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Resource partitioning in freshwater turtle communities: A null model meta-analysis of available data

机译:淡水龟群落中的资源分配:可用数据的零模型荟萃分析

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Resource partitioning is one of the most intensely studied issues in ecology since the mid-1900s, nonetheless this issue has never been examined in detail for several important animal groups, including the freshwater turtles. In this paper I re-analyze by null models several studies on resource partitioning by freshwater turtles published in the peer-reviewed literature. These studies originated from all continents and from a variety of climatic and habitat conditions. I used data given in the original papers to recalculate dietary overlap between species. Then, the true datasets were compared to randomly generated datasets produced by 3 x 10(4) Monte Carlo permutations, by using two different randomization algorithms (RA2 and RA3 of Lawlor, 1980). Datasets were inspected to find non-random structure of the various communities along four resource dimensions: macro-habitat, micro-habitat, food, and time. Based on my meta-analysis, I concluded that the micro-habitat resource is the most important dimension (it was the resource partitioned in nearly 80% of the study cases), followed by the food resource dimension (nearly 70%), whereas macro-habitat and time were clearly less important. In relation to micro-habitat dimension, the selection of basking site typology is perhaps the main aspect of the microhabitat niche to be partitioned. Logistic regression models indicated that the presence of a resource partitioning structure in the dataset was influenced only by matrix size, and not by number of species, continent, presence of substantial body size differences among coexisting species, or tropical versus non-tropical origin. A combination of causes may explain the observed patterns: interspecific competition is likely important in shaping several turtle communities, but intrinsic and extrinsic constraints and predation are also relevant. (c) 2008 Elsevier Masson SAS. All rights reserved.
机译:自从1900年代中期以来,资源分配一直是生态学中研究最广泛的问题之一,尽管如此,从未对包括淡水龟在内的几个重要动物群体进行过详细研究。在本文中,我通过零模型重新分析了同行评审文献中发表的有关淡水龟资源分配的若干研究。这些研究起源于各大洲以及各种气候和栖息地条件。我使用原始论文中提供的数据来重新计算物种之间的饮食重叠。然后,通过使用两种不同的随机算法(Rawlor的RA2和RA3,1980年),将真实数据集与由3 x 10(4)蒙特卡洛排列产生的随机生成的数据集进行比较。检查了数据集,以沿着四个资源维度找到各个社区的非随机结构:宏观栖息地,微观栖息地,食物和时间。根据我的荟萃分析,我得出结论,微观栖息地资源是最重要的维度(在将近80%的研究案例中是资源划分),其次是食物资源维度(将近70%),而宏观-居住和时间显然不那么重要。关于微生境维度,取暖地点类型的选择可能是要划分的微生境生态位的主要方面。 Logistic回归模型表明,数据集中资源分配结构的存在仅受矩阵大小的影响,而不受物种数量,大陆,并存物种之间存在较大体型差异的存在或热带与非热带起源的影响。种种原因可以解释观察到的模式:种间竞争对塑造几个海龟群落可能很重要,但是内在和外在的制约因素和掠食也很重要。 (c)2008年Elsevier Masson SAS。版权所有。

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