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保护溪流鱼类应对气候变化:评估鱼类对大区域栖息地变化的响应。

Conserving stream fishes with changing climate: Assessing fish responses to changes in habitat over a large region.

机构信息

Department of Natural Resources and Environmental Management, 1910 East-West Road, Sherman 101, University of Hawai'i Manoa, Honolulu, HI, 96822, United States of America.

Department of Fisheries and Wildlife, Michigan State University, 1405 South Harrison Road, Suite 318, East Lansing, MI 48823, United States of America.

出版信息

Sci Total Environ. 2021 Feb 10;755(Pt 2):142503. doi: 10.1016/j.scitotenv.2020.142503. Epub 2020 Sep 25.

Abstract

Changes in climate are known to alter air temperature and precipitation and their associated thermal and hydrological regimes of freshwater systems, and such alterations in habitat are anticipated to modify fish composition in fluvial systems. Despite these expected changes, assessing climate change effects on habitat and fish over large regions has proven challenging. The goal of this study is to describe an approach to assess and identify stream reaches within a large region that are susceptible to climate changes based on responses of multiple fish species to changes in thermal and hydrological habitats occurring with changes in climate. We present a six-step approach to connect climate, habitat, and fish responses, demonstrated through an example to assess effects of climate change on fishes for all stream reaches in a large U.S. ecoregion (955,029 km). Step 1 identified measures of air temperature and precipitation expected to change substantially in the future. Step 2 identified the climatic measures strongly associated with stream thermal and hydrologic metrics calculated from measured data from a subset of streams. Step 3 linked thermal and hydrologic metrics identified in Step 2 with abundances of fish species from the same stream reaches, and these fishes were combined into groups based on similar associations with specific thermal or hydrologic metrics. Step 4 used the linkages between fish groups and climatic measures and their associated thermal and hydrologic metrics to classify stream reaches. Step 5 assigned all stream reaches into classes based on the established classification under current climate measures and then re-assigned all stream reaches using projected climatic measures for three future time windows. Step 6 assessed changes in classes of stream reaches between current and future climate conditions. Stream reaches projected to change in stream classes were considered "vulnerable" to future climate change, as they would no longer support the same fish composition. The projected vulnerable streams for the years 2040, 2060, and 2090 were mapped and summarized to identify temporal patterns and identify their spatial distribution, along with underlying mechanisms leading to changes. Our results showed that 45.7% of the 320,000 reaches and 49.3% of the overall 650,000 km stream length in the study region were expected to change stream class by the year 2090, with spatially-explicit changes including streams' responding to changing air temperature or precipitation. This study provides critical guidance for integrating climate projections, landscape factors, stream habitat data, and fish data into a meaningful approach for understanding linkage. Outcomes greatly improve our ability to describe habitat changes at a stream reach scale throughout large regions, and they can aid in prioritizing management strategies to adapt to climate change at local and regional scales.

摘要

气候变化会改变气温和降水,以及淡水系统的相关热学和水文学特征,这些生境的变化预计会改变河流系统中的鱼类组成。尽管有这些预期的变化,但评估气候变化对大型区域内的栖息地和鱼类的影响一直具有挑战性。本研究的目的是描述一种方法,根据多种鱼类对气候变化引起的热学和水学生态位变化的响应,评估和识别大型区域内易受气候变化影响的河流。我们提出了一种六步方法来连接气候、栖息地和鱼类的响应,通过一个例子来评估气候变化对一个大型美国生态区(955,029 平方公里)所有河流的鱼类的影响,说明了这种方法。第 1 步确定了未来预期会有较大变化的气温和降水指标。第 2 步确定了与从部分河流的实测数据中计算出的河流热学和水文学指标有强烈关联的气候指标。第 3 步将第 2 步中确定的热学和水文学指标与同一河流的鱼类数量联系起来,根据与特定热学或水文学指标的相似关联,将这些鱼类分为不同的组。第 4 步使用鱼类组与气候指标及其相关的热学和水文学指标之间的联系来对河流进行分类。第 5 步根据当前气候指标下的既定分类将所有河流分类,然后根据未来三个时间窗口的预测气候指标重新对所有河流进行分类。第 6 步评估当前和未来气候条件下河流分类的变化。如果河流的分类发生变化,预计它们将不再支持相同的鱼类组成,因此这些河流将被视为“脆弱”。根据 2040 年、2060 年和 2090 年的预测气候指标,对脆弱的预测河流进行了制图和总结,以确定时间模式并确定其空间分布,以及导致变化的潜在机制。我们的研究结果表明,在研究区域的 32 万条河流中,预计有 45.7%的河流和 65 万条河流总长度的 49.3%到 2090 年将改变河流的分类,空间上明确的变化包括河流对气温或降水变化的响应。本研究为将气候预测、景观因素、河流栖息地数据和鱼类数据整合到一个有意义的方法中提供了关键指导,以了解联系。研究结果大大提高了我们在整个大型区域内描述河流生境变化的能力,并有助于在地方和区域尺度上优先制定适应气候变化的管理策略。

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