Deforestation is one of the major threats to the climate and vital habitats for humans and animals. Forest Foresight, the new intelligent system developed by the World Wildlife Fund (WWF), can predict illegal logging. Wageningen University & Research is working on making the system even smarter, and the initial results in Gabon (Africa) are promising.

Expert reaction for journalists

Namens het hele Nature Today-team wensen we u heel veel natuur toe in 2024. We staan klaar om net als in 2023 heel veel interessante natuurberichten van de tientallen partners over actuele ontwikkelingen in de natuur te publiceren. We zijn net als jullie benieuwd naar welke nieuwe soorten ontdekt gaan worden, waarom er van sommige soorten weinig of juist opeens heel veel zijn en ga zo maar door.

Groene waterstof maken uit zeewater en tegelijkertijd schoon drinkwater en elektriciteit. En uit datzelfde zeewater bovendien waardevolle mineralen als lithium en tafelzout filteren. Onderzoekers van de Wageningen University & Research (WUR) laten met de Zeewaterstof-methode (SeaHydrogen) zien dat het kan. “Op deze manier houden we de waterstofeconomie milieuvriendelijk en haalbaar.”

Here we share the player version of the EscapeBLOOM, a dummy version showcasing the techniques to create a similar digital escape room, and the anonymized data of the quantitative survey as presented in the publication 'A serious game approach for lake modeling and management: the EscapeBLOOM'. Anyone is free to play or adjust the game for their own educational purposes. The dummy and supplementary material of the publication 'A serious game approach for lake modeling and management: The EscapeBLOOM' https://doi.org/10.1016/j.envsoft.2024.105941 together provide guides on how to create a new game from the start and may help to adjust the existing game. The data of the survey was used for the analysis of perceived learning in the publication 'A serious game approach for lake modeling and management: the EscapeBLOOM'.

Original data and code for the study: Wei, J., Xu, F., Cole, E. F., Sheldon, B. C., de Boer, W. F., Wielstra, B., Fu, H., Gong, P., & Si, Y. (2024, Accepted). Spatially heterogeneous shifts in vegetation phenology induced by climate change threaten the integrity of the avian migration network. Global Change Biology. The dataset mainly contains data showing the climate change-induced heterogeneous shifts in vegetation phenology and the migration integrity change from 2000 to 2020 for 16 Asian herbivorous waterfowl species. These data were derived from the following resources available in the public domain. The Global Lakes and Wetlands Database is available from “https://www.worldwildlife.org/pages/global-lakes-and-wetlands-database”. The global land cover datasets are available from European Space Agency (ESA) Climate Change Initiative (CCI) products, “https://maps.elie.ucl.ac.be/CCI/viewer/download.php”. The Global Multi-resolution Terrain Elevation Data are available from “https://www.usgs.gov/centers/eros/science/terrain-monitoring-and-modeling”. The Moderate Resolution Imaging Spectroradiometer (MODIS) Terra surface reflectance product is available from “https://modis.gsfc.nasa.gov/data/dataprod/mod09.php”. The bird distribution maps are available from Birdlife International, “https://www.birdlife.org/”. The bird foraging attribute data are available from EltonTraits 1.0, “https://figshare.com”. The bird occurrence data are available from eBird Basic Dataset (EBD), “https://science.ebird.org/en/use-ebird-data/download-ebird-data-products”. The Hackett backbone phylogenetic trees are available from “https://birdtree.org/”. The code contains the R scripts and MATLAB scripts that we used for this study. For details please see the file “Readme.txt”, and the research paper.