3 Emanuel W R, Shugart H H, Stevenson M P. Climatic change and the broad scale distribution of terrestrial ecosystems complexes. Clim Change, 1985, 7: 29-43
[4]
4 Rik L, Bas E. Another reason for concern: Regional and global impacts on ecosystems for different levels of climate change. Glob Environ Change, 2004, 14: 219-228
[5]
5 Dobson A P, Bradshaw A D, Baker A J M. Hopes for the future: Restoration ecology and conservation biology. Science, 1997, 277: 515-521
[6]
6 Adger W N, Brown K. Land Use and the Causes of Global Warming. New York: John Wiley & Sons, 1994
12 Wright S J. Tropical forests in a changing environment. Trends Ecol Evol, 2005, 20: 553-560
[11]
15 European Environment Agency. Impacts of Europe's changing climate—An indicator-based assessment. Technical Report, EEA& OPOCE, 2004
[12]
18 Ise T, Moorcroft P R. Simulating boreal forest dynamics from perspectives of ecophysiology, resource availability, and climate change, Ecol Res, 2010, 25: 501-511
[13]
19 Pitman A J, Narisma G T, McAneney J. The impact of climate change on the risk of forest and grassland fires in Australia. Clim Change, 2007, 84: 383-401
[14]
20 Urban D L, Harmon M E, Halpern C B. Potential response of Pacific Northwestern forests to climatic change effects of stand age and initial composition. Clim Change, 1993, 23: 247-266
[15]
23 Dixon R K, Wlsniewski J. Global forest systems: An uncertain response to atmospheric pollutants and global climate change? Water Air Soil Pollut,1995, 85: 101-110
[16]
24 Leathwick J R, Whitehead D, McLeod M. Predicting changes in the composition of New Zealand's indigenous forests in response to global warming: A modeling approach. Environ Softw, 1996, 11: 81-90
[17]
26 He H S, Mladenoff D J, Crow T R. Linking an ecosystem model and a landscape model to study forest species response to climate warming. Ecol Model, 1999, 112: 213-233
[18]
27 Scheller R M, Mladenoff D J. A forest growth and biomass module for a landscape simulation model, LANDIS: Design, validation, and application. Ecol Model, 2004, 180: 211-229
[19]
28 Alkemade R, Bakkenes M, Eickhout B. Towards a general relationship between climate change and biodiversity: An example for plant species in Europe. Reg Environ Change, 2011, 11(Suppl 1): S143-S150
47 Katz R W. Assessing the impact of climatic change on food production. Clim Change, 1977, 1: 85-96
[27]
48 Adams R M, Rosenzweig C, Peart R M, et al. Global climate change and US agriculture. Nature, 1990, 345: 219-224
[28]
49 Dai X S, Ding Y H. A modeling study of climate change and its implication for agriculture in China, Part II: The implication of climate change for agriculture in China. Adv Atmos Sci, 1994, 11: 499-506
[29]
50 Smit B, Cai Y L. Climate change and agriculture in China. Glob Environ Change, 1996, 6: 205-214
[30]
56 Motha R P, Baier W. Impacts of present and future climate change and climate variability on agriculture in the temperate regions: North America. Clim Change, 2005, 70: 137-164
[31]
58 Mall R K, Singh R, Gupta A, et al. Impact of climate change on Indian agriculture: A review. Clim Change, 2006, 78: 445-478
[32]
59 Olesen J E, Carter T R, Díaz-Ambrona C H, et al. Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models. Clim Change, 2007, 81: 123-143
[33]
60 Tingem M, Rivington M. Adaptation for crop agriculture to climate change in Cameroon: Turning on the heat. Mitig Adapt Strat Gl, 2009, 14: 153-168
[34]
65 Steffen W, Sims J, Walcott J, et al. Australian agriculture: Coping with dangerous climate change. Reg Environ Change, 2011, 11: S205-S214
[35]
66 Bindi M, Olesen J E. The responses of agriculture in Europe to climate change. Reg Environ Change, 2011, 11(Suppl 1): S151-S158
[36]
67 Fiebig-Wittmaack M, Astudillo O, Wheaton E, et al. Climatic trends and impact of climate change on agriculture in an arid Andean valley. Clim Change, 2012, 111: 819-833
[37]
68 Petrie M D, Brunsell N A, Nippert J B. Climate change alters growing season flux dynamics in mesic grasslands. Theor Appl Climatol, 2012, 107: 427-440
[38]
69 Grasso M, Feola G. Mediterranean agriculture under climate change: Adaptive capacity, adaptation, and ethics. Reg Environ Change, 2012, 12: 607-618
