The Role of Remote Sensing in the Study of Terrestrial Net Primary Production

Ollinger, Scott V.; Treuhaft, R. N.; Braswell, Rob; Anderson, Jeanne E.; Martin, Matthew; Smith, Mike

doi:10.1093/acprof:oso/9780195168662.003.0011

Cited by 8 publications

(4 citation statements)

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“…Field measurements of aboveground net primary production (ANPP) are generally performed across small fractions of the Earth’s surface at the local scale. Due to this limited measurement scale, environmental studies conducted at regional and global scales must somehow extend field measurements to the appropriate spatial domain [ 10 ]. Because of the difficulties that are encountered when working at the regional scale, few researchers have described such research in a single document [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Multiscale Trend Analysis for Pampa Grasslands Using Ground Data and Vegetation Sensor Imagery

Scottá

Fonseca

2015

Sensors

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This study aimed to evaluate changes in the aboveground net primary productivity (ANPP) of grasslands in the Pampa biome by using experimental plots and changes in the spectral responses of similar vegetation communities obtained by remote sensing and to compare both datasets with meteorological variations to validate the transition scales of the datasets. Two different geographic scales were considered in this study. At the local scale, an analysis of the climate and its direct influences on grassland ANPP was performed using data from a long-term experiment. At the regional scale, the influences of climate on the grassland reflectance patterns were determined using vegetation sensor imagery data. Overall, the monthly variations of vegetation canopy growth analysed using environmental changes (air temperature, total rainfall and total evapotranspiration) were similar. The results from the ANPP data and the NDVI data showed the that variations in grassland growth were similar and independent of the analysis scale, which indicated that local data and the relationships of local data with climate can be considered at the regional scale in the Pampa biome by using remote sensing.

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Section: Introductionmentioning

confidence: 99%

Multiscale Trend Analysis for Pampa Grasslands Using Ground Data and Vegetation Sensor Imagery

Scottá

Fonseca

2015

Sensors

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“…, Ollinger et al. ). Attempts at incorporating these data into ecosystem models to estimate productivity over longer timescales have achieved varying results (Friedlingstein et al.…”

Section: Introductionmentioning

confidence: 98%

Comparing tree‐ring and permanent plot estimates of aboveground net primary production in three eastern U.S. forests

et al. 2016

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Abstract.Forests account for a large portion of sequestered carbon, much of which is stored as wood in trees. The rate of carbon accumulation in aboveground plant material, or aboveground net primary productivity (aNPP), quantifies annual to decadal variations in forest carbon sequestration. Permanent plots are often used to estimate aNPP but are usually not annually resolved and take many years to develop a long data set. Tree rings are a unique and infrequently used source for measuring aNPP, and benefit from fine spatial (individual trees) and temporal (annual) resolution. Because of this precision, tree rings are complementary to permanent plots and the suite of tools used to study forest productivity. Here we evaluate whether annual estimates of aNPP developed from tree rings approximate estimates derived from colocated permanent plots. We studied a lowland evergreen (Howland, Maine), mixed deciduous (Harvard Forest, Massachusetts), and mixed mesophytic (Fernow, West Virginia) forest in the eastern United States. Permanent plots at the sites cover an area of 2-3 ha, and we use these areas as benchmarks indicative of the forest stand. We simulate random draws of permanent plot subsets to describe the distribution of aNPP estimates given a sampling area size equivalent to the tree-ring plots. Though mean tree-ring aNPP underestimates permanent plot aNPP slightly at Howland and Fernow and overestimates at Harvard Forest when compared with the entire permanent plot, it is within the 95% confidence interval of the random draws of equal-sized sampling area at all sites. To investigate whether tree-ring aNPP can be upscaled to the stand, we conducted a second random draw of permanent plot subsets simulating a twofold increase in sampling area. aNPP estimates from this distribution were not significantly different from results of the initial sampling area, though variance decreased as sampling area approaches stand area. Despite several concerns to consider when using tree rings to reconstruct aNPP (e.g., upscaling, allometric, and sampling uncertainties), the benefits are apparent, and we call for the continued application of tree rings in carbon cycle studies across a broader range of species diversity, productivity, and disturbance histories to fully develop this potential.

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“…Plataformas de sensoriamento remoto apresentam a possibilidade de amostragem de extensas e contínuas porções da superfície (Ollinger et al, 2007). No caso do bioma Pampa, Fonseca et al (2007) descrevem a viabilidade da discretização de unidades homogêneas presentes nos campos sulinos utilizando produtos de imagens de satélite, uma vez que estas unidades apresentam diferentes padrões da resposta espectral em função do predomínio de gramíneas com porte cespitoso ou com porte rasteiro presentes em cada uma das unidades.…”

Section: Introductionunclassified

Identificação e mapeamento de unidades homogêneas do bioma Pampa utilizando imagens Sentinel-2 no Complexo Eólico Cerro Chato, Santana do Livramento, RS

Gomes

Schwartzman

Fonseca

et al. 2020

BJD

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The Role of Remote Sensing in the Study of Terrestrial Net Primary Production

Cited by 8 publications

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Multiscale Trend Analysis for Pampa Grasslands Using Ground Data and Vegetation Sensor Imagery

Multiscale Trend Analysis for Pampa Grasslands Using Ground Data and Vegetation Sensor Imagery

Comparing tree‐ring and permanent plot estimates of aboveground net primary production in three eastern U.S. forests

Identificação e mapeamento de unidades homogêneas do bioma Pampa utilizando imagens Sentinel-2 no Complexo Eólico Cerro Chato, Santana do Livramento, RS

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