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In this sense, urgent strategies are required to mitigate the impacts of climate change on soil systems. This study aimed to assess the susceptibility to soil erosion as a means to support sustainable land-use planning in the municipality of An\u00e1polis, presenting a highly disturbed landscape in Brazil. To achieve this, we applied the Information Value (IV) technique\u2014a Bayesian statistical method based on frequency analysis\u2014which quantifies the influence of various geoenvironmental factors on the probability of erosion occurrence by statistically evaluating their relationship with past erosion events. The results showed that approximately 50% of the municipality is highly susceptible to erosion, and for this reason, these areas should be prioritized by public authorities. The proposed geoenvironmental model demonstrated a satisfactory accuracy (~80%), confirming its effectiveness as a tool to enhance soil resilience.<\/jats:p>","DOI":"10.3390\/su18041878","type":"journal-article","created":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T09:48:34Z","timestamp":1770889714000},"page":"1878","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Assessing Soil Erosion Susceptibility in a Tropical Landscape: Insights from a Brazilian Case Study"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5393-3803","authenticated-orcid":false,"given":"Jo\u00e3o Vitor Roque","family":"Guerrero","sequence":"first","affiliation":[{"name":"Institute of Socio-Environmental Studies, Federal University of Goi\u00e1s (UFG), Goi\u00e2nia 74690-900, GO, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9437-9351","authenticated-orcid":false,"given":"Elton Vicente","family":"Escobar-Silva","sequence":"additional","affiliation":[{"name":"National Center for Monitoring and Early Warning of Natural Disasters (Cemaden), S\u00e3o Jos\u00e9 dos Campos 12247-016, SP, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6523-3169","authenticated-orcid":false,"given":"Cl\u00e1udia Maria","family":"de Almeida","sequence":"additional","affiliation":[{"name":"Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), S\u00e3o Jos\u00e9 dos Campos 12227-010, SP, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4183-6790","authenticated-orcid":false,"given":"Cintia","family":"Campos","sequence":"additional","affiliation":[{"name":"Faculty of Science and Technology, Federal University of Goi\u00e1s (UFG), Goi\u00e2nia 74971-451, GO, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6703-5377","authenticated-orcid":false,"given":"Jos\u00e9 Augusto","family":"Di Lollo","sequence":"additional","affiliation":[{"name":"Ilha Solteira College of Engineering, S\u00e3o Paulo State University, Ilha Solteira 15385-000, SP, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1764-0659","authenticated-orcid":false,"given":"Alberto","family":"Gomes","sequence":"additional","affiliation":[{"name":"CEGOT\u2014Centre of Studies in Geography and Spatial Planning, Faculty of Arts and Humanities of Porto, University of Porto, Via Panor\u00e2mica s\/n, 4150-564 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6159-4701","authenticated-orcid":false,"given":"Fabrizia Gioppo","family":"Nunes","sequence":"additional","affiliation":[{"name":"Institute of Socio-Environmental Studies, Federal University of Goi\u00e1s (UFG), Goi\u00e2nia 74690-900, GO, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2026,2,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.iswcr.2019.05.004","article-title":"Using the USLE: Chances, Challenges and Limitations of Soil Erosion Modelling","volume":"7","author":"Alewell","year":"2019","journal-title":"Int. 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Soil Erosion and Conservation, Bertrand Brasil."