Pantropical distribution of short-rotation woody plantations under current and future climate

Dataset / Software

Description

Short-rotation woody plantations (SRWPs) play a major role in climate change mitigation and adaptation plans, because of their high yields of woody biomass and fast carbon storage. However, their benefits, trade-offs and growing-success are heavily location-dependent. Therefore, spatial data on the distribution of SRWPs are indispensable for assessing current distribution, trade-offs with other uses and potential contributions to climate mitigation. As current global datasets lack reliable information on SRWPs and full global mapping is difficult, we provide a consistent and systematic approach to estimate the spatial distribution of SRWPs in (sub-)tropical biomes under current and future climate. We combined three advanced methods (maximum entropy, random forest and multinomial regression) to evaluate spatially explicit probabilities of SRWPs. As inputs served a large empirical dataset on SRWP observations and 17 predictor variables, covering biophysical and socio-economic conditions. This dataset can help adding a more nuanced treatment of mitigation options and forest management in research on biodiversity and land use change.
Date made available18 May 2023
PublisherDataverseNL
Date of data production2023
Geographical coveragepantropical global

Keywords

  • tree planting
  • forest management
  • land-based climate change mitigation
  • natural climate solutions
  • spatial probability mapping
  • land use modelling

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