiency of the expanded PAs was equivalent to that of the existing PAs with all nodes. The network resilience of preferentially protecting and restoring low human footprint patches was approximately 1.5-2 times that of the random scenario. These findings highlighted that confronted with the unoptimistic situation of global warming, nature conservation based on existing PAs was no longer optimal. It was critical to construct a connected and resilient conservation network relying on both important biodiversity areas and low human footprint patches.
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Affiliation(s)
- Dongmei Xu
- Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, Ministry of Natural Resources, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Jian Peng
- Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, Ministry of Natural Resources, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
| | - Jianquan Dong
- School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
| | - Hong Jiang
- Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, Ministry of Natural Resources, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Menglin Liu
- Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
| | - Yuhang Luo
- Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
| | - Zihan Xu
- School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
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16
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Li X, Bleisch WV, Hu W, Li Q, Wang H, Chen Z, Bai R, Jiang XL. Human disturbance increases spatiotemporal associations among mountain forest terrestrial mammal species. eLife 2024; 12:RP92457. [PMID: 38949865 PMCID: PMC11216745 DOI: 10.7554/elife.92457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2024] Open
Abstract
Spatial and temporal associations between sympatric species underpin biotic interactions, structure ecological assemblages, and sustain ecosystem functioning and stability. However, the resilience of interspecific spatiotemporal associations to human activity remains poorly understood, particularly in mountain forests where anthropogenic impacts are often pervasive. Here, we applied context-dependent Joint Species Distribution Models to a systematic camera-trap survey dataset from a global biodiversity hotspot in eastern Himalayas to understand how prominent human activities in mountain forests influence species associations within terrestrial mammal communities. We obtained 10,388 independent detections of 17 focal species (12 carnivores and five ungulates) from 322 stations over 43,163 camera days of effort. We identified a higher incidence of positive associations in habitats with higher levels of human modification (87%) and human presence (83%) compared to those located in habitats with lower human modification (64%) and human presence (65%) levels. We also detected a significant reduction of pairwise encounter time at increasing levels of human disturbance, corresponding to more frequent encounters between pairs of species. Our findings indicate that human activities can push mammals together into more frequent encounters and associations, which likely influences the coexistence and persistence of wildlife, with potential far-ranging ecological consequences.
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Affiliation(s)
- Xueyou Li
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
| | - William V Bleisch
- China Exploration and Research Society, 2707-08 SouthMark, Wong Chuk HangHong KongChina
| | - Wenqiang Hu
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
| | - Quan Li
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
| | - Hongjiao Wang
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
| | - Zhongzheng Chen
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal UniversityWuhuChina
| | - Ru Bai
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
| | - Xue-Long Jiang
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of SciencesKunmingChina
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17
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Märtz J, Tallian A, Wikenros C, Heeres RW. "ClusterApp": A Shiny R application to guide cluster studies based on GPS data. Ecol Evol 2024; 14:e11695. [PMID: 39045504 PMCID: PMC11263757 DOI: 10.1002/ece3.11695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 06/18/2024] [Accepted: 06/24/2024] [Indexed: 07/25/2024] Open
Abstract
The rapid evolution of GPS devices, and therefore, collection of GPS data can be used to investigate a wide variety of topics in wildlife research. The combination of remotely collected GPS data with on-the-ground field investigations is a powerful tool for exploring behavioral ecology. "GPS cluster studies" are aimed at pinpointing and investigating identified clusters in the field. Activity clusters can be based on various parameters (e.g., distance between GPS locations and the number of locations needed to establish a cluster), which are closely related to the set research questions. Variation in methods across years within the same study may result in data collection biases. Therefore, a streamlined method to parametrize, generate interactive maps, and extract activity cluster data using a predefined approach will limit biases, and make field work and data management straightforward for field technicians. We developed the "ClusterApp" Shiny application in the R software to facilitate a step-by-step guide to execute cluster analyses and data management of cluster studies on any species using GPS data. We illustrate the use of the "ClusterApp" with two location datasets constructed by data collected on brown bears (Ursus arctos) and gray wolves (Canis lupus).
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Affiliation(s)
- Johanna Märtz
- Department of EcologySwedish University of Agricultural SciencesRiddarhyttanSweden
| | - Aimee Tallian
- Norwegian Institute for Nature ResearchTrondheimNorway
| | - Camilla Wikenros
- Department of EcologySwedish University of Agricultural SciencesRiddarhyttanSweden
| | - Rick W. Heeres
- Department of Natural Sciences and Environmental HealthUniversity of South‐Eastern NorwayBøNorway
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18
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Wan Y, Li L, Zhou J, Ma Y, Zhang Y, Liu Y, Li J, Liu W. Predicting the potential distribution change of the endangered Francois' langur ( Trachypithecus francoisi) across its entire range in China under climate change. Ecol Evol 2024; 14:e11684. [PMID: 38988350 PMCID: PMC11236436 DOI: 10.1002/ece3.11684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 05/31/2024] [Accepted: 06/20/2024] [Indexed: 07/12/2024] Open
Abstract
The Francois' langur (Trachypithecus francoisi) is a rare primate species indicated as endangered and distributed in karst areas in northern Vietnam and southwestern China. However, research limited to specific nature reserves or sites has hampered holistic conservation management. A comprehensive map of the potential distribution for the Francois' langur is essential to advance conservation efforts and ensure coordinated management across regions. Here, we used 82 occurrence records of Francois' langur surveyed in Guangxi, Guizhou, and Chongqing from 2017 to 2020, along with 12 environmental variables, to build the potential habitat model under current and future climate (2030, 2050, 2070, and 2090s) using maximum entropy models (MaxEnt). Our results indicated that (1) precipitation- and temperature-associated bioclimatic variables contributed the most to the distribution of Francois' langur. Vegetation, water sources, and anthropogenic variables also affected its distribution; (2) a total of 144,207.44 km2 of potential suitable habitat across the entire range in China was estimated by the current model. Moderate- and high-suitability habitats accounted for only 23.76% (34,265.96 km2) of the predicted suitable habitat and were mainly distributed in southwest Guangxi, east of Chongqing, and the border between Guizhou and Chongqing; (3) the suitable habitats of Francois' langur will contract considerably under future climate change, and the habitat centroid will move in the southeast direction with a shifting distance of approximately 2.84 km/year from current to 2100. The habitat prediction of Francois' langur and the main drivers proposed in this study could provide essential insights for the future conservation of this endangered species. The existing distribution areas should be monitored and protected, but conservation beyond existing habitats should also be a focus of effort, especially in future expansion areas. This would ensure effective and timely protection under climate change and anthropogenic pressures.
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Affiliation(s)
- Yaqiong Wan
- The State Environmental Protection Key Laboratory on Biodiversity and Biosafety, Nanjing Institute of Environmental Sciences Ministry of Ecology and Environment Nanjing China
| | - Luanxin Li
- The State Environmental Protection Key Laboratory on Biodiversity and Biosafety, Nanjing Institute of Environmental Sciences Ministry of Ecology and Environment Nanjing China
| | - Jiang Zhou
- School of Karst Science Guizhou Normal University Guiyang China
| | - Yue Ma
- The State Environmental Protection Key Laboratory on Biodiversity and Biosafety, Nanjing Institute of Environmental Sciences Ministry of Ecology and Environment Nanjing China
| | - Yanjing Zhang
- The State Environmental Protection Key Laboratory on Biodiversity and Biosafety, Nanjing Institute of Environmental Sciences Ministry of Ecology and Environment Nanjing China
| | - Yan Liu
- The State Environmental Protection Key Laboratory on Biodiversity and Biosafety, Nanjing Institute of Environmental Sciences Ministry of Ecology and Environment Nanjing China
| | - Jiaqi Li
- The State Environmental Protection Key Laboratory on Biodiversity and Biosafety, Nanjing Institute of Environmental Sciences Ministry of Ecology and Environment Nanjing China
| | - Wei Liu
- The State Environmental Protection Key Laboratory on Biodiversity and Biosafety, Nanjing Institute of Environmental Sciences Ministry of Ecology and Environment Nanjing China
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19
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Han Q, Li M, Keeffe G. Can large-scale tree planting in China compensate for the loss of climate connectivity due to deforestation? THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:172350. [PMID: 38608907 DOI: 10.1016/j.scitotenv.2024.172350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 04/01/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
Extensive deforestation has been a major reason for the loss of forest connectivity, impeding species range shifts under current climate change. Over the past decades, the Chinese government launched a series of afforestation and reforestation projects to increase forest cover, yet whether the new forests can compensate for the loss of connectivity due to deforestation-and where future tree planting would be most effective-remains largely unknown. Here, we evaluate changes in climate connectivity across China's forests between 2015 and 2019. We find that China's large-scale tree planting alleviated the negative impacts of forest loss on climate connectivity, improving the extent and probability of climate connectivity by 0-0.2 °C and 0-0.03, respectively. The improvements were particularly obvious for species with short dispersal distances (i.e., 3 km and 10 km). Nevertheless, only ~55 % of the trees planted in this period could serve as stepping stones for species movement. This indicates that focusing solely on the quantitative target of forest coverage without considering the connectivity of forests may miss opportunities in tree planting to facilitate climate-induced range shifts. More attention should be paid to the spatial arrangement of tree plantations and their potential as stepping stones. We then identify priority areas for future tree planting to create effective stepping stones. Our study highlights the potential of large-scale tree planting to facilitate range shifts. Future tree-planting efforts should incorporate the need for species range shifts to achieve more biodiversity conservation benefits under climate change.
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Affiliation(s)
- Qiyao Han
- Department of Landscape Architecture, Nanjing Agricultural University, China.
| | - Ming Li
- Institute of Geodesy and Photogrammetry, ETH Zurich, Switzerland
| | - Greg Keeffe
- School of Natural and Built Environment, Queen's University Belfast, UK
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20
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Cui Y, Carmona CP, Wang Z. Identifying global conservation priorities for terrestrial vertebrates based on multiple dimensions of biodiversity. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14205. [PMID: 37855155 DOI: 10.1111/cobi.14205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 11/28/2022] [Accepted: 10/11/2023] [Indexed: 10/20/2023]
Abstract
The Kunming-Montreal Global Biodiversity Framework of the Convention on Biological Diversity calls for an expansion of the current protected areas (PAs) to cover at least 30% of global land and water areas by 2030 (i.e., the 30×30 target). Efficient spatial planning for PA expansion is an urgent need for global conservation practice. A spatial prioritization framework considering multiple dimensions of biodiversity is critical for improving the efficiency of the spatial planning of PAs, yet it remains a challenge. We developed an index for the identification of priority areas based on functionally rare, evolutionarily distinct, and globally endangered species (FREDGE) and applied it to 21,536 terrestrial vertebrates. We determined species distributions, conservation status (global endangerment), molecular phylogenies (evolutionary distinctiveness), and life-history traits (functional rarity). Madagascar, Central America, and the Andes were of high priority for the conservation of multiple dimensions of terrestrial vertebrate biodiversity. However, 68.8% of grid cells in these priority areas had <17% of their area covered by PAs, and these priority areas were under intense anthropogenic and climate change threats. These results highlight the difficulties of conserving multiple dimensions of biodiversity. Our global analyses of the geographical patterns of multiple dimensions of terrestrial vertebrate biodiversity demonstrate the insufficiency of the conservation of different biodiversity dimensions, and our index, based on multiple dimensions of biodiversity, provides a useful tool for guiding future spatial prioritization of PA expansion to achieve the 30×30 target under serious pressures.
