Spatial Distribution of Soil Organic Carbon in Relation to Land Use, Based on the Weighted Overlay Technique in the High Andean Ecosystem of Puno—Peru

Daniel Canaza, Elmer Calizaya (), Walter Chambi, Fredy Calizaya, Carmen Mindani, Osmar Cuentas, Cirilo Caira and Walquer Huacani
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Daniel Canaza: Facultad de Ciencias Agrarias, Escuela Profesional de Ingeniería Agronómica, Universidad Nacional del Altiplano, Puno 21001, Peru
Elmer Calizaya: Facultad de Ciencias Agrarias, Escuela Profesional de Ingeniería Topográfica y Agrimensura, Universidad Nacional del Altiplano, Puno 21001, Peru
Walter Chambi: Facultad de Ciencias Agrarias, Escuela Profesional de Ingeniería Agronómica, Universidad Nacional del Altiplano, Puno 21001, Peru
Fredy Calizaya: Facultad de Ciencias Agrarias, Escuela Profesional de Ingeniería Agronómica, Universidad Nacional del Altiplano, Puno 21001, Peru
Carmen Mindani: Facultad de Industrias Alimentarias, Universidad Nacional Agraria La Molina, Av. La Molina s/n, Lima 15024, Peru
Osmar Cuentas: Escuela Profesional de Ingeniería Civil, Grupo de Investigación en Ingeniería Civil, Universidad Nacional de Moquegua, Moquegua 18001, Peru
Cirilo Caira: Facultad de Ingeniería, Escuela Profesional Ingeniería Forestales y Ambiental, Universidad Nacional de Jaén, Cajamarca 034, Peru
Walquer Huacani: Carrera Profesional de Ingeniería de Minas, Universidad Nacional Micaela Bastidas de Apurímac, Abancay 03001, Peru

Sustainability, 2023, vol. 15, issue 13, 1-20

Abstract: Soil organic carbon (SOC) is a crucial component of the planet and is essential for agriculture development. Our region is known for its livestock and agricultural activities. Hence, understanding the spatial distribution of SOC is crucial for sustainable land management of soils in the mountain ecosystems in the Andes. The methodology consisted of obtaining 53 soil samples from depths of 0 to 105 cm, which were analyzed to obtain SOC (Kg/m 2 ) and organic matter (OM) (%). Ordinary kriging, a geostatistical method, was used to determine SOC. Pearson’s statistical method was applied to determine the association between SOC and precipitation, temperature, altitude, and organic matter and gave acceptable correlations of 0.38, −0.32, 0.40, and 0.59. These results were used to apply weighting criteria for climatological and environmental variables. The weighted overlay tool was used for modeling and mapping the spatial variability of SOC. The estimated spatial distribution of SOC in the micro-watershed reveals an increasing trend from south to north, specifically within the 0–20 cm depth profile. The study confirmed through the spatial analysis that regions with intensive agriculture have low reserves (<3 Kg/m 2 ) of SOC, and areas without agricultural activity but with grazing have average resources of 3 Kg/m 2 to 5 Kg/m 2 of SOC. Finally, in the upper micro-watersheds where there is no agricultural activity, the reserves are high (5 Kg/m 2 to 6.8 Kg/m 2 ). Accordingly, we can promote sustainable and responsible land use practices that support long-term productivity, environmental protection, and societal well-being by prioritizing efficient land utilization, soil conservation, biodiversity conservation, land restoration, and informed land use planning in the high Andean ecosystem of Puno–Peru.

Keywords: SOC; geostatistical; weighted overlay; spatial distribution; climate data; land use; Andean ecosystem (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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