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3,121 results for “Resources”
Data and R code for “Both weather and resources influence masting in chestnut oak (Quercus montana Willd.) and black oak (Q. velutina Lam.)”, Plant Ecology, 2021
Masting is the synchronous and highly variable production of fruit within a population. Although several hypotheses have been proposed to explain why and how masting evolved in plants as a reproductive strategy, the factors that trigger a large reproductive effort in a particular year are still not well understood. While both weather and resources have been proposed to play an important role, testing these hypotheses has been challenging due to a lack of long-term data and appropriate experimental designs. In this manuscript, we used 18 years of acorn production data to analyze the relationship between resources, weather, and masting in black oak (Quercus velutina) and chestnut oak (Q. montana). The data were collected in southeast Ohio as part of the Fire and Fire Surrogate (FFS) study, which applied silvicultural treatments (i.e., thinning and prescribed fires) to reduce competition and manipulate resources. We found species-specific responses to the thinning and fire treatments, with an overall increase in acorn production for chestnut oak in the thin + burn treatment and an increase for black oak in the thin-only treatment compared to the control. Chestnut oak reproduction also had strong positive relationships with warm spring temperatures, and a positive change in summer temperatures compared to the previous year (i.e., summer temperatures that went from cool to warm). For black oak, warm spring temperatures increased acorn production while later starts to spring warming the year before decreased acorn production. These results support the hypotheses that both resources and weather (as a cue and as a limiting factor) are important for masting in oaks. Thus, both factors should be included in predictive models for acorn production under current and future climate conditions.
Reproductive output: Traits: Competition and Resource Reduction for Five Grass Species Grown in Monoculture and Competition in Soils with Different Nitrogen Availabilities
This experiment was designed to determine the relationships between plant traits, successional status, and resource reduction for five grass species that were grown for three years in monoculture in replicated field plots on soils prepared to have different availabilities of nitrogen. It also determines the results of competition experiments among various combinations of these species as well as the differing feedback effects of each species on soil nitrogen mineralization rates. All of this work has motivated the desire to more fully understand the mechanisms of interactions among plants and their resources, in the belief that this might eventually allow predictions of the dynamics, diversity, and composition of plant communities.
Weed biomass: Traits: Competition and Resource Reduction for Five Grass Species Grown in Monoculture and Competition in Soils with Different Nitrogen Availabilities
This experiment was designed to determine the relationships between plant traits, successional status, and resource reduction for five grass species that were grown for three years in monoculture in replicated field plots on soils prepared to have different availabilities of nitrogen. It also determines the results of competition experiments among various combinations of these species as well as the differing feedback effects of each species on soil nitrogen mineralization rates. All of this work has motivated the desire to more fully understand the mechanisms of interactions among plants and their resources, in the belief that this might eventually allow predictions of the dynamics, diversity, and composition of plant communities.
Root biomass data: Traits: Competition and Resource Reduction for Five Grass Species Grown in Monoculture and Competition in Soils with Different Nitrogen Availabilities
This experiment was designed to determine the relationships between plant traits, successional status, and resource reduction for five grass species that were grown for three years in monoculture in replicated field plots on soils prepared to have different availabilities of nitrogen. It also determines the results of competition experiments among various combinations of these species as well as the differing feedback effects of each species on soil nitrogen mineralization rates. All of this work has motivated the desire to more fully understand the mechanisms of interactions among plants and their resources, in the belief that this might eventually allow predictions of the dynamics, diversity, and composition of plant communities.
Plant aboveground biomass data: Traits: Competition and Resource Reduction for Five Grass Species Grown in Monoculture and Competition in Soils with Different Nitrogen Availabilities
This experiment was designed to determine the relationships between plant traits, successional status, and resource reduction for five grass species that were grown for three years in monoculture in replicated field plots on soils prepared to have different availabilities of nitrogen. It also determines the results of competition experiments among various combinations of these species as well as the differing feedback effects of each species on soil nitrogen mineralization rates. All of this work has motivated the desire to more fully understand the mechanisms of interactions among plants and their resources, in the belief that this might eventually allow predictions of the dynamics, diversity, and composition of plant communities.
