Data on the predictions of plant redistribution under interplays among climate change, land-use change, and dispersal capacity

The future distribution data of Pittosporum tobira, Raphiolepis indica var. umbellata, Neolitsea sericea, Ilex integra, and Eu-rya emarginata were acquired from the MigClim, a GIS-based (hybrid) cellular automation model, modeling and the tradi-tional SDM modeling using BioMod2. The current SDM pro-jections, the traditional SDM predictions, which were as-sumed the climate-change-only, and model validation were performed using BioMod2 with 686 presence/absence data for each plant species. The MigClim predictions were per-formed under the combination of two climate change sce-narios (RCP 4.5 and RCP 8.5), two land-use change scenarios (SSP1 and SSP3), and four dispersal scenarios (no dispersal, short-distance dispersal, long-distance dispersal, and full dis-persal). For the MigClim predictions, the initial distribution map was produced by coupling the current land-use map with the ensemble SDM predictions for each plant. The fu-ture habitat suitability map was predicted by coupling the land-use prediction with the SDM predictions under RCP 4.5 and RCP 8.5. For the land-use map, the future land-use maps were predicted under SSP1 and SSP3 using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) Sce-nario Generator tool, and the land-use categories were classi-fied into two classes, namely barrier and non-barrier. The de-gree of dispersal for each species was calculated using a neg-ative exponential function, where the coefficients were 0.005 (-1 km) and 0.0 0 05 (-10 km). The future expansion of range was predicted through dispersal simulations of 80 times from 1990 to 2070. The prediction and analyzed data provide es-sential information and insight for understanding the cli-mate change effects on the warm-adapted plants in interac-tions with land-use change and the dispersal process. These data can be used for detecting restoration areas for increas-ing connectivity among habitats, establishing protected areas, and developing environmental policies related to restoration and conservation.(c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )