Direct estimation of aboveground forest productivity through hyperspectral remote sensing of canopy nitrogen

被引:7
作者
Smith, ML [1 ]
Ollinger, SV
Martin, ME
Aber, JD
Hallett, RA
Goodale, CL
机构
[1] US Forest Serv, USDA, NE Res Stn, Durham, NH 03824 USA
[2] Univ New Hampshire, Complex Syst Res Ctr, Durham, NH 03824 USA
关键词
foliar chemistry; forest C and N linkages; forest canopy-level N concentration; forest productivity; nitrogen; remote sensing; hyperspectral; AVIRIS; White Mountain National Forest; New Hampshire; USA;
D O I
暂无
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The concentration of nitrogen in foliage has been related to rates of net photosynthesis across a wide range of plant species and functional groups and thus represents a simple and biologically meaningful link between terrestrial cycles of carbon and nitrogen. Although foliar N is used by ecosystem models to predict rates of leaf-level photosynthesis, it has rarely been examined as a direct scalar to stand-level carbon gain. Establishment of such relationships would greatly simplify the nature of forest C and N linkages, enhancing our ability to derive estimates of forest productivity at landscape to regional scales. Here, we report on a highly predictive relationship between whole-canopy nitrogen concentration and aboveground forest productivity in diverse forested stands of varying age and species composition across the 360 000-ha White Mountain National Forest, New Hampshire, USA. We also demonstrate that hyperspectral remote sensing can be used to estimate foliar N concentration, and hence forest production across a large number of contiguous images. Together these data suggest that canopy-level N concentration is an important correlate of productivity in these forested systems, and that imaging spectrometry of canopy N can provide direct estimates of forest productivity across large landscapes.
引用
收藏
页码:1286 / 1302
页数:17
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