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161 results for “Production function”
Annual Aboveground Net Primary Productivity by plant functional groups across grassland-shrubland ecotones at 3 sites in the Jornada Basin, 2006-ongoing
The objective of this ongoing study is to investigate how pulses of precipitation translate into pulses of plant aboveground net primary productivity (NPP) across grassland to shrubland ecotones in the northern Chihuahuan Desert. This dataset consists of annual aboveground net primary productivity estimates by plant functional groups in three habitat vegetation zones (grassland, ecotone, and shrubland) at three grassland-to-shrubland ecotone sites in the Jornada Basin, Dona Ana County, New Mexico, USA. The annual ANPP estimates are derived from plant cover measurements (see methods). Due to its growth form, Yucca elata (YUEL), in the leaf succulent functional group, has been found to produce large errors in interyear biomass estimates. This data package separates biomass estimates for YUEL and non-YUEL leaf succulents so that users can decide whether to combine them or keep them separate. In general, the authors recommend against using the YUEL estimates for most purposes. Data collection is ongoing with new observations in spring and fall of each year; data from both annual sampling times are required to estimate annual ANPP.
Global leaf inclination angle (LIA) and nadir leaf projection function (G(0)) products
<p>Leaf inclination angle (LIA), the angle between leaf surface normal and zenith directions, is a vital parameter in radiative transfer, rainfall interception, evapotranspiration, photosynthesis, and hydrological processes. In the radiative transfer regime, LIA is generally represented by the leaf projection function (G(θ)), which is defined as the average projection ratio of unit leaf area in the illumination or viewing direction θ.</p> <p>This dataset (CAS-GLA) includes the first global mean LIA (MLA) and nadir leaf projection function (G(0)) products at the spatial resolutions of 500 m and 0.05 degrees. The products are recorded in GeoTIFF format under the WGS-84 geographic coordinate system. The global 500 m MLA product was generated by gap-filling LIA measurement data using a random forest regressor after a series of preprocessing, such as spatial expansion, LIA upscaling, and sample screening. Cross-validation shows that the predicted MLA presents a medium consistency (<em>r</em> = 0.75, RMSE = 7.15°) with the validation samples. The 500 m MLA product was further upscaled to 0.05 degrees by weighting the MODIS 500 m leaf area index. The G(0) product was derived from the MLA by assuming a single-parameter ellipsoidal leaf angle distribution. The G(0) product agrees moderately with high-resolution reference data (<em>r </em>= 0.62, RMSE = 0.15). Note the global MLA and G(0) products mainly represent the typical state during the growing season from 2001 to 2022. The MLA and G(0) products would enhance our knowledge about global LIA and should greatly facilitate remote sensing retrieval and land surface modeling studies.</p> <p>In the version 1.1, two quality layers were added to 500 m MLA product to represent the quality of input data and the prediction model. The input data quality was denoted by the proportion of high-quality BRDF inversions for each pixel. The prediction model quality was represented qualitatively for each pixel considering whether the MLA was predicted by extrapolating beyond the range of the training samples. In the 500 m MLA product, the three bands sequentially store MLA, input data quality (scale factor = 0.01), and model quality (1: predictions within the range of samples; 0: predictions out of the range of samples).</p>
Data, scripts, and figure of the article: The fasting heat production of broilers is a function of their body composition
<p>This data set contains the data, JMP scripts, and figures of the article titled "The fasting heat production of broilers is a function of their body composition" to be published in the journal Animal - Open Space.</p>
Data from: Riparian reforestation on the landscape scale – Navigating trade-offs among agricultural production, ecosystem functioning and biodiversity
