Optical instruments for measuring leaf area index in low vegetation: Application in Arctic ecosystems

被引:75
作者
van Wijk, MT
Williams, M
机构
[1] Univ Edinburgh, Sch Geosci, Edinburgh EH9 3JU, Midlothian, Scotland
[2] Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA
关键词
arctic tundra; LAI; leaf area index; low-stature vegetation; normalized difference vegetation index; optical instruments; Sweden; uncertainty analysis;
D O I
10.1890/03-5354
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Leaf area index (LAI) is a powerful diagnostic of plant productivity. Despite the fact that many methods have been developed to quantify LAI, both directly and indirectly, leaf area index remains difficult to quantify accurately, owing to large spatial and temporal variability. The gap-fraction technique is widely used to estimate the LAI indirectly. However, for low-stature vegetation, the gap-fraction sensor either cannot get totally underneath the plant canopy, thereby missing part of the leaf area present, or is too close to the individual leaves of the canopy, which leads to a large distortion of the LAI estimate. We set out to develop a methodology for easy and accurate nondestructive assessment of the variability of LAI in low-stature vegetation. We developed and tested the methodology in an arctic landscape close to Abisko, Sweden. The LAI of arctic vegetation could be estimated accurately and rapidly by combining field measurements of canopy reflectance (NDVI) and light penetration through,the canopy (gap-fraction analysis using a LI-COR LAI-2000). By combining the two methodologies, the limitations of each could be circumvented, and a significantly increased accuracy of the LAI estimates was obtained. The combination of an NDVI sensor for sparser vegetation and a LAI-2000 for denser vegetation could explain 81% of the variance of LAI measured by destructive harvest. We used the method to quantify the spatial variability and the associated uncertainty of leaf area index in a small catchment area.
引用
收藏
页码:1462 / 1470
页数:9
相关论文
共 27 条
[11]   ESTIMATION OF LEAF-AREA INDEX FOR COTTON CANOPIES USING THE LI-COR LAI-2000 PLANT CANOPY ANALYZER [J].
HICKS, SK ;
LASCANO, RJ .
AGRONOMY JOURNAL, 1995, 87 (03) :458-464
[12]  
Jonasson S, 1999, ECOLOGY, V80, P1828, DOI 10.1890/0012-9658(1999)080[1828:RIMAPT]2.0.CO
[13]  
2
[14]   Review of methods for in situ leaf area index determination - Part I. Theories, sensors and hemispherical photography [J].
Jonckheere, I ;
Fleck, S ;
Nackaerts, K ;
Muys, B ;
Coppin, P ;
Weiss, M ;
Baret, F .
AGRICULTURAL AND FOREST METEOROLOGY, 2004, 121 (1-2) :19-35
[15]   Interannual and spatial variation in maximum leaf area index of temperate deciduous stands [J].
Le Dantec, V ;
Dufrêne, E ;
Saugier, B .
FOREST ECOLOGY AND MANAGEMENT, 2000, 134 (1-3) :71-81
[16]   Increased plant growth in the northern high latitudes from 1981 to 1991 [J].
Myneni, RB ;
Keeling, CD ;
Tucker, CJ ;
Asrar, G ;
Nemani, RR .
NATURE, 1997, 386 (6626) :698-702
[17]   Effects of extended growing season and soil warming on carbon dioxide and methane exchange of tussock tundra in Alaska [J].
Oberbauer, SF ;
Starr, G ;
Pop, EW .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1998, 103 (D22) :29075-29082
[18]   Estimation of leaf area index using ground-based remote sensed NDVI measurements: validation and comparison with two indirect techniques [J].
Pontailler, JY ;
Hymus, GJ ;
Drake, BG .
CANADIAN JOURNAL OF REMOTE SENSING, 2003, 29 (03) :381-387
[19]  
Rouse J. W., 1974, P 3 EARTH RES TECHN, P301
[20]   RED AND PHOTOGRAPHIC INFRARED LINEAR COMBINATIONS FOR MONITORING VEGETATION [J].
TUCKER, CJ .
REMOTE SENSING OF ENVIRONMENT, 1979, 8 (02) :127-150