Agroecosystem patterns and land management co-develop through environment, management, and land-use interactions

A poor understanding of the interactions between biophysical and social elements within rural mountainous landscapes can lead to suboptimal management and recommendations. The objective of this study was to contribute to more contextualized natural resource management in a rural landscape in the Ecu...

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Detalles Bibliográficos
Autores: Caulfield, Mark E., Fonte, Steven J., Groot, Jeroen C.J., Vanek, Steven J., Sherwood, Stephen, Oyarzun, Pedro, Borja, Ross Mary, Dumble, Sam, Tittonell, Pablo Adrian
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Argentina
Institución:Instituto Nacional de Tecnología Agropecuaria
Repositorio:INTA Digital (INTA)
Idioma:inglés
OAI Identifier:oai:localhost:20.500.12123/7486
Acceso en línea:http://hdl.handle.net/20.500.12123/7486
https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecs2.3113
https://doi.org/10.1002/ecs2.3113
Access Level:acceso abierto
Palabra clave:Manejo de Fincas
Recursos Naturales
Ordenación de Recursos Naturales
Carbono Orgánico del Suelo
Farm Management
Natural Resources
Natural Resources Management
Soil Organic Carbon
Sistemas Socioecológicos
Descripción
Sumario:A poor understanding of the interactions between biophysical and social elements within rural mountainous landscapes can lead to suboptimal management and recommendations. The objective of this study was to contribute to more contextualized natural resource management in a rural landscape in the Ecuadorian Andes by (1) identifying biophysical patterns in soil properties, biodiversity, and C stocks that emerge from natural landscape pedogenic processes, resulting from elevation-induced climate gradients, erosion and soil textural patterns, and (2) assessing farm management and land-use effects on and their interactions with these biophysical patterns. Our findings revealed that the climate and soil texture gradients within the landscape led to an exponential increase in SOC with elevation moderated by slope gradient, indicating significant erosion processes. Farmers adapted their farm management according to the observed environmental patterns creating three distinct management zones. Differentiated agricultural management in these zones and asymmetrical distribution of land-uses in turn were observed to significantly influence soil and agroecosystem properties. For example, available P was found to be significantly higher in the upper and middle agricultural management zones (24.0 and 28.7 mg/kg, respectively), where agricultural inputs were higher compared to the lower agricultural management zone (8.9 mg/kg, P < 0.001). Mixed hedgerows, on the other hand, displayed significantly higher Shannon index scores for ground vegetation (1.8) and soil macrofauna (2.0) compared to agricultural land-uses (1.0 and 1.7). Our results provide important insights into how agroecosystem patterns and land management co-developed through complex environment, management, and land-use interactions.