<p> </p> <p><strong>Short description</strong></p> <p>This repository contains the relevant data and code used for the analyses of the scientific publication: "<em>Riparian reforestation on the landscape scale – Navigating trade-offs among agricultural production, ecosystem functioning and biodiversity</em>", published in the Journal of Applied Ecology.</p> <p>For further details please see the original article and its supplementary materials.</p> <p> </p> <p><strong>Organization of the data</strong></p> <p>The repository contains two main folders:</p> <p> 1. Target indicators & spatial analysis</p> <p><em>‘target indicators.csv’</em>: Measured variables that have been quantified at the CROSSLINK field sampling campaign in the Zwalm catchment (EPT taxa richness, diatoms functional evenness, cotton-strip assay).</p> <p><em>‘bio-suitability segments.csv’</em>: Biophysical suitability for food production of the arable land for each riparian segment of the Zwalm.</p> <p><em>‘spatial analysis.xlsx’</em>: Results of the Zwalm spatial analyses addressing land-use and physiographic properties of the (1) local riparian corridors; (2) full riparian corridors within in the upstream catchments and (3) total upstream catchment areas for each sampling site.</p> <p><em>‘Summary model development Zwalm.pptx’</em>: Additional information on the models that have been used in the CoMOLA optimization framework.</p> <p> 2. CoMOLA input & parameterisation</p> <p>The files in this folder can be used for the parameterisation of the Python tool CoMOLA (Strauch et al., 2019). Source for CoMOLA, including user manual: https://github.com/michstrauch/CoMOLA</p> <p><em>‘config.ini’</em>: Basic configuration file of CoMOLA (needs to be adjusted to local settings)</p> <p><em>‘input’ folder</em>: Includes the CoMOLA input files that have been used in our study. See CoMOLA manual for more details on each file.</p> <p><em>‘models’ folder</em>: Includes the Python code of the models that are used for the calculation of all target indicators within the optimization framework (‘Zwalm_4_Models_v1_utf8.py’). The sub-folders ‘GIS_temp_files’ and ‘Input’ contain all files that are needed and have been used to run the Python code.</p> <p> </p>
Data collected for: The contrasted impacts of grasshoppers on soil microbial activities in function of ecosystem productivity and herbivore diet
<p>Herbivory can have contrasted impacts on soil microbes and nutrient cycling, which has stimulated the development of conceptual frameworks exploring the links between below- and aboveground processes. The "productivity model" predicts that herbivores stimulate microbial activities and accelerate nutrient mineralization in productive ecosystems, while they have an opposite effect in less productive ecosystems. In parallel, the "diet model" predicts that herbivores feeding on conservative plants accelerate nutrient cycling while those feeding on exploitative plants decelerate nutrient cycling, due to changes in litter inputs. Since these two frameworks can lead to conflicting predictions in some cases, experimental evidence combining herbivore diet and productivity is required.</p> <p>During two consecutive years, we conducted an experiment controlling the presence of three grasshopper species consuming either grasses, forbs or both in twelve natural and managed alpine grasslands of contrasted productivities. In order to assess the effects of herbivory on soil microbes, we measured their enzymatic activities, their biomass and the soil potential nitrogen mineralization (PNM). Soil and vegetation characteristics were also determined in order to test if they modulated the effects of herbivory on microbes.</p> <p>Contrary to the predictions of the diet model, the effects of herbivory on microbial characteristics did not depend on the herbivores diet but relied on ecosystem productivity. The most productive sites were characterized by exploitative plant species which depleted N resources in the soil, and by microbes producing relatively few extracellular enzymes, leading to a lower PNM. Herbivory increased microbial biomass and decreased the production of extracellular enzymes in those sites, possibly through the stimulation of root exudates produced by exploitative species. The least productive sites were characterized by conservative plants, which led to the sequestration of soil C, and by microbes having a resource acquisition strategy (more extracellular enzymes, higher PNM). Herbivory decreased microbial biomass and increased the production of extracellular enzymes in those sites. This pattern can be explained by the loss of carbon associated with insect respiration, which increases the need for microbes to acquire resources and by a lower production of root exudates by conservative species. Therefore, the effects of two years of herbivory on soil microbes were at odds with the productivity model, which focuses instead on longer term effects corresponding to herbivory-induced changes in plant species composition. This highlights the multidimensional feature of the impacts of herbivory on ecosystem functioning, both in space and time.</p>
