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52 results for “Ecosystem multifunctionality”
Ecosystem service-multifunctionality in the European transboundary cooperation area EUREGIO
<p>Ecosystem Service-multifunctionality (ES-multifunctionality) is defined as the capacity of ecosystems to supply multiple services within the same spatial unit. The present datasets contain the results of an ES-multifunctionality assessment across a case study region in the eastern European Alps, including the two Italian Autonomous provinces of Trentino and South Tyrol and the Austrian federal state of Tyrol (EUREGIO). ES-multifunctionality was calculated using two diversity indices originating from biodiversity studies: α- and β-diversity. α-multifunctionality is defined as the diversity of ES supplied in terms of ES richness and abundance and accounts for service evenness, favoring a balanced supply of ES. β-multifunctionality is defined as the unique ES contribution of spatial units (e.g., ecosystems, landscape) to ES-multifunctionality at bigger spatial scales (e.g., region). A landscape is considered unique when it supplies specific ES at a higher level compared to other sites in the region.</p> <p>By using 11 ES indicators (carbon sequestration, filtration of surface water, forest protection, lifecycle maintenance, gene pool protection, land use integrity and quality, fuelwood production, grassland production, outdoor recreation, symbolic species, foraging practices), we measured the diversity of ES supplied (i.e., α-multifunctionality) at the patch (100 m pixel resolution) and landscape scale (using the municipality boundaries as landscape units, Local Administrative Level 2). β-multifunctionality was calculated at the landscape scale as the average ES abundance-based dissimilarities between landscape units.</p> <p>The datasets include:</p> <ol> <li>a .tiff raster file containing the records of α-multifunctionality at the patch scale at the pixel resolution of 100 m across the study area.</li> <li>a .csv spreadsheet containing the records of α- and β-multifunctionality at the Local Administrative Level 2 across the study area.</li> </ol> <p> </p>
GCEF 2014-2023 Ecosystem Multifunctionality Data
<div>This dataset comprises data from the Global Change Experimental Facility (GCEF) (https://doi.org/10.1002/ecs2.2635).</div> <div>The data was obtained between 2014 and 2023.</div> <div>Martin Schädler (martin.schaedler@ufz.de) is the scientific coordinator of the GCEF.</div> <div>Martin Schädler and Harald Auge (harald.auge@ufz.de) designed the GCEF.</div> <div>Martin Schädler, Thomas Reitz, Rui Yin, Harald Auge, Ines Merbach, Christiane Roscher, Stan Harpole, Evgenia Blagodatskaya, Julia Siebert, Marcel Ciobanu, and Nico Eisenhauer collected the data.</div> <div>Friedrich Scherzinger (friedrich.scherzinger@idiv.de) compiled the dataset.</div> <div>Some columns in the dataset are empty as they are placeholders for numerical data that will be filled during the data analysis process. They are left empty in the initial dataset to accommodate the subsequent analysis and to maintain the structure of the dataset.</div> <div>For more information on how the data was obtained and on the context of its collection, please refer to Scherzinger et al. (2023). <em>Sustainable land management enhances ecological and economic multifunctionality under ambient and future climate</em> (pre-print).</div> <div> </div> <div><strong>Abbreviations used in the dataset:</strong></div> <div>LUT - land use type</div> <div>EM - extensive meadow</div> <div>EP - extensive pasture</div> <div>IM - intensive meadow</div> <div>CF - conventional farming</div> <div>OF - organic farming</div> <div>Climate - climate treatment</div> <div>amb - ambient</div> <div>fut - future</div> <div>Yield - yield (€ / ha / yr)</div> <div>TOC - total organic soil carbon (%) - data owners: Thomas Reitz, Evgenia Blagodatskaya</div> <div>Nmin_Surplus - nitrogen surplus (g / m²)</div> <div>Mic_Bio - microbial biomass (mg / kg soil) - data owner: Thomas Reitz</div> <div>CEL - cellulase activity (nmol / h / g soil) - data owner: Thomas Reitz</div> <div>NAG - N-acetylglucosaminidase activity (nmol / h / g soil) - data owner: Thomas Reitz</div> <div>PHO - acid phosphatase activity (nmol / h / g soil) - data owner: Thomas Reitz</div> <div>Decomp_Below - belowground decomposition rate (bait lamina) - data owner: Julia Siebert</div> <div>Decomp_Above_Fine - aboveground decomposition rate (microbes) (K value) - data owner: Rui Yin</div> <div>Decomp_Above_Coarse - aboveground decomposition rate (microbes + fauna) (K value) - data owner: Rui Yin</div> <div>Biodiv_Meso - soil mesofauna diversity (Shannon-Index) - data owner: Rui Yin</div> <div>Biodiv_Macro - soil macrofauna diversity (Shannon-Index) - data owner: Rui Yin</div> <div>Biodiv_Nematode - soil nematode diversity (Shannon-Index) - data owner: Julia Siebert</div> <div>Percentage_FlowCov - flower cover (%) - data owner: Martin Schädler </div> <div>DM_grains_machine - machine harvest yield total dry mass grains OF & CF (dt / ha) - data owners: Martin Schädler, Ines Merbach</div> <div>DM_straw_machine - machine harvest yield total dry mass grains OF & CF (dt / ha) - data owners: Martin Schädler, Ines Merbach</div> <div>DM_total_machine - machine harvest yield EM, EP & IM (dt / ha) - data owners: Martin Schädler, Ines Merbach</div> <div>DM_total_manual - manual harvest yield EM, EP & IM (dt / ha) - data owners: Martin Schädler, Ines Merbach, Harald Auge</div> <div>Nmin_Fertiliser_g_p_m2 - amount of mineral nitrogen fertiliser applied (g / m²)</div> <div>Nmin_Conc_mg_p_kg - soil mineral nitrogen content (mg Nmin / kg soil) - data owner: Thomas Reitz</div> <div>Nmin_Conc_g_p_m2 - mineral nitrogen content (g Nmin / m²)</div> <div>Nmin_Deprivation_Harvest_g_m2 - mineral nitrogen deprivation through harvest (g Nmin / m²) - data owners: Christiane Roscher, Stan Harpole</div>
Maps of ecosystem multifunctionality and ecological connectivity for identifying Green Infrastructure networks in the European Alps
<p>High resolution raster datasets (20 meters) containing the results of an ecological connectivity and an ecosystem multifunctionality assessment for identifying Green Infrastructure networks in 10 pilot regions of the European Alps, modelled as part of the LUIGI Interreg Alpine Space project. Pilot regions include: department of Isère (FR), departments of Savoie and Haute-Savoie (FR), Munich Metropolitan Region (DE), Central Area of Salzburg (AT), South Burgenland (AT), Goriška region (SI), South Tyrol (IT), canton of Grisons (CH), Metropolitan City of Milan (IT), and Metropolitan City of Turin (IT). For a preview of the data and the results available for each pilot region <a href="https://www.alpine-space.org/projects/luigi/en/project-results/d.t1.2.1-pilot-regions-policy-briefs">click here</a></p> <p>Further information on the LUIGI project is available at: <a href="https://www.alpine-space.org/projects/luigi/en/home">https://www.alpine-space.org/projects/luigi/en/home</a></p> <p><a href="https://webassets.eurac.edu/31538/1661510408-luigi-wp1-technical-annex-mapping-a-green-infrastructure-network-in-the-alpine-space.pdf">https://webassets.eurac.edu/31538/1661510408-luigi-wp1-technical-annex-mapping-a-green-infrastructure-network-in-the-alpine-space.pdf </a></p> <p>The datasets include:</p> <ul> <li>a map for ecosystem service-based multifunctionality calculated out of the average of 11 standardized ecosystem service indicators: water provision, crop potential, timber production, fodder provision, pollination potential, carbon sequestration, nitrogen retention, natural hazard mitigation, runoff retention, outdoor recreation, and landscape aesthetics.</li> <li>a map of the modelled Ecological Network composed of core areas and ecological corridors. Corridors are modelled for medium-large forest mammal species and represent least-cost pathways connecting core areas. Different classes indicate areas with different levels of current ecological connectivity starting from core areas to areas in cities or anthropized land with no connectivity. Modeled corridors are presented in two classes to mirror different levels of prioritization and management actions.</li> <li>a map of the resistance of the landscape to the movement of forest mammal species. The landscape resistance raster has been developed by reclassifying and aggregating a high resolution (5m) land use and land cover map. Resistance values have been determined in relation to the naturalness of different land use and land cover classes. In this context, land use or landscape resistance is intended as the opposite of habitat suitability.</li> </ul>
Changes in salt marsh detritivore identity influences on ecosystem multifunctionality
