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      Enhancing global change experiments through integration of remote‐sensing techniques

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          Most cited references47

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          Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations

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            Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges.

            Chlorophyll a fluorescence (ChlF) has been used for decades to study the organization, functioning, and physiology of photosynthesis at the leaf and subcellular levels. ChlF is now measurable from remote sensing platforms. This provides a new optical means to track photosynthesis and gross primary productivity of terrestrial ecosystems. Importantly, the spatiotemporal and methodological context of the new applications is dramatically different compared with most of the available ChlF literature, which raises a number of important considerations. Although we have a good mechanistic understanding of the processes that control the ChlF signal over the short term, the seasonal link between ChlF and photosynthesis remains obscure. Additionally, while the current understanding of in vivo ChlF is based on pulse amplitude-modulated (PAM) measurements, remote sensing applications are based on the measurement of the passive solar-induced chlorophyll fluorescence (SIF), which entails important differences and new challenges that remain to be solved. In this review we introduce and revisit the physical, physiological, and methodological factors that control the leaf-level ChlF signal in the context of the new remote sensing applications. Specifically, we present the basis of photosynthetic acclimation and its optical signals, we introduce the physical and physiological basis of ChlF from the molecular to the leaf level and beyond, and we introduce and compare PAM and SIF methodology. Finally, we evaluate and identify the challenges that still remain to be answered in order to consolidate our mechanistic understanding of the remotely sensed SIF signal.
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              MEASURING NET PRIMARY PRODUCTION IN FORESTS: CONCEPTS AND FIELD METHODS

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                Author and article information

                Journal
                Frontiers in Ecology and the Environment
                Front Ecol Environ
                Wiley
                1540-9295
                1540-9309
                April 29 2019
                May 2019
                April 2019
                May 2019
                : 17
                : 4
                : 215-224
                Affiliations
                [1 ]Joint Global Change Research InstitutePacific Northwest National Laboratory College Park MD
                [2 ]Department of Environmental ConservationUniversity of Massachusetts–Amherst Amherst MA
                [3 ]Department of Geography, Environment, and Spatial SciencesMichigan State University East Lansing MI
                [4 ]School of Natural Resources and the EnvironmentUniversity of Arizona Tucson AZ
                [5 ]Department of BiologyVirginia Commonwealth University Richmond VA
                [6 ]Climate Change Science Institute, Computer Science & Mathematics Division, and Environmental Sciences DivisionOak Ridge National Laboratory Oak Ridge TN
                [7 ]NASA Goddard Space Flight Center Greenbelt MD
                [8 ]Environmental and Climate Sciences DepartmentBrookhaven National Laboratory Upton NY
                [9 ]School of GeosciencesUniversity of Edinburgh Edinburgh UK
                Article
                10.1002/fee.2031
                38507e3f-0f37-4fa9-8011-a651852a348b
                © 2019

                http://creativecommons.org/licenses/by/4.0/

                http://creativecommons.org/licenses/by/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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