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"103921","DOI":"10.1016\/j.earscirev.2022.103921","article-title":"Global Impact of Climate Change on Soil Erosion and Potential for Adaptation through Soil Conservation","volume":"226","author":"Eekhout","year":"2022","journal-title":"Earth Sci. Rev."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"123","DOI":"10.3354\/cr00953","article-title":"Changes in Precipitation with Climate Change","volume":"47","author":"Trenberth","year":"2011","journal-title":"Clim. Res."},{"key":"ref_8","unstructured":"UN\u2014United Nations (2022). Human Development Report 2021\/2022: Uncertain Times, Unsettled Lives: Shaping Our Future in a Transforming World, United Nations Development Programme."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"21994","DOI":"10.1073\/pnas.2001403117","article-title":"Land Use and Climate Change Impacts on Global Soil Erosion by Water (2015\u20132070)","volume":"117","author":"Borrelli","year":"2020","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_10","first-page":"1","article-title":"Impact of Soil Erosion and Degradation on Water Quality: A Review","volume":"1","author":"Issaka","year":"2017","journal-title":"Geol. Ecol. Landsc."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Katra, I. (2020). Soil Erosion by Wind and Dust Emission in Semi-Arid Soils Due to Agricultural Activities. Agronomy, 10.","DOI":"10.3390\/agronomy10010089"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.still.2018.02.001","article-title":"Accelerated Soil Erosion as a Source of Atmospheric CO2","volume":"188","author":"Lal","year":"2019","journal-title":"Soil Tillage Res."},{"key":"ref_13","unstructured":"WBG\u2014World Bank Group (2023). Publication: Brazil Country Climate and Development Report, The World Bank Group."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/S2095-6339(15)30029-0","article-title":"The Expansion of Brazilian Agriculture: Soil Erosion Scenarios","volume":"1","author":"Merten","year":"2013","journal-title":"Int. Soil Water Conserv. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/S0921-8009(02)00089-7","article-title":"A Typology for the Classification, Description and Valuation of Ecosystem Functions, Goods and Services","volume":"41","author":"Wilson","year":"2002","journal-title":"Ecol. Econ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"28426","DOI":"10.1038\/srep28426","article-title":"Defining and Quantifying the Resilience of Responses to Disturbance: A Conceptual and Modelling Approach from Soil Science","volume":"6","author":"Todman","year":"2016","journal-title":"Sci. Rep."},{"key":"ref_17","unstructured":"Ross, J.L.S. (2006). Ecogeografia Do Brasil: Subs\u00eddios Para Planejamento Ambiental, Oficina de Textos. [1st ed.]."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"51","DOI":"10.31026\/j.eng.2025.08.04","article-title":"Using Geographic Information Systems (GIS) in Environmental Risk Analysis and Assessment: A Case Study on Baghdad City","volume":"31","author":"Alanbagi","year":"2025","journal-title":"J. Eng."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"e26728","DOI":"10.1016\/j.heliyon.2024.e26728","article-title":"Soil Erodibility Mapping of Hilly Watershed Using Analytical Hierarchy Process and Geographical Information System: A Case of Chittagong Hill Tract, Bangladesh","volume":"10","author":"Zumara","year":"2024","journal-title":"Heliyon"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"173","DOI":"10.26833\/ijeg.1544048","article-title":"Decadal Evolution of GIS in Disaster Management and Risk Assessment","volume":"10","author":"Tarhan","year":"2025","journal-title":"Int. J. Eng. Geosci."