<p>Ecosystems world-wide experience changes in species composition in response to natural and anthropogenic changes in environmental conditions. Research to date has greatly improved our understanding of how species affect focal ecosystem functions. However, because measurements of multiple ecosystem functions have not been consistently justified for any given trophic group, it is unclear whether interpretations of research syntheses adequately reflect the contributions of consumers to ecosystems. Using model communities assembled in experimental microcosms, we examined the relationship between four numerically dominant detritivore species and six ecosystem functions that underpin fundamental aspects of carbon and nitrogen cycling above- and below-ground. We tested whether ecosystem responses to changes in detritivore identity depended upon species trait dissimilarity, food web compartment (aboveground, belowground, mixed), or number of responses considered (one to six). We found little influence of detritivore species identity on brown (i.e. soil-based) processes. Only one of four detritivore species uniquely influenced decomposition, and detritivore species did not vary in their influence on soil nitrogen pools (NO<sub>3</sub><sup>-</sup> and NH<sub>4</sub><sup>+</sup>), or root biomass. However, changes in detritivore identity influenced multiple aboveground ecosystem functions. That is, by serving as prey, ecosystem engineers, and occasionally also as herbivores as well as detritivores, these species altered the strength of aboveground predator-herbivore interactions and plant-shoot biomass. Yet, dissimilarity of detritivore functional traits was not associated with dissimilarity of ecosystem functioning. These results serve as an important reminder that consumers influence ecosystem processes via multiple energy channels and that food web interactions set important context for consumer-mediated effects on multiple ecosystem functions. Given that species are being lost, gained, and redistributed at unprecedented rates, we can anticipate that changes in species identity will have additional ecosystem consequences beyond those predicted by species' primary functional role.</p>
Changes in salt marsh detritivore identity influences on ecosystem multifunctionality
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Plant species composition and key-species abundance drive ecosystem multifunctionality
<p><span>Global biodiversity loss has aroused great concern about the role of plant communities in driving ecosystem functions. However, there is limited understanding of how soil property, plant richness, and composition interact to affect ecosystem multifunctionality.</span></p> <p><span>We conducted a constructed-ecosystem experiment by simultaneously manipulating soil origin (i.e., fertile farmland soil and infertile bare land soil), plant richness (from one to four species) and composition (five single species, and all possible two-, three-, and four- species combinations of the five species) to evaluate their importance for driving multiple ecosystem functions related to accumulation of biomass, carbon (C) and nitrogen (N) in plants, greenhouse gas emissions, soil nutrients, soil N fixation, and mineralization of N and phosphorus (P).</span></p>
Dung beetles drive direct and indirect changes in ecosystem multifunctionality
<p>This project was funded by the Australian Department of Agriculture, Water and the Environment and Meat and Livestock Australia through Research through the Dung Beetles as Ecosystem Engineers (DBEE) research programme (2018–2022) managed by Charles Sturt University (grant agreement no: RnD4Profit-16-03-016). </p>
Tree diversity across multiple scales and environmental heterogeneity promote ecosystem multifunctionality in a large temperate forest region
<p><strong>Aim</strong>: Biodiversity across different scales provides multidimensional insurance for ecosystem functioning. Although the positive effects of local scale (α-diversity) biodiversity on ecosystem multifunctionality are widely accepted, species turnover across communities (β-diversity) which is often an important driver of ecosystem functioning did not receive the same attention. This study broadens the understanding of how multiple attributes of biodiversity maintain ecosystem multifunctionality from local to regional scales, across diverse environmental gradients.</p> <p><strong>Location</strong>: North-eastern China.</p> <p><strong>Time period</strong>: 2017.</p> <p><strong>Major taxa studied</strong>: Woody plants.</p> <p><strong>Methods</strong>: We estimate ecosystem multifunctionality using both averaging and modified multiple thresholds (50%, 70% and 90%) approaches. Multiple dimensions of biodiversity across varying spatial scales were measured within the framework of Hill‒Chao numbers. Linear and nonlinear models were used to evaluate the optimal patterns of multifunctionality and biodiversity along the latitude. Using variance decomposition, structural equation modeling and linear mixed models, we explored how multiple attributes of tree diversity at varying spatial scales affect multifunctionality, and how these relationships are modulated by environmental drivers.