{"title":"Using Public Land Cover Data to Determine Habitat Associations of Breeding Birds in Tuskegee National Forest, Alabama","authors":"C. McClure, L. Estep, G. Hill","doi":"10.1093/SJAF/35.4.199","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":51154,"journal":{"name":"Southern Journal of Applied Forestry","volume":"90 1","pages":"199-209"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/SJAF/35.4.199","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Southern Journal of Applied Forestry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/SJAF/35.4.199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
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.
繁殖鸣禽数量的减少被认为与栖息地的丧失有关,但对许多物种来说,繁殖季节对栖息地的需求尚不清楚。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。在338个地点进行了鸟类计数,并利用Alabama Gap Analysis Program土地覆盖图和National land cover Database Tree Canopy cover图获得每个地点100 m范围内的栖息地特征。基于覆盖类型和冠层覆盖,利用n -混合模型模拟了鸟类丰度和栖息地关联。我们检测了85个物种的16000多个个体,并给出了42个物种的丰度模型。林冠覆盖度是最具影响的生境特征,但许多物种的丰度受覆盖度类型的影响。对于大多数物种,检测受观察者的影响;日期、时间和天气变量在确定可探测性方面不太重要。我们展示了如何使用公开的土地覆盖地图在粗糙的空间尺度上模拟鸟类栖息地的关联。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湾沿岸平原的其他地方,但在这种推断被证明是合理的之前,应该对栖息地使用的区域特异性进行测试。