Climate Change Hotspots Identification in China through the CMIP5 Global Climate Model Ensemble by Huanghe Gu, Zhongbo Yu, Jigan Wang, Qin Ju, Chuanguo Yang, Chuanhao Fan

“…Both high (RCP8.5) and low (RCP4.5) greenhouse gas emission trajectories are tested, and both the mean and extreme seasonal temperature and precipitation are considered in identifying regional climate change hotspots. …”
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Examining air pollution dynamics in Ploiesti: a focus on vehicular emissions by Georgeta-Olguta Gavrila, Oana Cristina Parvulescu, Cristian Constantin, Valeriu Danciulescu, Simona Mariana Calinescu, Gheorghita Tanase, Valentin Stancu

“…The study analyses the seasonal variations in 2023 of air pollutants such as nitrogen dioxide (NO2), sulphur dioxide (SO2) and particulate matter (PM10), the impact of road traffic on air quality, as well as the monitoring measures according to the in force environmental legislation. …”
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Physical and Tensile Properties of Handmade Sida rhombifolia Paper by P. W. Huisken Mejouyo, E. Dydimus Nkemaja, O. R. Beching, N. R. Sikame Tagne, T. Kana’a, E. Njeugna

“…Sida rhombifolia plant is a seasonal plant that grows in the equatorial and tropical climates. …”
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Weak coupling of observed surface PM2.5 in Delhi-NCR with rice crop residue burning in Punjab and Haryana by Poonam Mangaraj, Yutaka Matsumi, Tomoki Nakayama, Akash Biswal, Kazuyo Yamaji, Hikaru Araki, Natsuko Yasutomi, Masayuki Takigawa, Prabir K. Patra, Sachiko Hayashida, Akanksha Sharma, A. P. Dimri, Surendra K. Dhaka, Manpreet S. Bhatti, Mizuo Kajino, Sahil Mor, Ravindra Khaiwal, Sanjeev Bhardwaj, Vimal J. Vazhathara, Ravi K. Kunchala, Tuhin K. Mandal, Prakhar Misra, Tanbir Singh, Kamal Vatta, Suman Mor

“…The Kharif crop residue burning (CRB) is often blamed for degradation of Delhi-NCR’s seasonal air quality. However, the concentration of fine particulate matter (PM2.5) remained stable in Delhi, while the fire detection counts (FDCs) from satellites over Punjab and Haryana declined by 50% or more during 2015–2023. …”
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Using Inverse Distance Weighting to Determine Spatial Distributions of Airborne Chemical Elements. Case Study: Douala, Cameroon by Joseph Magloire Fossokeng Mouafo, Claudiu Tănăselia, André Nana Yakam, Jules Richard Priso, Mohammed Ketata, Alexandru-Ionut Petrisor

“…This study uses inverse distance weighting in the analysis of chemical elements from the barks of 254 trees to map heavy metals in the air of the city of Douala, Cameroon during the dry seasons (December to February, when monthly rainfall is low) of 2022. …”
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Study of Atmospheric Pollutants Concentration Correlation with Meteorological Quantities in Bandar Abbas by Marziyeh Sisipoor, Mehdi Rahnama, Saviz Sehat Kashani, Noshin Khodam, faezeh noori, Sajad Qahramani

“…Behavioral studies were conducted to investigate the correlation between pollutants and meteorological quantities seasonally, monthly, and daily. Also, by calculating the air quality index, the daily status of the air quality and pollutant index was determined. …”
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Effects of Climate Variability on Evaporation in Dongping Lake, China, during 2003–2010 by Yuan Rong, Hongbo Su, Renhua Zhang, Zheng Duan

“…The major climatic factors accounting for this increase are the rising net radiation and the rising air temperature; (2) the total annual evaporation in a particular hour (13:10–14:10) in Dongping Lake increased at 4.55 mm/a during 2003–2010—the major climate factors that accounted for this increase are rising net radiation, followed by air temperature, wind velocity, and air humidity; (3) against the background of global warming, the climate of Dongping Lake tended to be dry during 2003–2010; the largest contribution to this comes from air temperature, followed by wind velocity and relative humidity; and (4) the monthly evaporation in Dongping Lake has seasonal variability.…”
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Spatiotemporal characteristics of future precipitation variability in the Tianshan Mountain region of China by Xianglin Lyu, Junkai Du, Yaqin Qiu, Yangwen Jia, Chunfeng Hao, Hao Dong

