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Harris BS, Whitten AL, Smith BJ, Hayer CA. Fixed Site Sampling Versus Modified Fixed Site Sampling with a Random Sampling Component for Optimizing Early Detection Monitoring of Non-Native Fishes. Northeast Nat (Steuben) 2023. [DOI: 10.1656/045.030.0102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Affiliation(s)
- Brandon S. Harris
- Illinois Natural History Survey, Illinois River Biological Station, 704 N. Schrader Avenue, Havana, IL 62644
| | - Andrya L. Whitten
- Illinois Natural History Survey, Illinois River Biological Station, 704 N. Schrader Avenue, Havana, IL 62644
| | - Bradley J. Smith
- US Fish and Wildlife Service, Green Bay Fish and Wildlife Conservation Office, 2661 Scott Tower Drive, New Franken, WI 54229
| | - Cari-Ann Hayer
- US Fish and Wildlife Service, Green Bay Fish and Wildlife Conservation Office, 2661 Scott Tower Drive, New Franken, WI 54229
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2
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Kass JM, Takashina N, Friedman NR, Kusumoto B, Blair ME. Idea paper: Improving forecasts of community composition with lightweight biodiversity monitoring across ecological and anthropogenic disturbance gradients. Ecol Res 2022. [DOI: 10.1111/1440-1703.12294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Jamie M. Kass
- Biodiversity and Biocomplexity Unit Okinawa Institute of Science and Technology Graduate University Onna Okinawa Japan
| | - Nao Takashina
- Department of International Studies The University of Tokyo Kashiwa Chiba Japan
| | - Nicholas R. Friedman
- Environmental Informatics Section Okinawa Institute of Science and Technology Graduate University Onna Okinawa Japan
| | - Buntarou Kusumoto
- Kasuya Research Forest, Faculty of Agriculture Kyushu University Sasaguri Fukuoka Japan
| | - Mary E. Blair
- Center for Biodiversity and Conservation, American Museum of Natural History New York New York USA
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3
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Southwell D, Legge S, Woinarski J, Lindenmayer D, Lavery T, Wintle B. Design considerations for rapid biodiversity reconnaissance surveys and long‐term monitoring to assess the impact of wildfire. DIVERS DISTRIB 2021. [DOI: 10.1111/ddi.13427] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Affiliation(s)
- Darren Southwell
- National Environmental Science Program Threatened Species Recovery Hub School of Ecosystem and Forest Sciences, University of Melbourne Parkville VIC Australia
| | - Sarah Legge
- National Environmental Science Program Threatened Species Recovery Hub Fenner School of Environment and Society The Australian National University Canberra ACT Australia
- National Environmental Science Program Threatened Species Recovery Hub Centre for Biodiversity and Conservation Science University of Queensland St Lucia QLD Australia
| | - John Woinarski
- National Environmental Science Program Threatened Species Recovery Hub School of Ecosystem and Forest Sciences, University of Melbourne Parkville VIC Australia
- National Environmental Science Program Threatened Species Recovery Hub Charles Darwin University Darwin NT Australia
| | - David Lindenmayer
- National Environmental Science Program Threatened Species Recovery Hub Fenner School of Environment and Society The Australian National University Canberra ACT Australia
| | - Tyrone Lavery
- National Environmental Science Program Threatened Species Recovery Hub Fenner School of Environment and Society The Australian National University Canberra ACT Australia
| | - Brendan Wintle
- National Environmental Science Program Threatened Species Recovery Hub School of Ecosystem and Forest Sciences, University of Melbourne Parkville VIC Australia
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4
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Guerin GR, Williams KJ, Sparrow B, Lowe AJ. Stocktaking the environmental coverage of a continental ecosystem observation network. Ecosphere 2020. [DOI: 10.1002/ecs2.3307] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Greg R. Guerin
- School of Biological Sciences The University of Adelaide Adelaide South Australia5005Australia
| | | | - Ben Sparrow
- School of Biological Sciences The University of Adelaide Adelaide South Australia5005Australia
| | - Andrew J. Lowe
- School of Biological Sciences The University of Adelaide Adelaide South Australia5005Australia
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5
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Zhang C, Xu B, Xue Y, Ren Y. Evaluating multispecies survey designs using a joint species distribution model. AQUACULTURE AND FISHERIES 2020. [DOI: 10.1016/j.aaf.2019.11.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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6