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Lu, Y., Liu, Y., Sun, Y., Liu, C., Li, X., Wang, R., Li, J., and Yao, K. (2023). A Novel Method for Analyzing the Spatial and Temporal Distribution of Freeze-Thaw Erosion Based on a Similar Information Value Model: A Case Study of the China-Mongolia-Russia Economic Corridor Region. Geomat. Nat. Hazards Risk, 14.","DOI":"10.1080\/19475705.2023.2285717"},{"key":"ref_22","first-page":"573","article-title":"Utilizing Remote Sensing and GIS to Study Natural Disasters \u201cVolcanoes\u201d and Their Impact on Climate Change","volume":"7","author":"Alshehri","year":"2025","journal-title":"J. Environ. Earth Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"125478","DOI":"10.1016\/j.jenvman.2025.125478","article-title":"Prediction of Gully Erosion Susceptibility through the Lens of the SHapley Additive ExPlanations (SHAP) Method Using a Stacking Ensemble Model","volume":"383","author":"Han","year":"2025","journal-title":"J. Environ. Manag."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Ou, H., Mu, X., Yuan, Z., Yang, X., Liao, Y., Nguyen, K.L., and Sombatpanit, S. (2024). Mapping Benggang Erosion Susceptibility: An Analysis of Environmental Influencing Factors Based on the Maxent Model. Sustainability, 16.","DOI":"10.3390\/su16177328"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"101196","DOI":"10.1016\/j.ejrh.2022.101196","article-title":"Gully Erosion Susceptibility Considering Spatiotemporal Environmental Variables: Midwest U.S. Region","volume":"43","author":"Han","year":"2022","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1007\/s12665-012-2205-y","article-title":"A GIS-Based Approach for Gully Erosion Susceptibility Modelling: A Test in Sicily, Italy","volume":"70","author":"Conoscenti","year":"2013","journal-title":"Environ. Earth Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"6396","DOI":"10.1002\/ldr.70077","article-title":"Modeling Soil Erosion Susceptibility Using Machine Learning Techniques: Rud-e-Faryab Basin, Iran","volume":"36","author":"Safdari","year":"2025","journal-title":"Land Degrad. Dev."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Aboutaib, F., Krimissa, S., Pradhan, B., Elaloui, A., Ismaili, M., Abdelrahman, K., Eloudi, H., Ouayah, M., Ourribane, M., and Namous, M. (2023). Evaluating the Effectiveness and Robustness of Machine Learning Models with Varied Geo-Environmental Factors for Determining Vulnerability to Water Flow-Induced Gully Erosion. Front. Environ. Sci., 11.","DOI":"10.3389\/fenvs.2023.1207027"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Bouramtane, T., Hilal, H., Rezende-Filho, A.T., Bouramtane, K., Barbiero, L., Abraham, S., Valles, V., Kacimi, I., Sanhaji, H., and Torres-Rondon, L. (2022). Mapping Gully Erosion Variability and Susceptibility Using Remote Sensing, Multivariate Statistical Analysis, and Machine Learning in South Mato Grosso, Brazil. Geosciences, 12.","DOI":"10.3390\/geosciences12060235"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"35","DOI":"10.4314\/etsj.v15i1.4","article-title":"Assessment of Soil Erosion Susceptibility Using Multi-Criteria Analysis","volume":"15","author":"Adesina","year":"2024","journal-title":"Environ. Technol. Sci. J."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"e20191120","DOI":"10.1590\/0001-3765202120191120","article-title":"Integrated Environmental Management and Planning Based on Soil Erosion Susceptibility Scenarios","volume":"93","author":"Weiler","year":"2021","journal-title":"An. Acad. Bras. Cienc."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1038\/s41597-025-04406-0","article-title":"Soil Erosion Susceptibility Maps and Raster Dataset for the Hydrological Basins of North Africa","volume":"12","author":"Salhi","year":"2025","journal-title":"Sci. Data"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Bouamrane, A., Kantoush, S.A., Dahri, N., Bouamrane, A., Saber, M., Boutaghane, H., Abida, H., Sumi, T., Sohei, K., and Mabrouk, E. (2025). Simulation of Erosion Susceptibility in the Medjerda Watershed under Different Climate Change Scenarios. Georisk Assess. Manag. Risk Eng. Syst. Geohazards, 1\u201324.","DOI":"10.1080\/17499518.2025.2559372"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Da