SPATIAL CLUSTERS AND TEMPORAL TRENDS OF GROUNDWATER STORAGE IN THE PARANAPANEMA RIVER BASIN, BRAZIL DOI
Rodrigo Lilla Manzione,

Carolina Souza Brizotti

Groundwater for Sustainable Development, Journal Year: 2025, Volume and Issue: unknown, P. 101453 - 101453

Published: May 1, 2025

Language: Английский

Environmental gradients and distribution of tree species in Amazon hydroelectric dams: implications for conservation DOI
Micael Felipe de Moraes, Pedro V. Eisenlohr

Folia Geobotanica, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Language: Английский

Citations

0

Assessing temperature and water vapour in the atmospheric column over South America: a synopsis of identified trends using ERA5 reanalysis DOI
Anna Carolina Bazzanela, Wanderson Luiz‐Silva,

Juan Neres

et al.

Journal of Atmospheric and Solar-Terrestrial Physics, Journal Year: 2025, Volume and Issue: unknown, P. 106514 - 106514

Published: April 1, 2025

Language: Английский

Citations

0

Drought Monitoring in the Agrotechnological Districts of the Semear Digital Center DOI Creative Commons
Tamires Lima da Silva, L. A. S. Romani, S. R. M. Evangelista

et al.

Atmosphere, Journal Year: 2025, Volume and Issue: 16(4), P. 465 - 465

Published: April 17, 2025

Drought affects the agricultural sector, posing challenges for farm management, particularly among medium- and small-scale producers. This study uses climate data from remote sensing products to evaluate drought trends in Semear Digital Center’s Agrotechnological Districts (DATs), which are characterized by a high concentration of small- medium-sized farms Brazil. Precipitation Climate Hazards Group InfraRed with Station (CHIRPS) land surface temperature Moderate Resolution Imaging Spectroradiometer (MODIS) were applied calculate Standardized Precipitation–Evapotranspiration Index (SPEI) 6-month timescale 2000 2024, analysis divided into 2000–2012 2013–2024. Some limitations noted: MODIS systematically underestimated temperatures, while CHIRPS tended underestimate precipitation most DATs. Despite discrepancies, these datasets remain valuable monitoring areas where long-term ground weather station lacking SPEI assessments. Agricultural frequency severity increased 2013–2024 period. Exceptional, extreme, severe, moderate events rose 7.3, 5.4, 2.2 1.0 times, respectively. These highlight importance adopting smart farming technologies enhance resilience DATs change.

Language: Английский

Citations

0

Recent Forest Loss in the Brazilian Amazon Causes Substantial Reductions in Dry Season Precipitation DOI Creative Commons
Yu Liu, Dominick V. Spracklen, Douglas J. Parker

et al.

AGU Advances, Journal Year: 2025, Volume and Issue: 6(2)

Published: April 1, 2025

Abstract The Amazon has experienced extensive deforestation in recent decades, causing substantial impacts on local and regional climate. However, the precipitation response to this forest cover change remains unclear. Here, we examined biophysical effects of Brazilian dry season using a coupled climate model with embedded water vapor tracers. We find that 3.2% mean reduction occurred Rondônia Mato Grosso during 2002–2015 caused 3.5 ± 0.8% evapotranspiration 5.4 4.4% precipitation. warmed dried lower atmosphere reducing convection Reductions incoming moisture, dominated by reduced moisture inflow mid‐troposphere, accounted for 25% total amplified loss. efficiency explains 84.5% remainder due reductions precipitable water. sourced from accounts 76.9% simulated reduction, remaining 23.1% evapotranspiration. Our study demonstrates Amazon, highlighting importance atmospheric responses land region.

Language: Английский

Citations

0

SPATIAL CLUSTERS AND TEMPORAL TRENDS OF GROUNDWATER STORAGE IN THE PARANAPANEMA RIVER BASIN, BRAZIL DOI
Rodrigo Lilla Manzione,

Carolina Souza Brizotti

Groundwater for Sustainable Development, Journal Year: 2025, Volume and Issue: unknown, P. 101453 - 101453

Published: May 1, 2025

Language: Английский

Citations

0