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Carvalho SB, Torres J, Tarroso P, Velo-Antón G. Genes on the edge: A framework to detect genetic diversity imperiled by climate change. GLOBAL CHANGE BIOLOGY 2019; 25:4034-4047. [PMID: 31230387 DOI: 10.1111/gcb.14740] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 05/10/2019] [Accepted: 06/13/2019] [Indexed: 06/09/2023]
Abstract
Ongoing global warming is disrupting several ecological and evolutionary processes, spanning different levels of biological organization. Species are expected to shift their ranges as a response to climate change, with relevant implications to peripheral populations at the trailing and leading edges. Several studies have analyzed the exposure of species to climate change but few have explored exposure at the intraspecific level. We introduce a framework to forecast exposure to climate change at the intraspecific level. We build on existing methods by combining correlative species distribution models, a model of species range dynamics, and a model of phylogeographic interpolation. We demonstrate the framework by applying it to 20 Iberian amphibian and reptile species. Our aims were to: (a) identify which species and intraspecific lineages will be most exposed to future climate change; (b) test if nucleotide diversity at the edges of species ranges are significantly higher or lower than on the overall range; and (c) analyze if areas of higher species gain, loss, and turnover coincide with those predicted for lineages richness and nucleotide diversity. We found that about 80% of the studied species are predicted to contract their range. Within each species, some lineages were predicted to contract their range, while others were predicted to maintain or expand it. Therefore, estimating the impacts of climate change at the species level only can underestimate losses at the intraspecific level. Some species had significant high amount of nucleotide at the trailing or leading edge, or both, but we did not find a consistent pattern across species. Spatial patterns of species richness, gain, loss, and turnover were fairly concurrent with lineages richness and nucleotide diversity. Our results support the need for increased attention to intraspecific diversity regarding monitoring and conservation strategies under climate change.
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Affiliation(s)
- Sílvia Benoliel Carvalho
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto, Vairão, Portugal
| | - João Torres
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto, Vairão, Portugal
| | - Pedro Tarroso
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto, Vairão, Portugal
| | - Guillermo Velo-Antón
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto, Vairão, Portugal
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7
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Essential biodiversity variables for mapping and monitoring species populations. Nat Ecol Evol 2019; 3:539-551. [DOI: 10.1038/s41559-019-0826-1] [Citation(s) in RCA: 171] [Impact Index Per Article: 34.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Accepted: 01/23/2019] [Indexed: 11/08/2022]
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8
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Civantos E, Monteiro AT, Gonçalves J, Marcos B, Alves P, Honrado JP. Patterns of landscape seasonality influence passerine diversity: Implications for conservation management under global change. ECOLOGICAL COMPLEXITY 2018. [DOI: 10.1016/j.ecocom.2018.07.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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9
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Bolduc F, Roy C, Rousseu F. R2MCDS: An R package for the analysis of multi-species datasets collected using distance sampling. ECOL INFORM 2018. [DOI: 10.1016/j.ecoinf.2017.10.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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10
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Morán‐Ordóñez A, Canessa S, Bota G, Brotons L, Herrando S, Hermoso V. Efficiency of species survey networks can be improved by integrating different monitoring approaches in a spatial prioritization design. Conserv Lett 2018. [DOI: 10.1111/conl.12591] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Affiliation(s)
- Alejandra Morán‐Ordóñez
- Biodiversity and Landscape Ecology lab, Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC) Solsona Catalonia Spain
- Centre for Research on Ecology and Forestry Applications (CREAF) Cerdanyola del Valles Catalonia Spain
| | - Stefano Canessa
- Wildlife Health Ghent, Faculty of Veterinary MedicineDepartment of Pathology, Bacteriology and Avian Diseases, Ghent University Merelbeke Belgium
| | - Gerard Bota
