{"title":"预测气候变化对蜱虫未来空间分布范围的影响。","authors":"R. Raghavan, R. Ganta","doi":"10.1079/9781789249637.0006","DOIUrl":null,"url":null,"abstract":"Abstract\n This chapter focuses on spatial distribution models (SDMs) that are essential to producing reliable models of tick distributions, both in the present time and in the future, under climate change scenarios. It highlights the opinion that careful consideration of the methods is necessary in building SDMs, model assumptions, the limitations in predictions and making a careful interpretation of predictions, if possible, supported by field observations.","PeriodicalId":202451,"journal":{"name":"Climate, ticks and disease","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Considerations for predicting climate change implications on future spatial distribution ranges of ticks.\",\"authors\":\"R. Raghavan, R. Ganta\",\"doi\":\"10.1079/9781789249637.0006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract\\n This chapter focuses on spatial distribution models (SDMs) that are essential to producing reliable models of tick distributions, both in the present time and in the future, under climate change scenarios. It highlights the opinion that careful consideration of the methods is necessary in building SDMs, model assumptions, the limitations in predictions and making a careful interpretation of predictions, if possible, supported by field observations.\",\"PeriodicalId\":202451,\"journal\":{\"name\":\"Climate, ticks and disease\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Climate, ticks and disease\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1079/9781789249637.0006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate, ticks and disease","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1079/9781789249637.0006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Considerations for predicting climate change implications on future spatial distribution ranges of ticks.
Abstract
This chapter focuses on spatial distribution models (SDMs) that are essential to producing reliable models of tick distributions, both in the present time and in the future, under climate change scenarios. It highlights the opinion that careful consideration of the methods is necessary in building SDMs, model assumptions, the limitations in predictions and making a careful interpretation of predictions, if possible, supported by field observations.