Derivation of plant functional type (PFT) maps from the ESA CCI Land Cover product
<p><em>This package supplements the following paper submitted to ESSD: <strong>Gross and net land cover changes of the main plant functional types derived from the annual ESA CCI land cover maps (1992-2015).</strong></em></p> <p><em>Li, W., MacBean, N., Ciais, P., Defourny, P., Lamarche, C., Bontemps, S., Houghton, R. A. and Peng, S.: Gross and net land cover changes based on plant functional types derived from the annual ESA CCI land cover maps, Earth Syst. Sci. Data Discuss., 1–23, doi:10.5194/essd-2017-74, 2017.</em></p> <p><em>This package contains the protocol of converting the original annual ESA CCI Land Cover product into plant functional types (PFTs) that can be used by land surface models and the corresponding cross-walking table.</em></p> <p><em>The original ESA LC class data and translated PFTs in 2000 as an example are attached in the .zip file. The annual ESA CCI PFT maps from 1992 to 2015 at half degree resolution are also added in a .zip file.</em></p>
Dataset: Facile functionalization of carbon electrodes for efficient electroenzymatic hydrogen production
<p>This dataset contains all of the data used to create the plots in both (i) the main article and (ii) the supporting information.</p> <p>The corresponding journal article can be found here:</p> <p><a href="https://doi.org/10.1021/jacsau.2c00551">https://doi.org/10.1021/jacsau.2c00551</a> </p>
Data collected for: The contrasted impacts of grasshoppers on soil microbial activities in function of ecosystem productivity and herbivore diet
Open the record for dataset details and reuse information.
Data from: Multiple facets of diversity effects on plant productivity: species richness, functional diversity, species identity and intraspecific competition
<p>1. Deciphering the mechanisms that drive variation in biomass production across plant communities of contrasting species composition and diversity is a main challenge of biodiversity-ecosystem functioning research. Niche complementarity and selection effect have been widely investigated to address biodiversity-productivity relationships. However, the overlooking of the specific role played by key species have limited so far our capacity to comprehensively assess the relative importance of other potential drivers of biodiversity effects.</p> <p>2. Here, we conducted a grassland diversity-productivity experiment to test how four potential facets of biodiversity effects, namely species richness, functional diversity, species identity and the relaxation of intraspecific competition, account for variations in above and root biomass production.</p> <p>3. We grew six plant species in monoculture, as well as in every combinations of two, three and six species. Plant density was kept constant across the richness gradient but we additionally grew each species in half-density monoculture to estimate the strength of intraspecific competition for each studied species. We characterized eight functional traits, including root traits, related to nutrient and light acquisition and computed both the functional dissimilarity and the community weighted mean (CWM) of each trait. We further partitioned aboveground biodiversity effect into complementarity and selection effects.</p> <p>4. We observed strong positive biodiversity effects on both aboveground and root biomass as well as strong positive complementarity effect. These arose largely from the presence of a particular species (<i>Plantago lanceolata</i>) and from CWM trait values more than from a higher functional dissimilarity in plant mixtures. <i>P. lanceolata</i> displayed the highest intraspecific competition, which was strongly relaxed in species mixtures. By contrast, the presence of <i>Sanguisorba minor</i> negatively affected the productivity of plant mixtures, this species suffering more from interspecific than intraspecific competition.</p> <p>5. This study provides strong evidences that the search for key species is critical to understand the role of species diversity on ecosystem functioning and demonstrates the major role that the balance between intraspecific and interspecific competition plays in biodiversity-ecosystem functioning relationships. Developing more integrative approaches in community and ecosystem ecology can offer opportunities to better understand the role that species diversity plays on ecosystem functioning.</p>
