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  • 2020-2024  (4)
  • 1
    Publication Date: 2024-04-20
    Description: This dataset comprises a compilation of soil bulk delta-15-N nitrogen isotopic composition that has been measured and/or published since the compilation of d15N data by Craine et al. (2015; doi:10.1007/s11104-015-2542-1; doi:10.1038/srep08280). The data was measured by the data owner / contact indicated in the dataset. All data remains the property of the listed owner but may be used for non-commercial purposes. In the case of significant use of this data for scientific research, please cite this dataset as well as the associated publication(s) and consider contacting data owners to offer co-authorship where relevant. Project: Identifying drivers of N2O emissions in a changing climate (https://www.oecd.org/agriculture/crp/fellowships/). Award: OECD Cooperative Research Program for Sustainable Agricultural and Food Systems (OECD-CRP) grant.
    Keywords: isotope; Soil nitrogen
    Type: Dataset
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  • 2
    Publication Date: 2024-03-19
    Description: Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land \nuse and climate have considerably reduced the scale of this system1 \n. Remote-sensing \nestimates to quantify carbon losses from global forests2\xe2\x80\x935 \n are characterized by \nconsiderable uncertainty and we lack a comprehensive ground-sourced evaluation to \nbenchmark these estimates. Here we combine several ground-sourced6 \n and satellitederived approaches2,7,8 \n to evaluate the scale of the global forest carbon potential \noutside agricultural and urban lands. Despite regional variation, the predictions \ndemonstrated remarkable consistency at a global scale, with only a 12% diference \nbetween the ground-sourced and satellite-derived estimates. At present, global forest \ncarbon storage is markedly under the natural potential, with a total defcit of 226\xe2\x80\x89Gt \n(model range\xe2\x80\x89=\xe2\x80\x89151\xe2\x80\x93363\xe2\x80\x89Gt) in areas with low human footprint. Most (61%, 139\xe2\x80\x89Gt\xe2\x80\x89C) \nof this potential is in areas with existing forests, in which ecosystem protection can \nallow forests to recover to maturity. The remaining 39% (87\xe2\x80\x89Gt\xe2\x80\x89C) of potential lies in \nregions in which forests have been removed or fragmented. Although forests cannot \nbe a substitute for emissions reductions, our results support the idea2,3,9 \n that the \nconservation, restoration and sustainable management of diverse forests ofer \nvaluable contributions to meeting global climate and biodiversity targets.
    Keywords: Multidisciplinary
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 3
    Publication Date: 2024-03-06
    Description: Understanding what controls global leaf type variation in trees is crucial for \ncomprehending their role in terrestrial ecosystems, including carbon, water \nand nutrient dynamics. Yet our understanding of the factors infuencing \nforest leaf types remains incomplete, leaving us uncertain about the global \nproportions of needle-leaved, broadleaved, evergreen and deciduous \ntrees. To address these gaps, we conducted a global, ground-sourced \nassessment of forest leaf-type variation by integrating forest inventory \ndata with comprehensive leaf form (broadleaf vs needle-leaf) and habit \n(evergreen vs deciduous) records. We found that global variation in leaf \nhabit is primarily driven by isothermality and soil characteristics, while leaf \nform is predominantly driven by temperature. Given these relationships, \nwe estimate that 38% of global tree individuals are needle-leaved evergreen, \n29% are broadleaved evergreen, 27% are broadleaved deciduous and \n5% are needle-leaved deciduous. The aboveground biomass distribution \namong these tree types is approximately 21% (126.4\xe2\x80\x89Gt), 54% (335.7\xe2\x80\x89Gt), 22% \n(136.2\xe2\x80\x89Gt) and 3% (18.7\xe2\x80\x89Gt), respectively. We further project that, depending \non future emissions pathways, 17\xe2\x80\x9334% of forested areas will experience \nclimate conditions by the end of the century that currently support a \ndiferent forest type, highlighting the intensifcation of climatic stress on \nexisting forests. By quantifying the distribution of tree leaf types and their \ncorresponding biomass, and identifying regions where climate change will \nexert greatest pressure on current leaf types, our results can help improve \npredictions of future terrestrial ecosystem functioning and carbon cycling.
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 4
    Publication Date: 2024-04-13
    Description: Trees structure the Earth's most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations1-6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth's 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world's most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees.
    Keywords: Multidisciplinary ; ABUNDANCE DISTRIBUTIONS ; ALPHA-DIVERSITY ; PLANT DIVERSITY ; FORESTS ; BIOMASS
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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