Dallin B. Kohler, Xiaoli Zhang, Kevin R. Messenger, Kenneth Chin Yu An, Deyatima Ghosh, Siti N. Othman, Zhenqi Wang, Hina Amin, Vishal Kumar Prasad, Zhichao Wu, Amaël Borzée
{"title":"At home in Jiangsu: Environmental niche modeling and new records for five species of amphibian and reptile in Jiangsu, China","authors":"Dallin B. Kohler, Xiaoli Zhang, Kevin R. Messenger, Kenneth Chin Yu An, Deyatima Ghosh, Siti N. Othman, Zhenqi Wang, Hina Amin, Vishal Kumar Prasad, Zhichao Wu, Amaël Borzée","doi":"10.3897/herpetozoa.37.e117370","DOIUrl":null,"url":null,"abstract":"Environmental niche models are useful tools for generating hypotheses for the distribution of species and informing conservation planning, especially at the edge of species’ ranges and for those with limited data. Here we report on the recent documentation of four species of amphibian (Hylarana latouchii, Odorrana tianmuii, Polypedates braueri, and Zhangixalus dennysi) and one reptile (Protobothrops mucrosquamatus) with few or no previous geolocated records from Jiangsu, China. We combined our opportunistic field sampling data from Jiangsu, which is at the edge of each of these species’ ranges, with publicly available occurrence records and climatic data to generate environmental niche models for these five species using Maxent. All models showed good model performance with AUC values ranging from 0.899 to 0.983. Additional potentially suitable areas within southern Jiangsu were predicted for the four amphibian species, although the significant anthropogenic habitat modifications in the province may limit their contemporary distributions. For all five species, the climatic variable that contributed most to the model was the precipitation of the driest month (Bio 14), indicating they are limited by moisture availability. Our study adds new information about the climatic preferences of these five species and highlights the value of complementing environmental niche modeling with field surveys for robust inferences and conservation planning, particularly at the edge of species’ ranges.","PeriodicalId":49314,"journal":{"name":"Herpetozoa","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Herpetozoa","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.3897/herpetozoa.37.e117370","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ZOOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Environmental niche models are useful tools for generating hypotheses for the distribution of species and informing conservation planning, especially at the edge of species’ ranges and for those with limited data. Here we report on the recent documentation of four species of amphibian (Hylarana latouchii, Odorrana tianmuii, Polypedates braueri, and Zhangixalus dennysi) and one reptile (Protobothrops mucrosquamatus) with few or no previous geolocated records from Jiangsu, China. We combined our opportunistic field sampling data from Jiangsu, which is at the edge of each of these species’ ranges, with publicly available occurrence records and climatic data to generate environmental niche models for these five species using Maxent. All models showed good model performance with AUC values ranging from 0.899 to 0.983. Additional potentially suitable areas within southern Jiangsu were predicted for the four amphibian species, although the significant anthropogenic habitat modifications in the province may limit their contemporary distributions. For all five species, the climatic variable that contributed most to the model was the precipitation of the driest month (Bio 14), indicating they are limited by moisture availability. Our study adds new information about the climatic preferences of these five species and highlights the value of complementing environmental niche modeling with field surveys for robust inferences and conservation planning, particularly at the edge of species’ ranges.