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Calhoun KL, Connor T, Gaynor KM, Van Scoyoc A, McInturff A, Kreling SES, Brashares JS. Movement behavior in a dominant ungulate underlies successful adjustment to a rapidly changing landscape following megafire. MOVEMENT ECOLOGY 2024; 12:53. [PMID: 39085926 PMCID: PMC11293098 DOI: 10.1186/s40462-024-00488-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 06/23/2024] [Indexed: 08/02/2024]
Abstract
BACKGROUND Movement plays a key role in allowing animal species to adapt to sudden environmental shifts. Anthropogenic climate and land use change have accelerated the frequency of some of these extreme disturbances, including megafire. These megafires dramatically alter ecosystems and challenge the capacity of several species to adjust to a rapidly changing landscape. Ungulates and their movement behaviors play a central role in the ecosystem functions of fire-prone ecosystems around the world. Previous work has shown behavioral plasticity is an important mechanism underlying whether large ungulates are able to adjust to recent changes in their environments effectively. Ungulates may respond to the immediate effects of megafire by adjusting their movement and behavior, but how these responses persist or change over time following disturbance is poorly understood. METHODS We examined how an ecologically dominant ungulate with strong site fidelity, Columbian black-tailed deer (Odocoileus hemionus columbianus), adjusted its movement and behavior in response to an altered landscape following a megafire. To do so, we collected GPS data from 21 individual female deer over the course of a year to compare changes in home range size over time and used resource selection functions (RSFs) and hidden Markov movement models (HMMs) to assess changes in behavior and habitat selection. RESULTS We found compelling evidence of adaptive capacity across individual deer in response to megafire. Deer avoided exposed and severely burned areas that lack forage and could be riskier for predation immediately following megafire, but they later altered these behaviors to select areas that burned at higher severities, potentially to take advantage of enhanced forage. CONCLUSIONS These results suggest that despite their high site fidelity, deer can navigate altered landscapes to track rapid shifts in encounter risk with predators and resource availability. This successful adjustment of movement and behavior following extreme disturbance could help facilitate resilience at broader ecological scales.
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Affiliation(s)
- Kendall L Calhoun
- Department of Environmental, Science, Policy, and Management, University of California Berkeley, 137 Mulford #3114, Berkeley, CA, 94720, USA.
- , 210 Wellman Hall, Berkeley, CA, 94720, USA.
| | - Thomas Connor
- Department of Environmental, Science, Policy, and Management, University of California Berkeley, 137 Mulford #3114, Berkeley, CA, 94720, USA
| | - Kaitlyn M Gaynor
- Departments of Zoology & Botany, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Amy Van Scoyoc
- Department of Environmental, Science, Policy, and Management, University of California Berkeley, 137 Mulford #3114, Berkeley, CA, 94720, USA
| | - Alex McInturff
- Washington Cooperative Fish and Wildlife Research Unit, School of Environmental and Forest Sciences, U.S. Geological Survey, University of Washington, Seattle, WA, USA
| | - Samantha E S Kreling
- School of Environmental and Forest Sciences, University of Washington, University of Washington, Anderson Hall, Box 352100, Seattle, WA, 98195, USA
| | - Justin S Brashares
- Department of Environmental, Science, Policy, and Management, University of California Berkeley, 137 Mulford #3114, Berkeley, CA, 94720, USA
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Hurst AL, O Brien AL, Miller ND, Peachey AMW, Yoder JM, De Faveri SG, Cheesman J, Manoukis NC, Siderhurst MS. Tracking and modeling the movement of Queensland fruit flies, Bactrocera tryoni, using harmonic radar in papaya fields. Sci Rep 2024; 14:17521. [PMID: 39080311 PMCID: PMC11289093 DOI: 10.1038/s41598-024-67372-4] [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: 02/14/2024] [Accepted: 07/10/2024] [Indexed: 08/02/2024] Open
Abstract
Determining movement parameters for pest insects such as tephritid fruit flies is critical to developing models which can be used to increase the effectiveness of surveillance and control strategies. In this study, harmonic radar was used to track wild-caught male Queensland fruit flies (Qflies), Bactrocera tryoni, in papaya fields. Experiment 1 continuously tracked single flies which were prodded to induce movement. Qfly movements from this experiment showed greater mean squared displacement than predicted by both a simple random walk (RW) or a correlated random walk (CRW) model, suggesting that movement parameters derived from the entire data set do not adequately describe the movement of individual Qfly at all spatial scales or for all behavioral states. This conclusion is supported by both fractal and hidden Markov model (HMM) analysis. Lower fractal dimensions (straighter movement paths) were observed at larger spatial scales (> 2.5 m) suggesting that Qflies have qualitatively distinct movement at different scales. Further, a two-state HMM fit the observed movement data better than the CRW or RW models. Experiment 2 identified individual landing locations, twice a day, for groups of released Qflies, demonstrating that flies could be tracked over longer periods of time.
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Affiliation(s)
- Anika L Hurst
- Department of Biology, Eastern Mennonite University, 1200 Park Road, Harrisonburg, VA, 22802, USA
| | - Allison L O Brien
- Department of Biology and Environmental Science, Bridgewater College, 402 East College Street, Bridgewater, VA, 22812, USA
| | - Nicole D Miller
- Department of Chemistry, Eastern Mennonite University, 1200 Park Road, Harrisonburg, VA, 22802, USA
| | - Allysen M Welty Peachey
- Department of Biology, Eastern Mennonite University, 1200 Park Road, Harrisonburg, VA, 22802, USA
| | - James M Yoder
- Department of Biology, Eastern Mennonite University, 1200 Park Road, Harrisonburg, VA, 22802, USA
| | - Stefano G De Faveri
- Department of Agriculture and Fisheries, Queensland Government, 26-40 Delancey Street, Cleveland, Queensland, 4163, Australia
| | - Jodie Cheesman
- Department of Agriculture and Fisheries, Queensland Government, 28 Peters Street, Mareeba, QLD, 4880, Australia
| | - Nicholas C Manoukis
- Daniel K. Inouye US Pacific Basin Agricultural Research Center, United States Department of Agriculture, Agricultural Research Service, Hilo, HI, 96720, USA
| | - Matthew S Siderhurst
- Department of Chemistry, Eastern Mennonite University, 1200 Park Road, Harrisonburg, VA, 22802, USA.
- Daniel K. Inouye US Pacific Basin Agricultural Research Center, United States Department of Agriculture, Agricultural Research Service, Hilo, HI, 96720, USA.
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Hofmann DD, Cozzi G, Fieberg J. Methods for implementing integrated step-selection functions with incomplete data. MOVEMENT ECOLOGY 2024; 12:37. [PMID: 38725084 PMCID: PMC11081933 DOI: 10.1186/s40462-024-00476-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 04/22/2024] [Indexed: 05/12/2024]
Abstract
Integrated step-selection analyses (iSSAs) are versatile and powerful frameworks for studying habitat and movement preferences of tracked animals. iSSAs utilize integrated step-selection functions (iSSFs) to model movements in discrete time, and thus, require animal location data that are regularly spaced in time. However, many real-world datasets are incomplete due to tracking devices failing to locate an individual at one or more scheduled times, leading to slight irregularities in the duration between consecutive animal locations. To address this issue, researchers typically only consider bursts of regular data (i.e., sequences of locations that are equally spaced in time), thereby reducing the number of observations used to model movement and habitat selection. We reassess this practice and explore four alternative approaches that account for temporal irregularity resulting from missing data. Using a simulation study, we compare these alternatives to a baseline approach where temporal irregularity is ignored and demonstrate the potential improvements in model performance that can be gained by leveraging these additional data. We also showcase these benefits using a case study on a spotted hyena (Crocuta crocuta).
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Affiliation(s)
- David D Hofmann
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
- Botswana Predator Conservation Program, Wild Entrust, Private Bag 13, Maun, Botswana.
| | - Gabriele Cozzi
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
- Botswana Predator Conservation Program, Wild Entrust, Private Bag 13, Maun, Botswana
| | - John Fieberg
- Department of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, St. Paul, MN, USA
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Salles T, Joannes-Boyau R, Moffat I, Husson L, Lorcery M. Physiography, foraging mobility, and the first peopling of Sahul. Nat Commun 2024; 15:3430. [PMID: 38653772 DOI: 10.1038/s41467-024-47662-1] [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: 07/27/2023] [Accepted: 04/09/2024] [Indexed: 04/25/2024] Open
Abstract
The route and speed of migration into Sahul by Homo sapiens remain a major research question in archaeology. Here, we introduce an approach which models the impact of the physical environment on human mobility by combining time-evolving landscapes with Lévy walk foraging patterns, this latter accounting for a combination of short-distance steps and occasional longer moves that hunter-gatherers likely utilised for efficient exploration of new environments. Our results suggest a wave of dispersal radiating across Sahul following riverine corridors and coastlines. Estimated migration speeds, based on archaeological sites and predicted travelled distances, fall within previously reported range from Sahul and other regions. From our mechanistic movement simulations, we then analyse the likelihood of archaeological sites and highlight areas in Australia that hold archaeological potential. Our approach complements existing methods and provides interesting perspectives on the Pleistocene archaeology of Sahul that could be applied to other regions around the world.
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Affiliation(s)
- Tristan Salles
- School of Geosciences, The University of Sydney, Sydney, NSW, Australia.
| | - Renaud Joannes-Boyau
- Geoarchaeology and Archaeometry Research Group, Southern Cross University, Lismore, NSW, Australia
| | - Ian Moffat
- Geoarchaeology and Archaeometry Research Group, Southern Cross University, Lismore, NSW, Australia
- Archaeology, College of Humanities, Arts and Social Sciences, Flinders University, Adelaide, SA, Australia
| | - Laurent Husson
- ISTerre, CNRS, Université Grenoble-Alpes, Grenoble, France
| | - Manon Lorcery
- School of Geosciences, The University of Sydney, Sydney, NSW, Australia
- ISTerre, CNRS, Université Grenoble-Alpes, Grenoble, France
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Gaynor KM, McInturff A, Abrahms BL, Smith AM, Brashares JS. Hunting mode and habitat selection mediate the success of human hunters. MOVEMENT ECOLOGY 2024; 12:29. [PMID: 38627867 PMCID: PMC11021010 DOI: 10.1186/s40462-024-00471-z] [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: 09/14/2023] [Accepted: 04/08/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND As a globally widespread apex predator, humans have unprecedented lethal and non-lethal effects on prey populations and ecosystems. Yet compared to non-human predators, little is known about the movement ecology of human hunters, including how hunting behavior interacts with the environment. METHODS We characterized the hunting modes, habitat selection, and harvest success of 483 rifle hunters in California using high-resolution GPS data. We used Hidden Markov Models to characterize fine-scale movement behavior, and k-means clustering to group hunters by hunting mode, on the basis of their time spent in each behavioral state. Finally, we used Resource Selection Functions to quantify patterns of habitat selection for successful and unsuccessful hunters of each hunting mode. RESULTS Hunters exhibited three distinct and successful hunting modes ("coursing", "stalking", and "sit-and-wait"), with coursings as the most successful strategy. Across hunting modes, there was variation in patterns of selection for roads, topography, and habitat cover, with differences in habitat use of successful and unsuccessful hunters across modes. CONCLUSIONS Our study indicates that hunters can successfully employ a diversity of harvest strategies, and that hunting success is mediated by the interacting effects of hunting mode and landscape features. Such results highlight the breadth of human hunting modes, even within a single hunting technique, and lend insight into the varied ways that humans exert predation pressure on wildlife.
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Affiliation(s)
- Kaitlyn M Gaynor
- Departments of Zoology and Botany, University of British Columbia, Vancouver, BC, Canada.
| | - Alex McInturff
- U.S. Geological Survey Washington Cooperative Fish and Wildlife Research Unit, School of Environmental and Forest Sciences, University of Washington, Seattle, WA, USA.
| | - Briana L Abrahms
- Center for Ecosystem Sentinels, Department of Biology, University of Washington, Seattle, WA, USA
| | - Alison M Smith
- Hopland Research and Extension Center, University of California, Division of Agriculture and Natural Resources, Hopland, CA, USA
| | - Justin S Brashares
- Department of Environmental Science, Policy, and Management, University of California - Berkeley, Berkeley, CA, USA
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6
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Landry-Ducharme L, Lai S, Vézina F, Tam A, Berteaux D. Vegetation biomass and topography are associated with seasonal habitat selection and fall translocation behavior in Arctic hares. Oecologia 2024; 204:775-788. [PMID: 38554159 PMCID: PMC11062897 DOI: 10.1007/s00442-024-05534-x] [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: 06/05/2023] [Accepted: 02/23/2024] [Indexed: 04/01/2024]
Abstract
Habitat selection theory suggests that environmental features selected at coarse scales reveal fundamental factors affecting animal fitness. When these factors vary across seasons, they may lead to large-scale movements, including long-distance seasonal migrations. We analyzed the seasonal habitat selection of 25 satellite-tracked Arctic hares from a population on Ellesmere Island (Nunavut, Canada) that relocated over 100 km in the fall. Since no other lagomorph is known to perform such extensive movements, this population offered an ideal setting to test animal movement and habitat selection theory. On summer grounds hares selected low elevation areas, while on winter grounds they selected high vegetation biomass, high elevation, and steep slopes. During fall relocation, they alternated between stopover and traveling behavioral states (ratio 2:1). Stopover locations were characterized by higher vegetation heterogeneity and lower rugosity than traveling locations, while vegetation biomass and elevation interacted to explain stopover locations in a more complex way. The selected combination of environmental features thus varied across seasons and behavioral states, in a way broadly consistent with predictions based on the changing food and safety needs of hares. Although causality was not demonstrated, our results improve our understanding of long-distance movements and habitat selection in Arctic hares, as well as herbivore ecology in the polar desert. Results also provide strong support to animal movement and habitat selection theory, by showing how some important hypotheses hold when tested in a species phylogenetically distinct from most animal models used in this research field.
