DOI: 10.5061/dryad.hhmgqnkh0
title: Influence of elevation on bioregionalisation: A case study of the Sino-Himalayan flora

description: Aim: Elevation is an important factor that influences bioregionalisation
 in mountainous areas, but its effects are not well known. Taking the
 Sino-Himalayan flora as a case, we aimed to test the effect of elevation
 on bioregionalisation and provide a regionalisation scheme of the
 Sino-Himalayan flora. Location: The Sino-Himalaya (East Himalaya, the
 Hengduan Mountains and the Yunnan Plateau in China). Taxon: Angiosperms.
 Methods: We compiled distribution data and elevation ranges of angiosperms
 in the Sino-Himalaya and adjacent areas and reconstructed a species-level
 phylogenetic tree of 19,313 angiosperm species. The area was divided into
 398 grid cells, each 1 × 1°. Nine datasets of different elevation ranges
 were then used to delineate the flora of the Sino-Himalaya and adjacent
 areas using the phylogenetic dissimilarity approach. Results: A comparison
 of nine regionalisation schemes of the Sino-Himalayan flora based on
 different elevation range datasets revealed that more than half of grid
 cells were allocated to more than one subregion. Most of these grid cells
 were located in areas with a wide range of elevation and/or at the
 boundaries between subregions. After revising the subregion allocations of
 eight shifting grid cells, we generated a phylogeny- and elevation-based
 regionalisation scheme of three regions, comprising eight subregions, for
 the Sino-Himalayan flora. Main conclusions: By integrating phylogenetic
 and elevational information, the Sino-Himalaya can be divided into three
 floristic regions: the Yunnan Plateau region, the Hengduan Mountains
 region, and the East Himalaya region. Our study provides novel insights
 into the regionalisation of the flora and highlights the importance of
 incorporating elevation data in the bioregionalisation of areas with a
 broad elevational range.
description: We compiled distribution data and elevation ranges of angiosperms in the Sino-Himalaya and adjacent areas from national and local floras (Appendix S1: Table S1.1), specimen records in the Chinese Virtual Herbarium (CVH, http://www.cvh.ac.cn/) and the studies of Zhang, Ye, et al. (2016) and Lu et al. (2018). Species names were standardised following the Flora of China (Wu et al., 1994–2013). Intraspecific categories were integrated into respective species. Non-native species were excluded. The distribution data for all species were standardised to the level of administrative county. To reduce the effects of unbalanced sampling within counties, we converted county data into grid data. The geographical distribution layer was set as a spatial gridded layer with a resolution of one degree (~110 × 110 km at the equator). We generated a species-level presence–absence matrix for the 398 grid cells of the Sino-Himalaya and adjacent areas after matching counties and grids. Elevation range and average elevation were obtained for each grid cell. After excluding species lacking elevation data, we obtained the gridded distribution database containing 550,451 grid-level distribution records of 19,313 angiosperm species (dataset <em>A</em>).
description: README.txt contains parameter descriptions for each of the
 following files: fulltree.tree file contains the
 phylogenetic tree of 19,313 angiosperm species in the Sino-Himalaya and
 adjacent areas. distribution_elevation_data.csv
 file contains the gridded distribution information and the elevation
 information for the angiosperms in the Sino-Himalaya and adjacent
 areas.