{"title":"气候变暖条件下苔原灌木扩张及数据类型对生境适宜性模型的影响","authors":"Jordan H. Seider, T. Lantz, C. Bone","doi":"10.1080/15230430.2022.2121243","DOIUrl":null,"url":null,"abstract":"ABSTRACT Warming across the low Arctic is increasing tundra vegetation productivity and facilitating the expansion of upright shrubs. We modeled the effects of warming on habitat suitability in green alder, dwarf birch, Labrador tea, bog bilberry, and lingonberry and assessed the influence of data type (true absence or pseudo-absence) on species distribution models (SDMs). We generated SDMs using the two absence data types under current (1970–2000) and future (2061–2080) climate projections. Our results show that warming leads to range expansion of all shrubs, though responses vary in magnitude and extent, with mean increases in suitability ranging from 0.080 (Labrador tea) to 0.369 (lingonberry) with true absences. Differences in driving variables and suitability projections suggest that physiological and ecological variability between species mediate responses to warming. Between data types, we observed inconsistencies in model performance, suitability projections, and variable importance. Bog bilberry and lingonberry exhibited larger differences in suitability (0.201 and 0.288, respectively), whereas alder showed similar responses (difference of 0.01). These results are important to consider when assessing changes in habitat suitability or identifying environmental or climatic determinants of species’ distributions. We suggest further development of open data repositories, facilitating access to true absence data to support conservation and land use planning.","PeriodicalId":8391,"journal":{"name":"Arctic, Antarctic, and Alpine Research","volume":"54 1","pages":"488 - 506"},"PeriodicalIF":1.6000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tundra shrub expansion in a warming climate and the influence of data type on models of habitat suitability\",\"authors\":\"Jordan H. Seider, T. Lantz, C. Bone\",\"doi\":\"10.1080/15230430.2022.2121243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Warming across the low Arctic is increasing tundra vegetation productivity and facilitating the expansion of upright shrubs. We modeled the effects of warming on habitat suitability in green alder, dwarf birch, Labrador tea, bog bilberry, and lingonberry and assessed the influence of data type (true absence or pseudo-absence) on species distribution models (SDMs). We generated SDMs using the two absence data types under current (1970–2000) and future (2061–2080) climate projections. Our results show that warming leads to range expansion of all shrubs, though responses vary in magnitude and extent, with mean increases in suitability ranging from 0.080 (Labrador tea) to 0.369 (lingonberry) with true absences. Differences in driving variables and suitability projections suggest that physiological and ecological variability between species mediate responses to warming. Between data types, we observed inconsistencies in model performance, suitability projections, and variable importance. Bog bilberry and lingonberry exhibited larger differences in suitability (0.201 and 0.288, respectively), whereas alder showed similar responses (difference of 0.01). These results are important to consider when assessing changes in habitat suitability or identifying environmental or climatic determinants of species’ distributions. We suggest further development of open data repositories, facilitating access to true absence data to support conservation and land use planning.\",\"PeriodicalId\":8391,\"journal\":{\"name\":\"Arctic, Antarctic, and Alpine Research\",\"volume\":\"54 1\",\"pages\":\"488 - 506\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2022-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Arctic, Antarctic, and Alpine Research\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1080/15230430.2022.2121243\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arctic, Antarctic, and Alpine Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/15230430.2022.2121243","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Tundra shrub expansion in a warming climate and the influence of data type on models of habitat suitability
ABSTRACT Warming across the low Arctic is increasing tundra vegetation productivity and facilitating the expansion of upright shrubs. We modeled the effects of warming on habitat suitability in green alder, dwarf birch, Labrador tea, bog bilberry, and lingonberry and assessed the influence of data type (true absence or pseudo-absence) on species distribution models (SDMs). We generated SDMs using the two absence data types under current (1970–2000) and future (2061–2080) climate projections. Our results show that warming leads to range expansion of all shrubs, though responses vary in magnitude and extent, with mean increases in suitability ranging from 0.080 (Labrador tea) to 0.369 (lingonberry) with true absences. Differences in driving variables and suitability projections suggest that physiological and ecological variability between species mediate responses to warming. Between data types, we observed inconsistencies in model performance, suitability projections, and variable importance. Bog bilberry and lingonberry exhibited larger differences in suitability (0.201 and 0.288, respectively), whereas alder showed similar responses (difference of 0.01). These results are important to consider when assessing changes in habitat suitability or identifying environmental or climatic determinants of species’ distributions. We suggest further development of open data repositories, facilitating access to true absence data to support conservation and land use planning.
期刊介绍:
The mission of Arctic, Antarctic, and Alpine Research (AAAR) is to advance understanding of cold region environments by publishing original scientific research from past, present and future high-latitude and mountain regions. Rapid environmental change occurring in cold regions today highlights the global importance of this research. AAAR publishes peer-reviewed interdisciplinary papers including original research papers, short communications and review articles. Many of these papers synthesize a variety of disciplines including ecology, climatology, geomorphology, glaciology, hydrology, paleoceanography, biogeochemistry, and social science. Papers may be uni- or multidisciplinary but should have interdisciplinary appeal. Special thematic issues and proceedings are encouraged. The journal receives contributions from a diverse group of international authors from academia, government agencies, and land managers. In addition the journal publishes opinion pieces, book reviews and in memoria. AAAR is associated with the Institute of Arctic and Alpine Research (INSTAAR) the oldest active research institute at the University of Colorado Boulder.