91 Grime J P, Brown V K, Thompson K, et al. The response of two contrasting limestone grasslands to simulated climate change. Science, 2000, 289: 762-764
[50]
92 Silletti A, Knapp A. Long-term responses of the grassland co-dominants Andropogon gerardii and Sorghastrum nutans to changes in climate and management. Plant Ecol, 2002, 163: 15-22
[51]
96 Gao Q Z, Li Y, Wan Y F, et al. Dynamics of alpine grassland NPP and its response to climate change in Northern Tibet. Clim Change, 2009, 97: 515-528
[52]
97 Li H M, Ma Y H, Bai Y F. Using comprehensive and sequential vegetation classification system to predict the influence of climate change on vegetation succession of alpine grassland of Qinghai Plateau. Front Earth Sci China, 2010, 4: 99-104
[53]
100 Di Falco S, Yesuf M, Kohlin G, et al. Estimating the impact of climate change on agriculture in low-income countries: Household level evidence from the Nile Basin, Ethiopia. Environ Resour Econ, 2012, 52: 457-478
[54]
102 Epstein H E, Gill R A, Paruelo J M, et al. The relative abundance of three plant functional types in temperate grasslands and shrublands of North and South America: Effects of projected climate change. J Biogeogr, 2002, 29: 875-888
[55]
103 Xu X L, Liu W, Kiely G. Modeling the change in soil organic carbon of grassland in response to climatechange: Effects of measured versus modelled carbon pools for initializing the Rothamsted Carbon model. Agr Ecosyst Environ, 2011, 140: 372-381
[56]
104 Finger R, Calanca P. Risk management strategies to cope with climate change in grassland production: An illustrative case study for the Swiss plateau. Reg Environ Change, 2011, 11: 935-949
117 Xu C G, Gueneralp B, Gertner G Z, et al. Elasticity and loop analyses: Tools for understanding forest landscape response to climatic change in spatial dynamic models. Landsc Ecol, 2010, 25: 855-871
[62]
119 Mao J F, Wang B, Dai Y J, et al. Improvements of a dynamic global vegetation model and simulations of carbon and water at an upland-oak forest. Adv Atmos Sci, 2007, 24: 311-322
[63]
120 Chambers J Q, Asner G P, Morton D C, et al. Regional ecosystem structure and function: Ecological insights from remote sensing of tropical forests. Trends Ecol Evol, 2007, 22: 414-423
[64]
121 Arieira J, Karssenberg D, de Jong S M, et al. Integrating field sampling, geostatistics and remote sensing to map wetland vegetation in the Pantanal, Brazil. Biogeosciences, 2011, 8: 667-686
[65]
122 Emili E, Popp C, Wunderle S, et al. Mapping particulate matter in alpine regions with satellite and ground-based measurements: An exploratory study for data assimilation. Atmos Environ, 2011, 45: 4344-4353
[66]
123 Chiesi M, Fibbi L, Genesio L, et al. Integration of ground and satellite data to model Mediterranean forest processes. Int J Appl Earth Obs, 2011, 13: 504-515
[67]
125 Matross D M, Andrews A, Pathmathevan M, et al. Estimating regional carbon exchange in New England and Quebec by combining atmospheric, ground-based and satellite data. Tellus B, 2006, 58: 344-358
[68]
127 Hirata M, Koga N, Shinjo H, et al. Measurement of above-ground plant biomass, forage availability and grazing impact by combining satellite image processing and field survey in a dry area of north-eastern Syria. Grass Forage Sci, 2005, 60: 25-33
132 Yue T X, Du Z P, Song D J, et al. A new method of surface modeling and its application to DEM construction. Geomorphology, 2007, 91: 161-172
[72]
133 Yue T X. Surface Modelling: High Accuracy and High Speed Methods. New York: Talyor & Francis, 2010
[73]
134 Yue T X, Song D J, Du Z P, et al. High-accuracy surface modelling and its application to DEM generation. Int J Remote Sens, 2010, 31: 2205-2226
[74]
135 Yue T X, Wang S H. Adjustment computation of HASM: A high-accuracy and high-speed method. Int J Geogr Inf Sci, 2010, 24: 1725-1743
[75]
136 Yue T X, Chen C F, Li B L. An adaptive method of high accuracy surface modeling and its application to simulating elevation surfaces. T GIS, 2010, 14: 615-630
[76]
138 Yue T X, Zhao N, Yang H, et al. The multi-grid method of high accuracy surface modelling and its validation. T GIS, 2013, doi: 10.1111/tgis.12019
[77]
