AIMC Topic: Tropical Climate
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Soil moisture mapping in Indian tropical islands with C-band SAR and artificial neural network models.
Environmental monitoring and assessment
Jun 17, 2025
This study aims at analyzing the patterns of soil moisture in the South Andaman district using an integrated approach that incorporates Sentinel-1A C-band synthetic aperture radar (SAR) data and other auxiliary data from Sentinel-2A and Landsat 8. A ...
Acoustic monitoring for tropical insect conservation.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Jun 12, 2025
Monitoring the species-specific sounds produced by insects could provide us with a rapid, reliable, non-invasive measure of tropical ecosystem health and biodiversity. Although acoustic biodiversity monitoring has made rapid progress over the past de...
Soil fertility matters! A new conceptual model for carbon stewardship in neotropical croplands taking climate-smart agricultural practices into account.
The Science of the total environment
Apr 16, 2025
Mismanagement of agroecosystems in Neotropical regions threatens global security, accelerating the transgression of planetary boundaries. Therefore, understanding carbon (C) stewardship and how climate-smart agriculture (CSA) practices change nutrien...
Comparing statistical and deep learning approaches for simultaneous prediction of stand-level above- and belowground biomass in tropical forests.
The Science of the total environment
Dec 5, 2024
Accurate and cost-effective prediction of aboveground biomass (AGB), belowground biomass (BGB), and the total (ABGB) at stand-level within tropical forests is crucial for effective forest ecological management and the provision of forest ecosystem se...
Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests.
Nature communications
Oct 17, 2023
Tropical forest recovery is fundamental to addressing the intertwined climate and biodiversity loss crises. While regenerating trees sequester carbon relatively quickly, the pace of biodiversity recovery remains contentious. Here, we use bioacoustics...
Anthropogenic fingerprints in daily precipitation revealed by deep learning.
Nature
Aug 30, 2023
According to twenty-first century climate-model projections, greenhouse warming will intensify rainfall variability and extremes across the globe. However, verifying this prediction using observations has remained a substantial challenge owing to lar...
Ensemble of fuzzy-analytical hierarchy process in landslide susceptibility modeling from a humid tropical region of Western Ghats, Southern India.
Environmental science and pollution research international
May 9, 2023
The western flanks of the Western Ghats are one of the major landslide hotspots in India. Recent rainfall triggered landslide incidents in this humid tropical region necessitating the accurate and reliable landslide susceptibility mapping (LSM) of se...
Characterizing and forecasting the responses of tropical forest leaf phenology to El Nino by machine learning algorithms.
PloS one
Aug 26, 2021
Climate change and global warming have serious adverse impacts on tropical forests. In particular, climate change may induce changes in leaf phenology. However, in tropical dry forests where tree diversity is high, species responses to climate change...
Quantifying Tropical Plant Diversity Requires an Integrated Technological Approach.
Trends in ecology & evolution
Sep 7, 2020
Tropical biomes are the most diverse plant communities on Earth, and quantifying this diversity at large spatial scales is vital for many purposes. As macroecological approaches proliferate, the taxonomic uncertainties in species occurrence data are ...
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