</p> <p><strong>Results</strong>: Our results show that multifunctionality decreased with increasing latitude, mirroring the pattern of tree diversity along latitudinal gradients. Phylogenetic β-diversity and species α-diversity emerged as crucial diversity indices for sustaining multifunctionality in these temperate forests. Soil and climatic conditions had either direct effects on multifunctionality, or indirect ones mediated by tree diversity. Environmental heterogeneity played a pivotal role in maintaining high levels of multifunctionality, exerting influence both directly and indirectly via phylogenetic β-diversity.</p> <p><strong>Main conclusions</strong>: This study underscores the positive effects of biodiversity on multifunctionality across multiple dimensions. Based on our findings, we conclude that any design of a forested landscape that is aimed at maximizing multifunctionality should consider maintaining high local diversity as well as forest community heterogeneity at varying scales.</p>
Data from: Does pH matter for ecosystem multifunctionality? An empirical test in a semi-arid grassland on the Loess Plateau
<p>Date of data collection: 2016-2018</p> <p>Geographic location of data collection: Guyuan, Ningxia, China (106°23′E, 36°15′N)</p> <p>These data were generated to (<em>i</em>) investigate the responses of soil properties, biological communities and multifunctionality to decreased soil pH; (<em>ii</em>) determine the potential biotic and abiotic pathways that soil pH may drive multifunctionality. In 2016, a 17 m × 40 m semi-arid grassland plot with an initial pH value of 8.05 and uniform vegetation was selected. The experiment was granted by the administration of Yunwu Mountain National Nature Reserve. A randomized block design was used with five treatments and six replicates per treatment. A total of 30 plots were established. All plots were 2 m × 2 m and separated by 1 m buffer zones. The treatments included five levels of acid addition rate (0, 0.23, 0.56, 3.60, and 9.01 mol H<sup>+</sup> m<sup>-2</sup>) in the form of sulphuric acid solution. In late August 2017, the plant communities achieved their peak biomass, and were surveyed and harvested in a 0.5 m × 1 m quadrat in each plot to determine the plant community diversity and estimate above-ground biomass. After harvesting the plants, six soil cores (0-15 cm deep, 2.5 cm diameter) per plot in each of the six blocks were collected and pooled by plot as a replicate for further chemical analyses.</p>
Data from: Ecosystem multifunctionality is promoted by organic farming and hedgerows at the local scale but not at the landscape scale
<p><span>This dataset gathers information used for the paper Couthouis et al. "Ecosystem multifunctionality is promoted by organic farming and hedgerows at the local scale but not at the landscape scale", part of the BIOMHE project (2019-2022) funded by the Fondation de France. It contains data about (i) species richness and abundances used for calculating ecological performance, (ii) crop yield used for calculating agronomic performance, (iii) labour and semi-net margin used for calculating socio-economic performance. Combined, these information allows for the calculation of ecosystem multifunctionaliy indices.</span></p>
Seminatural habitat surrounding farms promotes multifunctionality in avian ecosystem services
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Data from: Biodiversity of soil biota and plants stabilizes ecosystem multifunctionality with increasing number of global change factors
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Data from: Plants and soil biota co-regulate stability of ecosystem multifunctionality under multiple environmental changes
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Plant species composition and key-species abundance drive ecosystem multifunctionality
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Contrasting ecological mechanisms mediate the impact of land conversion on ecosystem multifunctionality
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Global change shifts trade-offs among ecosystem functions in woodlands restored for multifunctionality
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Tree diversity across multiple scales and environmental heterogeneity promote ecosystem multifunctionality in a large temperate forest region
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Data from: Testing the ectomycorrhizal dominance hypothesis for ecosystem multifunctionality in a subtropical mountain forest
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Data from: Livestock grazing regulates ecosystem multifunctionality in semi‐arid grassland
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Data from: Ecosystem multifunctionality is promoted by organic farming and hedgerows at the local scale but not at the landscape scale
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