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87 results for “plant species composition”
Supplementary material 1 from: Baum S, Weih M, Bolte A (2012) Stand age characteristics and soil properties affect species composition of vascular plants in short rotation coppice plantations. BioRisk 7: 51-71. https://doi.org/10.3897/biorisk.7.2699
Number of plots containing the respective species is stated.
Figure 2. Species area curve obtained from 264 in Composition and structure of plant communities in the Moist Temperate Forest Ecosystem of the Hindukush Mountains, Pakistan
Figure 2. Species area curve obtained from 264 plant species in Lalkoo valley.
Data from: Spatial heterogeneity in species composition constrains plant community responses to herbivory and fertilization
Environmental change can result in substantial shifts in community composition. The associated immigration and extinction events are likely constrained by the spatial distribution of species. Still, studies on environmental change typically quantify biotic responses at single spatial (time series within a single plot) or temporal (spatial beta-diversity at single time points) scales, ignoring their potential interdependence. Here, we use data from a global network of grassland experiments to determine how turnover responses to two major forms of environmental change – fertilization and herbivore loss – are affected by species pool size and spatial compositional heterogeneity. Fertilization led to higher rates of local extinction whereas turnover in herbivore exclusion plots was driven by species replacement. Overall, sites with more spatially heterogeneous composition showed significantly higher rates of annual turnover, independent of species pool size and treatment. Taking into account spatial biodiversity aspects will therefore improve our understanding of consequences of global and anthropogenic change on community dynamics.
Beyond species richness and community composition: Using plant functional diversity to measure restoration success in jarrah forest
<p>Aim: The importance of restoring ecosystem functions to native systems that have been degraded, damaged or destroyed is increasingly recognised. Yet few studies have measured the effect of restoration efforts on ecosystem functioning or the functional diversity (FD) that underpins it. Here we assessed change in FD of restored assemblages one to 25 years after the onset of post-mine restoration.</p> <p>Location: Northern Jarrah (<i>Eucalyptus marginata</i> Donn ex Sm.) Forest bioregion of south-western Australia.</p> <p>Methods: Functional richness, evenness, divergence and dispersion were derived from five plant functional traits relevant to community reassembly. Effects of three explanatory variables (i.e., age, year restoration was initiated, and time since fire) on six response variables (i.e., four FD indices, species richness, and compositional similarity to nearby reference forest) were analysed using linear mixed models for a dataset with repeated measures of plots through time (n= 810 plots), and linear models for a sub-set of one-time measures of different aged assemblages (i.e., space-for-time approach; n= 490 plots).</p> <p>Results: Functional evenness and functional dispersion increased with age, while functional divergence and functional richness decreased with age. Functional dispersion increased with time since fire, while functional richness decreased with time since fire. Species richness decreased with age, but at 25-years, species richness was comparable to that observed in reference forest. In contrast, similarity showed no relationship with age of restored forest, and at 25-years, similarity of restored forest to reference was low compared with similarity of reference forest to itself. Three of four FD indices had not reached those of reference jarrah forest 25-years after restoration had been initiated.</p> <p>Conclusions: Reassembly of FD suggests importance of environmental filtering and high functional redundancy. A longer time frame may be needed to assess FD of restored assemblages, and in the meantime, species richness is not an adequate surrogate of FD.</p>
Experimental extensification of mountain grasslands restores plant species richness but not species composition in the mid-term
<ol> <li><span>The traditional grasslands that characterize the cultural landscapes of the palaeartic mountain massifs represent biodiversity hotspots. Yet, they are currently threatened by the intensification of farming practices, notably excesses in fertilization and irrigation.</span></li> <li><span>We experimentally investigated the passive restoration of montane and subalpine hay meadows after six years of management intensification, with different levels of fertilization and irrigation, followed by five years of release of intensive management, i.e. extensification. More specifically, relying on a full randomized block-design replicated at 11 Swiss study sites constituted of extensively-managed meadows, we exposed during six years (2010-2015) four 20 m diameter plots to three levels of intensification (low, medium and high inputs), while a fourth plot served as a control (no inputs). In the second phase of the experiment (2016-2020), all study meadows underwent farming extensification.</span></li> <li><span>We monitored total species richness and plant diversity (Simpson diversity), indicator plant species as well as the composition and variability of the plant communities based on Bray-Curtis dissimilarity distances.