Spatiotemporal dynamics of soil organic carbon in desert region and its response to climate change: A case study of Heihe river by Yuqing Chen, Haiyang Xi, Wenju Cheng

“…The results indicate that the key indicators of different soil layers are not consistent for SOC density mapping in arid regions. Latitude (LAT), Elevation (ELE) and Normalized difference salinity index (NDSI) are particularly important in shallow soil layers (0–20 and 20–40 cm). …”
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Seasonal Variation in Vitamin D in Association with Age, Inflammatory Cytokines, Anthropometric Parameters, and Lifestyle Factors in Older Adults by Leticia Elizondo-Montemayor, Elena C. Castillo, Carlos Rodríguez-López, José R. Villarreal-Calderón, Merit Gómez-Carmona, Sofia Tenorio-Martínez, Bianca Nieblas, Gerardo García-Rivas

“…Vitamin D deficiency/insufficiency was found in 91.3% of the subjects despite living in appropriate latitude (25°40′0″N). 25(OH)D levels remained below <30 ng/mL through all seasons. …”
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Identifying Optimal Variables to Predict Soil Organic Carbon in Sandy, Saline, and Black Soil Regions: Remote Sensing, Terrain, or Climate Factors? by Liping Wang, Huanjun Liu, Xiang Wang, Xiaofeng Xu, Liyuan He, Chong Luo, Yong Li, Xinle Zhang, Deqiang Zang, Shufeng Zheng, Xiaodan Mei

“…The SOC of HL in black soil regions was consistent with the climate change trend because of the latitude difference. This study provides valuable information for constructing a more precise soil prediction strategy for cultivated land in sandy, saline, and black soil regions.…”
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On the Observational Solid Angle in Estimating the Moon-based Disk-integrated Earth Outgoing Longwave Radiation by Hanlin Ye, Huadong Guo, Dong Liang, Zhen Xu, Yin Jin, Guang Liu

“…The observational solid angle is parameterized into two components: one is attributable to a variable Earth radius and another is related to the nadir point’s latitude and the Earth–Moon distance. (3) Guiding parameter selection for observational solid angle estimation. …”
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Global meta‐analysis reveals the drivers of gut microbiome variation across vertebrates by Yong Xie, Songsong Xu, Yufei Xi, Zixin Li, Erwei Zuo, Kai Xing, Lijing Bai, Kui Li

“…Interestingly, we found that the abundance of microbiota belonging to Bacteroidetes increased gradually while the members from Proteobacteria showed a decreasing trend from high‐ to low‐latitude zones, potentially contributing to vertebrate adaptation to local climate condition. …”
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Understanding the local-level variations in seasonality of human respiratory syncytial virus infection: a systematic analysis by Sheng Ye, Shuyu Deng, Yumeng Miao, David Torres-Fernandez, Quique Bassat, Xin Wang, You Li

“…Multiple factors, such as temperature, relative humidity, wind speed, annual household income, population size, latitude, and longitude, could jointly explain 66% to 84% and 35% to 49% of the variations in season onset and offset, respectively, although their individual effects varied by individual regions. …”
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Surrogate-based model parameter optimization in simulations of the West African monsoon by M. Fischer, P. Knippertz, C. Proppe

“…The problem is approached in two distinct ways: (1) optimization of 15 designated QoIs, such as the latitude and magnitude of the African rain belt or African easterly jet, using existing surrogate models and (2) optimization of twelve 2D meteorological output fields, such as precipitation, cloud cover, and pressure, using new surrogate models that employ principal component analysis. …”
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Novel adaptive immune systems in pristine Antarctic soils by Marc W. Van Goethem, Oliver K. I. Bezuidt, Rian Pierneef, Surendra Vikram, David W. Hopkins, Thomas Aspray, Grant Hall, Stephan Woodborne, Ian D. Hogg, Trent R. Northen, Weidong Kong, Daniele Daffonchio, Don A. Cowan, Yves Van de Peer, Manuel Delgado-Baquerizo, Thulani P. Makhalanyane

“…Using genome-resolved metagenomics, we test the hypothesis that Antarctic poly-extreme high-latitude microbiomes harbour diverse adaptive immune systems. …”
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Community structure and diversity of myxobacteria in soils from Inner Mongolia, China by Zhihua Wu, Zhihua Wu, Songyuan Li, Xuehan Wang, Xuehan Wang, Huirong Liu

“…The species with significant differences in relative abundance among the five groups of samples were Labilitrix, Archangium, Sandaracinus, Minicystis, Polyangium, and Myxococcus. In addition, the latitude and longitude of the sampling point and the soil pH, water content, available phosphorus content and organic matter content had a greater impact on the myxobacteria community structure of samples, while the altitude of the soil sample and the contents of available potassium and alkaline nitrogen had a relatively small impact. …”
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Evolutionary determinants of reproductive seasonality: A theoretical approach by Burtschell, Lugdiwine, Dezeure, Jules, Huchard, Elise, Godelle, Bernard

