Assessing the differences in net primary productivity between pre- and post-urban land development in China

Agricultural and Forest Meteorology

Volumn 171-172, Issue , 2013, Pages 174-186

  Pei, Fengsong ^a   Li, Xia ^a   Liu, Xiaoping ^a   Wang, Shujie ^a   He, Zhijian ^a  

^a SUN YAT SEN UNIVERSITY   (China)

Author keywords

CASA; China; Net primary productivity; Urban land development

Indexed keywords

CARBON CYCLE; GLOBAL CHANGE; HEAT ISLAND; NET PRIMARY PRODUCTION; SPATIOTEMPORAL ANALYSIS; TERRESTRIAL ECOSYSTEM; URBAN DEVELOPMENT; URBANIZATION;

CHINA;

EID: 84874259797     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2012.12.003     Document Type: Article

References (62)

1. Alberti M. The effects of urban patterns on ecosystem function. Int. Reg. Sci. Rev. 2005, 28:p168.
2. Angel S., Sheppard S.C., Civco D.L., Buckley R., Chabaeva A., Gitlin L., Kraley A., Parent J., Perlin M. The Dynamics of Global Urban Expansion 2005, vol. 1. Transport and Urban Development Department, The World Bank, p. 3.
3. Buyantuyev A., Wu J. Urbanization alters spatiotemporal patterns of ecosystem primary production: a case study of the Phoenix metropolitan region, USA. J. Arid Environ. 2009, 73:512-520.
4. Chen L.J., Liu G.H., Fen X.F. Estimation of net primary productivity of terrestrial vegetation in china by remote sensing. Acta Bot. Sin. 2001, 43:1191-1198.
5. Chen X.L., Zhao H.M., Li P.X., Yin Z.Y. Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sens. Environ. 2006, 104:133-146.
6. Committee on Natural Division Sciences Climatic Regionalization of China 1959, Science Press, Beijing.
7. Cramer W., Kicklighter D.W., Bondeau A., Iii B.M., Churkina G., Nemry B., Ruimy A., Schloss A.L. Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Glob. Change Biol. 1999, 5:1-15.
8. Davies Z.G., Edmondson J.L., Heinemeyer A., Leake J.R., Gaston K.J. Mapping an urban ecosystem service: quantifying above-ground carbon storage at a city-wide scale. J. Appl. Ecol. 2011, 1-10.
9. DeFries R.S., Houghton R.A., Hansen M.C., Field C.B., Skole D., Townshend J. Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s. Proc. Natl. Acad. Sci. U.S.A. 2002, 99:14256.
10. Ding J., Xu Y., Pan G. Effect of urbanization on regional precipitation in suzhou-wuxi-changzhou area. Resour. Environ. Yangtze Basin 2010, 19:873-877.
11. Editorial Board of Vegetation Map of China Vegetation Atlas of China (1:1,000,000) 2001, Science Press, Beijing.
12. Fang J.Y., Guo Z.D., Piao S.L., Chen A.P. Terrestrial vegetation carbon sinks in China, 1981-2000. Sci. China Ser. D: Earth Sci. 2007, 50:1341-1350.
13. Feng X., Liu G., Chen J.M., Chen M., Liu J., Ju W.M., Sun R., Zhou W. Net primary productivity of China's terrestrial ecosystems from a process model driven by remote sensing. J. Environ. Manage. 2007, 85:563-573.
14. Field C.B., Randerson J.T., Malmstr C.M. Global net primary production: combining ecology and remote sensing. Remote Sens. Environ. 1995, 51:74-88.
15. Freddy N., Harrij V.V., Luc V. Harmonized World Soil Database 2008, Food and Agriculture Organization of the United Nations.
16. Goerner A., Reichstein M., Tomelleri E., Hanan N., Rambal S., Papale D., Dragoni D., Schmullius C. Remote sensing of ecosystem light use efficiency with MODIS-based PRI. Biogeosciences 2011, 8:189-202.
17. Gong P. China needs no foreign help to feed itself. Nature 2011, 474.
18. Gregg J.W., Jones C.G., Dawson T.E. Urbanization effects on tree growth in the vicinity of New York City. Nature 2003, 424:183-187.
19. Grimm N.B., Faeth S.H., Golubiewski N.E., Redman C.L., Wu J., Bai X., Briggs J.M. Global change and the ecology of cities. Science 2008, 319:p756.
20. Hilker T., Hall F.G., Coops N.C., Lyapustin A., Wang Y., Nesic Z., Grant N., Black T.A., Wulder M.A., Kljun N. Remote sensing of photosynthetic light-use efficiency across two forested biomes: spatial scaling. Remote Sens. Environ. 2010, 114:2863-2874.
