1 |
Lin H L, Feng Q S, Liang T G,et al. Modelling global-scale potential grassland changes in spatio-temporal patterns to global climate change[J]. International Journal of Sustainable Development & World Ecology,2013,20(1):83-96.
|
2 |
Department of Animal Husbandry and Veterinary, Ministry of Agriculture, PRC.Grassland Resources in China[M]. Beijing: China Agricultural Science and Technology Press, 1996.
|
2 |
中华人民共和国农业部畜牧兽医司. 中国草地资源[M]. 北京: 中国农业科学技术出版社, 1996.
|
3 |
Wu Jinghua. Study on grassland degeneration in China[J]. Ecological Economy,1995,11(5):1-6.
|
3 |
吴精华. 中国草原退化的分析及其防治对策[J]. 生态经济, 1995,11(5):1-6.
|
4 |
Xie Gaodi, Zhang Yili, Lu Chunxia, et al. Study on valuation of rangeland ecosystem services of China[J]. Journal of Natural Resources, 2001, 16(1): 47-53.
|
4 |
谢高地, 张钇锂, 鲁春霞, 等. 中国自然草地生态系统服务价值[J]. 自然资源学报, 2001, 16(1): 47-53.
|
5 |
Zou Yarong, Zhang Zengxiang, Zhao Xiaoli, et al. Analysis of grassland resource dynamics in China, arid region supported by RS and GIS[J]. Research of Environmental Sciences,2003,16(1):19-26.
|
5 |
邹亚荣,张增祥,赵晓丽,等. GIS支持下我国干旱区草地资源动态分析[J]. 环境科学研究,2003,16(1):19-26.
|
6 |
State Environmental Protection Administration.China Environmental Status Bulletin[R], 2005.国家环境保护总局. 中国环境状况公报[R], 2005.
|
7 |
Bai Yongfei, Zhao Yujie, Wang Yang, et al. Assessment of ecosystem services and ecological regionalization of grasslands support establishment of ecological security barriers in northern China[J]. Bulletin of the Chinese Academy of Sciences, 2020,35(6):675-689.
|
7 |
白永飞, 赵玉金, 王扬, 等. 中国北方草地生态系统服务评估和功能区划助力生态安全屏障建设[J]. 中国科学院院刊, 2020,35(6):675-689.
|
8 |
Liu J, Chen J M, Cihlar J, et al. Net primary productivity distribution in the BOREAS region from a process model using satellite and surface data[J]. Journal of Geophysical Research Atmospheres, 1999, 104(D22): 27735-27754.
|
9 |
Zhang Meiling, Jiang Wenlan, Chen Quangong, et al. Research progress in the estimation models of grassland net primary productivity[J]. Acta Agrestia Sinica, 2011,19(2):356-366.
|
9 |
张美玲, 蒋文兰, 陈全功, 等. 草地净第一性生产力估算模型研究进展[J]. 草地学报, 2011,19(2):356-366.
|
10 |
Monteith J L. Solar Radiation and productivity in tropical ecosystems[J]. Journal of Applied Ecology,1972,9(3):747-766.
|
11 |
Monteith J L, Moss C J. Climate and the efficiency of crop production in Britain[J]. Philosophical Transactions of the Royal Society of London Series B, Biological Sciences, 1977, 281(980): 277-294.
|
12 |
Prince S D, Goward S N. Global primary production: A remote sensing approach[J]. Journal of Biogeography, 1995, 22(4/5): 815-835.
|
13 |
Xiao X M, Hollinger D, Aber J, et al. Satellite-based modeling of gross primary production in an evergreen needleleaf forest[J]. Remote Sensing of Environment, 2004, 89(4): 519-534.
|
14 |
Veroustraete F, Sabbe H, Eerens H. Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data[J]. Remote Sensing of Environment, 2002, 83(3): 376-399.
|
15 |
Turner D P, Ritts W D, Styles J M, et al. A diagnostic carbon flux model to monitor the effects of disturbance and interannual variation in climate on regional NEP[J]. Tellus B: Chemical and Physical Meteorology, 2006, 58(5): 476-490.
|
16 |
Running S W, Thornton P E, Nemani R, et al. Global terrestrial gross and net primary productivity from the earth observing system[M]. Methods in Ecosystem Science,2000:44-57.
|
17 |
Yuan W P, Liu S G, Zhou G S, et al. Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes[J]. Agricultural and Forest Meteorology, 2007, 143(3-4): 189-207.
|
18 |
Potter C S, Randerson J T, Field C B, et al. Terrestrial ecosystem production: A process model based on global satellite and surface data[J]. Global Biogeochemical Cycles, 1993, 7(4): 811–841.
|
19 |
Gower S T, Kucharik C J, Norman J M. Direct and indirect estimation of leaf area index, fAPAR, and net primary production of terrestrial ecosystems[J]. Remote Sensing of Environment, 1999, 70(1): 29-51.
|
20 |
Gao B C. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space[J]. Remote Sensing of Environment, 1996, 58(3): 257-266.
|
21 |
Schell J A. Monitoring vegetation systems in the great plains with ERTS[J]. Nasa Special Publication, 1973, 351:309.
|
22 |
Huete A R, Liu H Q, Batchily K,et al. A comparison of vegeta-tion indices over a global set of TM images for EOS-MODIS[J]. Remote Sensing of Environment,1997,59(3):440-451.
|
23 |
Huete A, Didan K, Miura T, et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices[J]. Remote Sensing of Environment, 2002, 83(1-2):195-213.
|
24 |
Wang C, Chen J, Wu J, et al. A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems[J]. Remote Sensing of Environment, 2017, 196: 1-12.
