Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2017.08.044 |
Carbon stock classification for tropical forests in Brazil: Understanding the effect of stand and climate variables | |
David, Hassan Camil1; Gomes de Araujo, Emanuel Jose2; Morais, Vinicius Augusto3; Soares Scolforo, Jose Roberto4; Marques, Jair Mendes5; Netto, Sylvio Pellico6; MacFarlane, David W.7 | |
2017-11-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT
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ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2017 |
卷号 | 404 |
文章类型 | Article |
语种 | 英语 |
国家 | Brazil; USA |
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 E, 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 E; (3) all variables, except E, 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 E 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 E, dg, and G, on the other hand, the simultaneous use exerted negative effects when E 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 IT 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. |
英文关键词 | Discriminant analysis Stem carbon Temperature and precipitation Mean diameter and height Brazilian biomes |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000413384000023 |
WOS关键词 | BIOMASS ; BALANCE ; DEFORESTATION ; SENSITIVITY ; ACCUMULATION ; VARIABILITY ; POLICY ; GROWTH ; TERM |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/23615 |
专题 | 气候变化 |
作者单位 | 1.Rural Fed Univ Amazonia, Pau Amarelo Ave, BR-68650000 Capitao Poco, PA, Brazil; 2.Rural Fed Univ Rio De Janeiro, Dept Forestry, Highway 465,Km 07, BR-23890000 Seropedica, RJ, Brazil; 3.Mato Grosso State Univ, Perimetral Deputado Rogerio Silva Ave, BR-78580000 Alta Floresta, MT, Brazil; 4.Fed Univ Lavras 2, Dept Forest Sci, Dr Sylvio Menicucci Ave 1001, BR-37200000 Lavras, MG, Brazil; 5.Univ Tuiuti Parana, Jose Nicco St 179, BR-81200300 Curitiba, PR, Brazil; 6.Univ Fed Parana, Dept Forestry, Pref Lothario Meissner Ave, BR-80210170 Curitiba, PR, Brazil; 7.Michigan State Univ, Dept Forestry, 480 Wilson Rd, E Lansing, MI 48824 USA |
推荐引用方式 GB/T 7714 | David, Hassan Camil,Gomes de Araujo, Emanuel Jose,Morais, Vinicius Augusto,et al. Carbon stock classification for tropical forests in Brazil: Understanding the effect of stand and climate variables[J]. FOREST ECOLOGY AND MANAGEMENT,2017,404. |
APA | David, Hassan Camil.,Gomes de Araujo, Emanuel Jose.,Morais, Vinicius Augusto.,Soares Scolforo, Jose Roberto.,Marques, Jair Mendes.,...&MacFarlane, David W..(2017).Carbon stock classification for tropical forests in Brazil: Understanding the effect of stand and climate variables.FOREST ECOLOGY AND MANAGEMENT,404. |
MLA | David, Hassan Camil,et al."Carbon stock classification for tropical forests in Brazil: Understanding the effect of stand and climate variables".FOREST ECOLOGY AND MANAGEMENT 404(2017). |
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