</span></li> <li><span>We found that total species richness decreased in the most intensified plots after six years of intensification, but all plots retrieved their baseline species richness after five years of re-extensification. Additionally, we<span> found no difference between the years in plant diversity (Simpson diversity) among the treatments.</span><span> Yet, intensification led to different plants communities' compositions in all three levels of intensification in 2015 compared to the extensive plots, and this structural difference remained after five years of re-extensification.</span></span></li> <li><span><span><span>Synthesis and applications.</span> <span>Land-use intensification induces a rapid impoverishment of the flora of mountain meadows. Our results demonstrate the potential of mountain hay meadows to passively restore plant species richness after </span><span>re-extensification</span><span>, however </span><span>plants communities did not fully recover. We recommend maintaining fertilization inputs as low as possible and operating active restoration on grasslands formerly intensified.</span></span></span></li> </ol>
The data table of eleven invasive species in Hungary and Romania: Invasive species' cover, invasive species' traits, basic characteristics, trait composition, functional diversity indices and soil parameters of recipient plant communities
<p>We studied 11 widespread herbaceous invasive alien species of East-Central Europe and their 16 impact metrics (resident plant communities' ecological characteristics, trait composition, functional diversity, and soil parameters) by sampling invaded and similar, uninvaded sites (space-for-time substitution method). Our aim was to (1) investigate the detailed ecological impacts of invasive plants on native plant communities; (2) explore the type of cover-impact relationships across impact metrics and their consistency across species; (3) study whether the cover-impact relationship depends on functional traits of invasive species. We present the data table with the 11 invasive species: the status of the sites (invaded, uninvaded), the cover of invasive species at plot level, the invasive species traits (lifespan, height, SLA, seed mass, clonal spread, flowering duration), community characteristics (species richness and diversity, native vegetation cover and bare ground cover at plot level), trait composition of native plant communities (native vegetation height, CWM height, CWM SLA, CWM seed mass, CWM clonal spread), functional diversity (functional richness, functional evenness, functional divergence, functional distance, RaoQ) and soil properties (N, P, organic C, pH).</p>
Effects of three-dimensional soil heterogeneity and species composition on plant biomass and biomass allocation of grass-mixtures
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Beyond species richness and community composition: Using plant functional diversity to measure restoration success in jarrah forest
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Plant species composition and key-species abundance drive ecosystem multifunctionality
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Data from: Drivers of plant community composition and species richness in Western Greenland
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Data from: Spatial heterogeneity in species composition constrains plant community responses to herbivory and fertilization
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The data table of eleven invasive species in Hungary and Romania: Invasive species' cover, invasive species' traits, basic characteristics, trait composition, functional diversity indices and soil parameters of recipient plant communities
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Experimental extensification of mountain grasslands restores plant species richness but not species composition in the mid-term
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Data from: Between-year changes in community composition shape species' roles in an Arctic plant-pollinator network
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Data from: Interactions between seed-dispersing ant species affect plant community composition in field mesocosms
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Changing plant species composition and richness benefit soil carbon sequestration under climate warming
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Data from: Plant composition and species use in agroforestry homegardens in the Eastern Amazon, Brazil
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Chronic browsing by an introduced mammalian herbivore in a tropical island alters species composition and functional traits of forest understory plant communities
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The effect of species composition dissimilarity on plant-herbivore network structure is not consistent over time
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TeRaCON eight years data - species composition, productivity (NPP), soil carbon emissions and plant carbon stocks:BioCON: Biodiversity, CO2, and Nitrogen
BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affe
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Allen Brain Atlas
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.