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Affiliation(s)
- Ludovic Landry-Ducharme
- Département de Biologie, Chimie et Géographie, Université du Québec À Rimouski, Rimouski, QC, Canada
- Canada Research Chair On Northern Biodiversity, Université du Québec À Rimouski, Rimouski, QC, Canada
- Centre for Northern Studies, Université du Québec À Rimouski, Rimouski, QC, Canada
- Quebec Centre for Biodiversity Science, Université du Québec À Rimouski, Rimouski, QC, Canada
| | - Sandra Lai
- Département de Biologie, Chimie et Géographie, Université du Québec À Rimouski, Rimouski, QC, Canada
- Canada Research Chair On Northern Biodiversity, Université du Québec À Rimouski, Rimouski, QC, Canada
- Centre for Northern Studies, Université du Québec À Rimouski, Rimouski, QC, Canada
- Quebec Centre for Biodiversity Science, Université du Québec À Rimouski, Rimouski, QC, Canada
| | - François Vézina
- Département de Biologie, Chimie et Géographie, Université du Québec À Rimouski, Rimouski, QC, Canada
- Centre for Northern Studies, Université du Québec À Rimouski, Rimouski, QC, Canada
- Quebec Centre for Biodiversity Science, Université du Québec À Rimouski, Rimouski, QC, Canada
| | - Andrew Tam
- Department of National Defence, 8 Wing Canadian Forces Base Trenton, Astra, ON, Canada
| | - Dominique Berteaux
- Département de Biologie, Chimie et Géographie, Université du Québec À Rimouski, Rimouski, QC, Canada.
- Canada Research Chair On Northern Biodiversity, Université du Québec À Rimouski, Rimouski, QC, Canada.
- Centre for Northern Studies, Université du Québec À Rimouski, Rimouski, QC, Canada.
- Quebec Centre for Biodiversity Science, Université du Québec À Rimouski, Rimouski, QC, Canada.
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7
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Pohle J, Signer J, Eccard JA, Dammhahn M, Schlägel UE. How to account for behavioral states in step-selection analysis: a model comparison. PeerJ 2024; 12:e16509. [PMID: 38426131 PMCID: PMC10903358 DOI: 10.7717/peerj.16509] [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: 06/19/2023] [Accepted: 11/01/2023] [Indexed: 03/02/2024] Open
Abstract
Step-selection models are widely used to study animals' fine-scale habitat selection based on movement data. Resource preferences and movement patterns, however, often depend on the animal's unobserved behavioral states, such as resting or foraging. As this is ignored in standard (integrated) step-selection analyses (SSA, iSSA), different approaches have emerged to account for such states in the analysis. The performance of these approaches and the consequences of ignoring the states in step-selection analysis, however, have rarely been quantified. We evaluate the recent idea of combining iSSAs with hidden Markov models (HMMs), which allows for a joint estimation of the unobserved behavioral states and the associated state-dependent habitat selection. Besides theoretical considerations, we use an extensive simulation study and a case study on fine-scale interactions of simultaneously tracked bank voles (Myodes glareolus) to compare this HMM-iSSA empirically to both the standard and a widely used classification-based iSSA (i.e., a two-step approach based on a separate prior state classification). Moreover, to facilitate its use, we implemented the basic HMM-iSSA approach in the R package HMMiSSA available on GitHub.
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Affiliation(s)
- Jennifer Pohle
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Johannes Signer
- Wildlife Sciences, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, Göttingen, Germany
| | - Jana A. Eccard
- Animal Ecology, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Melanie Dammhahn
- Department of Behavioural Biology, University of Münster, Münster, Germany
| | - Ulrike E. Schlägel
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
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8
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Berigan LA, Aulicky CSH, Teige EC, Sullins DS, Fricke KA, Reitz JH, Rossi LG, Schultz KA, Rice MB, Tanner E, Fuhlendorf SD, Haukos DA. Lesser prairie-chicken dispersal after translocation: Implications for restoration and population connectivity. Ecol Evol 2024; 14:e10871. [PMID: 38304269 PMCID: PMC10828740 DOI: 10.1002/ece3.10871] [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: 09/27/2023] [Revised: 12/29/2023] [Accepted: 01/03/2024] [Indexed: 02/03/2024] Open
Abstract
Conservation translocations are frequently inhibited by extensive dispersal after release, which can expose animals to dispersal-related mortality or Allee effects due to a lack of nearby conspecifics. However, translocation-induced dispersals also provide opportunities to study how animals move across a novel landscape, and how their movements are influenced by landscape configuration and anthropogenic features. Translocation among populations is considered a potential conservation strategy for lesser prairie-chickens (Tympanuchus pallidicinctus). We determined the influence of release area on dispersal frequency by translocated lesser prairie-chickens and measured how lesser prairie-chickens move through grassland landscapes through avoidance of anthropogenic features during their dispersal movements. We translocated 411 lesser prairie-chickens from northwest Kansas to southeastern Colorado and southwestern Kansas in 2016-2019. We used satellite GPS transmitters to track 115 lesser prairie-chickens throughout their post-release dispersal movements. We found that almost all lesser prairie-chickens that survived from their spring release date until June undergo post-translocation dispersal, and there was little variation in dispersal frequency by release area (96% of all tracked birds, 100% in Baca County, Colorado, 94% in Morton County, Kansas, n = 55). Dispersal movements (male: 103 ± 73 km, female: 175 ± 108 km, n = 62) led to diffusion across landscapes, with 69% of birds settling >5 km from their release site. During dispersal movements, translocated lesser prairie-chickens usually travel by a single 3.75 ± 4.95 km dispersal flight per day, selecting for steps that end far from roads and in Conservation Reserve Program (CRP) grasslands. Due to this "stepping stone" method of transit, landscape connectivity is optimized when <5 km separates grassland patches on the landscape. Future persistence of lesser prairie-chicken populations can be aided through conservation of habitat and strategic placement of CRP to maximize habitat connectivity. Dispersal rates suggest that translocation is better suited to objectives for regional, rather than site-specific, population augmentation for this species.
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Affiliation(s)
- Liam A. Berigan
- Kansas Cooperative Fish and Wildlife Research Unit, Division of BiologyKansas State UniversityManhattanKansasUSA
| | - Carly S. H. Aulicky
- Kansas Cooperative Fish and Wildlife Research Unit, Division of BiologyKansas State UniversityManhattanKansasUSA
- Present address:
Native Prairies Association of TexasSan MarcosTexasUSA
| | - Elisabeth C. Teige
- Kansas Cooperative Fish and Wildlife Research Unit, Division of BiologyKansas State UniversityManhattanKansasUSA
| | - Daniel S. Sullins
- Kansas Cooperative Fish and Wildlife Research Unit, Division of BiologyKansas State UniversityManhattanKansasUSA
- Present address:
Department of Horticulture and Natural ResourcesKansas State UniversityManhattanKansasUSA
| | | | | | - Liza G. Rossi
- Colorado Parks and WildlifeSteamboat SpringsColoradoUSA
| | | | - Mindy B. Rice
- U.S. Fish and Wildlife Service, National Wildlife Refuge SystemFort CollinsColoradoUSA
| | - Evan Tanner
- Department of Rangeland and Wildlife Sciences, Caesar Kleberg Wildlife Research InstituteTexas A&M UniversityKingsvilleTexasUSA
| | - Samuel D. Fuhlendorf
- Natural Resource Ecology & ManagementOklahoma State UniversityStillwaterOklahomaUSA
| | - David A. Haukos
- U.S. Geological Survey, Kansas Cooperative Fish and Wildlife Research UnitKansas State UniversityManhattanKansasUSA
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Harju S, Cambrin S, Berg J. Indirect impacts of a highway on movement behavioral states of a threatened tortoise and implications for landscape connectivity. Sci Rep 2024; 14:716. [PMID: 38184706 PMCID: PMC10771453 DOI: 10.1038/s41598-024-51378-z] [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: 08/09/2023] [Accepted: 01/04/2024] [Indexed: 01/08/2024] Open
Abstract
Roads have often been identified as barriers to the movement of free-ranging animals. However, whether restoration of landscape connectivity across roadways can mitigate barriers to movement is insufficiently understood in light of indirect effects of roads on wildlife movement. We GPS-tagged free-ranging Mojave desert tortoises (Gopherus agassizii) to quantify movement behavioral states using hidden Markov models in relation to a major highway and to document use of existing, permeable culverts. We then used the observed movement behaviors to parameterize simulations of tortoise movement to evaluate alternative culvert designs and placements for enhancing connectivity across the roadway. Tortoises were most active during mid-day, in warm temperatures, and when close to the highway. The highway affected transition probabilities between movement states, as females were more likely than males to switch to an energy-demanding traveling movement state, remain in that state, and move farther than usual within that state. In contrast, males were more likely than females to continue in the low-energy resting state when close to the highway, but if traveling, to travel farther than usual. We observed two highway crossings by a tagged tortoise, which was a higher rate of crossing than in simulated tortoises. Simulated crossing rates increased with culvert size and culvert density, and size and density appeared more important for crossing than if culverts were placed singly or in pairs. Existing culvert densities across the region appeared potentially sufficient for long-term genetic connectivity, but only if retrofitted to allow for tortoise access and passing. We concluded that existing highway traffic may indirectly depress tortoise populations adjacent to the highway, particularly via negative impacts to female movements, and that existing culverts in washes should be retrofitted to allow for periodic tortoise crossings to improve structural connectivity for occasional passage.
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Affiliation(s)
- Seth Harju
- Heron Ecological, LLC, P.O. Box 235, Kingston, ID, 83839, USA.
| | - Scott Cambrin
- Clark County Desert Conservation Program, 4701 W Russell Rd, Las Vegas, NV, 89118, USA
| | - Jodi Berg
- Alta Science and Engineering, 220 E Fifth St, Suite 325, Moscow, ID, 83843, USA
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10
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Rabindrajit Luwang S, Rai A, Nurujjaman M, Prakash O, Hens C. High-frequency stock market order transitions during the US-China trade war 2018: A discrete-time Markov chain analysis. CHAOS (WOODBURY, N.Y.) 2024; 34:013118. [PMID: 38215224 DOI: 10.1063/5.0176892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 12/14/2023] [Indexed: 01/14/2024]
Abstract
Statistical analysis of high-frequency stock market order transaction data is conducted to understand order transition dynamics. We employ a first-order time-homogeneous discrete-time Markov chain model to the sequence of orders of stocks belonging to six different sectors during the US-China trade war of 2018. The Markov property of the order sequence is validated by the Chi-square test. We estimate the transition probability matrix of the sequence using maximum likelihood estimation. From the heatmap of these matrices, we found the presence of active participation by different types of traders during high volatility days. On such days, these traders place limit orders primarily with the intention of deleting the majority of them to influence the market. These findings are supported by high stationary distribution and low mean recurrence values of add and delete orders. Further, we found similar spectral gap and entropy rate values, which indicates that similar trading strategies are employed on both high and low volatility days during the trade war. Among all the sectors considered in this study, we observe that there is a recurring pattern of full execution orders in the Finance & Banking sector. This shows that the banking stocks are resilient during the trade war. Hence, this study may be useful in understanding stock market order dynamics and devise trading strategies accordingly on high and low volatility days during extreme macroeconomic events.
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Affiliation(s)
| | - Anish Rai
- Department of Physics, National Institute of Technology Sikkim, Sikkim 737139, India
| | - Md Nurujjaman
- Department of Physics, National Institute of Technology Sikkim, Sikkim 737139, India
| | - Om Prakash
- Department of Mathematics, National Institute of Technology Sikkim, Sikkim 737139, India
| | - Chittaranjan Hens
- Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, India
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11
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Newman BA, Dyal JR, Miller KV, Cherry MJ, D'Angelo GJ. Influence of visual perception on movement decisions by an ungulate prey species. Biol Open 2023; 12:bio059932. [PMID: 37843403 PMCID: PMC10602006 DOI: 10.1242/bio.059932] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 09/01/2023] [Indexed: 10/17/2023] Open
Abstract
Visual perception is dynamic and depends on physiological properties of a species' visual system and physical characteristics of the environment. White-tailed deer (Odocoileus virginianus) are most sensitive to short- and mid-wavelength light (e.g. blue and green). Wavelength enrichment varies spatially and temporally across the landscape. We assessed how the visual perception of deer influences their movement decisions. From August to September 2019, we recorded 10-min locations from 15 GPS-collared adult male deer in Central Florida. We used Hidden-Markov models to identify periods of movement by deer and subset these data into three time periods based on temporal changes in light environments. We modeled resource selection during movement using path-selection functions and simulated 10 available paths for every path used. We developed five a priori models and used 10-fold cross validation to assess our top model's performance for each time period. During the day, deer selected to move through woodland shade, avoided forest shade, and neither selected nor avoided small gaps. At twilight, deer avoided wetlands as cloud cover increased but neither selected nor avoided other cover types. Visual cues and signals are likely more conspicuous to deer in short-wavelength-enriched woodland shade during the day, while at twilight in long-wavelength-enriched wetlands during cloud cover, visual cues are likely less conspicuous. The nocturnal light environment did not influence resource selection and likely has little effect on deer movements because it's relatively homogenous. Our findings suggest visual perception relative to light environments is likely an underappreciated driver of behaviors and decision-making by an ungulate prey species.
