Methodology for the estimation of terrestrial net primary production from remotely sensed data

Ruimy, Anne; Saugier, B.; Dedieu, Gérard

doi:10.1029/93jd03221

Cited by 695 publications

(454 citation statements)

References 46 publications

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“…First, accurate estimates of ε are difficult and expensive to acquire. And, contrary to the results of initial studies with crop species (Monteith, 1977), ε has been found to vary considerably across a broader array of species, functional groups, and ecosystems (Ruimy et al, 1994;Gower et al, 1999;Sinclair and Muchow, 1999;Campbell et al, 2001;.…”

Section: Introductioncontrasting

confidence: 52%

“…Accordingly, plant biomass production by terrestrial vegetation has been observed to be strongly and positively related to the canopy absorption of photosynthetically active radiation (APAR; Monteith, 1972). The proportional relationship between net primary productivity (NPP) and APAR, known as the light-use efficiency (LUE) or epsilon (ε) model, is commonly used to explain and/or predict NPP variation in agricultural and forest ecosystems (Monteith, 1977;Jarvis and Leverenz, 1983;Ruimy et al, 1994;Runyon et al, 1994;Field et al, 1995;Gower et al, 1999;Sinclair and Muchow, 1999). It is also viewed as a potentially effective approach for modeling the responses of NPP to global change (Field et al, 1995;Haxeltine and Prentice, 1996;Hui et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

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Foliar morphology and canopy nitrogen as predictors of light-use efficiency in terrestrial vegetation

Green

Erickson

Kruger

2003

Agricultural and Forest Meteorology

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The net primary productivity (NPP) of a plant community is often positively and linearly related to the amount of photosynthetically active radiation absorbed by its canopy (APAR). The slope of this relationship is governed by the efficiency (ε) of APAR use in biomass production (NPP = APAR ×ε). This intuitive model offers a promising means of generating large-scale NPP estimates, but its utility is compromised by our inability to explain considerable differences in ε across species, functional groups, and environments. Using data from the literature, we examined the possibility that variation in ε was governed largely by two chemical and morphological characteristics of the vegetation, canopy nitrogen content (N canopy ) and the canopy average for leaf mass per unit area (M area ). Specifically, we hypothesized that ε was positively related to the quotient of N canopy (adjusted for the fraction of incident PAR absorbed by the canopy, f PAR ) and M area . This ε index accounts for the dependence of light utilization on the quantity of photosynthetic "machinery" (N canopy ) and its inherent efficiency, which is inversely related to M area . Across a wide array of C 3 species, functional groups and environments, ε (based on aboveground NPP) was strongly and positively related to [N canopy /f PAR ]/M area (r 2 = 0.85, P < 0.0001). Adoption of the index as a basis for estimating ε could improve APAR-based predictions of terrestrial NPP, agricultural crop yield and vegetation responses to global change.

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Section: Introductioncontrasting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Foliar morphology and canopy nitrogen as predictors of light-use efficiency in terrestrial vegetation

Green

Erickson

Kruger

2003

Agricultural and Forest Meteorology

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“…In previous studies, it has been shown that the light use efficiency is dependent on a number of variables such as temperature, soil type, soil moisture, nutrient availability, plant type, growth state, plant age, and plant health (Prince 1991;Potter et al 1993;Ruimy et al 1994;Brogaard et al 2005;Alton et al 2007). Further, the light use efficiency parameter varies with time of the year and location but shows little interannual variation (Turner et al 2002;Schwalm et al 2006;Connolly et al 2009).…”

Section: Uncertainties and Future Researchmentioning

confidence: 99%

Increased photosynthesis compensates for shorter growing season in subarctic tundra—8 years of snow accumulation manipulations

et al. 2014

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This study was initiated to analyze the effect of increased snow cover on plant photosynthesis in subarctic mires underlain by permafrost. Snow fences were used to increase the accumulation of snow on a subarctic permafrost mire in northern Sweden. By measuring reflected photosynthetic active radiation (PAR) the effect of snow thickness and associated delay of the start of the growing season was assessed in terms of absorbed PAR and estimated gross primary production (GPP). Six plots experienced increased snow accumulation and six plots were untreated. Incoming and reflected PAR was logged hourly from August 2010 to October 2013. In 2010 PAR measurements were coupled with flux chamber measurements to assess GPP and light use efficiency of the plots. The increased snow thickness prolonged the duration of the snow cover in spring. The delay of the growing season start in the treated plots was 18 days in 2011, 3 days in 2012 and 22 days in 2013. Results show higher PAR absorption, together with almost 35 % higher light use efficiency, in treated plots compared to untreated plots. Estimations of GPP suggest that the loss in early season photosynthesis, due to the shortening of the growing season in the treatment plots, is well compensated for by the increased absorption of PAR and higher light use efficiency throughout the whole growing seasons. This compensation is likely to be explained by increased soil moisture and nutrients together with a shift in vegetation composition associated with the accelerated permafrost thaw in the treatment plots.

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“…A number of NPP models based on the light-use efficiency concept have been published (e.g. Ruimy et al, 1994;Lagergren et al, 2005). However, since the computation of the LUE-factor usually requires meteorological data, an operational LUE-based model may easily be limited by the spatial resolution and accuracy of the meteorological input data sets (Sims et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Towards operational remote sensing of forest carbon balance across Northern Europe

et al. 2008

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Abstract.Monthly averages of ecosystem respiration (ER), gross primary production (GPP) and net ecosystem exchange (NEE) over Scandinavian forest sites were estimated using regression models driven by air temperature (AT), absorbed photosynthetically active radiation (APAR) and vegetation indices. The models were constructed and evaluated using satellite data from Terra/MODIS and measured data collected at seven flux tower sites in northern Europe. Data used for model construction was excluded from the evaluation. Relationships between ground measured variables and the independent variables were investigated.It was found that the enhanced vegetation index (EVI) at 250 m resolution was highly noisy for the coniferous sites, and hence, 1 km EVI was used for the analysis. Linear relationships between EVI and the biophysical variables were found: correlation coefficients between EVI and GPP, NEE, and AT ranged from 0.90 to 0.79 for the deciduous data, and from 0.85 to 0.67 for the coniferous data. Due to saturation, there were no linear relationships between normalized difference vegetation index (NDVI) and the ground measured parameters found at any site. APAR correlated better with the parameters in question than the vegetation indices. Modeled GPP and ER were in good agreement with measured values, with more than 90% of the variation in measured GPP and ER being explained by the coniferous models. The site-specific respiration rate at 10 • C (R 10 ) was needed Correspondence to: P. Olofsson (olofsson@bu.edu) for describing the ER variation between sites. Even though monthly NEE was modeled with less accuracy than GPP, 61% and 75% (dec. and con., respectively) of the variation in the measured time series was explained by the model. These results are important for moving towards operational remote sensing of forest carbon balance across Northern Europe.

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Methodology for the estimation of terrestrial net primary production from remotely sensed data

Cited by 695 publications

References 46 publications

Foliar morphology and canopy nitrogen as predictors of light-use efficiency in terrestrial vegetation

Foliar morphology and canopy nitrogen as predictors of light-use efficiency in terrestrial vegetation

Increased photosynthesis compensates for shorter growing season in subarctic tundra—8 years of snow accumulation manipulations

Towards operational remote sensing of forest carbon balance across Northern Europe

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