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Affiliation(s)
- Yu Cui
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | | | - Zhiheng Wang
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China
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21
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Svenning JC, McGeoch MA, Normand S, Ordonez A, Riede F. Navigating ecological novelty towards planetary stewardship: challenges and opportunities in biodiversity dynamics in a transforming biosphere. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230008. [PMID: 38583480 PMCID: PMC10999270 DOI: 10.1098/rstb.2023.0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/04/2024] [Indexed: 04/09/2024] Open
Abstract
Human-induced global changes, including anthropogenic climate change, biotic globalization, trophic downgrading and pervasive land-use intensification, are transforming Earth's biosphere, placing biodiversity and ecosystems at the forefront of unprecedented challenges. The Anthropocene, characterized by the importance of Homo sapiens in shaping the Earth system, necessitates a re-evaluation of our understanding and stewardship of ecosystems. This theme issue delves into the multifaceted challenges posed by the ongoing ecological planetary transformation and explores potential solutions across four key subthemes. Firstly, it investigates the functioning and stewardship of emerging novel ecosystems, emphasizing the urgent need to comprehend the dynamics of ecosystems under uncharted conditions. The second subtheme focuses on biodiversity projections under global change, recognizing the necessity of predicting ecological shifts in the Anthropocene. Importantly, the inherent uncertainties and the complexity of ecological responses to environmental stressors pose challenges for societal responses and for accurate projections of ecological change. The RAD framework (resist-accept-direct) is highlighted as a flexible yet nuanced decision-making tool that recognizes the need for adaptive approaches, providing insights for directing and adapting to Anthropocene dynamics while minimizing negative impacts. The imperative to extend our temporal perspective beyond 2100 is emphasized, given the irreversible changes already set in motion. Advancing methods to study ecosystem dynamics under rising biosphere novelty is the subject of the third subtheme. The fourth subtheme emphasizes the importance of integrating human perspectives into understanding, forecasting and managing novel ecosystems. Cultural diversity and biological diversity are intertwined, and the evolving relationship between humans and ecosystems offers lessons for future stewardship. Achieving planetary stewardship in the Anthropocene demands collaboration across scales and integration of ecological and societal perspectives, scalable approaches fit to changing, novel ecological conditions, as well as cultural innovation. This article is part of the theme issue 'Ecological novelty and planetary stewardship: biodiversity dynamics in a transforming biosphere'.
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Affiliation(s)
- Jens-Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark
- Center for Sustainable Landscapes under Global Change (SustainScapes), Department of Biology, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark
| | - Melodie A. McGeoch
- School of Biological Sciences, Monash University, Clayton, 3800 Victoria, Australia
| | - Signe Normand
- Center for Sustainable Landscapes under Global Change (SustainScapes), Department of Biology, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark
- Center for Landscape Research in Sustainable Agricultural Futures (Land-CRAFT), Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark
| | - Alejandro Ordonez
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark
- Center for Sustainable Landscapes under Global Change (SustainScapes), Department of Biology, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark
| | - Felix Riede
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark
- Department of Archaeology and Heritage Studies, Aarhus University, Moesgård Allé 20, 8270 Højbjerg, Denmark
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22
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Hosseini N, Ghorbanpour M, Mostafavi H. The influence of climate change on the future distribution of two Thymus species in Iran: MaxEnt model-based prediction. BMC PLANT BIOLOGY 2024; 24:269. [PMID: 38605338 PMCID: PMC11007882 DOI: 10.1186/s12870-024-04965-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 03/30/2024] [Indexed: 04/13/2024]
Abstract
Within a few decades, the species habitat was reshaped at an alarming rate followed by climate change, leading to mass extinction, especially for sensitive species. Species distribution models (SDMs), which estimate both present and future species distribution, have been extensively developed to investigate the impacts of climate change on species distribution and assess habitat suitability. In the West Asia essential oils of T. daenensis and T. kotschyanus include high amounts of thymol and carvacrol and are commonly used as herbal tea, spice, flavoring agents and medicinal plants. Therefore, this study aimed to model these Thymus species in Iran using the MaxEnt model under two representative concentration pathways (RCP 4.5 and RCP 8.5) for the years 2050 and 2070. The findings revealed that the mean temperature of the warmest quarter (bio10) was the most significant variable affecting the distribution of T. daenensis. In the case of T. kotschyanus, slope percentage was the primary influencing factor. The MaxEnt modeling also demonstrated excellent performance, as indicated by all the Area Under the Curve (AUC) values exceeding 0.9. Moreover, based on the projections, the two mentioned species are expected to undergo negative area changes in the coming years. These results can serve as a valuable achievement for developing adaptive management strategies aimed at enhancing protection and sustainable utilization in the context of global climate change.
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Affiliation(s)
- Naser Hosseini
- Department of Medicinal Plants, Faculty of Agriculture and Natural Resources, Arak University, Arak, 38156-8-8349, Iran.
| | - Mansour Ghorbanpour
- Department of Medicinal Plants, Faculty of Agriculture and Natural Resources, Arak University, Arak, 38156-8-8349, Iran.
| | - Hossein Mostafavi
- Department of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran
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23
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Wang X, Wang X, Li Y, Wu C, Zhao B, Peng M, Chen W, Wang C. Response of Extremely Small Populations to Climate Change-A Case of Trachycarpus nanus in Yunnan, China. BIOLOGY 2024; 13:240. [PMID: 38666852 PMCID: PMC11048604 DOI: 10.3390/biology13040240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 04/01/2024] [Accepted: 04/02/2024] [Indexed: 04/28/2024]
Abstract
Climate change affects the geographical distribution of plant species. Rare Trachycarpus nanus with a narrow distribution range, high medicinal value and extremely small population is facing increasing extinction risks under global climate change. In this study, 96 recorded occurrences and 23 environmental factors are used to predict the potential suitable area of T. nanus based on the optimized MaxEnt (3.4.4) model and ArcGIS (10.7) software. The results show that when the parameters are FC = LQ and RM = 1, the MaxEnt model is optimal and AUC = 0.946. The distribution patterns were predicted in the past, present, and four future phases, i.e., 2021-2040 (2030), 2041-2060 (2050), 2061-2080 (2070), and 2081-2100 (2090). The main factors are the annual precipitation (bio12), mean temperature of the coldest quarter (bio11), temperature seasonality (bio4), precipitation of the wettest quarter (bio16), and isothermality (bio3). The potential distribution of T. nanus is primarily concentrated in central Chuxiong, encompassing a total potential suitable area of 5.65 × 104 km2. In historical periods, the total habitat area is smaller than that in the present. In the future, the potential suitable area is generally increased. The centroid analysis shows that T. nanus will move to a high-altitude area and to the southeast. But its dispersal capacity may not keep up with the climate change rate. Therefore, additional protection sites for this species should be appropriately established and the habitat connectivity should be enhanced.
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Affiliation(s)
- Xiaofan Wang
- Institute of Ecology and Geobotany, Yunnan University, Kunming 650504, China; (X.W.); (Y.L.); (B.Z.); (M.P.)
- College of Ecology and Environment, Yunnan University, Kunming 650504, China;
- Southwest United Graduate School, Yunnan University, Kunming 650092, China; (C.W.); (W.C.)
| | - Xuhong Wang
- College of Ecology and Environment, Yunnan University, Kunming 650504, China;
| | - Yun Li
- Institute of Ecology and Geobotany, Yunnan University, Kunming 650504, China; (X.W.); (Y.L.); (B.Z.); (M.P.)
- College of Ecology and Environment, Yunnan University, Kunming 650504, China;
| | - Changhao Wu
- Southwest United Graduate School, Yunnan University, Kunming 650092, China; (C.W.); (W.C.)
| | - Biao Zhao
- Institute of Ecology and Geobotany, Yunnan University, Kunming 650504, China; (X.W.); (Y.L.); (B.Z.); (M.P.)
- College of Ecology and Environment, Yunnan University, Kunming 650504, China;
| | - Mingchun Peng
- Institute of Ecology and Geobotany, Yunnan University, Kunming 650504, China; (X.W.); (Y.L.); (B.Z.); (M.P.)
- College of Ecology and Environment, Yunnan University, Kunming 650504, China;
| | - Wen Chen
- Southwest United Graduate School, Yunnan University, Kunming 650092, China; (C.W.); (W.C.)
| | - Chongyun Wang
- Institute of Ecology and Geobotany, Yunnan University, Kunming 650504, China; (X.W.); (Y.L.); (B.Z.); (M.P.)
- College of Ecology and Environment, Yunnan University, Kunming 650504, China;
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24
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Choi Y, Yeh JY, Lee JK, Michelow IC, Park S. Risk factors associated with Coxiella burnetii in wild boars: A study in South Korea. Prev Vet Med 2024; 225:106157. [PMID: 38452603 DOI: 10.1016/j.prevetmed.2024.106157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 01/04/2024] [Accepted: 02/13/2024] [Indexed: 03/09/2024]
Abstract
Coxiella burnetii is a Gram-negative bacterium that causes the zoonotic disease Q fever. Wild boars serve as reservoirs for C. burnetii. This study aimed to identify the risk factors associated with C. burnetii infection in wild boars. We analyzed the data from 975 wild boar samples collected from June to November 2021 in South Korea. We utilized the indirect ELISA to detect antibodies against C. burnetii. A sample optical density to positive-control optical density value exceeding 50% was classified as positive. We gathered data on the forestation, terrain, weather, agriculture, and animal density of the region where the samples were collected. Continuous variables were categorized into tertiles. We performed a univariate logistic regression analysis and included variables with a p-value < 0.2 in the final multivariable logistic regression model. In our multivariable logistic regression analysis to identify risk factors for C. burnetii infection in wild boars, we used a forward selection method to enter variables based on the order of their significance. We performed the final multivariable logistic regression analyses using either continuous variables or variables categorized into tertiles. The prevalence of C. burnetii was 14.6% (n=142). Locations with the highest maximum wind speeds (3.92-8.24 m/s) showed a 59% increase in infection odds compared to locations with the lowest speeds (1.45-3.25 m/s)(p=0.044). For each 1 m/s increase in maximum wind speed, infection odds increased by 24.1% (p=0.037). Regions with the highest percentage of paddy fields per area (8.3-45%) showed a 76% increase in infection odds compared to regions with the lowest percentage (0-1.5%)(p=0.011). For each 1% increase in the proportion of paddy fields per area, infection odds increased by 3.3% (p=0.003). High maximum wind speed and a high percentage of paddy field were identified as significant risk factors for C. burnetii infection in wild boars.
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Affiliation(s)
- Yongyeon Choi
- Graduate School of Urban Public Health, University of Seoul, Seoul, Republic of Korea
| | - Jung-Yong Yeh
- Department of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, South Korea
| | - Jong Koo Lee
- Department of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, South Korea
| | - Ian C Michelow
- Department of Pediatrics, Division of Infectious Diseases and Immunology, Connecticut Children's Medical Center, Hartford, USA; Department of Pediatrics, University of Connecticut School of Medicine, Farmington, USA
| | - Sangshin Park
- Graduate School of Urban Public Health, University of Seoul, Seoul, Republic of Korea; Department of Urban Big Data Convergence, University of Seoul, Seoul, Republic of Korea; Department of Pathology and Laboratory Medicine, Brown University Medical School, Providence, USA.
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25
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Broekman MJE, Hilbers JP, Hoeks S, Huijbregts MAJ, Schipper AM, Tucker MA. Environmental drivers of global variation in home range size of terrestrial and marine mammals. J Anim Ecol 2024; 93:488-500. [PMID: 38459628 DOI: 10.1111/1365-2656.14073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 02/25/2024] [Indexed: 03/10/2024]
Abstract
As animal home range size (HRS) provides valuable information for species conservation, it is important to understand the driving factors of HRS variation. It is widely known that differences in species traits (e.g. body mass) are major contributors to variation in mammal HRS. However, most studies examining how environmental variation explains mammal HRS variation have been limited to a few species, or only included a single (mean) HRS estimate for the majority of species, neglecting intraspecific HRS variation. Additionally, most studies examining environmental drivers of HRS variation included only terrestrial species, neglecting marine species. Using a novel dataset of 2800 HRS estimates from 586 terrestrial and 27 marine mammal species, we quantified the relationships between HRS and environmental variables, accounting for species traits. Our results indicate that terrestrial mammal HRS was on average 5.3 times larger in areas with low human disturbance (human footprint index [HFI] = 0), compared to areas with maximum human disturbance (HFI = 50). Similarly, HRS was on average 5.4 times larger in areas with low annual mean productivity (NDVI = 0), compared to areas with high productivity (NDVI = 1). In addition, HRS increased by a factor of 1.9 on average from low to high seasonality in productivity (standard deviation (SD) of monthly NDVI from 0 to 0.36). Of these environmental variables, human disturbance and annual mean productivity explained a larger proportion of HRS variance than seasonality in productivity. Marine mammal HRS decreased, on average, by a factor of 3.7 per 10°C decline in annual mean sea surface temperature (SST), and increased by a factor of 1.5 per 1°C increase in SST seasonality (SD of monthly values). Annual mean SST explained more variance in HRS than SST seasonality. Due to the small sample size, caution should be taken when interpreting the marine mammal results. Our results indicate that environmental variation is relevant for HRS and that future environmental changes might alter the HRS of individuals, with potential consequences for ecosystem functioning and the effectiveness of conservation actions.
