Renato Farias do Valle Junior, Tiago Henrique Schwaickartt Feitosa, Fernando António Leal Pacheco, Luís Filipe Sanches Fernandes, Carlos Alberto Valera
{"title":"An integrated framework to detect soil degradation under Brazilian rangelands","authors":"Renato Farias do Valle Junior, Tiago Henrique Schwaickartt Feitosa, Fernando António Leal Pacheco, Luís Filipe Sanches Fernandes, Carlos Alberto Valera","doi":"10.1016/j.rala.2026.07.003","DOIUrl":null,"url":null,"abstract":"<div><div><ul><li><span>•</span><span><div>Detection of degraded rangelands is crucial for managing livestock areas but is complex as degradation is inherently related to soil quality, which in turn depends on the parent geologic material.</div></span></li><li><span>•</span><span><div>Complexity applies both to field and remote-sensing parameters used as indicators of degradation.</div></span></li><li><span>•</span><span><div>The vast majority of methods used to detect rangeland degradation ignore the role of geology and, hence, produce misleading results.</div></span></li><li><span>•</span><span><div>We propose an integrated approach based on various field and remotely sensed parameters, with a segmented application to different geologic types, which produced high-accuracy detection of degraded pastures in a region of Minas Gerais state, Brazil.</div></span></li><li><span>•</span><span><div>Besides this novel and significant advance in the accurate detection of degraded rangelands, our study is justified because of its application to a country where degraded pastures reach nearly 100 Mha and is also a world livestock producer.</div></span></li></ul></div></div><div><ul><li><span>•</span><span><div>Detection of degraded rangelands is crucial for managing livestock areas but is complex as degradation is inherently related to soil quality, which in turn depends on the parent geologic material.</div></span></li><li><span>•</span><span><div>Complexity applies both to field and remote-sensing parameters used as indicators of degradation.</div></span></li><li><span>•</span><span><div>The vast majority of methods used to detect rangeland degradation ignore the role of geology and, hence, produce misleading results.</div></span></li><li><span>•</span><span><div>We propose an integrated approach based on various field and remotely sensed parameters, with a segmented application to different geologic types, which produced high-accuracy detection of degraded pastures in a region of Minas Gerais state, Brazil.</div></span></li><li><span>•</span><span><div>Besides this novel and significant advance in the accurate detection of degraded rangelands, our study is justified because of its application to a country where degraded pastures reach nearly 100 Mha and is also a world livestock producer.</div></span></li></ul></div>","PeriodicalId":101057,"journal":{"name":"Rangelands","volume":"48 5","pages":"Pages 166-183"},"PeriodicalIF":0.0000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rangelands","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0190052826000660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/24 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
•
Detection of degraded rangelands is crucial for managing livestock areas but is complex as degradation is inherently related to soil quality, which in turn depends on the parent geologic material.
•
Complexity applies both to field and remote-sensing parameters used as indicators of degradation.
•
The vast majority of methods used to detect rangeland degradation ignore the role of geology and, hence, produce misleading results.
•
We propose an integrated approach based on various field and remotely sensed parameters, with a segmented application to different geologic types, which produced high-accuracy detection of degraded pastures in a region of Minas Gerais state, Brazil.
•
Besides this novel and significant advance in the accurate detection of degraded rangelands, our study is justified because of its application to a country where degraded pastures reach nearly 100 Mha and is also a world livestock producer.
•
Detection of degraded rangelands is crucial for managing livestock areas but is complex as degradation is inherently related to soil quality, which in turn depends on the parent geologic material.
•
Complexity applies both to field and remote-sensing parameters used as indicators of degradation.
•
The vast majority of methods used to detect rangeland degradation ignore the role of geology and, hence, produce misleading results.
•
We propose an integrated approach based on various field and remotely sensed parameters, with a segmented application to different geologic types, which produced high-accuracy detection of degraded pastures in a region of Minas Gerais state, Brazil.
•
Besides this novel and significant advance in the accurate detection of degraded rangelands, our study is justified because of its application to a country where degraded pastures reach nearly 100 Mha and is also a world livestock producer.