Allometric models for estimating aboveground biomass and carbon in Faidherbia albida and Prosopis africana under agroforestry parklands in drylands of Niger

被引:9
|
作者
Moussa, Massaoudou [1 ]
Mahamane, Larwanou [2 ]
机构
[1] Natl Inst Agr Res Niger INRAN, Dept Nat Resources Management DGRN, POB 240, Maradi, Niger
[2] World Agroforestry Ctr ICRAF, AFF, POB 30677-00100, Nairobi, Kenya
关键词
Aboveground biomass; Agroforestry; Allometric models; Carbon; Niger; Soudano-sahelian; LOG-TRANSFORMATION; FOREST BIOMASS; EQUATIONS; TREES; SAHEL; STOCK; MANAGEMENT; REGRESSION; VEGETATION; SURVIVAL;
D O I
10.1007/s11676-018-0603-z
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
This study developed allometric models to estimate aboveground biomass and carbon of Prosopis africana and Faidherbia albida. The destructive method was used with a sample of 20 trees per species for the two parkland sites. Linear regression with log transformation was used to model aboveground biomass according to dendrometric parameters. Error analysis, including mean absolute percentage of error (MAPE) and root mean square of error (RMSE), was used to select and validate the models for both species. Model 1 (biomass according to tree diameter) for P. africana and F. albida were considered more representative. The statistical parameters of these models were R-2 = 0.99, MAPE 0.98% and RMSE 1.75% for P. africana, and R-2 = 0.99, MAPE 1.19%, RMSE 2.37% for F. albida. The average rate of carbon sequestered was significantly different for the two species (P <= 0.05). The total amount sequestered per tree averaged 0.17 x 10(-3) Mg for P. africana and 0.25 x 10(-3) Mg for F. albida. These results could be used to develop policies that would lead to the sustainable management of these resources in the dry parklands of Niger.
引用
收藏
页码:1703 / 1717
页数:15
相关论文
共 13 条
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    Massaoudou Moussa
    Larwanou Mahamane
    [J]. Journal of Forestry Research, 2018, 29 : 1703 - 1717
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    Massaoudou Moussa
    Larwanou Mahamane
    [J]. Journal of Forestry Research, 2018, 29 (06) : 1703 - 1717
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