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Profiles of photosynthetically active radiation, nitrogen and photosynthetic capacity in the boreal forest: Implications for scaling from leaf to canopy
Author(s) -
Dang Qing Lai,
Margolis Hank A.,
Sy Mikailou,
Coyea Marie R.,
Collatz G. James,
Walthall Charles L.
Publication year - 1997
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/97jd00194
Subject(s) - photosynthetically active radiation , canopy , leaf area index , photosynthetic capacity , understory , black spruce , growing season , photosynthesis , botany , boreal , taiga , environmental science , specific leaf area , nitrogen , shoot , forestry , biology , atmospheric sciences , horticulture , ecology , geography , chemistry , physics , organic chemistry
Profiles of photosynthetically active radiation (PAR), leaf nitrogen per unit leaf area (N area ), and photosynthetic capacity ( A max ) were measured in an aspen, two jack pine, and two black spruce stands in the BOREAS northern study area. N area decreased with decreasing %PAR in each stand, in all conifer stands combined ( r =0.52) and in all stands combined ( r =0.46). Understory alder had higher N area for similar %PAR than did aspen early in the growing season. A max decreased with decreasing N area , except for the negative correlation between N area and A max during shoot flush for jack pine. For the middle and late growing season data, N area and A max had r values of 0.51 for all stands combined and 0.60 for all conifer stands combined. For similar N area the aspen stand had higher A max than did the conifer stands. Photosynthetic capacity expressed as a percentage of A max at the top of the canopy (% A max0 ) decreased with %PAR similarly in all stands, but % A max0 decreased at a much slower rate than did %PAR. To demonstrate the implications of the vertical distribution of A max , three different assumptions were used to scale leaf A max to the canopy ( A can‐max ): (1) constant A max with canopy depth, (2) A max scaled proportionally to %PAR, and (3) a linear relationship between A max and cumulative leaf area index derived from our data. The first and third methods resulted in similar A can‐max ; the second was much lower. All methods resulted in linear correlations between normalized difference vegetation indices measured from a helicopter and A can‐max ( r =0.97, 0.93, and 0.97, respectively), but the slope was strongly influenced by the scaling method.

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