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1. Relaxing leaf‐motion restrictions in dynamic multileaf collimator leaf sequencing

   https://doi.org/10.1002/mp.13158  

   Mirzapour, Seyed Ali; Salari, Ehsan (October 2018, Medical Physics)
2. The Artificial Leaf

   https://doi.org/10.1021/ar2003013  

   Nocera, Daniel G. (May 2012, Accounts of Chemical Research)
3. Leaf nonstructural carbohydrate residence time, not concentration, correlates with leaf functional traits following the leaf economic spectrum in woody plants

   https://doi.org/10.1111/nph.20315  

   Asao, Shinichi; Way, Danielle A; Turnbull, Matthew H; Stitt, Mark; McDowell, Nate G; Reich, Peter B; Bloomfield, Keith J; Zaragoza‐Castells, Joana; Creek, Danielle; O'Sullivan, Odhran; et al (May 2025, New Phytologist)

   Summary Nonstructural carbohydrate (NSC) concentrations might reflect the strategies described in the leaf economic spectrum (LES) due to their dependence on photosynthesis and respiration.We examined if NSC concentrations correlate with leaf structure, chemistry, and physiology traits for 114 species from 19 sites and 5 biomes around the globe.Total leaf NSC concentrations varied greatly from 16 to 199 mg g⁻¹dry mass and were mostly independent of leaf gas exchange and the LES traits. By contrast, leaf NSC residence time was shorter in species with higher rates of photosynthesis, following the fast‐slow strategies in the LES. An average leaf held an amount of NSCs that could sustain one night of leaf respiration and could be replenished in just a few hours of photosynthesis under saturating light, indicating that most daily carbon gain is exported.Our results suggest that NSC export is clearly linked to the economics of return on resource investment. 

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4. Leaf temperature and its dependence on atmospheric CO ₂ and leaf size

   https://doi.org/10.1002/gj.3757  

   Konrad, Wilfried; Katul, Gabriel; Roth‐Nebelsick, Anita (February 2021, Geological Journal)

   null (Ed.)
5. Linking leaf dark respiration to leaf traits and reflectance spectroscopy across diverse forest types

   https://doi.org/10.1111/nph.20267  

   Wu, Fengqi; Liu, Shuwen; Lamour, Julien; Atkin, Owen K; Yang, Nan; Dong, Tingting; Xu, Weiying; Smith, Nicholas G; Wang, Zhihui; Wang, Han; et al (April 2025, New Phytologist)

   Summary Leaf dark respiration (R_dark), an important yet rarely quantified component of carbon cycling in forest ecosystems, is often simulated from leaf traits such as the maximum carboxylation capacity (V_cmax), leaf mass per area (LMA), nitrogen (N) and phosphorus (P) concentrations, in terrestrial biosphere models. However, the validity of these relationships across forest types remains to be thoroughly assessed.Here, we analyzedR_darkvariability and its associations withV_cmaxand other leaf traits across three temperate, subtropical and tropical forests in China, evaluating the effectiveness of leaf spectroscopy as a superior monitoring alternative.We found that leaf magnesium and calcium concentrations were more significant in explaining cross‐siteR_darkthan commonly used traits like LMA, N and P concentrations, but univariate trait–R_darkrelationships were always weak (r² ≤ 0.15) and forest‐specific. Although multivariate relationships of leaf traits improved the model performance, leaf spectroscopy outperformed trait–R_darkrelationships, accurately predicted cross‐siteR_dark(r² = 0.65) and pinpointed the factors contributing toR_darkvariability.Our findings reveal a few novel traits with greater cross‐site scalability regardingR_dark, challenging the use of empirical trait–R_darkrelationships in process models and emphasize the potential of leaf spectroscopy as a promising alternative for estimatingR_dark, which could ultimately improve process modeling of terrestrial plant respiration. 

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