“…In the far future, the SSP585 scenario showed an increase in interannual and a decrease in intra-annual variability, whereas the SSP245 scenario showed an opposite trend. Seasonal perspectives showed that summer interannual variability decreased in the future, with increases in spring and fall. …”
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Spatiotemporal evolution of multiple time scale precipitation in Yellow River Basin based on Köppen-Geiger Trend Indicator System by Hao Ke, Wenzhuo Wang, Zengchuan Dong, Xinhua Zhu, Zhuozheng Li, Chao Lü, Dawei Jin, Weilin Liu

“…Monthly precipitation shows an increasing trend in winter (December–February) across most climate zones, indicating relatively stable changes in winter precipitation, while other seasons show changes between increasing and decreasing trends. …”
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Colonial breeding impacts potentially fitness-relevant cognitive processes in barn swallows by Angela Medina-García, Ellen Scherner, Molly T. McDermott, Mark E. Hauber, Rebecca J. Safran

“…We also evaluated the adaptive value of both processes by measuring seasonal reproductive success. Swallows breeding in larger colonies were more selective in their attention to social information. …”
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Wheat intercropping with canola promotes biological control of aphids by enhancing enemy diversity by Sohaib Saleem, Muhammad Omer Farooq, Muhammad Razaq, Séverin Hatt, Farhan Mahmood Shah

“…In Pakistan, which is comprised in area origin of wheat, we evaluated the biological control potential of canola-wheat strip cropping and alternate row intercropping compared to wheat sole cropping against wheat aphids in crop seasons of 2021 and 2023 in organic and conventional fields. …”
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Social innovations to increase health coverage: evidence from a crowdsourcing contest in Ghana by Joseph D Tucker, Phyllis Dako-Gyeke, Phyllis Awor, Emmanuel Asampong, Kwabena Opoku-Mensah, Philip Teg-Nefaah Tabong

“…These submissions can be put into three main themes: technology and strengthening (eg, mHealth for cervical cancer screening, video directly observed therapy), inclusiveness and reaching the marginalised (people with disability and infertility) and data utilisation for project improvement (seasonal calendar to reduce morbidity and mortality of children under 5 for malaria, diarrhoea and pneumonia).Conclusion In conclusion, this study shows that solutions to local problems exist. …”
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The problems of genetic support of dividing the black kite (Milvus migrans) into subspecies by N. G. Andreyenkova, I. J. Starikov, M. Wink, I. V. Karyakin, O. V. Andreyenkov, I. F. Zhimulev

“…Palearctic kites migrate to Africa, India and China in winter, but kites of Africa and Australia are partly sedentary and partly seasonal migrants. The wide range and high mobility are the reasons of a complex population structure of the black kite. …”
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Monitoring Space Weather: Using Automated, Accurate Neural Network Based Whistler Segmentation for Whistler Inversion by Bálint Ármin Pataki, János Lichtenberger, Mark Clilverd, Gergely Máthé, Péter Steinbach, Szilárd Pásztor, Lilla Murár‐Juhász, Dávid Koronczay, Orsolya Ferencz, István Csabai

“…By segmenting more than 1 million additional real whistler traces from Rothera station Antarctica, logged over 9 years, seasonal changes in the average electron density were found. …”
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Respectful Pruning Improves Grapevine Development: A Case Study in Young Vineyards by Mónica Galar-Martínez, Nazareth Torres, Bárbara Sebastián, Julián Palacios, Ignacio Arzoz, Nahiara Juanena, Ana Villa-Llop, Maite Loidi, Coralie Dewasme, Jean Phillippe Roby, Luis Gonzaga Santesteban

