[HTML][HTML] Unraveling the interactions between flooding dynamics and agricultural productivity in a changing climate
T Rupngam, AJ Messiga - Sustainability, 2024 - mdpi.com
Extreme precipitation and flooding frequency associated with global climate change are
expected to increase worldwide, with major consequences in floodplains and areas …
expected to increase worldwide, with major consequences in floodplains and areas …
Towards a modular, multi-ecosystem monitoring, reporting and verification (MRV) framework for soil organic carbon stock change assessment
Soils are the largest terrestrial reservoir of organic carbon, yet they are easily degraded.
Consistent and accurate monitoring of changes in soil organic carbon stocks and net …
Consistent and accurate monitoring of changes in soil organic carbon stocks and net …
A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF)
Projected increases in food demand driven by population growth coupled with heightened
agricultural vulnerability to climate change jointly pose severe threats to global food security …
agricultural vulnerability to climate change jointly pose severe threats to global food security …
[HTML][HTML] Satellite Data and Machine Learning for Benchmarking Methane Concentrations in the Canadian Dairy Industry
H Bi, S Neethirajan - Sustainability, 2024 - mdpi.com
Amid escalating climate change concerns, methane—a greenhouse gas with a global
warming potential far exceeding that of carbon dioxide—demands urgent attention. The …
warming potential far exceeding that of carbon dioxide—demands urgent attention. The …
Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental Scales
Soil organic carbon (SOC) plays a vital role in global carbon cycling and sequestration,
underpinning the need for a comprehensive understanding of its distribution and controls …
underpinning the need for a comprehensive understanding of its distribution and controls …
[HTML][HTML] Assessing Future Ecological Sustainability Shaped by Shared Socioeconomic Pathways: Insights from an Arid Farming–Pastoral Zone of China
J Ji, S Zhang, T Zhou, F Zhang, T Zhao, X Wu, Y Zhuo… - Remote Sensing, 2024 - mdpi.com
Ecological sustainability quantifies the capacity of an ecological system to sustain its health
while fulfilling human survival needs and supporting future development. An accurate …
while fulfilling human survival needs and supporting future development. An accurate …
Investigation of greenhouse gas emissions in soil remediation activities based on the integration of machine learning models and life cycle assessment
Y Cai, H Chen, W Zhao, Y Sun, M Wang, Y Chen… - Journal of Cleaner …, 2024 - Elsevier
Addressing soil contamination and achieving carbon neutrality necessitate a comprehensive
evaluation of greenhouse gas (GHG) emissions from soil remediation activities. However …
evaluation of greenhouse gas (GHG) emissions from soil remediation activities. However …
Land use change alters soil organic carbon: Constrained global patterns and predictors
Land use change (LUC) alters the global carbon (C) stock, but our estimation of the
alteration remains uncertain and is a major impediment to predicting the global C cycle. The …
alteration remains uncertain and is a major impediment to predicting the global C cycle. The …
Feasibility of formulating ecosystem biogeochemical models from established physical rules
To improve the predictive capability of ecosystem biogeochemical models (EBMs), we
discuss the feasibility of formulating biogeochemical processes using physical rules that …
discuss the feasibility of formulating biogeochemical processes using physical rules that …
[HTML][HTML] Knowledge informed hybrid machine learning in agricultural yield prediction
Research on yield predictions is dominated by two approaches: machine learning and
process-based models. Machine learning has shown impressive results in capturing …
process-based models. Machine learning has shown impressive results in capturing …