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最节省成本的交通网络预测入侵媒介的空间相互作用。

Least-cost transportation networks predict spatial interaction of invasion vectors.

机构信息

Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks Street, Toronto, Ontario M5S 3B2, Canada.

出版信息

Ecol Appl. 2010 Dec;20(8):2286-99. doi: 10.1890/09-2005.1.

Abstract

Human-mediated dispersal among aquatic ecosystems often results in biotic transfer between drainage basins. Such activities may circumvent biogeographic factors, with considerable ecological, evolutionary, and economic implications. However, the efficacy of predictions concerning community changes following inter-basin movements are limited, often because the dispersal mechanism is poorly understood (e.g., quantified only partially). To date, spatial-interaction models that predict the movement of humans as vectors of biotic transfer have not incorporated patterns of human movement through transportation networks. As a necessary first step to determine the role of anglers as invasion vectors across a land-lake ecosystem, we investigate their movement potential within Ontario, Canada. To determine possible model improvements resulting from inclusion of network travel, spatial-interaction models were constructed using standard Euclidean (e.g., straight-line) distance measures and also with distances derived from least-cost routing of human transportation networks. Model comparisons determined that least-cost routing both provided the most parsimonious model and also excelled at forecasting spatial interactions, with a proportion of 0.477 total movement deviance explained. The distribution of movements was characterized by many relatively short to medium travel distances (median = 292.6 km) with fewer lengthier distances (75th percentile = 484.6 km, 95th percentile = 775.2 km); however, even the shortest movements were sufficient to overcome drainage-basin boundaries. Ranking of variables in order of their contribution within the most parsimonious model determined that distance traveled, origin outflow, lake attractiveness, and sportfish richness significantly influence movement patterns. Model improvements associated with least-cost routing of human transportation networks imply that patterns of human-mediated invasion are fundamentally linked to the spatial configuration and relative impedance of human transportation networks, placing increased importance on understanding their contribution to the invasion process.

摘要

人类在水生生态系统中的介导扩散常常导致流域间的生物转移。这些活动可能会规避生物地理因素,具有相当大的生态、进化和经济意义。然而,关于流域间运动后群落变化的预测的效果有限,通常是因为扩散机制理解得不好(例如,仅部分量化)。迄今为止,预测人类作为生物转移载体的运动的空间相互作用模型尚未将人类通过交通网络的运动模式纳入其中。为了确定钓鱼者作为跨越陆地-湖泊生态系统的入侵载体的作用,我们调查了他们在加拿大安大略省的运动潜力。为了确定纳入网络旅行可能会对模型改进的影响,我们使用标准欧几里得(例如,直线)距离度量和人类交通网络的最小成本路由距离来构建空间相互作用模型。模型比较确定,最小成本路由不仅提供了最简约的模型,而且在预测空间相互作用方面表现出色,总运动偏差的比例为 0.477。运动的分布特征是许多相对较短到中等的旅行距离(中位数=292.6 公里),较短的距离较少(75%分位数=484.6 公里,95%分位数=775.2 公里);然而,即使是最短的运动也足以克服流域边界。根据最简约模型中变量的贡献对变量进行排序,确定旅行距离、起源流出量、湖泊吸引力和游钓鱼种丰富度对运动模式有显著影响。与人类交通网络的最小成本路由相关的模型改进意味着人类介导的入侵模式与人类交通网络的空间配置和相对阻抗密切相关,这增加了对理解它们对入侵过程的贡献的重要性。

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