Lecina-Diaz_et_al_2018_carbon_biodiversity.zip

Data of the article Judit Lecina-Diaz, Albert Alvarez, Adrián Regos, Pierre Drapeau, Alain Paquette, Christian Messier and Javier Retana. 2018. The positive carbon stocks - biodiversity relationship in forests: co-occurrence and drivers across five sub-climates. Ecological Applications.<br>2018-04-26<br>The following files included:<br>1) "table2_linear_models.csv" Cell data used to produce table 2 in the above publication. An explanation of the variable and units is included in methods section and Figure 2 of the publication.<br>2) "hotspots_carbon_birds_climates.csv"Cell data of hotspots and coldspots for carbon stocks and bird richness within the sub-climates studied (sub-climate delimitation, Figure S2A). Variables to compute the multinomial logistic models in table S4 are also included.<br>3) "hotspots_carbon_birds_regions.csv"Cell data of hotspots and coldspots for carbon stocks and bird richness within the regions studied (Figure 4A). Variables to compute the multinomial logistic models in table S4 are also included.<br>4) "hotspots_carbon_trees_climates.csv"Cell data of hotspots and coldspots for carbon stocks and tree richness within the sub-climates studied (sub-climate delimitation, Figure S2B).Variables to compute the multinomial logistic models in table S5 are also included.<br>5) "hotspots_carbon_trees_regions.csv"Cell data of hotspots and coldspots for carbon stocks and tree richness within the regions studied (Figure 4B).Variables to compute the multinomial logistic models in table S5 are also included.<br>6) "hotspots_carbon_overallbiodiv_climates.csv"Cell data of hotspots and coldspots for carbon stocks and overall biodiversity within the sub-climates studied (sub-climate delimitation, Figure S2C).Variables to compute the multinomial logistic models in table S6 are also included.<br>7) "hotspots_carbon_overallbiodiv_regions.csv"Cell data of hotspots and coldspots for carbon stocks and overall biodiversity within the regions studied (Figure 4C).Variables to compute the multinomial logistic models in table S6 are also included.

本数据集关联论文为Judit Lecina-Diaz、Albert Alvarez、Adrián Regos、Pierre Drapeau、Alain Paquette、Christian Messier与Javier Retana合著，2018年发表于《生态应用》的《森林中碳储量与生物多样性的正向关联：五种亚气候下的共现模式与驱动因子》，发布日期为2018年4月26日。
本数据集包含以下文件：
1. "table2_linear_models.csv"：用于生成上述论文中表2的单元格数据。变量说明与单位详见该论文的方法部分与图2。
2. "hotspots_carbon_birds_climates.csv"：研究涉及的亚气候区域内，碳储量与鸟类物种丰富度的热点、冷点单元格数据（亚气候区域划分详见图S2A）。同时包含用于构建表S4中多项逻辑回归模型的变量。
3. "hotspots_carbon_birds_regions.csv"：研究涉及的区域内，碳储量与鸟类物种丰富度的热点、冷点单元格数据（详见图4A）。同时包含用于构建表S4中多项逻辑回归模型的变量。
4. "hotspots_carbon_trees_climates.csv"：研究涉及的亚气候区域内，碳储量与树木物种丰富度的热点、冷点单元格数据（亚气候区域划分详见图S2B）。同时包含用于构建表S5中多项逻辑回归模型的变量。
5. "hotspots_carbon_trees_regions.csv"：研究涉及的区域内，碳储量与树木物种丰富度的热点、冷点单元格数据（详见图4B）。同时包含用于构建表S5中多项逻辑回归模型的变量。
6. "hotspots_carbon_overallbiodiv_climates.csv"：研究涉及的亚气候区域内，碳储量与整体生物多样性的热点、冷点单元格数据（亚气候区域划分详见图S2C）。同时包含用于构建表S6中多项逻辑回归模型的变量。
7. "hotspots_carbon_overallbiodiv_regions.csv"：研究涉及的区域内，碳储量与整体生物多样性的热点、冷点单元格数据（详见图4C）。同时包含用于构建表S6中多项逻辑回归模型的变量。