Plant species percent cover data: Traits: Competition and Resource Reduction for Five Grass Species Grown in Monoculture and Competition in Soils with Different Nitrogen Availabilities
This experiment was designed to determine the relationships between plant traits, successional status, and resource reduction for five grass species that were grown for three years in monoculture in replicated field plots on soils prepared to have different availabilities of nitrogen. It also determines the results of competition experiments among various combinations of these species as well as the differing feedback effects of each species on soil nitrogen mineralization rates. All of this work has motivated the desire to more fully understand the mechanisms of interactions among plants and their resources, in the belief that this might eventually allow predictions of the dynamics, diversity, and composition of plant communities.
Soil nitrate and ammonium: Traits: Competition and Resource Reduction for Five Grass Species Grown in Monoculture and Competition in Soils with Different Nitrogen Availabilities
This experiment was designed to determine the relationships between plant traits, successional status, and resource reduction for five grass species that were grown for three years in monoculture in replicated field plots on soils prepared to have different availabilities of nitrogen. It also determines the results of competition experiments among various combinations of these species as well as the differing feedback effects of each species on soil nitrogen mineralization rates. All of this work has motivated the desire to more fully understand the mechanisms of interactions among plants and their resources, in the belief that this might eventually allow predictions of the dynamics, diversity, and composition of plant communities.
Soil nitrogen: Traits: Competition and Resource Reduction for Five Grass Species Grown in Monoculture and Competition in Soils with Different Nitrogen Availabilities
This experiment was designed to determine the relationships between plant traits, successional status, and resource reduction for five grass species that were grown for three years in monoculture in replicated field plots on soils prepared to have different availabilities of nitrogen. It also determines the results of competition experiments among various combinations of these species as well as the differing feedback effects of each species on soil nitrogen mineralization rates. All of this work has motivated the desire to more fully understand the mechanisms of interactions among plants and their resources, in the belief that this might eventually allow predictions of the dynamics, diversity, and composition of plant communities.
Percent light penetration and maximum plant height: Traits: Competition and Resource Reduction for Five Grass Species Grown in Monoculture and Competition in Soils with Different Nitrogen Availabilities
This experiment was designed to determine the relationships between plant traits, successional status, and resource reduction for five grass species that were grown for three years in monoculture in replicated field plots on soils prepared to have different availabilities of nitrogen. It also determines the results of competition experiments among various combinations of these species as well as the differing feedback effects of each species on soil nitrogen mineralization rates. All of this work has motivated the desire to more fully understand the mechanisms of interactions among plants and their resources, in the belief that this might eventually allow predictions of the dynamics, diversity, and composition of plant communities.
Seed weight : Traits: Competition and Resource Reduction for Five Grass Species Grown in Monoculture and Competition in Soils with Different Nitrogen Availabilities
This experiment was designed to determine the relationships between plant traits, successional status, and resource reduction for five grass species that were grown for three years in monoculture in replicated field plots on soils prepared to have different availabilities of nitrogen. It also determines the results of competition experiments among various combinations of these species as well as the differing feedback effects of each species on soil nitrogen mineralization rates. All of this work has motivated the desire to more fully understand the mechanisms of interactions among plants and their resources, in the belief that this might eventually allow predictions of the dynamics, diversity, and composition of plant communities.
Available light at soil surface: Traits: Competition and Resource Reduction for Five Grass Species Grown in Monoculture and Competition in Soils with Different Nitrogen Availabilities
This experiment was designed to determine the relationships between plant traits, successional status, and resource reduction for five grass species that were grown for three years in monoculture in replicated field plots on soils prepared to have different availabilities of nitrogen. It also determines the results of competition experiments among various combinations of these species as well as the differing feedback effects of each species on soil nitrogen mineralization rates. All of this work has motivated the desire to more fully understand the mechanisms of interactions among plants and their resources, in the belief that this might eventually allow predictions of the dynamics, diversity, and composition of plant communities.