|
25 |
Gan L Q, Cao X, Chen J, et al. Comparison of winter wheat spring phenology extraction by various remote sensing vegetation indices and methods[M]. IEEE International Geoscience and Remote Sensing Symposium,2019:6302-6305.
|
26 |
Gan L Q, Cao X, Chen X H, et al. Comparison of MODIS-based vegetation indices and methods for winter wheat green-up date detection in Huanghuai region of China[J]. Agricultural and Forest Meteorology, 2020,288-289:108019. DOI: .
doi: 10.1016/j.agrformet.2020.108019
|
27 |
Huang K, Zhang Y J, Tagesson T, et al. The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau[J]. Science of the Total Environment,2021:756. DOI: .
doi: 10.1016/j.scitotenv.2020.144011
|
28 |
Chen X H, Guo Z F, Chen J, et al. Replacing the red band with the Red-SWIR band (0.74(red)+0.26(swir)) can reduce the sensitivity of vegetation indices to soil background[J]. Remote Sensing,2019,11(7):1-15.
|
29 |
Xu D W, Wang C, Chen J, et al. The superiority of the Normalized Difference Phenology Index (NDPI) for estimating grassland aboveground fresh biomass[J]. Remote Sensing of Environment,2021,264:112578. DOI: .
doi: 10.1016/J.RSE.2021. 112578
|
30 |
Yuan W P, Cai W W, Xia J Z, et al. Global comparison of light use efficiency models for simulating terrestrial vegetation gross primary production based on the LaThuile database[J]. Agricultural and Forest Meteorology,2014,192-193:108-20.
|
31 |
Feng Yiming, Yao Aidong, Jiang Lina. Improving the CASA model and applying it to estimate the net primary productivity of arid region ecology system.[J]. Journal of Arid Land Resources and Environment, 2014, 28(8):39-43.
|
31 |
冯益明,姚爱冬,姜丽娜.CASA模型的改进及在干旱区生态系统NPP估算中的应用[J]. 干旱区资源与环境, 2014, 28(8):39-43.
|
32 |
Zhang Meiling, Jiang Wenlan, Chen Quangong, et al. Use improved CASA model to estimate the maximum light use efficiency of of class in grassland comprehensive and sequential classification system[J]. Grassland and Turf, 2012, 32(4):60-66.
|
32 |
张美玲,蒋文兰,陈全功,等. 基于改进的CASA模型模拟草原综合顺序分类体系各类的最大光能利用率[J]. 草原与草坪, 2012, 32(4):60-66.
|
33 |
Wang H, Li X, Ma M, et al. Improving estimation of gross primary production in dryland ecosystems by a model-data fusion approach[J]. Remote Sensing,2019,11(3):225. DOI: .
doi: 10.3390/rs11030225
|
34 |
He H L, Xiao X M, Ren X L, et al. Large-scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands[J]. Journal of Geophysical Research: Biogeosciences,2013,119(3):466-486. DOI: .
doi: 10.1002/2013JG 002449
|
35 |
Zheng Yi. Light use efficiency based gross primary productivity estimation and uncertainty analysis[D]. Beijing: The University of Chinese Academy of Sciences, 2017.
|
35 |
郑艺. 基于光能利用率模型的植被总初级生产力估算及其不确定性分析[D]. 北京: 中国科学院, 2017.
|
36 |
Madani N, Kimball J S, Running S W, et al. Improving global gross primary productivity estimates by computing optimum light use efficiencies using flux tower data[J]. Journal of Geophysical Research: Biogeosciences, 2017. DOI: .
doi: 10.1002/2017JG004142
|
37 |
Lian Xiaomei. Opening Practice during the process of revitalization in Northeast China: General strategy and countermeasures[J]. Northeast Asia Forum, 2007,16(5):34-37.
|
37 |
廉晓梅. 东北振兴过程中的对外开放:总体思路与对策[J]. 东北亚论坛, 2007,16(5):34-37.
|
38 |
Mao Dehua, Wang Zongming, Han Jixing, et al. Spatio-temporal pattern of net primary productivity and its driven factors in Northeast China in 1982~2010[J]. Chinese Geographical Science, 2012, 32(9): 1106-1111.
|
38 |
毛德华, 王宗明, 韩佶兴, 等. 1982~2010年中国东北地区植被NPP时空格局及驱动因子分析[J]. 地理科学,2012,32(9):1106-1111.
|
39 |
Tang Huan, Li Zhenwang, Ding Lei, et al. Validation of GPP remote sensing products using eddy covariance flux observations in the grassland area of China[J]. Pratacultural Science, 2018, 35 (11): 2568-2583.
|
39 |
唐欢, 李振旺, 丁蕾,等. 基于地面涡度数据的中国草原区 GPP遥感产品验证[J]. 草业科学, 2018, 35(11):2568-2583.
|
40 |
Vermote E, Kotchenova S Y, Ray J P. MODIS surface reflectance user's guide collection 6 [S]. Version 1.4, 2015, 11-40.
|
41 |
Gao B C. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space[J]. Remote Sensing of Environment, 1996, 58(3): 257-266. DOI: .
doi: 10.1016/S0034-4257(96)00067-3
|
42 |
Wang C, Chen J, Wu J, et al. A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems[J]. Remote Sensing of Environment, 2017, 196: 1-12. DOI: .
doi: 10.1016/j.rse.2017.04.031
|
43 |
Moncrieff J B, Malhi Y, Leuning R.The propagation of errors in long‐term measurements of land‐atmosphere fluxes of carbon and water[J]. Global Change Biology,1996,2(3):231-240.
|