TY - JOUR AU - Aranda-Arguello, Rutver AU - Ley-de-Coss, Alejandro AU - Arce-Espino, Concepción AU - Pinto-Ruiz, René AU - Guevera-Hernández, Francisco AU - Raj-Aryal, Deb PY - 2018/09/01 Y2 - 2024/03/29 TI - Carbon sequestration in aerial biomass of the oil palm in Chiapas, Mexico JF - Agronomía Mesoamericana JA - Agron. Mesoam. VL - 29 IS - 3 SE - Technical Notes DO - 10.15517/ma.v29i3.32076 UR - https://revistas.ucr.ac.cr/index.php/agromeso/article/view/32076 SP - 629-637 AB - <span>Chiapas, Mexico, occupies the first place in surface and production of oil palm, as an alternative to mitigate climate change, for the potential of perennial crops to fix in their biomass the carbon (C) that is released in the form of environmental CO</span><span class="CharOverride-4">2</span><span>. The objective of this work was to measure the carbon captured in the aerial fraction of the oil palm plant (</span><span class="CharOverride-5">Elaeis guineensis</span><span> Jacq.). The study was conducted from January 2016 to June 2017 in three producing regions; where to twenty-one plants of twelve years on average, the stipe biomass was determined using the truncated cone technique, while for the leaves the equivalence of 65% of the biomass of the stipe was used. With these data, a descriptive statistic was made to know the biomass values. The amount of C was determined by the Walkley and Black method modified by UV spectrophotometry. The accumulated biomass per plant was 1877.30 kg, representing 268.45 t/ha with an average density of 143 plants/ha. 49.35% and 44.15% were carbon in stipe and leaves, respectively; therefore, the quantity of this element was 877.64 kg of carbon per plant, which represented 125.5 t/ha. An allometric equation was generated estimating the biomass from the volume of the stipe (y = 243.86 + 990.61x), as well as for the amount of carbon from the biomass (y = 149.07 + 0.39x). Two allometric models were determined with the data obtained from oil palm cultivation, which is suggested to be evaluated in the field to determine the degree of reliability in the estimation of biomass and carbon stored under the agroclimatic conditions similar to those of the present study.</span> ER -