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How big and how close? Habitat patch size and spacing to conserve a threatened species.

机译:多大和多近?栖息地斑块的大小和间距,以保护濒临灭绝的物种。

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We present results of a spatially explicit, individual-based stochastic dispersal model (HexSim) to evaluate effects of size and spacing of patches of habitat of Northern Spotted Owls (NSO; Strix occidentalis caurina) in Pacific Northwest, USA, to help advise recovery planning efforts. We modeled 31 artificial landscape scenarios representing combinations of NSO habitat cluster size (range 4-49 NSO pairs per cluster) and edge-to-edge cluster spacing (range 7-101 km), and an all-habitat landscape. We ran scenarios using empirical estimates of NSO dispersal dynamics and distances and stage class vital rates (representing current population declines) and under adult survival rates adjusted to achieve an initially stationary population. Results suggested that long-term (100-yr) habitat occupancy rates are significantly higher with habitat clusters supporting >=25 NSO pairs and <=15 km spacing, and with overall landscapes of >=35-40% habitat. Although habitat provision is key to NSO recovery, no habitat configuration provided for long-term population persistence when coupled with currently observed vital rates. Results also suggested a key role of floaters (unpaired, nonterritorial, dispersing owls) in recolonizing vacant habitat, and that the floater population segment becomes increasingly depleted with greater population declines. We suggest additional areas of modeling research on this and other threatened species.
机译:我们提出一个基于空间的,基于个体的随机扩散模型(HexSim)的结果,以评估美国西北太平洋北部斑ted(NSO; Strix occidentalis caurina)栖息地斑块的大小和间距的影响,以帮助建议恢复计划努力。我们对31种人工景观情景进行了建模,这些情景代表了NSO生境群集大小(每个群集4-49个NSO对的范围)和边缘到边缘群集间距(范围7-101 km)的组合,以及一个全栖息地景观。我们使用NSO传播动态和距离的经验估计进行了情景预测,并得出阶段类生命率(代表当前人口的下降),并根据成年生存率进行了调整,以实现最初的稳定人口。结果表明,长期栖息地(100年)的居住率要高得多,其中栖息地集群支持> = 25 NSO对且间隔== 15 km,且整体景观栖息地> = 35-40%。尽管提供栖息地是NSO恢复的关键,但结合当前观察到的生命率,没有提供能够长期维持种群生存的栖息地配置。结果还表明,在重新定居空旷的生境中,流动人口(未成对,非领土,分散的猫头鹰)起着关键作用,并且流动人口数量随着人口的减少而日益枯竭。我们建议对该模型和其他受威胁物种进行建模研究的其他领域。

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