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Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
Us County-Level Agricultural Crop Production Typology, Courtney R. Hammond Wagner, Meredith T. Niles, Eric D. Roy
Us County-Level Agricultural Crop Production Typology, Courtney R. Hammond Wagner, Meredith T. Niles, Eric D. Roy
Rubenstein School of Environment and Natural Resources Faculty Publications
Objectives: Crop production is an important variable in social, economic and environmental analyses. There is an abundance of crop data available for the United States, but we lack a typology of county-level crop production that accounts for production similarities in counties across the country. We fill this gap with a county-level classification of crop production with ten mutually exclusive categories across the contiguous United States. Data description: To create the typology we ran a cluster analysis on acreage data for 21 key crops from the United States Department of Agriculture's 2012 Agricultural Census. Prior to clustering, we estimated undisclosed county …
Flowering Resources Distract Pollinators From Crops: Model Predictions From Landscape Simulations, Charlie C. Nicholson, Taylor H. Ricketts, Insu Koh, Henrik G. Smith, Eric V. Lonsdorf, Ola Olsson
Flowering Resources Distract Pollinators From Crops: Model Predictions From Landscape Simulations, Charlie C. Nicholson, Taylor H. Ricketts, Insu Koh, Henrik G. Smith, Eric V. Lonsdorf, Ola Olsson
Rubenstein School of Environment and Natural Resources Faculty Publications
Enhancing floral resources is a widely accepted strategy for supporting wild bees and promoting crop pollination. Planning effective enhancements can be informed with pollination service models, but these models should capture the behavioural and spatial dynamics of service-providing organisms. Model predictions, and hence management recommendations, are likely to be sensitive to these dynamics. We used two established models of pollinator foraging to investigate whether habitat enhancement improves crop visitation; whether this effect is influenced by pollinator foraging distance and landscape pattern; and whether behavioural detail improves model predictions. The more detailed central place foraging model better predicted variation in bee …
Farming Within Limits, Lindsay Barbieri, Sonya Ahamed, Sam Bliss
Farming Within Limits, Lindsay Barbieri, Sonya Ahamed, Sam Bliss
Rubenstein School of Environment and Natural Resources Faculty Publications
Global agricultural production is alarmingly unsustainable. Manipulating living beings, their genetics, and entire ecosystems to produce food has always been a technological feat. Advancements in farming technology have made it possible to surpass critical thresholds of planetary sustainability. Technological change in agriculture generates tension between those who benefit and those who bear the costs. Agriculture produces more than enough to feed the world’s human population, but the global economy allocates food inequitably among people and redirects food to industrial feedlots, biofuel refineries, and the waste stream. Technical solutions alone cannot fix the underlying socioeconomic systems that produce unjust and unsustainable …
An Automated Approach To Map Winter Cropped Area Of Smallholder Farms Across Large Scales Using Modis Imagery, Meha Jain, Pinki Mondal, Gillian L. Galford, Greg Fiske, Ruth S. Defries
An Automated Approach To Map Winter Cropped Area Of Smallholder Farms Across Large Scales Using Modis Imagery, Meha Jain, Pinki Mondal, Gillian L. Galford, Greg Fiske, Ruth S. Defries
Rubenstein School of Environment and Natural Resources Faculty Publications
Fine-scale agricultural statistics are an important tool for understanding trends in food production and their associated drivers, yet these data are rarely collected in smallholder systems. These statistics are particularly important for smallholder systems given the large amount of fine-scale heterogeneity in production that occurs in these regions. To overcome the lack of ground data, satellite data are often used to map fine-scale agricultural statistics. However, doing so is challenging for smallholder systems because of (1) complex sub-pixel heterogeneity; (2) little to no available calibration data; and (3) high amounts of cloud cover as most smallholder systems occur in the …
