三江源植被净初级生产力估算研究进展

doi:10.11821/dlxb201609011

地理学报 ›› 2016, Vol. 71 ›› Issue (9): 1596-1612.doi: 10.11821/dlxb201609011

三江源植被净初级生产力估算研究进展

孙庆龄^1,²(), 李宝林^1,^2,⁴(), 李飞³, 张志军³, 丁玲玲³, 张涛^1,², 许丽丽^1,²

1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101
2. 中国科学院大学,北京 100049
3. 青海省生态环境遥感监测中心,西宁 810007
4. 江苏省地理信息资源开发与利用协同创新中心,南京 210023

收稿日期:2016-03-09 修回日期:2016-03-24 出版日期:2016-11-25 发布日期:2016-11-25
作者简介:
作者简介：孙庆龄(1991-), 女, 安徽阜阳人, 博士生, 主要研究方向为生态建模。E-mail: fuqiao_sun@163.com
基金资助:
国家重点研发计划项目(2016YFC0500205);国家重点基础研究发展计划(973)(2015CB954103, 2015CB 954101)

Review on the estimation of net primary productivity of vegetation in the Three-River Headwater Region, China

Qingling SUN^1,²(), Baolin LI^1,^2,⁴(), Fei LI³, Zhijun ZHANG³, Lingling DING³, Tao ZHANG^1,², Lili XU^1,²

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Remote Sensing Monitoring Center of Qinghai Ecology and Environment, Xining 810007, China
4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

Received:2016-03-09 Revised:2016-03-24 Online:2016-11-25 Published:2016-11-25
Supported by:
National Key Research and Development Program of China, No.2016YFC0500205;National Basic Research Program of China (973 Program), No.2015CB954103, No.2015CB954101

摘要/Abstract

摘要：

植被净初级生产力（NPP）作为重要的植被参数和生态指标,能够直观地反映生态环境的变化和区域碳收支水平。鉴于三江源特殊的地理环境和战略地位,众多学者曾应用不同的方法对三江源植被NPP进行了估算,但是由于各方面原因,NPP估算结果存在较大差异。目前,虽在三江源地区开展了大量NPP估算研究,但尚未有相关文章对这些研究进行汇总并加以分析和评价。因此,本文在前人研究成果的基础上,通过综述已有文献,对三江源植被NPP估算的相关方法与结果进行了系统地总结,探讨不同方法在三江源地区的适用性,指出已有方法存在的主要问题,并对现有NPP估算结果进行评估分析,最后提出了未来三江源NPP估算研究亟待加大研究力度的方向。

关键词: 三江源, 净初级生产力（NPP）, 估算方法, NPP模型, 生态参数

Abstract:

As the "Water Tower of China", the Three-River Headwater Region (TRHR) is an important ecological shelter for national security and regional sustainable development for many Southeast Asian countries and the middle or lower reaches of main rivers in China. The TRHR has typical high and cold environment and alpine vegetation system. Net primary productivity (NPP), as a key vegetation parameter and ecological indicator, can reflect the natural environment change and the carbon budget level intuitively. Given the particular geographic environment and strategic position of the TRHR, many scholars have estimated NPP of the TRHR using different methods. For various reasons, however, the estimated NPP varies greatly. At present, a great deal of research involving NPP estimation has been conducted on the TRHR, but no paper has been published to summarize and assess these studies. Therefore, this paper (1) summarized systematically the related methods and results of NPP estimation in the TRHR by review of previous researches; (2) discussed the suitability of existing methods to the TRHR and pointed out the main problems; and (3) assessed the estimated NPP results. Finally, the development directions of NPP estimation in the TRHR were prospected.

Key words: Three-River Headwater Region (TRHR), net primary productivity (NPP), estimation methods, NPP models, ecological parameters

孙庆龄, 李宝林, 李飞, 张志军, 丁玲玲, 张涛, 许丽丽. 三江源植被净初级生产力估算研究进展[J]. 地理学报, 2016, 71(9): 1596-1612.

Qingling SUN, Baolin LI, Fei LI, Zhijun ZHANG, Lingling DING, Tao ZHANG, Lili XU. Review on the estimation of net primary productivity of vegetation in the Three-River Headwater Region, China[J]. Acta Geographica Sinica, 2016, 71(9): 1596-1612.