Data from: Functional and phylogenetic diversity explain different components of diversity effects on biomass production
<p>The Anthropocene is defined by human-driven environmental change, with one consequence being the modern dramatic decline in biodiversity globally. This is especially worrisome given the long-acknowledged causal linkage between biodiversity and ecosystem functioning and the delivery of ecosystem services. <span class="fontstyle01"><span>However, t</span></span>he exact mechanisms driving biodiversity- ecosystem function (BEF) relationships remain unclear, specifically the linkages between species differences, measured by trait and phylogenetic distances, and how interactions, such as competitive inequality and stable coexistence via niche partitioning, influence these relationships.<span class="fontstyle01"><span> Using complementary plant biodiversity experiments, a </span></span>s<span class="fontstyle01"><span>ynthetic-assembled one that combined species in different phylogenetic distance treatments with a semi- natural functional group removal experiment, we assessed how species differences influence the mechanisms underpinning BEF relationships. We </span></span>calculated the net biodiversity effect (ΔY) of biomass production and partitioned it into two additive parts: the complementarity and <span class="fontstyle01"><span>selection effect</span></span>s at species and functional group level<span class="fontstyle01"><span> to </span></span>test how <span class="fontstyle01"><span>phylogenetic diversity and functional</span></span> diversity capture the influences of the complementarity and <span class="fontstyle01"><span>selection effects.</span></span> For both experiments, we found that phylogenetic and functional diversity explained biodiversity effects through similar mechanisms, with a positive relationship with the complementarity effect, and a negative relationship with the selection effect. However, we found that the <span class="fontstyle01"><span>selection effect was </span></span>best predicted by a negative relationship with functional dispersion (FD<sub>is</sub>) of<sub> </sub>height where the selection effect was strongest in plots with similarly tall species and weakest with a greater diversity of heights, while higher <span class="fontstyle01"><span>complementary </span></span>effects <span class="fontstyle01"><span>were best explained by increasing phylogenetic diversity (i.e., high MPD<sub>a</sub>).</span></span> Our work revealed that the mechanisms underpinning biodiversity-ecosystem function relationships are dependent on species differences and how these differences influence competitive inequalities and niche differences.</p>
Data from: Resilience of seed production to a severe El Niño‐induced drought across functional groups and dispersal types
More frequent and severe El Niño Southern Oscillations (ENSO) are causing episodic periods of decreased rainfall. Although the effects of these ENSO-induced droughts on tree growth and mortality have been well studied, the impacts on other demographic rates such as reproduction are less well known. We use a four-year seed rain dataset encompassing the most severe ENSO-induced drought in more than 30 years to assess the resilience (i.e. resistance and recovery) of the seed composition and abundance of three forest types in a tropical dry forest. We found that forest types showed distinct differences in the timing, duration and intensity of drought during the ENSO event, which likely mediated seed composition shifts and resilience. Drought-deciduous species were particularly sensitive to the drought with overall poor resilience of seed production, whereby seed abundance of this functional group failed to recover to pre-drought levels even two years after the drought. Liana and wind-dispersed species were able to maintain seed production both during and after drought suggesting that ENSO events promote early successional species or species with a colonization strategy. Combined, these results suggest that ENSO-induced drought mediates the establishment of functional groups and dispersal types suited for early successional conditions with more open canopies and reduced competition among plants. The effects of the ENSO-induced drought on seed composition and abundance were still evident two years after the event suggesting the recovery of seed production requires multiple years that may lead to shifts in forest composition and structure in the long-term, with potential consequences for higher trophic levels like frugivores.
