2002
DOI: 10.1080/10473289.2002.10470793
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Modeling and Spatially Distributing Forest Net Primary Production at the Regional Scale

Abstract: Forest, agricultural, rangeland, wetland, and urban landscapes have different rates of carbon sequestration and total carbon sequestration potential under alternative management options. Changes in the proportion and spatial distribution of land use could enhance or degrade that area's ability to sequester carbon in terrestrial ecosystems. As

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Cited by 11 publications
(5 citation statements)
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“…We used general elevation and latitude lapse rates to generate a temperature index for each site, following Warren and references therein [31]. The relative productivity (annual above ground productivity) of each site was estimated from published values in the literature [32], [33], [34], [35], [36].…”
Section: Methodsmentioning
confidence: 99%
“…We used general elevation and latitude lapse rates to generate a temperature index for each site, following Warren and references therein [31]. The relative productivity (annual above ground productivity) of each site was estimated from published values in the literature [32], [33], [34], [35], [36].…”
Section: Methodsmentioning
confidence: 99%
“…Coops and Waring, 2001; Kimball et al, 2000;Mickler et al, 2002), and 3) the three tree species are initialized according to the average dimension indicated by inventory data and are assumed to grow together in a mixed stand (MS). See also Table 1.…”
Section: Model Settings and Simulation Setupmentioning
confidence: 99%
“…Accordingly, over the past three decades there has been a progressive evolution of remote sensing approaches for the collection of forest resource information. Satellite remote sensing has been the principal focus of attention (Sader et al, 1990), which is used to enhance and increase confidence in field-based inventory and monitoring methodologies (Frankin, 2001;Mickler et al, 2002). It is unlikely that it will replace aerial photograph interpretation at cartographic scales larger than 1:25,000 but, where information on forest resources is required over larger areas, the use of satellite data is cheaper and more consistent (Lunetta, 1999;Roller, 2000).…”
mentioning
confidence: 99%