Soil Carbon Reservoirs at High-Altitude Ecosystems in the Andean Plateau

Muñoz, María Ángeles; Faz, Ángel; Mermut, A. R.

doi:10.1007/978-3-319-12859-7_4

Cited by 7 publications

(5 citation statements)

References 78 publications

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“…Presentan valles y llanuras glaciales cubiertos por arbustos y bosques de bajo porte, el clima típico es tropical de alta montaña y los suelos más comunes son Andisoles, Entisoles, Inceptisoles e Histosoles (Morales et al 2007). La alta productividad primaria neta de las plantas y la baja tasa de mineralización de la materia orgánica, debido a bajas temperaturas, alta humedad de suelo y la reducida actividad microbiana, favorece la acumulación de COS (Wang et al 2010(Wang et al , 2013Munoz et al 2015).…”

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Estimation of organic carbon in paramo ecosystem soils in Colombia

Díaz

Delgado

Gamboa

et al. 2020

ECOS

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Los ecosistemas montañosos (en los cuales se encuentran los páramos) ocupan una quinta parte de la superficie terrestre, albergan el 25% de la biodiversidad del planeta y suministran agua de consumo para la población mundial. Se consideran estratégicos para el cambio climático por su relación con captura y almacenamiento de carbono. Con el objetivo de estimar el contenido de carbono orgánico en los primeros 30 cm de profundidad en los suelos (COS) de páramos de Colombia, y su relación con los factores ambientales mediante el mapeo digital de suelos; se tomaron 390 perfiles provenientes de los estudios semidetallados de suelos en un área de 1 469 980.1 ha (aproximadamente 1.3% del área nacional). La información de densidad aparente para calcular COS se estimó mediante funciones de pedotransferencia ajustadas con los datos disponibles. La técnica de modelado predictivo fue Random Forest (RF), usando 44 covariables ambientales como posibles predictores con información de clima, vegetación, relieve y ordenes de suelo. Este modelo fue evaluado mediante validación cruzada (R 2 = 0.48 -0.52). El contenido estimado de COS osciló entre 22 y 338 t.ha-1 , y sus mejores predictores son la cobertura y uso del suelo y las condiciones climáticas (temperatura y precipitación). El mapa de COS de páramos de Colombia (2013de Colombia ( -2016 establece una línea base de este indicador para el ecosistema, brinda un panorama de la susceptibilidad a la degradación de los suelos, y sirve de apoyo para la planificación del territorio.

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Estimation of organic carbon in paramo ecosystem soils in Colombia

Díaz

Delgado

Gamboa

et al. 2020

ECOS

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“…Mountainous ecosystems are Fragile [35] and more susceptible to climate change [36,37]. Most of the global biological diversity hotspots are located in mountainous and coastal regions.…”

Section: Climate Change Impact On Mountain Biodiversitymentioning

confidence: 99%

Climate Change Impact on Mountain Biodiversity: A Special Reference to Gilgit-Baltistan of Pakistan

et al. 2016

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Climate Change is not a stationary phenomenon; it moves from time to time, it represents a major threat to mountainous biodiversity and to ecosystem integrity. The present study is an attempt to identify the current knowledge gap and the effects of climate change on mountainous biodiversity, a special reference to the Gilgit-Baltistan is briefly reviewed. Measuring the impact of climate change on mountain biodiversity is quite challenging, because climate change interacts with every phenomenon of ecosystem. The scale of this change is so large and very adverse so strongly connected to ecosystem services, and all communities who use natural resources. This study aims to provide the evidences on the basis of previous literature, in particular context to mountain biodiversity of Gilgit-Baltistan (GB). Mountains of Gilgit-Baltistan have most fragile ecosystem and are more vulnerable to climate change. These mountains host variety of wild fauna and flora, with many endangered species of the world. There are still many gaps in our knowledge of literature we studied because very little research has been conducted in Gilgit-Baltistan about climate change particular to biodiversity. Recommendations are made for increased research efforts in future this including jointly monitoring programs, climate change models and ecological research. Understanding the impact of climate change particular to biodiversity of GB is very important for sustainable management of these natural resources. The Government organizations, NGOs and the research agencies must fill the knowledge gap, so that it will help them for policy making, which will be based on scientific findings and research based.

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“…At the local scale, they contribute to a significant proportion of primary productivity, maintain vertebrate populations, and regulate hydrological resources, which are relevant in human life as well as for wild and domestic animals (Izquierdo et al, 2018). Globally, they contribute to climate regulation since they are important carbon reservoirs (Chiappero et al, 2021;Izquierdo et al, 2018;Munoz et al, 2015) and they are an appreciated tourist resource for their scenic beauty (Izquierdo et al, 2018;Troncoso, 2018). The functioning of these key ecosystems in the high elevation desert of the Puna ecoregion is the result of a complex interaction network among topographic, hydrological and biological factors (Izquierdo et al, 2015(Izquierdo et al, , 2016Squeo et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Floristic types of high‐Andean wetlands from northwest Argentina and their remote‐sensed characterization at a regional scale

Izquierdo

Blundo

Carilla

et al. 2022

Applied Vegetation Science

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Aims: High-Andean vegas are key functional wetlands in the Puna ecoregion. Plant communities in combination with ecogeographic characteristics determine their functional processes. In this study, we identified groups of vegas based on their plant composition and characterized these groups with spatial and spectral variables representing their ecogeographic context.Location: Argentine Puna and High-Andean ecoregions. Methods:We recorded the species composition and cover of plants in 50 vegas distributed along a ecogeographic gradient. We calculated six spatial and 14 spectral variables for each vega. We performed a correspondence analysis (CA) to explore species data and used the site's scores in a k-means analysis to identify groups of vegas.Then, we characterized each group of vegas with spatial and spectral variables with the v.test using the 'catdes' function in the FactoMineR package. Results:The CA showed five groups of vegas segregated by the plant species composition. Each group was related to different spatial and spectral variables showing an ecogeographic gradient. Vegas with Poaceas were located at higher altitude and lower latitude and longitude (Group 1, Festuca nardifolia and Deschampsia hackelii). Vegas dominated by cushion species had higher humidity (Group 2, Oxychloe andina), and higher and more stable productivity (Group 3, Eleocharis pseudoalbibracteata), while vegas with halophytic species were associated with a larger area, higher salinity, and lower humidity (Group 4, Amphiscirpus nevadensis), and lower productivity (Group 5, Lycium humile and Salicornia pulvinata). Conclusions:Our results are the first floristic classification and remote-sensing characterization of high-Andean vegas at a regional scale. This information shows the variation of these ecosystems and suggests that remote sensing, complemented with field information, could help to identify types of vegas at regional scales. This information is relevant for land planning and sustainable management of these key ecosystems in the context of threats of global change.

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Soil Carbon Reservoirs at High-Altitude Ecosystems in the Andean Plateau

Cited by 7 publications

References 78 publications

Estimation of organic carbon in paramo ecosystem soils in Colombia

Estimation of organic carbon in paramo ecosystem soils in Colombia

Climate Change Impact on Mountain Biodiversity: A Special Reference to Gilgit-Baltistan of Pakistan

Floristic types of high‐Andean wetlands from northwest Argentina and their remote‐sensed characterization at a regional scale

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