Data from: Functional traits, not productivity, predict openness to seedling recruitment in alpine plant communities under climatic warming
Understanding the degree to which plant communities are open to seedling recruitment is key to predicting how they will be impacted by climate change. We experimentally assessed whether communities assembled under colder climates were inherently more open to recruitment than warmer-climate communities, after controlling for differences in the current climate under which the communities were growing. We then tested whether variation in openness to recruitment could be explained by community biomass or by the plant functional traits of the community. The study was conducted in a climate grid of twelve grassland sites across southern Norway, differing systematically in temperature and precipitation. Along a 2000 mm precipitation gradient, we transplanted turfs with intact plant communities from alpine and sub-alpine sites into 2℃ warmer sites, and measured natural seedling emergence in these transplanted turfs vs. locally replanted control turfs at the transplant destination sites. Mixed effect models were used to assess the effect of origin (cold vs warm climate), biomass, and functional trait composition of the communities on seedling emergence. We further assessed variation in these effects across different climatic contexts (the temperature and precipitation gradients). Communities originating from colder climates were consistently more open to recruitment, with on average 44% more seedlings emerging, than the locally replanted control communities. The higher rates of seedling emergence in colder-climate communities were attributable to systematic differences in plant functional traits, but not in biomass. The colder-climate communities were composed of species with smaller leaves and lower maximum plant heights; traits that may make these communities less effective at excluding new recruits. These trait-related responses were not significant in the warmest sites and did not very across the precipitation gradient. Our results suggest that alpine species lack the competitive effect traits required to make their communities resistant to invasion by novel competitors under climate change.
Functioning of a canopy-dominated intertidal community during emersion: highly productive but heterotrophic at the annual scale - R code
<p>This repository contains the data and code for our paper:</p> <p>Claire Golléty, Jon Yearsley, Aline Migné, Dominique Davoult (2024). Functioning of a canopy-dominated intertidal community during emersion: highly productive but heterotrophic at the annual scale. Marine Biology<br>https://doi.org/10.1007/s00227-024-04395-5</p>
Data from: Phytoplankton functional composition determines limitation by nutrients and grazers across a lake productivity gradient
<p>Functional tradeoffs among ecologically important traits govern the diversity of communities and changes in species composition along environmental gradients. A tradeoff between predator defense and resource competitive ability has been invoked as a mechanism that may maintain diversity in lake phytoplankton. Tradeoffs may promote diversity in communities where grazing- and resource-limited taxa coexist, which determines the extent to which communities are resource- or consumer-controlled. In addition, changes in temperature may alter nutrient demands and grazing pressure, changing the balance between the two regulating factors. Our study aims to understand whether a tradeoff between grazer vulnerability and nutrient limitation promotes coexistence of phytoplankton functional groups in communities that differ in trophic status, and how this tradeoff may shift with warming. We conducted multifactorial experiments manipulating grazing, nutrients, and temperature in phytoplankton communities from three Dutch lakes varying in trophic status, and used a trait-based approach to classify functional groups based on grazing susceptibility. <span>We found no associations between susceptibility to grazing and response to nutrient additions in any of the communities or temperature regimes, indicating that</span> a competition-defense tradeoff is unlikely to <span>explain diversity within the tested communities. Instead, w</span>e observed a tendency towards both a higher grazing-resistance and weaker nutrient limitation <span>along with a shift in the functional composition of phytoplankton in communities across a gradient from low to high productivity.</span></p>
Nuclear excitation functions for medical isotope production: targeted radionuclide therapy via nat Ir(d, x)193mPt