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Affiliation(s)
- Maarten J E Broekman
- Department of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Nijmegen, The Netherlands
| | - Jelle P Hilbers
- Department of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Nijmegen, The Netherlands
| | - Selwyn Hoeks
- Department of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Nijmegen, The Netherlands
| | - Mark A J Huijbregts
- Department of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Nijmegen, The Netherlands
| | - Aafke M Schipper
- Department of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Nijmegen, The Netherlands
- PBL Netherlands Environmental Assessment Agency, The Hague, The Netherlands
| | - Marlee A Tucker
- Department of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Nijmegen, The Netherlands
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Pacheco C, Rio-Maior H, Nakamura M, Álvares F, Godinho R. Relatedness-based mate choice and female philopatry: inbreeding trends of wolf packs in a human-dominated landscape. Heredity (Edinb) 2024; 132:211-220. [PMID: 38472424 PMCID: PMC10997798 DOI: 10.1038/s41437-024-00676-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/14/2024] [Accepted: 02/14/2024] [Indexed: 03/14/2024] Open
Abstract
Inbreeding can reduce offspring fitness and has substantial implications for the genetic diversity and long-term viability of populations. In social cooperative canids, inbreeding is conditioned by the geographic proximity between opposite-sex kin outside natal groups and the presence of related individuals in neighbouring groups. Consequently, challenges in moving into other regions where the species is present can also affect inbreeding rates. These can be particularly problematic in areas of high human density, where movement can be restricted, even for highly vagile species. In this study, we investigate the socio-ecological dynamics of Iberian wolf packs in the human-dominated landscape of Alto Minho, in northwest Portugal, where wolves exhibit a high prevalence of short-distance dispersal and limited gene flow with neighbouring regions. We hypothesise that mating occurs regardless of relatedness, resulting in recurrent inbreeding due to high kin encounter rates. Using data from a 10-year non-invasive genetic monitoring programme and a combination of relatedness estimates and genealogical reconstructions, we describe genetic diversity, mate choice, and dispersal strategies among Alto Minho packs. In contrast with expectations, our findings reveal relatedness-based mate choice, low kin encounter rates, and a reduced number of inbreeding events. We observed a high prevalence of philopatry, particularly among female breeders, with the most common breeding strategy involving the pairing of a philopatric female with an unrelated immigrant male. Overall, wolves were not inbred, and temporal changes in genetic diversity were not significant. Our findings are discussed, considering the demographic trend of wolves in Alto Minho and its human-dominated landscape.
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Affiliation(s)
- Carolina Pacheco
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.
- Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal.
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal.
| | - Helena Rio-Maior
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
| | - Mónia Nakamura
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
| | - Francisco Álvares
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
| | - Raquel Godinho
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.
- Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal.
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal.
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Plowright RK, Ahmed AN, Coulson T, Crowther TW, Ejotre I, Faust CL, Frick WF, Hudson PJ, Kingston T, Nameer PO, O'Mara MT, Peel AJ, Possingham H, Razgour O, Reeder DM, Ruiz-Aravena M, Simmons NB, Srinivas PN, Tabor GM, Tanshi I, Thompson IG, Vanak AT, Vora NM, Willison CE, Keeley ATH. Ecological countermeasures to prevent pathogen spillover and subsequent pandemics. Nat Commun 2024; 15:2577. [PMID: 38531842 DOI: 10.1038/s41467-024-46151-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 02/16/2024] [Indexed: 03/28/2024] Open
Abstract
Substantial global attention is focused on how to reduce the risk of future pandemics. Reducing this risk requires investment in prevention, preparedness, and response. Although preparedness and response have received significant focus, prevention, especially the prevention of zoonotic spillover, remains largely absent from global conversations. This oversight is due in part to the lack of a clear definition of prevention and lack of guidance on how to achieve it. To address this gap, we elucidate the mechanisms linking environmental change and zoonotic spillover using spillover of viruses from bats as a case study. We identify ecological interventions that can disrupt these spillover mechanisms and propose policy frameworks for their implementation. Recognizing that pandemics originate in ecological systems, we advocate for integrating ecological approaches alongside biomedical approaches in a comprehensive and balanced pandemic prevention strategy.
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Affiliation(s)
- Raina K Plowright
- Department of Public and Ecosystem Health, Cornell University, Ithaca, NY, 14853, USA.
| | - Aliyu N Ahmed
- Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Tim Coulson
- Department of Biology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Thomas W Crowther
- Department of Environmental Systems Science, ETH Zürich, Zürich, 8092, Switzerland
| | - Imran Ejotre
- Department of Biology, Muni University, P.O. Box 725, Arua, Uganda
| | - Christina L Faust
- School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Winifred F Frick
- Bat Conservation International, Austin, TX, 78746, USA
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, 95064, USA
| | - Peter J Hudson
- Centre for Infectious Disease Dynamics, Pennsylvania State University, State College, PA, 16801, USA
| | - Tigga Kingston
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, 79409-3131, USA
| | - P O Nameer
- College of Climate Change and Environmental Science, Kerala Agricultural University, Kerala, 680 656, India
| | | | - Alison J Peel
- Centre for Planetary Health and Food Security, Griffith University, Nathan, QLD, 4111, Australia
| | - Hugh Possingham
- School of Biological Sciences, University of Queensland, Brisbane, QLD, 4072, Australia
| | - Orly Razgour
- Biosciences, University of Exeter, Exeter, EX4 4PS, UK
| | - DeeAnn M Reeder
- Department of Biology, Bucknell University, Lewisburg, PA, 17937, USA
| | - Manuel Ruiz-Aravena
- Department of Public and Ecosystem Health, Cornell University, Ithaca, NY, 14853, USA
- Centre for Planetary Health and Food Security, Griffith University, Nathan, QLD, 4111, Australia
- Department of Wildlife, Fisheries and Aquaculture, Mississippi State University, Starkville, USA
| | - Nancy B Simmons
- Department of Mammalogy, Division of Vertebrate Zoology, American Museum of Natural History, New York City, NY, 10024, USA
| | | | - Gary M Tabor
- Center for Large Landscape Conservation, Bozeman, MT, 59771, USA
| | - Iroro Tanshi
- Department of Biology, University of Washington, Seattle, WA, 98195, USA
- Small Mammal Conservation Organization, Benin City, 300251, Nigeria
- Department of Animal and Environmental Biology, University of Benin, Benin City, 300000, Nigeria
| | | | - Abi T Vanak
- Centre for Policy Design, Ashoka Trust for Research in Ecology and the Environment, Bengaluru, Karnataka, 560064, India
- School of Life Sciences, University of KwaZulu-Natal, Durban, 4041, South Africa
| | - Neil M Vora
- Conservation International, Arlington, VA, 22202, USA
| | - Charley E Willison
- Department of Public and Ecosystem Health, Cornell University, Ithaca, NY, 14853, USA
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Renoirt M, Angelier F, Cheron M, Jabaud L, Tartu S, Brischoux F. Population declines of a widespread amphibian in agricultural landscapes. THE SCIENCE OF NATURE - NATURWISSENSCHAFTEN 2024; 111:17. [PMID: 38498200 DOI: 10.1007/s00114-024-01905-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/29/2024] [Accepted: 03/08/2024] [Indexed: 03/20/2024]
Abstract
Modern agricultural practices are suspected to play a major role in the ongoing erosion of biodiversity. In order to assess whether this biodiversity loss is linked to past habitat modifications (e.g. land consolidation) or to current consequences of modern agriculture (e.g. use of agrochemicals), it remains essential to monitor species that have persisted in agricultural landscapes to date. In this study, we assessed the presence, abundance and recent population trends of one such species, the spined toad (Bufo spinosus) along a gradient of habitats from preserved (forests) to highly agricultural sites in rural Western France. Our results showed that both presence and abundance of spined toads were markedly lower in reproductive ponds surrounded by intensive agriculture. The most salient result of our study is the ongoing decline of this species in farmland habitats. Indeed, this result suggests that unknown factors are currently affecting a widespread terrestrial amphibian previously thought to persist in agricultural landscapes. These factors have recently induced strong population declines over the course of a few years. Future investigations are required to identify these factors at a time when anthropogenic activities are currently leading to unprecedented rates of biodiversity loss.
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Affiliation(s)
- Matthias Renoirt
- Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS-La Rochelle Université, 79360, Villiers en Bois, France
| | - Frédéric Angelier
- Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS-La Rochelle Université, 79360, Villiers en Bois, France
| | - Marion Cheron
- Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS-La Rochelle Université, 79360, Villiers en Bois, France
| | - Laure Jabaud
- Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS-La Rochelle Université, 79360, Villiers en Bois, France
| | - Sabrina Tartu
- Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS-La Rochelle Université, 79360, Villiers en Bois, France
| | - François Brischoux
- Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS-La Rochelle Université, 79360, Villiers en Bois, France.
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Adams MS, Levi T, Bourbonnais M, Service CN, Artelle K, Bryan H, Paquet P, Nelson T, Darimont CT. Human disturbance in riparian areas disrupts predator-prey interactions between grizzly bears and salmon. Ecol Evol 2024; 14:e11058. [PMID: 38505181 PMCID: PMC10950355 DOI: 10.1002/ece3.11058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/01/2024] [Accepted: 02/06/2024] [Indexed: 03/21/2024] Open
Abstract
Wildlife must increasingly balance trade-offs between the need to access important foods and the mortality risks associated with human-dominated landscapes. Human disturbance can profoundly influence wildlife behavior, but managers know little about the relationship between disturbance-behavior dynamics and associated consequences for foraging. We address this gap by empirically investigating the consequences of human activity on a keystone predator-prey interaction in a region with limited but varied industrial disturbance. Using stable isotope data from 226 hair samples of grizzly bears (Ursus arctos horribilis) collected from 1995 to 2014 across 22 salmon-bearing watersheds (88,000 km2) in British Columbia, Canada, we examined how human activity influenced their consumption of spawning salmon (Oncorhynchus spp.), a fitness-related food. Accounting for the abundance of salmon and other foods, salmon consumption strongly decreased (up to 59% for females) with increasing human disturbance (as measured by the human footprint index) in riparian zones of salmon-bearing rivers. Declines in salmon consumption occurred with disturbance even in watersheds with low footprints. In a region currently among the least influenced by industrial activity, intensification of disturbance in river valleys is predicted to increasingly decouple bears from salmon, possibly driving associated reductions in population productivity and provisioning of salmon nutrients to terrestrial ecosystems. Accordingly, we draw on our results to make landscape-scale and access-related management recommendations beyond current streamside protection buffers. This work illustrates the interaction between habitat modification and food security for wildlife, highlighting the potential for unacknowledged interactions and cumulative effects in increasingly modified landscapes.
