AIMC Topic: Climate Change

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Reevaluating the Drivers of Fertilizer-Induced NO Emission: Insights from Interpretable Machine Learning.

Environmental science & technology Aug 20, 2024
Direct nitrous oxide (NO) emissions from fertilizer application are the largest anthropogenic source of global NO, but the factors influencing these emissions remain debated. Here, we compile 1134 observations of fertilizer-induced NO emission factor...
Climate Change Fertilizers Nitrous Oxide Machine Learning Soil
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Exploring the response and prediction of phytoplankton to environmental factors in eutrophic marine areas using interpretable machine learning methods.

The Science of the total environment Aug 17, 2024
Coastal marine areas are frequently affected by human activities and face ecological and environmental threats, such as algal blooms and climate change. The community structure of phytoplankton-primary producers in marine ecosystems-is highly sensiti...
Salinity Phytoplankton Climate Change Machine Learning Temperature Eutrophication Environmental Monitoring Ecosystem
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Examining optimized machine learning models for accurate multi-month drought forecasting: A representative case study in the USA.

Environmental science and pollution research international Aug 13, 2024
The Colorado River has experienced a significant streamflow reduction in recent decades due to climate change, resulting in pronounced hydrological droughts that pose challenges to the environment and human activities. However, current models struggl...
Droughts Forecasting United States Rivers Climate Change Models, Theoretical Machine Learning
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Long-term trend forecast of chlorophyll-a concentration over eutrophic lakes based on time series decomposition and deep learning algorithm.

The Science of the total environment Aug 10, 2024
Long-term trend forecast of chlorophyll-a concentration (Chla) holds significant implications for eutrophication management and pollution control planning on lakes, especially under the background of climate change. However, it is a challenging task ...
Eutrophication Lakes Forecasting Environmental Monitoring Seasons Climate Change Deep Learning China Chlorophyll Chlorophyll A
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Investigating the impact of climate variables on the organic honey yield in Turkey using XGBoost machine learning.

Journal of the science of food and agriculture Aug 9, 2024
BACKGROUND: The Turkish organic honey industry, a major player in the global market, faces challenges due to climate fluctuations. Understanding the influence of climate factors on honey production is vital for sustainable farming and economic stabil...
Organic Agriculture Beekeeping Climate Change Humidity Wind Animals Honey Bees Turkey Machine Learning Temperature
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An integrated deep learning approach for modeling dissolved oxygen concentration at coastal inlets based on hydro-climatic parameters.

Journal of environmental management Aug 7, 2024
Climate change has a significant impact on dissolved oxygen (DO) concentrations, particularly in coastal inlets where numerous human activities occur. Due to the various water quality (WQ), hydrological, and climatic parameters that influence this ph...
Neural Networks, Computer Oxygen Water Quality Climate Change Deep Learning Environmental Monitoring
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Monitoring the Spatial Distribution of Cover Crops and Tillage Practices Using Machine Learning and Environmental Drivers across Eastern South Dakota.

Environmental management Jul 29, 2024
The adoption of conservation agriculture methods, such as conservation tillage and cover cropping, is a viable alternative to conventional farming practices for improving soil health and reducing soil carbon losses. Despite their significance in miti...
Glycine max Machine Learning South Dakota Agriculture Climate Change Crops, Agricultural Conservation of Natural Resources Environmental Monitoring Zea mays
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Green finance growth prediction model based on time-series conditional generative adversarial networks.

PloS one Jul 24, 2024
Climate change mitigation necessitates increased investment in green sectors. This study proposes a methodology to predict green finance growth across various countries, aiming to encourage such investments. Our approach leverages time-series Conditi...
Asia Europe Climate Change Humans Neural Networks, Computer
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Short- and long-term weather prediction based on a hybrid of CEEMDAN, LMD, and ANN.

PloS one Jul 22, 2024
Agriculture is one of the major economic sectors in Africa, and it predominantly depends on the climate. However, extreme climate changes do have a negative impact on agricultural production. The damage resulting from extreme climate change can be mi...
Weather Humans Climate Change Forecasting Agriculture Neural Networks, Computer
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European beech spring phenological phase prediction with UAV-derived multispectral indices and machine learning regression.

Scientific reports Jul 9, 2024
Acquiring phenological event data is crucial for studying the impacts of climate change on forest dynamics and assessing the risks associated with the early onset of young leaves. Large-scale mapping of forest phenological timing using Earth observat...
Forests Seasons Unmanned Aerial Devices Fagus Climate Change Machine Learning Plant Leaves
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