Allometric equations for biomass and carbon pool estimation in short rotation Pinus radiata stands of the Western Cape, South Africa

被引:0
作者
Pienaar, Louis Otto [1 ]
Calama, Rafael [2 ]
Olivar, Jorge [3 ,4 ]
Wellstein, Camilla [5 ]
Pretzsch, Hans [4 ,6 ]
du Toit, Ben [1 ]
机构
[1] Stellenbosch Univ, Dept Forest & Wood Sci, Stellenbosch, South Africa
[2] Forest Res Inst ICIFOR, CSIC, INIA, Ctra A Coruna Km 7-5, Madrid 28040, Spain
[3] Agresta S Coop, C-Duque Fernan Nunez,2,1, Madrid 28012, Spain
[4] Univ Valladolid, Inst Univ Invest & Gest Forestal Sostenible, SMART Res Grp, iuFOR,ETS Ingn Agr, Avda Madrid s-n, Palencia 34004, Spain
[5] Free Univ Bozen Bolzano, Fac Agr Environm & Food Sci, I-39100 Bolzano, Italy
[6] Tech Univ Munich, TUM Sch Life Sci Weihenstephan, Freising Weihenstephan, Germany
关键词
Allometry; Dirichlet regression; Thinning biomass; Carbon sequestration; MODELING ABOVEGROUND BIOMASS; LEAF-AREA INDEX; LOBLOLLY-PINE; TREE; PLANTATIONS; MANAGEMENT; COMPONENTS; DIAMETER; HEIGHT; GROWTH;
D O I
10.1007/s10342-024-01730-9
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
The quantification of tree growth and carbon storage over time is an important task for sustainable forest management and carbon sequestration projects. For the South African short-rotation Pinus radiata (D. Don) forests, this knowledge is lacking. We developed allometric equations and compared the estimated weights to previously published biomass studies and we used Dirichlet Regression (DR) modelling to ensure additivity of the component proportions. The biomass components and their contribution to carbon storage depend strongly on forest structure and mean tree size but also on-site conditions and tree architecture. Our first two hypotheses were that the (1) best model for stemwood (SW), bark and total mass will include the combined variable DBH2H and (2) that the DR will yield statistically similar estimates for all components when compared to the best models. Our third hypothesis was that allometric equations developed for sites with high resource availability (e.g. wet, fertile sites) will yield biased estimates when extrapolated to sites with lower levels of resource availability (drier and/or infertile sites). The results indicated that (DBHH)-H-2 was the best variable to describe SW, bark and total mass and the DR yield similar estimates for all component proportions when compared to the best models. There were strong similarities in the SW and total mass of independent test sites in comparison to the SW and total mass of this study but greater variability in the bark, needle and branch mass. This can be associated to site and seasonal differences as well as variability in tree architecture brought about by different silvicultural operations on individual sites. Previously developed equations by other authors for sites with high resource availability overpredicted the SW and total mass of the models developed in this study. Our set of additive component equations performed well even when applied to sites of similar productivity over a climate gradient. The presented new equations bridge the gap in knowledge where allometric equations for short rotation Radiata pine stands are lacking.
引用
收藏
页码:855 / 873
页数:19
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