Evaluation of InVEST’s Water Ecosystem Service Models in a Brazilian Subtropical Basin
The biophysical modeling of water ecosystem services is crucial to understanding their availability, vulnerabilities, and fluxes. Among the most popular models, the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) models stand out. While many studies have used them, few have assess...
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description | The biophysical modeling of water ecosystem services is crucial to understanding their availability, vulnerabilities, and fluxes. Among the most popular models, the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) models stand out. While many studies have used them, few have assessed their performance. This study evaluates the performance of InVEST’s Seasonal Water Yield, Nutrient Delivery Ratio, and Sediment Delivery Ratio models in a subtropical basin in southeastern Brazil on temporal and spatial scales, using 39 years of streamflow data, 29 for total phosphorus and total nitrogen, and 19 for total suspended solids. Statistical indicators R2, PBIAS, and NSE, were also calculated. The performance of the models varied according to the type of simulated WES and analysis scales used, with the Seasonal Water Yield model demonstrating the best performance and effectively representing the spatial and temporal variability of the average annual streamflow. All models performed well in simulating long-term mean values when compared to observed data. While one should bear in mind the study’s limitations, the results indicate that the models perform well in terms of relative magnitude, although their application in studies involving water-resource management and decision making is limited. |
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Among the most popular models, the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) models stand out. While many studies have used them, few have assessed their performance. This study evaluates the performance of InVEST’s Seasonal Water Yield, Nutrient Delivery Ratio, and Sediment Delivery Ratio models in a subtropical basin in southeastern Brazil on temporal and spatial scales, using 39 years of streamflow data, 29 for total phosphorus and total nitrogen, and 19 for total suspended solids. Statistical indicators R2, PBIAS, and NSE, were also calculated. The performance of the models varied according to the type of simulated WES and analysis scales used, with the Seasonal Water Yield model demonstrating the best performance and effectively representing the spatial and temporal variability of the average annual streamflow. All models performed well in simulating long-term mean values when compared to observed data. While one should bear in mind the study’s limitations, the results indicate that the models perform well in terms of relative magnitude, although their application in studies involving water-resource management and decision making is limited.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w14101559</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Aquatic resources ; Aquifers ; Brazil ; Climate change ; Decision making ; Ecosystem services ; Ecosystems ; Exports ; Hydrologic data ; Hydrology ; Land use ; Management ; Performance evaluation ; Phosphorus ; Precipitation ; Purification ; Resource management ; River ecology ; Solid suspensions ; Stream discharge ; Stream flow ; Streamflow ; Total suspended solids ; Water ; Water management ; Water purification ; Water resources management ; Water shortages ; Water yield ; Watersheds</subject><ispartof>Water (Basel), 2022-05, Vol.14 (10), p.1559</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-89048f7b72da5b9df8a412bfb08997ce5bc134073f39a19f1570bdcb00a8bd723</citedby><cites>FETCH-LOGICAL-c331t-89048f7b72da5b9df8a412bfb08997ce5bc134073f39a19f1570bdcb00a8bd723</cites><orcidid>0000-0002-2477-2019</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids></links><search><creatorcontrib>Anjinho, Phelipe da Silva</creatorcontrib><creatorcontrib>Barbosa, Mariana Abibi Guimarães Araujo</creatorcontrib><creatorcontrib>Mauad, Frederico Fábio</creatorcontrib><title>Evaluation of InVEST’s Water Ecosystem Service Models in a Brazilian Subtropical Basin</title><title>Water (Basel)</title><description>The biophysical modeling of water ecosystem services is crucial to understanding their availability, vulnerabilities, and fluxes. 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subjects | Aquatic resources Aquifers Brazil Climate change Decision making Ecosystem services Ecosystems Exports Hydrologic data Hydrology Land use Management Performance evaluation Phosphorus Precipitation Purification Resource management River ecology Solid suspensions Stream discharge Stream flow Streamflow Total suspended solids Water Water management Water purification Water resources management Water shortages Water yield Watersheds |
title | Evaluation of InVEST’s Water Ecosystem Service Models in a Brazilian Subtropical Basin |
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