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应用生态学报 ›› 2017, Vol. 28 ›› Issue (4): 1112-1120.doi: 10.13287/j.1001-9332.201704.022

• 目次 • 上一篇    下一篇

甘肃省5种典型人工林生态系统固碳现状与潜力

程然然1, 关晋宏2,3, 张建国1,4, 何秋月3, 邓磊3, 侯浩3, 李国庆1,2, 杜盛1,2*   

  1. 1中国科学院水利部水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西杨凌 712100
    2西北农林科技大学水土保持研究所, 陕西杨凌 712100
    3西北农林科技大学林学院, 陕西杨凌 712100
    4黄河水利委员会黄河上中游管理局, 西安 710021
  • 收稿日期:2016-10-13 出版日期:2017-04-18 发布日期:2017-04-18
  • 通讯作者: * E-mail: shengdu@ms.iswc.ac.cn
  • 作者简介:程然然,男,1988年生,博士研究生.主要从事森林碳沉积与群落生态水文过程研究.E-mail:chengranran1221@163.com
  • 基金资助:
    本文由中国科学院战略性先导科技专项(XDA05050202)资助

Carbon storage and sequestration potential of five typical plantation ecosystems in Gansu Province, China

CHENG Ran-ran1, GUAN Jin-hong2,3, ZHANG Jian-guo1,4, HE Qiu-yue3, DENG Lei3, HOU Hao3, LI Guo-qing1,2, DU Sheng1,2*   

  1. 1State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, Shaanxi, China
    2Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China
    3College of Forestry, Northwest A&F University, Yangling 712100, Shaanxi, China
    4Upper and Middle Yellow River Bureau, Yellow River Conservancy Commission of the Ministry of Water Resources, Xi’an 710021, China
  • Received:2016-10-13 Online:2017-04-18 Published:2017-04-18
  • Contact: * E-mail: shengdu@ms.iswc.ac.cn
  • Supported by:
    This work was supported by the Chinese Academy of Sciences Strategic Priority Research Program (XDA05050202)

摘要: 基于野外调查与室内实测数据,结合第八次全国森林资源清查资料,分析了甘肃省5种典型人工林生态系统(刺槐、杨树、油松/华山松、落叶松及云杉林)森林生态系统碳密度、碳储量,并估算了乔木层固碳潜力.结果表明: 5种典型人工林生态系统平均碳密度和总碳储量分别为139.65 t·hm-2和85.78 Tg,不同人工林类型之间差异较大.不同龄组间碳密度表现为近熟林(250.70 t·hm-2)最大,其次是成熟林(175.97 t·hm-2)和中龄林(156.92 t·hm-2),幼龄林(117.56 t·hm-2)最低.碳储量表现为幼龄林(45.47 Tg)>中龄林(19.54 Tg)>成熟林(11.84 Tg)>近熟林(8.93 Tg),幼中龄林碳储量占总碳储量的75.9%.5种典型人工林乔木层现实固碳潜力合计为7.27 Tg,刺槐林(2.49 Tg)和杨树林(2.10 Tg)最大;各龄组中,幼龄林现实固碳潜力最大(3.78 Tg),其次是中龄林(2.04 Tg),近熟林最小(0.45 Tg).5种典型人工林乔木层最大固碳潜力达27.55 Tg,表现为刺槐林(9.42 Tg)>落叶松林(6.22 Tg)≈云杉林(6.36 Tg)>杨树林(3.18 Tg)>油松/华山松林(2.37 Tg);其中,幼、中龄林最大固碳潜力分别为18.48和6.89 Tg,占总最大固碳潜力的92%.

Abstract: Based on the data of the field investigation and laboratory and the database of the 8th national forestry inventory, ecosystem carbon density, storage amount, and sequestration potential of tree layer were estimated for five typical plantation ecosystems (Robinia pseudoacacia, Populus spp., Pinus tabuliformis & Pinus armandii, which were grouped as one kind of ecosystems, Larix principis-rupprechtii, and Picea asperata) in Gansu Province. The results showed that the average carbon density and total carbon storage of the five typical plantation ecosystems were 139.65 t·hm-2 and 85.78 Tg, respectively. Ecosystem carbon density varied among ecosystems. It followed the sequence of premature (250.70 t·hm-2) > mature (175.97 t·hm-2) > middle-aged (156.92 t·hm-2) > young (117.56 t·hm-2) forest. Meanwhile, carbon storage in these plantations ranked in the order of young (45.47 Tg) > middle-aged (19.54 Tg) > mature (11.84 Tg) > pre-mature (8.93 Tg) forest. Specifically, young and middle-aged plantations contributed the most and accounted for 75.9% of the total carbon storage. The realistic carbon sequestration potential (CPr) by tree layer of the five typical plantation ecosystems in Gansu Province was estimated as 7.27 Tg. The two largest contributors toCPr were R. pseudoacacia (2.49 Tg) and Populus spp. (2.10 Tg). Young plantations (3.78 Tg) showed the largest CPr, followed by middle-aged plantations (2.04 Tg), and the value of premature plantations (0.45 Tg) was the smallest. The maximum carbon sequestration potential (CPmax) might be up to 27.55 Tg, the CPmax with different plantations ranked in the order of R. pseudoacacia (9.42 Tg)> L. principis-rupprechtii (6.22 Tg) ≈ P. asperata (6.36 Tg) > Populus spp. (3.18 Tg) >P. tabuliformis & P. armandii (2.37 Tg). The CPmax of young and middle-aged plantations was estimated as 18.48 and 6.89 Tg, respectively, which accounted for 92% of the total maximum carbon sequestration potential.