- Biodiversity and Landscape Ecology lab, Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC) Solsona Catalonia Spain
| | - Lluis Brotons
- Biodiversity and Landscape Ecology lab, Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC) Solsona Catalonia Spain
- Centre for Research on Ecology and Forestry Applications (CREAF) Cerdanyola del Valles Catalonia Spain
- Spanish National Research Council (CSIC) Cerdanyola del Valles Catalonia Spain
| | - Sergi Herrando
- Natural History Museum of Barcelona, Catalan Ornithological Institute (ICO) Barcelona Catalonia Spain
| | - Virgilio Hermoso
- Biodiversity and Landscape Ecology lab, Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC) Solsona Catalonia Spain
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11
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Mapping potential habitats for the management of exportable insects in South Korea. JOURNAL OF ASIA-PACIFIC BIODIVERSITY 2018. [DOI: 10.1016/j.japb.2017.12.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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12
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Culina A, Linton DM, Macdonald DW. Testing for complex drivers of resource utilisation: A case-study of roost dynamics in bats. Basic Appl Ecol 2017. [DOI: 10.1016/j.baae.2017.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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13
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Trebitz AS, Hoffman JC, Darling JA, Pilgrim EM, Kelly JR, Brown EA, Chadderton WL, Egan SP, Grey EK, Hashsham SA, Klymus KE, Mahon AR, Ram JL, Schultz MT, Stepien CA, Schardt JC. Early detection monitoring for aquatic non-indigenous species: Optimizing surveillance, incorporating advanced technologies, and identifying research needs. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2017; 202:299-310. [PMID: 28738203 PMCID: PMC5927374 DOI: 10.1016/j.jenvman.2017.07.045] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Revised: 07/13/2017] [Accepted: 07/16/2017] [Indexed: 05/19/2023]
Abstract
Following decades of ecologic and economic impacts from a growing list of nonindigenous and invasive species, government and management entities are committing to systematic early- detection monitoring (EDM). This has reinvigorated investment in the science underpinning such monitoring, as well as the need to convey that science in practical terms to those tasked with EDM implementation. Using the context of nonindigenous species in the North American Great Lakes, this article summarizes the current scientific tools and knowledge - including limitations, research needs, and likely future developments - relevant to various aspects of planning and conducting comprehensive EDM. We begin with the scope of the effort, contrasting target-species with broad-spectrum monitoring, reviewing information to support prioritization based on species and locations, and exploring the challenge of moving beyond individual surveys towards a coordinated monitoring network. Next, we discuss survey design, including effort to expend and its allocation over space and time. A section on sample collection and analysis overviews the merits of collecting actual organisms versus shed DNA, reviews the capabilities and limitations of identification by morphology, DNA target markers, or DNA barcoding, and examines best practices for sample handling and data verification. We end with a section addressing the analysis of monitoring data, including methods to evaluate survey performance and characterize and communicate uncertainty. Although the body of science supporting EDM implementation is already substantial, research and information needs (many already actively being addressed) include: better data to support risk assessments that guide choice of taxa and locations to monitor; improved understanding of spatiotemporal scales for sample collection; further development of DNA target markers, reference barcodes, genomic workflows, and synergies between DNA-based and morphology-based taxonomy; and tools and information management systems for better evaluating and communicating survey outcomes and uncertainty.
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Affiliation(s)
- Anett S Trebitz
- U.S. Environmental Protection Agency, National Health and Environmental Effects Laboratory, Duluth, MN, 55804, USA.
| | - Joel C Hoffman
- U.S. Environmental Protection Agency, National Health and Environmental Effects Laboratory, Duluth, MN, 55804, USA.
| | - John A Darling
- U.S. Environmental Protection Agency, National Exposure Research Laboratory, Durham, NC, 27713, USA.
| | - Erik M Pilgrim
- U.S. Environmental Protection Agency, National Exposure Research Laboratory, Cincinnati, OH, 45268, USA.
| | - John R Kelly
- U.S. Environmental Protection Agency, National Health and Environmental Effects Laboratory, Duluth, MN, 55804, USA.