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Affiliation(s)
- Blaise A. Newman
- Warnell School of Forestry and Natural Resources, University of Georgia, 180 E Green Street, Athens, GA 30602, USA
| | - Jordan R. Dyal
- Warnell School of Forestry and Natural Resources, University of Georgia, 180 E Green Street, Athens, GA 30602, USA
| | - Karl V. Miller
- Warnell School of Forestry and Natural Resources, University of Georgia, 180 E Green Street, Athens, GA 30602, USA
| | - Michael J. Cherry
- Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, 700 University Blvd., Kingsville, TX 78363, USA
| | - Gino J. D'Angelo
- Warnell School of Forestry and Natural Resources, University of Georgia, 180 E Green Street, Athens, GA 30602, USA
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12
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Barbour N, Shillinger GL, Gurarie E, Hoover AL, Gaspar P, Temple-Boyer J, Candela T, Fagan WF, Bailey H. Incorporating multidimensional behavior into a risk management tool for a critically endangered and migratory species. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2023; 37:e14114. [PMID: 37204012 DOI: 10.1111/cobi.14114] [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: 10/14/2022] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/20/2023]
Abstract
Conservation of migratory species exhibiting wide-ranging and multidimensional behaviors is challenged by management efforts that only utilize horizontal movements or produce static spatial-temporal products. For the deep-diving, critically endangered eastern Pacific leatherback turtle, tools that predict where turtles have high risks of fisheries interactions are urgently needed to prevent further population decline. We incorporated horizontal-vertical movement model results with spatial-temporal kernel density estimates and threat data (gear-specific fishing) to develop monthly maps of spatial risk. Specifically, we applied multistate hidden Markov models to a biotelemetry data set (n = 28 leatherback tracks, 2004-2007). Tracks with dive information were used to characterize turtle behavior as belonging to 1 of 3 states (transiting, residential with mixed diving, and residential with deep diving). Recent fishing effort data from Global Fishing Watch were integrated with predicted behaviors and monthly space-use estimates to create maps of relative risk of turtle-fisheries interactions. Drifting (pelagic) longline fishing gear had the highest average monthly fishing effort in the study region, and risk indices showed this gear to also have the greatest potential for high-risk interactions with turtles in a residential, deep-diving behavioral state. Monthly relative risk surfaces for all gears and behaviors were added to South Pacific TurtleWatch (SPTW) (https://www.upwell.org/sptw), a dynamic management tool for this leatherback population. These modifications will refine SPTW's capability to provide important predictions of potential high-risk bycatch areas for turtles undertaking specific behaviors. Our results demonstrate how multidimensional movement data, spatial-temporal density estimates, and threat data can be used to create a unique conservation tool. These methods serve as a framework for incorporating behavior into similar tools for other aquatic, aerial, and terrestrial taxa with multidimensional movement behaviors.
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Affiliation(s)
- Nicole Barbour
- Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, USA
- Department of Biology, University of Maryland, College Park, Maryland, USA
- Upwell, Monterey, California, USA
- Department of Environmental Biology, SUNY College of Environmental and Forest Sciences, Syracuse, New York, USA
| | - George L Shillinger
- Upwell, Monterey, California, USA
- Hopkins Marine Station, Stanford University, Pacific Grove, California, USA
- MigraMar, Bodega Bay, California, USA
| | - Eliezer Gurarie
- Department of Biology, University of Maryland, College Park, Maryland, USA
- Department of Environmental Biology, SUNY College of Environmental and Forest Sciences, Syracuse, New York, USA
| | | | | | | | - Tony Candela
- Upwell, Monterey, California, USA
- Mercator Ocean International, Toulouse, France
| | - William F Fagan
- Department of Biology, University of Maryland, College Park, Maryland, USA
| | - Helen Bailey
- Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, USA
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13
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Gayford JH, Pearse WD, De La Parra Venegas R, Whitehead DA. Quantifying the behavioural consequences of shark ecotourism. Sci Rep 2023; 13:12938. [PMID: 37679396 PMCID: PMC10485054 DOI: 10.1038/s41598-023-39560-1] [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: 04/25/2023] [Accepted: 07/27/2023] [Indexed: 09/09/2023] Open
Abstract
Shark populations globally are facing catastrophic declines. Ecotourism has been posited as a potential solution to many of the issues facing shark conservation, yet increasingly studies suggest that such activity may negatively influence aspects of shark ecology and so further pressure declining populations. Here we combine UAV videography with deep learning algorithms, multivariate statistics and hidden Markov models (HMM) to quantitatively investigate the behavioural consequences of ecotourism in the whale shark (Rhincodon typus). We find that ecotourism increases the probability of sharks being in a disturbed behavioural state, likely increasing energetic expenditure and potentially leading to downstream ecological effects. These results are only recovered when fitting models that account for individual variation in behavioural responses and past behavioural history. Our results demonstrate that behavioural responses to ecotourism are context dependent, as the initial behavioural state is important in determining responses to human activity. We argue that models incorporating individuality and context-dependence should, wherever possible, be incorporated into future studies investigating the ecological impacts of shark ecotourism, which are only likely to increase in importance given the expansion of the industry and the dire conservation status of many shark species.
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Affiliation(s)
- Joel H Gayford
- Department of Life Sciences, Silwood Park Campus, Imperial College London, London, UK.
- Shark Measurements, London, UK.
| | - William D Pearse
- Department of Life Sciences, Silwood Park Campus, Imperial College London, London, UK
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14
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Klappstein NJ, Thomas L, Michelot T. Flexible hidden Markov models for behaviour-dependent habitat selection. MOVEMENT ECOLOGY 2023; 11:30. [PMID: 37270509 DOI: 10.1186/s40462-023-00392-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 05/09/2023] [Indexed: 06/05/2023]
Abstract
BACKGROUND There is strong incentive to model behaviour-dependent habitat selection, as this can help delineate critical habitats for important life processes and reduce bias in model parameters. For this purpose, a two-stage modelling approach is often taken: (i) classify behaviours with a hidden Markov model (HMM), and (ii) fit a step selection function (SSF) to each subset of data. However, this approach does not properly account for the uncertainty in behavioural classification, nor does it allow states to depend on habitat selection. An alternative approach is to estimate both state switching and habitat selection in a single, integrated model called an HMM-SSF. METHODS We build on this recent methodological work to make the HMM-SSF approach more efficient and general. We focus on writing the model as an HMM where the observation process is defined by an SSF, such that well-known inferential methods for HMMs can be used directly for parameter estimation and state classification. We extend the model to include covariates on the HMM transition probabilities, allowing for inferences into the temporal and individual-specific drivers of state switching. We demonstrate the method through an illustrative example of plains zebra (Equus quagga), including state estimation, and simulations to estimate a utilisation distribution. RESULTS In the zebra analysis, we identified two behavioural states, with clearly distinct patterns of movement and habitat selection ("encamped" and "exploratory"). In particular, although the zebra tended to prefer areas higher in grassland across both behavioural states, this selection was much stronger in the fast, directed exploratory state. We also found a clear diel cycle in behaviour, which indicated that zebras were more likely to be exploring in the morning and encamped in the evening. CONCLUSIONS This method can be used to analyse behaviour-specific habitat selection in a wide range of species and systems. A large suite of statistical extensions and tools developed for HMMs and SSFs can be applied directly to this integrated model, making it a very versatile framework to jointly learn about animal behaviour, habitat selection, and space use.
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Affiliation(s)
- N J Klappstein
- School of Mathematics and Statistics, University of St Andrews, St Andrews, UK.
- Department of Mathematics and Statistics, Dalhousie University, Halifax, Canada.
| | - L Thomas
- School of Mathematics and Statistics, University of St Andrews, St Andrews, UK
| | - T Michelot
- School of Mathematics and Statistics, University of St Andrews, St Andrews, UK
- Department of Mathematics and Statistics, Dalhousie University, Halifax, Canada
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15
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Formaglio P, Wosniack ME, Tromer RM, Polli JG, Matos YB, Zhong H, Raposo EP, da Luz MGE, Amino R. Plasmodium sporozoite search strategy to locate hotspots of blood vessel invasion. Nat Commun 2023; 14:2965. [PMID: 37221182 DOI: 10.1038/s41467-023-38706-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 05/10/2023] [Indexed: 05/25/2023] Open
Abstract
Plasmodium sporozoites actively migrate in the dermis and enter blood vessels to infect the liver. Despite their importance for malaria infection, little is known about these cutaneous processes. We combine intravital imaging in a rodent malaria model and statistical methods to unveil the parasite strategy to reach the bloodstream. We determine that sporozoites display a high-motility mode with a superdiffusive Lévy-like pattern known to optimize the location of scarce targets. When encountering blood vessels, sporozoites frequently switch to a subdiffusive low-motility behavior associated with probing for intravasation hotspots, marked by the presence of pericytes. Hence, sporozoites present anomalous diffusive motility, alternating between superdiffusive tissue exploration and subdiffusive local vessel exploitation, thus optimizing the sequential tasks of seeking blood vessels and pericyte-associated sites of privileged intravasation.
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Affiliation(s)
- Pauline Formaglio
- Institut Pasteur, Université Paris Cité, Malaria Infection and Immunity Unit, 75015, Paris, France
| | | | - Raphael M Tromer
- Departamento de Física Teórica e Experimental, Universidade Federal do Rio Grande do Norte, 59078- 970, Natal-RN, Brazil
| | - Jaderson G Polli
- Departamento de Física, Universidade Federal do Paraná, 81531-980, Curitiba-PR, Brazil
| | - Yuri B Matos
- Departamento de Física, Universidade Federal do Paraná, 81531-980, Curitiba-PR, Brazil
| | - Hang Zhong
- Institut Pasteur, Université Paris Cité, Malaria Infection and Immunity Unit, 75015, Paris, France
| | - Ernesto P Raposo
- Laboratório de Física Teórica e Computacional, Departamento de Física, Universidade Federal de Pernambuco, 50670-901, Recife-PE, Brazil
| | - Marcos G E da Luz
- Departamento de Física, Universidade Federal do Paraná, 81531-980, Curitiba-PR, Brazil.
| | - Rogerio Amino
- Institut Pasteur, Université Paris Cité, Malaria Infection and Immunity Unit, 75015, Paris, France.
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16
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Hewitt DE, Johnson DD, Suthers IM, Taylor MD. Crabs ride the tide: incoming tides promote foraging of Giant Mud Crab (Scylla serrata). MOVEMENT ECOLOGY 2023; 11:21. [PMID: 37069648 PMCID: PMC10108527 DOI: 10.1186/s40462-023-00384-3] [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: 10/19/2022] [Accepted: 04/06/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Effective fisheries management of mobile species relies on robust knowledge of animal behaviour and habitat-use. Indices of behaviour can be useful for interpreting catch-per-unit-effort data which acts as a proxy for relative abundance. Information about habitat-use can inform stocking release strategies or the design of marine protected areas. The Giant Mud Crab (Scylla serrata; Family: Portunidae) is a swimming estuarine crab that supports significant fisheries harvest throughout the Indo-West Pacific, but little is known about the fine-scale movement and behaviour of this species. METHODS We tagged 18 adult Giant Mud Crab with accelerometer-equipped acoustic tags to track their fine-scale movement using a hyperbolic positioning system, alongside high temporal resolution environmental data (e.g., water temperature), in a temperate south-east Australian estuary. A hidden Markov model was used to classify movement (i.e., step length, turning angle) and acceleration data into discrete behaviours, while also considering the possibility of individual variation in behavioural dynamics. We then investigated the influence of environmental covariates on these behaviours based on previously published observations. RESULTS We fitted a model with two well-distinguished behavioural states describing periods of inactivity and foraging, and found no evidence of individual variation in behavioural dynamics. Inactive periods were most common (79% of time), and foraging was most likely during low, incoming tides; while inactivity was more likely as the high tide receded. Model selection removed time (hour) of day and water temperature (°C) as covariates, suggesting that they do not influence Giant Mud Crab behavioural dynamics at the temporal scale investigated. CONCLUSIONS Our study is the first to quantitatively link fine-scale movement and behaviour of Giant Mud Crab to environmental variation. Our results suggest Giant Mud Crab are a predominantly sessile species, and support their status as an opportunistic scavenger. We demonstrate a relationship between the tidal cycle and foraging that is likely to minimize predation risk while maximizing energetic efficiency. These results may explain why tidal covariates influence catch rates in swimming crabs, and provide a foundation for standardisation and interpretation of catch-per-unit-effort data-a commonly used metric in fisheries science.
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Affiliation(s)
- Daniel E Hewitt
- Fisheries and Marine Environmental Research Lab, Centre for Marine Science and Innovation, School of Biological, Earth and Environmental Science, University of New South Wales, NSW, Sydney, 2052, Australia.
