The pesticides used have contributed to increasing food production; it has also caused them to be found in most ecosystems and have negative effects on biota. The neotropical otter (Lontra longicaudis) is vulnerable to pesticide accumulation and is characterized by being elusive, so it is necessary to address the use of indirect techniques that evaluate its populations' state in an efficient, logistically simple, and non-invasive way. This study aimed to determine the concentration of 20 pesticides in neotropical otter feces in the Ayuquila-Armería basin and to describe the spatiotemporal variation of these pesticides. The presence of 11 pesticides was determined. Imazalil, picloram, and malathion the pesticides with the highest concentrations; emamectin, λ-cyhalothrin, methomyl, and picloram were present in all samples. Emamectin was the only pesticide that presented significant differences concerning the temporality of the samplings, presenting higher concentrations in the wet season. Molinate concentrations showed significant differences concerning the location of the sampling sections in the basin; the lower part of the basin presented higher concentrations. The distribution of the populations of L. longicaudis in the Ayuquila-Armería basin does not respond to the degree of contamination by pesticides in surface waters or to the proximity to agricultural activities, and this in places with evident chemical and organic contamination and human presence. The use of otter feces for pesticide monitoring is an accepted non-invasive method to assess the degree of exposure and can be used to determine sites with pollution problems.
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http://dx.doi.org/10.1007/s10661-022-09952-3 | DOI Listing |
Plant Divers
November 2024
State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences/School of Ecology, Sun Yat-sen University, Guangzhou 510275, China.
•Three types of from the late Oligocene and Miocene of Guangxi showcase the diversity of during this time.•Earliest Asian megafossils of are from the late Oligocene of Nanning Basin, Guangxi, China.•Fossils and modeling reveal was quite diverse and has persisted at low latitudes within Asia since late Oligocene.
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June 2025
Applied Geology Research Group, Faculty of Earth Sciences and Technology, Bandung Institute of Technology (ITB), Bandung, West Java 40132, Indonesia.
The first groundwater modeling of the Bandung Aquifer Basin in 2009 used a finite difference method with a 0.5 km² grid, representing three volcanic geological layers. It assumed uniform hydraulic properties and used an equivalent homogeneous aquifer with anisotropic hydraulic conductivity.
View Article and Find Full Text PDFData Brief
February 2025
Department of Earth and Geoenvironmental Sciences, University of Bari, 70125 Bari, Italy.
An open-source geodatabase and its associate WebGIS platform (CONNECTOSED) were developed to collect and utilize data for the Sediment Flow Connectivity Index (SfCI) for the Apulia region of southern Italy. Maps depicting sediment mobility and connectivity across the hydrographic basins of the Apulia region were generated and stored in the geodatabase. This geodatabase is organized into folders containing data in TIFF, shapefile, Jpeg and Pdf formats, including input variables (digital elevation model, land cover map, rainfall map, and soil units dataset for each hydrographic basin), classification graphs (ranking of variable values), dimensionless index maps (slope, ruggedness, rainfall, land cover, and soil stability) and key products (maps of sediment mobility, SfCI, and applied SfCI).
View Article and Find Full Text PDFIntegr Zool
January 2025
State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, China.
The genus Hylomys now comprises seven species instead of two; the Hylomys species in China should be classified as Hylomys peguensis.
View Article and Find Full Text PDFSci Rep
January 2025
School of Public Administration, Hohai University, Nanjing, 211100, China.
The Yellow River Basin is China's grain production base and ecological barrier, with an important strategic position. Therefore, it is of great significance to analyze spatiotemporal pattern of ecosystem services and agricultural green, and further exploring the driving mechanism of coordination using the GTWR model to examine how the Yellow River Basin's agriculture evolve sustainably. The results indicate that: (1) In 2011-2021, the Yellow River Basin's ecosystem service value showed a state of growth first and then decline, indicating that the decrease trend cannot be ignored; the Yellow River Basin has seen a steady rise in agricultural green level, with regional disparities progressively disappearing.
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