Indicating soil quality in cacao-based agroforestry systems and old-growth forests: The potential of soil macrofauna assemblage
Rousseau, G.X. | Deheuvels, Olivier | Rodriguez Arias, I. | Somarriba, E. | Universidade Estadual do Maranhão = State University of Maranhão (UEMA) | Fonctionnement et conduite des Systèmes de culture Tropicaux et Méditerranéens ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) | Asociación de Desarrollo Integral de la Reserva Indígena Bribri de Talamanca ; Partenaires INRAE | Centro Agronomico Tropical de Investigacion y Enseñanza (CATIE)
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Показать больше [+] Меньше [-]Английский. Soil quality or health is a fuzzy concept that has been vigorously criticized due to the extreme variability of soil and the difficulty of linking soil indicators to soil functions and sustainability. In most soil quality studies some obvious factors or typologies are used as a basis to select the “best indicators” of soil quality, i.e. those that best explain the differences among the plots under study. This is not the case for a variety of natural or agroecosystems including the Talamanca cacaobased agroforestry systems (AFS), which present neither a preestablished typology nor a clear framework to evaluate their soil quality. This situation required a selection of indicators based on the literature that was oriented by the nonequilibrium thermodynamic theory. A framework was elaborated through full and minimum indicator sets of baseline soil physical and chemical indicators, along with macrofauna groups. A minimum set of four wellaccepted abiotic soil quality indicators (bulk density, sum of bases, pH and carbon) was able to separate cacao AFS plots and forests into five distinct clusters along a lowtohigh “soil quality” gradient. The AFS rated as “good” soil quality did not differ from the forest. Abundances of selected macrofauna groups were well correlated with these indicators and helped elucidate the soil quality clusters identified. In particular, high predator abundance indicated proper energy flow and confirmed the high abiotic soil quality, thus confirming the potential of macrofauna groups as apt soil quality indicators. However, these indicators need to be tailored to local conditions. Consequentially, cacaobased AFS in Talamanca are able to conserve soil and provide a high level of soilrelated ecological services. Considering the soil an open system where the nonequilibrium thermodynamic theory applies successfully guided indicator selection and could help to reformulate the soil quality definition.
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