Source: UNIVERSITY OF VERMONT submitted to NRP
ASSESSING THE POTENTIAL FOR CARBON NEUTRAL FOOD SYSTEMS FOR CHITTENDEN COUNTY, VERMONT
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
0231153
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Oct 1, 2012
Project End Date
Sep 30, 2016
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
UNIVERSITY OF VERMONT
(N/A)
BURLINGTON,VT 05405
Performing Department
Community Development and Applied Economics
Non Technical Summary
Society must increase agriculture production to feed a growing population while reducing agricultures global environmental impact and reliance on finite fossil fuels inputs or risk potentially catastrophic consequences. Evidence suggests that alternative agricultural technologies can potentially reduce fossil fuel use, sequester atmospheric carbon and potentially increase agricultural yields. The goal of this project is to assess the potential for carbon sequestration by alternative agriculture in the Chittenden county food shed, and the potential for reducing the carbon footprint of Chittenden countys food system by at least 80%, a level compatible with the stabilization of atmospheric carbon stocks. We will create modules for an existing sophisticated computer models known as ARIES (Artificial Intelligence for Ecosystem Services) that can assess teh carbon sequestration and food production potential of alternative agricultural practices in Vermont. Resulting estimates will be integrated into a linear programming model to determine the minimum carbon emissions necessary to meet Chittenden countys nutritional needs. In-depth interviews with Vermont farmers will explore barriers and solutions to adopting farm practices that sequester carbon, and provide input into the design of payments for ecosystem service schemes to finance and incentivize low-carbon agricultural practices.
Animal Health Component
40%
Research Effort Categories
Basic
40%
Applied
40%
Developmental
20%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1315010301033%
1335010301033%
6050199208034%
Goals / Objectives
The goal of this project is to assess the potential for carbon sequestration by alternative agriculture in the Chittenden County food shed, and the potential for reducing the greenhouse gas emissions from the food systems that supply Chittenden County. 1. Model potential carbon sequestration and food production by alternative agricultural systems in the Chittenden county Foodshed. The ARIES modeling system will be used to couple prior information on land management techniques with data for soil, climate, and vegetation characteristics to assesses the sequestration and storage potential of mixed agricultural and forested landscapes in the Chittenden county foodshed, where foodshed is defined as food system that connects local producers with local consumers. 2. Calculate the combination of food systems that is capable of meeting Chittenden countys food requirements while minimizing carbon emission. Results from the ARIES model will be fed into a linear programing model capable of determining the minimum carbon emissions required for Chittenden county to meet its food requirements while reducing carbon emissions by 90%. 3. Explore the barriers to the adoption of alternative low-carbon agriculture on Vermont farms, and the potential for payments for ecosystem services and higher food prices to overcome them. In depth semi-structured interviews with Vermont farmers will assess their perceptions of the obstacles to adopting alternative agriculture as well as their participation in, knowledge of, and willingness to participate in PES schemes. Results will feed into an analysis of the nature of investments, public or private, that are most likely to promote alternative agriculture.
Project Methods
Objective 1: Model potential carbon sequestration and food production by alternative agricultural systems in the Chittenden county Foodshed. I will use the ARIES modeling platform, developed with NSF funding at the University of Vermonts Gund Institute for Ecological Economics, to run probabilistic Bayesian models of carbon sequestration and provisioning services (in this case, food provision) from various agricultural practices in Chittenden county, including urban agriculure. I will develop a Bayesian Neural Network (BNN) of carbon sequestration and food provision using the following steps: 1) create an influence diagram of the hypothesized causal web of key factors affecting carbon sequestration and food provision, use the diagram to develop a BNN model, conduct a thorough review of the literature on carbon sequestration from these types of agricultural lands, then use the results to either accept or revise the initial model and carefully document underlying hypotheses; 2) revise these models based on expert review; 3) test and calibrate the model with case study data. The spatial capabilities of ARIES will allow us to include the carbon emissions from transportation. Objective 2: Calculate the combination of food systems that is capable of meeting Chittenden countys food requirements while minimizing carbon emissions To test the hypothesis that it is possible to reduce net carbon emissions from Chittenden countys food system by over 80% while still meeting Chittenden countys nutritional needs, I will develop a linear programming model that can determine the minimum carbon emissions necessary to satisfy Chittenden countys nutritional needs. I will use GAMS (General Algebraic Modeling System) to solve it. We will assume that conventional agriculture has no land constraints and limitless food production potential for any type of food. Following Peters et al. (2009) and using their numbers, food production and food needs will be expressed as Human Nutritional Equivalents, defined as the quantity of food that supplies a healthy diet for one person for one year. Objective 3: Explore the potential for payments for ecosystem services and/or higher food prices to eliminate barriers to use of agroecology on Vermont farms. In-depth, semi-structured interviews with Vermont farmers will be used to develop a base-line understanding of barriers and constraints that are specific to use of agroecology in Vermont, in addition to garnering farmer attitudes on various incentives for agroecology and other potential eliminations of barriers. The interviews will involve pre-determined, open-ended questions, prepared by the research team, but will allow for divergence from the guide as unexpected themes present themselves. Interviews will be recorded and then transcribed verbatim. Constant-comparative method of analysis will be used for the coding. Through this rigorous analytic procedure, specific incidents found in the data will be compared to each other to determine recurring themes. Data will be conceptually ordered by physically grouping themes, and coded by use of NVivo 9, a qualitative data coding and analysis software program.

