SAMC Model Inputs from: Predicting dispersal and conflict risk for wolf recolonization in Colorado
The colonization of suitable yet unoccupied habitat due to natural dispersal or human introduction can benefit recovery of threatened species. Predicting habitat suitability and conflict potential of colonization areas can facilitate conservation planning. Planning for reintroduction of gray wolves...
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ftzenodo:oai:zenodo.org:8280419 2023-09-26T15:17:04+02:00 SAMC Model Inputs from: Predicting dispersal and conflict risk for wolf recolonization in Colorado Ditmer, Mark 2023-08-24 https://zenodo.org/record/8280419 https://doi.org/10.5061/dryad.5qfttdzc6 unknown https://zenodo.org/communities/dryad https://zenodo.org/record/8280419 https://doi.org/10.5061/dryad.5qfttdzc6 oai:zenodo.org:8280419 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode spatial absorbing Markoc chains wolf dispersal landscape resistance wolf habitat fidelity conflict areas info:eu-repo/semantics/other dataset 2023 ftzenodo https://doi.org/10.5061/dryad.5qfttdzc6 2023-08-29T22:59:38Z The colonization of suitable yet unoccupied habitat due to natural dispersal or human introduction can benefit recovery of threatened species. Predicting habitat suitability and conflict potential of colonization areas can facilitate conservation planning. Planning for reintroduction of gray wolves (Canis lupus) to the U.S. state of Colorado is underway. Assessing which occupancy sites minimize the likelihood of human-wolf conflict during dispersal events and seasonal movements is critical to the success of this initiative. We used a spatial absorbing Markov chain (SAMC) framework, which extends random walk theory and probabilistically accounts for both movement behavior and mortality risk, to compare the viability of potential occupancy sites (public lands >500 km2 to minimally meet wolf pack range area). The SAMC framework produced spatially explicit predictions of wolf dispersal, philopatry, and conflict risk ahead of recolonization prior to reintroduction efforts. Our SAMC model included: 1) movement resistance based on terrain, roads, and housing density; 2) mortality risk and potential conflict (absorption) based on livestock presence, social tolerance, land ownership, and state boundaries; and 3) site fidelity based on habitat quality. Using this model, we compared 21 public land units by deriving predictions of: A) relative survival time outside each site, B) intensity of use and retention time within each site, and C) the probability of use on adjacent public lands. We also predicted and mapped potential conflict hotspots associated with each site. Among the units assessed, a complex of USFS Wilderness areas near Aspen, chiefly the Hunter-Fryingpan and Collegiate Peaks Wilderness areas, had the best overall rankings when comparing predictions of each metric. The area balances high-quality, well-connected habitat with relatively low livestock density and high social tolerance. Synthesis and applications: Our findings highlight the utility of the SAMC framework for assessing colonization areas and the ... Dataset Canis lupus Zenodo |
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Open Polar |
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unknown |
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spatial absorbing Markoc chains wolf dispersal landscape resistance wolf habitat fidelity conflict areas |
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spatial absorbing Markoc chains wolf dispersal landscape resistance wolf habitat fidelity conflict areas Ditmer, Mark SAMC Model Inputs from: Predicting dispersal and conflict risk for wolf recolonization in Colorado |
topic_facet |
spatial absorbing Markoc chains wolf dispersal landscape resistance wolf habitat fidelity conflict areas |
description |
The colonization of suitable yet unoccupied habitat due to natural dispersal or human introduction can benefit recovery of threatened species. Predicting habitat suitability and conflict potential of colonization areas can facilitate conservation planning. Planning for reintroduction of gray wolves (Canis lupus) to the U.S. state of Colorado is underway. Assessing which occupancy sites minimize the likelihood of human-wolf conflict during dispersal events and seasonal movements is critical to the success of this initiative. We used a spatial absorbing Markov chain (SAMC) framework, which extends random walk theory and probabilistically accounts for both movement behavior and mortality risk, to compare the viability of potential occupancy sites (public lands >500 km2 to minimally meet wolf pack range area). The SAMC framework produced spatially explicit predictions of wolf dispersal, philopatry, and conflict risk ahead of recolonization prior to reintroduction efforts. Our SAMC model included: 1) movement resistance based on terrain, roads, and housing density; 2) mortality risk and potential conflict (absorption) based on livestock presence, social tolerance, land ownership, and state boundaries; and 3) site fidelity based on habitat quality. Using this model, we compared 21 public land units by deriving predictions of: A) relative survival time outside each site, B) intensity of use and retention time within each site, and C) the probability of use on adjacent public lands. We also predicted and mapped potential conflict hotspots associated with each site. Among the units assessed, a complex of USFS Wilderness areas near Aspen, chiefly the Hunter-Fryingpan and Collegiate Peaks Wilderness areas, had the best overall rankings when comparing predictions of each metric. The area balances high-quality, well-connected habitat with relatively low livestock density and high social tolerance. Synthesis and applications: Our findings highlight the utility of the SAMC framework for assessing colonization areas and the ... |
format |
Dataset |
author |
Ditmer, Mark |
author_facet |
Ditmer, Mark |
author_sort |
Ditmer, Mark |
title |
SAMC Model Inputs from: Predicting dispersal and conflict risk for wolf recolonization in Colorado |
title_short |
SAMC Model Inputs from: Predicting dispersal and conflict risk for wolf recolonization in Colorado |
title_full |
SAMC Model Inputs from: Predicting dispersal and conflict risk for wolf recolonization in Colorado |
title_fullStr |
SAMC Model Inputs from: Predicting dispersal and conflict risk for wolf recolonization in Colorado |
title_full_unstemmed |
SAMC Model Inputs from: Predicting dispersal and conflict risk for wolf recolonization in Colorado |
title_sort |
samc model inputs from: predicting dispersal and conflict risk for wolf recolonization in colorado |
publishDate |
2023 |
url |
https://zenodo.org/record/8280419 https://doi.org/10.5061/dryad.5qfttdzc6 |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_relation |
https://zenodo.org/communities/dryad https://zenodo.org/record/8280419 https://doi.org/10.5061/dryad.5qfttdzc6 oai:zenodo.org:8280419 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.5qfttdzc6 |
_version_ |
1778138425064423424 |