“…“Tempranillo” vineyard for four consecutive pruning seasons: (i) respectful (RESP), where pruning cuts were always made leaving protection wood between the cut and vine perennial structures, and the preferential sap flow path was chosen; (ii) aggressive (AGGR), where no protection wood was left and, when possible, the nonpreferential sap flow path was followed; and (iii) winegrape grower (WIN), where the common practices used in the area were followed, which corresponds to an intermediate style between RESP and AGGR. …”
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Community structure of heritable viruses in a Drosophila-parasitoids complex by Varaldi, Julien, Lepetit, David, Burlet, Nelly, Faber, Camille, Baretje, Bérénice, Allemand, Roland

“…Drosophilidae and their larval and pupal parasitoids were sampled in two locations, two years and two seasons. After two lab generations, putative DNA and RNA viruses were purified and sequenced. …”
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Validation of the α-μ Model of the Power Spectral Density of GPS Ionospheric Amplitude Scintillation by Kelias Oliveira, Alison de Oliveira Moraes, Emanoel Costa, Marcio Tadeu de Assis Honorato Muella, Eurico Rodrigues de Paula, Waldecir Perrella

“…Among several applications, it has been used in the characterization of low-latitude amplitude scintillation, which frequently occurs during the nighttime of particular seasons of high solar flux years, affecting radio signals that propagate through the ionosphere. …”
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Existence of Pentatrichomonas hominis in Tibetan Antelope (Pantholops hodgsonii) by Shuo Liu, Shuo Liu, Jing-Hao Li, Si-Yuan Qin, Jing Jiang, Zhen-Jun Wang, Tao Ma, Jun-Hui Zhu, Hong-Li Geng, Wei-Lan Yan, Nian-Yu Xue, Yan Tang, He-Ting Sun

“…No P. hominis was detected in samples from Shuanghu, Ruoqiang, Qiemo, and Qumarlêb Counties. Seasonally, the highest prevalence was recorded in autumn (1.42%, 6/423). …”
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Rapid Flood Monitoring Using Sentinel-1 and Landsat-8 Images (Case study: Kashkan River, Poldakhter City) by Peyman Peymankhah, Sara Attarchi, Meysam Moharrami

“…Additionally, historical Landsat-based surface water class probabilities are used to distinguish unexpected floods from permanent or seasonal surface water. Based on the results of this research, Sentinel-1 images have an acceptable performance for flooded areas detection in Sentinel-1 images. …”
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Temporal and Spatial Variation of Potential Evaporation and Its Influencing Factors in Pearl River Basin from 1980 to 2019 by ZUO Daxing, ZANG Chuanfu, WANG Lina

“…Evaporation is an important link in the water cycle,and in-depth studies on the influence of various meteorological factors on evaporation changes are of great significance for climate change,ecological restoration,and utilization of water resources.In this study,the Penman-Monteith model modified by the Food and Agriculture Organization of the United Nations (FAO) is used to calculate the potential evaporation (ET₀) in the Pearl River Basin from 1980 to 2019.The Mann-Kendall non-parametric test method and inverse distance weighting method are used to analyze the spatial and temporal distribution characteristics of the ET₀,and the principal component analysis method is used to analyze the influencing factors.The results show that:① The average ET₀ of the Pearl River Basin is 1 145.8 mm,and the growth rate is 1.37mm/a,which shows an increasing trend.In terms of four seasons,the growth rate increases in spring (0.56 mm/a),autumn (0.4 mm/a),and winter (0.44 mm/a) but decreases in summer (-0.03 mm/a).② In terms of spatial distribution,the annual average ET₀ of the Pearl River Basin is high in the east,west,and south but low in the middle andnorth.The distribution of ET₀in summer,autumn,and winter is similar.However,the distribution of ET₀ in spring is opposite to that in summer,autumn,and winter.③ Temperature,average water vapor pressure,and altitude are the leading factors of ET₀ changes.Factors such as temperature,average water vapor pressure,sunshine duration,and wind speed make positive contributions to ET₀,while altitude,latitude,and relative humidity make negative contributions to ET₀ changes.…”
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