Earth-observation-based monitoring of forests in Germany—recent progress and research frontiers: a review
One-third of Germany's land surface area is covered by forest (around 11.4 million hectares),
and thus, it characterizes the landscape. The forest is a habitat for a large number of animal …
and thus, it characterizes the landscape. The forest is a habitat for a large number of animal …
Machine learning-based prediction and assessment of recent dynamics of forest net primary productivity in Romania
While the analysis of spatio-temporal changes in the net primary productivity (NPP) of forests
can provide critical information on carbon cycle and climate change, these ecological trends …
can provide critical information on carbon cycle and climate change, these ecological trends …
Call for caution regarding the efficacy of large-scale afforestation and its hydrological effects
Large-scale afforestation programmes are generally presented as effective ways of
increasing the terrestrial carbon sink while preserving water availability and biodiversity. Yet …
increasing the terrestrial carbon sink while preserving water availability and biodiversity. Yet …
Global vegetation‐temperature sensitivity and its driving forces in the 21st century
W Yuxi, P Li, Y Yuemin, C Tiantian - Earth's Future, 2024 - Wiley Online Library
It has been projected that climatic warming will contribute to vegetation productivity
variability at the global scale. With a continued warming, to what extent and where the …
variability at the global scale. With a continued warming, to what extent and where the …
Assessment of Six Machine Learning Methods for Predicting Gross Primary Productivity in Grassland
H Wang, W Shao, Y Hu, W Cao, Y Zhang - Remote Sensing, 2023 - mdpi.com
Grassland gross primary productivity (GPP) is an important part of global terrestrial carbon
flux, and its accurate simulation and future prediction play an important role in …
flux, and its accurate simulation and future prediction play an important role in …
Shifts in intra-annual growth dynamics drive a decline in productivity of temperate trees in Central European forest under warmer climate
R Matula, S Knířová, J Vítámvás, M Šrámek… - Science of The Total …, 2023 - Elsevier
Climate change shifts tree growth phenology and dynamics in temperate forests. However,
there is still little information on how warming climate changes intra-annual growth patterns …
there is still little information on how warming climate changes intra-annual growth patterns …
Critical thresholds for nonlinear responses of ecosystem water use efficiency to drought
Climate change is expected to lead to greater variability in precipitation and drought in
different regions. However, the responses of ecosystem carbon and water cycles (ie, water …
different regions. However, the responses of ecosystem carbon and water cycles (ie, water …
Volatile compounds in citrus in adaptation to water deficit and to herbivory by Diaphorina citri: how the secondary metabolism of the plant is modulated under …
IP da Silva, MGC Costa, MFF da Costa, MAA da Silva… - Plant Science, 2024 - Elsevier
Citrus plants are grown in diverse regions of the world, from subtropical to semi-arid and
humid tropical areas. Through mechanisms essential for their survival, they adapt to the …
humid tropical areas. Through mechanisms essential for their survival, they adapt to the …
Variability of spring ecosystem water use efficiency in Northeast Asia and its linkage to the Polar-Eurasia pattern
Given that water use efficiency (WUE) is an important indicator to measure the trade-off
between carbon uptake and water consumption within the ecosystem, better understanding …
between carbon uptake and water consumption within the ecosystem, better understanding …
[HTML][HTML] Estimation of the Net Primary Productivity of Grasslands in the Qinghai Tibet Plateau Based on a Machine Learning Model and Sensitivity Analysis to Climate …
X Liu, Y Zhao, M Zhang, M Su - Agronomy, 2024 - mdpi.com
This study applies the Multilayer Perceptron (MLP) and Random Forest (RF) models,
utilizing remote sensing and ground-based net primary productivity (NPP) data from 1992 to …
utilizing remote sensing and ground-based net primary productivity (NPP) data from 1992 to …