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大生物学与微气象学相遇:在景观尺度上为保护规划定义变温动物的热生态位。

Big biology meets microclimatology: defining thermal niches of ectotherms at landscape scales for conservation planning.

机构信息

Rocky Mountain Research Station, US Forest Service, 322 East Front Street Suite 401, Boise, Idaho, 83702, USA.

Odum School of Ecology, University of Georgia, 203 D. W. Brooks Drive, Athens, Georgia, 30602, USA.

出版信息

Ecol Appl. 2017 Apr;27(3):977-990. doi: 10.1002/eap.1501. Epub 2017 Mar 16.

Abstract

Temperature profoundly affects ecology, a fact ever more evident as the ability to measure thermal environments increases and global changes alter these environments. The spatial structure of thermalscapes is especially relevant to the distribution and abundance of ectothermic organisms, but the ability to describe biothermal relationships at extents and grains relevant to conservation planning has been limited by small or sparse data sets. Here, we combine a large occurrence database of >23 000 aquatic species surveys with stream microclimate scenarios supported by an equally large temperature database for a 149 000-km mountain stream network to describe thermal relationships for 14 fish and amphibian species. Species occurrence probabilities peaked across a wide range of temperatures (7.0-18.8°C) but distinct warm- or cold-edge distribution boundaries were apparent for all species and represented environments where populations may be most sensitive to thermal changes. Warm-edge boundary temperatures for a native species of conservation concern were used with geospatial data sets and a habitat occupancy model to highlight subsets of the network where conservation measures could benefit local populations by maintaining cool temperatures. Linking that strategic approach to local estimates of habitat impairment remains a key challenge but is also an opportunity to build relationships and develop synergies between the research, management, and regulatory communities. As with any data mining or species distribution modeling exercise, care is required in analysis and interpretation of results, but the use of large biological data sets with accurate microclimate scenarios can provide valuable information about the thermal ecology of many ectotherms and a spatially explicit way of guiding conservation investments.

摘要

温度深刻地影响着生态系统,随着测量热环境能力的提高和全球变化改变这些环境,这一事实变得越来越明显。热景观的空间结构对变温生物的分布和丰度尤为重要,但在与保护规划相关的尺度和粒度上描述生物热关系的能力一直受到小数据集或稀疏数据集的限制。在这里,我们将超过 23000 种水生物种调查的大型出现数据库与溪流小气候情景相结合,这些情景得到了同样庞大的温度数据库的支持,该数据库涵盖了 149000 公里的山区溪流网络,用于描述 14 种鱼类和两栖类物种的热关系。物种出现概率在很宽的温度范围内(7.0-18.8°C)达到峰值,但所有物种都出现了明显的暖边或冷边分布边界,这些边界代表了种群对热变化最敏感的环境。对于一种具有保护关注的本地物种,我们使用其暖边边界温度、地理空间数据集和栖息地占有模型,突出了网络中可以通过维持低温使当地种群受益的保护措施子集。将这种战略方法与对栖息地受损的局部估计联系起来仍然是一个关键挑战,但也是在研究、管理和监管社区之间建立关系和发展协同作用的机会。与任何数据挖掘或物种分布模型构建练习一样,在分析和解释结果时需要谨慎,但使用具有准确小气候情景的大型生物数据集可以提供有关许多变温生物热生态的有价值信息,并以空间明确的方式指导保护投资。

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