[1]叶军,朱妍妍,陈立勇,等.泰州市森林碳储量现状及碳汇能力分析[J].江苏林业科技,2024,51(03):16-21.[doi:10.3969/j.issn.1001-7380.2024.03.004]
　Ye Jun,Zhu Yanyan,Chen Liyong,et al.Analysis of forest carbon storage and carbon sequestration capacity in Taizhou[J].Journal of Jiangsu Forestry Science &Technology,2024,51(03):16-21.[doi:10.3969/j.issn.1001-7380.2024.03.004]
点击复制

泰州市森林碳储量现状及碳汇能力分析()
分享到：

《江苏林业科技》[ISSN:1001-7380/CN:32-1236/S]

卷:
第51卷
期数:
2024年03期
页码:
16-21
栏目:
试验研究
出版日期:
2024-06-30

文章信息/Info

Title:
Analysis of forest carbon storage and carbon sequestration capacity in Taizhou
文章编号:
1001-7380（2024）03-0016-06
作者:
叶军1;  朱妍妍1;  陈立勇1;  张露1;  邢玮2; 3;  何冬梅2; 3*
1.泰州市林业技术指导中心，江苏 泰州 225300；
2. 江苏省林业科学研究院，江苏 南京 211153；
3. 江苏盐城滨海湿地生态系统国家定位观测研究站，江苏 盐城 224136
Author(s):
Ye Jun1;  Zhu Yanyan1;  Chen Liyong1;  Zhang Lu1;  Xing Wei2; 3;  He Dongmei2; 3*
1.Taizhou Forestry Technologyl Guidance Center, Taizhou 225300, China;
2. Jiangsu Academy of Forestry, Nanjing 211153, China;
3. Yancheng Coastal Wetland Ecosystem National Research Station, Yancheng, 224136, China
关键词:
碳储量; 碳密度; 碳汇能力; 森林; 泰州市
Keywords:
Carbon storage;  Carbon density;  Carbon sequestration capacity;  Forest;  Taizhou City
分类号:
S718.5；S718.56
DOI:
10.3969/j.issn.1001-7380.2024.03.004
文献标志码:
A
摘要:
基于泰州市森林资源监测数据，采用转换因子连续函数法计算泰州市辖区不同森林类型的碳储量，并分析泰州市森林资源碳汇能力。结果表明：泰州市辖区森林碳储量为492 366.50 t，其中乔木林碳储量为477 255.50 t，竹林碳储量为6 367.10 t，灌木林碳储量为8 743.91 t。4个辖区中，姜堰区森林碳储量、碳密度均最高，分别为205 631.75 t和42.60 t/hm2，海陵区森林碳储量、碳密度均最低。林分类型中以其他硬阔叶树类、樟树、杨树的碳储量最高，分别占乔木林碳储量的39.35%，18.00%，14.38%。乔木林中杨树碳密度最大，达62.40 t/hm2，其次是樟树碳密度为57.84 t/hm2。与2010年森林资源清查数据估算结果相比，泰州市辖区森林碳储量增加了53 242.65 t，森林碳密度增长了13.15 t/hm2；相对2010年，姜堰区森林面积减少了53%，但森林碳密度增加了2.10倍，增长幅度最大；而海陵区的森林碳密度增长缓慢。总之，泰州市森林资源在碳汇能力方面得到了显著提升，阔叶树种是森林碳储量的主要贡献者，在今后可从树种配置和林龄结构优化等方面进一步提升泰州市森林碳汇能力。
Abstract:
Based on the annual monitoring data of forest resources in Taizhou, the carbon storage of different forest types in Taizhou was calculated by using the conversion factor continuous function method and the forest carbon sequestration capacity was analyzed. The results showed that the total forest carbon storage in Taizhou was 49 236.65 t, including 477 255.50 t in arbor forest, 6 367.10 t in bamboo forest and 8 743.91 t in shrub forest. Among the four districts, Jiangyan exhibited the highest levels of both forest carbon storage (205 631.75 t) and carbon density (42.60 t/hm2) while Hailing had the lowest values at 56,942.26 t for forest carbon storage and 21.54 t/hm2 for carbon density. In different arbor forests, other hard broad-leaved species accounted for approximately 39.35% of total arbor forest carbon storage, followed by camphor tree(18%)and poplar(14.38%). The carbon density of poplar was the highest, which was 62.40 t/hm2, followed by camphor tree with 57.84 t/hm2. Compared with the estimation results of forest resource inventory data in 2010, the forest carbon storage increased by 53 242.65 t, and the forest carbon density also increased by 13.15 t/hm2. Compared to 2010, Jiangyan District experienced a 53% decrease in forest area, yet witnessed a 210 % increase in carbon density, The forest carbon density in Hailing District increased slowly. In general, the carbon sequestration capacity of forest resources in Taizhou City has been significantly enhanced, with broad-leaved species playing a predominant role in forest carbon storage. Future efforts could be focused on adjusting the composition of tree species and optimizing the structure of forest age to further improve the forests’ carbon sequestration potential in Taizhou.