<p><sup>193m</sup>Pt is a medically valuable Auger-emitting radionuclide, believed to have therapeutic potential, particularly when labeled to the chemotherapeutic drug cisplatin. One challenge to broader explorations of its clinical potential is the need for production routes with high specific activity. As part of a larger campaign to address gaps in reaction data for emerging medical radionuclides, this work seeks to characterize the <sup>nat</sup>Ir(d,x) reactions as a potential production pathway for <sup>193m</sup>Pt. A stacked target irradiation, consisting of natural iridium, iron, nickel, and copper foils, was performed using a 33 MeV deuteron beam at the Lawrence Berkeley National Laboratory 88-Inch Cyclotron. This measurement, along with previous experimental data, suggests an energy window between 11 to 18 MeV to maximize the production and radiopurity of <sup>193m</sup>Pt. This experiment has yielded cross sections for 42 reaction channels of deuteron-induced reactions from threshold to 30 MeV, including the first experimental results of <sup>nat</sup>Ir(d,x)<sup>188m1+g,190m1+g</sup>Ir (cumulative), <sup>nat</sup>Ni(d,x)<sup>56,57,58m,58g</sup>Co (independent), <sup>nat</sup>Ni(d,x)<sup>53</sup>Fe (cumulative), and <sup>nat</sup>Fe(d,x)<sup>48 V, 51 Cr</sup>(cumulative). The results were compared with literature data, the TENDL-2019 database, and default theoretical calculations from the TALYS-1.9, CoH-3.5.3, EMPIRE-3.2.3, and ALICE-2017 reaction modeling codes. This work presents another example of the lack of predictive capabilities for this set of modern nuclear-reaction modeling codes, and highlights unsatisfactory modeling in the A ≈ 190 mass region, which proved particularly difficult to model using CoH-3.5.3. Finally, this measurement has revealed weaknesses with the current evaluation of the <sup>nat</sup>Cu(d,x)<sup>63</sup>Zn deuteron monitor reaction.</p>
ER values of the targeted by-products as a function of their metallogenic family. The bold text highlights the most relevant metal association regarding the selected metallogenic families.
<p>This dataset is table 3 from the article "Predictive assessment of metallogenic signatures using the DataBase Querying (DBQ) method: A European application by Blandine Gourcerol *, Guillaume Bertrand, Laurent Bailly, Pauline Moreau, Isabelle Duhamel-Achin, Maxime Picault, Philippe Négrel</p> <p>DOI : https://doi.org/10.1016/j.gexplo.2022.106966</p>
Data from: The functional diversity–productivity relationship of woody plants is climatically sensitive
<p><span>Plot-scale experiments show that functional diversity (FD) plays a pivotal role in maintaining ecosystem functions such as net primary productivity (NPP). However, how FD affects NPP across larger scales under varying climatic conditions is sparsely studied, yet is important for forest–atmosphere interactions and policy development. </span></p> <p><span>Hence, we assess the effects of functional dispersion (FDis) and community-weighted means (CWMs) of woody plant traits on NPP across China and if such effects are modulated by climatic conditions at large scale. Using comprehensive datasets on distribution, functional traits and productivity for 9120 Chinese woody plant species, we evaluated the distribution pattern and the relationships of FDis and CWM (including three orthogonal trait indicators: plant size, photosynthetic capacity and flower duration) with NPP through multiple linear regression models. Structural equation models were used to test the effects of climatic conditions on FDis/CWM–NPP relationships.</span></p> <p><span>We found both general FD effects, but also that the magnitude of these could be modified by climate, with CWM and FDis of plant size especially promoting NPP in warm and wet regions, respectively. Climate indirectly increased NPP through positive effects on CWM or FDis, notably via mean photosynthetic capacity.</span></p> <p><span>This study provides the first comprehensive evidence for FD effects on NPP under varying climates at large scale. Importantly, our results suggest a general increase in the importance of plant traits for woody vegetation NPP with rising temperatures and wetter climates. Restoration and reforestation actions need to carefully consider not just CWMs and FDis, but, as an additional path, also their interactions with climate, to predict how FD may promote ecosystem functioning under future climatic conditions.</span></p>
Data from: High environmental stress and productivity increase functional diversity along a deep-sea hydrothermal vent gradient
<p>Productivity and environmental stress are major drivers of multiple biodiversity facets and faunal community structure. Little is known on their interacting effects on early community assembly processes in the deep sea (>200 m), the largest environment on Earth. However, at hydrothermal vents productivity correlates, at least partially, with environmental stress. Here, we studied the colonization of rock substrata deployed along a deep-sea hydrothermal vent gradient at four sites with and without direct influence of vent fluids at 1700 m depth in the Lucky Strike vent field (Mid-Atlantic Ridge, MAR). We examined in detail the composition of faunal communities (>20 m) established after two years and evaluated species and functional patterns. We expected the stressful hydrothermal activity