Modeling changes of net primary productivity of karst vegetation in southwestern China using the CASA model

Shengtai Xuebao/ Acta Ecologica Sinica

Volumn 31, Issue 7, 2011, Pages 1855-1866

  Dong, Dan ^a,b   Ni, Jian ^a  

^a INSTITUTE OF BOTANY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

CASA model; Climate variables; Karst; Maximum light use efficiency; NDVI; Net primary productivity (NPP)

Indexed keywords

CLIMATE CONDITIONS; DIGITAL ELEVATION MODEL; ECOSYSTEM MODELING; ENVIRONMENTAL RESTORATION; GLOBAL CHANGE; GRASSLAND; KARST; LIGHT USE EFFICIENCY; NDVI; NET PRIMARY PRODUCTION; REMOTE SENSING; SHRUB; SPATIAL RESOLUTION; TROPICAL FOREST; VEGETATION DYNAMICS; WATER STRESS;

CHINA;

EID: 79955565582     PISSN: 10000933     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (30)

1. Ruimy A, Saugier B, Dedieu G. Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research, 1994, 99(D3): 5263-5283.
2. Cramer W, Kicklighter D W, Bondeau A, Moore III B, Churkina G, Nemry B, Ruimy A, Schloss AL, the Participants of the Potsdam NPP Model Intercomparison. Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Global Change Biology, 1999, 5(Suppl. 1): 1-15.
3. Scurlock J M O, Cramer W, Olson R J, Parton W J, Prince S D. Terrestrial NPP: towards a consistent data set for global model evaluation. Ecological Applications, 1999, 9(3): 913-919.
4. Peng S L, Guo Z H, Wang B S. Lse of GIS and RS to estimate the light utilization efficiency of the vegetation in Guangdong, China. Acta Ecologica Sinica, 2000, 20(6): 903-909.
5. Nemani R R, Keeling C D, Hashimoto H, Jolly W M, Piper S C, Tucker C J, Myneni R B, Running S W. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science, 2003, 300(5625): 1560-1563.
6. Dixon R K, Brown S, Houghton R A, Solomon A M, Trexler M C, Wisniewski J. Carbon pools and flux of global forest ecosystems. Science, 1994, 263(5144): 185-190.
7. Ricotta C, Avena G, De Palma A. Mapping and monitoring net primary productivity with AVHRR NDVI time-series: statistical equivalence of cumulative vegetation indices. International Society for Photogrammetry and Remote Sensing (ISPRS) Journal of Photogramm, Remote Sensing, 1999, 54(5/6): 325-331.
8. Potter C S, Randerson J T, Field C B, Matson P A, Vitousek P M, Mooney H A, Klooster S A. Terrestrial ecosystemproduction: a process model based on global satellite and surface data. Global Biogeochemical Cycles, 1993, 7(4): 811-841.
9. Field C B, Randerson J T, Malmstrom C M. Global net primary production: combining ecology and remote sensing. Remote Sensing of Environment, 1995, 51(1): 74-88.
10. Piao S L, Fang J Y, Guo Q H. Application of CASA model to the estimation of Chinese terrestrial net primary productivity. Acta Phytoecologica Sinica, 2001, 25(5): 603-608.
11. Chen L J, Liu G H, Li H G. Estimation net primary productivity of terrestrial vegetation in China using remote sensing. Journal of Remote Sensing, 2002, 6(2): 129-135.
12. Hicke J A, Asner G P, Randerson J T, Tucker C J, Los S O, Birdsey R A, Jenkins J C, Field C, Holland E. Satellite-drived increases in net primary productivity across North America, 1982-1998. Geophysical Research Letters, 2002, 29: 1427-1431.
13. Fang J Y, Piao S L, Field C B, Pan Y D, Guo Q H, Zhou L M, Peng C H, Tao S. Increasing net primary production in China from 1982 to 1999. Frontiers in Ecology and the Environment, 2003, 1(6): 293-297.
14. Zhu W Q, Chen Y H, Pan Y Z, Li J. Estimation of light utilization efficiency of vegetation in China based on GIS and RS. Geomatics and Information Science of Wuhan Lniversity, 2004, 29(8): 694-698.
15. Zhu W Q, Pan Y Z, Long Z H, Chen Y H, Li J, Hu H B. Estimation net primary productivity of terrestrial vegetation based on GIS and RS: a case study in inner Mongolia, China. Journal of Remote Sensing, 2005, 9(3): 300-307.
16. Yu D Y, Shi P J, Shao H B, Zhu W Q, Pan Y Z. Modelling net primary productivity of terrestrial ecosystems in East Asia based on an improved CASA ecosystem model. International Journal of Remote Sensing, 2009, 30(18): 4851-4866.
17. Zhu S Q. The Ecological Research on Karst Forest I. Guiyang: Guizhou Science and Technology Press, 1993: 1-50.
18. Xiong K N, Li P, Zhou Z F, An Y L, Lv T, Lan A J. RS & GIS case studies of karst rocky desertification. Beijing: Geology Press, 2002: 17-18.
19. Yang H K, Cheng S Z. Study on biomass of the Karst forest community in Maolan, Guizhou Province. Acta Ecologica Sinica, 1991, 11(4): 307-312.
20. Tu Y L, Yang J. Study on biomass of the Karst scrub communities in central region of Guizhou Province. Carsologica Sinica, 1995, 14(3): 199-207.
21. Zhu S Q, Wei L M, Chen Z R, Zhang C G. A preliminary study on biomass components of Karst forest in Maolan of Guizhou Province, China. Acta Phytoecologica Sinica, 1995, 19(4): 358-367.
22. Wang B, Yang S T, Wang Y J. Estimation on net primary productivity of vegetation in karst area of Guizhou Province. Carsologica Sinica, 2007, 26(2): 98-104.
23. Wang J, Meng J J, Cai Y L. Assessing vegetation dynamics impacted by climate change in the southwestern karst region of China with AVHRR NDVI and AVHRR NPP time-series. Environmental Geology, 2008, 54(6): 1185-1195.
24. Luo T X. Patterns of net primary productivity for Chinese major forest types and their mathematical models. Beijing: Commission for Comprehensive Survey of Natural Resources, Chinese Academy of Sciences, 1996.
25. Feng Z W, Wang X K, Wu G. Biomass and Primary Productivity of Forest Ecosystems in China. Beijing: Science Press, 1999: 191-196.
26. Ni J, Zhang X S, Scurlock J M O. Synthesis and analysis of biomass and net primary productivity in Chinese forests. Annals of Forest Science, 2001, 58(4): 351-384.
27. Ni J. Net primary productivity in forests of China: scaling-up of national inventory data and comparison with model predictions. Forest Ecology and Management, 2003, 176(1/3): 485-495.
28. Ni J. Forage yield-based carbon storage in grasslands of China. Climatic Change, 2004, 67(2/3): 237-246.
29. Hutchinson M F. ANLSPLIN Version 4. 36 User Guide. Canberra: Centre for Resource and Environmental Studies, The Australian National Lniversity, 2006.
30. Editorial Committee of Vegetation Atlas of China, Chinese Academy of Sciences. The Vegetation Atlas of China (1: 1 000 000). Beijing: Science Press, 2001.