首页> 外文期刊>Southern Journal of Applied Forestry >Using Public Land Cover Data to Determine Habitat Associations of Breeding Birds in Tuskegee National Forest, Alabama
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Using Public Land Cover Data to Determine Habitat Associations of Breeding Birds in Tuskegee National Forest, Alabama

机译:利用公共土地覆盖数据确定阿拉巴马州塔斯基吉国家森林中鸟类的栖息地关联

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摘要

A decline in the numbers of breeding songbirds is assumed to be related to habitat loss, but for many species, habitat needs during the breeding season are not well understood. Therefore, we developed habitat use models to quantify habitat relationships for breeding birds within a mostly forested landscape centered on Tuskegee National Forest, Alabama. We conducted bird counts at 338 points and derived habitat characteristics within 100 m of each point using the Alabama Gap Analysis Program land cover map and the National Land Cover Database Tree Canopy Cover map. We modeled avian abundances and habitat associations based on cover type and canopy cover using N-mixture models. We detected more than 16,000 individuals of 85 species, and we present models of abundances for 42 species. Canopy cover was the most influential habitat characteristic, although many species abundances were influenced by cover type. For most species, detection was influenced by observer; date, time, and weather variables were less important in determining detectability. We demonstrate how bird habitat associations can be modeled at a coarse spatial scale using publicly available land cover maps. Our observations regarding the habitat associations of birds in Tuskegee National Forest may be applicable elsewhere within the East Gulf Coastal Plain, but the regional specificity of habitat use should be tested before such extrapolations are justified.
机译:人们认为,繁殖鸣禽数量的减少与栖息地的丧失有关,但是对于许多物种而言,繁殖季节期间对栖息地的需求尚不十分清楚。因此,我们开发了栖息地使用模型来量化以阿拉巴马州塔斯基吉国家森林为中心的大部分森林景观中繁殖鸟类的栖息地关系。我们使用阿拉巴马州差距分析计划的土地覆盖图和国家土地覆盖数据库的树冠覆盖图,对338个点进行了鸟类计数并得出了每个点100 m以内的栖息地特征。我们使用N-mixture模型基于覆盖类型和冠层覆盖对鸟类的丰度和栖息地关联进行建模。我们检测到超过85个物种的16,000个个体,并提出了42种物种的丰度模型。尽管许多物种的丰度受到覆盖类型的影响,但冠​​层覆盖是最有影响力的生境特征。对于大多数物种,检测受到观察者的影响。日期,时间和天气变量在确定可检测性方面不太重要。我们演示了如何使用可公开获得的土地覆盖图在粗略的空间尺度上模拟鸟类栖息地协会。我们对塔斯基吉国家森林中鸟类栖息地关联的观察可能适用于东墨西哥湾沿岸平原的其他地方,但是在证明这种推断合理之前,应先测试栖息地使用的区域特异性。

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