Spatial distribution of net primary productivity and evapotranspiration in Changbaishan Natural Reserve, China, using Landsat ETM+ data

Remote sensing has been a useful tool to monitor net primary productivity (NPP) and evapotranspiration (ET). In this paper, based on field measurements and Landsat enhanced thematic mapper plus (ETM+) data, NPP and ET are estimated in 2001 in the Changbaishan Natural Reserve, China. Maps of land cover, leaf area index, and biomass of this forested region are first derived from ETM+ data. With these maps and additional soil texture and daily meteorological data, NPP and ET maps are produced for 2001 using the boreal ecosystem productivity simulator (BEPS). The results show that the estimated and observed NPP values for forest agree fairly well, with a mean relative error of 8.6%. The NPP of mixed forests is the highest, with a mean of 500 g C m–2·a–1, and that of alpine tundra and shrub is the lowest, with a mean of 136 g C m–2·a–1. Unlike the spatial pattern of NPP, the annual ET changes distinctly with altitude from greater than 600 mm at the foot of the mountain to about 200 mm at the top of the mountain. ET is highest for broadleaf forests and lowest for urban and built-up areas.

[1]  Gordon B. Bonan,et al.  Land-atmosphere CO2 exchange simulated by a land surface process model coupled to an atmospheric general circulation model , 1995 .

[2]  M. Bauer,et al.  Spectral estimators of absorbed photosynthetically active radiation in corn canopies. , 1985 .

[3]  S. Goward,et al.  Global Primary Production: A Remote Sensing Approach , 1995 .

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

[5]  Gérard Dedieu,et al.  Methodology for the estimation of terrestrial net primary production from remotely sensed data , 1994 .

[6]  H. Odum,et al.  Primary Productivity of the Biosphere , 1978, Ecological Studies.

[7]  Jean Marie Hartman,et al.  Use of vegetation indices to estimate intercepted solar radiation and net carbon dioxide exchange of a grass canopy , 1989 .

[8]  Piao Shi,et al.  APPLICATION OF CASA MODEL TO THE ESTIMATION OF CHINESE TERRESTRIAL NET PRIMARY PRODUCTIVITY , 2001 .

[9]  C. Justice,et al.  A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part II: The Generation of Global Fields of Terrestrial Biophysical Parameters from Satellite Data , 1996 .

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

[11]  G. Asrar,et al.  Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 , 1984 .

[12]  S. Leblanc,et al.  A Shortwave Infrared Modification to the Simple Ratio for LAI Retrieval in Boreal Forests: An Image and Model Analysis , 2000 .

[13]  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 .

[14]  Estimation of net primary productivity in China using NOAA AVHRR data , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[15]  J. Randerson,et al.  Global net primary production: Combining ecology and remote sensing , 1995 .

[16]  Zhu Zhi.  A Model for Estimating Net Primary Productivity of Natural Vegetation , 1993 .

[17]  W. Rawls,et al.  Estimating generalized soil-water characteristics from texture , 1986 .

[18]  S. Rui,et al.  Estimation of net primary productivity in China using remote sensing data , 2001 .

[19]  D. Bartlett,et al.  Use of vegetation indices to estimate indices to estimate intercepted solar radiation and net carbon dioxide exchange of a grass canopy , 1989 .

[20]  Norman K. Denzin,et al.  Biographical Research Methods , 1999 .

[21]  H. Seino,et al.  Agroclimatic Evaluation of Net Primary Productivity of Natural Vegetations , 1985 .

[22]  R. Lacaze,et al.  Multi-angular optical remote sensing for assessing vegetation structure and carbon absorption , 2003 .

[23]  Josef Cihlar,et al.  Net primary productivity mapped for Canada at 1-km resolution , 2002 .

[24]  J. C. Winslow,et al.  A globally applicable model of daily solar irradiance estimated from air temperature and precipitation data , 2001 .

[25]  J. Randerson,et al.  Terrestrial ecosystem production: A process model based on global satellite and surface data , 1993 .

[26]  Guirui Yu,et al.  [Ecosystem productivity process model for landscape based on remote sensing and surface data]. , 2003, Ying yong sheng tai xue bao = The journal of applied ecology.

[27]  Sun Cheng.  MODELLING THE NET PRIMARY PRODUCTIVITY OF THE NATURAL POTENTIAL VEGETATION IN CHINA , 1998 .

[28]  M. Rosenzweig.  Net Primary Productivity of Terrestrial Communities: Prediction from Climatological Data , 1968, The American Naturalist.

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

[30]  S. Leblanc,et al.  Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements , 2002 .

[31]  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.

[32]  E. Box.  Estimating the seasonal carbon source-sink geography of a natural, steady-state terrestrial biosphere , 1988 .

[33]  Richard H. Waring,et al.  Combining Remote Sensing and Climatic Data to Estimate Net Primary Production Across Oregon , 1994 .

[34]  A. McGuire,et al.  Global climate change and terrestrial net primary production , 1993, Nature.

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

[36]  Li Hui-guo.  Estimating Net Primary Productivity of TerrestrialVegetation in China Using Remote Sensing , 2002 .

[37]  Donald L. DeAngelis,et al.  Using ecosystem models to predict regional CO2 exchange between the atmosphere and the terrestrial biosphere , 1989 .

[38]  Inez Y. Fung,et al.  Application of Advanced Very High Resolution Radiometer vegetation index to study atmosphere‐biosphere exchange of CO2 , 1987 .

[39]  Michael G. Ryan,et al.  A simple method for estimating gross carbon budgets for vegetation in forest ecosystems. , 1991, Tree physiology.

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