139 Yue T X, Zhao N, Ramsey R D, et al. Climate change trend in China, with improved accuracy. Clim Change, 2013, doi: 10.1007/S10584-013-0785-5
[78]
140 Leenhardt D, Trouvat J L, Gonzalès G, et al. Estimating irrigation demand for water management on a regional scale I. ADEAUMIS, a simulation platform based on bio-decisional modelling and spatial information. Agr Water Manage, 2004, 68: 207-232
[79]
141 Halatsch J, Kunze A, Burkhard R, et al. ETH Future Cities Simulation Platform. In: Konsorski-Lang S, Hampe M, eds. The Design of Material, Organism, and Minds. Berlin: Springer-Verlag, 2010. 95-108
[80]
142 Beer T, Meisen T, Reinhard R, et al. The virtual production simulation platform: From collaborative distributed simulation to integrated visual analysis. Prod Eng Res Devel, 2011, 5: 383-391
11 Pastor J, Post W M. Response of northern forests to CO2-induced climate change. Nature, 1988, 334: 55-58
[83]
13 Cramer W, Bondeau A, Woodward F I, et al. Global response of terrestrial ecosystem structure and function to CO2 and climate change: Results from six dynamic global vegetation models. Glob Change Biol, 2001, 7: 357-373
[84]
14 Clark D A. Detecting tropical forests' responses to global climatic and atmospheric change: Current challenges and a way forward. Biotropica, 2007, 39: 4-19
[85]
16 Solomon S, Qin D, Manning M, et al. Climate change 2007: The physical science basis. Contribution of Working Group I to the fourth assessment report of the Intergovernmental Panel on Climate Change. 2007
[86]
17 Allen C D, Macalady A K, Chenchouni H, et al. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecol Manag, 2010, 259: 660-684
[87]
21 Flannigan M D, Woodward F I. Red pine abundance—Current climatic control and responses to future warming. Can J For Res, 1994, 24: 1166-1175
[88]
22 Sykes M T, Prentice I C. Boreal forest futures-modeling the controls on tree species range limits and transient responses to climate change. Water Air Soil Pollut, 1995 82: 415-428
[89]
25 Iverson L R, Prasad A. Predicting abundance of 80 tree species following climate change in the eastern United States. Ecol Monogr, 1998, 68: 465-485
[90]
29 Yu M, Gao Q, Liu Y H, et al. Responses of vegetation structure and primary production of a forest transect in eastern China to global change. Glob Ecol Biogeogr, 2002, 11: 223-236
[91]
30 Wang X D, Cheng G W, Zhong X H. Assessing potential impacts of climatic change on subalpine forests on the eastern Tibetan Plateau. Clim Change, 2011, 108: 225-241
[92]
31 Canadell J G, Kirschbaum M U F, Kurz W A, et al. Factoring out natural and indirect human effects on terrestrial carbon sources and sinks. Environ Sci Policy, 2007, 10: 370-384
[93]
32 McMahon S M, Dietze M C, Hersh M H, et al. A predictive framework to understand forest responses to global change. Ann NY Acad Sci, 2009, 1162: 221-236
51 El-Shajxr H M, Rosenzweig C, Iglesias A, et al. Impact of climate change on possible scenarios for Egyptian agriculture in the future. Mitig Adapt Strat Gl, 1997, 1: 233-250
[103]
52 Mizina S V, Smith J B, Gossen E, et al. An evaluation of adaptation options for climate change impacts on agriculture in Kazakhstan. Mitig Adapt Strat Gl, 1999, 4: 25-41
[104]
53 Reilly J, Tubiello F, Mccarl B, et al. U.S. agriculture and climate change: New results. Clim Change, 2003, 57: 43-69
[105]
54 Stuczyinski T, Demidowicz G, Deputat T, et al. Adaptation scenarios of agriculture in Poland to future climate changes. Environ Mon Assess, 2000, 61: 133-144
[106]
55 Sivakumar M V K, Das H P, Brunini O. Impacts of present and future climate variability and change on agriculture and forestry in the arid and semi-arid tropics. Clim Change, 2005, 70: 31-72
[107]
57 Thomson A M, Izaurralde R C, Rosenberg N J, et al. Climate change impacts on agriculture and soil carbon sequestration potential in the Huang-Hai Plain of China. Agr Ecosyst Environ, 2006, 114: 195-209
[108]
61 St?ckle C O, Nelson R L, Higgins S, et al. Assessment of climate change impact on Eastern Washington agriculture. Clim Change, 2010, 102: 77-102
[109]
62 Vano J A, Scott M J, Voisin N, et al. Climate change impacts on water management and irrigated agriculture in the Yakima River Basin, Washington, USA. Clim Change, 2010, 102: 287-317