| | - Emily A Brown
- Université du Québec à Montréal, Montreal, Québec, H2L 2C4, Canada.
| | - W Lindsay Chadderton
- The Nature Conservancy, c/o Environmental Change Initiative, South Bend, IN, 46617, USA.
| | - Scott P Egan
- Rice University, BioSciences Department, Houston, TX, 77005, USA.
| | - Erin K Grey
- Governors State University, Division of Chemistry and Biological Sciences, University Park, IL, 60484, USA.
| | - Syed A Hashsham
- Engineering Research Center, Michigan State University, East Lansing, MI, 48823, USA.
| | - Katy E Klymus
- University of Toledo, Great Lakes Genetics/Genomics Laboratory, Department of Environmental Sciences, Toledo, OH, 43606, USA.
| | - Andrew R Mahon
- Central Michigan University, Department of Biology, Institute for Great Lakes Research, Mount Pleasant, MI, 48859, USA.
| | - Jeffrey L Ram
- Wayne State University, Department of Physiology, Detroit, MI, 48201, USA.
| | - Martin T Schultz
- U.S. Army Corps of Engineers, Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS, 39180, USA.
| | - Carol A Stepien
- National Oceanic and Atmospheric Administration, Pacific Marine Environmental Lab, Seattle, WA, 98115, USA.
| | - James C Schardt
- U.S. Environmental Protection Agency, Great Lakes National Program Office, Chicago, IL, 60604, USA.
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14
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Robinson L, Cushman SA, Lucid MK. Winter bait stations as a multispecies survey tool. Ecol Evol 2017; 7:6826-6838. [PMID: 28904763 PMCID: PMC5587484 DOI: 10.1002/ece3.3158] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 05/15/2017] [Accepted: 05/17/2017] [Indexed: 11/06/2022] Open
Abstract
Winter bait stations are becoming a commonly used technique for multispecies inventory and monitoring but a technical evaluation of their effectiveness is lacking. Bait stations have three components: carcass attractant, remote camera, and hair snare. Our 22,975 km2 mountainous study area was stratified with a 5 × 5 km sampling grid centered on northern Idaho and including portions of Washington, Montana, and British Columbia. From 2010–14, we conducted 563 sampling sessions at 497 bait stations in 453 5 × 5 km cells. We evaluated the effectiveness of cameras and hair snare DNA collection at stations to detect species and individual animals, factors affecting DNA viability, the effectiveness of re‐visiting stations, and the influence of elevation, seasonality, and latency on species detections. Cameras were more effective at detecting multiple species than DNA hair snaring. Length of deployment time and elevation increased genetic species ID success but individual ID success rates were increased only by collecting hairs earlier in the season. Re‐visiting stations did not change camera or genetic species detection results but did increase the number of individual genotypes identified. Marten and fisher were detected quickly while bobcat and coyote showed longer latency to detection. Seasonality significantly affected coyote and bobcat detections but not marten, fisher, or weasel. Multispecies bait station study design should incorporate mixed elevation sites with stratified seasonality. Priority should be given to including cameras as components of bait stations over hair snares, unless there is a specific genetic goal to the study. A hair snare component should be added, however, if individual ID or genetic data are necessary. Winter stations should be deployed a minimum of 45–60 days to allow for detection of low density species and species with long latency to detection times. Hair samples should be collected prior to DNA‐degrading late season rain events. Re‐visiting stations does not change which species are detected at stations; therefore, studies with objectives to delineate species presence or distribution will be more effective if they focus on deploying more stations across a broader landscape in lieu of surveying the same site multiple times.
