Changing snow conditions are challenging moose (Alces alces) surveys in Alaska DOI Creative Commons
Todd J. Brinkman,

Kalin A. Kellie,

Adele K. Reinking

et al.

Wildlife Society Bulletin, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 11, 2024

Abstract Snow conditions are changing rapidly across our planet, which has important implications for wildlife managers. In Alaska, USA, the later arrival of snow is challenging managers' ability to conduct aerial fall (autumn) moose ( Alces alces ) surveys. Complete cover required reliably detect and count using visual observation from an aircraft. With inadequate help generate high‐quality survey data, it difficult managers determine if they effectively meeting population goals optimizing hunting opportunities. We quantified past relationships projected future trends between success 7 different management areas in Alaska 32 years (1987–2019) data modeled data. found that mean depth was 15 cm (SD = 11) when surveys were initiated, depths greater completed compared canceled. Further, we toward beginning season (1 November) best predictor whether a any given year. Based on conditions, trend 1 November declined 1980 2020 5 out areas. These findings, coupled with projections, indicated by 2055, delayed onset adequate accumulation will prevent completion over roughly 60% Alaska's managed at this time Our findings can be used guide decisions related reliability identify timelines development alternate measurement monitoring methods.

Language: Английский

Time series trend analysis and forecasting of climate variability using deep learning in Thailand DOI Creative Commons
Muhammad Waqas, Usa Wannasingha Humphries,

Phyo Thandar Hlaing

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102997 - 102997

Published: Sept. 1, 2024

Language: Английский

Citations

17
A Comparative Spatiotemporal Analysis for Long-Term Trends of Hydrometeorological Variables in Maritsa River Basin DOI Creative Commons
Mehmet Seren Korkmaz,

Kevser Merkür,

Ertuğrul Sunan

et al.

Doğal Afetler ve Çevre Dergisi, Journal Year: 2025, Volume and Issue: 11(1), P. 268 - 289

Published: Jan. 25, 2025

Revealing long-term trends in hydrometeorological variables plays a critical role the sustainable management and planning of water resources. These analyses are necessary to understand climate change impacts, taking precautions for natural disasters, plan agricultural activities, develop strategies. The aim this study is examine changes monthly annual total precipitation evapotranspiration values Maritsa River Basin, transboundary basin between Bulgaria, Greece, Türkiye. For this, 1982-2023 years were taken from Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) data set, European Reanalysis 5th Generation-Land (ERA5-Land) set. Mann-Kendall, Sen's slope estimator, Innovative Trend Analysis (ITA) methods used determine trends. According test results, there statistically significant increase within 95% confidence interval 99% interval. Specifically all three positive observed October, January, May June. In trend analysis, except November, December, June July. increases visualized using graphical method ITA. Significant increasing both reveal hydrological cycle basin. results can be solving problems related area.

Language: Английский

Citations

0
Innovative trend analysis of long-term spatial-temporal rainfall patterns over Botswana: Implications for water resources management DOI Creative Commons
Piet K. Kenabatho

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102217 - 102217

Published: Feb. 5, 2025

Language: Английский

Citations

0
Assessing Solar Energy Production in Senegal Under Future Climate Scenarios Using Regional Climate Models. DOI Creative Commons

Aïssatou Ndiaye,

Dahirou Wane, Cheikh Dione

et al.

Solar Energy Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100101 - 100101

Published: March 1, 2025

Language: Английский

Citations

0
Küresel İklim Değişikliği ve İklim Göstergelerindeki Tarihsel Eğilimler DOI Open Access
Muhammet Tokmakçı, Mehmet Bilgili, Engin Pınar

et al.

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi, Journal Year: 2025, Volume and Issue: 40(1), P. 127 - 140

Published: March 26, 2025

İklim değişikliğinin temel nedeni, atmosferin fiziksel özelliklerini değiştiren ve iklimsel bozulmalara yol açan sera gazı emisyonlarının artmasıdır. Küresel ortalama sıcaklıkların artması, çiğ noktası sıcaklıklarının yükselmesine bağıl nemin azalmasına neden olmuştur. Bu çalışmada, 1970-2023 yılları arasında küresel iklim göstergelerindeki değişimler ayrıntılı olarak incelenmiş kuru termometre sıcaklığı (Tk), (Td), depresyonu (DPD), özgül nem (w), (RH) yoğunluk (ρ) gibi kritik parametrelerdeki eğilimler analiz edilmiştir. Bulgular, hızla ilerlediğini, kuraklık şiddetli hava olaylarının olasılığını artırdığını gösteriyor. Ek olarak, gelecekteki çevresel sosyo-ekonomik uyum stratejileriyle ilgili acil eylem gerekliliği vurgulanmıştır. etkilerinin daha iyi anlaşılmasını uzun vadeli veriler modellerine dayalı uygun politikaların geliştirilmesini amaçlamaktadır.

