西双版纳农田弃耕后橡胶园的建立对碳的固存作用 (英文)

doi:10.17521/cjpe.2005.0038

摘要/Abstract

摘要：

由于温室气体的大量排放引起的全球气候变暖等环境问题日益严重, 近年来人们开始考虑通过植被和土壤的碳固存, 以缓解大气中CO2 浓度的升高速度, 减缓温室效应的影响。有研究表明, 热带原始森林的保护和人工林的建立能有效地固存大气中的碳。但是, 在建立热带种植园和人工林以固存大气CO2 的可行性及其碳的固存潜力大小等方面还存在较大争议。云南省西双版纳自治州是我国重要的热带地区之一, 目前橡胶 (Heveabrasiliensis) 园的面积为 1.3× 10 5hm2, 约占该地区林地面积的 14 %。在本研究中, 选择 11块在弃耕后的农田上建立的橡胶园 (定植年限为3至 38年 ), 初步探讨了橡胶园建立后植被和土壤中碳的固存规律。两个生物量模型 (唐建维等的模型和Brown模型 ) 的模拟结果显示, 橡胶园建立后植被中生物量的平均增长速率分别为 10.2× 10 3 和 9.4× 10 3 kg·hm-2 ·a-1, 4 0和10 0cm表层土壤碳的平均固存速率分别为 0.6 1× 10 3 和 0.72× 10 3 kgC·hm-2 ·a-1, 植被和 10 0cm表层土壤中碳的平均固存速率为 5.82× 10 3 和 5.4 2× 10 3 kgC·hm-2 ·a-1, 而定植 4 0年后植被和 10 0cm表层土壤碳的固存潜力为 2 32.8× 10 3 和 2 16.8× 10 3 kgC·hm-2 。对两个模型的比较结果显示, 唐建维等的模型生物量计算结果明显高于Brown模型, 尤其是在对中幼龄橡胶园生物量估算时更是如此。

关键词: 生物量, 碳固存, 土地利用变化, 橡胶园, 土壤有机碳

Abstract:

The ability for vegetation and soil organic matter (SOM) to sequester atmospheric CO 2 has received a lot of attention recently. Two management options being considered for enhancing C sequestration from the atmosphere include tropical forest conservation and establishment of plantations; however, there is still considerable debate regarding the appropriateness of using plantations and the sequestration potential of tropical plantations. There are 1.3×10 5 hm 2 of rubber trees (Hevea brasiliensis) plantations in Xishuangbanna, southwest China, which account for approximately 14% of the forest lands in this region. In this study, eleven plantations of different ages were selected to investigate C sequestration in the vegetation and soils following the establishment of rubber tree plantations on former arable lands. The results indicated that the average biomass growth rates of the rubber trees, calculated according to two different biomass growth equations, were 10.2×10 3 and 9.4×10 3 kg t·hm -2 ·a -1. Soil C stocks in the top 40 cm and 1 m of soil increased at rates of 0.61×10 3 and 0.72×10 3 kg t C·hm -2 ·a -1, respectively. In total, C sequestration was approximately 5.82×10 3 to 5.42×10 3 kg t C·hm -2 ·a -1 in the vegetation and soil as calculated by the two biomass growth models. When comparing the two models, our results showed that the biomass calculated based on the equation of Tanget al.was higher than that based on the equation of Brown, especially in young- and middle-aged rubber tree plantations.

Key words: Biomass, Carbon sequestration, Land use change, Rubber tree plantation, Soil organic carbon

杨景成, 黄建辉, 唐建维, 潘庆民, 韩兴国. 西双版纳农田弃耕后橡胶园的建立对碳的固存作用 (英文). 植物生态学报, 2005, 29(2): 296-303. DOI: 10.17521/cjpe.2005.0038

YANG Jing-Cheng, HUANG Jian-Hui, TANG Jian-Wei, PAN Qing-Min, HAN Xing-Guo. CARBON SEQUESTRATION IN RUBBER TREE PLANTATIONS ESTABLISHED ON FORMER ARABLE LANDS IN XISHUANGBANNA, SW CHINA. Chinese Journal of Plant Ecology, 2005, 29(2): 296-303. DOI: 10.17521/cjpe.2005.0038