Progress 10/01/12 to 09/30/16

Outputs
Target Audience:Academics interested in the relationship between agricultural and ecosystem services, climate change, and mitigation strategies. Changes/Problems:I made far less project on my objectives than anticipated, but now have two PhD students interested in continuiing the project. I am also taking a sabbatical leave next year which will give me time to finish up this project, publish results, and apply for additional funding. What opportunities for training and professional development has the project provided?One graduate student, Skyler Perkins, is in the final stages of wrapping up this thesis, and will be defending this semester. I expect to submit a co-authored journal article with him shortly. One of my PhD students is very interested in continuing this research. How have the results been disseminated to communities of interest?In addition to publications previously mentioned, Ihave presented the results of this project or ideas that emerged from the research in a conference plenary address and 5 other invited presentations. Those available on the webare listed under "outcomes". The others include: Paths for Constructive Action (closing plenary panel). Building Good Economies: An Interdisciplinary Conference Celebrating 125 Years of Modern Catholic Social Teaching. April 20-22, 2016. Fordham University, Lincoln Center Campus, NYC Sustainable Economies, Sustainable Lives: Interdisciplinary Perspectives (opening plenary, panellist respondent to lecture by Juliet Shor). Building Good Economies: An Interdisciplinary Conference Celebrating 125 Years of Modern Catholic Social Teaching. April 20-22, 2016. Fordham University, Lincoln Center Campus, NYC Planetary limits, social needs, and an Economics for the Anthropocene. Danforth-Lewis Speakers Series, Oberlin College. April 5, 2016. What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

Impacts
What was accomplished under these goals? We developed a GIS model of suitable agricultural land in Chittenden County, Vermont. We alsodeveloped a linear programming model that allowed us to minimize the carbon footprint for Chittenden County Vermonet associated with three different diets: typical American, optimal ominvore, and optimal vegan.

Publications

  • Type: Journal Articles Status: Published Year Published: 2016 Citation: Farley, J., Voinov, A., 2016. Economics, socio-ecological resilience and ecosystem services. Journal of Environmental Management 183, 389-398.
  • Type: Book Chapters Status: Published Year Published: 2016 Citation: Farley, J., (2016). The Foundations for an Ecological Economy: An Overview, in: Farley, J., Malghan, D., Goodland, R. (Eds.), Beyond Uneconomic Growth. Edward Elgar, New York.
  • Type: Book Chapters Status: Published Year Published: 2016 Citation: Farley, J. (2016) Capitalism and the Steady State: Uneasy Bedfellows. In H.�Washington and P. Twomey (Eds.) A Future Beyond Growth. Routledge, New York.