[110]
63 Al-Bakri J, Suleiman A, Abdulla F, et al. Potential impact of climate change on rainfed agriculture of a semi-arid basin in Jordan. Phys Chem Earth, 2010, 35: 125-134
[111]
64 Brown I, Poggio L, Gimona A, et al. Climate change, drought risk and land capability for agriculture: Implications for land use in Scotland. Reg Environ Change, 2011, 11: 503-518
88 Sternberg M, Brown V K, Masters G J, et al. Plant community dynamics in a calcareous grassland under climate change manipulations. Plant Ecol, 1999, 143: 29-37
[121]
89 Coffin D P, Lauenroth W K. Transient responses of North-American grasslands to changes in climate. Clim Change, 1996, 34: 269-278
[122]
90 Rounsevell M D A, Brignall A P, Siddons P A. Potential climate change effects on the distribution of agricultural grassland in England and Wales. Soil Use Manage, 1996, 12: 44-51
[123]
93 Zha Y, Gao J, Zhang Y. Grassland productivity in an alpine environment in response to climate change. Area, 2005, 37: 332-340
[124]
94 Piao S L, Wang X H, Ciais P, et al. Change in satellite derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006. Glob Change Biol, 2006, 17, 3228-3239
[125]
95 Hopkins A, Del Prado A. Implications of climate change for grassland in Europe: Impacts, adaptations and mitigation options: A review. Grass Forage Sci, 2007, 62: 118-126
[126]
98 Qian S, Fu Y, Pan F F. Climate change tendency and grassland vegetation response during the growth season in Three-River Source Region. Sci China Earth Sci, 2010, 53: 1506-1512
[127]
99 Ma W H, Liu Z L, Wang Z H, et al. Climate change alters interannual variation of grassland aboveground productivity: Evidence from a 22-year measurement series in the Inner Mongolian grassland. J Plant Res, 2010, 123: 509-517
111 Andersson K, Evans T P, Richards K R. National forest carbon inventories: Policy needs and assessment capacity. Clim Change, 2009, 93: 69-101
[132]
112 Mather A S, Needle C L, Fairbairn J. The human drivers of global land cover change: The case of forests. Hydrol Process, 1998, 12: 1983-1994
[133]
113 Shafer S L, Bartlein P J, Thompson R S. Potential changes in the distributions of Western North America tree and shrub taxa under future climate scenarios. Ecosystems, 2001, 4: 200-215
[134]
114 Iverson L R, Schwartz M W, Prasad A M. Potential colonization of newly available tree-species habitat under climate change: An analysis for five eastern US species. Landsc Ecol, 2004, 19: 787-799
[135]
115 Clark J S, Dietze M, Agarwal P. Resolving the biodiversity debate. Ecol Lett, 2007, 10: 647-662
[136]
116 Xu C G, Gertner G Z, Scheller R M. Uncertainties in the response of a forest landscape to global climatic change. Glob Change Biol, 2009, 15: 116-131
[137]
118 Galbraith D, Levy P E, Sitch S, et al. Multiple mechanisms of Amazonian forest biomass losses in three dynamic global vegetation models under climate change. New Phytol, 2010, 187: 647-665
[138]
124 Tobin K J, Bennett M E. Using SWAT to model streamflow in two river basins with ground and satellite precipitation data. J Am Water Resour As, 2009, 45: 253-271
[139]
126 Berterretche M, Hudak A T, Cohen W B, et al. Comparison of regression and geostatistical methods for mapping Leaf Area Index (LAI) with Landsat ETM+ data over a boreal forest. Remote Sens Environ, 2005, 96: 49-61
[140]
128 Virtanen T, Mikkola K, Nikula A. Satellite image based vegetation classification of a large area using limited ground reference data: A case study in the Usa Basin, north-east European Russia. Polar Res, 2004, 23: 51-66
[141]
129 Dobermann A, Ping J L. Geostatistical integration of yield monitor data and remote sensing improves yield maps. Agron J, 2004, 96: 285-297
[142]
137 Yue T X, Chen C F, Li B L. A high accuracy method for filling SRTM voids and its verification. Int J Remote Sens, 2012, 33: 2815-2830
[143]
143 Taillandier P, Vo D A, Amouroux E, et al. GAMA: A simulation platform that integrates geographical information data, agent-based modeling and multi-scale control. In: Desai N, Liu A, Winikoff M, eds. Principles and Practice of Multi-Agent Systems. Berlin: Springer-Verlag, 2012. 242-258