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Title: Multiple drivers of seasonal change in PRI: Implications for photosynthesis 1. Leaf level

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Publication Date:
Sponsoring Org.:
OSTI Identifier:
Grant/Contract Number:
FG-02-00ER45827; FG03-00ER62996
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Remote Sensing of Environment
Additional Journal Information:
Journal Volume: 191; Journal Issue: C; Related Information: CHORUS Timestamp: 2017-10-04 15:38:50; Journal ID: ISSN 0034-4257
Country of Publication:
United States

Citation Formats

Gitelson, Anatoly A., Gamon, John A., and Solovchenko, Alexei. Multiple drivers of seasonal change in PRI: Implications for photosynthesis 1. Leaf level. United States: N. p., 2017. Web. doi:10.1016/j.rse.2016.12.014.
Gitelson, Anatoly A., Gamon, John A., & Solovchenko, Alexei. Multiple drivers of seasonal change in PRI: Implications for photosynthesis 1. Leaf level. United States. doi:10.1016/j.rse.2016.12.014.
Gitelson, Anatoly A., Gamon, John A., and Solovchenko, Alexei. Wed . "Multiple drivers of seasonal change in PRI: Implications for photosynthesis 1. Leaf level". United States. doi:10.1016/j.rse.2016.12.014.
title = {Multiple drivers of seasonal change in PRI: Implications for photosynthesis 1. Leaf level},
author = {Gitelson, Anatoly A. and Gamon, John A. and Solovchenko, Alexei},
abstractNote = {},
doi = {10.1016/j.rse.2016.12.014},
journal = {Remote Sensing of Environment},
number = C,
volume = 191,
place = {United States},
year = {Wed Mar 01 00:00:00 EST 2017},
month = {Wed Mar 01 00:00:00 EST 2017}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1016/j.rse.2016.12.014

Citation Metrics:
Cited by: 6works
Citation information provided by
Web of Science

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  • Cited by 4
  • Understanding the temporal patterns of leaf traits is critical in determining the seasonality and magnitude of terrestrial carbon, water, and energy fluxes. However, we lack robust and efficient ways to monitor the temporal dynamics of leaf traits. Here we assessed the potential of leaf spectroscopy to predict and monitor leaf traits across their entire life cycle at different forest sites and light environments (sunlit vs. shaded) using a weekly sampled dataset across the entire growing season at two temperate deciduous forests. In addition, the dataset includes field measured leaf-level directional-hemispherical reflectance/transmittance together with seven important leaf traits [total chlorophyll (chlorophyllmore » a and b), carotenoids, mass-based nitrogen concentration (N mass), mass-based carbon concentration (C mass), and leaf mass per area (LMA)]. All leaf traits varied significantly throughout the growing season, and displayed trait-specific temporal patterns. We used a Partial Least Square Regression (PLSR) modeling approach to estimate leaf traits from spectra, and found that PLSR was able to capture the variability across time, sites, and light environments of all leaf traits investigated (R 2 = 0.6–0.8 for temporal variability; R 2 = 0.3–0.7 for cross-site variability; R 2 = 0.4–0.8 for variability from light environments). We also tested alternative field sampling designs and found that for most leaf traits, biweekly leaf sampling throughout the growing season enabled accurate characterization of the seasonal patterns. Compared with the estimation of foliar pigments, the performance of N mass, C mass and LMA PLSR models improved more significantly with sampling frequency. Our results demonstrate that leaf spectra-trait relationships vary with time, and thus tracking the seasonality of leaf traits requires statistical models calibrated with data sampled throughout the growing season. In conclusion, our results have broad implications for future research that use vegetation spectra to infer leaf traits at different growing stages.« less
  • Cited by 4
  • Species composition of temperate forests vary with successional age and seems likely to change in response to significant global climate change. Because photosynthesis rates in co-occurring tree species can differ in their sensitivity to environmental conditions, these changes in species composition are likely to alter the carbon dynamics of temperate forests. To help improve their understanding of such atmosphere-biosphere interactions, the authors explored changes in leaf-level photosynthesis in a 60--70 yr old temperate mixed-deciduous forest in Petersham, Massachusetts (USA). Diurnally and seasonally varying environmental conditions differentially influenced in situ leaf-level photosynthesis rates in the canopies of four mature temperate deciduousmore » tree species: red oak (Quercus rubra), red maple (Acer rubrum), white birch (Betula papyrifera), and yellow birch (Betula alleghaniensis). The authors measured in situ photosynthesis at two heights within the canopies through a diurnal time course on 7 d over two growing seasons. They simultaneously measured a suite of environmental conditions surrounding the leaf at the time of each measurement. The authors used path analysis to examine the influence of environmental factors on in situ photosynthesis in the tree canopies.« less
  • Researchers agree that climate change factors such as rising atmospheric [CO{sub 2}] and warming will likely interact to modify ecosystem properties and processes. However, the response of the microbial communities that regulate ecosystem processes is less predictable. We measured the direct and interactive effects of climatic change on soil fungal and bacterial communities (abundance and composition) in a multifactor climate change experiment that exposed a constructed old-field ecosystem to different atmospheric CO{sub 2} concentration (ambient, +300 ppm), temperature (ambient, +3 C), and precipitation (wet and dry) might interact to alter soil bacterial and fungal abundance and community structure in anmore » old-field ecosystem. We found that (i) fungal abundance increased in warmed treatments; (ii) bacterial abundance increased in warmed plots with elevated atmospheric [CO{sub 2}] but decreased in warmed plots under ambient atmospheric [CO{sub 2}]; (iii) the phylogenetic distribution of bacterial and fungal clones and their relative abundance varied among treatments, as indicated by changes in 16S rRNA and 28S rRNA genes; (iv) changes in precipitation altered the relative abundance of Proteobacteria and Acidobacteria, where Acidobacteria decreased with a concomitant increase in the Proteobacteria in wet relative to dry treatments; and (v) changes in precipitation altered fungal community composition, primarily through lineage specific changes within a recently discovered group known as soil clone group I. Taken together, our results indicate that climate change drivers and their interactions may cause changes in bacterial and fungal overall abundance; however, changes in precipitation tended to have a much greater effect on the community composition. These results illustrate the potential for complex community changes in terrestrial ecosystems under climate change scenarios that alter multiple factors simultaneously.« less