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506 results for “crop data”
Data for: Direct and indirect effects of food, fear and management on crop damage by ungulates
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Data for: Direct and indirect effects of management and landscape on biological pest control and crop pest infestation in apple orchards
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Data from: Compatibility of the fungus Beauveria bassiana and Trichoplusia ni SNPV against the cabbage looper Trichoplusia ni : crop plant matters
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Data from: Generalist predators function as pest specialists: Examining diet composition of spiders and ladybeetles across rice crop stages
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Data from: Highly diversified crop-livestock farming systems reshape wild bird communities
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Data from: Cover crop species alter tallgrass prairie community assembly
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Data from: Initial nitrous oxide, carbon dioxide, and methane costs of converting conservation reserve program grassland to row crops under no-till vs. conventional tillage
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Data from: Crop feeding by brown howlers (Alouatta guariba clamitans) in forest fragments: the conservation value of cultivated species
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Data from: Identification of anti-fungal bioactive terpenoids from the bioenergy crop switchgrass (Panicum virgatum)
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Data from: Weed evolution: genetic differentiation among wild, weedy, and crop radish
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Data from: Impacts of rotation, tillage, cover cropping, and drainage on soil health in soybean-based cropping systems: Evidence from 4–50-year trials across the US
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Data from: Cover crops dismantle keystone ant/aphid mutualisms to enhance insect pest suppression and weed biocontrol
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Data from: Landscapes with higher crop diversity have lower aphid species richness but higher plant virus prevalence
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Data from: Tillage in southeastern U.S. row crops reduces ground-nesting bee incidence and diversity compared to field edges
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Data from: Human-wildlife coexistence needs more evidence-based interventions to reduce the losses of crops, livestock, and fishery catches
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Data for: Biochar co-compost improves nitrogen retention and reduces carbon emissions in a winter wheat cropping system
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Data for: Multifunctional landscapes for dedicated bioenergy crops lead to low-carbon market-competitive biofuels
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Data produced for "Crop switching reduces agricultural losses from climate change in the United States by half"
<p>This data archive includes all of the results from the models used to<br> produce the paper "Crop switching reduces agricultural losses from<br> climate change in the United States by half". It contains three main<br> archives:</p> <p>1. inputs: The temperature and water stress indicators for each crop,<br> along with county-level log-yields. Both the Bayesian and OLS<br> models are fit to this data. Static covariates are available in<br> us-bioclims-new.csv.<br> <br> Files:<br> <br> data-inputs-futureedds1.zip - data-inputs-futureedds3.zip:<br> GCM-specific quantifications of the exceedance degree days used as<br> temperature predictors.<br> <br> data-inputs-other.zip: All other input files.</p> <p>2. bayes: Each of the variables fit in the Bayesian model, for each<br> MCMC draw from the posterior distribution. The contained directory<br> includes for each crop versions with constant variance (-variance)<br> and under cross-validation (-cv). The counties are ordered<br> according to fips-usa.csv.</p> <p> Files:</p> <p> data-bayes-checks: Posterior predictive check outputs.</p> <p> data-bayes-full-constvar-*.zip: MCMC draws for the all-years fit<br> assuming constant variance. Divided to make the files more<br> manageable.<br> <br> data-bayes-full-varvar.zip: MCMC draws for the all-years fit<br> assuming county-specific variances.</p> <p> data-bayes-cv-constvar.zip: MCMC draws for the cross-validation fit<br> assuming constant variance.</p> <p> data-bayes-cv-varvar-*.zip: MCMC draws for the cross-validation fit<br> assuming county-specific variances. Divided to make the files more<br> manageable.</p> <p>3. optim: Optimization model results. The results/ directory contains<br> the optimization results for each set of assumptions presented in<br> the appendix, applied to the average yield levels. The results-mc/<br> directory contains profit, yield, and optimization results for each<br> draw of the MCMC independently.</p> <p> Files:<br> <br> data-optim-inputs-mc.zip: Locally optimal cropping files, under<br> MCMC draws of the model.<br> <br> data-optim-results-mc.zip: Constrainted optimization model results,<br> under MCMC draws of the model.<br> <br> data-optim-results.zip: Constrained optimization model results,<br> using the average parameters of the model.<br> <br> data-optim-other.zip: Other outputs of the optimization process.<br> </p>
Data from: No‐till establishment improves the climate benefit of bioenergy crops on marginal grasslands
<p>Expanding biofuel production is expected to accelerate the conversion of unmanaged marginal lands to meet biomass feedstock needs. Greenhouse gas production during conversion jeopardizes ensuing climate benefits, but most research to date has focused only on conversion to annual crops and only following tillage. Here we report the global warming impact of converting USDA Conservation Reserve Program (CRP) grasslands to three types of bioenergy crops using no-till (NT) versus conventional tillage (CT). In three CRP fields planted to continuous corn, switchgrass, or restored prairie we established replicated NT and CT plots. For the two years following an initial soybean year in all fields, we found that, on average, NT conversion reduced nitrous oxide (N2O) emissions by 50% and carbon dioxide (CO2) emissions by 20% compared to CT conversion. Differences were higher in year 1 than in year 2 in the continuous corn field, and in the two perennial systems the differences disappeared after year 1. In all fields net CO2 emissions (as measured by eddy covariance) were positive for the first two years following CT establishment, but following NT establishment net CO2 emissions were close to zero or negative, indicating net C sequestration. Overall, NT improved the global warming impact of biofuel crop establishment following CRP conversion by over 20-fold compared to CT (-6.01 Mg CO2e ha-1 yr-1 for NT vs. -0.25 Mg CO2e ha-1 yr-1 for CT, on average). We also found that IPCC estimates of N2O emissions (as measured by static chambers) greatly underestimated actual emissions for converted fields regardless of tillage. Policies should encourage adoption of NT for converting<br> marginal grasslands to perennial bioenergy crops in order to reduce carbon debt and maximize climate benefits.</p>
Data from: Crop production in the USA is frequently limited by a lack of pollinators
<p>Most of the world's crops depend on pollinators, so declines in both managed and wild bees raise concerns about food security. However, the degree to which insect pollination is actually limiting current crop production is poorly understood, as is the role of wild species (as opposed to managed honey bees) in pollinating crops, particularly in intensive production areas. We established a nation-wide study to assess the extent of pollinator limitation in seven crops at 131 locations situated across major crop-producing areas of the USA. We found that five out of seven crops showed evidence of pollinator limitation. Wild bees and honey bees provided comparable amounts of pollination for most crops, even in agriculturally-intensive regions. We estimated the nation-wide annual production value of wild pollinators to the seven crops we studied at over $1.5 billion; the value of wild bee pollination of all pollinator-dependent crops would be much greater. Our findings show that pollinator declines could translate directly into decreased yields or production for most of the crops studied, and that wild species contribute substantially to pollination of most study crops in major crop-producing regions.</p>
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OpenNeuro
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