Evaluating and comparing remote sensing terrestrial GPP models for their response to climate variability and CO2 trends

Z Sun, X Wang, X Zhang, H Tani, E Guo, S Yin… - Science of the total …, 2019 - Elsevier
Remote sensing (RS)-based models play an important role in estimating and monitoring
terrestrial ecosystem gross primary productivity (GPP). Several RS-based GPP models have …

Would the obtainable gross primary productivity (GPP) products stand up? A critical assessment of 45 global GPP products

Y Zhang, A Ye - Science of the Total Environment, 2021 - Elsevier
Gross primary productivity (GPP) is a vital variable of the global carbon cycle, but the
quantification of global GPP is subject to significant uncertainty due to the lack of direct …

Environment-sensitivity functions for gross primary productivity in light use efficiency models

S Bao, T Wutzler, S Koirala, M Cuntz, A Ibrom… - Agricultural and Forest …, 2022 - Elsevier
The sensitivity of photosynthesis to environmental changes is essential for understanding
carbon cycle responses to global climate change and for the development of modeling …

Global prediction of gross primary productivity under future climate change

Q Lu, H Liu, L Wei, Y Zhong, Z Zhou - Science of The Total Environment, 2024 - Elsevier
The ecosystem gross primary productivity (GPP) is crucial to land-atmosphere carbon
exchanges, and changes in global GPP as well as its influencing factors have been well …

A fine spatial resolution estimation scheme for large-scale gross primary productivity (GPP) in mountain ecosystems by integrating an eco-hydrological model with the …

X **e, A Li, J Tian, C Wu, H ** - Journal of Hydrology, 2023 - Elsevier
Accurate estimation of mountain vegetation gross primary productivity (GPP) at fine spatial
resolutions offers opportunities to better understand mountain ecosystems' feedback to the …

[HTML][HTML] Capturing the spatiotemporal variations in the gross primary productivity in coastal wetlands by integrating eddy covariance, Landsat, and MODIS satellite …

Z Yang, Y Huang, Z Duan, J Tang - Ecological Indicators, 2023 - Elsevier
Accurate monitoring of the spatiotemporal variations in the gross primary productivity (GPP)
in coastal wetlands is essential for blue carbon quantification. However, the currently …

Observed high and persistent carbon uptake by Moso bamboo forests and its response to environmental drivers

X Song, X Chen, G Zhou, H Jiang, C Peng - Agricultural and Forest …, 2017 - Elsevier
Moso bamboo (Phyllostachys edulis) is widely distributed in subtropical regions, especially
in China. However, the capacity of Moso bamboo forests to sequester carbon remains poorly …

[HTML][HTML] Seasonal dynamics of Arctic soils: Capturing year-round processes in measurements and soil biogeochemical models

Z Lyu, P Sommers, SK Schmidt, M Magnani… - Earth-Science …, 2024 - Elsevier
The Arctic is undergoing rapid changes in climate, altering the status and functioning of high-
latitude soils and permafrost. The vast majority of studies on Arctic soils and permafrost are …

[HTML][HTML] Ecosystem health monitoring in the Shanghai-Hangzhou Bay Metropolitan Area: A hidden Markov modeling approach

R **ao, X Yu, R Shi, Z Zhang, W Yu, Y Li, G Chen… - Environment …, 2019 - Elsevier
Ecosystem health assessment is an important method for obtaining information on
ecosystem conditions, and it plays a vital role in preserving and enhancing ecosystem …

A canopy photosynthesis model based on a highly generalizable artificial neural network incorporated with a mechanistic understanding of single-leaf photosynthesis

T Kaneko, K Nomura, D Yasutake, T Iwao… - Agricultural and Forest …, 2022 - Elsevier
Crop productivity is largely dependent on canopy photosynthesis, which is difficult to
measure at farming sites. Therefore, real-time estimation of the canopy photosynthetic rate …