Sonja Brodt

A Systems Perspective on the Conservation and Erosion of Indigenous Agricultural Knowledge in Central India

Many scholars are concerned that globalization and “scientization” of local management systems threatens the survival of valuable indigenous knowledge of agriculture and agroforestry. This paper addresses such concerns by drawing on a field study of knowledge about tree and crop cultivation in central India to examine dynamics of knowledge system change. It uses concepts from systems studies, including hierarchy, adaptability, connectedness, and scale, to show how parts of indigenous knowledge systems might be more likely to be lost or preserved under various socio-economic circumstances. It then suggests some concrete lessons for those interested in conserving indigenous knowledge: that knowledge is best conserved in situ; that concepts can be more important to communicate and preserve than mere facts or practices; that researchers might identify those parts of a knowledge system most in need of conservation attention; and that technical innovation might allow local-scale indigenous knowledge to interface more effectively with large-scale global technologies.

Factors affecting adoption of hedgerows and other biodiversity-enhancing features on farms in California, USA

Although hedgerows, windbreaks, and other biodiversity-enhancing farm edge features offer the potential for ecosystem benefits without occupying much crop space, relatively few farms in California, USA include such features. Our study identified the practices currently used to manage non-cropped edges of fields, ponds, and watercourses in a case study area in California. We also identified social, economic, and agronomic incentives and constraints to installing biodiversity-enhancing edge features. More than one-third of the study farmers had installed native hedgerows, windbreaks, and/or grassed edges. Interviews demonstrated the importance of socially influential farmers working in tandem with public and private agencies to build initial interest in these practices. However, these features occupied less than four percent of all possible edge length. Constraints to increasing adoption included high costs, fear of harbouring weeds and rodents, and lack of certainty about ecosystems benefits, highlighting the need for cost-share programs and more regionally-focused agroecological research.

Interactions of formal and informal knowledge systems in village-based tree management in central India

This study critiques the idea of a “Western science -- indigenous knowledge” dichotomy in agricultural knowledge by examining the hybrid nature of knowledge use and incorporation by villagers in Madhya Pradesh, India. By analyzing knowledge systems as multi-leveled structures consisting of concrete practices linked to more abstract, explanatory concepts, this paper illustrates how information from multiple sources is integrated into local bodies of knowledge about tree management. Practices such as urea fertilization from formal global science might be explained by concepts such as that of a hot/cold duality from informal folk science. Similarly, other pieces of knowledge stemming from diverse knowledge systems are shown to become mixed and matched on practical and conceptual levels. Additionally, several knowledge elements used locally appear to be held in common by many knowledge systems around the world, rendering the determination of their origins in one system or another nearly impossible. These observations lead to the conclusion that local knowledge systems of tree management are better characterized as “open” systems rather than distinct, “closed” systems. Furthermore, the constant exchange of material between formal and informal, local and global systems renders untenable any strict dichotomy of knowledge systems.

Life Cycle–Based Assessment of Energy Use and Greenhouse Gas Emissions in Almond Production, Part I: Analytical Framework and Baseline Results

This first article of a two‐article series describes a framework and life cycle–based model for typical almond orchard production systems for California, where more than 80% of commercial almonds on the world market are produced. The comprehensive, multiyear, life cycle–based model includes orchard establishment and removal; field operations and inputs; emissions from orchard soils; and transport and utilization of co‐products. These processes are analyzed to yield a life cycle inventory of energy use, greenhouse gas (GHG) emissions, criteria air pollutants, and direct water use from field to factory gate. Results show that 1 kilogram (kg) of raw almonds and associated co‐products of hulls, shells, and woody biomass require 35 megajoules (MJ) of energy and result in 1.6 kg carbon dioxide equivalent (CO‐eq) of GHG emissions. Nitrogen fertilizer and irrigation water are the dominant causes of both energy use and GHG emissions. Co‐product credits play an important role in estimating the life cycle environmental impacts attributable to almonds alone; using displacement methods results in net energy and emissions of 29 MJ and 0.9 kg CO‐eq/kg. The largest sources of credits are from orchard biomass and shells used in electricity generation, which are modeled as displacing average California electricity. Using economic allocation methods produces significantly different results; 1 kg of almonds is responsible for 33 MJ of energy and 1.5 kg CO‐eq emissions. Uncertainty analysis of important parameters and assumptions, as well as temporary carbon storage in orchard trees and soils, are explored in the second article of this two‐part article series.