参考文献/References:

[1]付玉杰,田地,侯正阳,等.全球森林碳汇功能评估研究进展[J].北京林业大学学报, 2022, 44(10): 1-10.
[2]黄凯旋. “双碳”背景下森林碳汇功能及展望[J].辽宁林业科技, 2024(1): 51-54.
[3]李海奎.碳中和愿景下森林碳汇评估方法和固碳潜力预估研究进展[J].中国地质调查, 2021, 8(4): 79-86.
[4]INKYIN K， SU Y W. An overview of interrelationship between climate change and forests[J]. Forest Science and Technology, 2015,11(1): 11-18.
[5]CAO J J, ZHANG X F, DEO R, et al.Influence of stand type and stand age on soil carbon storage in China’s arid and semi-arid regions[J]. Land Use Policy, 2018(78): 258-265.
[6]徐钊,曹国华,李思刚,等.江苏省森林植被碳储量分布结构及变化特征[J]. 西北林学院学报, 2019, 34(2): 69-75.
[7]ZHAO J F, MA J Y, HOU M T, et al. Spatial-temporal variations of carbon storage of the global forest ecosystem under future climate change[J]. Mitigation and Adaptation Strategies for Global Change, 2020， 25（4）: 603-624
[8]BANERJEE S K， BANERJEE S. Interrelationship between forests and climate change: A review[J].Indian Journal of Forestry, 2020(3):43.
[9]吕浩,彭春良,吴惠俐,等.森林生态系统不同碳库碳储量估算方法综述[J].湖南林业科技, 2022,49(6): 90-98.
[10]周玉荣,于振良,赵士洞.我国主要森林生态系统碳贮量和碳平衡[J].植物生态学报,2000, 24(5): 518-522.
[11]赵敏,周广胜.中国森林生态系统的植物碳贮量及其影响因子分析[J].地理科学,2004, 24(1): 50-54.
[12]曾伟生.云南省森林生物量与生产力研究[J].中南林业调查规划,2005, 24(4): 1-3, 13．
[13]FANG J Y, CHEN A P, PENG C H. Changes in forest biomass carbon storage in China between 1949 and 1998[J].Science,2001,292: 2320-2323.
[14]王效科,冯宗炜,欧阳志云.中国森林生态系统的植物碳储量和碳密度研究[J].应用生态学报, 2001(1): 13-16.
[15]曾伟生,陈新云,蒲莹,等.基于国家森林资源清查数据的不同生物量和碳储量估计方法的对比分析[J].林业科学研究,2018, 31(1): 66-71.
[16]沈楚楚.浙江省主要树种(组)生物量转换因子研究[D].杭州: 浙江农林大学, 2013.
[17]江苏省林业局.江苏省第八次森林资源清查成果报告[R].南京:江苏省林业局, 2011.
[18]FANG J Y, GUO Z D, PIAO S L, et al. Terrestrial vegetation carbon sinks in China, 1981-2000[J]. Science in China Series D: Earth Sciences,2007, 50(9): 1341-1350.
[19]刘国华,傅伯杰,方精云.中国森林碳动态及其对全球碳平衡的贡献[J].生态学报,2000, 20(5):733-740.
[20]方精云,刘国华,徐嵩龄.我国森林植被的生物量和净生产量[J].生态学报, 1996,16(5): 497-508.
[21]李玉敏,冯鹏飞.基于第九次全国森林资源清查的中国竹资源分析[J].世界竹藤通讯, 2019, 17(6): 45-47.
[22]国家林业局调查规划设计院.全国林业碳汇计量与监测技术指南[S].北京:国家林业局, 2011.
[23]雷海清,孙高球,郑得利.温州市森林生态系统碳储量研究[J]. 南京林业大学学报(自然科学版), 2022, 46(5): 20-26.
[24]杨加猛,杜丽永,蔡志坚,等.江苏省森林碳储量的区域分布研究[J].中南林业科技大学学报, 2014, 34(7): 84-89.
[25]林虹,马旭,何再华,等.江苏省森林生态系统碳汇现状研究[J].林业资源管理, 2014(1): 89-97.
[26]仲启铖,傅煜,张桂莲.上海市乔木林生物量估算及动态分析[J].浙江农林大学学报, 2019, 36(3): 524-532.
[27]王美霞,刘玲,吕文利.上海乔木林分碳储量比较分析研究[J].环境科学与管理,2013, 38(5):174-177.
[28]温小荣,蒋丽秀,刘磊,等.江苏省森林生物量与生产力估算及空间分布格局分析[J].西北林学院学报,2014, 29(1): 36-40.

相似文献/References:

[1]吴思思,邢 玮,葛之葳.人工林碳储量及影响因子研究进展[J].江苏林业科技,2017,44(06):47.[doi:10.3969/j.issn.1001-7380.2017.06.013]

备注/Memo

备注/Memo:
收稿日期：2024-03-17;修回日期：2024-04-07
基金项目：江苏省林业科技创新与推广项目“苏南丘陵岗地人工林高固碳复合生态系统新模式研究”（LYKJ[2022]05）；江苏省林业局揭榜挂帅项目“江苏典型森林生态系统生物多样性和碳储量本底调查评估与生态价值核算”（LYKJ[2022]01）
作者简介：叶军（1975-），男，江苏泰兴人，研究员级高级工程师。主要从事林业技术研究和推广工作。E-mail: 2317042991@qq.com
*通信作者：何冬梅（1983-），女，四川泸州人，副研究员。主要从事林业碳汇研究工作。E-mail: 95550594@qq.com
更新日期/Last Update: 2024-07-30