AIMC Topic: Climate Change

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Remote sensing-based long-term assessment of bioenergy policy impact on agricultural land cover change: A case study of biogas in the Weser-Ems region in Germany.

The Science of the total environment
Climate change, population growth, and other global challenges are putting pressure on the limited land resources, in particular on agricultural land, to satisfy the demands for food, energy carriers, raw materials for the chemical industry, and ecos...

Genetic regulations of citrus flowering: insights towards climatic factors and modern biotechnological approaches.

Planta
The review highlights the intricate relationship between genetic and molecular mechanisms that regulate floral development and responses in citrus under diverse climatic conditions. Citrus, the world's top traded and third most produced fruit crop, h...

Estimation of woody vegetation biomass in Australia based on multi-source remote sensing data and stacking models.

Scientific reports
Vegetation serves as the most critical carbon reservoir within terrestrial ecosystems and plays a vital role in mitigating global climate change. Australia features a vast and diverse landscape, ranging from dense eucalyptus forests to sparse woodlan...

Air transportation carbon dioxide emission forecasting: An improved back propagation neural network.

PloS one
To address the challenges of increasing carbon dioxide (CO2) emissions and climate change caused by the growth of air traffic, accurate prediction of CO2 emissions in civil aviation has become crucial. This study proposes a CO2 emission prediction me...

When crops fail, forests follow: Agricultural shocks and deforestation in Zambia.

Proceedings of the National Academy of Sciences of the United States of America
As climate change makes agricultural production shocks more frequent and severe, it is vital to understand their effect on farmer welfare, land use, and deforestation. Theoretically, a change in agricultural productivity could increase or decrease de...

Artificial Intelligence Modeling for Groundwater Environments across Spatial Scales.

Environmental science & technology
Groundwater is threatened by climate change and human activities, with depletion and contamination emerging as critical risks, necessitating the development of models to estimate its response to changes. Artificial intelligence (AI) is gaining increa...

Human activities and climate override local catchment characteristics in explaining long-term phytoplankton trends in prairie lakes.

The Science of the total environment
Lakes across the globe are experiencing growing ecological pressure from climate change and human activities. In prairie regions, these pressures often result in shifts in phytoplankton abundance, a key indicator of water quality. Yet identifying the...

Machine learning-based assessment of land use change effects on land surface temperature fluctuations in Ho Chi Minh city, Vietnam.

Environmental monitoring and assessment
Sustainable urban development requires actionable insights into the thermal consequences of land transformation. This study examines the impact of land use and land cover (LULC) changes on land surface temperature (LST) in Ho Chi Minh city, Vietnam, ...

Comparative evaluation of machine learning algorithms for greenhouse gas emission forecasting: a case study of Turkey (2012-2021).

Environmental monitoring and assessment
Accurate forecasting of greenhouse gas (GHG) emissions is essential for assessing climate change dynamics and developing evidence-based environmental policies. This study aims to comparatively evaluate the prediction performance of various machine le...

Trait mediation explains decadal distributional shifts for a wide range of insect taxa.

Nature communications
Shifts in insect distributions have been reported globally, largely attributed to climate and landscape changes. Communities are being reshaped, with species response traits mediating the effects of changing environments. Using a machine-learning app...