The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Dispersal will limit ability of mammals to track climate change in the Western Hemisphere
Open accessAbstract
As they have in response to past climatic changes, many species will shift their distributions in response to modern climate change. However, due to the unprecedented rapidity of projected climatic changes, some species may not be able to move their ranges fast enough to track shifts in suitable climates and associated habitats. Here, we investigate the ability of 493 mammals to keep pace with projected climatic changes in the Western Hemisphere. We modeled the velocities at which species will likely need to move to keep pace with projected changes in suitable climates. We compared these velocities with the velocities at which species are able to move as a function of dispersal distances and dispersal frequencies. Across the Western Hemisphere, on average, 9.2% of mammals at a given location will likely be unable to keep pace with climate change. In some places, up to 39% of mammals may be unable to track shifts in suitable climates. Eighty-seven percent of mammalian species are expected to experience reductions in range size and 20% of these range reductions will likely be due to limited dispersal abilities as opposed to reductions in the area of suitable climate. Because climate change will likely outpace the response capacity of many mammals, mammalian vulnerability to climate change may be more extensive than previously anticipated.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
A globally coherent fingerprint of climate change impacts across natural systems
Parmesan, C., & Yohe, G. (2003) · Nature · doi:10.1038/nature01286 · Cited by 11,265
Ecological and Evolutionary Responses to Recent Climate Change
Parmesan, C. (2006) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.37.091305.110100 · Cited by 8,652
Random forests for classification in ecology
Cutler, D. R., Edwards, T. C., Beard, K. H., Cutler, A., Hess, K. T., Gibson, J., & Lawler, J. J. (2007) · Ecology · doi:10.1890/07-0539.1 · Cited by 4,950
Self-citationPearson, R. G., & Dawson, T. P. (2003) · Global Ecology and Biogeography · doi:10.1046/j.1466-822x.2003.00042.x · Cited by 4,252
Impacts of climate warming on terrestrial ectotherms across latitude
Deutsch, C. A., Tewksbury, J. J., Huey, R. B., Sheldon, K. S., Ghalambor, C. K., Haak, D. C., & Martin, P. R. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709472105 · Cited by 3,840
Cited by
Accelerating extinction risk from climate change
Urban, M. C. (2015) · Science · doi:10.1126/science.aaa4984 · Cited by 2,436
Terrestrial animal tracking as an eye on life and planet
Kays, R., Crofoot, M. C., Jetz, W., & Wikelski, M. (2015) · Science · doi:10.1126/science.aaa2478 · Cited by 1,638
Impending extinction crisis of the world’s primates: Why primates matter
Estrada, A., Garber, P. A., Rylands, A. B., Roos, C., Fernandez-Duque, E., Di Fiore, A., Nekaris, K. A.-I., Nijman, V., Heymann, E. W., Lambert, J. E., et al. (2017) · Science Advances · doi:10.1126/sciadv.1600946 · Cited by 1,466
Climate change increases cross-species viral transmission risk
Carlson, C. J., Albery, G. F., Merow, C., Trisos, C. H., Zipfel, C. M., Eskew, E. A., Olival, K. J., Ross, N., & Bansal, S. (2022) · Nature · doi:10.1038/s41586-022-04788-w · Cited by 1,099
Saura, S., Bodin, Ö., & Fortin, M. (2014) · Journal of Applied Ecology · doi:10.1111/1365-2664.12179 · Cited by 632
Species’ traits influenced their response to recent climate change
Pacifici, M., Visconti, P., Butchart, S. H. M., Watson, J. E. M., Cassola, F. M., & Rondinini, C. (2017) · Nature Climate Change · doi:10.1038/nclimate3223 · Cited by 427
What is long‐distance dispersal? And a taxonomy of dispersal events
Jordano, P. (2017) · Journal of Ecology · doi:10.1111/1365-2745.12690 · Cited by 201
Global correlates of range contractions and expansions in terrestrial mammals
Pacifici, M., Rondinini, C., Rhodes, J. R., Burbidge, A. A., Cristiano, A., Watson, J. E. M., Woinarski, J. C. Z., & Di Marco, M. (2020) · Nature Communications · doi:10.1038/s41467-020-16684-w · Cited by 197
Projected climate‐driven faunal movement routes
Lawler, J. J., Ruesch, A. S., Olden, J. D., & McRae, B. H. (2013) · Ecology Letters · doi:10.1111/ele.12132 · Cited by 179
Self-citationTrisos, C. H., Amatulli, G., Gurevitch, J., Robock, A., Xia, L., & Zambri, B. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-017-0431-0 · Cited by 157
A temporary, moderate and responsive scenario for solar geoengineering
Keith, D. W., & MacMartin, D. G. (2015) · Nature Climate Change · doi:10.1038/nclimate2493 · Cited by 148
Biotic and Climatic Velocity Identify Contrasting Areas of Vulnerability to Climate Change
Carroll, C., Lawler, J. J., Roberts, D. R., & Hamann, A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0140486 · Cited by 143
Self-citationLittlefield, C. E., McRae, B. H., Michalak, J. L., Lawler, J. J., & Carroll, C. (2017) · Conservation Biology · doi:10.1111/cobi.12938 · Cited by 134
Self-citationSuite of simple metrics reveals common movement syndromes across vertebrate taxa
Abrahms, B., Seidel, D. P., Dougherty, E., Hazen, E. L., Bograd, S. J., Wilson, A. M., Weldon McNutt, J., Costa, D. P., Blake, S., Brashares, J. S., et al. (2017) · Movement Ecology · doi:10.1186/s40462-017-0104-2 · Cited by 109
megaSDM: Integrating dispersal and time-step analyses into species distribution models
Shipley, B. R., Bach, R., Do, Y., Strathearn, H., McGuire, J. L., & Dilkina, B. (2022) · Ecography · doi:10.1111/ecog.05450 · Cited by 80
McCormack, C. G., Born, W., Irvine, P. J., Achterberg, E. P., Amano, T., Ardron, J., Foster, P. N., Gattuso, J.-P., Hawkins, S. J., Hendy, E., et al. (2016) · Journal of Integrative Environmental Sciences · doi:10.1080/1943815x.2016.1159578 · Cited by 62
Importance of spatio–temporal connectivity to maintain species experiencing range shifts
Huang, J., Andrello, M., Martensen, A. C., Saura, S., Liu, D., He, J., & Fortin, M. (2020) · Ecography · doi:10.1111/ecog.04716 · Cited by 62
Maiorano, L., Boitani, L., Chiaverini, L., & Ciucci, P. (2017) · Basic and Applied Ecology · doi:10.1016/j.baae.2017.02.005 · Cited by 30
The potential environmental and climate impacts of stratospheric aerosol injection: a review
Huynh, H. N., & McNeill, V. F. (2024) · Environmental Science: Atmospheres · doi:10.1039/d3ea00134b · Cited by 27
Weyer, N. M. (2018) · Unpublished · doi:10.13140/rg.2.2.11625.40809 · Cited by 5
Metadata
- Authors
- Schloss, C. A., Nuñez, T. A., & Lawler, J. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2012-05-14
- Volume
- 109
- Issue
- 22
- Pages
- 8606-8611
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2111158823
- Cited by
- 603
- References
- 6
- FWCI
- 20.73
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.