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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Water (Basel) 2022-05, Vol.14 (10), p.1559
Hauptverfasser: Anjinho, Phelipe da Silva, Barbosa, Mariana Abibi Guimarães Araujo, Mauad, Frederico Fábio
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 10
container_start_page 1559
container_title Water (Basel)
container_volume 14
creator Anjinho, Phelipe da Silva
Barbosa, Mariana Abibi Guimarães Araujo
Mauad, Frederico Fábio
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.
doi_str_mv 10.3390/w14101559
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2670472610</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A793264355</galeid><sourcerecordid>A793264355</sourcerecordid><originalsourceid>FETCH-LOGICAL-c331t-89048f7b72da5b9df8a412bfb08997ce5bc134073f39a19f1570bdcb00a8bd723</originalsourceid><addsrcrecordid>eNpNUE1LAzEQDaJgqT34DwKePGxNNkmzObZl1ULFQ-vHbUmyiaRsk5psK_Xk3_Dv-UtcqYgzh3kM7808HgDnGA0JEejqDVOMMGPiCPRyxElGKcXH__ApGKS0Ql1RURQM9cBzuZPNVrYueBgsnPnHcrH8-vhM8Em2JsJSh7RPrVnDhYk7pw28C7VpEnQeSjiJ8t01Tnq42Ko2ho3TsoETmZw_AydWNskMfmcfPFyXy-ltNr-_mU3H80wTgtusEIgWliue15IpUdtCUpwrq1AhBNeGKY0J7fxbIiQWFjOOVK0VQrJQNc9JH1wc7m5ieN2a1FarsI2-e1nlI44oz0cYdazhgfUiG1M5b0Mbpe66NmungzfWdfsxFyQfUcJYJ7g8CHQMKUVjq010axn3FUbVT9jVX9jkG9LecI8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2670472610</pqid></control><display><type>article</type><title>Evaluation of InVEST’s Water Ecosystem Service Models in a Brazilian Subtropical Basin</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><creator>Anjinho, Phelipe da Silva ; Barbosa, Mariana Abibi Guimarães Araujo ; Mauad, Frederico Fábio</creator><creatorcontrib>Anjinho, Phelipe da Silva ; Barbosa, Mariana Abibi Guimarães Araujo ; Mauad, Frederico Fábio</creatorcontrib><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.</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. 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><subject>Aquatic resources</subject><subject>Aquifers</subject><subject>Brazil</subject><subject>Climate change</subject><subject>Decision making</subject><subject>Ecosystem services</subject><subject>Ecosystems</subject><subject>Exports</subject><subject>Hydrologic data</subject><subject>Hydrology</subject><subject>Land use</subject><subject>Management</subject><subject>Performance evaluation</subject><subject>Phosphorus</subject><subject>Precipitation</subject><subject>Purification</subject><subject>Resource management</subject><subject>River ecology</subject><subject>Solid suspensions</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Streamflow</subject><subject>Total suspended solids</subject><subject>Water</subject><subject>Water management</subject><subject>Water purification</subject><subject>Water resources management</subject><subject>Water shortages</subject><subject>Water yield</subject><subject>Watersheds</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUE1LAzEQDaJgqT34DwKePGxNNkmzObZl1ULFQ-vHbUmyiaRsk5psK_Xk3_Dv-UtcqYgzh3kM7808HgDnGA0JEejqDVOMMGPiCPRyxElGKcXH__ApGKS0Ql1RURQM9cBzuZPNVrYueBgsnPnHcrH8-vhM8Em2JsJSh7RPrVnDhYk7pw28C7VpEnQeSjiJ8t01Tnq42Ko2ho3TsoETmZw_AydWNskMfmcfPFyXy-ltNr-_mU3H80wTgtusEIgWliue15IpUdtCUpwrq1AhBNeGKY0J7fxbIiQWFjOOVK0VQrJQNc9JH1wc7m5ieN2a1FarsI2-e1nlI44oz0cYdazhgfUiG1M5b0Mbpe66NmungzfWdfsxFyQfUcJYJ7g8CHQMKUVjq010axn3FUbVT9jVX9jkG9LecI8</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Anjinho, Phelipe da Silva</creator><creator>Barbosa, Mariana Abibi Guimarães Araujo</creator><creator>Mauad, Frederico Fábio</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-2477-2019</orcidid></search><sort><creationdate>20220501</creationdate><title>Evaluation of InVEST’s Water Ecosystem Service Models in a Brazilian Subtropical Basin</title><author>Anjinho, Phelipe da Silva ; Barbosa, Mariana Abibi Guimarães Araujo ; Mauad, Frederico Fábio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-89048f7b72da5b9df8a412bfb08997ce5bc134073f39a19f1570bdcb00a8bd723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aquatic resources</topic><topic>Aquifers</topic><topic>Brazil</topic><topic>Climate change</topic><topic>Decision making</topic><topic>Ecosystem services</topic><topic>Ecosystems</topic><topic>Exports</topic><topic>Hydrologic data</topic><topic>Hydrology</topic><topic>Land use</topic><topic>Management</topic><topic>Performance evaluation</topic><topic>Phosphorus</topic><topic>Precipitation</topic><topic>Purification</topic><topic>Resource management</topic><topic>River ecology</topic><topic>Solid suspensions</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>Streamflow</topic><topic>Total suspended solids</topic><topic>Water</topic><topic>Water management</topic><topic>Water purification</topic><topic>Water resources management</topic><topic>Water shortages</topic><topic>Water yield</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anjinho, Phelipe da Silva</creatorcontrib><creatorcontrib>Barbosa, Mariana Abibi Guimarães Araujo</creatorcontrib><creatorcontrib>Mauad, Frederico Fábio</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anjinho, Phelipe da Silva</au><au>Barbosa, Mariana Abibi Guimarães Araujo</au><au>Mauad, Frederico Fábio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of InVEST’s Water Ecosystem Service Models in a Brazilian Subtropical Basin</atitle><jtitle>Water (Basel)</jtitle><date>2022-05-01</date><risdate>2022</risdate><volume>14</volume><issue>10</issue><spage>1559</spage><pages>1559-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>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.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w14101559</doi><orcidid>https://orcid.org/0000-0002-2477-2019</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2073-4441
ispartof Water (Basel), 2022-05, Vol.14 (10), p.1559
issn 2073-4441
2073-4441
language eng
recordid cdi_proquest_journals_2670472610
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T19%3A28%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluation%20of%20InVEST%E2%80%99s%20Water%20Ecosystem%20Service%20Models%20in%20a%20Brazilian%20Subtropical%20Basin&rft.jtitle=Water%20(Basel)&rft.au=Anjinho,%20Phelipe%20da%20Silva&rft.date=2022-05-01&rft.volume=14&rft.issue=10&rft.spage=1559&rft.pages=1559-&rft.issn=2073-4441&rft.eissn=2073-4441&rft_id=info:doi/10.3390/w14101559&rft_dat=%3Cgale_proqu%3EA793264355%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2670472610&rft_id=info:pmid/&rft_galeid=A793264355&rfr_iscdi=true