An ecological and social approach to the distribution of vector and nuisance mosquito species across residential land use types [0.03%]
Megan Schierer,Sandra De Urioste-Stone,Allison M Gardner
Megan Schierer
Mosquito abundance and distribution are related to environmental variables like rainfall and land cover which shape available aquatic habitat for oviposition and juvenile development. Many mosquito species rely on natural water sources for oviposition and juvenile development.
Revealing two decades of chlorophyll-a dynamics in arid oligotrophic lakes of Xinjiang, China using a deep recurrent approach [0.03%]
Zhenyu Tan,Stefan G H Simis,Chen Yang et al.
Zhenyu Tan et al.
Further analysis of environmental variables revealed that Chl-a variability in lakes influenced by anthropogenic activities was primarily driven by solar radiation, vegetation cover, and runoff.
Abderrahim Ouarghidi,Imane Abbad,Tiza Mfuni
Abderrahim Ouarghidi
We ran linear regression models to determine if any of these environmental variables were associated with the content of key chemicals known to mark quality and value in T. saturejoides....Other environmental variables were not statistically significantly related to the content of any of the chemicals.
Based on the Spatial Multi-Scale Habitat Model, the Response of Habitat Suitability of Purpleback Flying Squid (Sthenoteuthis oualaniensis) to Sea Surface Temperature Variations in the Nansha Offshore Area, South China Sea [0.03%]
基于空间多尺度生境模型的南海南沙海域拟柔鱼栖地适宜性对海表温度变化的响应
Xue Feng,Xiaofan Hong,Zuozhi Chen et al.
Xue Feng et al.
Utilizing fishery data from 2013 to 2017, environmental variables including SST, sea surface temperature anomaly (SSTA), and chlorophyll-a concentration (CHL) were analyzed.
Spatio-Temporal Projections of the Distribution of the Canopy-Forming Algae Sargassum in the Western North Pacific Under Climate Change Scenarios Using the MAXENT Model [0.03%]
基于最大熵模型的气候变化情景下北太平洋西部分枝藻分布格局的时空投影
Sun Kyeong Choi,Young Baek Son,Hyun Woo Jeong et al.
Sun Kyeong Choi et al.
The environmental variables predicted from the sixth phase of the coupled model intercomparison project (CMIP6) had different impacts depending on the species, with current velocity and water temperature showing high contributions in all four species.
Predicting Naegleria fowleri freshwater habitat suitability in the United States for the present-day and future using ecological niche modeling [0.03%]
基于生态位模型预测美国当前及未来时期福氏耐格里阿米巴原虫的淡水电位分布区域
Leigha M Stahl,Anthony A Snead,Julie B Olson
Leigha M Stahl
Future research should experimentally test associations between environmental variables and the presence, survival, and proliferation of N. fowleri to further refine ecological niche models for these pathogenic amoebae.
Distribution Pattern and Change Prediction of Luprops orientalis (Coleoptera: Tenebrionidae) Suitable Area in East Asia Under Climate Change [0.03%]
气候变化下东亚小泡黑步甲（Coleoptera:Tenebrionidae）适生区分布及变化预测
Jieqiong Wang,Shuangyi Wang,Yunchun Li et al.
Jieqiong Wang et al.
Utilizing 295 filtered distribution points and 10 environmental variables (9 climate variables and 1 land cover type), this study uses the MaxEnt model to predict the potential distribution of L. orientalis under near-current and future environmental change scenarios....The results indicated that precipitation of the warmest quarter (bio18), temperature seasonality (bio04), and precipitation of the wettest month (bio13) were the most significant environmental variables affecting the distribution of suitable habitats for L. orientalis, while the contribution of average
Genomic Signals of Local Adaptation Associated With Environmental Variables in Eleginops maclovinus From Northern Chilean Patagonia [0.03%]
智利潘帕斯地区南方海鲈与环境变量相关的本地适应性进化信号研究
C Eliza Claure,Garrett J McKinney,José Dellis Rocha et al.
C Eliza Claure et al.
We identified 392 adaptive loci using PGD and 2164 associated with at least one of the six environmental variables analyzed using GEA. A total of 131 loci were shared between the PGD and GEA approaches, of which 37 were associated with genes involved in growth, metabolism, and homeostasis....Then, we evaluated the variation of adaptive loci with environmental variables using polygenic scores and found significant correlations with temperature, salinity, and oxygen, indicating polygenic selection along environmental gradients.
CODARFE: Unlocking the prediction of continuous environmental variables based on microbiome [0.03%]
基于微生物组的连续环境变量预测方法研究
Murilo Caminotto Barbosa,João Fernando Marques da Silva,Leonardo Cardoso Alves et al.
Murilo Caminotto Barbosa et al.
Background: Despite the surge in microbiome data acquisition, there is a limited availability of tools capable of effectively analyzing it and identifying correlations between taxonomic compositions and continuous environ...
Comparative study of nosZ I and nosZ II clade isolates: insights into their responses to environmental variables and soil fertilization types [0.03%]
nosZ I和nosZ II谱系菌株的比较研究：环境因子及土壤施肥类型对其影响的见解
Haoran Li,Qishi Luo,Lichao Sun et al.
Haoran Li et al.
Introduction: Soil nitrous oxide (N2O) emissions are a major contributor to global warming and climate change. Microbial N2O reduction via the nosZ gene-classified into clade I and clade II-is the only known biological si...
耗时 0.14916 秒，为您在
48285708
条记录里面共找到 7183 篇文章 [XML]