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200 results for “agroecosystem”
Data from: Trade-offs in provisioning and stability of ecosystem services in agroecosystems
Changes in land use generate trade-offs in the delivery of ecosystem services in agricultural landscapes. However, we know little about how the stability of ecosystem services responds to landscape composition, and what ecological mechanisms underlie these trade-offs. Here, we develop a model to investigate the dynamics of three ecosystem services in intensively-managed agroecosystems, i.e. pollination-independent crop yield, crop pollination, and biodiversity. Our model reveals trade-offs and synergies imposed by landscape composition that affect not only the magnitude but also the stability of ecosystem service delivery. Trade-offs involving crop pollination are strongly affected by the degree to which crops depend on pollination and by their relative requirement for pollinator densities. We show conditions for crop production to increase with biodiversity and decreasing crop area, reconciling farmers' profitability and biodiversity conservation. Our results further suggest that, for pollination-dependent crops, management strategies that focus on maximising yield will often overlook its stability. Given that agriculture has become more pollination-dependent over time, it is essential to understand the mechanisms driving these trade-offs to ensure food security.
Data from: Long-term agroecosystem research in the Central Mississippi River Basin: Goodwater Creek Experimental Watershed and regional herbicide water quality data
PLEASE NOTE, THESE DATA ARE ALSO REFERRED TO IN ANOTHER PUBLICATION. PLEASE SEE http://doi.org/10.2134/jeq2013.12.0518. Goodwater Creek Experimental Watershed (GCEW) has been the focus area of a long-term effort to document the extent of and to understand the factors controlling herbicide transport. We document the datasets generated in the 20-yr-long research effort to study the transport of herbicides to surface and groundwater in the GCEW. This long-term effort was augmented with a spatially broad effort within the Central Mississippi River Basin encompassing 12 related claypan watersheds in the Salt River Basin, two cave streams on the fringe of the Central Claypan Areas in the Bonne Femme watershed, and 95 streams in northern Missouri and southern Iowa. Details of the analytical methods, periods of record, number of samples, study locations, and means of accessing these data are provided. In addition, a brief overview of significant findings is presented. A key finding was that near-surface restrictive soil layers, such as argillic horizons of smectitic mineralogy, result in greater herbicide transport than soils with high percolation and low clay content. Because of this, streams in the claypan soil watersheds of northeastern Missouri have exceptionally high herbicide concentrations and relative loads compared with other areas of the Corn Belt.
Data from: Floral resource availability from groundcover promotes bee abundance in coffee agroecosystems
Patterns of bee abundance and diversity across different spatial scales have received thorough research consideration. However, the impact of short and long term temporal resource availability on biodiversity has been less explored. This is highly relevant in tropical agricultural systems for pollinators, as many foraging periods of pollinators extend beyond flowering of any single crop species. In this study, we sought to understand how bee communities in tropical agroecosystems changed between seasons, and if short and long term floral resource availability influenced their diversity and abundance. We used a threshold analysis approach in order to explore this relationship at two time scales. This study took place in a region dominated by coffee agroecosystems in Southern Mexico. This was an ideal system because the landscape offers a range of coffee management regimes that maintain heterogeneity in floral resource availability spatially and temporally. We found that the bee community varies significantly between seasons. There were higher abundances of native social, solitary and managed honeybees during the dry season when coffee flowers. Additionally, we found that floral resources from groundcover, but not trees, were associated with bee abundance. Further, the temporal scale of the availability of these resources is important, whereby short-term floral resource availability appears particularly important in maintaining high bee abundance at sites with lower seasonal complementarity. We argue that in additional to spatial resource heterogeneity, temporal resource heterogeneity is critical in explaining bee community patterns, and should thus be considered to promote pollinator conservation.
Fig. 1 in Seasonal Carbon Emissions And Sequestration In Agroecosystems Of Organic Crops In Central Lithuania
Fig. 1. Soil respiration (Rs) in organic crops, 2014-2016 (mean±SE).
Figure 1 from: Nxele TC, Mwabvu T, Yekwayo I (2021) Earthworm species occurrence in agroecosystems in the Midlands, KwaZulu-Natal, South Africa. African Invertebrates 62(2): 411-425. https://doi.org/10.3897/afrinvertebr.62.67875
Figure 1 Sampling sites in KZN Midlands.
Data from: Floral resource availability from groundcover promotes bee abundance in coffee agroecosystems
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Data from: Trade-offs in provisioning and stability of ecosystem services in agroecosystems
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Data from: Long-term agroecosystem research in the Central Mississippi River Basin: Goodwater Creek Experimental Watershed and regional herbicide water quality data
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Table S2 for: Landscape and local factors drive pesticide distribution in perennial agroecosystems.
