生态学杂志2024，Vol.43Issue(5)：1477-1487,11.DOI:10.13292/j.1000-4890.202405.048
杉木北带东区杉木人工林碳储量影响因素源解析
The influencing factors of carbon storage in Chinese fir plantations in the eastern part of the northern ex-treme of Chinese fir distribution
摘要
Abstract
Accurately estimating carbon storage has long been a focus under the context of global climate change.In this study,we collected data from 80 plots in two major Chinese fir plantations production areas in Chinese fir sensi-tive area to climate change,i.e.Dabie mountainous area and southern Anhui Province,with low human disturbance and different age sequences.Random forest(RF)algorithm was used to construct models that estimate carbon stor-age[aboveground carbon storage(Ca),belowground carbon storage(Cb)and total carbon storage(C)]with can-didate independent variables such as stand,site,and climate factors.Based on the optimal model,the sources of the estimation variations in carbon storage(Ca,Cb and C)were quantified.The effects and significance of the influencing factors on carbon storage were evaluated to understand the impacts of climate change on tree growth.The results showed that stand factors were the dominant factors affecting carbon storage(Ca,Cb and C)of Chinese fir plantations,and their relative importance value was over 76％.Among the stand factors,stand basal area(BA)had the greatest influence,with Ca,Cb,and C increasing with the increases of BA.Climate factors were of second-ary importance in affecting the carbon storage of Chinese fir plantation,with the relative importance value being less than 17％.Among the climate factors,Precipitation seasonality(Bio15)exerted the greatest influence,with Ca,Cb and C decreasing slightly with the increase of Bio15.Site factors had limited explanatory power,with their rela-tive importance being less than 3％.There were little changes in Ca,Cb and C with the site factors.关键词
林分因子/气候/立地/随机森林/碳储量Key words
stand factor/climate/site/random forest/carbon storage引用本文复制引用
安晓圆,陈辰,张德婧,宛慧茹,吴毓煜,马李璐,唐雪海,欧强新..杉木北带东区杉木人工林碳储量影响因素源解析[J].生态学杂志,2024,43(5):1477-1487,11.基金项目
安徽高校自然科学研究项目(KJ2021A0162)资助. （KJ2021A0162）
