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Modelling the third dimension: Incorporating topography into the movement rules of an individual-based spatially explicit population model

机译:第三维建模:将地形纳入基于个人的空间明确人口模型的运动规则

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A wide variety of topographical and environmental elements have been shown or proposed to influence the movement decisions of dispersing animals. Most real landscapes have topographical elements such as hills, valleys and urban developments, which can all act to modify a species' perceptual range and directly influence movement behaviour. If a visual-based perceptual ability enables a dispersing individual to locate suitable habitat patches at a distance, then it is to be expected that topographical features would act to modify the overall success of this strategy. However, the majority of individual-based Spatially Explicit Population Models (SEPM) employ only two-dimensional landscapes.rnTo investigate the effects of topographical elevation on dispersal patterns, a three-dimensional visual-based perceptual range algorithm was added to the dispersal rules of an individual-based SEPM. To explore the possible influences of a behavioural-based response to topography, an algorithm modelling valley-seeking behaviour was also developed. The performance of both algorithms was compared with that of a two-dimensional visual-based perceptual range algorithm. The overall consequences of dispersal under each algorithm were measured by recording population sizes in a target wood in the centre of a modelled, real landscape.rnThe size of the population in the target wood, modelled using both of the three-dimensional algorithms, exhibited sensitivity to the direction of dispersal in interaction with perceptual range, which differed from that predicted by the two-dimensional approach. Population size was dependant on the spatial configuration of habitat patches and on the topography of the landscape, both of which could guide dispersers either towards or away from the target patch depending on the particular combinations of dispersal directions and perceptual ranges selected. Topography was found to have a greater effect on dispersal at shorter perceptual ranges, and thresholds in the results for all three algorithms suggested the existence of species and landscape dependant optimal perceptual ranges. It is recommended that both topography and topographical-based dispersal-altering algorithms, commensurate with the studied species' behaviour, be incorporated into the movement rule-base of dispersal simulation models. The modelling of topography and its effects on movement in patchy landscapes are seen as essential ingredients in future landscape planning.
机译:已经显示或提议了各种各样的地形和环境因素来影响分散动物的运动决策。大多数真实的景观都具有地形元素,例如丘陵,山谷和城市发展,这些都可以改变物种的感知范围,并直接影响运动行为。如果基于视觉的感知能力使分散的人可以在远处找到合适的栖息地,那么可以预期地形特征将改变该策略的整体成功。但是,大多数基于个体的空间显式人口模型(SEPM)仅使用二维景观。为了研究地形高程对分散模式的影响,将基于视觉的三维感知范围算法添加到了三维视觉感知范围算法中。基于个人的SEPM。为了探索基于行为的响应对地形的可能影响,还开发了一种模拟寻谷行为的算法。将两种算法的性能与基于二维视觉的感知范围算法的性能进行了比较。通过在模拟的真实景观中心记录目标木材中的种群大小,可以测量每种算法下的总体扩散结果。rn使用这两种三维算法进行建模的目标木材中的种群大小表现出敏感性与感知范围相互作用的扩散方向,这与二维方法所预测的方向不同。种群数量取决于栖息地斑块的空间配置和景观的地形,这两者都可以根据所选择的扩散方向和感知范围的特定组合,引导分散器向目标斑块移动或远离目标斑块。发现地形在较短的感知范围内对散布影响更大,所有三种算法的结果阈值都表明存在物种和与景观有关的最佳感知范围。建议将与所研究物种的行为相称的地形和基于地形的散布改变算法都纳入散布模拟模型的运动规则库中。地形建模及其对斑驳景观中运动的影响被视为未来景观规划中的基本要素。

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