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https://www.plant-ecology.com/CN/Y2005/V29/I2/296

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Site	Age (a)	Location	Altitude (m)	Aspect	Slope	Soil type	Biomass (10³ kg·hm^-2)		Soil C stocks (×10³ kg C·hm^-2) (cm)
Site	Age (a)	Location	Altitude (m)	Aspect	Slope	Soil type	Biomass_1	Biomass_2	0-20	0-40	0-100
Guanlei	3	21°42′N, 101°15′E	895	Northeast	5°	Latosols	6.8	3.1	43.8	73.7	133.4
Menglun	3	21°55′N, 101°15′E	750	South	5°	Latosols	7.4	3.6	46.8	86.2	179.0
Daka	4	21°53′N, 101°14′E	750	Southeast	15°	Latosols	9.6	5.8	55.8	92.6	147.7
Jinghong	6	21°43′N, 100°44′E	530	South	5°	Latosols	24.5	16.1	45.5	91.5	176.9
Guanlei	7	21°42′N, 101°15′E	870	Northeast	10°	Latosols	34.2	24.5	42.3	84.2	154.9
Menglun	11	21°54′N, 101°16′E	600	East	5°	Latosols	63.8	48.8	46.1	84.9	170.8
Chengzi	16	21°55′N, 101°14′E	580	East	20°	Latosols	124.8	95.0	34.4	63.4	126.4
Menglun	16	21°53′N, 101°19′E	650	West	10°	Latosols	140.5	106.1	37.2	62.1	112.5
Mengla	21	21°33′N, 101°34′E	710	Northeast	15°	Latosols	222.6	165.1	51.8	96.9	202.5
Mengxing	28	21°55′N, 101°17′E	550	West	15°	Latosols	267.3	232.2	35.2	60.0	111.4
Jinghong	38	21°51′N, 100°22′E	800	Southeast	10°	Latosols	340.0	326.5	37.9	73.5	142.5

Site	Age (a)	Location	Altitude (m)	Aspect	Slope	Soil type	Biomass (10³ kg·hm^-2)		Soil C stocks (×10³ kg C·hm^-2) (cm)
Site	Age (a)	Location	Altitude (m)	Aspect	Slope	Soil type	Biomass_1	Biomass_2	0-20	0-40	0-100
Guanlei	3	21°42′N, 101°15′E	895	Northeast	5°	Latosols	6.8	3.1	43.8	73.7	133.4
Menglun	3	21°55′N, 101°15′E	750	South	5°	Latosols	7.4	3.6	46.8	86.2	179.0
Daka	4	21°53′N, 101°14′E	750	Southeast	15°	Latosols	9.6	5.8	55.8	92.6	147.7
Jinghong	6	21°43′N, 100°44′E	530	South	5°	Latosols	24.5	16.1	45.5	91.5	176.9
Guanlei	7	21°42′N, 101°15′E	870	Northeast	10°	Latosols	34.2	24.5	42.3	84.2	154.9
Menglun	11	21°54′N, 101°16′E	600	East	5°	Latosols	63.8	48.8	46.1	84.9	170.8
Chengzi	16	21°55′N, 101°14′E	580	East	20°	Latosols	124.8	95.0	34.4	63.4	126.4
Menglun	16	21°53′N, 101°19′E	650	West	10°	Latosols	140.5	106.1	37.2	62.1	112.5
Mengla	21	21°33′N, 101°34′E	710	Northeast	15°	Latosols	222.6	165.1	51.8	96.9	202.5
Mengxing	28	21°55′N, 101°17′E	550	West	15°	Latosols	267.3	232.2	35.2	60.0	111.4
Jinghong	38	21°51′N, 100°22′E	800	Southeast	10°	Latosols	340.0	326.5	37.9	73.5	142.5