2023
DOI: 10.1016/j.tfp.2023.100377
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Allometric models for aboveground biomass estimation of small trees and shrubs in African savanna ecosystems

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Cited by 9 publications
(5 citation statements)
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“…The leaves, stems, small branches, and roots were separated from each harvested plant. In the case of very small individuals, the stem and small branches were considered as one part [19]. The fresh biomass of each component was weighed separately.…”
Section: Laboratory Analysismentioning
confidence: 99%
“…The leaves, stems, small branches, and roots were separated from each harvested plant. In the case of very small individuals, the stem and small branches were considered as one part [19]. The fresh biomass of each component was weighed separately.…”
Section: Laboratory Analysismentioning
confidence: 99%
“…AGB across savannas is quantified by field measurements, which typically involve allometric equations [10,11]. However, few allometric equations exist for savannas.…”
Section: Introductionmentioning
confidence: 99%
“…Allometric equations are mostly derived by measuring the diameter at breast height (DBH) and tree height and seldomly include wood density [4,10,12]. Recent studies across tropical and savanna ecosystems have shown that the inclusion of crown diameter in the development of allometric equations provides more accurate estimates [11,13]. However, crown measurements are difficult to acquire due to inaccuracies and the processes being labour-intensive and therefore are mostly omitted [14].…”
Section: Introductionmentioning
confidence: 99%
“…If managed well, good land cover will help improve water quality and quantity (Kumi et al, 2023), biodiversity, and carbon sequestration (Laudon and Hasselquist, 2023). The quantification of diverse forest components helps mitigate climate change because forests can absorb large amounts of greenhouse gasses and then store them for long periods (Nyamukuru et al, 2023). These benefits will be reduced if the forest experiences damage, which can result in reduced land cover.…”
Section: Introductionmentioning
confidence: 99%