Climate change is a global concern, and its impact on environmental variables such as temperature and annual precipitation is unknown spatially in the desert, andes, and rainforest ecoregions of Peru, Ecuador, and Colombia. In this study, we conducted a general review of climate drivers for South America (SA) and explored climate data using the GCM compareR package (General Circulation Models) and average ensembles for temperature and precipitation. Our results showed that all GCMs demonstrated increases in the annual mean temperature (BIO1) and in the mean temperature of the driest quarter (BIO9) for Peru, Ecuador, and Colombia for 2050 in three RCPs (2.6, 4.5, and 8.5). Also, most of the GCMs showed increases in the annual precipitation (BIO12) and the precipitation in the driest quarter (BIO17). We conducted non-parametric tests (Kruskal-Wallis Test) to assess if the medians of temperature and precipitation in the three ecoregions are equal for both the baseline and the climate change scenarios. We rejected the null hypothesis that the medians are equal for both temperatures and precipitation in the baseline vs. 2050 RCPs (2.6, 4.5, and 8.5). A spatial analysis was conducted to visualize the variations in temperature and precipitation between the RCPs versus the baseline, and the spatial variation at the country or ecoregion level can be observed. The annual mean temperature (°C) or annual precipitation (mm) divided by its standard deviation for each ecoregion (M metric) was analyzed to see how much the average temperature or the annual precipitation is relatively large compared to the variability or dispersion of temperatures or precipitation respectively; the average temperature and the annual precipitation for the baseline and the three RCPs are relatively large and associated with the variability or dispersion of their temperatures in the Napo moist forest compared to the other ecoregions. Our study provides important insights into the potential impacts of climate change on these ecosystems. Prospects in the Napo moist forest ecoregion, where significant changes in temperature and humidity have already occurred, and new species have invaded or evolved in the western Amazon rainforest, are particularly highlighted and reflected in terms of risk mitigation, ecosystem restoration, surveillance, and monitoring.
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http://dx.doi.org/10.1016/j.heliyon.2025.e42459 | DOI Listing |
Mar Pollut Bull
March 2025
Department of Oceanography, National Sun Yat-sen University, Kaohsiung 80424, Taiwan, ROC.
This study examines the carbonate chemistry of the Persian Gulf within the Iranian Exclusive Economic Zone, using datasets collected during the PGE2102 expedition in September 2021. The water column was stratified, with a warm, oxic upper layer (0-25 m: 33.2 °C, salinity 38.
View Article and Find Full Text PDFHighly accurate evapotranspiration (ET) estimation and understanding the impacts of climatic and land use change on ET are essential for water resources management in the Haihe River Basin (HRB). This study estimated spatial and temporal changes of ET and its drivers over the period 2000-2020, using the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model. Validation performed with the observations of 11 eddy covariance sites showed that the PT-JPL model can simulate ET with high accuracy ( = 0.
View Article and Find Full Text PDFSci Rep
March 2025
School of Hydraulic and Electric Power, Heilongjiang University, Harbin, 150080, China.
To precisely delineate the transformation dynamics across several temporal and spatial scales in the middle and lower portions of the Songhua River basin in Heilongjiang Province, China, characterized by numerous irrigation zones and frequent transitions from surface water to groundwater. The SWAT-MODLFOW model, developed on the QSWATMOD2 platform, was validated using river runoff data and groundwater level observations. Consequently, the delay of precipitation on groundwater levels and the correlation between surface water and groundwater dynamics in the middle and lower portions of the Songhua River basin were modeled.
View Article and Find Full Text PDFAnn Bot
March 2025
INRAE, Aix-Marseille University, UMR RECOVER, 3275 route de Cézanne, CS 40061, F- 13182 Aix-en-Provence Cedex 5, France.
Background And Aims: With ongoing climate change, the impact of droughts of increasing intensity on forest functioning is of critical concern. While the adverse effects of drought on tree secondary growth have been largely documented both at the tree and stand scales, our understanding of how primary growth morphological traits, which control crown development, respond to drought remains limited - especially in the long term.
Methods: Based on 14 years of monitoring of four primary growth morphological traits (e.
Environ Monit Assess
March 2025
National Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Beijing, 100081, China.
Comprehensive and accurate acquisition of surface soil pH spatial distribution information is essential for monitoring soil degradation and providing scientific guidance for agricultural practices. This study focused on Heilongjiang Province in China, utilizing data from 125 soil survey sampling points. Key environmental covariates were identified as modeling inputs through Pearson correlation analysis and recursive feature elimination (RFE).
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