AIMC Topic: Ecosystem
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Forecasting deforestation and carbon loss across New Guinea using machine learning and cellular automata.
The Science of the total environment
Mar 7, 2025
The island of New Guinea harbors some of the world's most biologically diverse and highly endemic tropical ecosystems. Nevertheless, progressing land-use change in the region threatens their integrity, which will adversely affect their biodiversity a...
Classification of Mycena and Species Using Deep Learning Models: An Ecological and Taxonomic Approach.
Sensors (Basel, Switzerland)
Mar 7, 2025
Fungi play a critical role in ecosystems, contributing to biodiversity and providing economic and biotechnological value. In this study, we developed a novel deep learning-based framework for the classification of seven macrofungi species from the ge...
Machine learning unveils large-scale impact of Posidonia oceanica on Mediterranean Sea water.
The Science of the total environment
Feb 22, 2025
Posidonia oceanica is a protected endemic seagrass of the Mediterranean Sea that fosters biodiversity, stores carbon, releases oxygen, and provides habitat to numerous sea organisms. Leveraging augmented research, we collected a comprehensive dataset...
Remote sensing estimation of aboveground biomass of different forest types in Xinjiang based on machine learning.
Scientific reports
Feb 20, 2025
Forest aboveground biomass (AGB) is a key indicator reflecting the function and quality of forest ecosystems, and accurate large-scale estimations of forest AGB are essential for effective forest ecosystem management. However, owing to limitations in...
Change analysis of surface water clarity in the Persian Gulf and the Oman Sea by remote sensing data and an interpretable deep learning model.
Environmental science and pollution research international
Feb 18, 2025
The health of an ecosystem and the quality of water can be determined by the clarity of the water. The Persian Gulf and Oman Sea have a unique ecosystem, and monitoring their water clarity is necessary for sustainable development. Here, various crite...
Exploring the response of bacterial community functions to microplastic features in lake ecosystems through interpretable machine learning.
Environmental research
Feb 10, 2025
Microplastics (MPs) are ubiquitous and have various characteristics. However, their impacts on bacterial community functions in lakes remain elusive. In this study, we identified 33 different MPs features including their abundance, shape, color, size...
Integrating machine learning models for optimizing ecosystem health assessments through prediction of nitrate-N concentrations in the lower stretch of Ganga River, India.
Environmental science and pollution research international
Jan 30, 2025
Nitrate, a highly reactive form of inorganic nitrogen, is commonly found in aquatic environments. Understanding the dynamics of nitrate-N concentration in rivers and its interactions with other water-quality parameters is crucial for effective freshw...
Machine learning to identify environmental drivers of phytoplankton blooms in the Southern Baltic Sea.
Scientific reports
Jan 24, 2025
Phytoplankton blooms exhibit varying patterns in timing and number of peaks within ecosystems. These differences in blooming patterns are partly explained by phytoplankton:nutrient interactions and external factors such as temperature, salinity and l...
Insights into the contribution of multiple factors on Ixodes ricinus abundance across Europe spanning 20 years using different machine learning algorithms.
Ticks and tick-borne diseases
Jan 23, 2025
The interplay of biotic and abiotic factors driving Ixodes ricinus abundance trends are not fully understood. Machine learning (ML) approaches are being increasingly used to explore this and predict future abundance patterns of this species, however,...
The integrating of environmental sustainability assessment by using bipolar complex fuzzy soft Aczel-Alsina aggregation operators with EDAS approach.
Journal of environmental management
Jan 22, 2025
The act of responsibly engaging with the world is referred to as environmental sustainability. It entails preserving the world's ecosystems and natural resources for the benefit of present and future generations. Being forward-thinking is essential t...
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