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首页> 外文期刊>Ecological Modelling >Modeling impacts of landscape connectivity on dispersal movements of northern flying squirrels (Glaucomys sabrinus griseifrons)
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Modeling impacts of landscape connectivity on dispersal movements of northern flying squirrels (Glaucomys sabrinus griseifrons)

机译:景观连通性对北部飞鼠分散运动的建模影响(Glaucomys Sabrinus Griseifrons)

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Landscape connectivity is a key component for successful dispersal of wildlife. Many approaches to quantify landscape connectivity utilize landscape characteristics and wildlife behavior in response to those characteristics, whereas other approaches focus on wildlife dispersal behavior. Combining landscape structure and wildlife behavior (e.g. movement, food acquisition, response to predation risk) provides critical information for conservation and management of many species. Individual-based models (IBM) are useful tools for evaluating the interaction between landscape characteristics and individual behaviors, thereby providing insights into management and conservation. Our objective was to evaluate the effect of reductions in landscape connectivity on northern flying squirrel dispersal movements under alternative timber management scenarios within the modeling framework of a spatially-explicit IBM. We simulated timber harvests of 6% and 9% of old-growth forest, the primary habitat for this species, distributed across 5, 10 or 15 harvest locations. We measured the influence of these scenarios upon landscape connectivity for flying squirrels. Landscapes with greater connectivity exhibited longer flying squirrel dispersal distances, more sinuous dispersal paths, and a greater total area of landscape utilization. However, connectivity was not directly correlated with habitat loss. The harvest scenario with 6% harvest of old growth distributed among 15 harvest locations had the lowest connectivity index value despite other scenarios modeling a greater percentage of old growth loss. The IBM demonstrated the importance of behaviors such as path tortuosity and movement rates in conjunction with landscape configuration in influencing the movement of dispersing individuals. The spatially explicit IBM provided a framework to evaluate connectivity from a fine-scale behavioral rather than structural perspective as well as to evaluate the distribution of new home range location
机译:景观连接是野生动物成功分散的关键组成部分。许多方法来量化景观连接利用景观特征和野生动物行为以响应这些特征,而其他方法关注野生动物分散行为。结合景观结构和野生动物行为(例如,运动,食物采购,捕食风险的响应)提供了许多物种的保护和管理的关键信息。基于个性的模型(IBM)是用于评估景观特征和个人行为之间的相互作用的有用工具,从而提供对管理和保护的见解。我们的目标是评估在空间显式IBM的建模框架内的替代木材管理情景下,评估景观连通性对北部飞行鼠分散运动的影响。我们模拟了6%和9%的旧成长森林的木材收割,这一物种的主要栖息地,分布在5,10或15个收获位置。我们在飞行松鼠横向连接时测量了这些情景的影响。具有更大连接的景观展现了较长的飞行灰鼠分散距离,更加致力的分散路径,以及更大的景观利用区域。但是,连接与栖息地损失没有直接相关。尽管其他场景建模较大的旧增长损失,但在15个收获位置分布的收获方案具有6%的旧成长的收获具有最低的连接指标值。 IBM展示了在影响分散个体的运动方面结合横向配置的行为等行为和运动率的重要性。空间显式IBM提供了一种框架,可以评估来自微尺度行为而不是结构的视角,以及评估新家庭范围位置的分布

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