Mapping functional traits: comparing abundance and presence-absence estimates at large spatial scales.
Mapping functional traits: comparing abundance and presence-absence estimates at large spatial scales.
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DOI：
10.1371/journal.pone.0044019
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Scharlemann JP
中科院分区：
文献类型：
--
作者：
Newbold T;Butchart SH;Sekercioğlu CH;Purves DW;Scharlemann JP
量化生物群落组成的努力越来越多地集中在功能性状上。从性状的角度来看，群落的组成可以用几种方式来概括。生态学家开始从各种数据来源绘制基于特征的指标的地理分布图，但这些地图还没有经过独立数据的测试。使用数据的西半球的鸟类，我们测试的第一次最常用的方法来映射社区的特征组成-覆盖范围图，它假设一个给定的物种的本地丰度是无关的性状的问题-和三个新的方法，以及范围图包括不同程度的信息种间和地理变异的丰度。对于每种方法，并为四个特征（体重，世代长度，迁移行为，饮食），我们计算了社区加权平均性状值，功能丰富度和功能分歧。基于物种范围和有限的丰富度数据的地图进行了比较，从美国圣诞鸟计数（CBC）计划，再加上性状的数据与社区物种组成的独立数据。与CBC站点观察到的群落组成的对应关系大多是正的（62/73相关），但根据群落组成的度量和使用的方法而变化很大（R2：5.6×10−7至0.82，中位数为0.12）。重要的是，常用的范围重叠方法得到了最佳拟合（21/22相关性为正; R2：0.004至0.8，中位数为0.33）。由于缺乏关于当地物种丰富程度的数据，覆盖范围图似乎是估计群落组成模式的最佳方法，但某些指标不太适合，这表明迫切需要当地丰富程度数据，以便更准确地估计群落的组成。
Efforts to quantify the composition of biological communities increasingly focus on functional traits. The composition of communities in terms of traits can be summarized in several ways. Ecologists are beginning to map the geographic distribution of trait-based metrics from various sources of data, but the maps have not been tested against independent data. Using data for birds of the Western Hemisphere, we test for the first time the most commonly used method for mapping community trait composition – overlaying range maps, which assumes that the local abundance of a given species is unrelated to the traits in question – and three new methods that as well as the range maps include varying degrees of information about interspecific and geographic variation in abundance. For each method, and for four traits (body mass, generation length, migratory behaviour, diet) we calculated community-weighted mean of trait values, functional richness and functional divergence. The maps based on species ranges and limited abundance data were compared with independent data on community species composition from the American Christmas Bird Count (CBC) scheme coupled with data on traits. The correspondence with observed community composition at the CBC sites was mostly positive (62/73 correlations) but varied widely depending on the metric of community composition and method used (R2: 5.6×10−7 to 0.82, with a median of 0.12). Importantly, the commonly-used range-overlap method resulted in the best fit (21/22 correlations positive; R2: 0.004 to 0.8, with a median of 0.33). Given the paucity of data on the local abundance of species, overlaying range maps appears to be the best available method for estimating patterns of community composition, but the poor fit for some metrics suggests that local abundance data are urgently needed to allow more accurate estimates of the composition of communities.
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影响因子：
9.8
作者：
Jetz W;Wilcove DS;Dobson AP
通讯作者：
Dobson AP
影响因子：
2.8
作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
Jost, Lou
DOI：
10.1073/pnas.0704716104
发表时间：
2007-12-26
影响因子：
11.1
作者：
Diaz, Sandra;Lavorel, Sandra;Robson, Matthew
通讯作者：
Robson, Matthew
DOI：
10.1098/rstb.2008.0317
发表时间：
2009-06-27
影响因子：
6.3
作者：
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通讯作者：
Child, Matthew F.