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Affiliation(s)
- Megan S. Adams
- Department of GeographyUniversity of VictoriaVictoriaBritish ColumbiaCanada
- Raincoast Conservation FoundationSidneyBritish ColumbiaCanada
- Hakai InstituteCampbell RiverBritish ColumbiaCanada
- Central Coast Indigenous Resource AllianceCampbell RiverBritish ColumbiaCanada
| | - Taal Levi
- Department of Fisheries and WildlifeOregon State UniversityCorvallisOregonUSA
| | - Mathieu Bourbonnais
- Department of Earth, Environmental and Geographic SciencesUniversity of British Columbia OkanaganKelownaBritish ColumbiaCanada
| | - Christina N. Service
- Department of GeographyUniversity of VictoriaVictoriaBritish ColumbiaCanada
- Kitasoo Xai'xais Stewardship Authority, Kitasoo Xai'xais First NationKlemtuBritish ColumbiaCanada
- School of Environmental StudiesUniversity of VictoriaVictoriaBritish ColumbiaCanada
| | - Kyle Artelle
- Department of GeographyUniversity of VictoriaVictoriaBritish ColumbiaCanada
- Raincoast Conservation FoundationSidneyBritish ColumbiaCanada
- Department of Earth, Environmental and Geographic SciencesUniversity of British Columbia OkanaganKelownaBritish ColumbiaCanada
- Department of Environmental Biology, and Center for Native Peoples and the EnvironmentState University of New York, College of Environmental Science and ForestrySyracuseNew YorkUSA
| | - Heather Bryan
- Department of GeographyUniversity of VictoriaVictoriaBritish ColumbiaCanada
- Raincoast Conservation FoundationSidneyBritish ColumbiaCanada
- Hakai InstituteCampbell RiverBritish ColumbiaCanada
- Department of Ecosystem Science and ManagementUniversity of Northern British ColumbiaPrince GeorgeBritish ColumbiaCanada
| | - Paul Paquet
- Department of GeographyUniversity of VictoriaVictoriaBritish ColumbiaCanada
- Raincoast Conservation FoundationSidneyBritish ColumbiaCanada
| | - Trisalyn Nelson
- Department of GeographyUniversity of California Santa BarbaraSanta BarbaraCaliforniaUSA
| | - Chris T. Darimont
- Department of GeographyUniversity of VictoriaVictoriaBritish ColumbiaCanada
- Raincoast Conservation FoundationSidneyBritish ColumbiaCanada
- Hakai InstituteCampbell RiverBritish ColumbiaCanada
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Li Y, Jin Q, Chen Z, Yin B, Li Y, Liu J. Pathways for achieving conservation targets under metacoupled anthropogenic disturbances. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 353:120227. [PMID: 38310798 DOI: 10.1016/j.jenvman.2024.120227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/09/2024] [Accepted: 01/24/2024] [Indexed: 02/06/2024]
Abstract
Enhancing connectivity between protected areas stands as a paramount objective in advancing global conservation goals, particularly in coastal regions grappling with escalating human disruptions. However, little attention has been given to quantitative assessment of human-nature interactions within and among protected areas. Here, we endeavored to model the connectivity between protected areas in rapidly urbanizing regions in China, drawing on insights from the framework of metacoupling based on connected corridors at short and long distances. In alignment with the overarching global conservation aim of increasing the overall coverage of protected areas, we found that adding new site to the protected area system yields superior connectivity gains compared to merely expanding the boundaries of the existing sites. Within the connectivity network between protected areas, we discerned specific sites acting as stepping stones, pivotal in enhancing connectivity among the chosen protected areas. Our study propounds a pragmatic methodology for prioritizing local protection initiatives and underscores the criticality of incorporating connectivity conservation strategies. This approach is vital for attaining regional biodiversity targets, given the dual perspective encompassing both human activities and the natural environment, particularly in the face of mounting anthropogenic disturbances.
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Affiliation(s)
- Yi Li
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Key Laboratory of Coastal and Wetland Ecosystems (Ministry of Education), College of the Environment and Ecology, Xiamen University, Xiamen, China.
| | - Qihao Jin
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Key Laboratory of Coastal and Wetland Ecosystems (Ministry of Education), College of the Environment and Ecology, Xiamen University, Xiamen, China.
| | - Zhixue Chen
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Key Laboratory of Coastal and Wetland Ecosystems (Ministry of Education), College of the Environment and Ecology, Xiamen University, Xiamen, China.
| | - Bingchao Yin
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Key Laboratory of Coastal and Wetland Ecosystems (Ministry of Education), College of the Environment and Ecology, Xiamen University, Xiamen, China.
| | - Yangfan Li
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Key Laboratory of Coastal and Wetland Ecosystems (Ministry of Education), College of the Environment and Ecology, Xiamen University, Xiamen, China.
| | - Jianguo Liu
- Department of Fisheries and Wildlife, Center for Systems Integration and Sustainability, Michigan State University, East Lansing, MI, USA.
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31
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Gerber BD, Devarajan K, Farris ZJ, Fidino M. A model-based hypothesis framework to define and estimate the diel niche via the 'Diel.Niche' R package. J Anim Ecol 2024; 93:132-146. [PMID: 38213300 DOI: 10.1111/1365-2656.14035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 11/21/2023] [Indexed: 01/13/2024]
Abstract
How animals use the diel period (24-h light-dark cycle) is of fundamental importance to understand their niche. While ecological and evolutionary literature abound with discussion of diel phenotypes (e.g. diurnal, nocturnal, crepuscular, cathemeral), they lack clear and explicit quantitative definitions. As such, inference can be confounded when evaluating hypotheses of animal diel niche switching or plasticity across studies because researchers may be operating under different definitions of diel phenotypes. We propose quantitative definitions of diel phenotypes using four alternative hypothesis sets (maximizing, traditional, general and selection) aimed at achieving different objectives. Each hypothesis set is composed of mutually exclusive hypotheses defined based on the activity probabilities in the three fundamental periods of light availability (twilight, daytime and night-time). We develop a Bayesian modelling framework that compares diel phenotype hypotheses using Bayes factors and estimates model parameters using a multinomial model with linear inequality constraints. Model comparison, parameter estimation and visualizing results can be done in the Diel.Niche R package. A simplified R Shiny web application is also available. We provide extensive simulation results to guide researchers on the power to discriminate among hypotheses for a range of sample sizes (10-1280). We also work through several examples of using data to make inferences on diel activity, and include online vignettes on how to use the Diel.Niche package. We demonstrate how our modelling framework complements other analyses, such as circular kernel density estimators and animal movement modelling. Our aim is to encourage standardization of the language of diel activity and bridge conceptual frameworks and hypotheses in diel research with data and models. Lastly, we hope more research focuses on the ecological and conservation importance of understanding how animals use diel time.
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Affiliation(s)
- Brian D Gerber
- Department of Natural Resources Science, University of Rhode Island, Kingston, Rhode Island, USA
| | - Kadambari Devarajan
- Department of Natural Resources Science, University of Rhode Island, Kingston, Rhode Island, USA
| | - Zach J Farris
- Department of Public Health and Exercise Science, Appalachian State University, Boone, North Carolina, USA
| | - Mason Fidino
- Conservation & Science Department, Lincoln Park Zoo, Chicago, Illinois, USA
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Bartel SL, Stephenson T, Crowder DW, Jones ME, Storfer A, Strickland MS, Lynch L. Global change influences scavenging and carrion decomposition. Trends Ecol Evol 2024; 39:152-164. [PMID: 37816662 DOI: 10.1016/j.tree.2023.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 09/06/2023] [Accepted: 09/11/2023] [Indexed: 10/12/2023]
Abstract
Carrion decomposition is fundamental to nutrient cycling in terrestrial ecosystems because it provides a high-quality resource to diverse organisms. A conceptual framework incorporating all phases of carrion decomposition with the full community of scavengers is needed to predict the effects of global change on core ecosystem processes. Because global change can differentially impact scavenger guilds and rates of carrion decomposition, our framework explicitly incorporates complex interactions among microbial, invertebrate, and vertebrate scavenger communities across three distinct phases of carcass decomposition. We hypothesize that carrion decomposition rates will be the most impacted when global change affects carcass discovery rates and the foraging behavior of competing scavenger guilds.
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Affiliation(s)
- Savannah L Bartel
- Department of Entomology, Washington State University, 166 FSHN, 100 Dairy Road, Pullman, WA 99164, USA; School of Biological Sciences, Washington State University, 301 Abelson Hall, Pullman, WA 99164, USA.
| | - Torrey Stephenson
- Department of Soil and Water Systems, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA
| | - David W Crowder
- Department of Entomology, Washington State University, 166 FSHN, 100 Dairy Road, Pullman, WA 99164, USA
| | - Menna E Jones
- School of Natural Sciences, University of Tasmania, Life Sciences Building, Hobart, TAS 7001, Australia
| | - Andrew Storfer
- School of Biological Sciences, Washington State University, 301 Abelson Hall, Pullman, WA 99164, USA
| | - Michael S Strickland
- Department of Soil and Water Systems, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA
| | - Laurel Lynch
- Department of Soil and Water Systems, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA
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Carroll SL, Schmidt GM, Waller JS, Graves TA. Evaluating density-weighted connectivity of black bears (Ursus americanus) in Glacier National Park with spatial capture-recapture models. MOVEMENT ECOLOGY 2024; 12:8. [PMID: 38263096 PMCID: PMC11334611 DOI: 10.1186/s40462-023-00445-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 12/19/2023] [Indexed: 01/25/2024]
Abstract
BACKGROUND Improved understanding of wildlife population connectivity among protected area networks can support effective planning for the persistence of wildlife populations in the face of land use and climate change. Common approaches to estimating connectivity often rely on small samples of individuals without considering the spatial structure of populations, leading to limited understanding of how individual movement links to demography and population connectivity. Recently developed spatial capture-recapture (SCR) models provide a framework to formally connect inference about individual movement, connectivity, and population density, but few studies have applied this approach to empirical data to support connectivity planning. METHODS We used mark-recapture data collected from 924 genetic detections of 598 American black bears (Ursus americanus) in 2004 with SCR ecological distance models to simultaneously estimate density, landscape resistance to movement, and population connectivity in Glacier National Park northwest Montana, USA. We estimated density and movement parameters separately for males and females and used model estimates to calculate predicted density-weighted connectivity surfaces. RESULTS Model results indicated that landscape structure influences black bear density and space use in Glacier. The mean density estimate was 16.08 bears/100 km2 (95% CI 12.52-20.6) for females and 9.27 bears/100 km2 (95% CI 7.70-11.14) for males. Density increased with forest cover for both sexes. For male black bears, density decreased at higher grizzly bear (Ursus arctos) densities. Drainages, valley bottoms, and riparian vegetation decreased estimates of landscape resistance to movement for male and female bears. For males, forest cover also decreased estimated resistance to movement, but a transportation corridor bisecting the study area strongly increased resistance to movement presenting a barrier to connectivity. CONCLUSIONS Density-weighed connectivity surfaces highlighted areas important for population connectivity that were distinct from areas with high potential connectivity. For black bears in Glacier and surrounding landscapes, consideration of both vegetation and valley topography could inform the placement of underpasses along the transportation corridor in areas characterized by both high population density and potential connectivity. Our study demonstrates that the SCR ecological distance model can provide biologically realistic, spatially explicit predictions to support movement connectivity planning across large landscapes.
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Affiliation(s)
- Sarah L Carroll
- Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, 80523, USA.
| | - Greta M Schmidt
- Department of Biology, San Diego State University, San Diego, CA, 92182, USA
| | - John S Waller
- Glacier National Park, P.O. Box 128, West Glacier, MT, 59936, USA
| | - Tabitha A Graves
- U.S. Geological Survey, Northern Rocky Mountain Science Center, PO Box 169, West Glacier, MT, 59936, USA
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Cowan MA, Dunlop JA, Gibson LA, Moore HA, Setterfield SA, Nimmo DG. Movement ecology of an endangered mesopredator in a mining landscape. MOVEMENT ECOLOGY 2024; 12:5. [PMID: 38233871 PMCID: PMC10795371 DOI: 10.1186/s40462-023-00439-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 12/09/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND Efficient movement and energy expenditure are vital for animal survival. Human disturbance can alter animal movement due to changes in resource availability and threats. Some animals can exploit anthropogenic disturbances for more efficient movement, while others face restricted or inefficient movement due to fragmentation of high-resource habitats, and risks associated with disturbed habitats. Mining, a major anthropogenic disturbance, removes natural habitats, introduces new landscape features, and alters resource distribution in the landscape. This study investigates the effect of mining on the movement of an endangered mesopredator, the northern quoll (Dasyurus hallucatus). Using GPS collars and accelerometers, we investigate their habitat selection and energy expenditure in an active mining landscape, to determine the effects of this disturbance on northern quolls. METHODS We fit northern quolls with GPS collars and accelerometers during breeding and non-breeding season at an active mine site in the Pilbara region of Western Australia. We investigated broad-scale movement by calculating the movement ranges of quolls using utilisation distributions at the 95% isopleth, and compared habitat types and environmental characteristics within observed movement ranges to the available landscape. We investigated fine-scale movement by quolls with integrated step selection functions, assessing the relative selection strength for each habitat covariate. Finally, we used piecewise structural equation modelling to analyse the influence of each habitat covariate on northern quoll energy expenditure. RESULTS At the broad scale, northern quolls predominantly used rugged, rocky habitats, and used mining habitats in proportion to their availability. However, at the fine scale, habitat use varied between breeding and non-breeding seasons. During the breeding season, quolls notably avoided mining habitats, whereas in the non-breeding season, they frequented mining habitats equally to rocky and riparian habitats, albeit at a higher energetic cost. CONCLUSION Mining impacts northern quolls by fragmenting favoured rocky habitats, increasing energy expenditure, and potentially impacting breeding dispersal. While mining habitats might offer limited resource opportunities in the non-breeding season, conservation efforts during active mining, including the creation of movement corridors and progressive habitat restoration would likely be useful. However, prioritising the preservation of natural rocky and riparian habitats in mining landscapes is vital for northern quoll conservation.
