In the last decade, machine learning algorithms have demonstrated their superior performance in spatial interpolation of environmental properties compared to classical interpolation models. In particular, the random forest (RF) ensemble model has provided the best fit. In different artificial intelligence applications, the extremely random forest (...
Background and aims Root biomass is one of the most widely used parameters to characterise root growth and belowground carbon stock. Our aim was to define a standard method to estimate the root biomass of young and adult oil palm trees in commercial plantations. Methods Three methods based on the sampling excavation volume were compared using the s...
Water yield (WY) in the Upper Brahmaputra River (UBR) basin is important for sustaining the ecological environment in the headstream region and supplying valuable freshwater resources downstream. While recent studies indicated the presence of warming and greening trends in the region, the effects of these changes on WY are not yet understood. Here,...
Published in Carbon Balance and Management
BackgroundMangrove forests have gained recognition for their potential role in climate change mitigation due to carbon sequestration in live trees, and carbon storage in the sediments trapped by mangrove tree roots and pneumatophores. Africa hosts about 19% of the world’s mangroves, yet relatively few studies have examined the carbon stocks of Afri...
status: published
status: published
Published in BMC Bioinformatics
BackgroundRandom forest based variable importance measures have become popular tools for assessing the contributions of the predictor variables in a fitted random forest. In this article we reconsider a frequently used variable importance measure, the Conditional Permutation Importance (CPI). We argue and illustrate that the CPI corresponds to a mo...
BACKGROUND: Random forest based variable importance measures have become popular tools for assessing the contributions of the predictor variables in a fitted random forest. In this article we reconsider a frequently used variable importance measure, the Conditional Permutation Importance (CPI). We argue and illustrate that the CPI corresponds to a ...
Published in Scientific Reports
Sustainable land-use management must account for the potential trade-offs between biodiversity conservation, productive land uses and ecosystem services. In this study, we used Marxan with Zones to generate land use plans that optimize conservation, farming and forestry land uses to reach biodiversity targets while minimizing the opportunity cost f...
In order to foster the potential of exclosures to sequester carbon, it is understood that they are increasingly assisted through enrichment planting. To study the impact of the enrichment planting on carbon sequestration process, five exclosures with enrichment planting and five pure naturally regenerated exclosures were selected. Along parallel tr...
