Dataset for "Spatial Diversity of Yunnan’s Fern and Lycophyte diversity coincides with Environmental Disparity"

Table S1 The identity of the county (FID), the county name applied in analysis, official county name, official county name in Chinese, official prefecture name, official prefecture name in Chinese, longitude, latitude, number of specimens, number of species, number of genera, number of families, area of county (km2), area weighed species, mean turnover based on Simpson dissimilarity index, mean nestedness-resultant, mean diversity based on Sørensen dissimilarity index, area weighted diversity indices (Mean SIM/AC, Mean SNR/AC, Mean SOR/AC), tropicality indices such as percentage of species with temperate affinity (Te. Sp.), semi-temperate affinity (Se-Te. Sp.), tropical affinity (Tr. Sp.) and semi-tropical affinity (Se-Tr. Sp.) for each county, twenty-four environmental variables (DEM, Slope, Canopy, WWP, Thermicity, PET, PET Seasonality, Growingday5, Emberger, Continentality, BIO14, Aet Seasonality, Aet, Arid, BIO1, BIO3, BIO4, BIO5, BIO6, BIO12, BIO13, BIO15, Treedensity, Karst Per Area) are listed for 124 counties in Yunnan. Six counties with no records and five counties with less than three species records are excluded from the analysis and results are applied as NA. The detail explanation of all environmental variables is described in the table. The tropicality indices are based on the proportion outside the range of the tropic of Cancer and tropic of Capricorn, for instance they are defined by the result of subtraction from the proportion of availability inside the tropics assigning temperate (-1 ≤ TI ≤ -0.5), semi-temperate (-0.5 < TI ≤ 0), semi-tropical (0 < TI ≤ -0.5) and tropical (0.5 < TI ≤ 1).

Table S2 The occurrence of lineage, order, family, genus and species regarding to the county and prefecture in Yunnan. The identity of the county (FID) is the same as in table S1 that they can be linked.

Table S3 Tropicality index (TI) as defined in Kerkhoff et al. 2014 is calculated based on the differences of weighted distribution range in tropical and temperate region of global occurrences of 1,312 species recorded in Yunnan. TI defines as temperate (-1 ≤ TI ≤ -0.5), semi-temperate (-0.5 < TI ≤ 0), semi-tropical (0 < TI ≤ -0.5) and tropical (0.5 < TI ≤ 1).

附表S1 针对云南省124个县域，列出了如下信息：县域标识（FID）、分析中使用的县域名称、官方县域名称、官方中文县域名称、官方地级市名称、官方中文地级市名称、经度、纬度、标本数量、物种数、属数、科数、县域面积（km²）、面积加权物种量、基于辛普森相异指数的平均周转度、平均嵌套成因周转值、基于索伦森相异指数的平均多样性值、面积加权多样性指数（均值SIM/AC、均值SNR/AC、均值SOR/AC），以及各县域的热带性指数：包括具有温带亲和性的物种占比（Te. Sp.）、半温带亲和性的物种占比（Se-Te. Sp.）、热带亲和性的物种占比（Tr. Sp.）与半热带亲和性的物种占比（Se-Tr. Sp.），同时包含24项环境变量：数字高程模型（DEM）、坡度（Slope）、郁闭度（Canopy）、WWP、热度指数（Thermicity）、潜在蒸散量（PET）、潜在蒸散季节变化（PET Seasonality）、5℃以上生长日数（Growingday5）、恩伯格指数（Emberger）、大陆度（Continentality）、生物气候变量14（BIO14）、实际蒸散季节变化（Aet Seasonality）、实际蒸散量（Aet）、干旱度指数（Arid）、生物气候变量1（BIO1）、生物气候变量3（BIO3）、生物气候变量4（BIO4）、生物气候变量5（BIO5）、生物气候变量6（BIO6）、生物气候变量12（BIO12）、生物气候变量13（BIO13）、生物气候变量15（BIO15）、树木密度（Treedensity）、单位面积喀斯特面积（Karst Per Area）。
本分析剔除了6个无记录县域及5个物种记录不足3个的县域，缺失结果以NA标注。所有环境变量的详细说明见本附表。
热带性指数基于北回归线与南回归线以外区域的物种占比计算得出：通过热带区域内可利用物种占比的差值进行定义，其中温带型（-1 ≤ TI ≤ -0.5）、半温带型（-0.5 < TI ≤ 0）、半热带型（0 < TI ≤ -0.5）以及热带型（0.5 < TI ≤ 1）。

附表S2 记录了云南省各县域及地级市的支系、目、科、属、物种出现情况。本附表中的县域标识（FID）与附表S1一致，可进行关联匹配。

附表S3 热带性指数（TI）参照Kerkhoff等人2014年的定义，基于云南省记录的1312个物种在全球范围内的热带与温带区域加权分布范围差值计算得到。TI的分类标准为：温带型（-1 ≤ TI ≤ -0.5）、半温带型（-0.5 < TI ≤ 0）、半热带型（0 < TI ≤ -0.5）以及热带型（0.5 < TI ≤ 1）。