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首页> 外文期刊>Journal of Wildlife Management >Interactive Effects of Vegetation Structure and Composition Describe Bird Habitat Associations in Mixed BroadleafaaConifer Forest
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Interactive Effects of Vegetation Structure and Composition Describe Bird Habitat Associations in Mixed BroadleafaaConifer Forest

机译:植被结构和组成的交互作用描述了阔叶混交林的鸟类栖息地协会。

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摘要

The effects that changes in forest structure and composition have on wildlife have often been considered independently, such that the potential for interactive effects has received relatively little attention. We investigated the importance of vegetation structure, floristic composition, and their interaction for predicting bird distribution in mixed broadleafaaconifer forest. We collected vegetation and bird data at 979 stations in a watershed in southern Oregon in the spring of 2001. At each station, we described the vegetation using measures of structure (total vegetation volume) and of floristic composition (broadleaf-conifer composition). We then used logistic regression to model the probability of occurrence of bird species as a function of these 2 variables, their quadratic terms, and their interaction. Using stepwise model selection we identified the best model for each species and used area under the curve (AUC) scores to evaluate model performance. Of the 44 bird species we investigated, 20 had models with AUC scores aYaY0.70. Of the best models for these 20 species, 1 included vegetation composition alone, 12 included just the main effects of vegetation composition and structure, and 7 included both the main effects and interaction terms. In summer of 2001 a wildfire burned 2,500 ha of the study area, resulting in substantial changes in the vegetation structure and composition. We used 4 yr of postfire bird and vegetation surveys to test the predictive performance of the habitat models for 9 species that occurred at >15% of the burned stations. Models for 3 of these species performed poorly (AUC < 0.7) in all 4 yr. For the other 6 species, predictive performance was low in the first year after fire and improved during subsequent years, suggesting a lagged response to changes in vegetation structure and composition. Quantifying the interactive effects of vegetation structure and composition improves our understanding of how birds respond to forest management and large-scale disturbances, such as wildfires.
机译:人们通常独立地考虑了森林结构和组成变化对野生生物的影响,因此,互动影响的潜力很少受到关注。我们调查了植被结构,植物组成及其相互作用对于预测阔叶阔叶混交林鸟类分布的重要性。在2001年春季,我们在俄勒冈州南部的一个流域中的979个站点上收集了植被和鸟类数据。在每个站点上,我们使用结构(总植被体积)和植物组成(阔叶-针叶树组成)的度量来描述植被。然后,我们使用逻辑回归对这两个变量,它们的二次项以及它们之间的相互作用的函数,对鸟类发生的概率进行建模。使用逐步模型选择,我们确定了每种物种的最佳模型,并使用曲线下面积(AUC)得分来评估模型性能。在我们调查的44种鸟类中,有20种模型的AUC得分为aYaY0.70。在这20个物种的最佳模型中,有1个仅包含植被组成,有12个仅包含植被组成和结构的主要影响,还有7个包含主要影响和相互作用的项。 2001年夏天,一场野火烧毁了研究区域2500公顷,导致植被结构和组成发生了重大变化。我们使用了4年的战后鸟类和植被调查,以测试9种以上栖息地的生境模型的预测性能,这些物种发生在被烧站点的15%以上。在所有4年中,其中3个物种的模型表现不佳(AUC <0.7)。对于其他6个物种,火灾后第一年的预测性能较低,随后几年有所提高,这表明对植被结构和成分变化的反应滞后。量化植被结构和组成的相互作用影响,可以增进我们对鸟类如何响应森林管理和大规模干扰(例如野火)的理解。

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