Modeling the Supporting Ecosystem Services of Depressional Wetlands in Agricultural Landscapes
Autor: | Cali L. Roth, David M. Mushet |
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Rok vydání: | 2020 |
Předmět: |
geography
Geographic information system geography.geographical_feature_category 010504 meteorology & atmospheric sciences Ecology business.industry Environmental resource management Biodiversity Wetland 010501 environmental sciences 01 natural sciences Ecosystem services Ecoregion Habitat Abundance (ecology) Environmental Chemistry Landscape ecology business 0105 earth and related environmental sciences General Environmental Science |
Zdroj: | Wetlands. 40:1061-1069 |
ISSN: | 1943-6246 0277-5212 |
DOI: | 10.1007/s13157-020-01297-2 |
Popis: | We explored how a geographic information system modeling approach could be used to quantify supporting ecosystem services related to the type, abundance, and distribution of landscape components. Specifically, we use the Integrated Valuation of Ecosystem Services and Tradeoffs model to quantify habitats that support amphibians and birds, floral resources that support pollinators, native-plant communities that support regional biodiversity, and above- and below-ground carbon stores in the Des Moines Lobe ecoregion of the U.S. We quantified services under two scenarios, one that represented the 2012 Des Moines Lobe landscape, and one that simulated the conversion to crop production of wetlands and surrounding uplands conserved under the USDA Agricultural Conservation Easement Program (ACEP). While ACEP easements only covered 0.35% of the ecoregion, preserved wetlands and grasslands provided for 19,020 ha of amphibian habitat, 21,462 ha of grassland-bird habitat, 18,798 ha of high-quality native wetland plants, and 27,882 ha of floral resources for pollinators. Additionally, ACEP protected lands stored 257,722 t of carbon that, if released, would result in costs in excess of 45-million USD. An integrated approach using results from a GIS-based model in combination with process-based model quantifications will facilitate more informed decisions related to ecosystem service tradeoffs. |
Databáze: | OpenAIRE |
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