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10 results for “harvest yield”
Climatic records and within field data on yield and harvest quality over a whole vineyard estate.
<p>The data were obtained on a 30 ha vineyard located in a peri-urban area near a city of 10,000 inhabitants (Villeneuve-lès-Maguelone, France; 43.532300° N, 3.864230° E). The data includes 3 types of data:</p> <ul> <li> <p><strong>Block(s) data</strong>: the data describes each vineyard block. The description parameters of the blocks are the identity, the year of plantation, the variety of the grapes, the area, the inter-row distance and vine-distance. The data is provided as vector data (.shp and associated files) using the WGS84 global coordinate reference system for latitude and longitude. The data is composed of 68 features.</p> </li> <li> <p><strong>Agronomic data</strong>: The data describes production parameters for each “harvest sector” for the 2022 harvest season. A harvest sector is the area covered by the harvester to fill a harvest trailer before its departure to a cellar. The mean area of these harvest sectors over the vineyard is equal to 0.3 ha. The data is provided as vector data (.shp and associated files) using the WGS84 global coordinate reference system for latitude and longitude. The data is composed of 87 features associated with 87 harvest sectors. Each harvest sector is characterized by the harvest date, the block(s) id(s) that it belongs to, the percentage of unproductive plants(Uplants) and yield parameters (Mass, Yield and Yield PP). For 50 of them, harvest quality parameters are available (Sugar, Alcohol, Total acidity, pH, Yeast Assimilable Nitrogen and Organic Nitrogen).</p> </li> <li> <p><strong>Weather data</strong>: the data consists of meteorological data for the 2020, 2021 and 2022 years recorded by a weather station located in the center of the vineyard. The recorded parameters are the followings: date, hour, relative humidity, rain gauge and air temperature. The acquisition time step is 15 minutes. The data are provided in Comma Separated Values (CSV) format. It is composed of 97988 lines. Each line describes meteorological data recorded at a given time.</p> </li> </ul>
Field experimental data of crop yields, nutrient concentrations, and harvest indices from around the world
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Bushmeat yields, species extinction rates and ecosystem-level impacts of bushmeat harvesting as predicted by the Madingley General Ecosystem Model
<p>The datasets contain data generated using the Madingley General Ecosystem Model for experiments decribed in the paper: "T. Barychka, G.M.Mace and D.W.Purves (2021) The Madingley General Ecosystem Model predicts bushmeat yields, species extinction rates and ecosystem-level impacts of bushmeat harvesting. Oikos."</p> <p>The Madingley General Ecosystem Model was used to generate predictions of bushmeat yields, extinction rates and broader ecosystem impacts for a range of harvesting intensities of duiker-sized endothermic herbivores. Duiker antelope (such as <i>Cephalophus callipygus</i> and <i>Cephalophus dorsalis</i>) are the most heavily hunted species in sub-Saharan Africa, contributing 34%-95% of all bushmeat in the Congo Basin. In the Madingley, the harvested group was described as "Heterotroph – Herbivore – Terrestrial – Mobile – Iteroparous– Endotherm", with adult bodymasses of 13-21 kg and juvenile bodymasses of >100 g. Harvesting period was set at 30 years (<em>n </em>=30).</p> <p>In the first experiment, we used the Madingley model to predict bushmeat yields ("Harvested Biomasses") and extinction rates ("Density") from harvesting duiker-sized herbivores using proportional harvesting strategy, with harvest rates ranging from 0 to 0.90. These were compared to the estimates of bushmeat yields and survival probabilities for two duiker antelope species (<i>Cephalophus callipygus</i> and <i>Cephalophus dorsalis) </i>from conventional single-species Beverton-Holt model. </p> <p>In the second experiment, we used the Madingley model to generate data on the state ("State") of the harvested ecosystem. The datasets contain estimates of biomasses, abundances, adult and juvenile bodymasses, etc. of the harvested duiker-sized herbivores as well as unharvested herbivores, omnivores and carnivores present in the simulated ecosystem. In the paper we focused on abundances; however, other estimates e.g., adult bodymasses can be used to conduct further studies on the effects of harvesting in tropical ecosystems.</p> <p>Main results of the experiments are that: 1) the Madingley model gave estimates for optimal harvesting rate, and extinction rate, that were qualitatively and quantitatively similar to the estimates from conventional single-species Beverton-Holt model; 2) the Madingley model predicted a background local extinction probability for the target species of at least 10%; 3) at medium and high levels of harvesting of duiker-sized herbivores, the Madingley model predicted statistically significant, but moderate, reductions in the densities of the targeted functional group; increases in small-bodied herbivores; decreases in large-bodied carnivores; and minimal ecosystem-level impacts overall.</p>
