Bibliographic Details
| Title: |
Using explainable machine learning methods to evaluate vulnerability and restoration potential of ecosystem state transitions. |
| Authors: |
Delaney JT; U.S. Geological Survey, La Crosse, Wisconsin, USA., Larson DM; U.S. Geological Survey, La Crosse, Wisconsin, USA. |
| Source: |
Conservation biology : the journal of the Society for Conservation Biology [Conserv Biol] 2024 Jun; Vol. 38 (3), pp. e14203. Date of Electronic Publication: 2024 Jan 18. |
| Publication Type: |
Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: |
Publisher: Blackwell Publishing, Inc. on behalf of the Society for Conservation Biology Country of Publication: United States NLM ID: 9882301 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1523-1739 (Electronic) Linking ISSN: 08888892 NLM ISO Abbreviation: Conserv Biol Subsets: MEDLINE |
| Database: |
MEDLINE Ultimate |