- New South Wales Department of Primary Industries, Port Stephens Fisheries Institute, NSW, Locked Bag 1, Nelson Bay, 2315, Australia.
| | - Daniel D Johnson
- New South Wales Department of Primary Industries, Port Stephens Fisheries Institute, NSW, Locked Bag 1, Nelson Bay, 2315, Australia
| | - Iain M Suthers
- Fisheries and Marine Environmental Research Lab, Centre for Marine Science and Innovation, School of Biological, Earth and Environmental Science, University of New South Wales, NSW, Sydney, 2052, Australia
- Sydney Institute of Marine Science, Mosman, NSW, Australia
| | - Matthew D Taylor
- Fisheries and Marine Environmental Research Lab, Centre for Marine Science and Innovation, School of Biological, Earth and Environmental Science, University of New South Wales, NSW, Sydney, 2052, Australia
- New South Wales Department of Primary Industries, Port Stephens Fisheries Institute, NSW, Locked Bag 1, Nelson Bay, 2315, Australia
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17
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Cervantes F, Murgatroyd M, Allan DG, Farwig N, Kemp R, Krüger S, Maude G, Mendelsohn J, Rösner S, Schabo DG, Tate G, Wolter K, Amar A. A utilization distribution for the global population of Cape Vultures (Gyps coprotheres) to guide wind energy development. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2023; 33:e2809. [PMID: 36691259 DOI: 10.1002/eap.2809] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 11/18/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
The rapid development of wind energy in southern Africa represents an additional threat to the already fragile populations of African vultures. The distribution of the vulnerable Cape Vulture Gyps coprotheres overlaps considerably with wind energy development areas in South Africa, creating conflicts that can hinder both vulture conservation and sustainable energy development. To help address this conflict and aid in the safe placement of wind energy facilities, we map the utilization distribution (UD) of this species across its distributional range. Using tracking data from 68 Cape Vultures collected over the last 20 years, we develop a spatially explicit habitat use model to estimate the expected UDs around known colonies. Scaling the UDs by the number of vultures expected to use each of the colonies, we estimate the Cape Vulture population utilization distribution (PUD) and determine its exposure to wind farm impacts. To complement our results, we model the probability of a vulture flying within the rotor sweep area of a wind turbine throughout the species range and use this to identify areas that are particularly prone to collisions. Overall, our estimated PUD correlates well with reporting rates of the species from the Southern African Bird Atlas Project, currently used to assess potential overlap between Cape Vultures and wind energy developments, but it adds important benefits, such as providing a spatial gradient of activity estimates over the entire species range. We illustrate the application of our maps by analyzing the exposure of Cape Vultures in the Renewable Energy Development Zones (REDZs) in South Africa. This application is a scalable procedure that can be applied at different planning phases, from strategic, nationwide planning to project-level assessments.
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Affiliation(s)
- Francisco Cervantes
- FitzPatrick Institute of African Ornithology, University of Cape Town, Cape Town, South Africa
| | - Megan Murgatroyd
- FitzPatrick Institute of African Ornithology, University of Cape Town, Cape Town, South Africa
- HawkWatch International, Salt Lake City, Utah, USA
- Birds of Prey Programme, Endangered Wildlife Trust, Midrand, South Africa
| | | | - Nina Farwig
- Faculty of Biology, Conservation Ecology, Philipps-University Marburg, Marburg, Germany
| | | | - Sonja Krüger
- Ezemvelo KwaZulu-Natal Wildlife, Cascades, South Africa
- Centre for Functional Biodiversity, School of Life Sciences, University of KwaZulu-Natal, Scottsville, South Africa
| | | | | | - Sascha Rösner
- Faculty of Biology, Conservation Ecology, Philipps-University Marburg, Marburg, Germany
| | - Dana G Schabo
- Faculty of Biology, Conservation Ecology, Philipps-University Marburg, Marburg, Germany
| | - Gareth Tate
- FitzPatrick Institute of African Ornithology, University of Cape Town, Cape Town, South Africa
- Birds of Prey Programme, Endangered Wildlife Trust, Midrand, South Africa
| | | | - Arjun Amar
- FitzPatrick Institute of African Ornithology, University of Cape Town, Cape Town, South Africa
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18
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Wind energy production in forests conflicts with tree-roosting bats. Curr Biol 2023; 33:737-743.e3. [PMID: 36681078 DOI: 10.1016/j.cub.2022.12.050] [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: 08/10/2022] [Revised: 10/18/2022] [Accepted: 12/20/2022] [Indexed: 01/22/2023]
Abstract
Many countries are investing heavily in wind power generation,1 triggering a high demand for suitable land. As a result, wind energy facilities are increasingly being installed in forests,2,3 despite the fact that forests are crucial for the protection of terrestrial biodiversity.4 This green-green dilemma is particularly evident for bats, as most species at risk of colliding with wind turbines roost in trees.2 With some of these species reported to be declining,5,6,7,8 we see an urgent need to understand how bats respond to wind turbines in forested areas, especially in Europe where all bat species are legally protected. We used miniaturized global positioning system (GPS) units to study how European common noctule bats (Nyctalus noctula), a species that is highly vulnerable at turbines,9 respond to wind turbines in forests. Data from 60 tagged common noctules yielded a total of 8,129 positions, of which 2.3% were recorded at distances <100 m from the nearest turbine. Bats were particularly active at turbines <500 m near roosts, which may require such turbines to be shut down more frequently at times of high bat activity to reduce collision risk. Beyond roosts, bats avoided turbines over several kilometers, supporting earlier findings on habitat loss for forest-associated bats.10 This habitat loss should be compensated by developing parts of the forest as refugia for bats. Our study highlights that it can be particularly challenging to generate wind energy in forested areas in an ecologically sustainable manner with minimal impact on forests and the wildlife that inhabit them.
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Martin A, Étienne MP, Gloaguen P, Le Corff S, Olsson J. Backward importance sampling for online estimation of state space models. J Comput Graph Stat 2023. [DOI: 10.1080/10618600.2023.2174125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Affiliation(s)
- Alice Martin
- École Polytechnique, et Samovar, Télécom SudParis, Institut Polytechnique de Paris, 91120, Palaiseau, France
| | | | - Pierre Gloaguen
- Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay, 91120, Palaiseau, France
| | - Sylvain Le Corff
- LPSM, Sorbonne Université, UMR CNRS 8001, 4 Place Jussieu, 75005, Paris, France
| | - Jimmy Olsson
- Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden
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20
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Rabies transmission in the Arctic: An agent-based model reveals the effects of broad-scale movement strategies on contact risk between Arctic foxes. Ecol Modell 2023. [DOI: 10.1016/j.ecolmodel.2022.110207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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21
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Jonsen ID, Grecian WJ, Phillips L, Carroll G, McMahon C, Harcourt RG, Hindell MA, Patterson TA. aniMotum, an R package for animal movement data: Rapid quality control, behavioural estimation and simulation. Methods Ecol Evol 2023. [DOI: 10.1111/2041-210x.14060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
- Ian D. Jonsen
- School of Natural Sciences Macquarie University Sydney New South Wales Australia
| | - W. James Grecian
- Sea Mammal Research Unit, Scottish Oceans Institute University of St Andrews St Andrews UK
| | - Lachlan Phillips
- School of Natural Sciences Macquarie University Sydney New South Wales Australia
| | | | - Clive McMahon
- Sydney Institute of Marine Science Mosman New South Wales Australia
| | - Robert G. Harcourt
- School of Natural Sciences Macquarie University Sydney New South Wales Australia
| | - Mark A. Hindell
- Institute for Marine and Antarctic Studies University of Tasmania Hobart Tasmania Australia
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22
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Johnson T, Pilleboue E, Herbrich M, Garine E, Sueur C. Management of Social Behaviour of Domestic Yaks in Manang, Nepal: An Etho-Ethnographic Study. Animals (Basel) 2023; 13:ani13020248. [PMID: 36670788 PMCID: PMC9854466 DOI: 10.3390/ani13020248] [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: 12/07/2022] [Revised: 01/07/2023] [Accepted: 01/09/2023] [Indexed: 01/13/2023] Open
Abstract
Herdsmen use different techniques, as per varying geographies and cultures, to keep the cohesion within herds and avoid animals getting lost or predated. However, there is no study on the social behaviour of yaks and herdsmen management practices. Therefore, this ethology study was initiated by ethnographic inquiries. In Manang, the success of the shepherd is dictated by his personal attribute of 'Khula man' or open-heartedness. This attribute refers to good intentions and emotions such as empathy, which allow the shepherd to focus more on others than on himself. This cultural way of assessing the skills required to become a successful and knowledgeable shepherd guided us to study the effect of cultural values on the herd's social behaviour. We collected data from two herds living at the same settlement (Yak kharka, 4100 m altitude, Nepal) by equipping them with loggers. One of the herdsmen used the tether rope while the other one did not. Moreover, the Thaku herd had a more proactive shepherd than the Phurba one. In each herd, 17 animals were equipped with one Actigraph wgt3x-BT to measure activity using an accelerometer and spatial associations using a proximity recorder. One of the herds was equipped with GPS (N = 11) as well. Using GPS locations and activity, we showed that the two herds were cohesive and synchronised their activities but the Thaku herd (tether rope herd) was more cohesive than the Phurba herd based on the Actigraph signals. The shepherds also have personal knowledge of the social relationships of individual animals in their herds and use these relationships to keep the group cohesive and to manage cattle well.
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Affiliation(s)
| | - Emma Pilleboue
- IPHC, Université de Strasbourg, CNRS, UMR 7178, 67000 Strasbourg, France
| | - Maxime Herbrich
- IPHC, Université de Strasbourg, CNRS, UMR 7178, 67000 Strasbourg, France
| | - Eric Garine
- UMR Lesc, Université Paris Nanterre, 92000 Nanterre, France
| | - Cédric Sueur
- IPHC, Université de Strasbourg, CNRS, UMR 7178, 67000 Strasbourg, France
- Institut Universitaire de France, 75005 Paris, France
- ANTHROPO-LAB, ETHICS EA 7446, Université Catholique de Lille, 59000 Lille, France
- Correspondence:
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Sergeyev M, Holbrook JD, Lombardi JV, Tewes ME, Campbell TA. Behaviorally mediated coexistence of ocelots, bobcats and coyotes using hidden Markov models. OIKOS 2022. [DOI: 10.1111/oik.09480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Maksim Sergeyev
- Caesar Kleberg Wildlife Research Inst., Texas A&M Univ. Kingsville Kingsville TX USA
| | - Joseph D. Holbrook
- Haub School of the Environment and Natural Resources, Univ. of Wyoming Laramie WY USA
| | - Jason V. Lombardi
- Caesar Kleberg Wildlife Research Inst., Texas A&M Univ. Kingsville Kingsville TX USA
| | - Michael E. Tewes
- Caesar Kleberg Wildlife Research Inst., Texas A&M Univ. Kingsville Kingsville TX USA
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Thorsen NH, Hansen JE, Støen OG, Kindberg J, Zedrosser A, Frank SC. Movement and habitat selection of a large carnivore in response to human infrastructure differs by life stage. MOVEMENT ECOLOGY 2022; 10:52. [PMID: 36447280 PMCID: PMC9706841 DOI: 10.1186/s40462-022-00349-y] [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: 02/16/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND The movement extent of mammals is influenced by human-modified areas, which can affect population demographics. Understanding how human infrastructure influences movement at different life stages is important for wildlife management. This is true especially for large carnivores, due to their substantial space requirements and potential for conflict with humans. METHODS We investigated human impact on movement and habitat selection by GPS-collared male brown bears (Ursus arctos) in two life stages (residents and dispersers) in central Sweden. We identified dispersers visually based on their GPS locations and used hidden Markov models to delineate dispersal events. We used integrated step selection analysis (iSSA) to infer movement and habitat selection at a local scale (availability defined by hourly relocations), and resource selection functions (RSFs) to infer habitat selection at a landscape scale (availability defined by the study area extent). RESULTS Movement of residents on a local scale was facilitated by small forestry roads as they moved faster and selected areas closer to forestry roads, and they avoided areas closer to larger public roads and buildings on both scales. Dispersers were more ambivalent in their response to human infrastructure. Dispersers increased their speed closer to small forestry roads and larger public roads, did not exhibit selection for or against any road class, and avoided areas closer to buildings only at local scale. Dispersers did not select for any features on the landscape, which is likely explained by the novelty of the landscape or their naivety towards it. CONCLUSION Our results show that movement in male brown bears is life stage-dependent and indicate that connectivity maps derived from movement data of dispersing animals may provide more numerous and more realistic pathways than those derived from resident animal data alone. This suggests that data from dispersing animals provide more realistic models for reconnecting populations and maintaining connectivity than if data were derived from resident animals alone.
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Affiliation(s)
- N H Thorsen
- Norwegian Institute for Nature Research, Oslo, Norway.
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway.
| | - J E Hansen
- Faculty of Technology, Natural Sciences and Maritime Sciences, University of South-Eastern Norway, Bø, Telemark, Norway
| | - O-G Støen
- Norwegian Institute for Nature Research, Oslo, Norway
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - J Kindberg
- Norwegian Institute for Nature Research, Oslo, Norway
- Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - A Zedrosser
- Faculty of Technology, Natural Sciences and Maritime Sciences, University of South-Eastern Norway, Bø, Telemark, Norway.
