Changes in locus wide repression underlie the evolution of Drosophila abdominal pigmentation. by Iván D Méndez-González, Thomas M Williams, Mark Rebeiz

“…Here, we show that the Drosophila pigmentation gene ebony has mainly evolved through changes in the spatial domains of silencers patterning its abdominal expression. …”
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Robustness assessment of urban cold island network based on green infrastructure–A case study of Bengbu, China by Nana Guo, Xinbin Liang

“…This study considered the typical city of Bengbu and proposes an urban thermal environment research framework based on the robustness of UCINs, and land use and land surface temperature (LST) data, We extracted the core patches of GI by morphological spatial pattern analysis and screened UCI attributes to determine the UCIN source, constructed the resistance surface of thermal environment with the help of LST characteristics of land use, extracted UCIN corridors by the minimum cumulative resistance, and constructed the UCIN based on GI (GI-UCIN) in the mode of “source-corridor”. …”
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Research on Strata Movement Control in Deep Composite Lithologic Gangue Backfill Mining of Super-Thick and Weak Cementation Overburden Based on PFC–FLAC Coupling Simulation by Yonglei Li, Jiangning Gan, Guojian Zhang, Zhiyong Liu, Guangli Guo, Baode Guo, Shuo Sun

“…In contrast, the secondary compression deformation of the composite lithologic gangue has a great influence on the mining behavior of the upper main key strata and the lower sub-key strata, and the bearing range of the composite carrier is reduced by 4.6% to 5% at most, and the synergistic interaction between the composite bearing coal pillar and backfill body evolves in a pattern of initial enhancement followed by gradual weakening. …”
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Estimation of Cloud Water Resources in China by Jie Yu, Yuquan Zhou, Miao Cai, Jianjun Ou

“…Over the next three decades, cloud water resources in China are projected to exhibit an overall increasing trend, with the most pronounced enhancement occurring under the high-emission scenario (Shared Socioeconomic Pathway 5–8.5). The spatial distribution pattern of cloud water resources is expected to remain largely consistent with that of the past two decades, while inter-model differences are primarily observed in southeastern China and the southern Tibetan Plateau. …”
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Mapping the Risk of Snakebite in Sri Lanka - A National Survey with Geospatial Analysis. by Dileepa Senajith Ediriweera, Anuradhani Kasturiratne, Arunasalam Pathmeswaran, Nipul Kithsiri Gunawardena, Buddhika Asiri Wijayawickrama, Shaluka Francis Jayamanne, Geoffrey Kennedy Isbister, Andrew Dawson, Emanuele Giorgi, Peter John Diggle, David Griffith Lalloo, Hithanadura Janaka de Silva

“…We undertook a community-based national survey and model based geostatistics to determine incidence, envenoming, mortality and geographical pattern of snakebite in Sri Lanka.<h4>Methodology/principal findings</h4>The survey was designed to sample a population distributed equally among the nine provinces of the country. …”
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Research progress and prospects on the impact of transportation on regional industrial dynamics by JIN Wenwan, ZHU Shengjun, LIN Xiongbin, YANG Bofei

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Coupling coordination analysis of agricultural carbon reduction, pollution abatement, green expansion, and growth in Jiangsu Province, China by Zhixian Sun, Yixuan Lu, Xinyue Zheng, Zhiheng Huang, Guanxin Yao

“…The results revealed that (1) the CCD levels of all four ACPGG subsystems generally increased, but notable interregional imbalance occurred. (2) The provincial average CCD greatly increased, with an 11.37 % increase in 2022 compared with that in 2006. The CCD spatial pattern revealed higher values in the north and lower values in the south, with the level in less than 35 % of counties surpassing intermediate coordination. (3) Interregional differences constituted the main source of overall CCD differences. …”
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Understanding the trade-off and synergy effects of landscape multifunctional and its driving mechanism in rapidly urbanizing areas by Hang Zhang, Shaohua Wu, Sha Chen, Chong Wu, Fei Xu

“…The distribution of HM, WC and LA is relatively consistent, showing a spatial pattern of high hills in the northwest and southwest mountains and low in the northeast plain and coastal areas. (2) There is a synergistic relationship between HM, WC and LA. …”
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Addressing Conservation Needs: Genetic Diversity and Population Ecology of the Endemic Tree Spondias tuberosa Arruda by Raiane Pereira de Sales, Luan Cavalcanti da Silva, Abidã Gênesis da Silva Neves, Cristiane Gouvêa Fajardo, Luciana Gomes Pinheiro, Fábio de Almeida Vieira

“…The present study aimed to assess the spatial pattern, allometric variations, fruit measurements, and genetic diversity of trees within a remaining forest of the Caatinga biome, with a focus on intrapopulation analysis. …”
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Sensitivity Analysis and Performance Evaluation of the WRF Model in Forecasting an Extreme Rainfall Event in Itajubá, Southeast Brazil by Denis William Garcia, Michelle Simões Reboita, Vanessa Silveira Barreto Carvalho

“…We primarily focused on the representation of the spatial precipitation pattern, statistical metrics (bias, Pearson correlation, and Kling–Gupta Efficiency), and atmospheric instability indices (CAPE, K, and TT). …”
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Lake Evaporation and Its Effects on Basin Evapotranspiration and Lake Water Storage on the Inner Tibetan Plateau by Liuming Wang, Junxiao Wang, Lachun Wang, Liping Zhu, Xingong Li

