Combining LPJ-GUESS and HASM to simulate the spatial distribution of forest vegetation carbon stock in China
查看参考文献31篇
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文摘
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It is very important in accurately estimating the forests’ carbon stock and spatial distribution in the regional scale because they possess a great rate in the carbon stock of the terrestrial ecosystem. Yet the current estimation of forest carbon stock in the regional scale mainly depends on the forest inventory data, and the whole process consumes too much labor, money and time. And meanwhile it has many negative influences on the forest carbon storage updating. In order to figure out these problems, this paper, based on High Accuracy Surface Modeling (HASM), proposes a forest vegetation carbon storage simulation method. This new method employs the output of LPJ-GUESS model as initial values of HASM and uses the inventory data as sample points of HASM to simulate the distribution of forest carbon storage in China. This study also adopts the seventh forest resources statistics of China as the data source to generate sample points, and it also works as the simulation accuracy test. The HASM simulation shows that the total forest carbon storage of China is 9.2405 Pg, while the calculated value based on forest resources statistics are 7.8115 Pg. The forest resources statistics is taken based on a forest canopy closure, and the result of HASM is much more suitable to the real forest carbon storage. The simulation result also indicates that the southwestern mountain region and the northeastern forests are the important forest carbon reservoirs in China, and they account for 39.82% and 20.46% of the country’s total forest vegetation carbon stock respectively. Compared with the former value (1975–1995), it manifests that the carbon storage of the two regions do increase clearly. The results of this research show that the large-scale reforestation in the last decades in China attains a significant carbon sink. |
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来源
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Journal of Geographical Sciences
,2014,24(2):249-268 【核心库】
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DOI
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10.1007/s11442-014-1086-2
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关键词
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forest carbon storage
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initial value
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sample points
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LPJ-GUESS
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HASM
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地址
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1.
Institute of Geographic Sciences and Natural Resources Research, CAS, State Key Laboratory of Resources and Environment Information System, Beijing, 10010
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School of Geography and Tourism, Qufu Normal University, Rizhao, 276800
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National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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1009-637X |
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基金
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国家863计划
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National Key Technologies R&D Program of the Ministry of Science and Technology of China
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文献收藏号
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CSCD:5039690
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参考文献 共
31
共2页
|
|
1.
Alexeyev V. Carbon in vegetation of Russian forest: Methods to estimate storage and geographical distribution.
Water, Air and Soil Pollution,1995,82:271-282
|
被引
38
次
|
|
|
|
|
2.
Bonan G B. Evaluating aspects of the community land and atmosphere models (CLM3 and CAM3) using a dynamic global vegetation model.
Journal of Climate,2006,19(11):2290-2301
|
被引
18
次
|
|
|
|
|
3.
Department of Forest Resources Management of National Forestry Bureau (DFRMNFB).
Forest Resources Statistics of China,2010
|
被引
1
次
|
|
|
|
|
4.
Detwiler R P. Tropical forests and the global carbon cycle.
Science,1988,239:42-47
|
被引
42
次
|
|
|
|
|
5.
Doherty R M. Implications of future climate and atmospheric CO2 content for regional biogeochemistry, biogeography and ecosystem services across East Africa.
Global Change Biology,2010,16(2):617-640
|
被引
10
次
|
|
|
|
|
6.
Fang J Y. Changes in forest biomass carbon storage in China between 1949 and 1998.
Science,2001,292:2320-2322
|
被引
693
次
|
|
|
|
|
7.
Fang J Y.
Storage, distribution and transfer of the biogenic carbon in China. The 1st IGAC Conference,1993
|
被引
1
次
|
|
|
|
|
8.
Fang J Y. Forest biomass of China: An estimation based on the biomass-volume relationship.
Ecological Applications,1998,8:1084-1091
|
被引
116
次
|
|
|
|
|
9.
Houghton R A. Land-use change and the carbon cycle.
Global Change Biology,1995,1:275-287
|
被引
42
次
|
|
|
|
|
10.
Kogan F N. Evolution of long-term errors in NDVI time series: 1985-1999.
Advances in Space Research,2001,28(1):149-153
|
被引
8
次
|
|
|
|
|
11.
Kramer P J. Carbon dioxide concentration, photosynthesis, and dry matter production.
BioScience,1981,31:29-33
|
被引
72
次
|
|
|
|
|
12.
Li H K.
Estimation and Evaluation of Forest Biomass Carbon Storage in China,2012
|
被引
1
次
|
|
|
|
|
13.
Li H K. Forest carbon storage in China estimated using forestry inventory data.
Scientia Silvae Sinicae,2011,47(7):7-12
|
被引
7
次
|
|
|
|
|
14.
Liu S N. The estimating of the spatial distribution of forest biomass in China based on remote sensing and downscale techniques.
Acta Ecologica Sinica,2012,32(8):2320-2330
|
被引
2
次
|
|
|
|
|
15.
Morales P. Computing and evaluating process-based ecosystem model predictions of carbon and water fluxes in major European forest biomes.
Global Change Biology,2005,11(12):2211-2233
|
被引
16
次
|
|
|
|
|
16.
Olson J S.
Carbon in live vegetation of major world ecosystems. Report ORNL-5862,1983:15-25
|
被引
3
次
|
|
|
|
|
17.
Piao S L. Forest biomass carbon stocks in China over the past 2 decades: Estimation based on integrated inventory and satellite data.
Journal of Geophysical Research,2005,110:G01006
|
被引
12
次
|
|
|
|
|
18.
Post W M. Soil pools and world life zones.
Nature,1982,298:156-159
|
被引
542
次
|
|
|
|
|
19.
Shi W J. Surface modeling of soil pH.
Geoderma,2009,150(1/2):113-119
|
被引
33
次
|
|
|
|
|
20.
Sitch S. Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs).
Global Change Biology,2008,14(9):2015-2039
|
被引
39
次
|
|
|
|
|
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