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Affiliation(s)
- M A Cowan
- Gulbali Institute, School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, 386 Elizabeth Mitchell Drive, Thurgoona, NSW, 2640, Australia.
- School of Agriculture and Environment, The University of Western Australia, Crawley, WA, 6009, Australia.
| | - J A Dunlop
- Gulbali Institute, School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, 386 Elizabeth Mitchell Drive, Thurgoona, NSW, 2640, Australia
- School of Agriculture and Environment, The University of Western Australia, Crawley, WA, 6009, Australia
| | - L A Gibson
- Department of Biodiversity, Conservation and Attractions, 17 Dick Perry Avenue, Kensington, WA, 6151, Australia
| | - H A Moore
- School of Agriculture and Environment, The University of Western Australia, Crawley, WA, 6009, Australia
- Department of Biodiversity, Conservation and Attractions, 17 Dick Perry Avenue, Kensington, WA, 6151, Australia
| | - S A Setterfield
- School of Agriculture and Environment, The University of Western Australia, Crawley, WA, 6009, Australia
| | - D G Nimmo
- Gulbali Institute, School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, 386 Elizabeth Mitchell Drive, Thurgoona, NSW, 2640, Australia
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Anderwald P, Buchmann S, Rempfler T, Filli F. Weather-dependent changes in habitat use by Alpine chamois. MOVEMENT ECOLOGY 2024; 12:3. [PMID: 38229138 DOI: 10.1186/s40462-024-00449-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 01/08/2024] [Indexed: 01/18/2024]
Abstract
BACKGROUND Alterations in weather patterns due to climate change are accelerated in alpine environments, but mountains also provide a wide range of niches and potential refuge areas. In order to identify future critical habitat for mountain ungulates for effective protection, it is important to understand their spatial responses to changing weather conditions without movement constraints by human disturbance. METHODS Using integrated step selection functions, we investigated fine-scale changes in seasonal habitat use in response to weather and time of day for 55 GPS-collared adult Alpine chamois in summer and 42 individuals in winter in a strictly protected area. RESULTS Chamois reacted to increasing precipitation and wind speeds primarily by moving to lower elevations in summer and winter. However, reactions to high summer temperatures predominantly involved preferences for increasing tree cover density and northerly slopes. Snow depth had little effect on habitat choice, and southerly slopes were preferred in winter regardless of temperature. At night, chamois moved to steeper slopes and lower elevations than during daytime in both seasons, and to more open areas in summer. Steeper slopes were also preferred with increasing tree cover density. CONCLUSIONS Chamois employ adaptive fine-scale adjustments in their habitat choice consistent with respect to efficient thermoregulation and protection from both weather extremes and predation risk in summer and winter. Movement responses to climate change are therefore expected to be far more complex than simple altitudinal changes in distribution. Particularly the role of forest cover must not be underestimated, as it appears to provide important thermal refuge habitat from high summer temperatures.
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Affiliation(s)
- Pia Anderwald
- Swiss National Park, Chastè Planta-Wildenberg, Runatsch 124, 7530, Zernez, Switzerland.
| | - Sven Buchmann
- Swiss National Park, Chastè Planta-Wildenberg, Runatsch 124, 7530, Zernez, Switzerland
| | - Thomas Rempfler
- Swiss National Park, Chastè Planta-Wildenberg, Runatsch 124, 7530, Zernez, Switzerland
| | - Flurin Filli
- Swiss National Park, Chastè Planta-Wildenberg, Runatsch 124, 7530, Zernez, Switzerland
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Thompson PR, Harrington PD, Mallory CD, Lele SR, Bayne EM, Derocher AE, Edwards MA, Campbell M, Lewis MA. Simultaneous estimation of the temporal and spatial extent of animal migration using step lengths and turning angles. MOVEMENT ECOLOGY 2024; 12:1. [PMID: 38191509 PMCID: PMC10775566 DOI: 10.1186/s40462-023-00444-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 12/19/2023] [Indexed: 01/10/2024]
Abstract
BACKGROUND Animals of many different species, trophic levels, and life history strategies migrate, and the improvement of animal tracking technology allows ecologists to collect increasing amounts of detailed data on these movements. Understanding when animals migrate is important for managing their populations, but is still difficult despite modelling advancements. METHODS We designed a model that parametrically estimates the timing of migration from animal tracking data. Our model identifies the beginning and end of migratory movements as signaled by change-points in step length and turning angle distributions. To this end, we can also use the model to estimate how an animal's movement changes when it begins migrating. In addition to a thorough simulation analysis, we tested our model on three datasets: migratory ferruginous hawks (Buteo regalis) in the Great Plains, barren-ground caribou (Rangifer tarandus groenlandicus) in northern Canada, and non-migratory brown bears (Ursus arctos) from the Canadian Arctic. RESULTS Our simulation analysis suggests that our model is most useful for datasets where an increase in movement speed or directional autocorrelation is clearly detectable. We estimated the beginning and end of migration in caribou and hawks to the nearest day, while confirming a lack of migratory behaviour in the brown bears. In addition to estimating when caribou and ferruginous hawks migrated, our model also identified differences in how they migrated; ferruginous hawks achieved efficient migrations by drastically increasing their movement rates while caribou migration was achieved through significant increases in directional persistence. CONCLUSIONS Our approach is applicable to many animal movement studies and includes parameters that can facilitate comparison between different species or datasets. We hope that rigorous assessment of migration metrics will aid understanding of both how and why animals move.
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Affiliation(s)
- Peter R Thompson
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
| | - Peter D Harrington
- Department of Mathematics, University of British Columbia, Vancouver, BC, Canada
- Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada
| | | | - Subhash R Lele
- Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada
| | - Erin M Bayne
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Andrew E Derocher
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Mark A Edwards
- Office of the Chief Scientist, Environment and Protected Areas, Government of Alberta, Edmonton, AB, Canada
- Department of Renewable Resources, University of Alberta, Edmonton, AB, Canada
| | | | - Mark A Lewis
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
- Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada
- Department of Biology, University of Victoria, Victoria, BC, Canada
- Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada
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37
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Williams S, Hebblewhite M, Martin H, Meyer C, Whittington J, Killeen J, Berg J, MacAulay K, Smolko P, Merrill EH. Predation risk drives long-term shifts in migratory behaviour and demography in a large herbivore population. J Anim Ecol 2024; 93:21-35. [PMID: 37982331 DOI: 10.1111/1365-2656.14022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 09/27/2023] [Indexed: 11/21/2023]
Abstract
Migration is an adaptive life-history strategy across taxa that helps individuals maximise fitness by obtaining forage and avoiding predation risk. The mechanisms driving migratory changes are poorly understood, and links between migratory behaviour, space use, and demographic consequences are rare. Here, we use a nearly 20-year record of individual-based monitoring of a large herbivore, elk (Cervus canadensis) to test hypotheses for changing patterns of migration in and adjacent to a large protected area in Banff National Park (BNP), Canada. We test whether bottom-up (forage quality) or top-down (predation risk) factors explained trends in (i) the proportion of individuals using 5 different migratory tactics, (ii) differences in survival rates of migratory tactics during migration and whilst on summer ranges, (iii) cause-specific mortality by wolves and grizzly bears, and (iv) population abundance. We found dramatic shifts in migration consistent with behavioural plasticity in individual choice of annual migratory routes. Shifts were inconsistent with exposure to the bottom-up benefits of migration. Instead, exposure to landscape gradients in predation risk caused by exploitation outside the protected area drove migratory shifts. Carnivore exploitation outside the protected area led to higher survival rates for female elk remaining resident or migrating outside the protected area. Cause-specific mortality aligned with exposure to predation risk along migratory routes and summer ranges. Wolf predation risk was higher on migratory routes than summer ranges of montane-migrant tactics, but wolf predation risk traded-off with heightened risk from grizzly bears on summer ranges. A novel eastern migrant tactic emerged following a large forest fire that enhanced forage in an area with lower predation risk outside of the protected area. The changes in migratory behaviour translated to population abundance, where abundance of the montane-migratory tactics declined over time. The presence of diverse migratory life histories maintained a higher total population abundance than would have been the case with only one migratory tactic in the population. Our study demonstrates the complex ways in which migratory populations change over time through behavioural plasticity and associated demographic consequences because of individuals balancing predation risk and forage trade-offs.
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Affiliation(s)
- S Williams
- Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, Franke College of Forestry and Conservation, University of Montana, Missoula, Montana, USA
| | - M Hebblewhite
- Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, Franke College of Forestry and Conservation, University of Montana, Missoula, Montana, USA
| | - H Martin
- Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, Franke College of Forestry and Conservation, University of Montana, Missoula, Montana, USA
| | - C Meyer
- Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, Franke College of Forestry and Conservation, University of Montana, Missoula, Montana, USA
| | - J Whittington
- Banff National Park, Parks Canada, Banff, Alberta, Canada
| | - J Killeen
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - J Berg
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - K MacAulay
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - P Smolko
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
- Department of Applied Zoology and Wildlife Management, Technical University in Zvolen, Zvolen, Slovakia
| | - E H Merrill
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
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38
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Beck KB, Farine DR, Firth JA, Sheldon BC. Variation in local population size predicts social network structure in wild songbirds. J Anim Ecol 2023; 92:2348-2362. [PMID: 37837224 PMCID: PMC10952437 DOI: 10.1111/1365-2656.14015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/19/2023] [Indexed: 10/15/2023]
Abstract
The structure of animal societies is a key determinant of many ecological and evolutionary processes. Yet, we know relatively little about the factors and mechanisms that underpin detailed social structure. Among other factors, social structure can be influenced by habitat configuration. By shaping animal movement decisions, heterogeneity in habitat features, such as vegetation and the availability of resources, can influence the spatiotemporal distribution of individuals and subsequently key socioecological properties such as the local population size and density. Differences in local population size and density can impact opportunities for social associations and may thus drive substantial variation in local social structure. Here, we investigated spatiotemporal variation in population size at 65 distinct locations in a small songbird, the great tit (Parus major) and its effect on social network structure. We first explored the within-location consistency of population size from weekly samples and whether the observed variation in local population size was predicted by the underlying habitat configuration. Next, we created social networks from the birds' foraging associations at each location for each week and examined if local population size affected social structure. We show that population size is highly repeatable within locations across weeks and years and that some of the observed variation in local population size was predicted by the underlying habitat, with locations closer to the forest edge having on average larger population sizes. Furthermore, we show that local population size affected social structure inferred by four global network metrics. Using simple simulations, we then reveal that much of the observed social structure is shaped by social processes. Across different population sizes, the birds' social structure was largely explained by their preference to forage in flocks. In addition, over and above effects of social foraging, social preferences between birds (i.e. social relationships) shaped certain network features such as the extent of realized social connections. Our findings thus suggest that individual social decisions substantially contribute to shaping certain social network features over and above effects of population size alone.
