Potencial de almacenamiento de carbono en áreas forestales en un sistema ganadero

Aryal, Deb Raj; Castro, Heriberto Gómez; García, Neftalí del Carmen; Ruiz, Octavio de Jesús José; Paniagua, Luis Fernando Molina; Trujillo, José Antonio Jiménez; Venegas, José Apolonio Venegas; Ruíz, René Pinto; Coss, Alejandro Ley de; Hernández, Francisco Guevara

doi:10.29298/rmcf.v8i48.184

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…The litter stock and accumulation model was previously validated with measured litter stock data for local Mexico's forests (Renteria et al, 2005;Acosta-Mireles, 2003;Rodríguez-Laguna et al, 2009;Mendoza-Ponce & Galicia, 2010;Aryal et al, 2018;Caballero-Cruz et al, 2018) North American (Kohl et al, 2015) and World (Kohl et al, 2015) temperate forests (Figure 8).…”

Section: Proposed New Modelsmentioning

confidence: 91%

Modeling Forest Wildfires at regional scales

et al. 2023

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Este artículo tiene por objetivos: (i) presentar, (ii) probar y (iii) validar un conjunto de técnicas matemáticas para predecir el número de incendios (No), la superficie incendiada (A), y la superficie promedio incendiada (AM), en bases anuales a escalas regionales. Una fuente de datos extensa proveniente de los bosques de coníferas de Durango se usó para ajustar (1970-2011) y validar (2012-2016) las técnicas de modelaje. La mayoría de los modelos probabilísticos y estocásticos explican menos del 70% de la varianza de los incendios. Sin embargo, el método de teleconecciones que emplea variables a escala oceánica y a escala local del hidroclima aumentó el nivel de precisión hasta cerca del 80% de la varianza total para ambas bases de datos. Los resultados muestran la complejidad de los factores que interactúan, incluyendo los procesos estocásticos y los físicos que hacen que las técnicas de predicción sean modificadas substancialmente. Por estas razones, se propone un modelo más físicamente basado y también un modelo conceptual más comprensivo. El modelo conceptual requiere del uso de todas las técnicas presentadas en este reporte, incluyendo los modelos probabilísticos, estocásticos y físicos en la parameterización de los diferentes submodelos. El uso del modelo conceptual además de sus técnicas de simulación Monte Carlo extraerían los escenarios futuros mas probables en la predicción del riesgo de incendios forestales severos en bosques templados del mundo.

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Section: Proposed New Modelsmentioning

confidence: 91%

Modeling Forest Wildfires at regional scales

et al. 2023

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“…Live fences, fodder banks, scattered trees on pasturelands, and tree plantation at higher densities are some examples of common silvopastoral systems that increase carbon sequestration [17,66,75,76]. Sparing part of the land area for forest plantation also increases carbon stocks within the livestock production units [77]. In Chilean Patagonia, the net SOC input was 0.15 Mg C ha −1 year −1 in a silvopastoral system compared to 0.09 Mg C ha −1 year −1 in treeless grazing lands [78].…”

Section: Management Recommendations For Carbon Stock Enhancement In Tmentioning

confidence: 99%

“…In addition to different agroforestry arrangements and grassland management practices, use of forest management practices on spare land (like planting trees on riparian areas, along the corridors and pastureland margins, and contour planting on the slope lands) within the farm unit can significantly increase the carbon stocks of tropical livestock systems [77,86]. Carbon sequestration in tropical pasturelands can significantly offset non-CO 2 GHG emissions linked to livestock production, which seems urgent to achieve the 2 • C global warming target limit as accorded in the Paris Agreement [87].…”

Section: Management Recommendations For Carbon Stock Enhancement In Tmentioning

confidence: 99%

Soil Organic Carbon Depletion from Forests to Grasslands Conversion in Mexico: A Review

et al. 2018

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Land use change from forests to grazing lands is one of the important sources of greenhouse gas emissions in many parts of the tropics. The objective of this study was to analyze the extent of soil organic carbon (SOC) loss from the conversion of native forests to pasturelands in Mexico. We analyzed 66 sets of published research data with simultaneous measurements of soil organic carbon stocks between native forests and pasturelands in Mexico. We used a generalized linear mixed effect model to evaluate the effect of land use change (forest versus pasture), soil depth, and original native forest types. The model showed that there was a significant reduction in SOC stocks due to the conversion of native forests to pasturelands. The median loss of SOC ranged from 31.6% to 52.0% depending upon the soil depth. The highest loss was observed in tropical mangrove forests followed by highland tropical forests and humid tropical forests. Higher loss was detected in upper soil horizon (0–30 cm) compared to deeper horizons. The emissions of CO2 from SOC loss ranged from 46.7 to 165.5 Mg CO2 eq. ha−1 depending upon the type of original native forests. In this paper, we also discuss the effect that agroforestry practices such as silvopastoral arrangements and other management practices like rotational grazing, soil erosion control, and soil nutrient management can have in enhancing SOC stocks in tropical grasslands. The results on the degree of carbon loss can have strong implications in adopting appropriate management decisions that recover or retain carbon stocks in biomass and soils of tropical livestock production systems.

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Silvopastoral systems and remnant forests enhance carbon storage in livestock-dominated landscapes in Mexico

Aryal

Morales-Ruiz

López-Cruz

et al. 2022

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A large area of the terrestrial land surface is used for livestock grazing. Trees on grazing lands provide and can enhance multiple ecosystem services such as provisioning, cultural and regulating, that include carbon sequestration. In this study, we assessed the above- and belowground carbon stocks across six different land-uses in livestock-dominated landscapes of Mexico. We measured tree biomass and soil organic carbon (SOC) stocks in fodder banks, live fences, pasturelands with dispersed trees, secondary forests, and primary forests from three different geographical regions and compared them with conventional open pasturelands respectively. We also calculated tree diversity indices for each land-use and their similarity with native primary forests. The aboveground woody biomass stocks differed significantly between land-uses and followed the gradient from less diverse conventional open pasturelands to silvopastoral systems and ecologically complex primary forests. The SOC stocks showed a differential response to the land-use gradient dependent on the study region. Multivariate analyses showed that woody biomass, fine root biomass, and SOC concentrations were positively related, while land-use history and soil bulk density showed an inverse relationship to these variables. Silvopastoral systems and forest remnants stored 27–163% more carbon compared to open pasturelands. Our results demonstrate the importance of promoting appropriate silvopastoral systems and conserving forest remnants within livestock-dominated landscapes as a land-based carbon mitigation strategy. Furthermore, our findings also have important implications to help better manage livestock-dominated landscapes and minimize pressures on natural protected areas and biodiversity in the hotspots of deforestation for grassland expansion.

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Potencial de almacenamiento de carbono en áreas forestales en un sistema ganadero

Cited by 4 publications

References 22 publications

Modeling Forest Wildfires at regional scales

Modeling Forest Wildfires at regional scales

Soil Organic Carbon Depletion from Forests to Grasslands Conversion in Mexico: A Review

Silvopastoral systems and remnant forests enhance carbon storage in livestock-dominated landscapes in Mexico

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