Environmental Drivers of Local Demography and Size Plasticity in Fire Salamanders (<i>Salamandra salamandra</i>) by Ulrich Sinsch

“…Local habitat quality accounted for a significant proportion of demographic variability, mediated by the impact of landscape-induced mortality risk, including roads and agriculture. …”
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Digital sketch maps and eye tracking statistics as instruments to obtain insights into spatial cognition by Merve Keskin, Kristien Ooms, Ahmet Ozgur Dogru, Philippe De Maeyer

“…Based on the evaluation of the drawing order, we observed that experts and males drew roads first whereas; novices and females focused more on hydrographic object. …”
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Micro-Mobility Safety Assessment: Analyzing Factors Influencing the Micro-Mobility Injuries in Michigan by Mining Crash Reports by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

“…The results suggest that roads with speed limits exceeding 40 mph are the most significant factor in determining the severity of micro-mobility injuries. …”
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The influence of the food environment on diet quality: Insights from an extensive household survey in Ethiopia, focusing on women of reproductive age by Andinet Abera Hailu, Stephen Thornhill, Masresha Tessema, Alebel Bayrau Weldesilassie, Edward Lahiff

“…To enhance dietary quality and health outcomes, policymakers should prioritize interventions that expand diverse food markets, strengthen rural infrastructure (roads, transportation), and improve affordability through targeted economic support and price stabilization, ensuring equitable access to nutritious foods. …”
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DETERMINANTS OF YOUTH PARTICIPATION IN FOOD CROPS PRODUCTION IN SONG LOCAL GOVERNMENT AREA OF ADAMAWA STATE, NIGERIA by Panny Mascot YUNUSA, Dengle Yuniyus GIROH

“…Inadequate capital, poor government attention on agricultural sector, poor roads and rural infrastructure and inadequacy of inputs at the right time were the major constraints to youth participation in food crops production. …”
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Modelling key ecological factors influencing the distribution and content of silymarin antioxidant in Silybum marianum L. by Mahboobe Hojati, Ruhollah Naderi, Mohsen Edalat, Hamid Reza Pourghasemi

“…The results of the RF algorithm also revealed that factors such as distance from roads, elevation, and mean annual rainfall had the most significant influence on the habitat suitability of S. marianum. …”
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Rubber and plastic waste-modified asphalt binders and mixtures: Performance against environmentally induced distresses by Ramin Shahbazi, Ali Rajabipour, Ehsan Yaghoubi, Milad Bazli, Luis F. Herrera Diaz, Bogdan Z. Dlugogorski

“…This is critical for utilization of such solutions since many roads can be subject to flood, high UV and extreme temperatures. …”
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Population trends of jaguars in a tropical forest in southern Mexico by Fernando M. Contreras‐Moreno, Lizardo Cruz‐Romo, Daniel Jesús‐Espinosa, Khiavett G. Sánchez‐Pinzón, Víctor Sánchez‐Cordero, Beatriz C. Luna‐Olivera, José J. Flores‐Martínez, Mario C. Lavariega

“…Instead, we observed a relationship between (1) distance to roads and detection, (2) net primary productivity and movement, and (3) distance to borders and population density. …”
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Influence of high Andean grasslands on landslide reduction in Peru by Albert Franco Cerna-Cueva, Katherin Lourdes Uriarte-Barraza, Grecia Isabel Lobatón-Tarazona, Wensty Saenz-Corrales, Casiano Aguirre-Escalante, Peter Coaguila-Rodriguez, Manuel Reategui-Inga

“…Subsequently, we extracted data on precipitation, temperature, slopes, soil types, and geographical variables. This data was used to train a machine learning model. …”
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Modeling Habitat Suitability of Anser Anser in Iran by Fatemeh Biglari Quchan Atiq, Azita Farashi, Mitra Shariati Najafabadi

“…In general, temperature and precipitation variables are the most important, while the variables such as vegetation and distance to roads are less important in the distribution of Anser anser species in Iran. …”
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Measurement of spatial heterogeneity in street restorative perceptions and street refinement design by Yalun Lei, Qingqing Li, Jingwen Tian, Jia Hu, Jixiang Jiang

“…Among the regression models, the MGWR model achieved the highest R 2 value (0.615), indicating that variables like trees, roads, sidewalks, and intercepts are particularly sensitive to spatial heterogeneity. …”
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Spatio-temporal differentiation of landslide after the Ms6.5 Ludian earthquake in Yunnan Province by Rufen ZI, Jiajia LIU, Yuhong WANG, Ping DUAN, Jia LI