Progress 10/01/13 to 09/30/14

Outputs
Target Audience: Academics interested in the relationship between agricultural and ecosystem services, climate change, and mitigation strategies. Changes/Problems: In our proposal we acknowledged the possibilty that the costs of developing a Bayesian neural network model might exceed the benefits, and have found this to be the case. We have therefore decided to apply the COMET model to achieve our original goals. What opportunities for training and professional development has the project provided? I developed a graduate level course on Agroecology, Farmer Livelihoods and Ecosystem Services, with a travel portion in Santa Catarina, Brazil. We focused on silvopastoral and agroforestry systems, among small family farmers primarily engaged in dairy production and organic vegetables, assessing their ecological and economic impacts. In spite of the differnet location, the core themes of the course were closely related to the current project. How have the results been disseminated to communities of interest? I have given numerous keynote presentations on the general topic of agroecology, farmer livelihoods and ecosystem services, including Agroecology, Farmer Livelihoods and Ecosystem Services in Brazil's Atlantic Forest. X Eugen Warming Lectures in Evolutionary Ecology: Biodiversity and ecosystem services in the tropics - now and beyond. Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil. December 3, 2014 Ecological economics and sustainability. X Eugen Warming Lectures in Evolutionary Ecology: Biodiversity and ecosystem services in the tropics - now and beyond. Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil. December 2, 2014 Local Agriculture, Global Ecosystems and Human Survival. Plenary address as the Local Food Summit. Anne Arbor, Michigan. March 31, 2014 I have three more scheduled presentations to Berkeley's Food Institute and the SpringSymposium for IowaState's Graduate Program in Sustainable Agriculture, both in April, and a keynote address at thePrimer Congreso Internacional de Economía Ecológica en Puerto Rico, in June. What do you plan to do during the next reporting period to accomplish the goals? In April I will request a no cost extention for the project. By July I will prepare a policy proposal for state support of agroecological practices that enhance ecosystem services in Santa Catarian, Brazil. By August we will have developed modeled the carbon footprint of different agricultural practices that can satisfy the food requirements of Chittenden County and prepared a masters thesis chapter on the topic. By September we will prepare a video on challenge of sustainable food production that will contribute to the same Master's thesis. I will lead another course to Brazil to focus on agroecology, farmre livelihoods and ecosystem services there, emphasizing lessons for Vermont. By December we will have completed the linear programming model that determines what practices are compatible with an 80% reduction in emissions. I will spend the remainder of the yearexploring the barriers to the adoption of alternative low-carbon agriculture on Vermont farms, and the potential for payments for ecosystem services and higher food prices to overcome them.

Impacts
What was accomplished under these goals? We have developed a rule set for GIS that determines the availability of urban land for food production, and the suitability of farmland for different types of production. We have gathered most of the required data layers. We have estimated current GHG emissions from food systems in Chittenden county, comparing annual food expenditures and preferences from Chittenden County with national data. We have also estimated crop yields from each different land type. Estimating and modeling carbon footprints for different production practices has proven more challenging than we expected owing the considerable controversy in the published literature. We prepared an extensive literature review of the carbon footprints from different farming practices, computer models of carbon sequestration, general modeling approaches. the failures and successes of carbon sequestration efforts, and policy initiatives. After careful consideration, we have decided to set aside the Bayesian neural network approach and instead adopt the COMET model coupled with GIS land availability data to provide a rough estimate on GHG emissions in local agricultural production. We plan to seek a no cost extension in order to complete the project.

Publications

  • Type: Journal Articles Status: Published Year Published: 2015 Citation: Farley, J., Costanza, R., G.Flomenhoft, Kirk, D. (2015) The Vermont Common Assets Trust: an Institution for Sustainable, Just and Efficient Resource Allocation. Ecological Economics, 109, 71-79
  • Type: Journal Articles Status: Published Year Published: 2014 Citation: Alvez, J.P., Schmitt, A.L., Farley, J.C., Erickson, J.D., M�ndez, V.E. (2014). Transition from Semi-Confinement to Pasture-Based Dairy in Brazil: Farmers View of Economic and Environmental Performances. Agroecology and Sustainable Food Systems 38, 995-1014


