DOI: 10.1016/j.foreco.2017.08.044
Scopus记录号: 2-s2.0-85028770281
论文题名: Carbon stock classification for tropical forests in Brazil: Understanding the effect of stand and climate variables
作者: David H.C. ; de Araújo E.J.G. ; Morais V.A. ; Scolforo J.R.S. ; Marques J.M. ; Péllico Netto S. ; MacFarlane D.W.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 404 起始页码: 241
结束页码: 250
语种: 英语
英文关键词: Brazilian biomes
; Discriminant analysis
; Mean diameter and height
; Stem carbon
; Temperature and precipitation
Scopus关键词: Discriminant analysis
; Ecosystems
; Brazilian biomes
; Classification rules
; Climate variables
; Forest ecosystem
; Global carbon cycle
; Mean annual temperatures
; Mean diameter
; Presence/absence
; Forestry
英文摘要: Forest ecosystems play an important role in the global carbon cycle and with this there is an increasing need for quantifying carbon at large scales. The aim of this research was to develop a system for classifying tropical forests in Brazil into carbon stock classes, applicable to large areas, emphasizing different sets of stand and climate variables. We used data from forests inventoried in two Brazilian biomes: Atlantic Forest and Savanna. We applied discriminant analysis to generate a classification rule by biome. Three types of variables were used: climatic (mean annual temperature and precipitation, or MAT and MAP), geographical (latitude and longitude), and stand variables (density of trees, mean height or h¯, mean square diameter or dg, and basal area or G). We combined these into three scenarios for analysis: (1) all variables; (2) all variables, except h¯; (3) all variables, except h¯, dg, and G, to determine their contribution to classifying carbon stocks. We also assessed each set of variables in the presence/absence of MAP and MAT, used simultaneously or not. The best classification rules resulted in 83.9% and 98.5% of correct classifications for Atlantic Forest and Savanna biomes, respectively. Stand variables contributed significantly to successful classification; for the Atlantic Forest biome, dg and G contributed from 36% to 42% and h¯ from 2% to 5%, yet for the Savanna biome the gains ranged from 31% to 42% and 6%–9%, respectively. For the climate variables, the simultaneous use of MAT and MAP played an important role in the classification in all cases in the Atlantic Forest biome, contributing up to 9.2% for the classification. In the Savanna biome, we found significant positive gains by the simultaneous use in the absence of h¯, dg, and G, on the other hand, the simultaneous use exerted negative effects when h¯ was used. We concluded that climate variables are most helpful when stand variables are not included in the analysis. In terms of carbon stock variation, the Atlantic Forest biome tended to be more sensitive to both MAT and MAP, whereas the Savanna biome had no significant climatic dependence in the classification. The variable h¯ exerted a greater effect in the Savanna biome than in the Atlantic Forest, however, basal area and mean square diameter were the most important in both biomes. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64087
Appears in Collections: 影响、适应和脆弱性
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作者单位: Rural Federal University of Amazonia, Pau Amarelo Avenue, Capitão Poço, PA, Brazil; Departament of Forestry, Rural Federal University of Rio de Janeiro, Highway 465, km 07, Seropédica, RJ, Brazil; Mato Grosso State University, Perimetral Deputado Rogério Silva Avenue, Alta Floresta, MT, Brazil; Departament of Forest Science, Federal University of Lavras, Dr. Sylvio Menicucci Avenue, 1001, Lavras, MG, Brazil; University Tuiuti of Parana, José Nicco Street, 179, Curitiba, PR, Brazil; Departament of Forestry, Federal University of Parana, Pref. Lothário Meissner Avenue, 900, Curitiba, PR, Brazil; Department of Forestry, Michigan State University, 480 Wilson Road, East Lansing, MI, United States
Recommended Citation:
David H.C.,de Araújo E.J.G.,Morais V.A.,et al. Carbon stock classification for tropical forests in Brazil: Understanding the effect of stand and climate variables[J]. Forest Ecology and Management,2017-01-01,404