8 research outputs found

    Global patterns of vascular plant alpha diversity

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    Global patterns of regional (gamma) plant diversity are relatively well known, but whether these patterns hold for local communities, and the dependence on spatial grain, remain controversial. Using data on 170,272 georeferenced local plant assemblages, we created global maps of alpha diversity (local species richness) for vascular plants at three different spatial grains, for forests and non-forests. We show that alpha diversity is consistently high across grains in some regions (for example, Andean-Amazonian foothills), but regional 'scaling anomalies' (deviations from the positive correlation) exist elsewhere, particularly in Eurasian temperate forests with disproportionally higher fine-grained richness and many African tropical forests with disproportionally higher coarse-grained richness. The influence of different climatic, topographic and biogeographical variables on alpha diversity also varies across grains. Our multi-grain maps return a nuanced understanding of vascular plant biodiversity patterns that complements classic maps of biodiversity hotspots and will improve predictions of global change effects on biodiversity

    Multiple drivers of tree and soil carbon stock in the tropical forest ecosystems of Bangladesh

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    Tropical forest ecosystem act as a carbon sink and plays a vital role in climate change mitigation. The carbon storage capacity of tropical forest ecosystems is declining gradually in recent years. But studies regarding the multiple drivers of tree and soil carbon in the tropical forest ecosystems are scarce. Our study aims to quantify the tree and soil carbon storage capacity and to explore how these carbon storages are associated with both biotic (stand structure, anthropogenic disturbance) and abiotic drivers (climate, topography, and soil) simultaneously in tropical forest ecosystems. The present study was conducted in two forest-protected areas of Bangladesh, namely- Satchari National Park (SNP), and Khadimnagar National Park (KNP). Results showed that tree carbon stock was 72.9 t ha−1 and 58.2 t ha−1 in SNP and KNP, respectively. Besides, soil carbon was 77.1 t ha−1 in SNP and 130.5 t ha−1 in KNP. We found that tree carbon was positively correlated with all stand structure parameters. However, soil carbon was negatively correlated with tree richness, height, and basal area. Anthropogenic disturbance had a negative correlation with tree carbon and a positive correlation with soil carbon stock. No significant correlation was observed between tree carbon and local climatic parameters. But soil carbon had a positive correlation with annual precipitation and a negative correlation with annual mean temperature. Furthermore, tree carbon was positively associated with elevation and slope whereas soil carbon was negatively associated with elevation. Tree carbon was negatively correlated with silt% but positively with sand%. Conversely, soil carbon showed significant positive associations with soil moisture, bulk density, soil pH, and soil silt%. Our study provides a comprehensive insight on the understandings of key drivers of tree and soil carbon storage in the tropical forest ecosystem of Bangladesh. We concluded that anthropogenic disturbance and stand characteristics regulate tree carbon stock while soil carbon is mainly associated with local climate and soil properties in the studied tropical forest ecosystems

    Data from: Species richness effects on grassland recovery from drought depend on community productivity in a multisite experiment

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    Biodiversity can buffer ecosystem functioning against extreme climatic events, but few experiments have explicitly tested this. Here, we present the first multisite biodiversity × drought manipulation experiment to examine drought resistance and recovery at five temperate and Mediterranean grassland sites. Aboveground biomass production declined by 30% due to experimental drought (standardised local extremity by rainfall exclusion for 72–98 consecutive days). Species richness did not affect resistance but promoted recovery. Recovery was only positively affected by species richness in low-productive communities, with most diverse communities even showing overcompensation. This positive diversity effect could be linked to asynchrony of species responses. Our results suggest that a more context-dependent view considering the nature of the climatic disturbance as well as the productivity of the studied system will help identify under which circumstances biodiversity promotes drought resistance or recovery. Stability of biomass production can generally be expected to decrease with biodiversity loss and climate change

    Invader presence disrupts the stabilizing effect of species richness in plant community recovery after drought

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    Abstract Higher biodiversity can stabilize the productivity and functioning of grassland communities when subjected to extreme climatic events. The positive biodiversity–stability relationship emerges via increased resistance and/or recovery to these events. However, invader presence might disrupt this diversity–stability relationship by altering biotic interactions. Investigating such disruptions is important given that invasion by non‐native species and extreme climatic events are expected to increase in the future due to anthropogenic pressure. Here we present one of the first multisite invader × biodiversity × drought manipulation experiment to examine combined effects of biodiversity and invasion on drought resistance and recovery at three semi‐natural grassland sites across Europe. The stability of biomass production to an extreme drought manipulation (100% rainfall reduction; BE: 88 days, BG: 85 days, DE: 76 days) was quantified in field mesocosms with a richness gradient of 1, 3, and 6 species and three invasion treatments (no invader, Lupinus polyphyllus, Senecio inaequidens). Our results suggest that biodiversity stabilized community productivity by increasing the ability of native species to recover from extreme drought events. However, invader presence turned the positive and stabilizing effects of diversity on native species recovery into a neutral relationship. This effect was independent of the two invader's own capacity to recover from an extreme drought event. In summary, we found that invader presence may disrupt how native community interactions lead to stability of ecosystems in response to extreme climatic events. Consequently, the interaction of three global change drivers, climate extremes, diversity decline, and invasive species, may exacerbate their effects on ecosystem functioning

    Traits of dominant plant species drive normalized difference vegetation index in grasslands globally

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    Theoretical, experimental and observational studies have shown that biodiversity–ecosystem functioning (BEF) relationships are influenced by functional community structure through two mutually non-exclusive mechanisms: (1) the dominance effect (which relates to the traits of the dominant species); and (2) the niche partitioning effect [which relates to functional diversity (FD)]. Although both mechanisms have been studied in plant communities and experiments at small spatial extents, it remains unclear whether evidence from small-extent case studies translates into a generalizable macroecological pattern. Here, we evaluate dominance and niche partitioning effects simultaneously in grassland systems world-wide. Location: Two thousand nine hundred and forty-one grassland plots globally. Time period: 2000–2014. Major taxa studied: Vascular plants. Methods: We obtained plot-based data on functional community structure from the global vegetation plot database “sPlot”, which combines species composition with plant trait data from the “TRY” database. We used data on the community-weighted mean (CWM) and FD for 18 ecologically relevant plant traits. As an indicator of primary productivity, we extracted the satellite-derived normalized difference vegetation index (NDVI) from MODIS. Using generalized additive models and deviation partitioning, we estimated the contributions of trait CWM and FD to the variation in annual maximum NDVI, while controlling for climatic variables and spatial structure. Results: Grassland communities dominated by relatively tall species with acquisitive traits had higher NDVI values, suggesting the prevalence of dominance effects for BEF relationships. We found no support for niche partitioning for the functional traits analysed, because NDVI remained unaffected by FD. Most of the predictive power of traits was shared by climatic predictors and spatial coordinates. This highlights the importance of community assembly processes for BEF relationships in natural communities. Main conclusions: Our analysis provides empirical evidence that plant functional community structure and global patterns in primary productivity are linked through the resource economics and size traits of the dominant species. This is an important test of the hypotheses underlying BEF relationships at the global scale
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