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Tracking spatial regimes as an early warning for a species of conservation concern

In this era of global environmental change and rapid regime shifts, managing core areas that species require to survive and persist is a grand challenge for conservation. Wildlife monitoring data are often limited or local in scale. The emerging ability to map and track spatial regimes (i.e., the sp...

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Autores principales: Roberts, Caleb P., Uden, Daniel R., Cady, Samantha M., Allred, Brady, Fuhlendorf, Samuel, Jones, Matthew O., Maestas, Jeremy D., Naugle, David, Olsen, Andrew C., Smith, Joseph, Tack, Jason, Twidwell, Dirac
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746655/
https://www.ncbi.nlm.nih.gov/pubmed/34674399
http://dx.doi.org/10.1002/eap.2480
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author Roberts, Caleb P.
Uden, Daniel R.
Cady, Samantha M.
Allred, Brady
Fuhlendorf, Samuel
Jones, Matthew O.
Maestas, Jeremy D.
Naugle, David
Olsen, Andrew C.
Smith, Joseph
Tack, Jason
Twidwell, Dirac
author_facet Roberts, Caleb P.
Uden, Daniel R.
Cady, Samantha M.
Allred, Brady
Fuhlendorf, Samuel
Jones, Matthew O.
Maestas, Jeremy D.
Naugle, David
Olsen, Andrew C.
Smith, Joseph
Tack, Jason
Twidwell, Dirac
author_sort Roberts, Caleb P.
collection PubMed
description In this era of global environmental change and rapid regime shifts, managing core areas that species require to survive and persist is a grand challenge for conservation. Wildlife monitoring data are often limited or local in scale. The emerging ability to map and track spatial regimes (i.e., the spatial manifestation of state transitions) using advanced geospatial vegetation data has the potential to provide earlier warnings of habitat loss because many species of conservation concern strongly avoid spatial regime boundaries. Using 23 yr of data for the lek locations of Greater Prairie‐Chicken (Tympanuchus cupido; GPC) in a remnant grassland ecosystem, we demonstrate how mapping changes in the boundaries between grassland and woodland spatial regimes provide a spatially explicit early warning signal for habitat loss for an iconic and vulnerable grassland‐obligate known to be highly sensitive to woody plant encroachment. We tested whether a newly proposed metric for the quantification of spatial regimes captured well‐known responses of GPC to woody plant expansion into grasslands. Resource selection functions showed that the grass:woody spatial regime boundary strength explained the probability of 80% of relative lek occurrence, and GPC strongly avoided grass:woody spatial regime boundaries at broad scales. Both findings are consistent with well‐known expectations derived from GPC ecology. These results provide strong evidence for vegetation‐derived delineations of spatial regimes to serve as generalized signals of early warning for state transitions that have major consequences to biodiversity conservation. Mapping spatial regime boundaries over time provided interpretable early warnings of habitat loss. Woody plant regimes displaced grassland regimes starting from the edges of the study area and constricting inward. Correspondingly, the relative probability of lek occurrence constricted in space. Similarly, the temporal trajectory of spatial regime boundary strength increased over time and moved closer to the observed limit of GPC lek site usage relative to grass:woody boundary strength. These novel spatial metrics allow managers to rapidly screen for early warning signals of spatial regime shifts and adapt management practices to defend and grow habitat cores at broad scales.
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spelling pubmed-97466552022-12-14 Tracking spatial regimes as an early warning for a species of conservation concern Roberts, Caleb P. Uden, Daniel R. Cady, Samantha M. Allred, Brady Fuhlendorf, Samuel Jones, Matthew O. Maestas, Jeremy D. Naugle, David Olsen, Andrew C. Smith, Joseph Tack, Jason Twidwell, Dirac Ecol Appl Articles In this era of global environmental change and rapid regime shifts, managing core areas that species require to survive and persist is a grand challenge for conservation. Wildlife monitoring data are often limited or local in scale. The emerging ability to map and track spatial regimes (i.e., the spatial manifestation of state transitions) using advanced geospatial vegetation data has the potential to provide earlier warnings of habitat loss because many species of conservation concern strongly avoid spatial regime boundaries. Using 23 yr of data for the lek locations of Greater Prairie‐Chicken (Tympanuchus cupido; GPC) in a remnant grassland ecosystem, we demonstrate how mapping changes in the boundaries between grassland and woodland spatial regimes provide a spatially explicit early warning signal for habitat loss for an iconic and vulnerable grassland‐obligate known to be highly sensitive to woody plant encroachment. We tested whether a newly proposed metric for the quantification of spatial regimes captured well‐known responses of GPC to woody plant expansion into grasslands. Resource selection functions showed that the grass:woody spatial regime boundary strength explained the probability of 80% of relative lek occurrence, and GPC strongly avoided grass:woody spatial regime boundaries at broad scales. Both findings are consistent with well‐known expectations derived from GPC ecology. These results provide strong evidence for vegetation‐derived delineations of spatial regimes to serve as generalized signals of early warning for state transitions that have major consequences to biodiversity conservation. Mapping spatial regime boundaries over time provided interpretable early warnings of habitat loss. Woody plant regimes displaced grassland regimes starting from the edges of the study area and constricting inward. Correspondingly, the relative probability of lek occurrence constricted in space. Similarly, the temporal trajectory of spatial regime boundary strength increased over time and moved closer to the observed limit of GPC lek site usage relative to grass:woody boundary strength. These novel spatial metrics allow managers to rapidly screen for early warning signals of spatial regime shifts and adapt management practices to defend and grow habitat cores at broad scales. John Wiley and Sons Inc. 2021-11-23 2022-01 /pmc/articles/PMC9746655/ /pubmed/34674399 http://dx.doi.org/10.1002/eap.2480 Text en © 2021 The Authors. Ecological Applications published by Wiley Periodicals LLC on behalf of The Ecological Society of America. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Articles
Roberts, Caleb P.
Uden, Daniel R.
Cady, Samantha M.
Allred, Brady
Fuhlendorf, Samuel
Jones, Matthew O.
Maestas, Jeremy D.
Naugle, David
Olsen, Andrew C.
Smith, Joseph
Tack, Jason
Twidwell, Dirac
Tracking spatial regimes as an early warning for a species of conservation concern
title Tracking spatial regimes as an early warning for a species of conservation concern
title_full Tracking spatial regimes as an early warning for a species of conservation concern
title_fullStr Tracking spatial regimes as an early warning for a species of conservation concern
title_full_unstemmed Tracking spatial regimes as an early warning for a species of conservation concern
title_short Tracking spatial regimes as an early warning for a species of conservation concern
title_sort tracking spatial regimes as an early warning for a species of conservation concern
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746655/
https://www.ncbi.nlm.nih.gov/pubmed/34674399
http://dx.doi.org/10.1002/eap.2480
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