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Affiliation(s)
- Kristina B. Beck
- Department of Biology, Edward Grey InstituteUniversity of OxfordOxfordUK
| | - Damien R. Farine
- Department of Evolutionary Biology and Environmental StudiesUniversity of ZurichZurichSwitzerland
- Division of Ecology and Evolution, Research School of BiologyAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
- Department of Collective BehaviourMax Planck Institute of Animal BehaviourKonstanzGermany
| | - Josh A. Firth
- Department of Biology, Edward Grey InstituteUniversity of OxfordOxfordUK
| | - Ben C. Sheldon
- Department of Biology, Edward Grey InstituteUniversity of OxfordOxfordUK
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Zanette LY, Frizzelle NR, Clinchy M, Peel MJS, Keller CB, Huebner SE, Packer C. Fear of the human "super predator" pervades the South African savanna. Curr Biol 2023; 33:4689-4696.e4. [PMID: 37802052 DOI: 10.1016/j.cub.2023.08.089] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/21/2023] [Accepted: 08/30/2023] [Indexed: 10/08/2023]
Abstract
Lions have long been perceived as Africa's, if not the world's, most fearsome terrestrial predator,1,2,3,4,5,6,7,8,9 the "king of beasts". Wildlife's fear of humans may, however, be far more powerful and all-prevailing1,10 as recent global surveys show that humans kill prey at much higher rates than other predators,10,11,12 due partly to technologies such as hunting with dogs or guns.11,13,14,15 We comprehensively experimentally tested whether wildlife's fear of humans exceeds even that of lions, by quantifying fear responses1 in the majority of carnivore and ungulate species (n = 19) inhabiting South Africa`s Greater Kruger National Park (GKNP),9,15,16,17 using automated camera-speaker systems9,18 at waterholes during the dry season that broadcast playbacks of humans, lions, hunting sounds (dogs, gunshots) or non-predator controls (birds).9,19,20,21,22 Fear of humans significantly exceeded that of lions throughout the savanna mammal community. As a whole (n = 4,238 independent trials), wildlife were twice as likely to run (p < 0.001) and abandoned waterholes in 40% faster time (p < 0.001) in response to humans than to lions (or hunting sounds). Fully 95% of species ran more from humans than lions (significantly in giraffes, leopards, hyenas, zebras, kudu, warthog, and impala) or abandoned waterholes faster (significantly in rhinoceroses and elephants). Our results greatly strengthen the growing experimental evidence that wildlife worldwide fear the human "super predator" far more than other predators,1,19,20,21,22,23,24,25,26,27,28 and the very substantial fear of humans demonstrated can be expected to cause considerable ecological impacts,1,6,22,23,24,29,30,31,32,33,34,35 presenting challenges for tourism-dependent conservation,1,36,37 particularly in Africa,38,39 while providing new opportunities to protect some species.1,22,40.
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Affiliation(s)
- Liana Y Zanette
- Department of Biology, Western University, London, ON N6A 5B7, Canada.
| | | | - Michael Clinchy
- Department of Biology, Western University, London, ON N6A 5B7, Canada
| | - Michael J S Peel
- ARC - Animal Production Institute, Rangeland Ecology Group, Mbombela 1200, South Africa; School for Animal, Plant and Environmental Sciences, University of the Witwatersrand, Johannesburg 2017, South Africa; Applied Behavioural Ecology and Ecosystem Research Unit, University of South Africa, Florida 1710, South Africa
| | - Carson B Keller
- Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Sarah E Huebner
- Department of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN 55108, USA
| | - Craig Packer
- Department of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN 55108, USA
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40
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Milles A, Banitz T, Bielcik M, Frank K, Gallagher CA, Jeltsch F, Jepsen JU, Oro D, Radchuk V, Grimm V. Local buffer mechanisms for population persistence. Trends Ecol Evol 2023; 38:1051-1059. [PMID: 37558537 DOI: 10.1016/j.tree.2023.06.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 06/22/2023] [Accepted: 06/29/2023] [Indexed: 08/11/2023]
Abstract
Assessing and predicting the persistence of populations is essential for the conservation and control of species. Here, we argue that local mechanisms require a better conceptual synthesis to facilitate a more holistic consideration along with regional mechanisms known from metapopulation theory. We summarise the evidence for local buffer mechanisms along with their capacities and emphasise the need to include multiple buffer mechanisms in studies of population persistence. We propose an accessible framework for local buffer mechanisms that distinguishes between damping (reducing fluctuations in population size) and repelling (reducing population declines) mechanisms. We highlight opportunities for empirical and modelling studies to investigate the interactions and capacities of buffer mechanisms to facilitate better ecological understanding in times of ecological upheaval.
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Affiliation(s)
- Alexander Milles
- Department of Plant Ecology and Nature Conservation, University of Potsdam, Am Muhlenberg 3, 14476, Potsdam-Golm, Germany; Department of Ecological Modelling, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318 Leipzig, Germany; Nationalparkamt Hunsrück-Hochwald, Research, Biotope- and Wildlife Management, Brückener Straße 24, 55765 Birkenfeld, Germany.
| | - Thomas Banitz
- Department of Ecological Modelling, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318 Leipzig, Germany
| | - Milos Bielcik
- Freie Universität Berlin, Institute of Biology, Altensteinstr. 6, 14195 Berlin, Germany; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195 Berlin, Germany
| | - Karin Frank
- Department of Ecological Modelling, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318 Leipzig, Germany; University of Osnabrück, Institute for Environmental Systems Research, Barbarastr. 12, 49076 Osnabrück, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr. 4, 04103 Leipzig, Germany
| | - Cara A Gallagher
- Department of Plant Ecology and Nature Conservation, University of Potsdam, Am Muhlenberg 3, 14476, Potsdam-Golm, Germany
| | - Florian Jeltsch
- Department of Plant Ecology and Nature Conservation, University of Potsdam, Am Muhlenberg 3, 14476, Potsdam-Golm, Germany; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195 Berlin, Germany
| | - Jane Uhd Jepsen
- Department of Arctic Ecology, Norwegian Institute for Nature Research, Fram Centre, Hjalmar Johansens gt.14, 9007 Tromsø, Norway
| | - Daniel Oro
- Centre d'Estudis Avançats de Blanes (CEAB - CSIC), Acces Cala Sant Francesc 14, 17300 Blanes, Girona, Spain.
| | - Viktoriia Radchuk
- Ecological Dynamics Department, Leibniz Institute for Zoo and Wildlife Research, 10315 Berlin, Germany
| | - Volker Grimm
- Department of Plant Ecology and Nature Conservation, University of Potsdam, Am Muhlenberg 3, 14476, Potsdam-Golm, Germany; Department of Ecological Modelling, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318 Leipzig, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr. 4, 04103 Leipzig, Germany
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41
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Fell A, Silva T, Duthie AB, Dent D. A global systematic review of frugivorous animal tracking studies and the estimation of seed dispersal distances. Ecol Evol 2023; 13:e10638. [PMID: 37915807 PMCID: PMC10616751 DOI: 10.1002/ece3.10638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/25/2023] [Accepted: 10/08/2023] [Indexed: 11/03/2023] Open
Abstract
Seed dispersal is one of the most important ecosystem functions globally. It shapes plant populations, enhances forest succession, and has multiple, indirect benefits for humans, yet it is one of the most threatened processes in plant regeneration, worldwide. Seed dispersal distances are determined by the diets, seed retention times and movements of frugivorous animals. Hence, understanding how we can most effectively describe frugivore movement and behaviour with rapidly developing animal tracking technology is key to quantifying seed dispersal. To assess the current use of animal tracking in frugivory studies and to provide a baseline for future studies, we provide a comprehensive review and synthesis on the existing primary literature of global tracking studies that monitor movement of frugivorous animals. Specifically, we identify studies that estimate dispersal distances and how they vary with body mass and environmental traits. We show that over the last two decades there has been a large increase in frugivore tracking studies that determine seed dispersal distances. However, some taxa (e.g. reptiles) and geographic locations (e.g. Africa and Central Asia) are poorly studied. Furthermore, we found that certain morphological and environmental traits can be used to predict seed dispersal distances. We demonstrate that flight ability and increased body mass both significantly increase estimated seed dispersal mean and maximum distances. Our results also suggest that protected areas have a positive effect on mean seed dispersal distances when compared to unprotected areas. We anticipate that this review will act as a reference for future frugivore tracking studies, specifically to target current taxonomic and geographic data gaps, and to further explore how seed dispersal relates to key frugivore and fruit traits.
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Affiliation(s)
- Adam Fell
- Biological and Environmental SciencesUniversity of StirlingStirlingUK
| | - Thiago Silva
- Biological and Environmental SciencesUniversity of StirlingStirlingUK
| | - A. Bradley Duthie
- Biological and Environmental SciencesUniversity of StirlingStirlingUK
| | - Daisy Dent
- Department of Environmental Systems ScienceInstitute of Integrative Biology, ETH ZurichZurichSwitzerland
- Max Planck Institute for Animal BehaviourKonstanzGermany
- Smithsonian Tropical Research InstituteBalboaPanama
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O’Brien P, Carr N, Bowman J. Using sentinel nodes to evaluate changing connectivity in a protected area network. PeerJ 2023; 11:e16333. [PMID: 37901466 PMCID: PMC10612492 DOI: 10.7717/peerj.16333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 09/30/2023] [Indexed: 10/31/2023] Open
Abstract
It has been recognized that well-connected networks of protected areas are needed to halt the continued loss of global biodiversity. The recently signed Kunming-Montreal biodiversity agreement commits countries to protecting 30% of terrestrial lands in well-connected networks of protected areas by 2030. To meet these ambitious targets, land-use planners and conservation practitioners will require tools to identify areas important for connectivity and track future changes. In this study we present methods using circuit theoretic models with a subset of sentinel park nodes to evaluate connectivity for a protected areas network. We assigned a lower cost to natural areas within protected areas, under the assumption that animal movement within parks should be less costly given the regulation of activities. We found that by using mean pairwise effective resistance (MPER) as an indicator of overall network connectivity, we were able to detect changes in a parks network in response to simulated land-use changes. As expected, MPER increased with the addition of high-cost developments and decreased with the addition of new, low-cost protected areas. We tested our sentinel node method by evaluating connectivity for the protected area network in the province of Ontario, Canada. We also calculated a node isolation index, which highlighted differences in protected area connectivity between the north and the south of the province. Our method can help provide protected areas ecologists and planners with baseline estimates of connectivity for a given protected area network and an indicator that can be used to track changes in connectivity in the future.
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Affiliation(s)
- Paul O’Brien
- Ontario Ministry of Natural Resources and Forestry (MNRF), Peterborough, Ontario, Canada
| | - Natasha Carr
- Ontario Ministry of the Environment, Conservation and Parks (MECP), Peterborough, Ontario, Canada
| | - Jeff Bowman
- Ontario Ministry of Natural Resources and Forestry (MNRF), Peterborough, Ontario, Canada
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Mills KL, Belant JL, Beukes M, Dröge E, Everatt KT, Fyumagwa R, Green DS, Hayward MW, Holekamp KE, Radloff FGT, Spong G, Suraci JP, Van der Weyde LK, Wilmers CC, Carter NH, Sanders NJ. Tradeoffs between resources and risks shape the responses of a large carnivore to human disturbance. Commun Biol 2023; 6:986. [PMID: 37848509 PMCID: PMC10582050 DOI: 10.1038/s42003-023-05321-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 09/04/2023] [Indexed: 10/19/2023] Open
Abstract
Wide-ranging carnivores experience tradeoffs between dynamic resource availabilities and heterogeneous risks from humans, with consequences for their ecological function and conservation outcomes. Yet, research investigating these tradeoffs across large carnivore distributions is rare. We assessed how resource availability and anthropogenic risks influence the strength of lion (Panthera leo) responses to disturbance using data from 31 sites across lions' contemporary range. Lions avoided human disturbance at over two-thirds of sites, though their responses varied depending on site-level characteristics. Lions were more likely to exploit human-dominated landscapes where resources were limited, indicating that resource limitation can outweigh anthropogenic risks and might exacerbate human-carnivore conflict. Lions also avoided human impacts by increasing their nocturnal activity more often at sites with higher production of cattle. The combined effects of expanding human impacts and environmental change threaten to simultaneously downgrade the ecological function of carnivores and intensify human-carnivore conflicts, escalating extinction risks for many species.
