Quantifying ecosystem states and state transitions of the Upper Mississippi River System using topological data analysis.
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| Title: | Quantifying ecosystem states and state transitions of the Upper Mississippi River System using topological data analysis. |
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| Authors: | Larson DM; U.S. Geological Survey, Upper Midwest Environmental Sciences Center, La Crosse, Wisconsin, United States of America., Bungula W; University of Wisconsin La-Crosse, Department of Mathematics and Statistics, La Crosse, Wisconsin, United States of America., McKean C; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America., Stockdill A; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America., Lee A; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America., Miller FF; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America., Davis K; University of Wisconsin La-Crosse, Research Experience for Undergraduates Program, La Crosse, Wisconsin, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2023 Jun 07; Vol. 19 (6), pp. e1011147. Date of Electronic Publication: 2023 Jun 07 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1011147 |