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研究范围	植被类型	模型方法	研究时段	平均NPP(gC/m²/yr)	参考文献
三江源全区	草地	气候模型(Thornthwaite Memorial)	2002-2010年	481.44	李惠梅等^[25]
三江源全区	草地	气候模型(气候生产潜力模型)	1971-2003年	225.00	李惠梅^[27]
三江源全区	草地	气候模型(Miami模型)	2005-2006年	211.92	王翀^[29]
三江源全区	草地	气候模型(CIM模型)	2005-2006年	214.75	王翀^[29]
三江源全区	草地	遥感模型(CASA模型)	2005-2006年	61.42	王翀^[29]
三江源全区	草地	遥感—过程耦合模型 (MOD17A3算法)	2005-2006年	93.98	王翀^[29]
三江源全区	草地	遥感—过程耦合模型 (MOD17A3算法)	2000-2010年	86.80	张继平等^[55]
三江源全区	全部植被	气候模型(Thornthwaite Memorial)	1960-2011年	570.35	郭佩佩等^[24]
三江源全区	全部植被	气候模型(Miami模型)	2004-2008年	486.90	蔡雨恋等^[38]
三江源全区	全部植被	气候模型(周广胜模型)	2004-2008年	302.45	蔡雨恋等^[38]
三江源全区	全部植被	遥感模型(CASA模型)	2001-2010年	169.02	张颖等^[36]
三江源全区	全部植被	遥感模型(CASA模型)	2004-2008年	168.68	蔡雨恋等^[38]
三江源全区	全部植被	遥感模型(CASA模型)	2010年	146.66	沃笑等^[39]
三江源全区	全部植被	遥感模型(CASA模型)	2003年、2008年、2013年	148.82	陈利军^[40]
三江源全区	全部植被	遥感模型(GLOPEM模型)	1988-2004年	194.85	邵全琴等^[14]
三江源全区	全部植被	遥感—过程耦合模型(GLOPEM-CEVSA模型)	1988-2004年	143.17	王军邦等^[53]

植被类型	平均NPP(gC/m²/yr)
植被类型	邵全琴等^[14]	蔡雨恋等^[38]	沃笑等^[39]	王军邦等^[53]	郭晓寅等^[54]
草地	218.74	/	162.87	160.90	/
高寒草原	/	129.41	/	/	79.34
高寒草甸	/	188.95	/	/	89.38
森林	405.20	/	279.81	267.90	/
灌丛	156.04	/	/	/	/
农田	289.22	/	256.28	222.94	/
荒漠	21.48	/	62.81	36.13	/
湿地	127.09	/	/	161.36	/

研究地点	纬度	经度	高程(m)	植被类型	研究时段	NPP(gC/m²/yr)	数据来源
称多县珍秦镇	33°24′30′′N	97°18′00′′E	4250	高寒草甸	2010、2011	118.41	范月君^[15]*
治多县五道梁地区	35°12′56′′N	93°04′05′′E	4626	高寒草原	2000	53.55	Luo等^[16]*
唐古拉山乡沱沱河镇	34°18′51′′N	92°32′52′′E	4582	高寒草原	2000	69.30	Luo等^[16]*
玛沁县大武镇	34°23′24′′N	100°16′33′′E	3980	高寒草甸	2014	139.07	课题组自测
玛多县城附近	34°54′40′′N	98°11′13′′E	4207	高寒草原	2015	113.23	课题组自测

高寒草甸	高寒草原	温性草原	沼泽湿地	参考文献	获取方式
4.15	/	/	/	范月君^[15]	野外实测
6.8	5.2	/	/	Yang等^[76]	野外实测
7.917	4.420	4.325	/	Luo等^[77]	野外实测
7.92	4.25	4.25	15.68	朴世龙等^[78]	文献总结
9.19	9.49	9.19	/	王娓等^[79]	文献总结
6.5	6.2	6.4	/	马安娜等^[80]	文献总结

三江源植被净初级生产力估算研究进展

Review on the estimation of net primary productivity of vegetation in the Three-River Headwater Region, China

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