Progress 10/01/12 to 09/30/13

Outputs
Target Audience: I was invited to present the results of my research on five separate occasions to diverse audiences ranging from academics and NGOs to the general public. I list here the presentation titles, dates and venues: Redefining Agricultural Efficiency. UVM Food Day and UVM Food Systems Initiative. October 21, 2013. University of Vermont, Burlington, VT Living Within the Bounds of the Natural World. Delivered at the workshop “How can we Influence Agriculture and Medicine in Achieving the Necessary Transition to a Dynamic - Resilient - Sustainable Future?” October 9, 2013 Mountain Sky Guest Ranch Emigrant, Montana Economics, Agriculture and Ecosystem Services in a Full and Unequal World. Gund Institute Seminar Series. April 18, 2013, UVM What Could a New Economy Look Like? Re-Imagining our Economic System: A Balanced and Sustainable Economy: A Michigan Perspective. Via interactive video network. March 26, 2013. Lansing, Michigan Economic Institutions for Sustainable, Just and Efficient Food System. OXFAM, Oxford, UK. March 4, 2013 Changes/Problems: Our major change concerns goal number 3:Explore the barriers to the adoption of alternative low-carbon agriculture on Vermont farms, and the potential for payments for ecosystem services and higher food prices to overcome them. In depth semi-structured interviews with Vermont farmers will assess their perceptions of the obstacles to adopting alternative agriculture as well as their participation in, knowledge of, and willingness to participate in PES schemes. Results will feed into an analysis of the nature of investments, public or private, that are most likely to promote alternative agriculture. We instead developed the alternative definition of economic efficiency previously described, which offers significant insights into the nature of investments required to promote sustainable agriculture. We may decide not to conduct the in depth semi-structured interviews with Vermont farmers. What opportunities for training and professional development has the project provided? One masters degree student has completed her thesis under this grant, and another is currently doing so. How have the results been disseminated to communities of interest? The research on redefining agricultural efficiency has been presented several times in workshops, seminars and conferences. Most of these presentations have led to additional invitations, and I have just agreed to give a keynote presentation on this research at the Local Food Summit in Ann Arbor on March 31. What do you plan to do during the next reporting period to accomplish the goals? We will complete the Bayesian neural network model to determine food production capacity (broken down into essential nutrients) and carbon emissions from local agriculture. We will also rely on the secondary literature to determine the carbon footprint of importing staple grains into Chittenden county. This will provide the necessary information for the linear programming model which we will use to model a food system compatible with 350 ppm atmospheric CO2 in our third year. I have also just been awarded a three year visiting professorship in Brazil focused on sustainable agriculture, and will apply several of the methods developed during this project to an agroecology project in Brazil. I am currently revising a journal article on the relationship between food production and ecosystem services with a focus on the economic efficiency component of the new definition of agricultural efficienc that we developed. This has been accepted pending revisions, and we will submit the revised version in February, 2014.

Impacts
What was accomplished under these goals? We are currently in the process of building a Bayesian neural network model for carbon footprints and food production in the Chittenden country foodshed. We have identified suitable data for soil, climate, vegetation and solar incidence. Though not initially listed as goals, we have also estimated how much food could be produced globally without surpassing the planetary boundaries identified by Rockstrom, J., et al. (2009). "A safe operating space for humanity." Nature 461(7263): 472-475. We found that with conventional agriculture it would likely be impossible to produce enough food to feed 7 billion people without surpassing the boundaries for carbon and nitrogen, and barely possible to do so without surpassing the boundary for phosphorous. Market systems that allocate food on the basis of willingess to pay rather than physiological need exacerbate this problem. We have used these results to develop a new definition for agricultural efficiency, which is the ratio between the population enjoying food security and the ecosystem services sacrificed in order to achieve it. We have then broken this definition down into an identity equation in which the components correspond to economic efficiency (i.e. the ratio of popluation enjoying food security to the quantity of food produced, which requires the allocation of resources towards the types of food that maximize food security, and the distribution of food to those with the greatest physiological need), technical efficiency (i.e. the ratio of food produced to resource inputs and waste outputs, together referred to as throughput) and ecological efficiency (minimizing the sacrifice of ecosystem services per unit of throughput). We believe that these results make a greater contribution to understanding the nature of investments required to promote sustainable agriculture than the original goal number 3.

Publications

  • Type: Journal Articles Status: Submitted Year Published: 2013 Citation: Farley, J., A. Schmitt, M. Burke, M. Farr, A. Aube. Extending market allocation to ecosystem services: moral and practical implications on a full and unequal planet. Ecological Economics
  • Type: Conference Papers and Presentations Status: Published Year Published: 2013 Citation: Farley, J., F. Hall, A. Krane, M. Mostaza (2013) Transitioning to a Steady State Burlington. US Society for Ecological Economics biennial conference, 9-12 June, Burlington, Vermont
  • Type: Theses/Dissertations Status: Published Year Published: 2013 Citation: Farr, Marigo (2013) An Alternative Analysis Of Global Supply And Demand For Food With Respect To Planetary And Social Boundaries (Masters thesis). University of Vermont. Burlington, VT
  • Type: Conference Papers and Presentations Status: Published Year Published: 2013 Citation: Farr, Marigo and J. Farley (2013) Reconciling Food Security With Ecosystem Health: Case Studies From Vermont and Santa Catarina, Brazil. US Society for Ecological Economics biennial conference, 9-12 June, Burlington, Vermont