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Predicting global dynamics from local interactions: individual-based models predict complex features of marine epibenthic communities

机译:通过局部相互作用预测全球动态:基于个体的模型预测海洋表皮动物群落的复杂特征

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Spatially explicit community models often generate a wide range of complex dynamics and behaviours, but the predictions of community structure and dynamics from many of these models are rarely compared with the natural communities they are intended to represent. Here, we develop a spatially explicit individual-based model of a complex marine epibenthic community and test its ability to predict the dynamics and structure of the natural community on which the model is based. We studied a natural epibenthic community on small-scale patches of jetty wall to estimate the outcomes of pair-wise interactions among individuals of different species, neighbour-specific growth rates, and species-specific recruitment and mortality rates. The model is defined with rules acting at two spatial scales: (1) between individual cells on the spatial landscape that define the nature of interactions, growth and recruitment at a scale of 1 cm(2), and (2) at the scale of whole colonies (blocks of contiguous cells) that define size-specific mortality and limitations to the maximum size of colonies for some species for scales up to 1000 cm(2). The model is compared to the existing patches on the jetty wall and proves to be a good descriptor of the large range of possible communities on the jetty, and of the multivariate variances of the patches. The high variability in community structure predicted by the model, which is similar to that observed in the natural community, arises from observed variability in parameters of interaction outcomes, growth, recruitment, and mortality of each species. Thus if the processes we modelled operate similarly in nature, our results suggest that it is difficult to attempt to predict the precise trajectory of the community in a particular patch. Our results show that it is possible to develop a testable, predictive spatial model where the patch-scale community patterns of structure and dynamics are emergent, arising from local processes between colonies and species-specific demography. (c) 2005 Elsevier B.V. All rights reserved.
机译:在空间上明确的社区模型通常会产生各种各样的复杂动态和行为,但是很少将其中许多模型对社区结构和动态的预测与它们要代表的自然社区进行比较。在这里,我们开发了一个复杂的海洋表生动物群落的空间显性个体模型,并测试了其预测该模型所基于的自然群落的动力学和结构的能力。我们研究了小规模码头壁上的自然表皮动物群落,以估计不同物种的个体之间成对相互作用的结果,特定邻居的生长速率以及特定物种的招募和死亡率。该模型由在两个空间尺度上起作用的规则定义:(1)在空间景观上的各个单元之间定义相互作用,生长和募集性质的尺度为1 cm(2),以及(2)尺度为1。整个菌落(连续细胞块)定义了特定大小的死亡率以及某些物种的菌落最大尺寸的限制(最大尺度为1000 cm(2))。该模型与码头壁上现有的斑块进行了比较,并被证明是码头上大量可能的群落以及斑块的多元方差的良好描述。该模型预测的群落结构高变异性与自然群落中观察到的相似,是由于观察到的相互作用结果,每个物种的生长,募集和死亡率参数的变异性所致。因此,如果我们建模的过程本质上具有类似的运行方式,那么我们的结果表明,很难尝试预测特定补丁中社区的精确轨迹。我们的结果表明,有可能开发出一种可检验的,预测性的空间模型,在该模型中,由于殖民地和特定物种的人口统计学之间的局部过程而出现结构和动力学的斑块规模的社区格局。 (c)2005 Elsevier B.V.保留所有权利。

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