Fonseca, E.L., and da Silva Filho, E.P. (2023). Binary Logistic Regression Applied to Erosion Susceptibility Mapping in the Southern Amazon. Rev. Bras. Geomorfol., 24.","DOI":"10.20502\/rbgeomorfologia.v24i4.2314"},{"key":"ref_35","first-page":"191","article-title":"Susceptibility to Water Erosion of Soils from the Municipality Salto Do C\u00e9u, SW Mato Grosso State, Brazil","volume":"38","author":"Nunes","year":"2013","journal-title":"Geografia"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1007\/s10661-022-10632-5","article-title":"Erosion Susceptibility Mapping in the Central-Eastern Region of S\u00e3o Paulo in the Last Few Decades","volume":"194","author":"Bueno","year":"2022","journal-title":"Environ. Monit. Assess."},{"key":"ref_37","unstructured":"Pereira, A.R., Trindade, J., Garcia, R., de Oliveira, S.C., and Paix\u00e3o, R. (2006). The Importance of the Data Classification Process in Cartography: An Example in Cartography of Susceptibility to Slope Movements. Geomorphological Dynamics. Methodologies. Application, Oficina de Texto."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"108070","DOI":"10.1016\/j.catena.2024.108070","article-title":"Assessing Gully Erosion Susceptibility Dynamics Using Information Value and Hazard Index Methods: A Case Study of Agulu-Nanka Watershed, Southeast Nigeria","volume":"241","author":"Fagbohun","year":"2024","journal-title":"Catena"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.1016\/j.gsf.2019.11.009","article-title":"Comparison of Machine Learning Models for Gully Erosion Susceptibility Mapping","volume":"11","author":"Arabameri","year":"2020","journal-title":"Geosci. Front."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"5857","DOI":"10.1002\/joc.8670","article-title":"Mapping Climatic Regions of the Cerrado: General Patterns and Future Change","volume":"44","author":"Cattelan","year":"2024","journal-title":"Int. J. Climatol."},{"key":"ref_41","unstructured":"IBGE\u2014Brazilian Institute of Geography and Statistics (2025, June 19). Cities\u2014An\u00e1polis, Available online: https:\/\/cidades.ibge.gov.br\/brasil\/go\/anapolis\/panorama."},{"key":"ref_42","unstructured":"Google Inc (2022, June 23). Google Earth. Available online: https:\/\/www.google.com.br\/intl\/pt-BR\/earth\/."},{"key":"ref_43","unstructured":"Nunes, B.d.A. (2009). Manual T\u00e9cnico de Geomorfologia, IBGE."},{"key":"ref_44","unstructured":"Pinho, D., and Fernandes, R.L.G. (2024). Susceptibility Chart to Gravitational Mass Movements and Flooding: Municipality of An\u00e1polis\u2014GO (Carta de Suscetibilidade a Movimentos Gravitacionais de Massa e Inunda\u00e7\u00e3o: Munic\u00edpio de An\u00e1polis\u2014GO), CPRM."},{"key":"ref_45","unstructured":"Brazil (2025, May 07). MapBiomas Project Brazilian Land Use Land Cover 2024. Available online: https:\/\/brasil.mapbiomas.org\/."},{"key":"ref_46","unstructured":"Guerra, A.J.T., da Silva, A.S., and Botelho, R.G.M. (2012). Processos Erosivos No Dom\u00ednio Do Cerrado. Eros\u00e3o e Conserva\u00e7\u00e3o dos Solos, Berttrand Brasil."},{"key":"ref_47","unstructured":"CEMADEN\u2014National Center for Natural Disaster Monitoring and Alerts (2025, January 19). Monitored Municipalities (Munic\u00edpios Monitorados), Available online: http:\/\/www2.cemaden.gov.br\/municipios-monitorados-2\/."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Ortega Adarme, M., Queiroz Feitosa, R., Nigri Happ, P., Aparecido De Almeida, C., and Rodrigues Gomes, A. (2020). Evaluation of Deep Learning Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery. Remote Sens., 12.","DOI":"10.3390\/rs12060910"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1119","DOI":"10.1007\/s10661-023-11782-w","article-title":"Environmental Vulnerability Assessment of the Doce River Basin, Southeastern Brazil","volume":"195","author":"Campos","year":"2023","journal-title":"Environ. Monit. Assess."