21. Huang B.W. A preliminary scheme for comprehensive physical regionalization in China. Acta Geogr. Sin. 1958, 24:348-365.
22. Huang Y., Sun W. Changes in topsoil organic carbon of croplands in mainland China over the last two decades. Chin. Sci. Bull. 2006, 51:1785-1803.
23. Imhoff M.L., Bounoua L., DeFries R., Lawrence W.T., Stutzer D., Tucker C.J., Ricketts T. The consequences of urban land transformation on net primary productivity in the United States. Remote Sens. Environ. 2004, 89:434-443.
24. Inoue Y., Peñuelas J. Relationship between light use efficiency and photochemical reflectance index in soybean leaves as affected by soil water content. Int. J. Remote Sens. 2006, 27:5109-5114.
25. Jin Z., Qi Y.C., Dong Y.S. Storage of biomass and net primary productivity in desert shrubland of Artemisia ordosica on Ordos Plateau of Inner Mongolia, China. J. Forestry Res. 2007, 18:298-300.
26. Jing F. Application of 3S technology to the updating survey of land. 2009 International Conference on Environmental Science and Information Application Technology, IEEE 2009.
27. Kaye J.P., McCulley R.L., Burke I.C. Carbon fluxes, nitrogen cycling, and soil microbial communities in adjacent urban, native and agricultural ecosystems. Glob. Change Biol. 2005, 11:575-587.
28. Li X., Chen Y., Liu X., Li D., He J. Concepts, methodologies, and tools of an integrated geographical simulation and optimization system. Int. J. Geogr. Inf. Sci. 2011, 25:633-655.
29. Li X., Shi X., He J., Liu X. Coupling simulation and optimization to solve planning problems in a fast-developing area. Ann. Assoc. Am. Geographers 2011, 99999:p1.
30. Li X., Yeh A.G.O. Neural-network-based cellular automata for simulating multiple land use changes using GIS. Int. J. Geogr. Inf. Sci. 2002, 16:323-343.
31. Li X. Measurement of rapid agricultural land loss in the Pearl River Delta with the integration of remote sensing and GIS. Environ. Plan. B: Plan. Des. 1998, 25:447-461.
32. Liu J., Liu M., Tian H., Zhuang D., Zhang Z., Zhang W., Tang X., Deng X. Spatial and temporal patterns of China's cropland during 1990-2000: an analysis based on Landsat TM data. Remote Sens. Environ. 2005, 98:442-456.
33. Lobell D.B., Hicke J.A., Asner G.P., Field C.B., Tucker C.J., Los S.O. Satellite estimates of productivity and light use efficiency in United States agriculture, 1982-98. Glob. Change Biol. 2002, 8:722-735.
34. Lu D., Xu X., Tian H., Moran E., Zhao M., Running S.W. The effects of urbanization on net primary productivity in southeast China. Environ. Manage. 2010, 46:404-410.
35. Luo, T.X., 1996. Patterns of net primary productivity for Chinese major forest types and its mathematical models. Ph.D. Thesis. Chinese Academy of Sciences, pp. 45-170.
36. Milesi C., Elvidge C.D., Nemani R.R., Running S.W. Assessing the impact of urban land development on net primary productivity in the southeastern United States. Remote Sens. Environ. 2003, 86:401-410.
37. Monteith J.L. Solar radiation and productivity in tropical ecosystems. J. Appl. Ecol. 1972, 9:747-766.
38. Myneni R.B., Dong J., Tucker C.J., Kaufmann R.K., Kauppi P.E., Liski J., Zhou L., Alexeyev V., Hughes M.K. A large carbon sink in the woody biomass of northern forests. Proc. Natl. Acad. Sci. U.S.A. 2001, 98:p14784.
39. Ni J. Net primary productivity in forests of China: scaling-up of national inventory data and comparison with model predictions. Forest Ecol. Manage. 2003, 176:485-495.
40. Ni J. Estimating net primary productivity of grasslands from field biomass measurements in temperate northern China. Plant Ecol. 2004, 174:217-234.
41. Nichol C.J., Huemmrich K.F., Black T.A., Jarvis P.G., Walthall C.L., Grace J. Remote sensing of photosynthetic-light-use efficiency of boreal forest. Agric. Forest Meteorol. 2000, 101:131-142.
