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美国本土溪流和河流大型无脊椎动物属及鱼类物种丰富度的模式与预测因素

Patterns in and predictors of stream and river macroinvertebrate genera and fish species richness across the conterminous USA.

作者信息

Hughes Robert M, Herlihy Alan T, Comeleo Randy, Peck David V, Mitchell Richard M, Paulsen Steven G

机构信息

Amnis Opes Institute, Corvallis, OR, USA.

Department of Fisheries, Wildlife, & Conservation Sciences, Oregon State University, Corvallis, OR, USA.

出版信息

Knowl Manag Aquat Ecosyst. 2023 Jul 20;424(19):1-16. doi: 10.1051/kmae/2023014.

Abstract

Both native and non-native taxa richness patterns are useful for evaluating areas of greatest conservation concern. To determine those patterns, we analyzed fish and macroinvertebrate taxa richness data obtained at 3475 sites collected by the USEPA's National Rivers and Streams Assessment. We also determined which natural and anthropogenic variables best explained patterns in regional richness. Macroinvertebrate and fish richness increased with the number of sites sampled per region. Therefore, we determined residual taxa richness from the deviation of observed richness from predicted richness given the number of sites per region. Regional richness markedly exceeded average site richness for both macroinvertebrates and fish. Predictors of macroinvertebrate-genus and fish-species residual-regional richness differed. Air temperature was an important predictor in both cases but was positive for fish and negative for macroinvertebrates. Both natural and land use variables were significant predictors of regional richness. This study is the first to determine mean site and regional richness of both fish and aquatic macroinvertebrates across the conterminous USA, and the key anthropogenic drivers of regional richness. Thus, it offers important insights into regional USA biodiversity hotspots.

摘要

本地和非本地分类单元丰富度模式对于评估最受保护关注的区域都很有用。为了确定这些模式,我们分析了美国环境保护局国家河流和溪流评估在3475个站点收集的鱼类和大型无脊椎动物分类单元丰富度数据。我们还确定了哪些自然和人为变量最能解释区域丰富度模式。大型无脊椎动物和鱼类的丰富度随着每个区域采样站点的数量增加而增加。因此,我们根据每个区域站点数量,从观察到的丰富度与预测丰富度的偏差中确定残余分类单元丰富度。大型无脊椎动物和鱼类的区域丰富度均明显超过平均站点丰富度。大型无脊椎动物属和鱼类物种残余区域丰富度的预测因子不同。在这两种情况下,气温都是一个重要的预测因子,但对鱼类是正向的,对大型无脊椎动物是负向的。自然和土地利用变量都是区域丰富度的重要预测因子。这项研究首次确定了美国本土鱼类和水生大型无脊椎动物的平均站点和区域丰富度,以及区域丰富度的关键人为驱动因素。因此,它为美国区域生物多样性热点提供了重要见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56dd/10428169/dfd53829c6ae/nihms-1919739-f0001.jpg

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