Predicted Marten Habitat in the Northern Appalachians: Increased Trapping Intensity + Timber Harvest Scenario
Dates
Original Data Basin Creation Date
2010-06-18 08:39:58
Original Data Basin Modified Date
2010-06-23 10:53:14
Summary
This dataset depicts Marten (Martes americana) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the increased trapping intensity plus timber harvest scenario (L4; Carrol 2007). This dataset represents one of several scenarios testing the interacting effects of trapping, timber harvest, habitat restoration, and climate change on marten populations. Static habitat suitability models for marten were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for marten were created based on annual snowfall and percentage of older conifer and mixed forest. Demographic parameters were obtained from the literature and from calibration of the model. [...]
Summary
This dataset depicts Marten (Martes americana) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the increased trapping intensity plus timber harvest scenario (L4; Carrol 2007). This dataset represents one of several scenarios testing the interacting effects of trapping, timber harvest, habitat restoration, and climate change on marten populations. Static habitat suitability models for marten were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for marten were created based on annual snowfall and percentage of older conifer and mixed forest. Demographic parameters were obtained from the literature and from calibration of the model. Several hundred individual model simulations were used to create this dataset. The influence of trapping was incorporated through different scenarios of the area open to trapping and the survival rates within trapped and untrapped areas. The influence of timber harvest was incorporated through doubling the percentage of regenerating forest (up to a maximum of 100%) with corresponding decrease in the percentage of conifer/mixed forest. The influence of restoration was incorporated through converting all regenerating forest to conifer/mixed forest. The influence of climate change was addressed by incorporating predicted snowfall for 2055 from IPCC Scenario A2 into the static habitat model.