42. Piao S.L., Fang J.Y., Guo Q.H. Application of CASA model to the estimation of Chinese terrestrial net primary productivity. Acta Phytoecol. Sin. 2001, 25:603-608.
43. Piao S.L., Fang J.Y., Zhu B., Tan K. Forest biomass carbon stocks in China over the past 2 decades: estimation based on integrated inventory and satellite data. J. Geophys. Res. - Biogeosci. 2005, 110.
44. Potter C.S., Randerson J.T., Field C.B., Matson P.A., Vitousek P.M., Mooney H.A., Klooster S.A. Terrestrial ecosystem production: a process model based on global satellite and surface data. Glob. Biogeochem. Cycles 1993, 7:811-841.
45. Propastin P.A., Kappas M.W., Herrmann S.M., Tucker C.J. Modified light use efficiency model for assessment of carbon sequestration in grasslands of Kazakhstan: combining ground biomass data and remote-sensing. Int. J. Remote Sens. 2012, 33:1465-1487.
46. Running S.W., Thornton P.E., Nemani R., Glassy J.M. Global terrestrial gross and net primary productivity from the earth observing system. Methods Ecosyst. Sci. 2000, 44-57.
47. Russell G., Jarvis P.G., Monteith J.L. Absorption of radiation by canopies and stand growth. Plant Canopies: Their Growth Form and Function 1989, Cambridge University Press, Cambridge, UK.
48. Sun R., Zhu Q.J. Distribution and seasonal change of net primary productivity in China from April, 1992 to March, 1993. Acta Geogr. Sin. 2000, 55:36-45.
49. Thornthwait W.C. An approach toward rational classificatíon of climate. Geogr. Rev. 1948, 38:55-94.
50. Togtohyn C., Ojima D. NPP Grassland: Tumentsogt, Mongolia, 1982-1990 1996, Oak Ridge National Laboratory Distributed Active Archive Center, Tennessee, USA.
51. Trusilova K., Churkina G. The response of the terrestrial biosphere to urbanization: land cover conversion, climate, and urban pollution. Biogeosciences 2008, 5:1505-1515.
52. Verburg P.H., Soepboer W., Veldkamp A., Limpiada R., Espaldon V., Mastura S.S.A. Modeling the spatial dynamics of regional land use: the CLUE-S model. Environ. Manage. 2002, 30:391-405.
53. Wang G.L., Wu B., Jia C.L., Yang Q.L., Sheng Y.B. Grassland vegetation characteristics of shrub-grass land in Wufeng mountain area of Ji'nan City. Bull. Soil Water Conserv. 2011, 31:228-237.
54. Wang G., Cheng G. The characteristics of water resources and the changes of the hydrological process and environment in the arid zone of northwest China. Environ. Geol. 2000, 39:783-790.
55. Wang Y.P., Houlton B.Z. Nitrogen constraints on terrestrial carbon uptake: implications for the global carbon-climate feedback. Geophys. Res. Lett. 2009, 36:pL24403.
56. Weng Q. Land use change analysis in the Zhujiang Delta of China using satellite remote sensing GIS and stochastic modelling. J. Environ. Manage. 2002, 64:273-284.
57. Wu C., Niu Z., Tang Q., Huang W. Revised photochemical reflectance index (PRI) for predicting light use efficiency of wheat in a growth cycle: validation and comparison. Int. J. Remote Sens. 2010, 31:2911-2924.
58. Xu C., Liu M., An S., Chen J.M., Yan P. Assessing the impact of urbanization on regional net primary productivity in Jiangyln County, China. J. Environ. Manage. 2007, 85:597-606.
59. Yu D., Shao H.B., Shi P.J., Zhu W.Q., Pan Y.Z. How does the conversion of land cover to urban use affect net primary productivity? A case study in Shenzhen city, China. Agric. Forest Meteorol. 2009, 149:2054-2060.
60. Yu Y.W., Hu Z.Z., Zhang D.G., Xu C.L. The net primary productivity of potentilla fruticosa shrub. Acta Pratacult. Sin. 2000, 9:33-39.
61. Zhu W., Pan Y., He H., Yu D., Hu H. Simulation of maximum light use efficiency for some typical vegetation types in China. Chin. Sci. Bull. 2006, 51:457-463.
62. Zhu W.Q., Pan Y.Z., Zhang J.S. Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing. J. Plant Ecol. 2007, 31:413-424.