TY - JOUR
T1 - Integrating Social-Ecological and Political-Ecological Models of Agrobiodiversity With Nutrient Management of Keystone Food Spaces to Support SDG 2
AU - Zimmerer, Karl S.
AU - Jones, Andrew D.
AU - de Haan, Stef
AU - Creed-Kanashiro, Hilary
AU - Tubbeh, Ramzi M.
AU - Hultquist, Carolynne
AU - Tello Villavicencio, Milka N.
AU - Plasencia Amaya, Franklin
AU - Nguyen, Kien Tri
N1 - Funding Information:
The Carasso Foundation funded the main field component of research in Peru (2015–2018). Additional funding was provided through the E. Willard and Ruby S. Miller Professor of Geography designation (2019–2022). Earlier versions of this work were presented to the following: Universidad Nacional Hermilio Valdizan (UNHEVAL) in Huánuco, Peru (2018), the Global Land Project Meeting in Bern, Switzerland (2018), American Association of Geographers annual meeting (2018), Harlan 3 Agrobiodiversity Conference in Montpellier, France (2019), Conference of Latin Americanist Geographers (CLAG Live, 2021), and the annual gathering of the Andean Community of Practice of the McKnight Foundation (2021). Numerous colleagues both in and apart from these meetings, the members of the GeoSyntheSES Lab, and the reviewers and special-issue editors of the journal provided helpful inputs that have been incorporated.
Funding Information:
This study was supported by the Daniel and Nina Carasso Foundation (00062696).
Publisher Copyright:
Copyright © 2022 Zimmerer, Jones, de Haan, Creed-Kanashiro, Tubbeh, Hultquist, Tello Villavicencio, Plasencia Amaya and Nguyen.
PY - 2022/3/31
Y1 - 2022/3/31
N2 - Agrobiodiversity—the biodiversity of food, agriculture, and land use—is essential to U.N. Sustainable Development Goal 2 by providing crucial food and nutritional quality of diets combined with strengthening agroecological sustainability. Focusing on the agrobiodiversity nexus to SDG 2, the current study utilized the interdisciplinary Agrobiodiversity Knowledge Framework (AKF), household-level surveys, and biodiversity sampling of crop fields and home gardens in a case study in Huánuco, Peru, in 2017. Statistical measures estimated agrobiodiversity of crop fields (n = 268 households) and home gardens (n=159 households) based on species richness (3.7 and 10.2 species/household, in fields and gardens, respectively) and evenness (Shannon diversity index; 0.70 and 1.83 in fields and gardens, respectively). Robust results of Poisson and OLS regression models identified several AKF-guided determinants of agrobiodiversity. Estimated species richness and evenness were significantly associated with 12 social-ecological and political-ecological factors from the four AKF thematic axes: farm characteristics and agroecology; diets and nutrition; markets, governance and sociocultural practices; and global change. This study's AKF approach, agrobiodiversity modeling, agroecological characterization, and field-based case study advanced a series of useful research insights, comparisons, and conceptual innovations to address SDG 2. Characterization of nutrient management through soil- and plant-focused cultural practices and livelihood roles distinguished the “keystone agrobiodiversity-and-food space” of multi-species maize fields (maizales) identified in AKF regression and characterization results. This key space furnished crucial food-nutrition and agroecological benefits that can be expanded by overcoming identified barriers. AKF-guided models incorporating key agrobiodiversity-and-food spaces and ecological nutrient management are needed to strengthen SDG 2 strategies.
AB - Agrobiodiversity—the biodiversity of food, agriculture, and land use—is essential to U.N. Sustainable Development Goal 2 by providing crucial food and nutritional quality of diets combined with strengthening agroecological sustainability. Focusing on the agrobiodiversity nexus to SDG 2, the current study utilized the interdisciplinary Agrobiodiversity Knowledge Framework (AKF), household-level surveys, and biodiversity sampling of crop fields and home gardens in a case study in Huánuco, Peru, in 2017. Statistical measures estimated agrobiodiversity of crop fields (n = 268 households) and home gardens (n=159 households) based on species richness (3.7 and 10.2 species/household, in fields and gardens, respectively) and evenness (Shannon diversity index; 0.70 and 1.83 in fields and gardens, respectively). Robust results of Poisson and OLS regression models identified several AKF-guided determinants of agrobiodiversity. Estimated species richness and evenness were significantly associated with 12 social-ecological and political-ecological factors from the four AKF thematic axes: farm characteristics and agroecology; diets and nutrition; markets, governance and sociocultural practices; and global change. This study's AKF approach, agrobiodiversity modeling, agroecological characterization, and field-based case study advanced a series of useful research insights, comparisons, and conceptual innovations to address SDG 2. Characterization of nutrient management through soil- and plant-focused cultural practices and livelihood roles distinguished the “keystone agrobiodiversity-and-food space” of multi-species maize fields (maizales) identified in AKF regression and characterization results. This key space furnished crucial food-nutrition and agroecological benefits that can be expanded by overcoming identified barriers. AKF-guided models incorporating key agrobiodiversity-and-food spaces and ecological nutrient management are needed to strengthen SDG 2 strategies.
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U2 - 10.3389/fsufs.2022.734943
DO - 10.3389/fsufs.2022.734943
M3 - Article
AN - SCOPUS:85128546023
SN - 2571-581X
VL - 6
JO - Frontiers in Sustainable Food Systems
JF - Frontiers in Sustainable Food Systems
M1 - 734943
ER -