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Affiliation(s)
- Kirby L Mills
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.
| | - Jerrold L Belant
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA
| | - Maya Beukes
- Senckenberg Research Institute and Nature Museum, Terrestrial Zoology, Frankfurt, Germany
| | - Egil Dröge
- WildCRU, Department of Biology, University of Oxford, Tubney, UK
- Zambian Carnivore Programme, Mfuwe, Zambia
| | - Kristoffer T Everatt
- Panthera, New York, NY, USA
- Centre for African Conservation Ecology, Nelson Mandela University, Port Elizabeth, South Africa
- Greater Limpopo Carnivore Programme, Limpopo, Mozambique
| | - Robert Fyumagwa
- Wildlife Conservation Initiative, Arusha, United Republic of Tanzania
| | - David S Green
- Institute for Natural Resources, Portland State University, Portland, OR, USA
| | - Matt W Hayward
- Conservation Science Research Group, School of Environmental and Life Science, University of Newcastle, Callaghan, NSW, Australia
- Centre for African Conservation Ecology, Nelson Mandela University, Qgeberha, South Africa
- Centre for Wildlife Management, University of Pretoria, Tshwane, South Africa
| | - Kay E Holekamp
- Department of Integrative Biology, Michigan State University, East Lansing, MI, USA
- Program in Ecology, Evolution, and Behavior, Michigan State University, East Lansing, Michigan, MI, USA
| | - F G T Radloff
- Department of Conservation and Marine Sciences, Faculty of Applied Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Göran Spong
- Molecular Ecology Group, SLU, 901 83, UMEÅ, Sweden
| | | | - Leanne K Van der Weyde
- Cheetah Conservation Botswana, Gaborone, Botswana
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | - Neil H Carter
- School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA
| | - Nathan J Sanders
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA
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44
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Kays R, Hirsch B, Caillaud D, Mares R, Alavi S, Havmøller RW, Crofoot M. Multi-scale movement syndromes for comparative analyses of animal movement patterns. MOVEMENT ECOLOGY 2023; 11:61. [PMID: 37794525 PMCID: PMC10552421 DOI: 10.1186/s40462-022-00365-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 12/31/2022] [Indexed: 10/06/2023]
Abstract
BACKGROUND Animal movement is a behavioral trait shaped by the need to find food and suitable habitat, avoid predators, and reproduce. Using high-resolution tracking data, it is possible to describe movement in greater detail than ever before, which has led to many discoveries about the behavioral strategies of particular species. Recently, enough data been become available to enable a comparative approach, which has the potential to uncover general causes and consequences of variation in movement patterns, but which must be scale specific. METHODS Here we introduce a new multi-scale movement syndrome (MSMS) framework for describing and comparing animal movements and use it to explore the behavior of four sympatric mammals. MSMS incorporates four hierarchical scales of animal movement: (1) fine-scale movement steps which accumulate into (2) daily paths which then, over weeks or months, form a (3) life-history phase. Finally, (4) the lifetime track of an individual consists of multiple life-history phases connected by dispersal or migration events. We suggest a series of metrics to describe patterns of movement at each of these scales and use the first three scales of this framework to compare the movement of 46 animals from four frugivorous mammal species. RESULTS While subtle differences exist between the four species in their step-level movements, they cluster into three distinct movement syndromes in both path- and life-history phase level analyses. Differences in feeding ecology were a better predictor of movement patterns than a species' locomotory or sensory adaptations. CONCLUSIONS Given the role these species play as seed dispersers, these movement syndromes could have important ecosystem implications by affecting the pattern of seed deposition. This multiscale approach provides a hierarchical framework for comparing animal movement for addressing ecological and evolutionary questions. It parallels scales of analyses for resource selection functions, offering the potential to connect movement process with emergent patterns of space use.
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Affiliation(s)
- Roland Kays
- Smithsonian Tropical Research Institute, Balboa, Republic of Panama.
- North Carolina Museum of Natural Sciences, Raleigh, NC, USA.
- Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA.
| | - Ben Hirsch
- Smithsonian Tropical Research Institute, Balboa, Republic of Panama
- College of Science and Engineering, James Cook University, Townsville, QLD, Australia
| | - Damien Caillaud
- Department of Anthropology, University of California, Davis, CA, USA
| | - Rafael Mares
- Smithsonian Tropical Research Institute, Balboa, Republic of Panama
- School of Biological Sciences, University of Bristol, Bristol, UK
| | - Shauhin Alavi
- Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Constance, Germany
| | - Rasmus Worsøe Havmøller
- Department of Anthropology, University of California, Davis, CA, USA
- Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Constance, Germany
- Research and Collections, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Margaret Crofoot
- Smithsonian Tropical Research Institute, Balboa, Republic of Panama.
- Department of Anthropology, University of California, Davis, CA, USA.
- Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Constance, Germany.
- Department of Biology, University of Konstanz, Constance, Germany.
- Center for the Advanced Study of Collective Behavior, University of Konstanz, Constance, Germany.
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45
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Mumme S, Middleton AD, Ciucci P, De Groeve J, Corradini A, Aikens EO, Ossi F, Atwood P, Balkenhol N, Cole EK, Debeffe L, Dewey SR, Fischer C, Gude J, Heurich M, Hurley MA, Jarnemo A, Kauffman MJ, Licoppe A, van Loon E, McWhirter D, Mong TW, Pedrotti L, Morellet N, Mysterud A, Peters W, Proffitt K, Saïd S, Signer J, Sunde P, Starý M, Cagnacci F. Wherever I may roam-Human activity alters movements of red deer (Cervus elaphus) and elk (Cervus canadensis) across two continents. GLOBAL CHANGE BIOLOGY 2023; 29:5788-5801. [PMID: 37306048 DOI: 10.1111/gcb.16769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 03/29/2023] [Accepted: 04/02/2023] [Indexed: 06/13/2023]
Abstract
Human activity and associated landscape modifications alter the movements of animals with consequences for populations and ecosystems worldwide. Species performing long-distance movements are thought to be particularly sensitive to human impact. Despite the increasing anthropogenic pressure, it remains challenging to understand and predict animals' responses to human activity. Here we address this knowledge gap using 1206 Global Positioning System movement trajectories of 815 individuals from 14 red deer (Cervus elaphus) and 14 elk (Cervus canadensis) populations spanning wide environmental gradients, namely the latitudinal range from the Alps to Scandinavia in Europe, and the Greater Yellowstone Ecosystem in North America. We measured individual-level movements relative to the environmental context, or movement expression, using the standardized metric Intensity of Use, reflecting both the directionality and extent of movements. We expected movement expression to be affected by resource (Normalized Difference Vegetation Index, NDVI) predictability and topography, but those factors to be superseded by human impact. Red deer and elk movement expression varied along a continuum, from highly segmented trajectories over relatively small areas (high intensity of use), to directed transitions through restricted corridors (low intensity of use). Human activity (Human Footprint Index, HFI) was the strongest driver of movement expression, with a steep increase in Intensity of Use as HFI increased, but only until a threshold was reached. After exceeding this level of impact, the Intensity of Use remained unchanged. These results indicate the overall sensitivity of Cervus movement expression to human activity and suggest a limitation of plastic responses under high human pressure, despite the species also occurring in human-dominated landscapes. Our work represents the first comparison of metric-based movement expression across widely distributed populations of a deer genus, contributing to the understanding and prediction of animals' responses to human activity.
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Affiliation(s)
- Steffen Mumme
- Department of Biology and Biotechnologies "Charles Darwin", University of Rome La Sapienza, Rome, Italy
- Animal Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
- Department of Environmental Science, Policy, and Management, University of California, California, Berkeley, USA
| | - Arthur D Middleton
- Department of Environmental Science, Policy, and Management, University of California, California, Berkeley, USA
| | - Paolo Ciucci
- Department of Biology and Biotechnologies "Charles Darwin", University of Rome La Sapienza, Rome, Italy
| | - Johannes De Groeve
- Animal Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
- Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, The Netherlands
| | - Andrea Corradini
- Animal Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, Trento, Italy
- Stelvio National Park-Ersaf Lombardia, Bormio, Italy
| | - Ellen O Aikens
- School of Computing, University of Wyoming, Wyoming, Laramie, USA
- Haub School of Environment and Natural Resources, University of Wyoming, Wyoming, Laramie, USA
| | - Federico Ossi
- Animal Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
- NBFC, National Biodiversity Future Center, Palermo, Italy
| | - Paul Atwood
- Idaho Department of Fish and Game, Idaho, Coeur d'Alene, USA
| | - Niko Balkenhol
- Wildlife Sciences, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, Goettingen, Germany
| | - Eric K Cole
- US Fish and Wildlife Service, National Elk Refuge, Wyoming, Jackson, USA
| | - Lucie Debeffe
- Université de Toulouse, INRAE, CEFS, Castanet Tolosan, France
- LTSER ZA PYRénées GARonne, Auzeville Tolosane, France
| | - Sarah R Dewey
- National Park Service, Grand Teton National Park, Wyoming, Moose, USA
| | - Claude Fischer
- Department of Nature Management, University of Applied Sciences of Western Switzerland, Jussy, Switzerland
| | - Justin Gude
- Montana Department of Fish, Wildlife and Parks, Montana, Helena, USA
| | - Marco Heurich
- Department of Visitor Management and National Park Monitoring, Bavarian Forest National Park, Grafenau, Germany
- Chair of Wildlife Ecology and Management, Albert Ludwigs University Freiburg, Freiburg, Germany
- Inland Norway University of Applied Science Institute for Forest and Wildlife Management, Koppang, Norway
| | - Mark A Hurley
- Idaho Department of Fish and Game, Idaho, Boise, USA
| | - Anders Jarnemo
- School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden
| | - Matthew J Kauffman
- U.S. Geological Survey, Wyoming Cooperative Fish and Wildlife Research Unit, Department of Zoology and Physiology, University of Wyoming, Wyoming, Laramie, USA
| | - Alain Licoppe
- Natural and Agricultural Environmental Studies Department, Service Public de Wallonie, Gembloux, Belgium
| | - Emiel van Loon
- Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, The Netherlands
| | | | - Tony W Mong
- Wyoming Game and Fish Department, Wyoming, Cody, USA
| | - Luca Pedrotti
- Stelvio National Park-Ersaf Lombardia, Bormio, Italy
| | - Nicolas Morellet
- Université de Toulouse, INRAE, CEFS, Castanet Tolosan, France
- LTSER ZA PYRénées GARonne, Auzeville Tolosane, France
| | - Atle Mysterud
- Department of Biosciences, Centre for Ecological and Evolutionary Synthesis, University of Oslo, Oslo, Norway
| | - Wibke Peters
- Department for Conservation, Biodiversity and Wildlife Management, Bavarian State Institute of Forestry, Freising, Germany
| | - Kelly Proffitt
- Montana Department of Fish, Wildlife and Parks, Montana, Bozeman, USA
| | - Sonia Saïd
- Office Français de la Biodiversité, DRAS, "Montfort", Birieux, France
| | - Johannes Signer
- Wildlife Sciences, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, Goettingen, Germany
| | - Peter Sunde
- Department of Ecoscience-Wildlife Ecology, Aarhus University, Aarhus, Denmark
| | | | - Francesca Cagnacci
- Animal Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
- NBFC, National Biodiversity Future Center, Palermo, Italy
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46
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Johnson-Bice SM, Gable TD, Homkes AT, Windels SK, Bump JK, Bruggink JG. Logging, linear features, and human infrastructure shape the spatial dynamics of wolf predation on an ungulate neonate. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2023; 33:e2911. [PMID: 37602927 DOI: 10.1002/eap.2911] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 05/31/2023] [Accepted: 07/26/2023] [Indexed: 08/22/2023]
Abstract
Humans are increasingly recognized as important players in predator-prey dynamics by modifying landscapes. This trend has been well-documented for large mammal communities in North American boreal forests: logging creates early seral forests that benefit ungulates such as white-tailed deer (Odocoileus virginianus), while the combination of infrastructure development and resource extraction practices generate linear features that allow predators such as wolves (Canis lupus) to travel and forage more efficiently throughout the landscape. Disturbances from recreational activities and residential development are other major sources of human activity in boreal ecosystems that may further alter wolf-ungulate dynamics. Here, we evaluate the influence that several major types of anthropogenic landscape modifications (timber harvest, linear features, and residential infrastructure) have on where and how wolves hunt ungulate neonates in a southern boreal forest ecosystem in Minnesota, USA. We demonstrate that each major anthropogenic disturbance significantly influences wolf predation of white-tailed deer fawns (n = 427 kill sites). In contrast with the "human shield hypothesis" that posits prey use human-modified areas as refuge, wolves killed fawns closer to residential buildings than expected based on spatial availability. Fawns were also killed within recently-logged areas more than expected. Concealment cover was higher at kill sites than random sites, suggesting wolves use senses other than vision, probably olfaction, to detect hidden fawns. Wolves showed strong selection for hunting along linear features, and kill sites were also closer to linear features than expected. We hypothesize that linear features facilitated wolf predation on fawns by allowing wolves to travel efficiently among high-quality prey patches (recently logged areas, near buildings), and also increase encounter rates with olfactory cues that allow them to detect hidden fawns. These findings provide novel insight into the strategies predators use to hunt ungulate neonates and the many ways human activity alters wolf-ungulate neonate predator-prey dynamics, which have remained elusive due to the challenges of locating sites where predators kill small prey. Our research has important management and conservation implications for wolf-ungulate systems subjected to anthropogenic pressures, particularly as the range of overlap between wolves and deer expands and appears to be altering food web dynamics in boreal ecosystems.
