2022
DOI: 10.3390/su14138047
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Prediction of Resin Production in Copal Trees (Bursera spp.) Using a Random Forest Model

Abstract: Non-timber forest products (NTFPs) are essential for community development, but their enormous demand has posed a serious threat to trees growing in their natural habitat. Copal resin is one of these products, which has a great deal of religious and ceremonial significance in Mexico and around the world. Resin extraction from a tree depends on its morphological and physiological characteristics, as well as its physical and sanitary condition. In this study, a methodology was proposed for determining the yield … Show more

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“…There are two main climates within the watershed: warm sub-humid with summer rains and semi-warm sub-humid with summer rains. Primary land use is agriculture, and the predominant vegetation type is tropical deciduous forest [17][18][19][20] . The experimental site was in the Ejido de San Juan Raboso, municipality of Izúcar de Matamoros, located in the region of the Cerro de la Virgen, within the watershed (Fig.…”
Section: Methodsmentioning
confidence: 99%
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“…There are two main climates within the watershed: warm sub-humid with summer rains and semi-warm sub-humid with summer rains. Primary land use is agriculture, and the predominant vegetation type is tropical deciduous forest [17][18][19][20] . The experimental site was in the Ejido de San Juan Raboso, municipality of Izúcar de Matamoros, located in the region of the Cerro de la Virgen, within the watershed (Fig.…”
Section: Methodsmentioning
confidence: 99%
“…1), with an elevation 1 282 m and an area of 30.8 ha. Tropical deciduous forest is predominant in this area, typical of an area with two distinct seasons of moisture availability, rainy and dry 7 , as well as species that shed their leaves during the dry season and a variety of species with scaly bark that is similar to papyrus, or with thorny or corky protuberances, with sparse crowns 20,21 . The experimental site is for communal use.…”
Section: Methodsmentioning
confidence: 99%
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