<p>Table S2 related to the publication:</p><p>Radek Michalko, Luboš Purchart & Ondřej Košulič. Landscape and local factors drive pesticide distribution in perennial agroecosystems. Conservation Biology, xx: xx.</p><p>The repository contains the comprehensive list of applied and detected pesticide compounds, including their metabolites detected during the study. </p><p><strong>Table caption:</strong></p><p><i><strong>Location number/type</strong></i><strong> - shows what management type was applied (IPM, organic); </strong><i><strong>Crop type/management</strong></i><strong> - shows the type of crops (vineyards, orchards); </strong><i><strong>Applied by farmers</strong></i><strong> - shows the list of pesticides used by farmers; </strong><i><strong>Pesticide type</strong></i><strong> - shows type of pesticides (e.g. herbicide, fungicide, insecticide, etc.); </strong><i><strong>Year of Application</strong></i><strong> - shows what year the respective pesticide was applied; </strong><i><strong>Detection </strong></i><strong>- shows what pesticide residues were detected in respective locality.</strong></p>
Database for: Meta-analysis of the impact of land use intensification on selected soil fauna in global agroecosystems
<p>The dataset is an aggregate of research works examining how intensification of land usage affects soil faunal populations worldwide in agroecosystems, particularly focused on nematodes, springtails, mites and enchytraeids. The dataset, which was taken from peer-reviewed articles, covers a number of topics, including the Köppen-Geiger climate classification system's description of climate features. Properties of soil, including type, texture, pH, and organic matter, are recorded. Furthermore, information is given about the experimental parameters, including replicates, sampling depth, and extraction techniques. The dataset also includes details on grazing, tillage techniques, pesticide, herbicide, and pesticide usage, fertilizer kind and rate, and days after tillage for faunal collection. For both the control and treatment locations, abundance, diversity, and the parameters that go along with it are noted.</p>
Eddy Covariance and Agronomical Meta Data Set from a Three Year Agroecosystem Site (RNG2)
<p>Dataset of soil, plant, forage, agronomical and eddy flux data from three years of commercial bioenergy feedstock production in Arkansas funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include three years of all 30 minute interval data. Full data sets will be published through Ameriflux. Some data, such as methane and nitrous oxide are embargoed.</p> <p>This work was partially funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).</p>
FIGURES 22.—25 in Complementary description of three species of Steneotarsonemus (Acari: Tarsonemidae) from rice agroecosystems of Eastern India with notes on their taxonomic status, spatial distribution, intraspecific variation and species composition
FIGURES 22.—25. Steneotarsonemus furcatus (male). 22.—leg I, 23.—leg II, 24.—leg III, 25.—leg IV.
FIGURES 2, 3 in Complementary description of three species of Steneotarsonemus (Acari: Tarsonemidae) from rice agroecosystems of Eastern India with notes on their taxonomic status, spatial distribution, intraspecific variation and species composition
FIGURES 2, 3. Steneotarsonemus spinki (female). 2. Dorsal surface. 3. Ventral surface.
Eddy Covariance and Agronomical Meta Data Set from a Three Year Agroecosystem Site (RNG1)
<p>Dataset of soil, plant, forage, agronomical and eddy flux data from three years of commercial bioenergy feedstock production in California funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include three years of all 30 minute interval data. Full data sets will be published through Ameriflux. Some data, such as methane and nitrous oxide are embargoed.</p> <p>This work was partially funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).</p>
Eddy Covariance and Agronomical Meta Data Set from a Three Year Agroecosystem Site (RNG3)
<p>Dataset of soil, plant, forage, agronomical and eddy flux data from three years of commercial bioenergy feedstock production in California funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include three years of all 30 minute interval data. Full data sets will be published through Ameriflux. Some data, such as methane and nitrous oxide are embargoed.</p> <p>This work was partially funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).</p>
Eddy Covariance and Agronomical Meta Data Set from a Three Year Agroecosystem Site (RNG4)
<p>Dataset of soil, plant, forage, agronomical and eddy flux data from three years of commercial bioenergy feedstock production in California funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include thre years of all 30 minute interval data. Full data sets will be published through Ameriflux. Some data, such as methane and nitrous oxide are embargoed.</p> <p>This work was partially funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).</p>
Eddy Covariance and Agronomical Meta Data Set from a Three Year Agroecosystem Site (RNG5)
<p>Dataset of soil, plant, forage, agronomical and eddy flux data from three years of commercial bioenergy feedstock production in Arkansas funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include three years of all 30 minute interval data. Full data sets will be published through Ameriflux. Some data, such as methane and nitrous oxide are embargoed.</p> <p>This work was partially funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).</p>
Eddy Covariance and Agronomical Meta Data Set from a Two Year Agroecosystem Site (RNG6)
<p>Dataset of soil, plant, forage, agronomical, and eddy flux data from two years of commercial bioenergy feedstock production in California funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include two years of 30-minute interval flux data. Full data sets will be published through Ameriflux. Some data, such as methane and nitrous oxide are embargoed.</p> <p>This work was partially funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).</p>
Cycles agroecosystem model weather files under nuclear winter scenarios
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Dataset of MS "Herbicide application indirectly affects plant-pollinator networks in agroecosystems non-crop areas"
<p>Using an agent-based model, we compared three herbicide application programs across a gradient from higher to lower sustainability to predict their indirect effects on plant and pollinator communities. The three scenarios were based on different application programs, linked to cultural practices such as crop rotation, and designed for a full rotation cycle. The model was parameterized considering both the inherent probability of each plant species and the inherent and agronomic risk of herbicide resistance development. To represent these traits, we used a combination of eight different parameters: plant family, life cycle, seed persistence, dispersal type, number of resistant biotypes, mode of action group (MoA group), number of applications, and agronomic risk (i.e., management practices). The last three parameters correspond to the proposed application programs. The dataset used to parameterize our model is shared in the file. The parameter values for the model were established based on a literature review. The set of plant species and their proportions were constructed based on data collected from various surveys conducted in the central region of Buenos Aires Province, Argentina.</p>
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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.