Spatial exploration, dendrometric characteristics and prediction models of wood production in a stand of Acacia schaffneri in Durango, Mexico-Reference-Cited by-同舟云学术

Spatial exploration, dendrometric characteristics and prediction models of wood production in a stand of Acacia schaffneri in Durango, Mexico

Published:2021-12-30 Issue:1 Volume:49 Page:70-79
ISSN:1338-7014
Container-title:Folia Oecologica
language:en
Short-container-title:

Author:

Nuñez Luis Manuel Valenzuela¹,Sifuentes Aldo Rafael Martínez²,Herrera José Antonio Hernández³,de la Peña Cristina García¹,Contreras Edwin Amir Briceño¹,Saucedo Julio César Ríos⁴,Guerrero Enrique Melo⁵

Affiliation:

1. Laboratorio de Biología y Ecología Forestal, Facultad de Ciencias Biológicas , Universidad Juárez del Estado de Durango , Av. Universidad S/N, Fracc. Filadelfia, Gómez Palacio, Durango, C. P. 35010 , Mexico

2. INIFAP Centro Nacional de Investigación Disciplinaria en la Relación Agua Suelo Planta Atmósfera , Km. 6.5 Margen Derecha Canal de Sacramento, Gómez Palacio, Durango, C. P. 35140 , Mexico

3. Departamento de Recursos Naturales , Universidad Autónoma Agraria Antonio Narro , Calzada Antonio Narro 1923, Buenavista, Saltillo, Coahuila, C. P. 25315 , Mexico

4. INIFAP Campo Experimental Valle del Guadiana , Carr. Durango - El Mezquital km. 4, Durango, Durango, C. P. 34170 , Mexico

5. Instituto de Ciencias Agropecuarias , Universidad Autónoma del Estado de Hidalgo , Avenida Universidad Km. 1 s/n Exhacienda Aquetzalpa, Tulancingo de Bravo, Hidalgo, C. P. 43600 , Mexico

Abstract

Abstract Degraded vegetation is the result of a process that affects structural and functional characteristics. Tree species from the Acacia genus are very important to the ecosystem in semi-arid lands due to their participation in the recovery of highly degraded areas. One of the most important species among this genus is A. schaffneri. The status of a forest stand is determined according to its structure, including height, stratum and density. Remote sensing is a valuable method for estimating volumetric stocks and associated changes in forest populations over established periods of time. The objective of this research was to estimate wood volume of A. schaffneri using remote sensing, and to complement that information with the results obtained from an estimation method based on forest measurements. The results obtained showed that the crown area was the dendrometric variable that can be used in a wood volume prediction model. In the exploratory analysis between dendrometric variables and remote sensing showed low and negative associations were observed in the four stations analyzed. There are conservation problems due to anthropogenic activities, among which stands out the intensive grazing that results in a decrease of the natural regeneration capacity of Acacia schaffneri.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/foecol-2022-0008

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