DOI: 10.16904/envidat.154
title: Factors slowing down upward shifts of trees’ upper elevation limits

description: Species range limits are expected to be dramatically altered under future climate change and many species are predicted to shift their distribution upslope to track their suitable conditions (i.e. based on their niche). However, there might be large discrepancies between the speed of the upward shift of the climatic niche and the actual migration velocity of the species, especially in long-lived organisms such as trees. Here, we compared the simulations of the upslope displacement of the bioclimatic envelope of 16 tree species inhabiting temperate mountain forests under ongoing and future climate change obtained by correlative species distribution models (SDMs) to those from a dynamic forest model accounting for dispersal, competition and demography. We then partitioned the discrepancy in upslope migration velocity between the SDMs and the dynamic forest model into different components by manipulating dispersal limitation, interspecific competition and demography. 
This dataset contains the calibration and evaluation data used to create the bioclimatic envelope models, the predictors for the future scenarios (raster layers) and the bioclimatic input data used in the dynamic forest models used in the following publication (Scherrer et al. 2020). 
Paper Citation:
Scherrer, D., Vitasse, Y., Guisan , A., Wohlgemuth, T., & Lischke, H. (2020). Competition and demography rather than dispersal limitation slow down upward shifts of trees’ upper elevation limits in the Alps. Journal of Ecology, in press.
description: Resource Title: Data for bioclimatic envelope model
 Size: 2745109 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/50bcbe58-bdbb-4937-aa83-0b983a7ff64d/resource/cbd5e811-0e38-45ed-b00e-fe7a86ed88db/download/species_environmental_calibrationevaluation.csv
 Description: This spreadsheet provides the data used to calibrate and evaluate the bioclimatic envelope models (SDMs) for our 16 target tree species. For copyright reasons the geographic coordinates of the points have been removed and only relevant information in the environmental space is provided.
description: Resource Title: Bioclimatic predictors used for future projections
 Size: 4002741 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/50bcbe58-bdbb-4937-aa83-0b983a7ff64d/resource/dcd9614c-30b0-4d36-ab09-2196b3b0ef7c/download/predictors.zip
 Description: The seven bioclimatic predictors (mean annual temperature, minimum temperature of the coldest month, temperature of the driest quarter, annual sum of precipitation, sum of precipitation of the driest quarter, slope and topographic position (concave-convex) used for correlative SDMs in Scherrer et al. 2020. Data for climate is available for both current (1981-2010) and future (2020-49, 2045-74,2070-99).
description: Resource Title: Bioclimatic data for TreeMig
 Size: 577449363 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/50bcbe58-bdbb-4937-aa83-0b983a7ff64d/resource/e2a4c17d-2b94-4d5e-8b3d-85c670b94285/download/treemig_bioclim_1500-2500.zip
 Description: Bioclimatic input data used for the TreeMig models in Scherrer et al. 2020. Data spans the whole simulation period of 1500 until 2500 and covers three different climate change scenarios.