},{"key":"ref_50","first-page":"3473","article-title":"Spatial Modeling of Water Erosion Vulnerability and Mapping Potential Sites of Control Measures Using GIS and MCDM: A Case Study from the Drylands of Southeastern Morocco","volume":"9","author":"Ouali","year":"2023","journal-title":"Model. Earth Syst. Environ."},{"key":"ref_51","first-page":"111","article-title":"Potencial Erosivo de Um Solo Tropical Na Regi\u00e3o de An\u00e1polis-Go","volume":"5","author":"Silva","year":"2022","journal-title":"RECIEC\u2014Rev. Cient\u00edfica Eng. Civ."},{"key":"ref_52","unstructured":"Santos, R.C.N.d.O. (2025, June 12). Analysis of the Erodibility Potential of the Soil in An\u00e1polis\u2014GO Through Environmental Fragility. Available online: https:\/\/repositorio.ifg.edu.br\/handle\/prefix\/1304\/."},{"key":"ref_53","unstructured":"De Jesus, A.S. (2013). Multidisciplinary Investigation of Linear Erosion Processes: Case Study of the City of An\u00e1polis. [Ph.D. Thesis, University of Brasilia]."},{"key":"ref_54","unstructured":"INPE\u2014National Institute for Space Research (2025, May 13). TOPODATA: Brazilian Geomorphometric Database. Available online: http:\/\/www.dsr.inpe.br\/topodata\/index.php."},{"key":"ref_55","unstructured":"IBGE\u2014Brazilian Institute of Geography and Statistics (2025, May 04). Pedology 1:250.000, Available online: https:\/\/geoftp.ibge.gov.br\/informacoes_ambientais\/pedologia\/mapas\/."},{"key":"ref_56","unstructured":"Watkins, D. (2025, May 13). 30-Meter SRTM Tile Downloader. Available online: https:\/\/dwtkns.com\/srtm30m\/."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.catena.2019.04.032","article-title":"Gully Erosion Susceptibility Mapping Using GIS-Based Multi-Criteria Decision Analysis Techniques","volume":"180","author":"Arabameri","year":"2019","journal-title":"Catena"},{"key":"ref_58","unstructured":"Yin, K., and Yan, T. (1988, January 10\u201315). Statistical Prediction Models for Slope Instability of Metamorphosed Rocks. Proceedings of the Fifth International Symposium on Landslides, Lausanne, Switzerland."},{"key":"ref_59","unstructured":"Z\u00eazere, J.L. (2001). Distribution and Rhythm of Slope Movements in the Region North of Lisbon, Universidade de Lisboa\u2014Centro de Estudos Geogr\u00e1ficos."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/TSSC.1966.300074","article-title":"Information Value Theory","volume":"2","author":"Howard","year":"1966","journal-title":"IEEE Trans. Syst. Sci. Cybern."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Wang, Z., Badiu, M.-A., and Coon, J.P. (2021). Relationship between Age and Value of Information for a Noisy Ornstein\u2013Uhlenbeck Process. Entropy, 23.","DOI":"10.3390\/e23080940"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.enggeo.2005.02.002","article-title":"Landslide Susceptibility Mapping: A Comparison of Logistic Regression and Neural Networks Methods in a Medium Scale Study, Hendek Region (Turkey)","volume":"79","author":"Yesilnacar","year":"2005","journal-title":"Eng. Geol."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.1126\/science.3287615","article-title":"Measuring the Accuracy of Diagnostic Systems","volume":"240","author":"Swets","year":"1988","journal-title":"Science"},{"key":"ref_64","unstructured":"Lepsch, I.F., Espindola, C.R., Vischi Filho, O.J., Hernani, L.C., and Siqueira, D.S. (2015). Manual Para Levantamento Utilit\u00e1rio e Classifica\u00e7\u00e3o de Terras No Sistema de Capacidade de Uso, Embrapa Solos."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"373","DOI":"10.31413\/nativa.v10i3.13913","article-title":"Rainfall Erosivity in Municipalities of the Brazilian Cerrado Biome","volume":"10","author":"Castagna","year":"2022","journal-title":"Nativa"},{"key":"ref_66","unstructured":"Brazil (2025, March 07). What Are Permanent Preservation Areas?. Available online: https:\/\/www12.senado.leg.br\/noticias\/materias\/2009\/04\/29\/o-que-sao-as-areas-de-preservacao-permanente."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1007\/s42452-020-2563-0","article-title":"Landslide Susceptibility Mapping Using Information Value and Logistic Regression Models in Goncha Siso Eneses Area, Northwestern Ethiopia","volume":"2","author":"Wubalem","year":"2020","journal-title":"SN Appl. Sci."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Ji, J., Zhou, Y., Cheng, Q., Jiang, S., and Liu, S. (2023). Landslide Susceptibility Mapping Based on Deep Learning Algorithms Using Information Value Analysis Optimization. Land, 12.","DOI":"10.3390\/land12061125"},{"key":"ref_69","first-page":"197","article-title":"Landslide Susceptibility Mapping Using Information Value and Frequency Ratio for the Arzew Sector (North-Western of Algeria)","volume":"160","author":"Abdelmansour","year":"2018","journal-title":"Bull. Miner. Res. Explor."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1007\/s40808-018-0560-8","article-title":"Spatial Prediction of Susceptibility to Gully Erosion in Jainti River Basin, Eastern India: A Comparison of Information Value and Logistic Regression Models","volume":"5","author":"Hembram","year":"2019","journal-title":"Model. Earth Syst. Environ."},{"key":"ref_71","first-page":"123","article-title":"Fragilidade Ambiental: Uma Proposta de Aplica\u00e7\u00e3o de Geomorphons Para a Vari\u00e1vel Relevo","volume":"37","author":"Gouveia","year":"2019","journal-title":"Geogr. Dep. Univ. Sao Paulo"},{"key":"ref_72","first-page":"127","article-title":"An\u00e1lise Integrada Do Meio F\u00edsico Como Subs\u00eddio Ao Diagn\u00f3stico de Processos Erosivos Na Bacia Do Ribeir\u00e3o Extrema Em An\u00e1polis (GO)","volume":"29","author":"Teixeira","year":"2010","journal-title":"Bol. Goiano Geogr."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1080\/00224561.2004.12435709","article-title":"Expected Climate Change Impacts on Soilerosion Rates: A Review","volume":"59","author":"Nearing","year":"2004","journal-title":"J. Soil Water Conserv."},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Roque Guerrero, J.V., De Lollo, J.A., and Lorandi, R. (2016). Cartografia Geoambiental Como Base Para Planejamento Territorial Na Bacia Do Rio Clarinho, SP. Rev. Bras. Cartogr., 68.","DOI":"10.14393\/rbcv68n2-44397"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"4060","DOI":"10.1111\/gcb.15712","article-title":"The Brazilian Cerrado Is Becoming Hotter and Drier","volume":"27","author":"Hofmann","year":"2021","journal-title":"Glob. Change Biol."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1038\/nclimate2941","article-title":"More Extreme Precipitation in the World\u2019s Dry and Wet Regions","volume":"6","author":"Donat","year":"2016","journal-title":"Nat. Clim. Change"},{"key":"ref_77","unstructured":"IBGE\u2014Brazilian Institute of Geography and Statistics (2024, December 07). Environmental Information: Soils, Available online: https:\/\/www.ibge.gov.br\/geociencias\/downloads-geociencias.html."},{"key":"ref_78","unstructured":"Becker, B., and Egler, C.A. (1996). Detalhamento Da Metodologia Para Execu\u00e7\u00e3o Do Zoneamento Ecol\u00f3gico-Econ\u00f4mico Pelos Estados Da Amaz\u00f4nia Legal, EMBRAPA."},{"key":"ref_79","unstructured":"Guerra, A.J.T., and Cunha, S.B. (2007). Processos Erosivos Nas Encostas. Geomorfologia Uma Atualiza\u00e7\u00e3o de Bases e Conceitos, Beertrand Brasil."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Viana, J.S., Goncalves, E.P., Silva, A.C., and Matos, V.P. (2013). Climatic Conditions and Production of Soybean in Northeastern Brazil. A Comprehensive Survey of International Soybean Research\u2014Genetics, Physiology, Agronomy and Nitrogen Relationships, InTech.","DOI":"10.5772\/52184"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1002\/esp.5033","article-title":"Gully Prevention and Control: Techniques, Failures and Effectiveness","volume":"46","author":"Frankl","year":"2021","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.iswcr.2020.04.004","article-title":"Surface Runoff and Soil Erosion in a Natural Regeneration Area of the Brazilian Cerrado","volume":"8","author":"Panachuki","year":"2020","journal-title":"Int. Soil Water Conserv. Res."