Assessing the impact of urbanization on regional net primary productivity in Jiangyin County , China

Urbanization is one of the most important aspects of global change. The process of urbanization has a significant impact on the terrestrial ecosystem carbon cycle. The Yangtze Delta region has one of the highest rates of urbanization in China. In this study, carried out in Jiangyin County as a representative region within the Yangtze Delta, land use and land cover changes were estimated using Landsat TM and ETM+ imagery. With these satellite data and the BEPS process model (Boreal Ecosystem Productivity Simulator), the impacts of urbanization on regional net primary productivity (NPP) and annual net primary production were assessed for 1991 and 2002. Landsat-based land cover maps in 1991 and 2002 showed that urban development encroached large areas of cropland and forest. Expansion of residential areas and reduction of vegetated areas were the major forms of land transformation in Jiangyin County during this period. Mean NPP of the total area decreased from 818 to 699 gCm 2 yr 1 during the period of 1991 to 2002. NPP of cropland was only reduced by 2.7% while forest NPP was reduced by 9.3%. Regional annual primary production decreased from 808GgC in 1991 to 691GgC in 2002, a reduction of 14.5%. Land cover changes reduced regional NPP directly, and the increasing intensity and frequency of human-induced disturbance in the urbanized areas could be the main reason for the decrease in forest NPP. r 2006 Elsevier Ltd. All rights reserved.

[1]  Dominique Bachelet,et al.  DYNAMIC SIMULATION OF TREE–GRASS INTERACTIONS FOR GLOBAL CHANGE STUDIES , 2000 .

[2]  Jing M. Chen,et al.  Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications , 1999 .

[3]  J. Chen Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands , 1996 .

[4]  Christopher B. Field,et al.  Combining satellite data and biogeochemical models to estimate global effects of human‐induced land cover change on carbon emissions and primary productivity , 1999 .

[5]  Timothy G. F. Kittel,et al.  Regional Analysis of the Central Great Plains , 1991 .

[6]  Toby N. Carlson,et al.  The impact of land use — land cover changes due to urbanization on surface microclimate and hydrology: a satellite perspective , 2000 .

[7]  S. Running,et al.  A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes , 1988 .

[8]  Pan Jian-jun Soil Available Water Capacity and it's Empirical and Statistical Models -with s Special Reference to Black Soils in Northeast China , 2003 .

[9]  Jonathan A. Foley,et al.  Net primary productivity in the terrestrial biosphere: The application of a global model , 1994 .

[10]  S. Running,et al.  Assessing the impact of urban land development on net primary productivity in the southeastern United States , 2003 .

[11]  Torbjörn Rydberg,et al.  Impact of production intensity on the ability of the agricultural landscape to generate ecosystem services: an example from Sweden , 1999 .

[12]  L. Mann,et al.  CHANGES IN SOIL CARBON STORAGE AFTER CULTIVATION , 1986 .

[13]  Nicola Fohrer,et al.  Long-term land use changes in a mesoscale watershed due to socio-economic factors — effects on landscape structures and functions , 2001 .

[14]  N. Myers Questions of mass extinction , 1993, Biodiversity & Conservation.

[15]  Robert J. Scholes,et al.  Observations and modeling of biomass and soil organic matter dynamics for the grassland biome worldwide , 1993 .

[16]  John S. Kimball,et al.  BIOME-BGC simulations of stand hydrologic processes for BOREAS , 1997 .

[17]  M. Alberti The Effects of Urban Patterns on Ecosystem Function , 2005 .

[18]  Hong Jiang,et al.  The classification of late seral forests in the Pacific Northwest, USA using Landsat ETM+ imagery , 2004 .

[19]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[20]  Patrick J. Crist,et al.  Assessing land-use impacts on biodiversity using an expert systems tool , 2004, Landscape Ecology.

[21]  Ray R. Weil,et al.  Land use effects on soil quality in a tropical forest ecosystem of Bangladesh. , 2000 .

[22]  J. Chen,et al.  A process-based boreal ecosystem productivity simulator using remote sensing inputs , 1997 .

[23]  C. Rosenzweig,et al.  Effects of anthropogenic intervention in the land hydrologic cycle on global sea level rise , 1997 .

[24]  Pamela A. Matson,et al.  HUMAN APPROPRIATION OF THE PRODUCTS OF PHOTOSYNTHESIS , 1986 .

[25]  K. Trenberth,et al.  Modern Global Climate Change , 2003, Science.

[26]  Taylor H. Ricketts,et al.  The consequences of urban land transformation on net primary productivity in the United States , 2004 .

[27]  J. Berry,et al.  A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species , 1980, Planta.

[28]  E. Rastetter,et al.  Potential Net Primary Productivity in South America: Application of a Global Model. , 1991, Ecological applications : a publication of the Ecological Society of America.

[29]  W. Cohen,et al.  Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, U.S.A. , 1995 .

[30]  M. Tamura,et al.  Integrating remotely sensed data with an ecosystem model to estimate net primary productivity in East Asia , 2002 .

[31]  Daniel J. Jacob,et al.  Effects of tropical deforestation on global and regional atmospheric chemistry , 1991 .

[32]  R. Detwiler,et al.  Land use change and the global carbon cycle: the role of tropical soils , 1986 .

[33]  S. Running,et al.  Contrasting Climatic Controls on the Estimated Productivity of Global Terrestrial Biomes , 1998, Ecosystems.

[34]  H. Mooney,et al.  Human Domination of Earth’s Ecosystems , 1997, Renewable Energy.

[35]  Compton J. Tucker,et al.  The use of multisource satellite and geospatial data to study the effect of urbanization on primary productivity in the United States , 2013, IEEE Trans. Geosci. Remote. Sens..

[36]  Jing M. Chen,et al.  Quantifying the effect of canopy architecture on optical measurements of leaf area index using two gap size analysis methods , 1995, IEEE Trans. Geosci. Remote. Sens..

[37]  S. Sader,et al.  Detection of forest harvest type using multiple dates of Landsat TM imagery , 2002 .

[38]  J. Chen,et al.  Net primary productivity distribution in the BOREAS region from a process model using satellite and surface data , 1999 .

[39]  S. Sterling,et al.  Human Appropriation of Photosynthesis Products , 2001, Science.

[40]  David O. Wallin,et al.  Rates and patterns of landscape change between 1972 and 1988 in the Changbai Mountain area of China and North Korea , 1997, Landscape Ecology.

[41]  H. R. Sinclair,et al.  Assessing the Impact of Land Conversion to Urban Use on Soils with Different Productivity Levels in the USA , 2001 .

[42]  P. Vitousek Beyond Global Warming: Ecology and Global Change , 1994 .

[43]  J. Thomlinson,et al.  Suburban growth in Luquillo, Puerto Rico: some consequences of development on natural and semi-natural systems. , 2000 .

[44]  J. Lean,et al.  Simulation of the regional climatic impact of Amazon deforestation , 1989, Nature.

[45]  Thomas M. Smith,et al.  A global land primary productivity and phytogeography model , 1995 .

[46]  C. D. Keeling,et al.  Global net carbon exchange and intra‐annual atmospheric CO2 concentrations predicted by an ecosystem process model and three‐dimensional atmospheric transport model , 1996 .

[47]  R. Houghton Terrestrial sources and sinks of carbon inferred from terrestrial data , 1996 .