“…We found that EW amount has a high effect (17%) on regional ETB amount compared to the average lake area ratio (α) (∼5%), and the effect has increased significantly (2%/10 a). The spatial pattern of the effect is mainly controlled by α, and the increasing trend of α (0.6%/10 a) also dominated the increasing trend in regional ETB rate (0.30 mm/a) though with large spatial heterogeneity. …”
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Nonlinear Interactions and Dynamic Analysis of Ecosystem Resilience and Human Activities in China’s Potential Urban Agglomerations by Xinyu Wang, Shidong Ge, Yaqiong Xu, László Kollányi, Tian Bai

“…Results show the following: (1) ER exhibited a “shock-recovery” pattern with a net decline of 3.202%, while HAI followed a nonlinear “rise-fall” trend with a net decrease of 0.800%. (2) Spatial mismatches between HAI and ER intensified over time. (3) The negative correlation in high-HAI regions remained stable, whereas neighboring low-HAI areas deteriorated, indicating a spillover effect. (4) OPGD identified the change in HAI (Sen’s slope) as the primary driver of ER change (q = 0.512), with the strongest interaction observed between HAI Sen’s slope and precipitation (q = 0.802). (5) Compared to HAI intensity (mean), its temporal variation had a more spatially stable influence on ER. …”
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Spatio-temporal variations in past extreme tree-growth reduction events and their resilience components over northern high-latitude regions by Shunsuke Tei

“…As almost no significant temporal changes were observed with respect to regional differences in the resilience components over the four analysis periods, that is, (i) pre-1700, (ii) 1701–1800, (iii) 1801–1900, and (iv) post-1900, the resilience components estimated in this study could be considered as representative values for each region, and the pattern of regional difference remained relatively consistent from the past to the present and likely into the future. …”
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Reconstruction of Cropland for the Rikaze Area of China Since the Tubo Dynasty (AD 655) by Hongxia Pan, Qiong Chen, Zhilei Wu, Zemin Zhi, Wenguo Fang, Jiaqian Sun, Yanan Shi

“…Counties and districts with better agricultural conditions, such as Jiangzi, Bailang, and Renbu, are the main concentration areas of cropland in the Rikaze area. The overall spatial distribution pattern of cropland shows fragmented distribution along rivers, highlighting the characteristics of valley cropland. …”
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The impact of building uses on microplastic pollution and its implications for environmental education by Yunlu Xiang, Sheng Ye, Hao Fan, Yamei Wen

“…Surface water and sediment microplastic samples were collected and analyzed alongside building use data to explore the relationship between microplastic abundance and building use at different spatial scales. The results showed that: (1) The abundance of microplastics in surface water and sediment in the Chongqing section of the Yangtze River exhibited an inverse distribution pattern. …”
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Developing the optimal model for correct use of environmental resources in chelgerd watershed by Moslem Heydari, Afshin Honarbakhsh, Mahdi Pajoohesh, Maryam Zangiabadi

“…Introduction: Over the past few decades, several models such as the LP model have been used for watershed management and planning as well as determining optimal cultivation pattern for agricultural planning. Management and planning methods are the most important applied tools of management science for optimal allocating of environmental resources, in order to gain the most profits in the different fields including natural resources, water resources and etc. …”
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Quantifying the Cumulative Effects of Large-Scale Reclamation on Coastal Wetland Degradation by Linlin Cui, Guosheng Li, Miao Zhao, Zhihui Zhang

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The commercial harvest of ice-associated seals in the Sea of Okhotsk, 1972-1994. by Irina S Trukhanova, Aleksey I Grachev, Aleksandr G Somov, Vladimir N Burkanov, Kristin L Laidre, Peter L Boveng

“…Catch per unit effort (number of seals/skiff*day) for ringed, ribbon, and spotted seals had a similar seasonal pattern with a distinct spike in catches for spotted seals in the first week of May, for ribbon seals in the last week of May, and for ringed seals in the second week of June. …”
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Ecological sensitivity analysis of the Chengdu–Chongqing urban agglomeration toward the Yangtze river economic belt in China by Meicen Chen, Ling Wang

“…The results of the study show that under the optimistic scenario, the ecological sensitivity of the CCUA presents a spatial pattern of “high in the urban core and low in the periphery, high in the mountainous areas and low in the plains” and exhibits significant geographic-economic coupling characteristics, and the areas of no sensitivity, low sensitivity, moderate sensitivity, high sensitivity, and extreme sensitivity account for 5.30%, 35%, 42.37%, 16.65%, and 0.56% of the total area, respectively. …”
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Synergistic effects of pollution reduction and carbon mitigation from socioeconomic factors, land use and urban innovation: a case study of Wuhan metropolitan area by Tao Chen, An Chen, Lanjun Liu, Chenxi Shi, Junzhe Zhang

“…The coupling coordination degree between air pollution and carbon emissions shows an initial increase followed by a decrease over time and a spatial pattern of “local clustering of areas with medium–high-level coupling coordination”. 2) Twelve factors significantly impact the synergistic effects of air pollution and carbon emissions at the county level in the Wuhan metropolitan area: number of inversion days, precipitation, temperature, vegetation coverage, number of green patents, total population, regional GDP, per capita regional GDP, proportion of secondary industry, total nighttime light, energy consumption efficiency and built-up area. 3) The impact intensity of these factors on the synergistic effects of air pollution and carbon emissions varies not only over time but also across different regions within the same year. …”
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