温州市森林生态系统碳储量研究

doi:10.12302/j.issn.1000-2006.202108043

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南京林业大学学报（自然科学版） ›› 2022, Vol. 46 ›› Issue (5): 20-26.doi: 10.12302/j.issn.1000-2006.202108043

所属专题： “双碳”视域下的生态系统固碳增汇（2）

• 专题报道：“双碳”视域下的生态系统固碳增汇（2）（执行主编阮宏华李萍萍） • 上一篇下一篇

温州市森林生态系统碳储量研究

雷海清¹^,²(), 孙高球³, 郑得利⁴

1.浙江省亚热带作物研究所,浙江温州 325005
2.丽水职业技术学院,浙江丽水 323000
3.平阳县林业技术指导站,浙江平阳 325400
4.国营浙江省永嘉县四海山林场,浙江永嘉 325115

收稿日期:2021-08-30 修回日期:2022-01-20 出版日期:2022-09-30 发布日期:2022-10-19
基金资助:
中央财政林业科技推广示范项目((2016)TS 08)

Carbon storage of forest ecosystem in Wenzhou City, Zhejiang Province, China

LEI Haiqing¹^,²(), SUN Gaoqiu³, ZHENG Deli⁴

1. Zhejiang Province Subtropical Crops Institute, Wenzhou 325005, China
2. Lishui Vocantional and Technical College,Lishui 323000,China
3. Pingyang County Forest Technical Station of Zhejiang Province, Pingyang 325400, China
4. Yongjia County State Sihaishan Forest Farm of Zhejiang Province,Yongjia 325115,China

Received:2021-08-30 Revised:2022-01-20 Online:2022-09-30 Published:2022-10-19

摘要/Abstract

摘要：

【目的】对浙江省温州市森林生态系统碳储量进行研究,摸清区域森林碳储量现状,为区域碳汇功能的评价提供基础数据。【方法】基于温州市2018年森林资源年度监测的马尾松林、其他松林、杉木林、柳杉林、柏木林、硬阔林、针叶混交林、阔叶混交林、针阔混交林、毛竹林等10种主要类型的森林资源监测数据,以及30个调查样地的实测数据,用平均生物量转换因子法计算不同森林类型的碳储量和碳密度,同时采用Pearson相关分析法对不同森林生态系统各组分之间有机碳储量进行相关性分析。【结果】2018年,温州市森林生态系统碳储量为81.70 Tg, 其中乔木层18.46 Tg,灌草层1.55 Tg,凋落物层1.02 Tg和土壤层60.67 Tg,分别占生态系统碳储量的22.60%、1.89%、1.25%和74.26%。温州市的森林生态系统碳密度为123.81 t/hm²,其中乔木层27.98 t/hm²,灌草层2.34 t/hm²,凋落物层1.54 t/hm²和土壤层91.95 t/hm²,土壤有机碳库为植被有机碳库的2.88倍。乔木层和土壤层有机碳储量是温州市森林生态系统的主要碳库,占全部森林生态系统有机碳储量的96.86%。乔木层碳密度最大的是柏木林,达到46.06 t/hm²;阔叶混交林碳密度最低,为20.50 t/hm²;土壤层中,碳密度最大的为柳杉林,达到136.97 t/hm²;最小的为其他松木林,为49.38 t/hm²。不同林分生态系统碳密度有一定差异,其中柳杉林碳密度最大(185.42 t/hm²),最低的是马尾松林(83.34 t/hm²)。各组分碳储量相关性分析表明,乔木层与凋落物层碳储量呈显著正相关关系(P<0.05),土壤层碳储量与森林生态系统碳储量呈极显著相关关系 (P<0.01),说明土壤层对整个生态系统碳储量的贡献最大。其他各组分之间相关关系均达不到显著水平。【结论】温州市森林生态系统碳密度略高于浙江省平均水平,但是低于全国平均水平,因此可以通过合理的森林经营管理措施提高森林碳密度。

