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首页> 外文期刊>Oikos: A Journal of Ecology >Predicting spatial distribution of foragers over large resource landscapes: A modeling analysis of the Ideal Free Distribution
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Predicting spatial distribution of foragers over large resource landscapes: A modeling analysis of the Ideal Free Distribution

机译:预测大型资源景观上觅食者的空间分布:理想自由分布的模型分析

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摘要

Ideal Free Distributions (IFD) have successfully been used to describe the spatial distributions of animals in heterogeneous or patchy environments over relatively small areas. Ideal Free theory and the logic underlying it have recently been used to describe animal distributions over large landscapes and in doing so, these studies have not precisely met all of the assumptions of the IFD. Here, we use an individual-based simulation model of a population of generalized foragers to test the ability of the IFD to predict the equilibrium distribution of organisms in a large environment. Conditions of the model meet the assumptions of Ideal Free theory. Food abundance follows a fractal distribution spatially through the environment. Model foragers have a type II functional response and a marginal-value theorem type patch departure rule. Foragers may move through the environment without cost, and foraging does not affect food availability. In a simulation experiment, we manipulate the scale of heterogeneity in food distribution, the number of foragers in the population, the distance foragers move, and the scale of IFD predictions to determine the ability of the IFD to predict equilibrium spatial distribution of foragers. The experiment shows that correlations between IFD predictions and the distribution of simulated foragers were lower when food had a fractal distribution than when food resources had a random spatial distribution. IFD predictions best fit simulated forager distributions on fractal food landscapes when the scale at which distributions were measured was similar to the maximum movement distance of the foragers. Large differences between maximum movement distance and scale of measure resulted in low correlations between equilibrium distributions of simulated foragers and IFD predictions. These results indicate that the IFD is likely not a good predictor of animal distributions in large environments and that the extent of the area over which an IFD is used should be similar to the maximum daily movement of the animals under study.
机译:理想的自由分布(IFD)已成功用于描述动物在相对较小区域的异构或斑块环境中的空间分布。理想自由理论及其基础的逻辑最近已用于描述大型景观中的动物分布,并且在此过程中,这些研究并未完全满足IFD的所有假设。在这里,我们使用广义觅食者种群的基于个体的仿真模型来测试IFD预测大型环境中生物平衡分布的能力。模型的条件符合理想自由理论的假设。食物的丰度在整个环境中都遵循分形分布。模型觅食者具有II型功能响应和边值定理类型补丁偏离规则。觅食者可以免费在环境中穿行,觅食不会影响食物的供应。在模拟实验中,我们操纵食物分布中的异质性规模,种群中觅食者的数量,觅食者移动的距离以及IFD预测的规模,以确定IFD预测觅食者平衡空间分布的能力。实验表明,当食物具有分形分布时,IFD预测与模拟觅食者的分布之间的相关性要比食物资源具有随机空间分布时的低。当测量分形食物景观的尺度与觅食者的最大移动距离相似时,IFD预测最适合在分形食物景观上模拟觅食者的分布。最大移动距离和量度之间的巨大差异导致模拟觅食者的平衡分布与IFD预测之间的相关性较低。这些结果表明,IFD不可能很好地预测大型环境中的动物分布,并且使用IFD的区域范围应与所研究动物的最大日运动量相似。

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