Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data.

ABSTRACT: This research aims to establish the possible habitat suitability of Heracleum sosnowskyi (HS), one of the most aggressive invasive plants, in current and future climate conditions across the territory of the European part of Russia. We utilised a species distribution modelling framework using publicly available data of plant occurrence collected in citizen science projects (CSP). Climatic variables and soil characteristics were considered to follow possible dependencies with environmental factors. We applied Random Forest to classify the study area. We addressed the problem of sampling bias in CSP data by optimising the sampling size and implementing a spatial cross-validation scheme. According to the Random Forest model built on the finally selected data shape, more than half of the studi

SUBMITTER: Koldasbayeva D 

PROVIDER: S-EPMC9005721 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature