2020
DOI: 10.1002/rse2.145
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Spectrally derived values of community leaf dry matter content link shifts in grassland composition with change in biomass production

Abstract: Leaf traits link environmental effects on plant species abundances to changes in ecosystem processes but are a challenge to measure regularly and over large areas. We used measurements of canopy reflectance from grassland communities to derive a regression model for one leaf trait, leaf dry matter content (LDMC). Partial least squares regression (PLSR) analysis was used to model community‐weighted (species abundance‐weighted) values of LDMC as a function of canopy reflectance in visible and near‐infrared (NIR)… Show more

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Cited by 18 publications
(25 citation statements)
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“…For each year, we summed calculated ANPP values of the two patches per community and two communities per metacommunity to derive ANPP for the community and metacommunity, respectively. Community LDMC per patch was estimated using a regression model developed from LDMC measurements on 52 single species stands (Polley et al 2020).…”
Section: Field Measurementsmentioning
confidence: 99%
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“…For each year, we summed calculated ANPP values of the two patches per community and two communities per metacommunity to derive ANPP for the community and metacommunity, respectively. Community LDMC per patch was estimated using a regression model developed from LDMC measurements on 52 single species stands (Polley et al 2020).…”
Section: Field Measurementsmentioning
confidence: 99%
“…The LDMC per patch was estimated from a PLSR model developed previously (Polley et al 2020). The PLSR model explained 73% of the variance in LDMC (%) in the calibration data.…”
Section: Derivation Of Ldmc α D and Dissimilarity From Remote Measmentioning
confidence: 99%
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