The DOI matches its Crossref record.
Getting the most connectivity per conservation dollar
Abstract
The importance of connectivity for species conservation has resulted in myriad attempts to identify corridors linking habitat patches and conservation areas. However, making smart decisions for restoring connectivity requires information beyond simple maps of corridors. Here, we combine land‐parcel cost estimates with a new analytical approach that pinpoints where barrier removal can best improve connectivity to develop a return‐on‐investment framework for connectivity restoration. An iterative series of barrier analyses followed by simulated restorations allowed us to incorporate cumulative effects of previous restoration decisions, which can alter the potential value of future restorations. To demonstrate our approach, we identify specific sites that, if restored, would most increase habitat connectivity for the Washington ground squirrel (Urocitellus washingtoni). The analysis was performed in two ways: first without consideration of economic costs and then again, explicitly incorporating the costs of land purchase and restoration. We found that accounting for land costs could reduce overall restoration costs by 55% and increase the area of land restored by 30%. These methods can be tailored to meet different connectivity objectives and can complement reserve design selection methods that prioritize conservation of contiguous natural areas.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Circuit theory can be used to identify key places for mitigating or restoring connectivity.
“In addition, circuit theory can be used to identify key places for mitigating or restoring connectivity (e.g., McRae et al. 2012; Torrubia et al. 2014) in areas where new investments in transportation infrastructure might prioritize crossing structures for wildlife.”
From Circuit‐theory applications to connectivity science and conservation (2019) · cites this paper as Torrubia et al. 2014
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 22
- 10.1016/S0169-2046(02)00242-6 · DOI · Paper page
- 10.1126/science.279.5359.2126 · DOI · Paper page
- 10.3368/er.30.4.274 · DOI
- 10.1890/08-1898.1 · DOI · Paper page
- 10.1111/j.1523-1739.2011.01716.x · DOI · Paper page
- 10.2307/3536586 · DOI
- 10.1017/CBO9780511754821 · DOI
- Finger R, 2004, Washington ground squirrel surveys in Adams, Douglas, and Grant Counties
- 10.1016/j.biocon.2008.10.006 · DOI · Paper page
- Klein KJ., 2005, Dispersal patterns of Washington ground squirrels in Oregon (MS thesis)
- McRae BH., 2012, Barrier mapper connectivity analysis software
- 10.1371/journal.pone.0052604 · DOI · Paper page
- 10.1016/j.biocon.2007.07.011 · DOI
- 10.1371/journal.pone.0068025 · DOI
- 10.1007/s10980-009-9436-7 · DOI · Paper page
- 10.1111/1365-2664.12179 · DOI · Paper page
- 10.1073/pnas.1100404108 · DOI
- 10.1890/08-0915.1 · DOI
- 10.2307/1313420 · DOI
- 10.1111/j.1461-0248.2012.01847.x · DOI
- WWHCWG (Washington Wildlife Habitat Connectivity Working Group), 2012, Washington connected landscapes project: analysis of the Columbia Plateau Ecoregion
- 10.1007/s10980-012-9737-0 · DOI · Paper page
Cited by
Sorted by citations
Circuit‐theory applications to connectivity science and conservation
Dickson, B. G., Albano, C. M., Anantharaman, R., Beier, P., Fargione, J., Graves, T. A., Gray, M. E., Hall, K. R., Lawler, J. J., Leonard, P. B., et al. (2019) · Conservation Biology · doi:10.1111/cobi.13230 · Cited by 461
Self-citation
Metadata
- Authors
- Torrubia, S., McRae, B. H., Lawler, J. J., Hall, S. A., Halabisky, M., Langdon, J., & Case, M.
- Venue
- Frontiers in Ecology and the Environment
- Publisher
- Wiley
- Published
- 2014-11
- Volume
- 12
- Issue
- 9
- Pages
- 491-497
- ISSN
- 1540-9295
- 1540-9309
- Cited by
- 36
- References
- 0
- Language
- en
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