Citations

0
Clinical Risk Stratification: Prague Validation of the DAAE Score, A Clinical Tool for Estimating Risk of Transition to Secondary Progressive Multiple Sclerosis DOI Creative Commons

Julia R. Jelgerhuis,

Tomáš Uher, Eva Havrdová

et al.

Multiple Sclerosis and Related Disorders, Journal Year: 2025, Volume and Issue: unknown, P. 106423 - 106423

Published: April 1, 2025

Secondary progressive MS is associated with a worse prognosis, warranting the need for early predictive tools. The DAAE score estimates five-year risk of transition to clinical diagnosis SPMS, showing 38 % in high-risk patients Amsterdam and Buffalo data. remains be validated against objective disease progression criteria. External validation using data from Prague cohort MSBase-Lorscheider Among 2022 database, 14.3 clinically progressed according MSbase-Lorscheider criteria over five years. Risk increased higher scores comparable data; secondary showed an AUROC 0.742 faster groups (p < 0.05), therapy-adjusted. performs similarly between centers These steps support its use personalized management treatment.

Language: Английский

Citations

0
Current Status of Aerosol in the Northern Key Economic Zone of Vietnam and Identification of Region Affecting Hanoi's Air Quality DOI
Tuyen D. Nguyen,

Quang-Thang Phan,

Huu Tạp Van

et al.

Water Air & Soil Pollution, Journal Year: 2025, Volume and Issue: 236(7)

Published: April 29, 2025

Language: Английский

Citations

0
Factors associated with appropriate household water treatment method in Thailand DOI Open Access
Suyitno Suyitno, Maretalinia Maretalinia, Supriatin Supriatin

et al.

Environmental Health Engineering and Management, Journal Year: 2025, Volume and Issue: 12, P. 1399 - 1399

Published: Feb. 22, 2025

Background: Household water treatment is a vital public health measure, particularly in regions with limited access to clean drinking water. While several studies have explored practices globally, there understanding of the specific factors influencing these Thailand. This study addresses this gap by investigating determinants adoption and role socioeconomic, regional, demographic shaping behaviors. Methods: Secondary data from Multiple Indicators Cluster Survey (MICS), conducted National Statistical Office (NSO) Thailand UNICEF June October 2022, was analyzed. The survey covered 29 784 households across 12 provinces Analytical methods included univariate, bivariate, multivariate techniques, binary logistic regression applied identify significant predictors, using 95% confidence interval. Results: Water were observed only 19.11% households. most identified through analysis household wealth religion. Households wealthiest quintile 2.84 times more likely treat compared poorest. Additionally, Muslim heads 1.98 times, those practicing other religions 1.65 adopt Buddhist. Conclusion: Although few engaged treatment, key findings reveal strong associations wealth, religion, presence young children household. These insights highlight need for targeted, context-specific interventions address disparities enhance safety

Language: Английский

Citations

0
Understanding temperature-rain data using ID3 based concept reduction technique in FCA DOI Creative Commons

S. Usharani,

Stephanie Kaspar

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 25, 2025

Abstract Proper understanding of rain yield along with the relevance factors and their extent relation in is very important to maintain a smooth life style every one’s life. The definitive classification mean temperature heaviest rainy days depends on weather changes that occur seasonwise during any year. In reality, visualizing effects climatic such as rain-yield over period years difficult there no method or tool help us this aspect. Formal concept analysis (FCA) which mathematical model expresses relationship between various features entities terms pairs called concepts. These concepts are hierarchically related form unique lattice diagrammatical view information available. paper, an approach facilitate temperature-rain data Vellore district use collected for recent 15 presented. For analysis, preprocessed years. similar manner also We illustrate process extracting meaningful from FCA. ID3 algorithm based employed identify more context. used compress obtained FCA thereby reduce information. efficiency proposed validated using few efficient metrics available literature.

Language: Английский

Citations

0
Innovative and polygonal trend analysis of temperature in agro climatic zones of India DOI Creative Commons
RN Singh,

Sonam Sah,

Bappa Das

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 2, 2024

Understanding the long-term trends in temperature is crucial for assessing impacts of climate change on agriculture, human and animal health, natural habitats. An in-depth analysis spatio-temporal monthly maximum minimum temperatures along with Diurnal Temperature Range (DTR) from 1951 to 2022 various Agro-Climatic Zones (ACZs) India was performed using newly introduced Innovative Polygonal Trend Analysis (IPTA) (ITA) traditional Mann-Kendall (MK) or modified (m-MK) tests. The MK/m-MK IPTA assessments detected significant 44.6% 86% time series data, respectively, while ITA method every data. southern, western, central parts are consistently experiencing rising temperatures. western dry region, Central Plateau & Hills, East Coast Plains Gujarat West Southern Western Hills Eastern Himalayan Region predominantly show increasing both all months. Indo-Gangetic (Middle, Trans, Upper Lower) exhibit decreasing during January, February, May, June. DTR showed northern parts, it has southern country. results this study provide valuable information assist precise informed decision-making agricultural resource management socio-economic policies.

Language: Английский

Citations

2