- Department of Integrative Biology, Institute of Wildlife Biology and Game Management, University of Natural Resources and Applied Life Sciences, Vienna, Austria.
| | - S C Frank
- Faculty of Technology, Natural Sciences and Maritime Sciences, University of South-Eastern Norway, Bø, Telemark, Norway
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Quillfeldt P, Bange A, Boutet A, Orben RA, Baylis AMM. Breeding Thin-Billed Prions Use Marine Habitats Ranging from Inshore to Distant Antarctic Waters. Animals (Basel) 2022; 12:ani12223131. [PMID: 36428358 PMCID: PMC9686775 DOI: 10.3390/ani12223131] [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: 09/30/2022] [Revised: 10/31/2022] [Accepted: 11/01/2022] [Indexed: 11/15/2022] Open
Abstract
Pelagic seabirds cover large distances efficiently and thus may reach a variety of marine habitats during breeding. Previous studies using stable isotope data and geolocators suggested that Thin-billed Prions breeding in the Falkland Islands in the Southwest Atlantic may forage in temperate waters over the Patagonian Shelf or cross the Drake Passage to forage in Antarctic waters south of the Polar Front. We deployed miniature GPS dataloggers to track Thin-billed prions in the Falkland Islands during incubation (3 seasons) and chick-rearing (2 seasons). Thin-billed Prions had a wide distribution during incubation, covering latitudes between 43 and 60° S, with trip lengths of ca. 2000 km over seven days, on average. Thin-billed Prions from two nearby sites (60 km apart) were spatially segregated in their incubation trips, with New Island Thin-billed Prions foraging over the Patagonian Shelf, compared to Thin-billed Prions from Bird Island, that foraged in the region of the Polar Front. During chick-rearing, Thin-billed Prions from New Island undertook both long trips to the Patagonian Shelf and south of the Polar Front (30% of trips were 5-11 days), and short trips (70% of trips were 1-4 days) when they foraged more locally, including in inshore waters around the Falkland Islands. Females carried out more trips to distant sites. Thus, Thin-billed showed a high flexibility in foraging areas, habitats and foraging trip durations, which enable them to benefit from both, temperate and Antarctic environments.
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Affiliation(s)
- Petra Quillfeldt
- Department of Animal Ecology & Systematics, Justus Liebig University Giessen, Heinrich-Buff-Ring 26, 35392 Giessen, Germany
- Correspondence:
| | - Andreas Bange
- Department of Animal Ecology & Systematics, Justus Liebig University Giessen, Heinrich-Buff-Ring 26, 35392 Giessen, Germany
| | - Aude Boutet
- Department of Animal Ecology & Systematics, Justus Liebig University Giessen, Heinrich-Buff-Ring 26, 35392 Giessen, Germany
| | - Rachael A. Orben
- Department of Fisheries, Wildlife, and Conservation Sciences, Hatfield Marine Science Center, Oregon State University, Newport, OR 97365, USA
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Husson L, Salles T, Lebatard AE, Zerathe S, Braucher R, Noerwidi S, Aribowo S, Mallard C, Carcaillet J, Natawidjaja DH, Bourlès D, Bourlès D, Keddadouche K. Javanese Homo erectus on the move in SE Asia circa 1.8 Ma. Sci Rep 2022; 12:19012. [PMID: 36347897 PMCID: PMC9643487 DOI: 10.1038/s41598-022-23206-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 10/26/2022] [Indexed: 11/11/2022] Open
Abstract
The migration of Homo erectus in Southeast Asia during Early Pleistocene is cardinal to our comprehension of the evolution of the genus Homo. However, the limited consideration of the rapidly changing physical environment, together with controversial datings of hominin bearing sites, make it challenging to secure the robust timeline needed to unveil the behavior of early humans. Here, we reappraise the first appearance datum of Javanese H. erectus by adding the most reliable age constraints based on cosmogenic nuclides [Formula: see text]Be and [Formula: see text]Al produced in situ to a compilation of earlier estimates. We find that H. erectus reached Java and dwelled at Sangiran, Java, ca. 1.8 Ma. Using this age as a baseline, we develop a probabilistic approach to reconstruct their dispersal routes, coupling ecological movement simulations to landscape evolution models forced by reconstructed geodynamic and climatic histories. We demonstrate that the hospitable terra firma conditions of Sundaland facilitated the prior dispersal of hominins to the edge of Java, where they conversely could not settle until the Javanese archipelago emerged from the sea and connected to Sundaland. The dispersal of H. erectus across Sundaland occurred over at least tens to hundreds kyr, a time scale over which changes in their physical environment, whether climatic or physiographic, may have become primary forcings on their behavior. Our comprehensive reconstruction method to unravel the peopling timeline of SE Asia provides a novel framework to evaluate the evolution of early humans.
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Affiliation(s)
- Laurent Husson
- grid.450307.50000 0001 0944 2786ISTerre, CNRS, IRD, Univ. Grenoble Alpes, 38000 Grenoble, France
| | - Tristan Salles
- grid.1013.30000 0004 1936 834XSchool of Geosciences, The University of Sydney, Sydney, NSW 2006 Australia
| | - Anne-Elisabeth Lebatard
- grid.5399.60000 0001 2176 4817CEREGE, Aix-Marseille Université CNRS-IRD-Collège de France-INRAE, Technopôle de l’Environnement Arbois-Méditerrannée, 13545 Aix-en-Provence, France
| | - Swann Zerathe
- grid.450307.50000 0001 0944 2786ISTerre, CNRS, IRD, Univ. Grenoble Alpes, 38000 Grenoble, France
| | - Régis Braucher
- grid.5399.60000 0001 2176 4817CEREGE, Aix-Marseille Université CNRS-IRD-Collège de France-INRAE, Technopôle de l’Environnement Arbois-Méditerrannée, 13545 Aix-en-Provence, France
| | - Sofwan Noerwidi
- Research Center for Archaeometry, National Research and Innovation Agency (BRIN), Jakarta, Indonesia
| | - Sonny Aribowo
- grid.450307.50000 0001 0944 2786ISTerre, CNRS, IRD, Univ. Grenoble Alpes, 38000 Grenoble, France ,Research Center for Geological Disasters, National Research and Innovation Agency (BRIN), Bandung, Indonesia
| | - Claire Mallard
- grid.1013.30000 0004 1936 834XSchool of Geosciences, The University of Sydney, Sydney, NSW 2006 Australia
| | - Julien Carcaillet
- grid.450307.50000 0001 0944 2786ISTerre, CNRS, IRD, Univ. Grenoble Alpes, 38000 Grenoble, France
| | - Danny H. Natawidjaja
- Research Center for Geological Disasters, National Research and Innovation Agency (BRIN), Bandung, Indonesia
| | - Didier Bourlès
- grid.5399.60000 0001 2176 4817CEREGE, Aix-Marseille Université CNRS-IRD-Collège de France-INRAE, Technopôle de l’Environnement Arbois-Méditerrannée, 13545 Aix-en-Provence, France
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Gloaguen P, Le Corff S, Olsson J. A pseudo-marginal sequential Monte Carlo online smoothing algorithm. BERNOULLI 2022. [DOI: 10.3150/21-bej1431] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
| | | | - Jimmy Olsson
- KTH Royal Institute of Technology, Stockholm, Sweden
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The First 3 Years: Movements of Reintroduced Plains Bison (Bison bison bison) in Banff National Park. DIVERSITY 2022. [DOI: 10.3390/d14100883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
We assessed 3 years of post-release movements of a reintroduced plains bison (Bison bison bison) population for evidence of anchoring, settling, exploratory and adaptive behavior within a 1200 km2 target reintroduction zone in Banff National Park. We first held them in a soft-release pasture for 18 months, then partially constrained their movements with drift fences and hazing trials to discourage excursions from a 1200 km2 target reintroduction zone. Their post-release movements were within 13 km of the soft-release pasture for the first 3 months, but management interventions were needed to keep the animals within 29 km of the release site and inside the reintroduction zone for the remainder of the 3-year study period. Bison exploration was high in the first year but decreased thereafter, as did the size of their annual home range. Step lengths did not decrease but the frequency of “surge movements” (step lengths > 4 km in 2 h) did. Fence visits did not decrease over time but the need to herd/haze the bison from other, unfenced boundary areas did. The reintroduced bison seasonally selected for rugged, high-elevation habitat despite being translocated from a flat landscape. Our results suggest wild bison reintroductions to areas of just a few hundred square kilometres are possible without perimeter fencing, so long as good habitat and management interventions to discourage broad movements are in place. Trends suggest such interventions will need to continue in Banff until the bison range can be expanded and/or bison movements are constrained by other forces, such as regulated hunting outside the park.
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McClintock BT, Abrahms B, Chandler RB, Conn PB, Converse SJ, Emmet RL, Gardner B, Hostetter NJ, Johnson DS. An integrated path for spatial capture-recapture and animal movement modeling. Ecology 2022; 103:e3473. [PMID: 34270790 PMCID: PMC9786756 DOI: 10.1002/ecy.3473] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/25/2021] [Accepted: 03/15/2021] [Indexed: 12/30/2022]
Abstract
Ecologists and conservation biologists increasingly rely on spatial capture-recapture (SCR) and movement modeling to study animal populations. Historically, SCR has focused on population-level processes (e.g., vital rates, abundance, density, and distribution), whereas animal movement modeling has focused on the behavior of individuals (e.g., activity budgets, resource selection, migration). Even though animal movement is clearly a driver of population-level patterns and dynamics, technical and conceptual developments to date have not forged a firm link between the two fields. Instead, movement modeling has typically focused on the individual level without providing a coherent scaling from individual- to population-level processes, whereas SCR has typically focused on the population level while greatly simplifying the movement processes that give rise to the observations underlying these models. In our view, the integration of SCR and animal movement modeling has tremendous potential for allowing ecologists to scale up from individuals to populations and advancing the types of inferences that can be made at the intersection of population, movement, and landscape ecology. Properly accounting for complex animal movement processes can also potentially reduce bias in estimators of population-level parameters, thereby improving inferences that are critical for species conservation and management. This introductory article to the Special Feature reviews recent advances in SCR and animal movement modeling, establishes a common notation, highlights potential advantages of linking individual-level (Lagrangian) movements to population-level (Eulerian) processes, and outlines a general conceptual framework for the integration of movement and SCR models. We then identify important avenues for future research, including key challenges and potential pitfalls in the developments and applications that lie ahead.
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Affiliation(s)
- Brett T. McClintock
- Marine Mammal LaboratoryNOAA‐NMFS Alaska Fisheries Science CenterSeattleWashingtonUSA
| | - Briana Abrahms
- Department of BiologyUniversity of WashingtonLife Sciences Building, Box 351800SeattleWashingtonUSA
| | - Richard B. Chandler
- Warnell School of Forestry and Natural ResourcesUniversity of Georgia180 E. Green St.AthensGeorgiaUSA
| | - Paul B. Conn
- Marine Mammal LaboratoryNOAA‐NMFS Alaska Fisheries Science CenterSeattleWashingtonUSA
| | - Sarah J. Converse
- U.S. Geological SurveyWashington Cooperative Fish and Wildlife Research UnitSchool of Environmental and Forest Sciences & School of Aquatic and Fishery SciencesUniversity of WashingtonBox 355020SeattleWashingtonUSA
| | - Robert L. Emmet
- Quantitative Ecology and Resource ManagementUniversity of WashingtonSeattleWashingtonUSA
| | - Beth Gardner
- School of Environmental and Forest SciencesUniversity of WashingtonSeattleWashingtonUSA
| | - Nathan J. Hostetter
- Washington Cooperative Fish and Wildlife Research UnitSchool of Aquatic and Fishery SciencesUniversity of WashingtonSeattleWashingtonUSA
| | - Devin S. Johnson
- Marine Mammal LaboratoryNOAA‐NMFS Alaska Fisheries Science CenterSeattleWashingtonUSA
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30
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Glass DM, Prentice PR, Evans AD, Schmitz OJ. Local differences in maximum temperature determine water use among desert bighorn sheep populations. J Wildl Manage 2022. [DOI: 10.1002/jwmg.22313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Danielle M. Glass
- Yale University School of the Environment 370 Prospect Street New Haven CT 06511 USA
| | - Paige R. Prentice
- California Department of Fish and Wildlife 787 N Main Street Bishop CA 93514 USA
| | - Ashley D. Evans
- California Department of Fish and Wildlife 787 N Main Street Bishop CA 93514 USA
| | - Oswald J. Schmitz
- Yale University School of the Environment 370 Prospect Street New Haven CT 06511 USA
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31
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Mastrantonio G. Modeling animal movement with directional persistence and attractive points. Ann Appl Stat 2022. [DOI: 10.1214/21-aoas1584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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32
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Peterson SH, Ackerman JT, Keating MP, Schacter CR, Hartman CA, Casazza ML, Herzog MP. Predator movements in relation to habitat features reveal vulnerability of duck nests to predation. Ecol Evol 2022; 12:e9329. [PMID: 36188493 PMCID: PMC9487884 DOI: 10.1002/ece3.9329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 08/19/2022] [Accepted: 08/30/2022] [Indexed: 11/07/2022] Open
Abstract
Nest predation is the main cause of nest failure for ducks. Understanding how habitat features influence predator movements may facilitate management of upland and wetland breeding habitats that reduces predator encounter rates with duck nests and increases nest survival rates. For 1618 duck nests, nest survival increased with distance to phragmites (Phragmites australis), shrubs, telephone poles, human structures, and canals, but not for four other habitat features. Using GPS collars, we tracked 25 raccoons (Procyon lotor) and 16 striped skunks (Mephitis mephitis) over 4 years during waterfowl breeding and found marked differences in how these predators were located relative to specific habitat features; moreover, the probability of duck nests being encountered by predators differed by species. Specifically, proximity to canals, wetlands, trees, levees/roads, human structures, shrubs, and telephone poles increased the likelihood of a nest being encountered by collared raccoons. For collared skunks, nests were more likely to be encountered if they were closer to canals, trees, and shrubs, and farther from wetlands and human structures. Most predator encounters with duck nests were attributable to a few individuals; 29.2% of raccoons and 38.5% of skunks were responsible for 95.6% of total nest encounters. During the central span of duck nesting (April 17–June 14: 58 nights), these seven raccoons and five skunks encountered >1 nest on 50.8 ± 29.2% (mean ± SD) and 41.5 ± 28.3% of nights, respectively, and of those nights individual raccoons and skunks averaged 2.60 ± 1.28 and 2.50 ± 1.09 nest encounters/night, respectively. For collared predators that encountered >1 nest, a higher proportion of nests encountered by skunks had evidence of predation (51.9 ± 26.6%) compared to nests encountered by raccoons (22.3 ± 17.1%). Because duck eggs were most likely consumed as raccoons and skunks opportunistically discovered nests, managing the habitat features those predators most strongly associated with could potentially reduce rates of egg predation.
