{"title":"了解印度泰米尔纳德邦人象冲突的模式和预测因素","authors":"Thekke Thumbath Shameer, Priyambada Routray, A. Udhayan, Nihar Ranjan, Manikka Govindan Ganesan, Arulmani Manimozhi, Dhayanithi Vasanthakumari","doi":"10.1007/s10344-024-01848-6","DOIUrl":null,"url":null,"abstract":"<p>Habitat loss and encroachment lead to conservation challenges such as human-elephant conflicts (HEC). Understanding the patterns and predictors of HEC is crucial to identify priority areas for mitigation efforts. Accordingly, a study was conducted across the forest divisions of Tamil Nadu, India. We collected HEC data for 2016–2021 from the forest department compensation database maintained in forest divisions. Our analysis encompassed division-wise, crop-wise, conflict-wise assessments, temporal analysis and conflict risk modelling (CRM). We divided the forest divisions into 4 different zones based on the variables that likely influence HEC. The results revealed that conflict frequency was higher in the forest range Denkankottai, located in the Hosur division, which falls under Zone 1. HEC was higher from November to January in correspondence with the cropping season. Elephants primarily damaged millet (ragi) (<i>Eleusine coracana</i>), with <i>n</i> = 2,182, particularly during November and December, followed by banana (<i>Musa</i> genus) with <i>n</i> = 1,690. The CRM predicts that the southwest and northwest regions of Tamil Nādu had higher conflict risks and area coverage of medium and high conflict risk zones as 17,025 km<sup>2</sup> and 3521 km<sup>2</sup>, respectively. The CRM revealed that the most significant variables in predicting conflict risk are the annual mean temperature, human modification index, and digital elevation model. Areas with higher conflict risk were closer to forest cover, croplands, roads, and water bodies. These regions typically had lower terrain ruggedness, higher human modification, lower temperatures, and dense vegetation. The present study’s findings underscore the need for a comprehensive and multidimensional approach to managing HEC, which is crucial for fostering coexistence between humans and elephants in the region.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding the patterns and predictors of human-elephant conflict in Tamil Nadu, India\",\"authors\":\"Thekke Thumbath Shameer, Priyambada Routray, A. Udhayan, Nihar Ranjan, Manikka Govindan Ganesan, Arulmani Manimozhi, Dhayanithi Vasanthakumari\",\"doi\":\"10.1007/s10344-024-01848-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Habitat loss and encroachment lead to conservation challenges such as human-elephant conflicts (HEC). Understanding the patterns and predictors of HEC is crucial to identify priority areas for mitigation efforts. Accordingly, a study was conducted across the forest divisions of Tamil Nadu, India. We collected HEC data for 2016–2021 from the forest department compensation database maintained in forest divisions. Our analysis encompassed division-wise, crop-wise, conflict-wise assessments, temporal analysis and conflict risk modelling (CRM). We divided the forest divisions into 4 different zones based on the variables that likely influence HEC. The results revealed that conflict frequency was higher in the forest range Denkankottai, located in the Hosur division, which falls under Zone 1. HEC was higher from November to January in correspondence with the cropping season. Elephants primarily damaged millet (ragi) (<i>Eleusine coracana</i>), with <i>n</i> = 2,182, particularly during November and December, followed by banana (<i>Musa</i> genus) with <i>n</i> = 1,690. The CRM predicts that the southwest and northwest regions of Tamil Nādu had higher conflict risks and area coverage of medium and high conflict risk zones as 17,025 km<sup>2</sup> and 3521 km<sup>2</sup>, respectively. The CRM revealed that the most significant variables in predicting conflict risk are the annual mean temperature, human modification index, and digital elevation model. Areas with higher conflict risk were closer to forest cover, croplands, roads, and water bodies. These regions typically had lower terrain ruggedness, higher human modification, lower temperatures, and dense vegetation. The present study’s findings underscore the need for a comprehensive and multidimensional approach to managing HEC, which is crucial for fostering coexistence between humans and elephants in the region.</p>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s10344-024-01848-6\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10344-024-01848-6","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Understanding the patterns and predictors of human-elephant conflict in Tamil Nadu, India
Habitat loss and encroachment lead to conservation challenges such as human-elephant conflicts (HEC). Understanding the patterns and predictors of HEC is crucial to identify priority areas for mitigation efforts. Accordingly, a study was conducted across the forest divisions of Tamil Nadu, India. We collected HEC data for 2016–2021 from the forest department compensation database maintained in forest divisions. Our analysis encompassed division-wise, crop-wise, conflict-wise assessments, temporal analysis and conflict risk modelling (CRM). We divided the forest divisions into 4 different zones based on the variables that likely influence HEC. The results revealed that conflict frequency was higher in the forest range Denkankottai, located in the Hosur division, which falls under Zone 1. HEC was higher from November to January in correspondence with the cropping season. Elephants primarily damaged millet (ragi) (Eleusine coracana), with n = 2,182, particularly during November and December, followed by banana (Musa genus) with n = 1,690. The CRM predicts that the southwest and northwest regions of Tamil Nādu had higher conflict risks and area coverage of medium and high conflict risk zones as 17,025 km2 and 3521 km2, respectively. The CRM revealed that the most significant variables in predicting conflict risk are the annual mean temperature, human modification index, and digital elevation model. Areas with higher conflict risk were closer to forest cover, croplands, roads, and water bodies. These regions typically had lower terrain ruggedness, higher human modification, lower temperatures, and dense vegetation. The present study’s findings underscore the need for a comprehensive and multidimensional approach to managing HEC, which is crucial for fostering coexistence between humans and elephants in the region.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.