Yield development and nutrient offtake in contrasting Miscanthus genotypes under green and brown harvest regimes
<p>Harvest time is an important variable that determines the yield of miscanthus biomass, its possible end uses, and the nutrient offtake from the field. Green harvests result in a higher yield and greater nutrient removal from the field. Brown miscanthus harvests, carried out in late winter or early spring, result in lower yields, and a lower nutrient offtake, whereby the harvested biomass is better suited to use in combustion. To look at the long term impact of green harvests on miscanthus this experiment followed the yield development of two miscanthus genotypes subjected to green and brown harvests over a period of seven years at one site in Southern Germany. The standard commercial genotype <em>Miscanthus x giganteus</em> (Mxg) was compared to a novel late-ripening <em>Miscanthus sinensis</em> genotype: Syn55. Average yields of Mxg were 19.9 t ha<sup>-1</sup> for green harvests and 13.2 t ha<sup>-1</sup> for brown harvests compared to 13.9 t ha<sup>-1</sup> and 12.9 t ha<sup>-1</sup> for green and brown harvested Syn55 respectively. Yields of Mxg were very different for green and brown harvests; green harvested Mxg had very high nutrient offtake, while brown harvested Mxg had the lowest nutrient offtakes of all treatments. Syn55 showed a less marked difference between green and brown harvests likely due to its tendency to retain its leaves over winter. Syn55 was however not tolerant of a green harvest, with yields of brown harvested stands surpassing the yield of green harvested stands in several years. Mxg was shown to be tolerant of green harvests, producing consistently high yields when harvested in October. Early signs of yield decline were detected in both genotypes when harvested green, likely due to incomplete carbohydrate relocation. Alternating green and brown harvests are recommended to allow stands to replenish carbohydrate stores and to form a litter layer. </p>
Bushmeat yields, species extinction rates and ecosystem-level impacts of bushmeat harvesting as predicted by the Madingley General Ecosystem Model
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Yield development and nutrient offtake in contrasting Miscanthus genotypes under green and brown harvest regimes
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Data from: Balancing yield with resilience and conservation objectives in harvested predator-prey communities
The global overexploitation of fish stocks is endangering many marine food webs. Scientists and managers now call for an ecosystem-based fisheries management, able to take into account the complexity of marine ecosystems and the multiple ecosystem services they provide. By contrast, many fishery management plans only focus on maximizing the productivity of harvested stocks. Such practices are suggested to affect other ecosystem services, altering the integrity and resilience of natural communities. Here we show that while yield-maximizing policies can allow for coexistence and resilience in predator-prey communities, they are not optimal in a multi-objective context. We find that although total prey and predator maximum yields are higher with a prey-oriented harvest, focusing on the predator improves species coexistence. Also, moderate harvesting of the predator can enhance resilience. Furthermore, increasing maximum yields by changing catchabilities improves resilience in predator-oriented systems, but reduces it in prey-oriented systems. In a multi-objective context, optimal harvesting strategies involve a general trade-off between yield and resilience. Resilience-maximizing strategies are however compatible with quite high yields, and should often be favored. Our results further suggest that balancing harvest between trophic levels is often best at maintaining simultaneously species coexistence, resilience and yield.
Harvested Area and Yield data for China from the SPAM database
<p>Harvested Area and Yield data for China that was extracted from the SPAM database (V1.1).</p>
Data from: Balancing yield with resilience and conservation objectives in harvested predator-prey communities
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A Study Evaluating Efficacy, Toxicity, Harvest Yield and Quality of Life
ClinicalTrials.gov study NCT00222105. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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