“…Landslides triggered by strong earthquakes exhibit slow post-earthquake recovery, high recovery difficulty, and tend to recur and expand, which can have long-term impacts on roads, water bodies, and ecological environments. …”
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Spatial prediction of landslide susceptibility using the data-mining algorithm (case study: Kamyaran county) by Osama Ashraf Mohammed, Hemn Kamal Hamaamin, Jwanro Azad, Sabri Rasooli, Houzhi Li

“…In this research, the variables considered for hazard potential zoning included elevation, slope, aspect, slope curvature, distance from rivers, distance from roads, distance from faults, land use, normalized difference vegetation index, lithology, rainfall, and topographic wetness index. …”
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Ecological and temporal drivers of human-gaur conflict in Tamil Nadu, India by Thekke Thumbath Shameer, Priyambada Routray, A. Udhayan, Rangaswamy Kanchana, Senbagapriya Sekar, Sivaranjani Shankar, Dhayanithi Vasanthakumari, Selvakumar Subramaniyam

“…In contrast, greater distance from roads and built-up areas, as well as higher terrain ruggedness, were associated with reduced conflict. …”
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The Rhinoceros Relocation Mystery: Unraveling the Determinants of Habitat Use and Conservation Threats of Translocated Population in Nepal by Rashmi Bhatt, Khagendra Prasad Joshi, Jhamak Bahadur Karki, Keshav Ayer, Arjun Bhusal, Mahamad Sayab Miya, Ganesh Pant, Roshan Singh Thagunna, Laxmi Raj Joshi, Bijaya Dhami

“…Model-averaged estimates of significant variables (p<0.05) indicate that R. unicornis detection is more likely in grasslands (low canopy cover) and in the proximity of water source and farther from roads. …”
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Increased oxidative burden associated with traffic component of ambient particulate matter at roadside and urban background schools sites in London. by Krystal J Godri, Roy M Harrison, Tim Evans, Timothy Baker, Christina Dunster, Ian S Mudway, Frank J Kelly

“…As the incidence of respiratory and allergic symptoms has been reported to be increased in children attending schools in close proximity to busy roads, it was hypothesised that PM from roadside schools would display enhanced oxidative potential (OP). …”
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Habitat and Anthropogenic Determinants of Chinese Pangolin (Manis pentadactyla) Burrow Occupancy in Udayapur, Eastern Nepal: Implications for Site‐Specific Conservation by Bishal Bhandari, Bijaya Dhami, Nishan KC, Prakash Mahatara, Asmit Neupane, Shushma Gosai, Anush Udaya, Nikita Phuyal, Pramod Ghimire

“…Among the 15 pre‐determined ecological parameters measured during the study, a generalized linear mixed model (GLMM) identified 9 ecological parameters as significant variables influencing the Chinese pangolin burrow occurrence in the study area. …”
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Linear programming for the analysis and virtual recreation of historical events: the allocation of the artillery during the Siege of Bilbao in 1874 by Alvaro Rodriguez-Miranda, Patricia Ferreira-Lopes, Gorka Martín-Etxebarria, Jaione Korro Bañuelos

“…They rely on the location and the relationships among the different elements that took part in them over a recreated space (e.g. relief, roads, rivers); once these elements have been laid out on the virtual space, Geographic Information Systems (GIS) can be used to analyse several factors, such as distances, visibility, connectivity and so on. …”
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Optimization of household medical waste recycling logistics routes: Considering contamination risks. by Jihui Hu, Ying Zhang, Yanqiu Liu, Jiaqi Hou, Aobei Zhang

“…To enhance the realism of the simulation, traffic congestion is integrated into the vehicle speed function, reflecting the urban roads' variability. Subsequently, a Bi-objective mixed-integer programming model is formulated to concurrently minimize total operational costs and environmental pollution risks. …”
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Seasonal and interspecific landscape use of sympatric greater prairie‐chickens and plains sharp‐tailed grouse by Tim L. Hiller, Jamie E. McFadden, Larkin A. Powell, Walter H. Schacht

“…We used presence‐only location data and ecological and anthropogenic variables (e.g., land‐cover types, topography, vegetation productivity, and roads) in a maximum entropy (using MaxEnt software) approach to construct and compare seasonal species distribution models. …”
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