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Affiliation(s)
- Sarah H. Peterson
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - Joshua T. Ackerman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - Meghan P. Keating
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - Carley R. Schacter
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - C. Alex Hartman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - Michael L. Casazza
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - Mark P. Herzog
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
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33
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Jouanneau W, Sebastiano M, Rozen-Rechels D, Harris SM, Blévin P, Angelier F, Brischoux F, Gernigon J, Lemesle JC, Robin F, Cherel Y, Bustamante P, Chastel O. Blood mercury concentrations in four sympatric gull species from South Western France: Insights from stable isotopes and biologging. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 308:119619. [PMID: 35709917 DOI: 10.1016/j.envpol.2022.119619] [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: 01/11/2022] [Revised: 06/10/2022] [Accepted: 06/12/2022] [Indexed: 06/15/2023]
Abstract
Mercury (Hg) is a toxic trace element widely distributed in the environment, which particularly accumulates in top predators, including seabirds. Among seabirds, large gulls (Larus sp) are generalist feeders, foraging in both terrestrial and marine habitats, making them relevant bioindicators of local coastal Hg contamination. In the present study, we reported blood Hg concentrations in adults and chicks of four different gull species breeding on the French Atlantic coast: the European herring gull (Larus argentatus), the Lesser black-backed gull (L. fuscus), the Great black-backed gull (L. marinus) and the Yellow-legged gull (L. michahellis). We also investigated the potential role of foraging ecology in shaping Hg contamination across species, using the unique combination of three dietary tracers (carbon, nitrogen and sulfur stable isotopes) and biologging (GPS tracking). A high concentration of Hg was associated with high trophic position and a marine diet in gulls, which was corroborated by birds' space use strategy during foraging trips. Adults of all four species reached Hg concentrations above reported toxicity thresholds. Specifically, adults of Great black-backed gulls had a high trophic marine specialized diet and significantly higher Hg concentrations than the three other species. Blood Hg was 4-7 times higher in adults than in chicks, although chicks of all species received mainly marine and high trophic position prey, which is expected to be the cause of blood Hg concentrations of toxic concern. By using both stable isotopes and GPS tracking, the present study provides compelling insights on the main feeding habits driving Hg contamination in a seabird assemblage feeding in complex coastal environments.
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Affiliation(s)
- William Jouanneau
- Centre d'Etudes Biologiques de Chizé (CEBC), UMR 7372 CNRS & La Rochelle Université, 79360, Villiers-en-Bois, France.
| | - Manrico Sebastiano
- Unité Physiologie Moléculaire et Adaptation, Muséum National d'Histoire Naturelle, UMR 7221 CNRS/MNHN, 7 Rue Cuvier, 75005, Paris, France; Behavioural Ecology and Ecophysiology Group, University of Antwerp, Antwerp, Belgium
| | - David Rozen-Rechels
- Sorbonne Université, CNRS, IRD, INRAE, Université Paris Est Créteil, Institut d'écologie et des Sciences de l'environnement de Paris (iEES-Paris), Paris, France
| | - Stephanie M Harris
- School of Ocean Sciences, College of Environmental Science and Engineering, Bangor University, Menai Bridge, LL59 5AB, United Kingdom; Cornell Lab of Ornithology, Cornell University, 159 Sapsucker Woods Road, Ithaca, USA
| | - Pierre Blévin
- Centre d'Etudes Biologiques de Chizé (CEBC), UMR 7372 CNRS & La Rochelle Université, 79360, Villiers-en-Bois, France; Akvaplan-niva AS, Fram Centre, P.O. Box 6606 Langnes, 9296, Tromsø, Norway
| | - Frédéric Angelier
- Centre d'Etudes Biologiques de Chizé (CEBC), UMR 7372 CNRS & La Rochelle Université, 79360, Villiers-en-Bois, France
| | - François Brischoux
- Centre d'Etudes Biologiques de Chizé (CEBC), UMR 7372 CNRS & La Rochelle Université, 79360, Villiers-en-Bois, France
| | - Julien Gernigon
- Ligue pour la Protection des Oiseaux (LPO), 17300, Rochefort, France
| | | | - Frédéric Robin
- Ligue pour la Protection des Oiseaux (LPO), 17300, Rochefort, France
| | - Yves Cherel
- Centre d'Etudes Biologiques de Chizé (CEBC), UMR 7372 CNRS & La Rochelle Université, 79360, Villiers-en-Bois, France
| | - Paco Bustamante
- Littoral Environnement et Sociétés, LIENSs, Univ. La Rochelle, CNRS, 17000, La Rochelle, France; Institut Universitaire de France (IUF), 1 Rue Descartes, 75005, Paris, France
| | - Olivier Chastel
- Centre d'Etudes Biologiques de Chizé (CEBC), UMR 7372 CNRS & La Rochelle Université, 79360, Villiers-en-Bois, France
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Fahlbusch JA, Czapanskiy MF, Calambokidis J, Cade DE, Abrahms B, Hazen EL, Goldbogen JA. Blue whales increase feeding rates at fine-scale ocean features. Proc Biol Sci 2022; 289:20221180. [PMID: 35975432 PMCID: PMC9382224 DOI: 10.1098/rspb.2022.1180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Marine predators face the challenge of reliably finding prey that is patchily distributed in space and time. Predators make movement decisions at multiple spatial and temporal scales, yet we have a limited understanding of how habitat selection at multiple scales translates into foraging performance. In the ocean, there is mounting evidence that submesoscale (i.e. less than 100 km) processes drive the formation of dense prey patches that should hypothetically provide feeding hot spots and increase predator foraging success. Here, we integrated environmental remote-sensing with high-resolution animal-borne biologging data to evaluate submesoscale surface current features in relation to the habitat selection and foraging performance of blue whales in the California Current System. Our study revealed a consistent functional relationship in which blue whales disproportionately foraged within dynamic aggregative submesoscale features at both the regional and feeding site scales across seasons, regions and years. Moreover, we found that blue whale feeding rates increased in areas with stronger aggregative features, suggesting that these features indicate areas of higher prey density. The use of fine-scale, dynamic features by foraging blue whales underscores the need to take these features into account when designating critical habitat and may help inform strategies to mitigate the impacts of human activities for the species.
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Affiliation(s)
- James A. Fahlbusch
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA,Cascadia Research Collective, Olympia, WA, USA
| | - Max F. Czapanskiy
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | | | - David E. Cade
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | - Briana Abrahms
- Center for Ecosystem Sentinels, Department of Biology, University of Washington, Seattle, WA, USA
| | - Elliott L. Hazen
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA,Environmental Research Division, NOAA Southwest Fisheries Science Center, Monterey, CA, USA
| | - Jeremy A. Goldbogen
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
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Insectivorous bats form mobile sensory networks to optimize prey localization: The case of the common noctule bat. Proc Natl Acad Sci U S A 2022; 119:e2203663119. [PMID: 35939677 PMCID: PMC9388074 DOI: 10.1073/pnas.2203663119] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Animals that depend on ephemeral, patchily distributed prey often use public information to locate resource patches. The use of public information can lead to the aggregation of foragers at prey patches, a mechanism known as local enhancement. However, when ephemeral resources are distributed over large areas, foragers may also need to increase search efficiency, and thus apply social strategies when sampling the landscape. While sensory networks of visually oriented animals have already been confirmed, we lack an understanding of how acoustic eavesdropping adds to the formation of sensory networks. Here we radio-tracked a total of 81 aerial-hawking bats at very high spatiotemporal resolution during five sessions over 3 y, recording up to 19 individuals simultaneously. Analyses of interactive flight behavior provide conclusive evidence that bats form temporary mobile sensory networks by adjusting their movements to neighboring conspecifics while probing the airspace for prey. Complementary agent-based simulations confirmed that the observed movement patterns can lead to the formation of mobile sensory networks, and that bats located prey faster when networking than when relying only on local enhancement or searching solitarily. However, the benefit of networking diminished with decreasing group size. The combination of empirical analyses and simulations elucidates how animal groups use acoustic information to efficiently locate unpredictable and ephemeral food patches. Our results highlight that declining local populations of social foragers may thus suffer from Allee effects that increase the risk of collapses under global change scenarios, like insect decline and habitat degradation.
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36
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Prima MC, Duchesne T, Merkle JA, Chamaillé-Jammes S, Fortin D. Multi-mode movement decisions across widely ranging behavioral processes. PLoS One 2022; 17:e0272538. [PMID: 35951664 PMCID: PMC9371300 DOI: 10.1371/journal.pone.0272538] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 07/20/2022] [Indexed: 11/18/2022] Open
Abstract
Movement of organisms plays a fundamental role in the evolution and diversity of life. Animals typically move at an irregular pace over time and space, alternating among movement states. Understanding movement decisions and developing mechanistic models of animal distribution dynamics can thus be contingent to adequate discrimination of behavioral phases. Existing methods to disentangle movement states typically require a follow-up analysis to identify state-dependent drivers of animal movement, which overlooks statistical uncertainty that comes with the state delineation process. Here, we developed population-level, multi-state step selection functions (HMM-SSF) that can identify simultaneously the different behavioral bouts and the specific underlying behavior-habitat relationship. Using simulated data and relocation data from mule deer (Odocoileus hemionus), plains bison (Bison bison bison) and plains zebra (Equus quagga), we illustrated the HMM-SSF robustness, versatility, and predictive ability for animals involved in distinct behavioral processes: foraging, migrating and avoiding a nearby predator. Individuals displayed different habitat selection pattern during the encamped and the travelling phase. Some landscape attributes switched from being selected to avoided, depending on the movement phase. We further showed that HMM-SSF can detect multi-modes of movement triggered by predators, with prey switching to the travelling phase when predators are in close vicinity. HMM-SSFs thus can be used to gain a mechanistic understanding of how animals use their environment in relation to the complex interplay between their needs to move, their knowledge of the environment and navigation capacity, their motion capacity and the external factors related to landscape heterogeneity.
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Affiliation(s)
| | - Thierry Duchesne
- Department of Mathematics and Statistics, Université Laval, Québec, QC, Canada
| | - Jerod A. Merkle
- Wyoming Cooperative Fish and Wildlife Research Unit, Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming, United States of America
| | - Simon Chamaillé-Jammes
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
- Mammal Research Institute, Department of Zoology & Entomology, University of Pretoria, Pretoria, South Africa
- LTSER France, Zone Atelier “Hwange”, Hwange National Park, Dete, Zimbabwe
| | - Daniel Fortin
- Department of Biology, Université Laval, Québec, QC, Canada
- * E-mail:
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Dougherty ER, Seidel DP, Blackburn JK, Turner WC, Getz WM. A framework for integrating inferred movement behavior into disease risk models. MOVEMENT ECOLOGY 2022; 10:31. [PMID: 35871637 PMCID: PMC9310477 DOI: 10.1186/s40462-022-00331-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
Movement behavior is an important contributor to habitat selection and its incorporation in disease risk models has been somewhat neglected. The habitat preferences of host individuals affect their probability of exposure to pathogens. If preference behavior can be incorporated in ecological niche models (ENMs) when data on pathogen distributions are available, then variation in such behavior may dramatically impact exposure risk. Here we use data from the anthrax endemic system of Etosha National Park, Namibia, to demonstrate how integrating inferred movement behavior alters the construction of disease risk maps. We used a Maximum Entropy (MaxEnt) model that associated soil, bioclimatic, and vegetation variables with the best available pathogen presence data collected at anthrax carcass sites to map areas of most likely Bacillus anthracis (the causative bacterium of anthrax) persistence. We then used a hidden Markov model (HMM) to distinguish foraging and non-foraging behavioral states along the movement tracks of nine zebra (Equus quagga) during the 2009 and 2010 anthrax seasons. The resulting tracks, decomposed on the basis of the inferred behavioral state, formed the basis of step-selection functions (SSFs) that used the MaxEnt output as a potential predictor variable. Our analyses revealed different risks of exposure during different zebra behavioral states, which were obscured when the full movement tracks were analyzed without consideration of the underlying behavioral states of individuals. Pathogen (or vector) distribution models may be misleading with regard to the actual risk faced by host animal populations when specific behavioral states are not explicitly accounted for in selection analyses. To more accurately evaluate exposure risk, especially in the case of environmentally transmitted pathogens, selection functions could be built for each identified behavioral state and then used to assess the comparative exposure risk across relevant states. The scale of data collection and analysis, however, introduces complexities and limitations for consideration when interpreting results.