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.iswcr.2021.08.001","article-title":"Conservation Management Decreases Surface Runoff and Soil Erosion","volume":"10","author":"Du","year":"2022","journal-title":"Int. Soil Water Conserv. Res."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"104352","DOI":"10.1016\/j.catena.2019.104352","article-title":"Long-Term Effectiveness of Sustainable Land Management Practices to Control Runoff, Soil Erosion, and Nutrient Loss and the Role of Rainfall Intensity in Mediterranean Rainfed Agroecosystems","volume":"187","author":"Almagro","year":"2020","journal-title":"Catena"},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Ame, M.A., Wei, W., Zhang, S., Liu, W., and Chen, L. (2025). The Effects of Rainfall and Terracing\u2013Mulch Combinations on Soil Erosion in a Loess Hilly Area, China: Insights from Plot Simulations and WEPP Modeling. Land, 14.","DOI":"10.3390\/land14020432"},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Apollonio, C., Petroselli, A., Tauro, F., Cecconi, M., Biscarini, C., Zarotti, C., and Grimaldi, S. (2021). Hillslope Erosion Mitigation: An Experimental Proof of a Nature-Based Solution. Sustainability, 13.","DOI":"10.3390\/su13116058"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"133","DOI":"10.5194\/soil-8-133-2022","article-title":"The Effect of Natural Infrastructure on Water Erosion Mitigation in the Andes","volume":"8","author":"Vanacker","year":"2022","journal-title":"Soil"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.scitotenv.2019.05.221","article-title":"Effects of Soil Erosion and Reforestation on Soil Respiration, Organic Carbon and Nitrogen Stocks in an Eroded Area of Southern China","volume":"683","author":"Yao","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1038\/s43017-020-0091-5","article-title":"Deforestation and Reforestation Impacts on Soils in the Tropics","volume":"1","author":"Veldkamp","year":"2020","journal-title":"Nat. Rev. Earth Environ."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"104306","DOI":"10.1016\/j.landusepol.2019.104306","article-title":"Effectiveness and Feasibility of Different Management Practices to Reduce Soil Erosion in an Agricultural Watershed","volume":"90","author":"Ricci","year":"2020","journal-title":"Land Use Policy"},{"key":"ref_91","unstructured":"Dos Santos, R.F. (2007). Planejamento Ambiental: Teoria e Pr\u00e1tica, Oficina de Textos."},{"key":"ref_92","unstructured":"(2025, July 31). An\u00e1polis Municipality An\u00e1polis Municipal Master Plan. Available online: https:\/\/leismunicipais.com.br\/plano-diretor-anapolis-go."},{"key":"ref_93","unstructured":"SEMAD (2025, November 04). Environmental Regulation. State Secretariat for Environment and Sustainable Development (Secretaria de Estado de Meio Ambiente e Desenvolvimento Sustent\u00e1vel\u2014SEMAD), Available online: https:\/\/goias.gov.br\/meioambiente\/regularizacao-ambiental\/."}],"container-title":["Sustainability"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2071-1050\/18\/4\/1878\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T05:14:59Z","timestamp":1771046099000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2071-1050\/18\/4\/1878"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,12]]},"references-count":93,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2026,2]]}},"alternative-id":["su18041878"],"URL":"https:\/\/doi.org\/10.3390\/su18041878","relation":{},"ISSN":["2071-1050"],"issn-type":[{"value":"2071-1050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,12]]}}}