14 research outputs found
Caractérisation de la Biomasse sèche des mosaïques forêt-savane des plateaux Okouma et Bagombé au sud-est du Gabon
No full textObjectif : Quantifier la biomasse sèche de savanes et du sous-bois en forêts dans la mosaïques forêtsavane au Sud-est du Gabon (Okouma et Bagombé).Méthodologie et résultats : La méthode destructive a été utilisée pour l’acquisition des données. En effet, elle a consisté à identifier, mesurer l’aide d’un pied à coulisse et peser les différents arbustes dans une parcelle de 25m2.Pour les arbustes dont les diamètres sont compris entre 1 et 5cm, ont été sectionnés, mesurés et pesés .Les aliquotes prélevés sur chaque échantillon ont permis d’estimer la biomasse en laboratoire .Ainsi, l’analyse statistique réalisée sur ces données a montré que la productivité moyenne de biomasse sèche est beaucoup plus importante en savane (35466760kg/ha) qu’en sous-bois (3442996kg/ha). Par ailleurs, la comparaison statistique «ANNOVA» entre la biomasse sèche produite dans les différents biotopes anthropisés montre que la productivité moyenne de biomasse sèche n’est pas différente d’un biotope à un autre, et afin une estimation des gains perçus par la vente des stockes de carbone dans le cadre du programme REDD a été simulée sur une aire de 3700haConclusion and application : Ce travail a permis de quantifier les stocks de carbone en savane et dans les sous-bois des mosaïque-forêt-savane. Ces travaux sont également d’intérêt capital pour les gouvernants à la fois dans la mise en oeuvre des politiques de réductions des émissions des gaz à effet des serres et d’un impact économique notamment dans le cadre du programme REDD.Mots clés: Carbone, Biomasse sèche, Gabon, savanes, forêt, changement climatiqu
Les Loranthaceae : un atout pour l’essor de la pharmacopée traditionnelle au Cameroun
No full textLa famille des Loranthaceae est largement distribuée dans les zones tropicales en Afrique, Amérique, Asie, Australie et s’étend en zones tempérées. Les Loranthaceae appartiennent à l’ordre des Santalales. Danscette famille sont reconnus 950 espèces et 77 genres. Au Cameroun 26 espèces distribuées dans 7 genres sont citées. L’objectif de ce travail est d’évaluer, l’impact des Loranthaceae dans la pharmacopée traditionnelle des paysans. A travers un questionnaire sémi-structuré, 150 tradipraticiens en activité ont été interviewés en 2008 à Logbessou (quartier périphérique de la ville de Douala). Les réponses de l’enquête mise sur pied révèlent des informations selon lesquelles, les Loranthaceae sont des plantes parasites connues pour les dégâts considérables, occasionnés sur les essences ligneuses sauvages ou cultivées. Cependant, leur intérêt pour lapharmacopée traditionnelle est attesté. Les Loranthaceae fortifient le métabolisme et se présentent comme une panacée. Toutefois, l’ingestion des pseudobaies provoque des vomissements, de l’hypotension et des troubles nerveux. Les parties du végétal utilisées dans le traitement sont les feuilles, les rameaux et la tige sous forme d’extraits aqueux. Les allergies sévères sont rares. Le mode d’action des extraits aqueux des Loranthaceae européennes aux niveaux cellulaire et moléculaire est discuté. Keywords: Loranthaceae, plantes parasites, dégâts, pharmacopée traditionnelle
Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures
No full textWhen ordinating plots of tropical rain forests using stand-level structural attributes such as biomass, basal area and the number of trees in different size classes, two patterns often emerge: a gradient from poorly to highly stocked plots and high positive correlations between biomass, basal area and the number of large trees. These patterns are inherited from the demographics (growth, mortality and recruitment) and size allometry of trees and tend to obscure other patterns, such as site differences among plots, that would be more informative for inferring ecological processes. Using data from 133 rain forest plots at nine sites for which site differences are known, we aimed to filter out these patterns in forest structural attributes to unveil a hidden pattern. Using a null model framework, we generated the anticipated pattern inherited from individual allometric patterns. We then evaluated deviations between the data (observations) and predictions of the null model. Ordination of the deviations revealed site differences that were not evident in the ordination of observations. These sites differences could be related to different histories of large-scale forest disturbance. By filtering out patterns inherited from individuals, our model analysis provides more information on ecological processes
Author Correction: Native diversity buffers against severity of non-native tree invasions.
