Applying knowledge co‐production to identify Mojave desert tortoise stressors across time, space, and agency missions

Abstract Considerable progress has been made in understanding the effects of stressors on Mojave desert tortoise (Gopherus agassizii) populations, yet information about how stressors may vary across jurisdictions, space, and time is lacking. We engaged in knowledge‐sharing interviews and a workshop...

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Main Authors: Kerry E. Grimm, Brian Folt, Amy Collins, Madeline Standen, Mark A. Spangler, Elissa M. Olimpi, Brett G. Dickson
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Conservation Science and Practice
Subjects:
Online Access:https://doi.org/10.1111/csp2.70073
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author Kerry E. Grimm
Brian Folt
Amy Collins
Madeline Standen
Mark A. Spangler
Elissa M. Olimpi
Brett G. Dickson
author_facet Kerry E. Grimm
Brian Folt
Amy Collins
Madeline Standen
Mark A. Spangler
Elissa M. Olimpi
Brett G. Dickson
author_sort Kerry E. Grimm
collection DOAJ
description Abstract Considerable progress has been made in understanding the effects of stressors on Mojave desert tortoise (Gopherus agassizii) populations, yet information about how stressors may vary across jurisdictions, space, and time is lacking. We engaged in knowledge‐sharing interviews and a workshop with natural resource managers from multiple jurisdictions located throughout the tortoise's range. This knowledge co‐production approach allowed us to learn managers' perceptions of which local to range‐wide stressors, synergistic interactions, and important actions impact tortoise populations. We co‐produced a list of priority stressors that included Common Raven (Corvus corax) predation, roads, climate change/drought, wildfires, and off‐highway vehicle routes. Yet, some temporal, spatial, and organizational differences existed in priority stressors. Participants identified important interactions between (1) climate change/drought, invasive plants, and wildfire and (2) human presence and predation from human‐subsidized predators. Key actions for tortoise recovery included invasive plant removal, education and outreach, surveys, and habitat restoration, which did not always address prioritized stressors, partially because of logistical and monetary constraints. A co‐production approach was vital to learning which stressors managers perceived as most important and varying over space and time, and the logistical constraints associated with managing these stressors.
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spelling doaj-art-15b249bb42094e9bb0761db45f5e9e992025-08-20T02:34:07ZengWileyConservation Science and Practice2578-48542025-06-0176n/an/a10.1111/csp2.70073Applying knowledge co‐production to identify Mojave desert tortoise stressors across time, space, and agency missionsKerry E. Grimm0Brian Folt1Amy Collins2Madeline Standen3Mark A. Spangler4Elissa M. Olimpi5Brett G. Dickson6Human‐Environment Connections Flagstaff Arizona USAConservation Science Partners, Inc. Truckee California USAConservation Science Partners, Inc. Truckee California USAConservation Science Partners, Inc. Truckee California USAConservation Science Partners, Inc. Truckee California USAConservation Science Partners, Inc. Truckee California USAConservation Science Partners, Inc. Truckee California USAAbstract Considerable progress has been made in understanding the effects of stressors on Mojave desert tortoise (Gopherus agassizii) populations, yet information about how stressors may vary across jurisdictions, space, and time is lacking. We engaged in knowledge‐sharing interviews and a workshop with natural resource managers from multiple jurisdictions located throughout the tortoise's range. This knowledge co‐production approach allowed us to learn managers' perceptions of which local to range‐wide stressors, synergistic interactions, and important actions impact tortoise populations. We co‐produced a list of priority stressors that included Common Raven (Corvus corax) predation, roads, climate change/drought, wildfires, and off‐highway vehicle routes. Yet, some temporal, spatial, and organizational differences existed in priority stressors. Participants identified important interactions between (1) climate change/drought, invasive plants, and wildfire and (2) human presence and predation from human‐subsidized predators. Key actions for tortoise recovery included invasive plant removal, education and outreach, surveys, and habitat restoration, which did not always address prioritized stressors, partially because of logistical and monetary constraints. A co‐production approach was vital to learning which stressors managers perceived as most important and varying over space and time, and the logistical constraints associated with managing these stressors.https://doi.org/10.1111/csp2.70073climate changecross‐jurisdictional managementdroughtGopherus agassiziinon‐native plantsoff‐highway vehicles
spellingShingle Kerry E. Grimm
Brian Folt
Amy Collins
Madeline Standen
Mark A. Spangler
Elissa M. Olimpi
Brett G. Dickson
Applying knowledge co‐production to identify Mojave desert tortoise stressors across time, space, and agency missions
Conservation Science and Practice
climate change
cross‐jurisdictional management
drought
Gopherus agassizii
non‐native plants
off‐highway vehicles
title Applying knowledge co‐production to identify Mojave desert tortoise stressors across time, space, and agency missions
title_full Applying knowledge co‐production to identify Mojave desert tortoise stressors across time, space, and agency missions
title_fullStr Applying knowledge co‐production to identify Mojave desert tortoise stressors across time, space, and agency missions
title_full_unstemmed Applying knowledge co‐production to identify Mojave desert tortoise stressors across time, space, and agency missions
title_short Applying knowledge co‐production to identify Mojave desert tortoise stressors across time, space, and agency missions
title_sort applying knowledge co production to identify mojave desert tortoise stressors across time space and agency missions
topic climate change
cross‐jurisdictional management
drought
Gopherus agassizii
non‐native plants
off‐highway vehicles
url https://doi.org/10.1111/csp2.70073
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