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Affiliation(s)
- Eric R. Dougherty
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, CA USA
| | - Dana P. Seidel
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, CA USA
| | - Jason K. Blackburn
- Spatial Epidemiology and Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, FL USA
- Emerging Pathogens Institute, University of Florida, Gainesville, FL USA
| | - Wendy C. Turner
- U.S. Geological Survey, Wisconsin Cooperative Wildlife Research Unit, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI USA
| | - Wayne M. Getz
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, CA USA
- School of Mathematical Sciences, University of KwaZulu-Natal, Durban, South Africa
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Benowitz-Fredericks ZM, Lacey LM, Whelan S, Will AP, Hatch SA, Kitaysky AS. Telomere length correlates with physiological and behavioural responses of a long-lived seabird to an ecologically relevant challenge. Proc Biol Sci 2022; 289:20220139. [PMID: 35858061 PMCID: PMC9277278 DOI: 10.1098/rspb.2022.0139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Determinants of individual variation in reallocation of limited resources towards self-maintenance versus reproduction are not well known. We tested the hypothesis that individual heterogeneity in long-term 'somatic state' (i) explains variation in endocrine and behavioural responses to environmental challenges, and (ii) is associated with variation in strategies for allocating to self-maintenance versus reproduction. We used relative telomere length as an indicator of somatic state and experimentally generated an abrupt short-term reduction of food availability (withdrawal of food supplementation) for free-living seabirds (black-legged kittiwakes, Rissa tridactyla). Incubating male kittiwakes responded to withdrawal by increasing circulating corticosterone and losing more weight compared to continuously supplemented controls. Males with longer telomeres increased time in directed travel regardless of treatment, while experiencing smaller increases in corticosterone. Males with longer telomeres fledged more chicks in the control group and tended to be more likely to return regardless of treatment. This study supports the hypothesis that somatic state can explain variation in short-term physiological and behavioural responses to challenges, and longer-term consequences for fitness. Male kittiwakes with longer telomeres appear to have prioritized investment in self over investment in offspring under challenging conditions.
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Affiliation(s)
| | - L. M. Lacey
- Department of Biology, Bucknell University, Lewisburg, PA, USA
| | - S. Whelan
- Department of Natural Resources Sciences, McGill University, Ste-Anne-de-Bellevue, Quebec, Canada
| | - A. P. Will
- Institute of Arctic Biology, Department of Biology and Wildlife, University of Alaska Fairbanks, Fairbanks, AK, USA,Bioscience Group, National Institute of Polar Research Japan, 10-3, Midori-cho, Tachikawa, Tokyo 190-8518, Japan
| | - S. A. Hatch
- Institute for Seabird Research and Conservation, Anchorage, AK, USA
| | - A. S. Kitaysky
- Institute of Arctic Biology, Department of Biology and Wildlife, University of Alaska Fairbanks, Fairbanks, AK, USA
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Krull M, Newman MC. Joint Effects of Fragmentation and Mercury Contamination on Marsh Periwinkle (Littoraria irrorata) Movement. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2022; 41:1742-1753. [PMID: 35474589 DOI: 10.1002/etc.5351] [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: 02/03/2022] [Revised: 03/07/2022] [Accepted: 04/20/2022] [Indexed: 06/14/2023]
Abstract
There are different ways contaminants can interact and enhance the effects of habitat fragmentation, such as modifying the movement of organisms. The present study tested the hypothesis that mercury exacerbates the effects of fragmentation by affecting the movement of the marsh periwinkle Littoraria irrorata and reducing the probability of snails crossing fragmented microlandscape experimental systems. How these changes could affect the search efficiency of organisms in the long term was assessed using hidden Markov models and random walks simulations. Bayesian nonlinear models were used to analyze the effects of fragmentation and contamination on the mean speed and mean directional change of organisms. Snail movement for control and two mercury-exposure treatments were recorded in microlandscapes with six different levels of habitat cover and three landscape replicates. The results indicated that exposed organisms had lower probabilities of crossing the landscape, reduced speed, and shifts in step length distributions. Both mercury exposure and habitat fragmentation affected the movement of the marsh periwinkle. Mercury exacerbated the effects of habitat fragmentation by affecting the cognition (e.g., route planning, orientation, and spatial learning) and movement of L. irrorata. Hence, the interaction of these stressors could further reduce the functional connectivity of landscapes and reduce the search efficiency of organisms. Environ Toxicol Chem 2022;41:1742-1753. © 2022 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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Affiliation(s)
- Marcos Krull
- Virginia Institute of Marine Science, William & Mary, Gloucester Point, Virginia, USA
- Data Analysis & Simulation, Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany
| | - Michael C Newman
- Virginia Institute of Marine Science, William & Mary, Gloucester Point, Virginia, USA
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Balouch S, Driscoll DA, Naseer A, Rais M, Doherty TS. Impacts of land cover on reptile movement and habitat use in farming landscapes. Anim Conserv 2022. [DOI: 10.1111/acv.12789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- S. Balouch
- Centre of Integrative Ecology, School of Life and Environmental Sciences Deakin University Burwood VIC Australia
| | - D. A. Driscoll
- Centre of Integrative Ecology, School of Life and Environmental Sciences Deakin University Burwood VIC Australia
| | - A. Naseer
- Department of Wildlife Management, Faculty of Forestry, Range Management and Wildlife Pir Mehr Ali Shah Arid Agriculture University Rawalpindi Pakistan
| | - M. Rais
- Department of Wildlife Management, Faculty of Forestry, Range Management and Wildlife Pir Mehr Ali Shah Arid Agriculture University Rawalpindi Pakistan
| | - T. S. Doherty
- Centre of Integrative Ecology, School of Life and Environmental Sciences Deakin University Burwood VIC Australia
- School of Life and Environmental Sciences The University of Sydney Sydney NSW Australia
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Reusch C, Lozar M, Kramer-Schadt S, Voigt CC. Coastal onshore wind turbines lead to habitat loss for bats in Northern Germany. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 310:114715. [PMID: 35240570 DOI: 10.1016/j.jenvman.2022.114715] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/23/2022] [Accepted: 02/09/2022] [Indexed: 06/14/2023]
Abstract
Wind energy production is particularly rewarding along coastlines, yet coastlines are often important as migratory corridors for wildlife. This creates a conflict between energy production from renewable sources and conservation goals, which needs to be considered during environmental planning. To shed light on the spatial interactions of a high collision risk bat species with coastal wind turbines (WT), we analysed 32 tracks of 11 common noctule bats (Nyctalus noctula) in Northern Germany with miniaturized global positioning system units yielding 6266 locations. We used three spatial models to infer on the preferred and avoided landscape features in interaction with WT. We found 3.4% of all locations close to WT, with bats preferring areas with high levels of impervious surface, identified as farmhouses. Common noctule bats were also more present close to WT adjacent to paths and waterbodies. At the local scale, >70% of common noctule bats avoided WT, yet if bats approached WT we counted more positions at large WT, specifically close to known roosts. Our study highlights that coastal WT should not be placed next to feeding grounds and bat roosts. Additionally, avoidance of WT by bats indicates that foraging bats may suffer from habitat loss in coastal landscapes with high turbine densities. To mitigate the conflict between wind energy power production and conservation goals at coastal sites, wind turbines should be placed at distance to habitat features preferred by bats and turbine densities should be limited.
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Affiliation(s)
- Christine Reusch
- Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Str. 17, 10315, Berlin, Germany.
| | - Maja Lozar
- Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Str. 17, 10315, Berlin, Germany; Institute of Biology, Free University of Berlin, Takustr. 6, 14195, Berlin, Germany.
| | - Stephanie Kramer-Schadt
- Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Str. 17, 10315, Berlin, Germany; Institute of Ecology, Technische Universität Berlin, Rothenburgstr. 12, 12165, Berlin, Germany.
| | - Christian C Voigt
- Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Str. 17, 10315, Berlin, Germany.
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Mastrantonio G. The modelling of movement of multiple animals that share behavioural features. J R Stat Soc Ser C Appl Stat 2022. [DOI: 10.1111/rssc.12561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Whittington J, Hebblewhite M, Baron RW, Ford AT, Paczkowski J. Towns and trails drive carnivore movement behaviour, resource selection, and connectivity. MOVEMENT ECOLOGY 2022; 10:17. [PMID: 35395833 PMCID: PMC8994267 DOI: 10.1186/s40462-022-00318-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/28/2022] [Indexed: 06/05/2023]
Abstract
BACKGROUND Global increases in human activity threaten connectivity of animal habitat and populations. Protection and restoration of wildlife habitat and movement corridors require robust models to forecast the effects of human activity on movement behaviour, resource selection, and connectivity. Recent research suggests that animal resource selection and responses to human activity depend on their behavioural movement state, with increased tolerance for human activity in fast states of movement. Yet, few studies have incorporated state-dependent movement behaviour into analyses of Merriam connectivity, that is individual-based metrics of connectivity that incorporate landscape structure and movement behaviour. METHODS We assessed the cumulative effects of anthropogenic development on multiple movement processes including movement behaviour, resource selection, and Merriam connectivity. We simulated movement paths using hidden Markov movement models and step selection functions to estimate habitat use and connectivity for three landscape scenarios: reference conditions with no anthropogenic development, current conditions, and future conditions with a simulated expansion of towns and recreational trails. Our analysis used 20 years of grizzly bear (Ursus arctos) and gray wolf (Canis lupus) movement data collected in and around Banff National Park, Canada. RESULTS Carnivores increased their speed of travel near towns and areas of high trail and road density, presumably to avoid encounters with people. They exhibited stronger avoidance of anthropogenic development when foraging and resting compared to travelling and during the day compared to night. Wolves exhibited stronger avoidance of anthropogenic development than grizzly bears. Current development reduced the amount of high-quality habitat between two mountain towns by more than 35%. Habitat degradation constrained movement routes around towns and was most pronounced for foraging and resting behaviour. Current anthropogenic development reduced connectivity from reference conditions an average of 85%. Habitat quality and connectivity further declined under a future development scenario. CONCLUSIONS Our results highlight the cumulative effects of anthropogenic development on carnivore movement behaviour, habitat use, and connectivity. Our strong behaviour-specific responses to human activity suggest that conservation initiatives should consider how proposed developments and restoration actions would affect where animals travel and how they use the landscape.
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Affiliation(s)
- Jesse Whittington
- Park Canada, Banff National Park Resource Conservation, PO Box 900, Banff, AB T1L 1K2 Canada
| | - Mark Hebblewhite
- Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, W.A. Franke College of Forestry and Conservation, University of Montana, 32 Campus Drive, Missoula, MT 59801 USA
| | - Robin W. Baron
- Park Canada, Banff National Park Resource Conservation, PO Box 900, Banff, AB T1L 1K2 Canada
| | - Adam T. Ford
- Department of Biology, Faculty of Science, University of British Columbia, Kelowna, BC V1V 1V7 Canada
| | - John Paczkowski
- Alberta Environment and Parks, Kananaskis Region, 201, 800 Railway Avenue, Canmore, AB T1W 1P1 Canada
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Ferreira EM, Valerio F, Medinas D, Fernandes N, Craveiro J, Costa P, Silva JP, Carrapato C, Mira A, Santos SM. Assessing behaviour states of a forest carnivore in a road-dominated landscape using Hidden Markov Models. NATURE CONSERVATION 2022. [DOI: 10.3897/natureconservation.47.72781] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Anthropogenic infrastructures and land-use changes are major threats to animal movements across heterogeneous landscapes. Yet, the behavioural consequences of such constraints remain poorly understood. We investigated the relationship between the behaviour of the Common genet (Genetta genetta) and road proximity, within a dominant mixed forest-agricultural landscape in southern Portugal, fragmented by roads. Specifically, we aimed to: (i) identify and characterise the behavioural states displayed by genets and related movement patterns; and (ii) understand how behavioural states are influenced by proximity to main paved roads and landscape features. We used a multivariate Hidden Markov Model (HMM) to characterise the fine-scale movements (10-min fixes GPS) of seven genets tracked during 187 nights (mean 27 days per individual) during the period 2016–2019, using distance to major paved roads and landscape features as predictors. Our findings indicated that genet’s movement patterns were composed of three basic behavioural states, classified as “resting” (short step-lengths [mean = 10.6 m] and highly tortuous), “foraging” (intermediate step-lengths [mean = 46.1 m] and with a wide range in turning angle) and “travelling” (longer step-lengths [mean = 113.7 m] and mainly linear movements). Within the genet’s main activity-period (17.00 h-08.00 h), the movement model predicts that genets spend 36.7% of their time travelling, 35.4% foraging and 28.0% resting. The probability of genets displaying the travelling state was highest in areas far away from roads (> 500 m), whereas foraging and resting states were more likely in areas relatively close to roads (up to 500 m). Landscape features also had a pronounced effect on behaviour state occurrence. More specifically, travelling was most likely to occur in areas with lower forest edge density and close to riparian habitats, while foraging was more likely to occur in areas with higher forest edge density and far away from riparian habitats. The results suggest that, although roads represent a behavioural barrier to the movement of genets, they also take advantage of road proximity as foraging areas. Our study demonstrates that the HMM approach is useful for disentangling movement behaviour and understanding how animals respond to roadsides and fragmented habitats. We emphasise that road-engaged stakeholders need to consider movement behaviour of genets when targeting management practices to maximise road permeability for wildlife.
