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18 results for “ecosystem properties”
Baltimore Ecosystem Study: Physical, chemical and biological properties of forest and home lawn soils
Abstract: One-meter soil cores were taken to evaluate soil texture, bulk density, carbon and nitrogen pools, microbial biomass carbon and nitrogen content, microbial respiration, potential net nitrogen mineralization, potential net nitrification and inorganic nitrogen pools in 32 residential home lawns that differed by previous land use and age, but had similar soil types. These were compared to soils from 8 forested reference sites. Purpose: Soil cores were obtained from residential and forest sites in the Baltimore, MD USA metropolitan area. The residential sites were mostly within the Gwynns Falls Watershed (-76.012008W, -77.314183E, 39.724847N, 38.708367S and approximately 17 km2) Lawns on residential sites were dominated by a variety of cool season turfgrasses. Forest soil cores were taken from permanent forest plots of the Baltimore Ecosystem Study (BES) LTER (Groffman et al. 2006). These remnant forests are over 100 years old with soils that were comparable in type and texture to those underlying the residential study sites. Soils from all sites were from the Manor series (coarse-loamy, micaceous, mesic Typic Dystrudepts), which are well-drained upland soils with loamy textures and bedrock at 5 to 10 feet below the soil surface. To aid the site selection process we used neighborhoods in the Baltimore City metropolitan area that have been mapped using HERCULES, a high resolution land cover classification system designed to assist in the study of human-ecological systems (Cadenasso et al. 2007). Using HERCULES and additional data sources, we identified residential sites that were similar except for single factors that we hypothesized to be important predictors of ecosystem dynamics. These factors included land use history (agriculture and forest, n = 10 and n = 22), housing density (low and medium/high, n = 9 and n = 23), and housing age (4 to 58 yrs old, n = 32). Housing age was acquired from the Maryland Property View database. Prior land use was determined b
Field survey and long-term measurements of biological, geomorphic, and hydrologic properties across ecosystem states in a non-tidal, salinizing peat marsh in Everglades National Park, Florida, USA, June 2018 - ongoing
This dataset package details a field survey and long-term measurements of biological, geomorphic, and hydrologic properties across ecosystem states found within a salinizing, non-tidal peat marsh in the coastal Everglades. There are four datasets included: FCE1250_Lamb_AltStableState_HydroGeo includes point measurements of soil surface elevation, bedrock elevation, soil depth, water depth, and porewater salinity across ecosystem states: emergent marsh (sawgrass dominated), submerged marsh (submerged aquatic vegetation), and unvegetated open water. The survey was conducted between November 2019 to January 2020. FCE1250_Lamb_AltStableState_Bio contains plot-scale (1 m^2) biological measurements from emergent marsh (sawgrass). Biological measurements (total sawgrass, average individual sawgrass biomass, and total sawgrass aboveground biomass), are inherently plot-level but geomorphic and hydrologic measurements were averaged (n = 3) for each plot. Standard deviations are provided. FCE1250_Lamb_AltStableState_Bio_LongTerm contains biological plot-scale (1 m^2) measurements at a bi-monthly timestep from Nov 2019 - July 2022 from a subset of plots (n = 9) included in the FCE_1250_Lamb_AltStableState_Bio dataset. Each bi-monthly measurement is the average value across all 9 nine plots. Standard deviations are also included. FCE_1250_Lamb_AltStableState_SETMH contains long-term measurements of soil surface elevation change and vertical accretion from surface elevation change and marker horizon plots from June 2018 - May 2023. Average and standard errors across all plots are included as well as measurements from each plot. Also included is the cumulative number of dry days based on the average soil surface elevation for all plots. Data collection for all datasets is complete, except for FCE_1250_Lamb_AltStableState_SETMH. SET-MH measurements are still ongoing.
Network properties data and code used in "Ecological plasticity governs ecosystem services in multilayer networks".
<p>Code and network properties data used in the analyses presented in "Ecological plasticity governs ecosystem services in multilayer networks". Further information can be requested of the author David A. Bohan (David.Bohan@inrae.fr).</p>
LAGOS-NE – Lake nutrient chemistry and geospatial data to measure spatial structure of ecosystem properties in a 17-state region of the U.S.
