Tundra shrub expansion in a warming climate and the influence of data type on models of habitat suitability

IF 1.6 4区 地球科学 Q4 ENVIRONMENTAL SCIENCES Arctic, Antarctic, and Alpine Research Pub Date : 2022-10-12 DOI:10.1080/15230430.2022.2121243
Jordan H. Seider, T. Lantz, C. Bone
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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.
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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
摘要北极低纬度地区的变暖正在提高苔原植被的生产力,并促进直立灌木的扩张。我们模拟了气候变暖对绿赤杨、矮桦、拉布拉多茶、沼泽越橘和灵犀栖息地适宜性的影响,并评估了数据类型(真实缺失或伪缺失)对物种分布模型(SDM)的影响。我们使用当前(1970–2000)和未来(2061–2080)气候预测下的两种缺失数据类型生成了SDM。我们的研究结果表明,气候变暖导致所有灌木的范围扩大,尽管反应的大小和程度各不相同,适宜性的平均增加范围从0.080(拉布拉多茶)到0.369(林果莓),但确实没有。驱动变量和适宜性预测的差异表明,物种之间的生理和生态变异性介导了对变暖的反应。在数据类型之间,我们观察到模型性能、适用性预测和变量重要性不一致。Bog bilberry和lingonberry在适宜性方面表现出较大的差异(分别为0.201和0.288),而alder表现出相似的反应(差异为0.01)。在评估栖息地适宜性的变化或确定物种分布的环境或气候决定因素时,这些结果非常重要。我们建议进一步开发开放式数据存储库,方便访问真实缺失数据,以支持保护和土地利用规划。
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来源期刊
CiteScore
3.00
自引率
5.00%
发文量
37
审稿时长
7 months
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.
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