2018
DOI: 10.1111/avsc.12381
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Non‐destructive allometric estimates of above‐ground and below‐ground biomass of high‐mountain vegetation in the Andes

Abstract: Aim: Studies that monitor high-mountain vegetation, such as paramo grasslands in the Andes, lack non-destructive biomass estimation methods. We aimed to develop and apply allometric models for above-ground, below-ground and total biomass of paramo plants. Location:The paramo of southern Colombia between 1°09′N and 077°50′W, at 3,400 and 3,700 m a.s.l. Methods:We established 61 1-m 2 plots at random locations, excluding disturbed, inaccessible and peat bog areas. We measured heights and basal diameters of all v… Show more

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Cited by 13 publications
(8 citation statements)
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“…The minimum package should FIGURE 2 Conceptual diagram in which integrated monitoring is understood as monitoring that explicitly combines analyses on multiple spatial scales, across the ecosystems that make up the high Andean belt, and that applies a socioecological, transdisciplinary approach. MountainAgenda consider the main ecosystem compartments, including aboveground plant diversity or biomass, necromass, and soil organic matter (Chapin et al 2002;Osinaga et al 2014;IDEAM 2017b;Cabrera et al 2018). Measurements of soil water content could be combined with more detailed studies in some sites of water interception, infiltration, runoff, and evapotranspiration (eg Ataroff and Rada 2000).…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…The minimum package should FIGURE 2 Conceptual diagram in which integrated monitoring is understood as monitoring that explicitly combines analyses on multiple spatial scales, across the ecosystems that make up the high Andean belt, and that applies a socioecological, transdisciplinary approach. MountainAgenda consider the main ecosystem compartments, including aboveground plant diversity or biomass, necromass, and soil organic matter (Chapin et al 2002;Osinaga et al 2014;IDEAM 2017b;Cabrera et al 2018). Measurements of soil water content could be combined with more detailed studies in some sites of water interception, infiltration, runoff, and evapotranspiration (eg Ataroff and Rada 2000).…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…Available information usually refers to specific areas and locations and statistics are made at a local level to estimate population, cultivated land and crops, livestock species, and production systems [2]. From an environmental and ecological point of view the Páramo landscapes of the study area provide ecosystem services mainly related to biodiversity [15,24], collection and water supply [9,12] and among the anthropic activities typical of these Colombian ecosystems, the dual purpose cattle ranching [6,20], while ecotourism is also affirmed [14,25] (Figure 3). Economic activities of local products are mainly oriented towards local markets, to emergent markets in periods of increasing population and to city markets.…”
Section: Area Of Studymentioning
confidence: 99%
“…It seems quite clear that is not possible to describe Páramos using only vegetation and altitude characteristics, but they also have to be considered a socioecosystem with biogeophysical, ecological, socioeconomic and cultural factors [5]. Despite the variety of ES offered by Páramos, all the studies highlights two main features representing the central axis of their environmental role: (i) Water: management of water resources through collection, regulation, and supply [12][13][14], (ii) Carbon: storage and uptake of atmospheric carbon through the retention of organic matter in the soil [1,15,16]. Looking at the perception of the local populations the role of water provision and food production are the most relevant ones [17].…”
Section: Introductionmentioning
confidence: 99%
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“…Nevertheless, a number of factors such as sample size, weather, complexity of biophysical settings, study area scale, software, or spatial resolution can induce uncertainty of remote-sensed estimation [11][12][13][14][15]. Allometric methods allow implementation of parallel cost-effective non-destructive estimation of plant biomass units [16][17][18][19][20][21][22][23][24]. However, this approach is not also problem-free.…”
Section: Introductionmentioning
confidence: 99%