Life Cycle–based Assessment of Energy Use and Greenhouse Gas Emissions in Almond Production, Part II: Uncertainty Analysis through Sensitivity Analysis and Scenario Testing

This is the second part of a two‐article series examining California almond production. The part I article describes development of the analytical framework and life cycle–based model and presents typical energy use and greenhouse gas (GHG) emissions for California almonds. This part II article builds on this by exploring uncertainty in the life cycle model through sensitivity and scenario analysis, and by examining temporary carbon storage in the orchard. Sensitivity analysis shows life cycle GHG emissions are most affected by biomass fate and utilization, followed by nitrous oxide emissions rates from orchard soils. Model sensitivity for net energy consumption is highest for irrigation system parameters, followed by biomass fate and utilization. Scenario analysis shows utilization of orchard biomass for electricity production has the greatest potential effect, assuming displacement methods are used for co‐product allocation. Results of the scenario analysis show that 1 kilogram (kg) of almond kernel and associated co‐products are estimated to cause between −3.12 to 2.67 kg carbon dioxide equivalent (CO‐eq) emissions and consume between 27.6 to 52.5 megajoules (MJ) of energy. Co‐product displacement credits lead to avoided emissions of between −1.33 to 2.45 kg CO‐eq and between −0.08 to 13.7 MJ of avoided energy use, leading to net results of −1.39 to 3.99 kg CO‐eq and 15.3 to 52.6 MJ per kg kernel (net results are calculated by subtracting co‐product credits from the results for almonds and co‐products). Temporary carbon storage in orchard biomass and soils is accounted for by using alternative global warming characterization factors and leads to a 14% to 18% reduction in CO‐eq emissions. Future studies of orchards and other perennial cropping systems should likely consider temporary carbon storage.

Sustainable Sourcing of Global Agricultural Raw Materials: Assessing Gaps in Key Impact and Vulnerability Issues and Indicators.

Understanding how to source agricultural raw materials sustainably is challenging in today’s globalized food system given the variety of issues to be considered and the multitude of suggested indicators for representing these issues. Furthermore, stakeholders in the global food system both impact these issues and are themselves vulnerable to these issues, an important duality that is often implied but not explicitly described. The attention given to these issues and conceptual frameworks varies greatly—depending largely on the stakeholder perspective—as does the set of indicators developed to measure them. To better structure these complex relationships and assess any gaps, we collate a comprehensive list of sustainability issues and a database of sustainability indicators to represent them. To assure a breadth of inclusion, the issues are pulled from the following three perspectives: major global sustainability assessments, sustainability communications from global food companies, and conceptual frameworks of sustainable livelihoods from academic publications. These terms are integrated across perspectives using a common vocabulary, classified by their relevance to impacts and vulnerabilities, and categorized into groups by economic, environmental, physical, human, social, and political characteristics. These issues are then associated with over 2,000 sustainability indicators gathered from existing sources. A gap analysis is then performed to determine if particular issues and issue groups are over or underrepresented. This process results in 44 “integrated” issues—24 impact issues and 36 vulnerability issues —that are composed of 318 “component” issues. The gap analysis shows that although every integrated issue is mentioned at least 40% of the time across perspectives, no issue is mentioned more than 70% of the time. A few issues infrequently mentioned across perspectives also have relatively few indicators available to fully represent them. Issues in the impact framework generally have fewer gaps than those in the vulnerability framework.

Indicators of global sustainable sourcing as a set covering problem: an integrated approach to sustainability

Abstract Sustainability describes a broad set of themes centered on current human uses of the planet’s resources. The multiple uses and users of the term have led to a proliferation of salient issues and associated indicators. We present a new method to systematically link these issues and indicators under two conceptual frameworks of sustainability in order to enable quantitative analyses. We demonstrate this approach with a specific use case focused on the global sourcing of agricultural products. We use the optimization software Marxan in a novel way to develop minimum sets of indicators that provide maximum coverage of sustainability issues. Minimum covering sets were identified and accumulation curves were developed to measure the contribution of each indicator in each set to overall issues coverage. While greater detail in the assessment of each indicator would likely provide more effective sets of indicators, those that were generated provide optimism that this approach can bring better focus to sustainability assessments.