Modified light use efficiency model for assessment of carbon sequestration in grasslands of Kazakhstan: combining ground biomass data and remote-sensing

被引：36
作者：
Propastin, Pavel A. [1 ]
Kappas, Martin W. [1 ]
Herrmann, Stefanie M. [2 ,3 ]
Tucker, Compton J. [3 ]
机构：
[1] Univ Gottingen, Dept Cartog, GIS & Remote Sensing, D-37077 Gottingen, Germany
[2] Sci Syst & Applicat Inc, Space & Earth Sci Res & Anal, Lanham, MD 20706 USA
[3] NASA Goddard Space Flight Ctr, Lab Biospher & Hydrospher Proc, Biosphere Sci Branch, Greenbelt, MD 20171 USA
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 2012年 / 33卷 / 05期
关键词：
NET PRIMARY PRODUCTION; LEAF-AREA INDEX; PRIMARY PRODUCTIVITY; SATELLITE; ECOSYSTEMS; RADIATION; CLIMATE; PAR; SURFACE; SOILS;
D O I：
10.1080/01431161.2011.577105
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
A modified light use efficiency (LUE) model was tested in the grasslands of central Kazakhstan in terms of its ability to characterize spatial patterns and interannual dynamics of net primary production (NPP) at a regional scale. In this model, the LUE of the grassland biome (epsilon(n)) was simulated from ground-based NPP measurements, absorbed photosynthetically active radiation (APAR) and meteorological observations using a new empirical approach. Using coarse-resolution satellite data from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS), monthly NPP was calculated from 1998 to 2008 over a large grassland region in Kazakhstan. The modelling results were verified against scaled up plot-level observations of grassland biomass and another available NPP data set derived from a field study in a similar grassland biome. The results indicated the reliability of productivity estimates produced by the model for regional monitoring of grassland NPP. The method for simulation of epsilon(n) suggested in this study can be used in grassland regions where no carbon flux measurements are accessible.
引用
收藏
页码：1465 / 1487
页数：23
相关论文
共 81 条
  • [61] RYCHNOVSKA M., 1980, P 13 INT GRASSL C, P473
  • [62] Scurlock J. M. O., 2002, Environmental Reviews, V10, P91, DOI 10.1139/a02-002
  • [63] Seaquist J. W., 1999, INT J APPL EARTH OBS, V1, P205, DOI [DOI 10.1016/S0303-2434(99)85014-4, 10.1016/S0303-2434(99)85014-4]
  • [64] A remote sensing-based primary production model for grassland biomes
    Seaquist, JW
    Olsson, L
    Ardö, J
    [J]. ECOLOGICAL MODELLING, 2003, 169 (01) : 131 - 155
  • [65] SHATOKHINA N.G., 1988, BIOL PRODUCTIVITY HE, P32
  • [66] REVIEW AND ASSESSMENT OF VARIOUS TECHNIQUES FOR ESTIMATING NET AERIAL PRIMARY PRODUCTION IN GRASSLANDS FROM HARVEST DATA
    SINGH, JS
    LAUENROTH, WK
    STEINHORST, RK
    [J]. BOTANICAL REVIEW, 1975, 41 (02) : 181 - 232
  • [67] Variation in measured values of photosynthetic quantum yield in ecophysiological studies
    Singsaas, EL
    Ort, DR
    DeLucia, EH
    [J]. OECOLOGIA, 2001, 128 (01) : 15 - 23
  • [68] TESAROVA M, 1976, PEDOBIOLOGIA, V16, P364
  • [69] Titlyanova A.A., 1988, Biological Productivity of Grass Ecosystems. Geographic Patterns and Ecological Features, P109
  • [70] TUCKER C.J., 1997, SEAWIFS GLO IN PRESS
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