Trace gas on the Resource Gradient Study at the Kellogg Biological Station, Hickory Corners, MI (2001 to 2003)
Dataset Abstract This study provides a gradient of nitrogen fertilization under rainfed and irrigated conditions. Nitrogen applications range from 0 to 291 kg N/ha . Plots are 5×30 m arranged in each of 4 replicate blocks. The crop rotation (wheat, corn, soybean) follows the pattern of the main site. The study started in 2002 as a rainfed only study on the south end of the main site. In 2005 a new rainfed and irrigated study was started at the south end of the lysimeter field. The original study site was discontinued in 2006. Crop yields, nitrous oxide and soil temperature, moisture and nitrogen data are available for this study. Treatments are numbered as follows: 1 = 0 kg N/ha, 2= 34 kg N/ha, 3= 67 kg N/ha, 4= 101 kg N/ha, 5= 134 kg N/ha, 6= 168 kg N/ha, 7 = 202 kg N/ha, 8= 246 kg N/ha, 9= 291 kg N/ha. original data source http://lter.kbs.msu.edu/datasets/79
The Hidden Midden – Geoarchaeological investigation of sedimentation processes, waste disposal practices and resource management at the La Tène settlement of Basel-Gasfabrik (Switzerland) - Dataset
<p>Data set to the paper " The Hidden Midden – Geoarchaeological investigation of sedimentation processes, waste disposal practices and resource management at the La Tène settlement of Basel-Gasfabrik (Switzerland)" (Geoarchaeology; An International Journal).</p> <p>Supplementary Information 1: Profile photos, polished sections and thin sections scans</p> <p>Supplementary Information 2: Data set of the micromorpological analysis. Most of the data are given in a semiquantitative way: absent [0%] – single [<2%] – few [2–10%] – frequent [10–25%] – numerous [25–50%] – dominant [>50%]</p> <p> </p>
Rapid growth of new atmospheric particles by nitric acid and ammonia condensation: data resources
<p>Data presented in the manuscript "Rapid growth of new atmospheric particles by nitric acid and ammonia condensation" currently in review.</p> <p> </p> <p>The manuscript associated with this data was written using results from the CLOUD experiment at CERN, and the author list is a subset of the CLOUD collaboration.</p> <p> </p>
Datasets of "Whole genome sequencing of European autochthonous and commercial pig breeds provides selection signatures of adaptation of genetic resources to different breeding and production systems"
<p>Results of the F<sub>ST</sub> and H<sub>P</sub> analyses.</p>
Data set: Resource footprints, quality of life and economic development
<p>This data set accompanies the publication "Towards a comprehensive framework of the relationships between resource footprints, quality of life and economic development" by Stefan Cibulka and Stefan Giljum from the Institute for Ecological Economics at the Vienna University of Economics and Business (WU).</p> <p>The file provides data on resource footprints (carbon footprint, material footprint), Human Development Index, Happiness Index as well as GDP for countries world-wide in the time span from 1990 to 2015. In addition, it provides all specifications of the regression analyses undertaken in the course of this study and the detailed regression results.</p>
Supplementary data for Cariou et al (2020, Molecular Ecology Resources, "How consistent is RAD-seq divergence with DNA-barcode based clustering in insects?")