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Affiliation(s)
- Sean M Johnson-Bice
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Thomas D Gable
- Department of Fisheries, Wildlife and Conservation Biology, University of Minnesota, St. Paul, Minnesota, USA
| | - Austin T Homkes
- Department of Fisheries, Wildlife and Conservation Biology, University of Minnesota, St. Paul, Minnesota, USA
- Department of Biology, Northern Michigan University, Marquette, Michigan, USA
| | - Steve K Windels
- Voyageurs National Park, International Falls, Minnesota, USA
| | - Joseph K Bump
- Department of Fisheries, Wildlife and Conservation Biology, University of Minnesota, St. Paul, Minnesota, USA
| | - John G Bruggink
- Department of Biology, Northern Michigan University, Marquette, Michigan, USA
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47
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Ellis-Soto D, Oliver RY, Brum-Bastos V, Demšar U, Jesmer B, Long JA, Cagnacci F, Ossi F, Queiroz N, Hindell M, Kays R, Loretto MC, Mueller T, Patchett R, Sims DW, Tucker MA, Ropert-Coudert Y, Rutz C, Jetz W. A vision for incorporating human mobility in the study of human-wildlife interactions. Nat Ecol Evol 2023; 7:1362-1372. [PMID: 37550509 DOI: 10.1038/s41559-023-02125-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 06/19/2023] [Indexed: 08/09/2023]
Abstract
As human activities increasingly shape land- and seascapes, understanding human-wildlife interactions is imperative for preserving biodiversity. Habitats are impacted not only by static modifications, such as roads, buildings and other infrastructure, but also by the dynamic movement of people and their vehicles occurring over shorter time scales. Although there is increasing realization that both components of human activity substantially affect wildlife, capturing more dynamic processes in ecological studies has proved challenging. Here we propose a conceptual framework for developing a 'dynamic human footprint' that explicitly incorporates human mobility, providing a key link between anthropogenic stressors and ecological impacts across spatiotemporal scales. Specifically, the dynamic human footprint integrates a range of metrics to fully acknowledge the time-varying nature of human activities and to enable scale-appropriate assessments of their impacts on wildlife behaviour, demography and distributions. We review existing terrestrial and marine human-mobility data products and provide a roadmap for how these could be integrated and extended to enable more comprehensive analyses of human impacts on biodiversity in the Anthropocene.
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Affiliation(s)
- Diego Ellis-Soto
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
- Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA.
| | - Ruth Y Oliver
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
- Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA.
- Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, USA.
| | - Vanessa Brum-Bastos
- School of Geography and Sustainable Development, University of St Andrews, St Andrews, UK
- Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental Sciences, Wroclaw, Poland
- School of Earth and Environment, University of Canterbury, Christchurch, New Zealand
| | - Urška Demšar
- School of Geography and Sustainable Development, University of St Andrews, St Andrews, UK
| | - Brett Jesmer
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
- Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA
- Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA, USA
| | - Jed A Long
- Department of Geography & Environment, Centre for Animals on the Move, Western University, London, Ontario, Canada
| | - Francesca Cagnacci
- Animal Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
- National Biodiversity Future Center S.C.A.R.L., Palermo, Italy
| | - Federico Ossi
- Animal Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Nuno Queiroz
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado/BIOPOLIS Program in Genomics, Biodiversity and Land Planning, Universidade do Porto, Vairão, Portugal
- Marine Biological Association, Plymouth, UK
| | - Mark Hindell
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
- Antarctic Climate and Ecosystems Cooperative Research Centre, University of Tasmania, Hobart, Tasmania, Australia
| | - Roland Kays
- North Carolina Museum of Natural Sciences, Raleigh, NC, USA
- Dept Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA
| | - Matthias-Claudio Loretto
- Ecosystem Dynamics and Forest Management Group, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
- Berchtesgaden National Park, Berchtesgaden, Germany
- Department of Migration, Max-Planck Institute of Animal Behavior, Radolfzell, Germany
| | - Thomas Mueller
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt (Main), Germany
- Department of Biological Sciences, Goethe University, Frankfurt (Main), Germany
| | - Robert Patchett
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, UK
| | - David W Sims
- Marine Biological Association, Plymouth, UK
- Ocean and Earth Science, National Oceanography Centre Southampton, University of Southampton, Southampton, UK
- Centre for Biological Sciences, University of Southampton, Southampton, UK
| | - Marlee A Tucker
- Department of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Nijmegen, The Netherlands
| | - Yan Ropert-Coudert
- Centre d'Etudes Biologiques de Chizé, La Rochelle Université - CNRS, Villiers en Bois, France
| | - Christian Rutz
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, UK
| | - Walter Jetz
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
- Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA
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48
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Ostermann‐Miyashita E, Bluhm H, Dobiáš K, Gandl N, Hibler S, Look S, Michler F, Weltgen L, Smaga A, König HJ, Kuemmerle T, Kiffner C. Opportunities and challenges for monitoring a recolonizing large herbivore using citizen science. Ecol Evol 2023; 13:e10484. [PMID: 37664516 PMCID: PMC10474824 DOI: 10.1002/ece3.10484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/29/2023] [Accepted: 08/09/2023] [Indexed: 09/05/2023] Open
Abstract
Monitoring is a prerequisite for evidence-based wildlife management and conservation planning, yet conventional monitoring approaches are often ineffective for species occurring at low densities. However, some species such as large mammals are often observed by lay people and this information can be leveraged through citizen science monitoring schemes. To ensure that such wildlife monitoring efforts provide robust inferences, assessing the quantity, quality, and potential biases of citizen science data is crucial. For Eurasian moose (Alces alces), a species currently recolonizing north-eastern Germany and occurring in very low numbers, we applied three citizen science tools: a mail/email report system, a smartphone application, and a webpage. Among these monitoring tools, the mail/email report system yielded the greatest number of moose reports in absolute and in standardized (corrected for time effort) terms. The reported moose were predominantly identified as single, adult, male individuals, and reports occurred mostly during late summer. Overlaying citizen science data with independently generated habitat suitability and connectivity maps showed that members of the public detected moose in suitable habitats but not necessarily in movement corridors. Also, moose detections were often recorded near roads, suggestive of spatial bias in the sampling effort. Our results suggest that citizen science-based data collection can be facilitated by brief, intuitive digital reporting systems. However, inference from the resulting data can be limited due to unquantified and possibly biased sampling effort. To overcome these challenges, we offer specific recommendations such as more structured monitoring efforts involving the public in areas likely to be roamed by moose for improving quantity, quality, and analysis of citizen science-based data for making robust inferences.
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Affiliation(s)
- Emu‐Felicitas Ostermann‐Miyashita
- Faculty of Life SciencesThaer‐Institute of Agricultural and Horticultural Sciences, Humboldt Universität zu BerlinBerlinGermany
- Leibniz Centre for Agricultural Landscape Research (ZALF)MünchebergGermany
| | - Hendrik Bluhm
- Geography DepartmentHumboldt‐Universität zu BerlinBerlinGermany
| | - Kornelia Dobiáš
- Landesbetrieb Forst Brandenburg Abt. 4Landeskompetenzzentrum Forst Eberswalde (LFE)EberswaldeGermany
| | | | - Sophia Hibler
- Leibniz Centre for Agricultural Landscape Research (ZALF)MünchebergGermany
| | | | - Frank‐Uwe Michler
- Faculty of Forest and EnvironmentEberswalde University for Sustainable DevelopmentEberswaldeGermany
| | | | - Aleksandra Smaga
- Zachodniopomorskie Towarzystwo PrzyrodniczeDzika ZagrodaMirosławiecPoland
| | - Hannes J. König
- Faculty of Life SciencesThaer‐Institute of Agricultural and Horticultural Sciences, Humboldt Universität zu BerlinBerlinGermany
| | | | - Christian Kiffner
- Leibniz Centre for Agricultural Landscape Research (ZALF)MünchebergGermany
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49
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Smith MM, Erb JD, Pauli JN. Reciprocated competition between two forest carnivores drives dietary specialization. J Anim Ecol 2023; 92:1695-1706. [PMID: 37282830 DOI: 10.1111/1365-2656.13962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 04/25/2023] [Indexed: 06/08/2023]
Abstract
Competition shapes animal communities, but the strength of the interaction varies spatially depending on the availability and aggregation of resources and competitors. Among carnivores, competition is particularly pronounced with the strongest interactions between similar species with intermediate differences in body size. While ecologists have emphasized interference competition among carnivores based on dominance hierarchies from body size (smaller = subordinate; larger = dominant), the reciprocity of exploitative competition from subordinate species has been overlooked even though efficient exploitation can limit resource availability and influence foraging. Across North America, fishers Pekania pennanti and martens (Martes spp.) are two phylogenetically related forest carnivores that exhibit a high degree of overlap in habitat use and diet and differ in body size by a factor of 2-5×, eliciting particularly strong interspecific competition. In the Great Lakes region, fishers and martens occur both allopatrically and sympatrically; where they co-occur, the numerically dominant species varies spatially. This natural variation in competitors and environmental conditions enables comparisons to understand how interference and exploitative competition alter dietary niche overlap and foraging strategies. We analysed stable isotopes (δ13 C and δ15 N) from 317 martens and 132 fishers, as well as dietary items (n = 629) from 20 different genera, to compare niche size and overlap. We then quantified individual diet specialization and modelled the response to environmental conditions that were hypothesized to influence individual foraging. Martens and fishers exhibited high overlap in both available and core isotopic δ-space, but no overlap of core dietary proportions. When the competitor was absent or rare, both martens and fishers consumed more smaller-bodied prey. Notably, the dominant fisher switched from being a specialist of larger to smaller prey in the absence of the subordinate marten. Environmental context also influenced dietary specialization: increasing land cover diversity and prey abundance reduced specialization in martens whereas vegetation productivity increased specialization for both martens and fishers. Despite an important dominance hierarchy, fishers adjusted their niche in the face of a subordinate, but superior, exploitative competitor. These findings highlight the underappreciated role of the subordinate competitor in shaping the dietary niche of a dominant competitor.
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Affiliation(s)
- Matthew M Smith
- Department of Forest and Wildlife Ecology, University of Wisconsin, Madison, Wisconsin, USA
| | - John D Erb
- Minnesota Department of Natural Resources, Forest Wildlife Populations and Research Group, Grand Rapids, Minnesota, USA
| | - Jonathan N Pauli
- Department of Forest and Wildlife Ecology, University of Wisconsin, Madison, Wisconsin, USA
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50
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Russo NJ, Davies AB, Blakey RV, Ordway EM, Smith TB. Feedback loops between 3D vegetation structure and ecological functions of animals. Ecol Lett 2023; 26:1597-1613. [PMID: 37419868 DOI: 10.1111/ele.14272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 05/09/2023] [Accepted: 05/16/2023] [Indexed: 07/09/2023]
Abstract
Ecosystems function in a series of feedback loops that can change or maintain vegetation structure. Vegetation structure influences the ecological niche space available to animals, shaping many aspects of behaviour and reproduction. In turn, animals perform ecological functions that shape vegetation structure. However, most studies concerning three-dimensional vegetation structure and animal ecology consider only a single direction of this relationship. Here, we review these separate lines of research and integrate them into a unified concept that describes a feedback mechanism. We also show how remote sensing and animal tracking technologies are now available at the global scale to describe feedback loops and their consequences for ecosystem functioning. An improved understanding of how animals interact with vegetation structure in feedback loops is needed to conserve ecosystems that face major disruptions in response to climate and land-use change.
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Affiliation(s)
- Nicholas J Russo
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, California, USA
| | - Andrew B Davies
- Department of Organismic & Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Rachel V Blakey
- La Kretz Center for California Conservation Science, Institute of the Environment and Sustainability, University of California Los Angeles, Los Angeles, California, USA
- Biological Sciences Department, California State Polytechnic University, Pomona, California, USA
| | - Elsa M Ordway
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, California, USA
- La Kretz Center for California Conservation Science, Institute of the Environment and Sustainability, University of California Los Angeles, Los Angeles, California, USA
| | - Thomas B Smith
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, California, USA
- La Kretz Center for California Conservation Science, Institute of the Environment and Sustainability, University of California Los Angeles, Los Angeles, California, USA
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