This dataset includes data for the lake water quality and geospatial variables that describe climate, hydrology, land use land cover, and lake characteristics that were used to study spatial structure in lake properties at the sub-continental scales (Lapierre et al. Quantifying spatial structure to improve understanding of the relationships between climate, landscape, and lake ecosystem properties, to be submitted to Ecology). All observations came from LAGOS-NELIMNO v. 1.054.1 and LAGOS-NEGEO v. 1.03 (LAke multi-scaled GeOSpatial and temporal database), an integrated database of lake ecosystems (Soranno et al. 2015). LAGOS-NE contains a complete census of lakes great than or equal to 4 ha with corresponding geospatial information for a 17-state region of the U.S., and a subset of the lakes has observational data on morphometry and chemistry. Approximately 54 different sources of data were compiled for the LAGOS-NELIMNO v. 1.054.1 dataset and were mostly generated by government agencies (state, federal, tribal) and universities. In this analysis, we compiled lake water quality data from the summer stratified season (June 15-September 15) in the most recent 10 years of data included in LAGOS-NELIMNO v. 1.054.1 (2002-2011). We report the median total nitrogen, total phosphorus, secchi depth, and chlorophyll values for each lake, which was calculated as the grand median of each yearly median value. We also include data for lake and landscape characteristics including variables related to lake morphometry, climate, hydrology, atmospheric deposition, land use and land cover.
PSC01 Exploring effects on stream ecosystem properties by two size classes of prairie stream cyprinids
Losses in freshwater fish diversity might produce a loss in important ecological services provided by fishes in particular habitats. An important gap in our understanding of ecosystem services by fishes is the influence of individuals from different size classes, which is predicted based on known ontogenetic shifts in habitat and diet. I used twenty experimental stream mesocosms located on Konza Prairie Biological Station (KPBS), KS, USA to assess the influence of fish size on ecosystem properties. Mesocosms included two macrohabitats: one riffle upstream from one pool filled with consistent pebble and gravel substrate. There were four experimental and one control treatment, each replicated four times (N = 20). I used two size classes of Central Stonerollers (Campostoma anomalum) and Southern Redbelly Dace (Chrosomus erythrogaster). Five ecosystem properties were assessed: algal filament length (cm), benthic chlorophyll a (µg/cm2), benthic organic matter (g/m2), macroinvertebrate biomass (g/m2), and stream metabolism (g O2/m2/day1). Size structure of fish populations affected some, but not all, ecosystem properties and these effects were dependent upon species identity. Size structure of both species had effects on algal filament lengths where stonerollers of both size classes reduced algal filaments, but only small redbelly dace kept filaments short. A better understanding of the relationship between these prairie stream minnows and their small stream habitats could be useful to both predict changes in stream properties if species are lost or size structure shifts, and to redbelly dace populations, a Species In Need of Conservation.
Plant silicon content as a proxy for understanding plant community properties and ecosystem structure
<p>Main dataset from the paper entitled "Plant silicon content as a proxy for understanding plant community properties and ecosystem structure".</p>
Effects of plant traits and ecosystem properties on wave attenuation and soil carbon content
<p><span>Understanding</span><span> the</span><span> relationships among the environment, species traits and ecosystem properties is important </span><span>for developing</span><span> management measures </span><span>that optimize</span><span> the delivery of ecosystem services (</span><span>ESs</span><span>). Here, we identify the most important relationships responsible for the delivery of two key </span><span>ESs</span><span> provided by tidal marshes: (1) nature-based shoreline protection through wave attenuation and (2) mitigation of climate change through soil carbon storage. In two tidal zones below and above the mean high water (MHW, Elbe Estuary, Germany) level, we measured environmental parameters, such as soil salinity and inundation, as well as plant traits representing adaptations to hydrodynamic stress and strongly influencing decomposition rates.</span></p> <p><span>Multiple linear regression</span> <span>results showed that wave attenuation rates were positively related to aboveground community biomass and stem bending resistance, and soil organic carbon was positively related to stem-specific density (below the MHW level). In the tidal zone above the MHW level, soil carbon density was governed by inundation duration and decomposition rates.</span></p> <p><span>Our study highlights that (1) ES</span> <span>delivery is not equally spread across tidal marshes and (2) ecosystem management should stimulate the development and persistence of habitat diversity (here</span><span>,</span><span> low and high marsh zones)</span> <span>to maximize ES delivery potential. Securing the delivery of the two studied ESs under climate change will depend on providing suitable (</span><span>landward</span><span>) space to sustain the functioning of the two marsh zones. In the studied marshes, these services are highly dependent on a few species (i.e., wave attenuation on <em>Schoenoplectus tabernaemontani</em> and <em>Bolboschoenus maritimus</em> and carbon storage on <em>Phragmites australis</em>)</span><span>,</span><span> and as such</span><span>,</span><span> current and future ESs strongly depend on specific species' responses to changing environmental conditions.</span></p>
Effects of plant traits and ecosystem properties on wave attenuation and soil carbon content
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Data covering Q10 and soil physicochemical properties of China's forest ecosystems