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Affiliation(s)
- Lacy Robinson
- Idaho Department of Fish and Game Coeur d'Alene ID USA.,Yellowstone to Yukon Conservation Initiative PO Box 733 Sandpoint ID USA
| | - Samuel A Cushman
- U.S. Forest Service Rocky Mountain Research Station Flagstaff AZ USA
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15
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Regos A, Tapia L, Gil-Carrera A, Domínguez J. Monitoring protected areas from space: A multi-temporal assessment using raptors as biodiversity surrogates. PLoS One 2017; 12:e0181769. [PMID: 28738072 PMCID: PMC5524325 DOI: 10.1371/journal.pone.0181769] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Accepted: 07/05/2017] [Indexed: 11/18/2022] Open
Abstract
Monitoring protected areas (PAs) is essential for systematic evaluation of their effectiveness in terms of habitat protection, preservation and representativeness. This study illustrates how the use of species distribution models that combine remote sensing data and information about biodiversity surrogates can contribute to develop a systematic protocol for monitoring PAs. In particular, we assessed the effectiveness of the Natura 2000 (N2000) network, for conserving and preserving the representativeness of seven raptor species in a highly-dynamic landscape in northwest Spain between 2001 and 2014. We also evaluated the cost-effectiveness of the N2000 network by using the total area under protection as a proxy for conservation costs. Overall, the N2000 network was found to poorly represent the habitats of the raptor species. Despite the low representativeness, this network showed a high degree of effectiveness due to increased overall habitat availability for generalist and forest specialist species between 2001 and 2014. Nevertheless, additional protected areas should be established in the near future to increase their representativeness, and thus ensure the protection of open-habitat specialist species and their priority habitats. In addition, proactive conservation measures in natural and semi-natural ecosystems (in particular, montane heathlands) will be essential for long-term protection of Montagu's harrier (species listed in the Annex I of the Bird Directive), and thus complying with the current European Environmental Legislation. This study sheds light on how the development and application of new protected area indices based on the combined use of freely-available satellite data and species distribution models may contribute substantially to the cost-efficiency of the PA monitoring systems, and to the 'Fitness Check' process of EU Nature Directives.
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Affiliation(s)
- Adrián Regos
- CIBIO/InBIO, Research Center in Biodiversity and Genetic Resources, Predictive Ecology Group, Campus Agrario de Vairão, Vairão, Portugal
- Departamento de Zooloxía, Xenética e Antrolopoxía Fisica, Universidade de Santiago de Compostela, Campus Sur, Spain
- InForest Joint Research Unit (CEMFOR-CTFC), Solsona, Spain
| | - Luis Tapia
- Departamento de Zooloxía, Xenética e Antrolopoxía Fisica, Universidade de Santiago de Compostela, Campus Sur, Spain
| | - Alberto Gil-Carrera
- GREFA (Grupo de Rehabilitación de la Fauna Autóctona y su Hábitat), Monte del Pilar S/N, Majadahonda, Madrid, Spain
- EBX, Estación Biolóxica do Xurés, Vilameá, Lobios, Galicia, Spain
| | - Jesús Domínguez
- Departamento de Zooloxía, Xenética e Antrolopoxía Fisica, Universidade de Santiago de Compostela, Campus Sur, Spain
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16
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Buchadas A, Vaz AS, Honrado JP, Alagador D, Bastos R, Cabral JA, Santos M, Vicente JR. Dynamic models in research and management of biological invasions. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2017; 196:594-606. [PMID: 28351824 DOI: 10.1016/j.jenvman.2017.03.060] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 03/10/2017] [Accepted: 03/19/2017] [Indexed: 06/06/2023]
Abstract
Invasive species are increasing in number, extent and impact worldwide. Effective invasion management has thus become a core socio-ecological challenge. To tackle this challenge, integrating spatial-temporal dynamics of invasion processes with modelling approaches is a promising approach. The inclusion of dynamic processes in such modelling frameworks (i.e. dynamic or hybrid models, here defined as models that integrate both dynamic and static approaches) adds an explicit temporal dimension to the study and management of invasions, enabling the prediction of invasions and optimisation of multi-scale management and governance. However, the extent to which dynamic approaches have been used for that purpose is under-investigated. Based on a literature review, we examined the extent to which dynamic modelling has been used to address invasions worldwide. We then evaluated how the use of dynamic modelling has evolved through time in the scope of invasive species management. The results suggest that modelling, in particular dynamic modelling, has been increasingly applied to biological invasions, especially to support management decisions at local scales. Also, the combination of dynamic and static modelling approaches (hybrid models with a spatially explicit output) can be especially effective, not only to support management at early invasion stages (from prevention to early detection), but also to improve the monitoring of invasion processes and impact assessment. Further development and testing of such hybrid models may well be regarded as a priority for future research aiming to improve the management of invasions across scales.
