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斑块大小与距离:从克隆生长角度对栖息地结构进行建模

Patch size and distance: modelling habitat structure from the perspective of clonal growth.

作者信息

Oborny Beáta, Hubai Andras G

机构信息

Department of Plant Taxonomy, Ecology, and Theoretical Biology, Loránd Eötvös University, 1/C Pázmány Péter stny., Budapest, H-1117, Hungary

Department of Plant Taxonomy, Ecology, and Theoretical Biology, Loránd Eötvös University, 1/C Pázmány Péter stny., Budapest, H-1117, Hungary.

出版信息

Ann Bot. 2014 Aug;114(2):389-98. doi: 10.1093/aob/mcu110. Epub 2014 Jun 18.

Abstract

BACKGROUND AND AIMS

This study considers the spatial structure of patchy habitats from the perspective of plants that forage for resources by clonal growth. Modelling is used in order to compare two basic strategies, which differ in the response of the plant to a patch boundary. The 'avoiding plant' (A) never grows out of a good (resource-rich) patch into a bad (resource-poor) region, because the parent ramet withdraws its subsidy from the offspring. The 'entering plant' (E) always crosses the boundary, as the offspring is subsidized at the expense of the parent. In addition to these two extreme scenarios, an intermediate mixed strategy (M) will also be tested. The model is used to compare the efficiency of foraging in various habitats in which the proportion of resource-rich areas (p) is varied.

METHODS

A stochastic cellular automata (CA) model is developed in which habitat space is represented by a honeycomb lattice. Each cell within the lattice can accommodate a single ramet, and colonization can occur from a parent ramet's cell into six neighbouring cells. The CA consists of two layers: the population layer and the habitat. In the population layer, a cell can be empty or occupied by a ramet; in the habitat layer, a cell can be good (resource-rich) or bad (resource-poor). The habitat layer is constant; the population layer changes over time, according to the birth and death of ramets.

KEY RESULTS

Strategies M and E are primarily limited by patch distance, whereas A is more sensitive to patch size. At a critical threshold of the proportion of resource-rich areas, p = 0·5, the mean patch size increases abruptly. Below the threshold, E is more efficient than A, whilst above the threshold the opposite is true. The mixed strategy (M) is more efficient than either of the pure strategies across a broad range of p values.

CONCLUSIONS

The model predicts more species/genotypes with the 'entering' strategy, E, in habitats where resource-rich patches are scattered, and more plants with the 'avoiding' strategy, A, in habitats where the connectivity of resource-rich patches is high. The results suggest that the degree of physiological integration between a parent and an offspring ramet is important even across a very short distance because it can strongly influence the efficiency of foraging.

摘要

背景与目的

本研究从通过克隆生长获取资源的植物视角,考量斑块状栖息地的空间结构。运用建模来比较两种基本策略,这两种策略在植物对斑块边界的反应方面存在差异。“回避型植物”(A)从不从优质(资源丰富)斑块生长到劣质(资源匮乏)区域,因为母株分株会从子株撤回其养分供应。“侵入型植物”(E)总是跨越边界,因为子株是以母株为代价获得养分供应的。除了这两种极端情况外,还将测试一种中间混合策略(M)。该模型用于比较在资源丰富区域比例(p)不同的各种栖息地中觅食的效率。

方法

开发了一个随机细胞自动机(CA)模型,其中栖息地空间由蜂窝晶格表示。晶格内的每个单元格可容纳一个分株,并且定殖可从母株分株的单元格发生到六个相邻单元格。该细胞自动机由两层组成:种群层和栖息地层。在种群层,一个单元格可以为空或被一个分株占据;在栖息地层,一个单元格可以是优质(资源丰富)或劣质(资源匮乏)。栖息地层是恒定的;种群层随分株的生死而随时间变化。

关键结果

策略M和E主要受斑块距离限制,而A对斑块大小更敏感。在资源丰富区域比例的临界阈值p = 0·5时,平均斑块大小会突然增加。低于该阈值时,E比A更有效,而高于该阈值时则相反。在广泛的p值范围内,混合策略(M)比任何一种纯策略都更有效。

结论

该模型预测,在资源丰富斑块分散的栖息地中,采用“侵入”策略E的物种/基因型更多;在资源丰富斑块连通性高的栖息地中,采用“回避”策略A的植物更多。结果表明,即使在非常短的距离内,母株与子株分株之间的生理整合程度也很重要,因为它会强烈影响觅食效率。

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