Achieving the 2 C global warming target will require all stakeholders, from local to global, to
accelerate carbon reduction plans. To properly estimate carbon amounts sequestered and …

To elucidate the potential of hyperspectral remote sensing for estimating the functional leaf
traits in East Asian forests, we investigated the utility of leaf spectroscopy and partial least …

To clarify the utility of spectral vegetation indices (VIs) for estimating light conversion efficiency
(ɛ) in Japanese coniferous forests, we investigated the relationships between six VIs (…

To evaluate the sensitivity of Japanese cedar (Cryptomeria japonica D. Don) and Japanese
red pine (Pinus densiflora Sieb. et Zucc.) to high N deposition, 1-year-old seedlings were …

Remotely sensed vegetation indices such as the normalized difference vegetation index (NDVI)
or enhanced vegetation index (EVI) have been used to scale up flux-based gross …

Plant phenological development is orchestrated through subtle changes in photoperiod,
temperature, soil moisture and nutrient availability. Presently, the exact timing of plant …

… Nakaji et al. … Nakaji et al. 277 … Tatsuro Hirose (Hokuriku National Agricultural
Experiment Station) for biochemical analyses, and Dr. Takuya Kobayashi (Central …

How global warming will affect soil respiration (R S ) and its source components is poorly
understood despite its importance for accurate prediction of global carbon (C) cycles. We …

Leaf traits are essential for understanding many physiological and ecological processes.
Partial least squares regression (PLSR) models with leaf spectroscopy are widely applied for …

We report long‐term continuous phenological and sky images taken by time‐lapse cameras
through the Phenological Eyes Network ( http://www.pheno‐eye.org . Accessed 29 May …