Evidence map›Paper›PMID 27193900›Full record

ArticleOecologia2016

Spectral determination of concentrations of functionally diverse pigments in increasingly complex arctic tundra canopies.

Natalie T Boelman, Troy S Magney, Barry A Logan, Kevin L Griffin, Jan U H Eitel, Heather Greaves, Case M Prager, Lee A Vierling

Abstract read
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Article in Oecologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Natalie T BoelmanLamont-Doherty Earth Observatory, Columbia University, New York, NY, 10964, USA. nboelman@ldeo.columbia.edu.
Troy S MagneyGeospatial Laboratory for Environmental Dynamics, University of Idaho, Moscow, ID, 83844-1133, USA.
Barry A LoganDepartment of Biology, Bowdoin College, Brunswick, ME, 04011, USA.
Kevin L GriffinLamont-Doherty Earth Observatory, Columbia University, New York, NY, 10964, USA.
Jan U H EitelGeospatial Laboratory for Environmental Dynamics, University of Idaho, Moscow, ID, 83844-1133, USA.
Heather GreavesGeospatial Laboratory for Environmental Dynamics, University of Idaho, Moscow, ID, 83844-1133, USA.
Case M PragerDepartment of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY, 10027, USA.
Lee A VierlingGeospatial Laboratory for Environmental Dynamics, University of Idaho, Moscow, ID, 83844-1133, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the Arctic warms, tundra vegetation is becoming taller and more structurally complex, as tall deciduous shrubs become increasingly dominant. Emerging studies reveal that shrubs exhibit photosynthetic resource partitioning, akin to forests, that may need accounting for in the "big leaf" net ecosystem exchange models. We conducted a lab experiment on sun and shade leaves from S. pulchra shrubs to determine the influence of both constitutive (slowly changing bulk carotenoid and chlorophyll pools) and facultative (rapidly changing xanthophyll cycle) pigment pools on a suite of spectral vegetation indices, to devise a rapid means of estimating within canopy resource partitioning. We found that: (1) the PRI of dark-adapted shade leaves (PRIo) was double that of sun leaves, and that PRIo was sensitive to variation among sun and shade leaves in both xanthophyll cycle pool size (V + A + Z) (r (2) = 0.59) and Chla/b (r (2) = 0.64); (2) A corrected PRI (difference between dark and illuminated leaves, ΔPRI) was more sensitive to variation among sun and shade leaves in changes to the epoxidation state of their xanthophyll cycle pigments (dEPS) (r (2) = 0.78, RMSE = 0.007) compared to the uncorrected PRI of illuminated leaves (PRI) (r (2) = 0.34, RMSE = 0.02); and (3) the SR680 index was correlated with each of (V + A + Z), lutein, bulk carotenoids, (V + A + Z)/(Chla + b), and Chla/b (r (2) range = 0.52-0.69). We suggest that ΔPRI be employed as a proxy for facultative pigment dynamics, and the SR680 for the estimation of constitutive pigment pools. We contribute the first Arctic-specific information on disentangling PRI-pigment relationships, and offer insight into how spectral indices can assess resource partitioning within shrub tundra canopies.

Indexed as

TundraArctic RegionsChlorophyllPhotosynthesisPigmentationPlant LeavesChlorophyllPRIRemote sensingResource partitioningShrubsXanthophyll cycleΔPRI

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.