2006
DOI: 10.1007/s10457-006-9005-x
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Allometric models for estimating aboveground biomass of shade trees and coffee bushes grown together

Abstract: Allometric models for dominant shade tree species and coffee plants (Coffea arabica) were developed for coffee agroforestry systems in Matagalpa, Nicaragua. The studied shade tree species were Cordia alliodora, Juglans olanchana, Inga tonduzzi and I. punctata. The models predict aboveground biomass based on diameter at breast height (for trees), and the stem diameter at a height of 15 cm and plant height (for coffee plants). In addition, the specific gravity of the studied species was determined.The total abov… Show more

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Cited by 111 publications
(57 citation statements)
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“…The diameter of coffee shrub was measured at 15 cm aboveground [27]. A quadrat size of 20 × 20 m (400 m 2 ) was used for woody species assessment for diameter ≥5 cm [28].…”
Section: Sampling Designmentioning
confidence: 99%
“…The diameter of coffee shrub was measured at 15 cm aboveground [27]. A quadrat size of 20 × 20 m (400 m 2 ) was used for woody species assessment for diameter ≥5 cm [28].…”
Section: Sampling Designmentioning
confidence: 99%
“…All the material pruned from coffee bushes was also left in the plots (coffee bushes were pruned according to standard coffee agronomic practice, to the same level across all treatments). shown to provide long-term carbon stores in shade-tree and crop biomass (Segura et al, 2006;Dossa et al, 2008), currently these gain no recognition for their net carbon storage benefit when compared, for example, with coffee grown in full sun or with annual crops.…”
Section: Experimental Designmentioning
confidence: 99%
“…This fact resulted in smaller carbon stock in the cultivated area and higher carbon footprint due to the larger production, causing this increase in the carbon footprint indexes (Segura et al 2006, Dossa et al 2008, Siles et al 2010). Additionally, a negative balance after 2005 may be linked to negative effects of climate change in the tropical regions, which implicates higher demand of agricultural inputs in the system to secure the production, which are directly related to the increase in carbon footprint.…”
Section: Resultsmentioning
confidence: 99%