to (1) limit functional diversity and (2) filter for traits clustering functionally similar species. However, our observations did not support our hypotheses. On the contrary, our results show that hydrothermal activity enhanced functional diversity. Moreover, despite high species diversity, environmental conditions at surrounding sites appear to filter for specific traits, thereby reducing functional richness. In fact, diversity in ecological functions may relax the effect of competition allowing several species to coexist in high densities in the reduced space of the highly-productive vent habitats under direct fluid emissions. We suggest that the high productivity at fluid-influenced sites supports higher functional diversity and traits that are more energetically expensive. The presence of exclusive species and functional entities led to a high turnover between surrounding sites. As a result, some of these sites contributed more than expected to the total species and functional β-diversities. The observed faunal overlap and energy links (exported productivity) suggest that rather than operating as separate entities, habitats with and without influence of hydrothermal fluids may be considered as interconnected entities. Low functional richness and environmental filtering suggests that surrounding areas, with their very heterogeneous species and functional assemblages, may be especially vulnerable to environmental changes related to natural and anthropogenic impacts, including deep-sea mining.</p>
Functionally distinct tree species support long-term productivity in extreme environments
<p>Dataset used for the article "Functionally distinct tree species support long-term productivity in extreme environments", submitted to <em>Proceedings of the Royal society B</em>. Contains raw output of simulations performed with the ForCEEPS forest gap model (http://capsis.cirad.fr/capsis/help_en/forceeps). For a description of the simulations performed and the dataset, see the associated GitHub (https://github.com/LDelalandre/Project-1_Distinct-sp_BEF) and the article.</p> <p>Simulations are grouped in 11 folders corresponding to the 11 environmental conditions used for simulating community dynamics. Subfolders group outputs by species richness gradients (30 random orders, plus "decreasing" order, which is from the most functionally distinct to the least functioonally distinct species, and "increasing, which is the other way around, and monocultures).</p> <p>For each species richness level (from 1: all the species, to 30, the last species of the richness gradient), four different files were generated:</p> <p>- biomass data: 'complete' (every individual); 'mean' (aggregated at the community level each year);</p> <p>- productivity data: productivity (every individual); productitity_scene (aggregated at the species level each year).</p>
Both diversity and functional composition affect productivity and water use efficiency in experimental temperate grasslands
<p>Many experiments have shown that biodiversity promotes ecosystem functioning and stability and that this relationship varies with resource availability. However, we still have a poor understanding of the underlying physiological and ecological mechanisms driving diversity effects and how they may interact with soil nutrient availability.</p> <p>We collected data in a grassland experiment factorially manipulating fertilization, species richness, functional composition (slow-growing <i>vs</i>. fast-growing species), and functional diversity in resource economic traits. We measured aboveground productivity, nitrogen (N) uptake, photosynthesis, and water use efficiency by combining a <sup>15</sup>N labelling approach with productivity, gas exchange, and stable isotope measurements in three years differing in rainfall.</p> <p>We found that sown species richness increased aboveground productivity, N uptake and photosynthesis, suggesting that species richness is the most important driver of ecosystem productivity and nutrient cycling. Similarly, photosynthesis was affected by functional composition but not by functional diversity. Water use efficiency was reduced by sown species richness for communities dominated by slow growing species but not for communities dominated by fast growing species. Fertilization increased productivity, N uptake and water use efficiency. The positive effects of high species richness on ecosystem functions were independent of fertility levels.</p> <p><i>Synthesis</i>. Our results provide evidence that high species richness in temperate grasslands could enhance productivity and reduce the negative impacts of drought events. Multiple factors and community characteristics are important in driving enhanced ecosystem functioning in biodiverse grasslands and seem to affect functioning and stability through different mechanisms.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.
International Brain Laboratory public data
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.