Temperature responses of ecosystem respiration

S Niu, W Chen, LL Liáng, CA Sierra, J ** in Lake Urmia, Iran
MK Garajeh, F Malakyar, Q Weng, B Feizizadeh… - Science of the Total …, 2021 - Elsevier
Traditional soil salinity studies are time-consuming and expensive, especially over large
areas. This study proposed an innovative deep learning convolutional neural network (DL …

Carbon Farming: Bridging Technology Development with Policy Goals

G Kyriakarakos, T Petropoulos, V Marinoudi, R Berruto… - Sustainability, 2024 - mdpi.com
This paper conducts an in-depth exploration of carbon farming at the confluence of
advanced technology and EU policy, particularly within the context of the European Green …

Interpretation of convolutional neural networks for acid sulfate soil classification

A Beucher, CB Rasmussen, TB Moeslund… - Frontiers in …, 2022 - frontiersin.org
Convolutional neural networks (CNNs) have been originally used for computer vision tasks,
such as image classification. While several digital soil map** studies have been …

Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration

I Fer, AK Gardella, AN Shiklomanov… - Global Change …, 2021 - Wiley Online Library
In an era of rapid global change, our ability to understand and predict Earth's natural
systems is lagging behind our ability to monitor and measure changes in the biosphere …

Model parameterization to represent processes at unresolved scales and changing properties of evolving systems

Y Luo, EAG Schuur - Global Change Biology, 2020 - Wiley Online Library
Modeling has become an indispensable tool for scientific research. However, models
generate great uncertainty when they are used to predict or forecast ecosystem responses to …

Research challenges and opportunities for using big data in global change biology

J **a, J Wang, S Niu - Global Change Biology, 2020 - Wiley Online Library
Global change biology has been entering a big data era due to the vast increase in
availability of both environmental and biological data. Big data refers to large data volume …