“…Our modelling approach successfully disentangled the effects of environmental seasonality, productivity and unpredictability on the intensity of reproductive seasonality, which likely all contribute to generate the well-known association between latitude and reproductive seasonality. Our results further highlight the critical importance of life history pace on the evolution of reproductive seasonality. …”
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Biogeochemical evidence raises questions on the longevity of warming‐induced growth enhancements in wet boreal forests by Susan E. Ziegler, Sharon A. Billings, Frances A. Podrebarac, Kate A. Edwards, Andrea Skinner, Kate M. Buckeridge, Trevor C. VandenBoer

“…Second, organic layer C:P and P stocks were maintained across latitude despite increases in litterfall P inputs in the warmest forests suggesting increased cycling and retention of P by trees. …”
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The co-occurrence patterns and assembly mechanisms of microeukaryotic communities in geothermal ecosystems of the Qinghai-Tibet Plateau by Bingjie Yan, Bingjie Yan, Xiaodong Li, Xiaodong Li, Nanqian Qiao, Nanqian Qiao, Zhen Da, Zhen Da, Jiajie Xu, Jiajie Xu, Chuanqi Jiang, Sang Ba, Sang Ba

“…The assembly mechanisms of microeukaryotic communities in both sediment and water were primarily driven by undominant processes within stochastic processes. Latitude and longitude were the key factors influencing changes in sediment community composition, while water temperature and electrical conductivity were the major environmental factors affecting water community composition. …”
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Estimates of critical loads and exceedances of acidity and nutrient nitrogen for mineral soils in Canada for 2014–2016 average annual sulfur and nitrogen atmospheric deposition by H. Cathcart, J. Aherne, M. D. Moran, M. D. Moran, V. Savic-Jovcic, P. A. Makar, A. Cole

“…., below 500 eq. ha<span class="inline-formula">⁻¹</span> yr<span class="inline-formula">⁻¹</span>) for much of the country, particularly above 60° N latitude, where base cation weathering rates are low due to cold annual average temperature. …”
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Epidemiologic Data of Vitamin D Deficiency and Its Implication in Cardio-Cerebrovascular Risk in a Southern Italian Population by Rocco Capuano, Federica Marchese, Raffaella Sica, Eduardo Capuano, Marzia Manilia, Anna Grazia Iannone, Alessandro D’Ambrosio, Alvino Bisecco, Gioacchino Tedeschi, Antonio Gallo, Vincenzo Capuano

“…However, the highest prevalence rates of 25(OH)D deficiency have been attributed to regions with higher latitude. A close association between 25(OH)D and cardio-cerebrovascular (CCV) risk factors and major health problems has been identified. …”
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Temperature, violent crime, climate change, and vulnerability factors in 44 United States cities by Seulkee Heo, Hayon Michelle Choi, Jesse D. Berman, Michelle L. Bell

“…Risk during hot days versus moderate temperature days was significantly lower for cities with lower latitude, higher median temperature, higher urban greenspace, and higher percentage of occupied housing units with air conditioners. …”
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Enhancing Soil Moisture Prediction in Drought-Prone Agricultural Regions Using Remote Sensing and Machine Learning Approaches by Xizhuoma Zha, Shaofeng Jia, Yan Han, Wenbin Zhu, Aifeng Lv

“…Analysis of spatial covariates showed that atmospheric forcing factors, particularly temperature and evaporation, had the most substantial impact on model performance, followed by static factors such as latitude, longitude, and soil texture. With a continuous time series of near-surface soil moisture, the Richards equation method accurately predicted multi-layer soil moisture and demonstrated its applicability for large-scale spatial use. …”
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Bacterial communities as bioindicators of climate change in freshwater ecosystems: Tank bromeliads as model systems by Daniel Di Pace Soares Penna, Gustavo Quevedo Romero, Mark P. Nessel, Angélica L. González, Valéria Maia Oliveira

“…Alpha diversity metrics were positively correlated with latitude and negatively with atmospheric temperature, while dbRDA and Mantel tests identified atmospheric temperature and pH as key factors influencing bacterial communities. …”
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Fine-scale satellite-based monitoring of temperature and vegetation cover in microclimates, distribution ranges, and landscape connectivity for Neurergus kaiseri (Kaiser’s mountain... by Peyman Karami, Sajad Tavakoli, Mina Esmaeili

“…Microclimatic heterogeneity decreased with latitude, with sub-basins 2 and 3 having the most favorable conditions relative to the surrounding environment. …”
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Long-term changes in the thermodynamic structure of the lowermost stratosphere inferred from reanalysis data by F. Weyland, P. Hoor, D. Kunkel, T. Birner, T. Birner, F. Plöger, F. Plöger, K. Turhal, K. Turhal

“…Additionally, our results indicate that the tropical tropopause in the NH has expanded poleward by 0.5<span class="inline-formula">°</span> latitude between 1998–2019. In the Southern Hemisphere (SH) extratropics, the lapse rate tropopause shows a downward tendency of up to <span class="inline-formula">+</span>2 <span class="inline-formula">hPa</span> per decade after 1998, consistent across all reanalyses except JRA-3Q. …”
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Improving machine learning predictions to estimate fishing effort using vessel's tracking data by J. Samarão, A. Moreno, M.B. Gaspar, M.M. Rufino

“…Random Forest and XGBoost gave the best performances among the models compared (18 % change), using the variables Latitude, Longitude, Speed, Time, and Month (accuracies near 99 %)(61 % change). …”
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