| RRC ID |
68759
|
| 著者 |
Richardson LL, Dunne J, Feken M, Brain R, Ghebremichael L, Winchell M.
|
| タイトル |
Probabilistic co-occurrence assessment for suites of listed species.
|
| ジャーナル |
Integr Environ Assess Manag
|
| Abstract |
Section 7 of the Endangered Species Act requires the US Environmental Protection Agency (EPA) to consult with the Services (US Fish and Wildlife Service and National Marine Fisheries Service) over potential pesticide impacts to federally listed species. Consultation is complicated by the large number of pesticide products and listed species, as well as by lack of consensus on best practices for conducting co-occurrence analyses. Previous work demonstrates that probabilistic estimates of species' ranges and pesticide use patterns improve these analyses. Here we demonstrate that such estimates can be made for suites of sympatric listed species. Focusing on two watersheds, one in in Iowa and the other in Mississippi, we obtained distribution records for 13 species of terrestrial and aquatic listed plants and animals occurring therein. We used maximum entropy modeling and bioclimatic, topographic, hydrographic, and land cover variables to predict species' ranges at high spatial resolution. We constructed probabilistic spatial models of use areas for two pesticides based on the United States Department of Agriculture Cropland Data Layer and reduced classification errors by incorporating information on the relationships between individual pixels and their neighbors using object-based images analysis. We then combined species distribution and crop footprint models to derive overall probability of co-occurrence of listed species and pesticide use. For aquatic species, we also integrated an estimate of downstream residue transport. We report each separate species-by-use-area co-occurrence estimate, and also combine these modeled co-occurrence probabilities across species within watersheds to produce an overall metric of potential pesticide exposure risk for these listed species at the watershed level. We propose that the consultation process between EPA and the Services be based on such batched estimation of probabilistic co-occurrence for multiple listed species at a regional scale. This article is protected by copyright. All rights reserved.
|
| 巻・号 |
18(4)
|
| ページ |
1088-1100
|
| 公開日 |
2021-10-25
|
| DOI |
10.1002/ieam.4542
|
| PMID |
34694059
|
| MeSH |
Agriculture
Animals
Models, Statistical
Pesticides* / analysis
Risk Assessment / methods
United States
United States Environmental Protection Agency
|
| リソース情報 |
| GBIF |
Shellfish specimens of the Nishinomiya Shell Museum, Japan
Fish collection of National Museum of Nature and Science
Fish Collection of Kanagawa Prefectural Museum of Natural History
Molluscan collection of Osaka Museum of Natural History |
