MOWING AND FERTILIZATION EFFECTS ON PRODUCTIVITY AND SPECTRAL REFLECTANCE IN BROMUS-INERMIS PLOTS

被引:39
作者
DYER, MI
TURNER, CL
SEASTEDT, TR
机构
[1] UNIV GEORGIA, INST ECOL, ATHENS, GA 30602 USA
[2] KANSAS STATE UNIV AGR & APPL SCI, DIV BIOL, MANHATTAN, KS 66506 USA
关键词
BROMUS-INERMIS; MULTISPECTRAL SCANNER (MSS); NDVI AND GREENNESS INDEXES; N-FERTILIZATION; REMOTE SENSING; SIMULATED GRAZING STRESSES;
D O I
10.2307/1941901
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Experiments were conducted to examine the potential role of grazing on ecosystem-level parameters as part of the NASA-sponsored First ISLSCP (International Satellite Land Surface Climatology Programme) Field Experiment (FIFE) conducted at Konza Prairie Research Natural Area in 1987. Here we report results of one experiment conducted in a field consisting primarily of Bromus inermis, a cool season C3 grass. The experiment involved four simulated grazing components (unmowed control, 20-, 10-, and 5-cm mowing heights) and fertilization (untreated control and ammonium nitrate application). The plots were mowed to ground level and raked in April, following which they were mowed seven times during the growing season from May to October. Biomass production, N production, and spectral reflectance data were collected with a hand-held radiometer throughout the growing season, with standing crop estimates taken at two periods (7 August [day 219] and 27 October [day 300]) to correlate with the remote sensing information base. Standing crop values of mowed plots were as much as 67-70% lower than controls, but they produced significantly larger amounts of both biomass and total N. Maximum season-long production values in the mowed plots were almost-equal-to 43% above controls, with major differences developing as a result of fertilization. Fertilized plots produced 67% more foliage than unfertilized plots. Our data show over-compensatory growth as a result of the simulated grazing treatments. Indexes (NDVI [normalized difference vegetation index] and greenness) derived from the reflectance data were poorly correlated with biomass. The correlation of NDVI with N content of the canopy foliage was somewhat stronger, particularly if stratified by mowing class. NDVI was a better predictor of vegetation status than the greenness indexes, but in plots simulating heavily grazed areas where leafy vegetation was sparse and soil became more visible from above the canopy its utility decreased significantly.
引用
收藏
页码:443 / 452
页数:10
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