Widespread and complex drought effects on vegetation physiology inferred from space

W Li, J Pacheco-Labrador, M Migliavacca… - Nature …, 2023 - nature.com
The response of vegetation physiology to drought at large spatial scales is poorly
understood due to a lack of direct observations. Here, we study vegetation drought …

Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods

W Zhu, Z Xie, C Zhao, Z Zheng, K Qiao… - GIScience & Remote …, 2024 - Taylor & Francis
Accurately estimating gross primary productivity (GPP), the largest carbon flux in terrestrial
ecosystems, is crucial for advancing our understanding of global carbon cycle and …

Deriving photosystem-level red chlorophyll fluorescence emission by combining leaf chlorophyll content and canopy far-red solar-induced fluorescence: Possibilities …

L Wu, Y Zhang, Z Zhang, X Zhang, Y Wu… - Remote Sensing of …, 2024 - Elsevier
Solar-induced chlorophyll fluorescence (SIF) emitted from photosystem I (PSI) and
photosystem II (PSII) is characterized by two peaks centered in the red and far-red spectral …

Water level drawdown makes boreal peatland vegetation more responsive to weather conditions

E Köster, JPB Chapman, JM Barel… - Global Change …, 2023 - Wiley Online Library
Climate warming and projected increase in summer droughts puts northern peatlands under
pressure by subjecting them to a combination of gradual drying and extreme weather …

Why models underestimate West African tropical forest primary productivity

H Zhang-Zheng, X Deng, J Aguirre-Gutiérrez… - Nature …, 2024 - nature.com
Tropical forests dominate terrestrial photosynthesis, yet there are major contradictions in our
understanding due to a lack of field studies, especially outside the tropical Americas. A …

Global photosynthetic capacity of C3 biomes retrieved from solar-induced chlorophyll fluorescence and leaf chlorophyll content

Y Liu, JM Chen, L He, R Wang, NG Smith… - Remote Sensing of …, 2023 - Elsevier
Abstract The maximum Ribulose-1, 5-bisphosphate carboxylase/oxygenase (Rubisco)
carboxylation rate (V cmax) has been widely used to help determine the photosynthetic …

Innovative approach for estimating evapotranspiration and gross primary productivity by integrating land data assimilation, machine learning, and multi-source …

X He, S Liu, SM Bateni, T Xu, C Jun, D Kim, X Li… - Agricultural and Forest …, 2024 - Elsevier
The integration of data assimilation (DA) and machine learning (ML) methods helps to
incorporate multi-source observations into physical models, enabling more accurate …

Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics

W Li, G Duveiller, S Wieneke, M Forkel… - Environmental …, 2024 - iopscience.iop.org
Vegetation plays an essential role in regulating carbon and water cycles, eg by taking up
atmospheric CO 2 through photosynthesis and by transferring soil water to the atmosphere …

[HTML][HTML] A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: Demonstration with photosynthesis …

D Aboelyazeed, C Xu, FM Hoffman, J Liu… - …, 2023 - bg.copernicus.org
Photosynthesis plays an important role in carbon, nitrogen, and water cycles. Ecosystem
models for photosynthesis are characterized by many parameters that are obtained from …

Spectral detection of leaf carbon and nitrogen as a proxy for remote assessment of photosynthetic capacity for wheat and maize under nitrogen stress

Z Yang, J Tian, L Zhang, O Zan, X Yan… - Computers and Electronics …, 2024 - Elsevier
Leaf carbon and nitrogen status has been shown to be cues for photosynthetic performance
(eg, Vcmax) in past studies. However, there is a theoretical gap in intuitive spectral …