加拿大西部泥炭地生态系统中小黑云杉的新的地上生物量组分方程

IF 1.7 3区 农林科学 Q2 FORESTRY Canadian Journal of Forest Research Pub Date : 2023-10-10 DOI:10.1139/cjfr-2023-0031
Steven Wagers, Guillermo Castilla, Mihai Voicu, Tyler Rea, G. Arturo Sanchez-Azofeifa
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引用次数: 0

摘要

黑云杉是加拿大最常见的树种,在泥炭地占主导地位,在那里它们通常发育不良。我们利用来自56个样地的495棵破坏性采样树,对来自加拿大西部泰加平原和北方平原生态区泥炭地的小型(<5 m高)黑云杉建立了按组分(茎、枝和针)计算地上生物量的异速生长模型,目前尚无具体的组分生物量模型。我们使用“留一张图”交叉验证来评估可转移性,并将我们的模型与现有的国家和生态区特定方程进行比较。与国家模型相比,我们的模型预测树木总生物量具有更高的准确性和更少的偏差(相对RMSE: 30%对35%;相对偏差:+1%对-12%全国)。在其他外部数据集中也得到了类似的结果。现有的经济区方程表现得比我们的模型或国家的模型都差。当我们在样地水平上应用模型预测地上生物量密度(Mg·ha−1)时,我们的模型再次优于国家模型(相对RMSE: 15.9%,而全国为18.6%,相对偏差:+3.5%,全国为-13.6%)。这些结果表明,至少对于加拿大西部的泥炭地,我们的模型提供了比现有模型更好的小型黑云杉的地上生物量估算。
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New aboveground biomass equations by components for small black spruce in peatland ecosystems of Western Canada
Black spruce is the most common tree species in Canada, dominating treed peatlands where they are usually stunted. We used 495 destructively sampled trees from 56 plots to develop allometric models of aboveground biomass by components (stem, branches, and needles) for small (<5 m tall) black spruce from peatlands in the Taiga Plains and Boreal Plains Ecozones of Western Canada, for which there were no specific models available of biomass by components. We used leave-one-plot-out cross-validation to assess transferability and compare our models with existing national and ecozone-specific equations. Our models predicted total tree biomass with better accuracy and less biased estimates than the national model (relative RMSE: 30% versus 35% national; relative bias: +1% versus –12% national). Similar results were obtained in other external datasets. Existing ecozone equations performed worse than either our models or the national ones. When we applied the models at the plot level to predict aboveground biomass density (Mg·ha −1 ), our models outperformed the national model again (relative RMSE: 15.9% versus 18.6% national, relative bias: +3.5% versus –13.6% national). These results indicate that at least for peatlands of Western Canada, our models provide better aboveground biomass estimates for small black spruce trees than existing models.
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来源期刊
CiteScore
4.20
自引率
9.10%
发文量
109
审稿时长
3 months
期刊介绍: Published since 1971, the Canadian Journal of Forest Research is a monthly journal that features articles, reviews, notes and concept papers on a broad spectrum of forest sciences, including biometrics, conservation, disturbances, ecology, economics, entomology, genetics, hydrology, management, nutrient cycling, pathology, physiology, remote sensing, silviculture, social sciences, soils, stand dynamics, and wood science, all in relation to the understanding or management of ecosystem services. It also publishes special issues dedicated to a topic of current interest.
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