Arid
DOI10.1080/10549811.2021.1891940
Prediction of Biomass in Dry Tropical Forests: An Approach on the Importance of Total Height in the Development of Local and Pan-tropical Models
De Oliveira, Cinthia Pereira; Ferreira, Rinaldo Luiz Caraciolo; Da Silva, Jose Antonio Aleixo; Lima, Robson Borges; Araujo Silva, Emanuel; Alves Junior, Francisco Tarcisio; Da Silva, Anderson Francisco; Divino Silva de Lucena, Josias; Tavares Dos Santos, Nattan Adler; Correa Lopes, Iran Jorge; De Lima Pessoa, Mayara Maria; Souto-Maior Sales De Melo, Cybelle Lais
通讯作者De Oliveira, CP (corresponding author), Univ Estado Amapa, Lab Manejo Florestal, Amapa, Brazil.
来源期刊JOURNAL OF SUSTAINABLE FORESTRY
ISSN1054-9811
EISSN1540-756X
出版年2021-03
英文摘要Dry tropical forests in arid lands cover large areas in Brazil, but few studies report the total biomass stock showing the importance of height measurements, in addition to applying and comparing local and pan-tropical models. Here, we use a biomass data set of 500 trees and shrubs, covering 15 species harvested in a management plan in the state of Pernambuco, in Brazil. We seek to develop local models and compare them with the equations traditionally applied to dry forests - showing the importance of tree height measurements. Due to the non-linear relationships with the independent variables of the tree, we used a nonlinear least squares modeling technique when adjusting models, we adopted the cross-validation procedure. In summary, our above-ground biomass data set is best represented by the Schumacher-Hall equation: exp [3.5336 + 1.9126 x log (D) + 1.2438 x log (Ht)], which shows that height measurements are essential to estimate accurately biomass. The biggest prediction errors observed when testing pan-tropical models in our data demonstrated the importance of developing new local models and indicated that careful considerations should be made if generic pan-tropical models without height measurements are planned for application in dry forests in Brazil.
英文关键词Caatinga domain forest management allometry statistical models
类型Article ; Early Access
语种英语
收录类别SCI-E
WOS记录号WOS:000628728500001
WOS关键词ABOVEGROUND BIOMASS ; ALLOMETRIC MODELS ; CARBON STOCKS ; TREE BIOMASS ; WOOD VOLUME ; EQUATIONS ; LIDAR ; WOODLANDS ; VEGETATION ; MOSAICS
WOS类目Forestry
WOS研究方向Forestry
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/352354
作者单位[De Oliveira, Cinthia Pereira; Lima, Robson Borges; Alves Junior, Francisco Tarcisio] Univ Estado Amapa, Lab Manejo Florestal, Amapa, Brazil; [Ferreira, Rinaldo Luiz Caraciolo; Da Silva, Jose Antonio Aleixo; Araujo Silva, Emanuel; Da Silva, Anderson Francisco; Divino Silva de Lucena, Josias; Tavares Dos Santos, Nattan Adler; De Lima Pessoa, Mayara Maria; Souto-Maior Sales De Melo, Cybelle Lais] Univ Fed Rural Pernambuco, Lab Manejo Florestas Nat Jose Serafim Feitosa Fer, Dept Ciencia Florestal, Recife, PE, Brazil; [Correa Lopes, Iran Jorge] Univ Fed Parana, Dept Ciencia Florestal, Curitiba, Parana, Brazil
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De Oliveira, Cinthia Pereira,Ferreira, Rinaldo Luiz Caraciolo,Da Silva, Jose Antonio Aleixo,et al. Prediction of Biomass in Dry Tropical Forests: An Approach on the Importance of Total Height in the Development of Local and Pan-tropical Models[J],2021.
APA De Oliveira, Cinthia Pereira.,Ferreira, Rinaldo Luiz Caraciolo.,Da Silva, Jose Antonio Aleixo.,Lima, Robson Borges.,Araujo Silva, Emanuel.,...&Souto-Maior Sales De Melo, Cybelle Lais.(2021).Prediction of Biomass in Dry Tropical Forests: An Approach on the Importance of Total Height in the Development of Local and Pan-tropical Models.JOURNAL OF SUSTAINABLE FORESTRY.
MLA De Oliveira, Cinthia Pereira,et al."Prediction of Biomass in Dry Tropical Forests: An Approach on the Importance of Total Height in the Development of Local and Pan-tropical Models".JOURNAL OF SUSTAINABLE FORESTRY (2021).
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