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Allometric equations for estimating biomass in agricultural landscapes: II. Belowground biomass.

机译:估算农业景观生物量的异速方程:II。地下生物量。

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The high heterogeneity and diverse management effects on trees in agricultural landscapes limit the use of standard allometric equations developed for forests; hence the need to develop robust allometric equations and root:shoot ratios (RS) for more accurate estimation of belowground biomass. Local generic equations were developed from 72 trees (diameter at breast height (dbh): 3-102 cm) destructively sampled across three 100 km2 benchmark sites in Western Kenya. Belowground biomass of the harvested trees accounted for about 20% of the total tree biomass; yielding an overall RS of 0.26, which varied across an altitudinal and precipitation gradient. The equation based on dbh alone estimated belowground biomass carbon in agricultural mosaics of Western Kenya to be 5+or-0.01 Mg C ha-1 with about 90% accuracy. Two of the equations recommended for tropical species produced estimates that were about 35 and 21% lower. The equation with dbh as predictor is therefore reliable for estimating belowground biomass in agricultural landscapes while RS should be used with great care depending on soil and management conditions as shown by the great variability among the blocks evaluated. Equations presented in this study will significantly improve the accuracy of root biomass estimates in agricultural landscape mosaics without the high investments in excavating the root system.
机译:农业景观中树木的高度异质性和多样化的管理效应限制了为森林开发的标准异速方程的使用;因此,需要开发鲁棒的异速方程和根:茎比(RS),以更准确地估算地下生物量。在肯尼亚西部的三个100 km 2 基准站点上,以破坏性方式从72棵树(胸径(dbh):3-102 cm)上开发了本地通用方程。采伐树木的地下生物量约占树木总生物量的20%。得出的总RS为0.26,在整个海拔梯度和降水梯度之间变化。仅基于dbh的方程估计肯尼亚西部农业镶嵌图中地下生物量碳为5+或-0.01 Mg C ha -1 ,准确度约为90%。为热带物种推荐的两个方程式得出的估计值分别降低了约35%和21%。因此,以dbh为预测因子的方程式对于估算农业景观中的地下生物量是可靠的,而RS应根据土壤和管理条件而谨慎使用,如所评估区块之间的巨大差异所显示。这项研究中提出的方程式将显着提高农业景观马赛克中根系生物量估计的准确性,而无需在挖掘根系上进行大量投资。

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