No full textCorrection to: Nature Published online 23 August 2023 In the version of the article initially published, Stanislaw Miscicki’s name incorrectly appeared as Miscicki Stanislaw. Additionally, the affiliation for Thomas T. Ibanez has been updated to “AMAP, University of Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France”, and the second affiliation for Sharif A. Mukul has been updated to “Department of Environment and Development Studies, United International University, Dhaka, Bangladesh”. The corrections have been made to the HTML and PDF versions of the article
Positive Biodiversity–Productivity Relationship Predominant in Global Forests
No full textThe biodiversity–productivity relationship (BPR) is foundational to our understanding of the global extinction crisis and its impacts on ecosystem functioning. Understanding BPR is critical for the accurate valuation and effective conservation of biodiversity. Using ground-sourced data from 777,126 permanent plots, spanning 44 countries and most terrestrial biomes, we reveal a globally consistent positive concave-down BPR, whereby a continued biodiversity loss would result in an accelerating decline in forest productivity worldwide. The value of biodiversity in
maintaining forest productivity—US$396–579 billion per year according to our estimation—is by itself over five times greater than the total cost of effective global conservation. This highlights the need for a worldwide re-assessment of biodiversity values, forest management strategies, and conservation priorities
Effect of climate on traits of dominant and rare tree species in the world’s forests
No full textSpecies’ traits and environmental conditions determine the abundance of tree species across the globe. The extent to which traits of dominant and rare tree species differ remains untested across a broad environmental range, limiting our understanding of how species traits and the environment shape forest functional composition. We use a global dataset of tree composition of >22,000 forest plots and 11 traits of 1663 tree species to ask how locally dominant and rare species differ in their trait values, and how these differences are driven by climatic gradients in temperature and water availability in forest biomes across the globe. We find three consistent trait differences between locally dominant and rare species across all biomes; dominant species are taller, have softer wood and higher loading on the multivariate stem strategy axis (related to narrow tracheids and thick bark). The difference between traits of dominant and rare species is more strongly driven by temperature compared to water availability, as temperature might affect a larger number of traits. Therefore, climate change driven global temperature rise may have a strong effect on trait differences between dominant and rare tree species and may lead to changes in species abundances and therefore strong community reassembly
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Native diversity buffers against severity of non-native tree invasions.
No full textDetermining the drivers of non-native plant invasions is critical for managing native ecosystems and limiting the spread of invasive species1,2. Tree invasions in particular have been relatively overlooked, even though they have the potential to transform ecosystems and economies3,4. Here, leveraging global tree databases5-7, we explore how the phylogenetic and functional diversity of native tree communities, human pressure and the environment influence the establishment of non-native tree species and the subsequent invasion severity. We find that anthropogenic factors are key to predicting whether a location is invaded, but that invasion severity is underpinned by native diversity, with higher diversity predicting lower invasion severity. Temperature and precipitation emerge as strong predictors of invasion strategy, with non-native species invading successfully when they are similar to the native community in cold or dry extremes. Yet, despite the influence of these ecological forces in determining invasion strategy, we find evidence that these patterns can be obscured by human activity, with lower ecological signal in areas with higher proximity to shipping ports. Our global perspective of non-native tree invasion highlights that human drivers influence non-native tree presence, and that native phylogenetic and functional diversity have a critical role in the establishment and spread of subsequent invasions
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Integrated global assessment of the natural forest carbon potential.
No full textForests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system1. Remote-sensing estimates to quantify carbon losses from global forests2-5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced6 and satellite-derived approaches2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151-363 Gt) in areas with low human footprint. Most (61%, 139 Gt C) of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot be a substitute for emissions reductions, our results support the idea2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets
The global biogeography of tree leaf form and habit.
No full textUnderstanding what controls global leaf type variation in trees is crucial for comprehending their role in terrestrial ecosystems, including carbon, water and nutrient dynamics. Yet our understanding of the factors influencing forest leaf types remains incomplete, leaving us uncertain about the global proportions of needle-leaved, broadleaved, evergreen and deciduous trees. To address these gaps, we conducted a global, ground-sourced assessment of forest leaf-type variation by integrating forest inventory data with comprehensive leaf form (broadleaf vs needle-leaf) and habit (evergreen vs deciduous) records. We found that global variation in leaf habit is primarily driven by isothermality and soil characteristics, while leaf form is predominantly driven by temperature. Given these relationships, we estimate that 38% of global tree individuals are needle-leaved evergreen, 29% are broadleaved evergreen, 27% are broadleaved deciduous and 5% are needle-leaved deciduous. The aboveground biomass distribution among these tree types is approximately 21% (126.4 Gt), 54% (335.7 Gt), 22% (136.2 Gt) and 3% (18.7 Gt), respectively. We further project that, depending on future emissions pathways, 17-34% of forested areas will experience climate conditions by the end of the century that currently support a different forest type, highlighting the intensification of climatic stress on existing forests. By quantifying the distribution of tree leaf types and their corresponding biomass, and identifying regions where climate change will exert greatest pressure on current leaf types, our results can help improve predictions of future terrestrial ecosystem functioning and carbon cycling
The global distribution and drivers of wood density and their impact on forest carbon stocks
No full textThe density of wood is a key indicator of the carbon investment strategies of trees, impacting productivity and carbon storage. Despite its importance, the global variation in wood density and its environmental controls remain poorly understood, preventing accurate predictions of global forest carbon stocks. Here we analyse information from 1.1 million forest inventory plots alongside wood density data from 10,703 tree species to create a spatially explicit understanding of the global wood density distribution and its drivers. Our findings reveal a pronounced latitudinal gradient, with wood in tropical forests being up to 30% denser than that in boreal forests. In both angiosperms and gymnosperms, hydrothermal conditions represented by annual mean temperature and soil moisture emerged as the primary factors influencing the variation in wood density globally. This indicates similar environmental filters and evolutionary adaptations among distinct plant groups, underscoring the essential role of abiotic factors in determining wood density in forest ecosystems. Additionally, our study highlights the prominent role of disturbance, such as human modification and fire risk, in influencing wood density at more local scales. Factoring in the spatial variation of wood density notably changes the estimates of forest carbon stocks, leading to differences of up to 21% within biomes. Therefore, our research contributes to a deeper understanding of terrestrial biomass distribution and how environmental changes and disturbances impact forest ecosystems
