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...
| Main Author: | |
|---|---|
| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2023
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.5qfttdzc6 https://datadryad.org/stash/dataset/doi:10.5061/dryad.5qfttdzc6 |
| Summary: | 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 ... |
|---|