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Albers JL, Steibel JP, Klingler RH, Ivan LN, Garcia-Reyero N, Carvan MJ, Murphy CA. Altered Larval Yellow Perch Swimming Behavior Due to Methylmercury and PCB126 Detected Using Hidden Markov Chain Models. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:3514-3523. [PMID: 35201763 DOI: 10.1021/acs.est.1c07505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Fish swimming behavior is a commonly measured response in aquatic ecotoxicology because behavior is considered a whole organism-level effect that integrates many sensory systems. Recent advancements in animal behavior models, such as hidden Markov chain models (HMM), suggest an improved analytical approach for toxicology. Using both new and traditional approaches, we examined the sublethal effects of PCB126 and methylmercury on yellow perch (YP) larvae (Perca flavescens) using three doses. Both approaches indicate larvae increase activity after exposure to either chemical. The middle methylmercury-dosed larvae showed multiple altered behavior patterns. First, larvae had a general increase in activity, typically performing more behavior states, more time swimming, and more swimming bouts per second. Second, when larvae were in a slow or medium swimming state, these larvae tended to switch between these states more often. Third, larvae swam slower during the swimming bouts. The upper PCB126-dosed larvae exhibited a higher proportion and a fast swimming state, but the total time spent swimming fast decreased. The middle PCB126-dosed larvae transitioned from fast to slow swimming states less often than the control larvae. These results indicate that developmental exposure to very low doses of these neurotoxicants alters YP larvae overall swimming behaviors, suggesting neurodevelopment alteration.
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Affiliation(s)
- Janice L Albers
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan 48824, United States
| | - Juan P Steibel
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan 48824, United States
| | - Rebekah H Klingler
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53204, United States
| | - Lori N Ivan
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan 48824, United States
| | - Natàlia Garcia-Reyero
- Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, Mississippi, 39180, United States
| | - Michael J Carvan
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53204, United States
| | - Cheryl A Murphy
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan 48824, United States
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Sen D. Particle filter efficiency under limited communication. Biometrika 2022. [DOI: 10.1093/biomet/asac015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Summary
Sequential Monte Carlo methods are typically not straightforward to implement on parallel architectures. This is because standard resampling schemes involve communication between all particles. The α-sequential Monte Carlo method was proposed recently as a potential solution to this which limits communication between particles. This limited communication is controlled through a sequence of stochastic matrices known as α-matrices. We study the influence of the communication structure on the convergence and stability properties of the resulting algorithms. In particular, we quantitatively show that the mixing properties of the α-matrices play an important role in the stability properties of the algorithm. Moreover, we prove that one can ensure good mixing properties by using randomized communication structures where each particle only communicates with a few neighbouring particles. The resulting algorithms converge at the usual Monte Carlo rate. This leads to efficient versions of distributed sequential Monte Carlo.
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Affiliation(s)
- Deborshee Sen
- Department of Mathematical Sciences, University of Bath, Claverton Down, Bath BA2 7AY, U.K
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47
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Nunes GT, Efe MA, Barreto CT, Gaiotto JV, Silva AB, Vilela F, Roy A, Bertrand S, Costa PG, Bianchini A, Bugoni L. Ecological trap for seabirds due to the contamination caused by the Fundão dam collapse, Brazil. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 807:151486. [PMID: 34742806 DOI: 10.1016/j.scitotenv.2021.151486] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 10/28/2021] [Accepted: 11/02/2021] [Indexed: 06/13/2023]
Abstract
Human-induced rapid environmental changes can disrupt habitat quality in the short term. A decrease in quality of habitats associated with preference for these over other available higher quality is referred as ecological trap. In 2015, the Fundão dam containing iron mining tailings, eastern Brazil, collapsed and released about 50 million cubic meters of metal-rich mud composed by Fe, As, Cd, Hg, Pb in three rivers and the adjacent continental shelf. The area is a foraging site for dozens of seabird and shorebird species. In this study, we used a dataset from before and after Fundão dam collapse containing information on at-sea distribution during foraging activities (biologging), dietary aspects (stable isotopes), and trace elements concentration in feathers and blood from three seabird species known to use the area as foraging site: Phaethon aethereus, Sula leucogaster, and Pterodroma arminjoniana. In general, a substantial change in foraging strategies was not detected, as seabirds remain using areas and food resources similar to those used before the dam collapse. However, concentration of non-essential elements increased (e.g., Cd and As) while essential elements decreased (e.g., Mn and Zn), suggesting that the prey are contaminated by trace elements from tailings. This scenario represents evidence of an ecological trap as seabirds did not change habitat use, even though it had its quality reduced by contamination. The sinking-resuspension dynamics of tailings deposited on the continental shelf can temporally increase seabird exposure to contaminants, which can promote deleterious effects on populations using the region as foraging sites in medium and long terms.
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Affiliation(s)
- Guilherme Tavares Nunes
- Centro de Estudos Costeiros, Limnológicos e Marinhos, Universidade Federal do Rio Grande do Sul, 95625-000 Imbé, RS, Brazil; Programa de Monitoramento da Biodiversidade Aquática, Rede Rio Doce Mar, Brazil.
| | - Márcio Amorim Efe
- Laboratório de Bioecologia e Conservação de Aves Neotropicais, Universidade Federal de Alagoas, 57072-900 Maceió, AL, Brazil; Programa de Monitoramento da Biodiversidade Aquática, Rede Rio Doce Mar, Brazil
| | - Cindy Tavares Barreto
- Laboratório de Aves Aquáticas e Tartarugas Marinhas, Universidade Federal do Rio Grande, 96203-900 Rio Grande, RS, Brazil; Programa de Monitoramento da Biodiversidade Aquática, Rede Rio Doce Mar, Brazil
| | - Juliana Vallim Gaiotto
- Laboratório de Aves Aquáticas e Tartarugas Marinhas, Universidade Federal do Rio Grande, 96203-900 Rio Grande, RS, Brazil; Programa de Monitoramento da Biodiversidade Aquática, Rede Rio Doce Mar, Brazil
| | - Aline Barbosa Silva
- Laboratório de Aves Aquáticas e Tartarugas Marinhas, Universidade Federal do Rio Grande, 96203-900 Rio Grande, RS, Brazil; Programa de Monitoramento da Biodiversidade Aquática, Rede Rio Doce Mar, Brazil
| | - Fiorella Vilela
- Centro de Estudos Costeiros, Limnológicos e Marinhos, Universidade Federal do Rio Grande do Sul, 95625-000 Imbé, RS, Brazil
| | - Amédée Roy
- IRD, MARBEC (Univ. Montpellier, Ifremer, CNRS, IRD), Centre de Recherche Halieutique Méditerranéenne et Tropicale, BP 171, 34203 Sète Cedex, France
| | - Sophie Bertrand
- IRD, MARBEC (Univ. Montpellier, Ifremer, CNRS, IRD), Centre de Recherche Halieutique Méditerranéenne et Tropicale, BP 171, 34203 Sète Cedex, France
| | - Patrícia Gomes Costa
- Laboratório de Determinações 2, Universidade Federal do Rio Grande, 96203-900 Rio Grande, RS, Brazil; Programa de Monitoramento da Biodiversidade Aquática, Rede Rio Doce Mar, Brazil
| | - Adalto Bianchini
- Laboratório de Determinações 2, Universidade Federal do Rio Grande, 96203-900 Rio Grande, RS, Brazil; Programa de Monitoramento da Biodiversidade Aquática, Rede Rio Doce Mar, Brazil
| | - Leandro Bugoni
- Laboratório de Aves Aquáticas e Tartarugas Marinhas, Universidade Federal do Rio Grande, 96203-900 Rio Grande, RS, Brazil; Programa de Monitoramento da Biodiversidade Aquática, Rede Rio Doce Mar, Brazil
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Whoriskey K, Baktoft H, Field C, Lennox RJ, Babyn J, Lawler E, Mills Flemming J. Predicting aquatic animal movements and behavioural states from acoustic telemetry arrays. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.13812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Kim Whoriskey
- Department of Statistics Dalhousie University Halifax Nova Scotia Canada
| | - Henrik Baktoft
- National Institute of Aquatic Resources Technical University of Denmark Silkeborg Denmark
| | - Chris Field
- Department of Statistics Dalhousie University Halifax Nova Scotia Canada
| | | | - Jonathan Babyn
- Department of Statistics Dalhousie University Halifax Nova Scotia Canada
| | - Ethan Lawler
- Department of Statistics Dalhousie University Halifax Nova Scotia Canada
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Bergen S, Huso MM, Duerr AE, Braham MA, Katzner TE, Schmuecker S, Miller TA. Classifying behavior from short-interval biologging data: An example with GPS tracking of birds. Ecol Evol 2022; 12:e08395. [PMID: 35154643 PMCID: PMC8819645 DOI: 10.1002/ece3.8395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 10/28/2021] [Accepted: 11/03/2021] [Indexed: 11/17/2022] Open
Abstract
Recent advances in digital data collection have spurred accumulation of immense quantities of data that have potential to lead to remarkable ecological insight, but that also present analytic challenges. In the case of biologging data from birds, common analytical approaches to classifying movement behaviors are largely inappropriate for these massive data sets.We apply a framework for using K-means clustering to classify bird behavior using points from short time interval GPS tracks. K-means clustering is a well-known and computationally efficient statistical tool that has been used in animal movement studies primarily for clustering segments of consecutive points. To illustrate the utility of our approach, we apply K-means clustering to six focal variables derived from GPS data collected at 1-11 s intervals from free-flying bald eagles (Haliaeetus leucocephalus) throughout the state of Iowa, USA. We illustrate how these data can be used to identify behaviors and life-stage- and age-related variation in behavior.After filtering for data quality, the K-means algorithm identified four clusters in >2 million GPS telemetry data points. These four clusters corresponded to three movement states: ascending, flapping, and gliding flight; and one non-moving state: perching. Mapping these states illustrated how they corresponded tightly to expectations derived from natural history observations; for example, long periods of ascending flight were often followed by long gliding descents, birds alternated between flapping and gliding flight.The K-means clustering approach we applied is both an efficient and effective mechanism to classify and interpret short-interval biologging data to understand movement behaviors. Furthermore, because it can apply to an abundance of very short, irregular, and high-dimensional movement data, it provides insight into small-scale variation in behavior that would not be possible with many other analytical approaches.
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Affiliation(s)
- Silas Bergen
- Department of Mathematics and StatisticsWinona State UniversityWinonaMinnesotaUSA
| | - Manuela M. Huso
- U.S. Geological SurveyForest and Rangeland Ecosystem Science CenterCorvallisOregonUSA
- Statistics DepartmentOregon State UniversityCorvallisOregonUSA
| | - Adam E. Duerr
- Bloom Research Inc.Los AngelesCaliforniaUSA
- West Virginia UniversityMorgantownWest VirginiaUSA
- Conservation Science Global, Inc.West Cape MayNew JerseyUSA
| | | | - Todd E. Katzner
- U.S. Geological SurveyForest and Rangeland Ecosystem Science CenterBoiseIdahoUSA
| | - Sara Schmuecker
- U.S. Fish and Wildlife ServiceIllinois‐Iowa Field OfficeMolineIllinoisUSA
| | - Tricia A. Miller
- West Virginia UniversityMorgantownWest VirginiaUSA
- Conservation Science Global, Inc.West Cape MayNew JerseyUSA
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Silva I, Fleming CH, Noonan MJ, Alston J, Folta C, Fagan WF, Calabrese JM. Autocorrelation‐informed home range estimation: A review and practical guide. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13786] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Inês Silva
- Center for Advanced Systems Understanding (CASUS) Görlitz Germany
- Helmholtz‐Zentrum Dresden‐Rossendorf (HZDR) Dresden Germany
| | - Christen H. Fleming
- Department of Biology University of Maryland College Park MD USA
- Smithsonian's National Zoo and Conservation Biology Institute Front Royal VA USA
| | - Michael J. Noonan
- Department of Biology University of British Columbia Okanagan Kelowna BC Canada
| | - Jesse Alston
- Center for Advanced Systems Understanding (CASUS) Görlitz Germany
- Helmholtz‐Zentrum Dresden‐Rossendorf (HZDR) Dresden Germany
| | - Cody Folta
- Department of Biology University of Maryland College Park MD USA
| | - William F. Fagan
- Department of Biology University of Maryland College Park MD USA
| | - Justin M. Calabrese
- Center for Advanced Systems Understanding (CASUS) Görlitz Germany
- Helmholtz‐Zentrum Dresden‐Rossendorf (HZDR) Dresden Germany
- Department of Biology University of Maryland College Park MD USA
- Helmholtz Centre for Environmental Research—UFZ Leipzig Germany
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