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dataset_multimodel_open_area_sp.txt

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DataCite Commons2023-12-19 更新2024-08-18 收录
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File: dataset_multimodel_open_area_sp (txt file)<br>Contents overview: Survey data on landscape variables and bird diversity (hill numbers) to open area birds sampled species in 30 plots between natural and agricultural areas in the Caatinga region, Northeast Brazil. <br>Plot: Sampling units were identified by the three study areas. AL: PPN Faz. Almas; SJ: Estação Experimental de São João do Cariri; SP: Faz. São Paulo dos Dantas.fragmentation: Spatial arrangement metric. Forest fragmentation is expressed by the number of forest fragments per hectare.Densi_borda: Edge density as the linear length of forest cover and woodlands measured in km. habitat_amount: Habitat amount for which we consider the proportion of forest cover and woodlands.Heteroge: Landscape heterogeneity considering the Shannon index of land use (landscape diversity per ha). q0: Representation of the total number of species (species richness). A list of open-area birds is considered.q1: Representation of the species weighted according to their abundance and the number of ‘common’ species in the community. A list of open-area birds is considered.q2: Representation of the abundances squared, giving more weight to dominant species, thus representing the number of ‘dominant’ species in the community. A list of open-area birds is considered.

文件:dataset_multimodel_open_area_sp(文本文件)<br>内容概况:本数据集包含巴西东北部卡廷加(Caatinga)区域内30个分布于自然与农业用地间的样地的开阔地带鸟类物种调查数据,涵盖景观变量与鸟类多样性(希尔数,Hill numbers)相关信息。<br>样地:采样单元由3个研究区域标识。AL:PPN Faz. Almas;SJ:Estação Experimental de São João do Cariri;SP:Faz. São Paulo dos Dantas。<br>变量fragmentation(景观破碎度):空间格局度量指标。森林破碎度以每公顷森林斑块数量表征。<br>变量Densi_borda(边缘密度):以千米为单位计量的林冠与林地线性长度,即边缘密度。<br>变量habitat_amount(生境总量):通过林冠与林地的占比来表征生境总量。<br>变量Heteroge(景观异质性):基于土地利用香农指数(Shannon index)计算得到的景观异质性,即每公顷景观多样性。<br>q0:用于表征物种总数(物种丰富度,species richness),本数据集仅统计开阔地带鸟类类群。<br>q1:基于物种多度对物种进行加权,用于表征群落内‘常见’物种的数量,本数据集仅统计开阔地带鸟类类群。<br>q2:对物种多度进行平方运算,赋予优势种更高权重,以此表征群落内‘优势’物种的数量,本数据集仅统计开阔地带鸟类类群。
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figshare
创建时间:
2023-12-19
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