关键词: 碳储量, 碳密度, 森林生态系统, 浙江省温州市

Abstract:

【Objective】The carbon storage of a forest ecosystem in Wenzhou City, Zhejiang Province was studied to understand the current situation of forest ecosystem carbon storage and provide data for the evaluation of the regional carbon sink function.【Method】Based on monitoring data from the 10 main forest resource types in Pinus massoniana forest, other pine forest, Cunninghamia lanceolata forest, Cryptomeria japonica var. sinensis forest, Cupressus funebris forest, hardwood forest, mixed coniferous forest, mixed broadleaved forest, mixed coniferous and broadleaved forest, and Phyllostachys edulis forest in Wenzhou City in 2018, as well as the data measured from 30 survey sample plots, the carbon storage and carbon density were calculated for different forest types by using the average biomass conversion factor method. The Pearson correlation analysis method was used to analyze the correlation of organic carbon storage among the different forest ecosystem components.【Result】The carbon storage of the forest ecosystem in Wenzhou City was 81.70 Tg, including 18.46 Tg in the tree layer, 1.55 Tg in the shrub and grass layer, 1.02 Tg in the litter layer, and 60.67 Tg in the soil layer, accounting for 22.60%, 1.89%, 1.25%, and 74.26% of the carbon storage of the ecosystem, respectively. The carbon density of the forest ecosystem in Wenzhou was 123.81 t/hm², including 27.98 t/hm² in the tree layer, 2.34 t/hm² in the shrub and grass layer, 1.54 t/hm² in the litter layer, and 91.95 t/hm² in the soil layer. The soil organic carbon pool was 2.88 times that of the vegetation organic carbon pool. The organic carbon storage of the tree layer and the soil layer represented the main carbon pool of the forest ecosystem, accounting for 96.86% of the total organic carbon storage. In the arbor layer, the highest carbon density was recorded in the cypress forest (46.06 t/hm²) and the lowest carbon density was in the broadleaved mixed forest (20.50 t/hm²). In the soil layer, the highest carbon density was the Cryptomeria japonica var. sinensis forest (136.97 t/hm²) and the lowest was the other pine forests (49.38 t/hm²). There were some differences in the carbon density of the stand ecosystem for different species. The Cryptomeria japonica var. sinensis forest had the highest carbon density (185.42 t/hm²) and the Pinus massoniana forest had the lowest carbon density (83.34 t/hm²). There was a significant correlation between the carbon storage of the tree layer and the litter layer (P < 0.05). There was a highly significant correlation between the carbon storage of the soil layer and the carbon storage of the forest ecosystem (P < 0.01). This indicated that the soil layer contributed the most to the carbon storage of the entire ecosystem. The correlation between other components did not reach a significant level.【Conclusion】The carbon density of the forest ecosystem in Wenzhou was slightly higher than the average level in Zhejiang Province, but was lower than the average level of China. Therefore, improving the forest carbon density through sustainable forest management will be the focus of carbon sequestration forestry in the future in Wenzhou.

Key words: carbon storage, carbon density, forest ecosystem, Wenzhou City, Zhejiang Province

中图分类号:

S757

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.

LEI Haiqing, SUN Gaoqiu, ZHENG Deli. Carbon storage of forest ecosystem in Wenzhou City, Zhejiang Province, China[J].Journal of Nanjing Forestry University (Natural Science Edition), 2022, 46(5): 20-26.DOI: 10.12302/j.issn.1000-2006.202108043.