<p>This dataset accompanies a paper by Cariou et al, to be published in Molecular Ecology Resources, where we assessed in 92 insect species if the genetic clustering of specimens into species like units, on the basis of mitochondrial DNA, was consistent with genome wide divergence, as estimated by RAD-seq data. The present repository includes: (1) a detailed description of the bioinformatic analysis indicating which programs were used, together with parameter values, (2) the raw RAD-seq data following demultiplexing, (3) the consensus sequences of all RAD loci for all specimens, and (4) large tables indicating genetic distances at all RAD loci for all species.</p>
Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions (v2.0)
<p><strong>Agricultural land resources – a global suitability evaluation</strong></p> <p><em>An inventory is required on the changing potentially suitable areas for agriculture under changing climate conditions. Within the context of the GLUES project, researchers at the Ludwig-Maximilians University (LMU) investigated the global agricultural suitability of land under changing climate conditions at high spatial resolution. The growing demand for food, feed, fiber and bioenergy increases pressure on land and causes land use/cover change and trade-offs between different uses of land and ecosystem services. In order to ensure food security, agricultural potentials need to be used more efficiently in the future. Therefore, the agricultural suitability of land are important information e.g. in order to identify todays suitable areas and possible future changes. The potential suitability of todays forested and protected areas can be used to identify possible hotspots of land use/cover change. Therefore, LMU is working on improving the knowledge of global agricultural potentials of land and better understanding the interdependencies between ecological and socio-economic systems which are driving land use/cover change.</em></p> <p><strong>Determining Agricultural Suitability</strong></p> <p>Local climate, soil and topography determine the available energy, water and nutrient supply for agricultural crops and thus their natural suitability. In order to allow for computing the natural agricultural constraints on the globe at 30 arc seconds (1km) spatial resolution, the following high resolution data were applied:</p> <p>Daily data for temperature, precipitation and solar radiation from the global climate model ECHAM5. Soil data comes from the Harmonized World Soil Database (HWSD). Considered soil properties are texture, proportion of coarse fragments and gypsum, base saturation, pH content, organic carbon content, salinity, sodicity. Topography data was applied from the Shuttle Radar Topography Mission (SRTM). Irrigation has strong impact on the crop’s suitability. It is considered on todays irrigated areas as given by the FAO Aquastat Global Maps of Irrigated Areas (GMIA) dataset. The determinant factors are contrasted with the crop-specific requirements, using a fuzzy-logic approach. The crop requirements are taken from literature.</p> <p><strong>Agricultural Suitability</strong></p> <p>General agricultural suitability at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The agricultural suitability represents for each pixel the maximum suitability value of the considered 16 plants. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100).</p> <p><strong>Suitability Change due to Climate until 2100</strong></p> <p>Change in agricultural suitability and crop suitability due to climate change for SRES A1B scenario conditions for 16 crops between 1981-2010 and 2071-2100 at a spatial resolution of 30 arcsec.</p> <p><strong>Multiple Cropping</strong></p> <p>Potential number of suitable crop cycles for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100).</p> <p><strong>Growing Cycle</strong></p> <p>Start of the growing cycle for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. In case of multiple cropping, the start of the first growing cycle is shown. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100).</p> <p><strong>Further information</strong></p> <p>Detailled information are available in the following publication:<br> Zabel F., Putzenlechner B., Mauser W. (2014): <strong>Global agricultural land resources – a high resolution suitability evaluation and its perspectives until 2100 under climate change conditions. </strong> Online available: <a href="http://dx.plos.org/10.1371/journal.pone.0107522">PLOS ONE</a>. DOI: 10.1371/journal.pone.0107522</p> <p><strong>Improvements in v2.0</strong></p> <p>Compared to previous versions, v2.0 uses updated input data for soil and minor improvements of the statistical downscaling and the bias correction of the climate model data.</p> <p><strong>Contact</strong></p> <p>Please contact: Dr. Florian Zabel, <a href="mailto:f.zabel@lmu.de">f.zabel@lmu.de</a>, Department für Geographie, LMU München (<a href="http://www.geografie.uni-muenchen.de">www.geografie.uni-muenchen.de</a>)</p>
Resource Menteri di Indonesia dari id.dbpedia.org
<p>Dataset untuk menteri-menteri di Indonesia beserta nama presiden dan daerah asalnya</p>
PID and LQR controllers evaluation for the resource utilization management
<p>PID and LQR controllers evaluation for the resource utilization management for the paper submitted to ACSOS-2020.</p>
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Allen Brain Atlas
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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.