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Affiliation(s)
- Ana Buchadas
- InBIO-CIBIO - Rede de Investigação em Biodiversidade e Biologia Evolutiva, Centro de Investigação em Biodiversidade e Recursos Genéticos, Faculdade de Ciências da Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7, 4485-661 Vairão, Portugal.
| | - Ana Sofia Vaz
- InBIO-CIBIO - Rede de Investigação em Biodiversidade e Biologia Evolutiva, Centro de Investigação em Biodiversidade e Recursos Genéticos, Faculdade de Ciências da Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7, 4485-661 Vairão, Portugal.
| | - João P Honrado
- InBIO-CIBIO - Rede de Investigação em Biodiversidade e Biologia Evolutiva, Centro de Investigação em Biodiversidade e Recursos Genéticos, Faculdade de Ciências da Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7, 4485-661 Vairão, Portugal.
| | - Diogo Alagador
- InBio-CIBIO, Rede de Investigação em Biodiversidade e Biologia Evolutiva, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade de Évora, 7000-890 Évora, Portugal.
| | - Rita Bastos
- Laboratory of Applied Ecology, CITAB - Centre for the Research and Technology of Agro-Environment and Biological Sciences, University of Trás-os-Montes e Alto Douro, 5000-911 Vila Real, Portugal.
| | - João A Cabral
- Laboratory of Applied Ecology, CITAB - Centre for the Research and Technology of Agro-Environment and Biological Sciences, University of Trás-os-Montes e Alto Douro, 5000-911 Vila Real, Portugal.
| | - Mário Santos
- Laboratory of Applied Ecology, CITAB - Centre for the Research and Technology of Agro-Environment and Biological Sciences, University of Trás-os-Montes e Alto Douro, 5000-911 Vila Real, Portugal.
| | - Joana R Vicente
- InBIO-CIBIO - Rede de Investigação em Biodiversidade e Biologia Evolutiva, Centro de Investigação em Biodiversidade e Recursos Genéticos, Faculdade de Ciências da Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7, 4485-661 Vairão, Portugal; Laboratory of Applied Ecology, CITAB - Centre for the Research and Technology of Agro-Environment and Biological Sciences, University of Trás-os-Montes e Alto Douro, 5000-911 Vila Real, Portugal.
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17
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Portela AP, Marcos B, Hespanhol H, Silva R, Honrado J, Vieira C. Putting bryophyte communities in the map: A case study on prioritizing monitoring of human pressure in riverscapes. J Nat Conserv 2017. [DOI: 10.1016/j.jnc.2017.04.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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18
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Honrado JP, Pereira HM, Guisan A. Fostering integration between biodiversity monitoring and modelling. J Appl Ecol 2016. [DOI: 10.1111/1365-2664.12777] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- João P. Honrado
- InBIO - Rede de Investigação em Biodiversidade e Biologia Evolutiva/CIBIO - Centro de Investigação em Biodiversidade e Recursos Genéticos; Universidade do Porto; Campus Agrário de Vairão 4485-601 Vairão Portugal
- Faculdade de Ciências; Universidade do Porto; Rua do Campo Alegre Edifício FC4 4169-007 Porto Portugal
| | - Henrique M. Pereira
- InBIO - Rede de Investigação em Biodiversidade e Biologia Evolutiva/CIBIO - Centro de Investigação em Biodiversidade e Recursos Genéticos; Universidade do Porto; Campus Agrário de Vairão 4485-601 Vairão Portugal
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig; Deutscher Platz 5e 04103 Leipzig Germany
- Institute of Biology; Martin Luther University Halle-Wittenberg; Am Kirchtor 1 06108 Halle (Saale) Germany
| | - Antoine Guisan
- Department of Ecology & Evolution; University of Lausanne; 1015 Lausanne Switzerland
- Institute of Earth Surface Dynamics; University of Lausanne; 1015 Lausanne Switzerland
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