Is the simple auger coring method reliable for below-ground standing biomass estimation in Eucalyptus forest plantations?

对于桉树林人工林而言,简单的螺旋钻取芯法是否能可靠地估算地下生物量?

阅读:1

Abstract

BACKGROUND AND AIMS: Despite their importance for plant production, estimations of below-ground biomass and its distribution in the soil are still difficult and time consuming, and no single reliable methodology is available for different root types. To identify the best method for root biomass estimations, four different methods, with labour requirements, were tested at the same location. METHODS: The four methods, applied in a 6-year-old Eucalyptus plantation in Congo, were based on different soil sampling volumes: auger (8 cm in diameter), monolith (25 × 25 cm quadrate), half Voronoi trench (1·5 m(3)) and a full Voronoi trench (3 m(3)), chosen as the reference method. KEY RESULTS: With the reference method (0-1m deep), fine-root biomass (FRB, diameter <2 mm) was estimated at 1·8 t ha(-1), medium-root biomass (MRB diameter 2-10 mm) at 2·0 t ha(-1), coarse-root biomass (CRB, diameter >10 mm) at 5·6 t ha(-1) and stump biomass at 6·8 t ha(-1). Total below-ground biomass was estimated at 16·2 t ha(-1) (root : shoot ratio equal to 0·23) for this 800 tree ha(-1) eucalypt plantation density. The density of FRB was very high (0·56 t ha(-1)) in the top soil horizon (0-3 cm layer) and decreased greatly (0·3 t ha(-1)) with depth (50-100 cm). Without labour requirement considerations, no significant differences were found between the four methods for FRB and MRB; however, CRB was better estimated by the half and full Voronoi trenches. When labour requirements were considered, the most effective method was auger coring for FRB, whereas the half and full Voronoi trenches were the most appropriate methods for MRB and CRB, respectively. CONCLUSIONS: As CRB combined with stumps amounted to 78 % of total below-ground biomass, a full Voronoi trench is strongly recommended when estimating total standing root biomass. Conversely, for FRB estimation, auger coring is recommended with a design pattern accounting for the spatial variability of fine-root distribution.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。