图/表 3

表1

表2

表3

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林分类型 forest type	面积/hm² area	蓄积量/m³ volume	a/ (t·m^-3)	b/ (t·hm^-2)	林分各层含碳率/% carbon fraction
林分类型 forest type	面积/hm² area	蓄积量/m³ volume	a/ (t·m^-3)	b/ (t·hm^-2)	乔木 tree layer	灌木 shrub layer	草本 herb layer	凋落物 litter layer
马尾松林Pinus massoniana forest	146 572	10 163 854	0.503 4^[8]	20.547 0^[8]	52.0	46.7	32.7	48.1
其他松类林other pines and coniferous forest	6 987	410 749	0.516 8^[8]	33.238 0^[8]	51.8	46.2	33.4	47.5
杉木林Cunninghamia lanceolata forest	15 107	1 324 424	0.465 2^[8]	19.141 0^[8]	51.6	45.3	34.1	46.8
柳杉林Cryptomeria japonica var. sinensis forest	9 883	1 193 940	0.415 8^[4]	41.331 8^[4]	52.0	47.4	33.1	47.4
柏木林Cupressus funebris forest	353	26 476	0.612 9^[4]	46.145 1^[4]	52.1	43.2	32.1	44.1
硬阔林hardwood forest	160 600	7 304 069	1.178 3^[8]	2.558 5^[8]	48.2	41.3	29.1	45.1
针叶混交林mixed coniferous forest	82 222	5 226 114	0.589 4^[10]	24.515 1^[10]	52.5	45.3	31.1	46.7
阔叶混交林mixed broadleaved forest	50 301	1 831 203	0.978 8^[8]	5.376 4^[8]	47.8	42.6	30.5	46.6
针阔混交林mixed coniferous and broadleaved forest	131 451	6 426 617	0.813 6^[4]	18.466 0^[4]	51.3	44.5	32.1	46.8
毛竹林Phyllostachys edulis forest	56 398	—	—	—	53.1	41.0	32.8	45.1

林分类型 forest type	面积/ hm² area	碳密度/(t·hm^-2) carbon density					生态系统碳储量/Tg forest ecosystem carbon storage
林分类型 forest type	面积/ hm² area	乔木层 tree layer	灌草层 shrub-herb layer	调落物层 litter layer	土壤层 soil layer	森林生态系统 forest ecosystem	生态系统碳储量/Tg forest ecosystem carbon storage
马尾松林 Pinus massoniana foest	146 572	27.73±1.25	2.37±0.59	1.59±0.34	51.65±6.61	83.34	12.21
其他松木林 other pines and coniferous forest	6 987	31.81±2.28	1.66±0.68	0.74±0.17	49.38±8.12	83.60	0.58
杉木林 Cunninghamia lanceolata forest	15 107	29.96±1.41	1.30±0.68	1.63±0.41	88.32±20.54	121.21	1.83
柳杉林 Cryptomeria japonica var. sinensis forest	9 883	45.78±3.89	0.24±0.12	2.43±0.44	136.97±43.80	185.42	1.83
柏木林 Cupressus funebris forest	353	46.06±4.05	1.61±0.28	2.91±0.98	62.53±15.23	113.12	0.04
硬阔林 hardwood forest	160 600	28.07±1.98	1.83±1.30	1.39±0.59	126.82±43.80	158.11	25.39
针叶混交林 mixed coniferous forest	82 222	30.99±2.76	1.75±0.43	1.06±0.23	89.14±8.64	122.94	10.11
阔叶混交林 mixed broadleaved forest	50 301	20.50±2.08	1.45±0.67	1.23±0.36	87.82±18.96	111.00	5.58
针阔混交林 mixed coniferous and broadleaved forest	131 451	29.12±2.26	4.39±1.32	2.05±0.55	109.34±20.87	144.89	19.05
毛竹林 Phylbstachy edulis forest	56 398	23.78±2.13	1.36±0.97	1.56±0.18	63.17±10.69	89.87	5.07

指标 index	乔木层 tree layer	灌草层 shrub- herb layer	凋落物层 litter layer	土壤层 soil layer	森林生态系统 forest ecosystem
乔木层tree layer	1	-0.319	0.717^*	0.200	0.437
灌草层shrub-herb layer		1	-0.180	-0.068	-0.111
凋落物层litter layer			1	0.244	0.422
土壤层soil layer				1	0.968^**
森林生态系统 forest ecosystem					1

温州市森林生态系统碳储量研究

Carbon storage of forest ecosystem in Wenzhou City, Zhejiang Province, China

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