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Updated: Mar 10, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Understanding Peripheral Bat Populations Using Maximum-Entropy Suitability Modeling.

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  • 1Dickinson State University, Dickinson, North Dakota, United States of America.

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Summary
This summary is machine-generated.

Habitat suitability models reveal temperature, not precipitation, drives species distribution at the periphery. This research updates current range maps and informs conservation for peripheral populations facing environmental change.

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Area of Science:

  • Ecology
  • Conservation Biology
  • Biogeography

Background:

  • Peripheral populations face harsher conditions than central ones, potentially altering habitat and behavior.
  • Traditional species distribution maps lack fine-scale detail on factors influencing species occurrence.
  • Habitat suitability modeling offers a more refined approach for regional conservation planning.

Purpose of the Study:

  • To create habitat suitability models for seven species at the North Dakota periphery using maximum-entropy modeling.
  • To identify key vegetative and climatic factors influencing species distribution in peripheral areas.
  • To assess the accuracy of current IUCN distribution maps for North Dakota and the northern Great Plains.

Main Methods:

  • Utilized maximum-entropy modeling to generate habitat suitability models.
  • Analyzed vegetative and climatic variables driving species occurrence.
  • Conducted mistnetting to document species presence and validate model predictions.

Main Results:

  • Identified temperature as the primary climatic driver, with precipitation being less influential.
  • Discovered five species occurring outside their previously mapped IUCN distributions in North Dakota.
  • Highlighted the inadequacy of current range maps for the region.

Conclusions:

  • Habitat suitability modeling provides crucial fine-scale insights beyond traditional distribution maps.
  • Temperature is a more significant factor than precipitation for species at the study area's periphery.
  • Updated distribution data and refined modeling are essential for effective conservation of peripheral populations facing environmental shifts.