<p><span>Data including experiment description, site geographic location, climate variables, initial edaphic variables, and factors related to substrate quality, substrate availability, and microbial properties both before and after the treatments.</span></p>
Spatio-temporal dynamics of abiotic and biotic properties explain biodiversity-ecosystem functioning relationships
<p>There is increasing evidence that spatial and temporal dynamics of biodiversity and ecosystem functions play an essential role in biodiversity-ecosystem functioning (BEF) relationships. Despite the known importance of soil processes for forest ecosystems, belowground functions in response to tree diversity and spatio-temporal dynamics of ecological processes and conditions remain poorly described. We propose a novel conceptual framework integrating spatio-temporal dynamics in BEF relationships and hypothesized a positive tree species richness effect on soil ecosystem functions through the spatial and temporal stability of biotic and abiotic soil properties based on species complementarity and asynchrony. We tested this framework within a long-term tree diversity experiment in Central Germany by assessing soil ecosystem functions (soil microbial properties and litter decomposition) and abiotic variables (soil moisture and surface temperature) for two consecutive years in high spatial and temporal resolution. Tree species richness and identity had significant effects on soil properties (e.g., soil microbial biomass). Structural equation modeling revealed that overall soil microbial biomass was partly explained by (a) enhanced temporal stability of soil surface temperature and (b) decreased spatial stability of soil microbial biomass. Overall, spatial stability of soil microbial properties was positively correlated with their temporal stability. These results suggest that spatio-temporal dynamics are indeed crucial determinants in BEF relationships and highlight the importance of vegetation-induced microclimatic conditions for stable provisioning of soil ecosystem functions and services.</p>
Simulation results for "Modeling the joint effects of vegetation characteristics and soil properties on ecosystem dynamics in a Panama tropical forest"
<p>This dataset is the ELM-FATES simulation outputs for the paper entitled "Modeling the joint effects of vegetation characteristics and soil properties on ecosystem dynamics in a Panama tropical forest". </p>
Spatio-temporal dynamics of abiotic and biotic properties explain biodiversity-ecosystem functioning relationships
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Data from: Changes in ecosystem properties after postfire management strategies in wildfire affected areas
<p>1. Forest are highly vulnerable to global change drivers, such as an increase in wildfire events. Learning more about how and why different postfire management strategies regulate the ability of forest ecosystem properties (e.g., plant diversity and function) to simultaneously recover after wildfire and provide multiple ecosystem functions is of critical importance.</p> <p>2. This study aims to evaluate how unburned, burned managed and burned unmanaged plots regulate the responses of multiple forest ecosystem properties (e.g., plant diversity, nutrient cycling, soil carbon stocks, water regulation, and decomposition and wood production) and overall multifunctionality to wildfires. In September 2017, we selected two postfire management strategies in a 3 km2 watershed previously affected by a wildfire in July 2012: contour-felled log debris (CFD), log erosion barriers area (LEB), and also unburned and unmanaged plots (BNA). We randomly distributed 12 plots among the three postfire management strategies (3 plots per treatment) and unburned.</p> <p>3. The results showed that multiple forest ecosystem properties were significantly affected by wildfire and that specific postfire management treatment (e.g., LEB and CFD) can be used to efficiently support plant diversity and ecosystem functioning. Our results revealed that the general indicators of ecosystem functions decreased in Mediterranean forests after wildfires and postfire management strategies (LEB and CFD) significantly helped to recover the ecosystems' short-term community-level properties and ecosystem functions (5 years after a wildfire event) to prefire levels. </p> <p>4. Synthesis and applications: These findings demonstrate that multiple ecosystem functions are affected by wildfires in Mediterranean forests and show that postfire management treatments can promote multifunctionality and plant diversity. Our results unfold the potential of LEB and CFD as effective strategies for recovering community-level properties and forest functions in the short term.</p>
Supplementary material 1 from: Dang NA, Jackson BM, Tomscha SA, Lilburne L, Burkhard K, Tran DD, Phi LH, Benavidez R (2022) Guidelines and a supporting toolbox for parameterising key soil hydraulic properties in hydrological studies and broader integrated modelling. One Ecosystem 7: e76410. https://doi.org/10.3897/oneeco.7.e76410
Supplementary Material S1
Supplementary material 2 from: Dang NA, Jackson BM, Tomscha SA, Lilburne L, Burkhard K, Tran DD, Phi LH, Benavidez R (2022) Guidelines and a supporting toolbox for parameterising key soil hydraulic properties in hydrological studies and broader integrated modelling. One Ecosystem 7: e76410. https://doi.org/10.3897/oneeco.7.e76410
Supplementary Material S2
Data from: Changes in ecosystem properties after postfire management strategies in wildfire affected areas
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Hierarchical Bayesian scaling of soil properties across urban, agricultural, and desert ecosystems in central Arizona-Phoenix
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Lantana camara L. (Verbenaceae) invasion effects on soil physicochemical properties in Ethiopian highland plateau ecosystems
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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.