4.6 Article

Comparing Methods for Estimating Habitat Suitability

期刊

LAND
卷 11, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/land11101754

关键词

conservation; ecology; GIS; habitat suitability; indicators; land use; cover; spatial data; watershed

资金

  1. National Institute of Food and Agriculture of USDA [2018-68002-27920]
  2. USDA-NIFA [2017-38821-26405, 2022-38821-37522]
  3. USDA-NIFA Evans-Allen Project [11979180/2016-01711]
  4. National Science Foundation [1735235]
  5. U.S. Department of Education GAANN Program: GAANN: Meeting the Needs of the Nation's Infrastructure through Civil Engineering at Florida AM University [P200A180074]

向作者/读者索取更多资源

Habitat suitability refers to the ability of a habitat to support living organisms. This study compares three methods for estimating habitat suitability and provides guidelines for choosing the appropriate method for conservation. The multiple habitat suitability maps created using these methods shed light on the suitability of the Choctawhatchee River Watershed.
Habitat suitability (HS) describes the ability of the habitat to support living organisms. There are several approaches to estimate habitat suitability. These approaches are specific to a species or habitat or estimate general HS broadly across multiple species or habitats. The objectives of the study were to compare the approaches for estimating HS and to provide guidelines for choosing an appropriate HS method for conservation. Three HS estimation methods were used. Method 1 scores the suitability based on the naturality of the habitat. Method 2 uses the average of HS values found in the literature. Method 3 uses the species richness as an indicator for HS. The methods were applied to a case study in the Choctawhatchee River Watershed. GIS applications were used to model the suitability of the watershed. The advantages and disadvantages of the HS methods were then summarized. The multiple HS maps created using the three methods display the suitability of the watershed. The highest suitability occurred in the southern parts of the region. Finally, a decision support tool was developed to help determine which approach to select based on the available data and research goals.

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