Reducing Emissions From Agriculture To Meet The 2 °C Target, Eva Wollenberg, Meryl Richards, Pete Smith, Petr Havlík, Michael Obersteiner, Francesco N. Tubiello, Martin Herold, Pierre Gerber, Sarah Carter, Andrew Reisinger, Detlef P. Van Vuuren, Amy Dickie, Henry Neufeldt, Björn O. Sander, Reiner Wassmann, Rolf Sommer, James E. Amonette, Alessandra Falcucci, Mario Herrero, Carolyn Opio, Rosa Maria Roman-Cuesta, Elke Stehfest, Henk Westhoek, Ivan Ortiz-Monasterio, Tek Sapkota, Mariana C. Rufino, Philip K. Thornton, Louis Verchot, Paul C. West, Jean François Soussana, Tobias Baedeker
Reducing Emissions From Agriculture To Meet The 2 °C Target, Eva Wollenberg, Meryl Richards, Pete Smith, Petr Havlík, Michael Obersteiner, Francesco N. Tubiello, Martin Herold, Pierre Gerber, Sarah Carter, Andrew Reisinger, Detlef P. Van Vuuren, Amy Dickie, Henry Neufeldt, Björn O. Sander, Reiner Wassmann, Rolf Sommer, James E. Amonette, Alessandra Falcucci, Mario Herrero, Carolyn Opio, Rosa Maria Roman-Cuesta, Elke Stehfest, Henk Westhoek, Ivan Ortiz-Monasterio, Tek Sapkota, Mariana C. Rufino, Philip K. Thornton, Louis Verchot, Paul C. West, Jean François Soussana, Tobias Baedeker
Rubenstein School of Environment and Natural Resources Faculty Publications
More than 100 countries pledged to reduce agricultural greenhouse gas (GHG) emissions in the 2015 Paris Agreement of the United Nations Framework Convention on Climate Change. Yet technical information about how much mitigation is needed in the sector vs. how much is feasible remains poor. We identify a preliminary global target for reducing emissions from agriculture of ~1 GtCO2e yr−1 by 2030 to limit warming in 2100 to 2 °C above pre-industrial levels. Yet plausible agricultural development pathways with mitigation cobenefits deliver only 21–40% of needed mitigation. The target indicates that more transformative technical and policy options will be needed, …
Governing Agriculture-Forest Landscapes To Achieve Climate Change Mitigation, Arun Agrawal, E. Wollenberg, L. Persha
Governing Agriculture-Forest Landscapes To Achieve Climate Change Mitigation, Arun Agrawal, E. Wollenberg, L. Persha
Rubenstein School of Environment and Natural Resources Faculty Publications
This introduction to the special section on "Governing Agriculture-Forest Landscapes to Achieve Climate Change Mitigation" reviews external interventions to improve forest conditions and reduce deforestation, and by extension, influence carbon storage in agriculture-forest landscapes. The review is based on a careful survey of 123 cases of project-based and policy interventions to influence land use and forest cover outcomes. We propose that outcomes of interventions can be explained in terms of rights, incentives, and technologies related to land use and apply this framework to examine 12 types of interventions in agriculture-forest landscapes. The analysis of the identified 123 cases raises concerns …
Mapping The Margin: Comparing Marginal Values Of Tropical Forest Remnants For Pollination Services, Taylor H. Ricketts, Eric Lonsdorf
Mapping The Margin: Comparing Marginal Values Of Tropical Forest Remnants For Pollination Services, Taylor H. Ricketts, Eric Lonsdorf
Rubenstein School of Environment and Natural Resources Faculty Publications
Natural ecosystems benefit human communities by providing ecosystem services such as water purification and crop pollination. Mapping ecosystem service values has become popular, but most are static snapshots of average value. Estimating instead the economic impacts of specific ecosystem changes can better inform typical resource decisions. Here we develop an approach to mapping marginal values, those resulting from the next unit of ecosystem change, across landscapes. We demonstrate the approach with a recent model of crop pollination services in Costa Rica, simulating deforestation events to predict resulting marginal changes in pollination services to coffee farms. We find that marginal losses …