Reproducible WiSDM: a workflow for reproducible invasive alien species risk maps under climate change scenarios using standardized open data

作者：Amy J.S. Davis, Quentin Groom, Tim Adriaens, Sonia Vanderhoeven, Rozemien De Troch, Damiano Oldoni, Peter Desmet, Lien Reyserhove, Luc Lens, Diederik Strubbe · 发表于：Frontiers in Ecology and Evolution · 年份：2024 · DOI：10.3389/fevo.2024.1148895 · 被引用次数：13 · 研究领域：Species Distribution and Climate Change、Ecology and Vegetation Dynamics Studies、Forest Insect Ecology and Management

Introduction Species distribution models (SDMs) are often used to produce risk maps to guide conservation management and decision-making with regard to invasive alien species (IAS). However, gathering and harmonizing the required species occurrence and other spatial data, as well as identifying and coding a robust modeling framework for reproducible SDMs, requires expertise in both ecological data science and statistics. Methods We developed WiSDM, a semi-automated workflow to democratize the creation of open, reproducible, transparent, invasive alien species risk maps. To facilitate the production of IAS risk maps using WiSDM, we harmonized and openly published climate and land cover data to a 1 km 2 resolution with coverage for Europe. Our workflow mitigates spatial sampling bias, identifies highly correlated predictors, creates ensemble models to predict risk, and quantifies spatial autocorrelation. In addition, we present a novel application for assessing the transferability of the model by quantifying and visualizing the confidence of its predictions. All modeling steps, parameters, evaluation statistics, and other outputs are also automatically generated and are saved in a R markdown notebook file. Results Our workflow requires minimal input from the user to generate reproducible maps at 1 km 2 resolution for standard Intergovernmental Panel on Climate Change (IPCC) greenhouse gas emission representative concentration pathway (RCP) scenarios. The confidence associated w...