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  1. 6261

    Optimization Analysis of Kitchen Cooking Environment for Air Conditioning Range Hood Based on Thermal Comfort and PM<sub>10</sub> Concentration by Shunyu Zhang, Hai Huang, Feng Ye, Fayin Wang, Liangguo Cheng, Yongqiang Tan, Zhihang Shen, Zhenlei Chen

    Published 2025-05-01
    “…Firstly, the reliability of the simulation model was verified through a comparative analysis of experimental tests and simulation data. …”
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  2. 6262

    Oceanographic and trophodynamic underpinnings of anchovy success in the northern California Current by Kelsey Swieca, Kelsey Swieca, Su Sponaugle, Su Sponaugle, Moritz S. Schmid, Jami Ivory, Robert K. Cowen

    Published 2025-05-01
    “…Instead, consideration of larval fish trophodynamics together with local oceanography is likely necessary to mechanistically relate survival and recruitment to the physical environment.MethodsWe examined otolith-derived metrics of northern anchovy (Engraulis mordax) growth in the context of local oceanography and anchovy in situ prey and zooplankton predators in the northern California Current (NCC).ResultsAnchovy growth was spatially variable and the regions that conferred heighted growth differed with regard to the cross-shelf extent of upwelled waters. …”
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  3. 6263

    Previous reproductive success and environmental variation influence nest‐site fidelity of a subarctic‐nesting goose by Jordan M. Thompson, Brian D. Uher‐Koch, Bryan L. Daniels, Thomas V. Riecke, Joel A. Schmutz, Benjamin S. Sedinger

    Published 2024-10-01
    “…., the win‐stay lose‐switch strategy) may be beneficial when habitat quality is spatially variable and temporally predictable; however, changes in environmental conditions may constrain dispersal decisions despite previous reproductive success. …”
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  4. 6264

    Analysis on Spatio-Temporal Variability of Fractional Vegetation Cover and Influencing Factors from 2000 to 2020 in Southwestern China by Yuting LIU, Lei WANG, Xiehui LI, Lei GUO

    Published 2024-02-01
    “…The southwestern China is a vital ecological safeguard and is characterized by ecological fragility and climate sensitivity.Based on the MOD13A3 NDVI dataset, this study used a pixel dichotomy model to calculate the average Fractional Vegetation Cover (FVC) from 2000 to 2020 annually, during growing seasons, and in each of the four seasons for the whole southwestern China and its provinces, a spatio-temporal variation analysis was then performed on FVC across different time scales.The study also discussed the primary factors influencing FVC changes over the past 21 years, using ERA5 temperature data, GPCP satellite precipitation data, and DEM data.Finally, the Hurst Index was used to predict future FVC trends.(1) The results indicate that from 2000 to 2020, the overall FVC in the eastern part of the southwestern China showed an increasing trend, particularly in Chongqing and Guizhou, while Tibet showed a general decline.(2) Spatially, the FVC generally showed a "higher in the east and lower in the west" trend, with areas where FVC increased accounting for 43.9% of the total area, and areas of decrease accounting for 53.5%.(3) Precipitation promotes FVC, while temperature has varied effects in different regions.(4) Human activity significantly impacts FVC, with promotion, suppression, and no effect zones accounting for 40.4%, 47.6%, and 12.0% of the grid percentage, respectively.(5) Elevation and FVC over different time scales are significantly correlated but both exhibit a pronounced declining trend.FVC increases significantly with slope, but decreases when the slope is greater than 25°.The effect of aspect on FVC in the southwestern China is less significant than that of slope, elevation, and climatic factors.(6) In the future, the FVC in Tibet and the eastern parts of Sichuan, Yunnan, and Guizhou in the southwestern China will increase, while most areas of western Sichuan and the Hengduan Mountains will exhibit a decreasing trend.The results can provide data support and scientific guidance for the formulation of ecological protection plans in the southwestern China.…”
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  5. 6265
  6. 6266

    Sugar Maple Litter Decay Rates Are Reduced More Strongly by Drought Than by American Beech Proliferation in the Understory by William F. J. Parsons, Claudele Ghotsa Mekontchou, Audrey Maheu, David Rivest

    Published 2025-05-01
    “…Mass loss did not change with mesh size in a consistent manner over 90 days (initial prediction: L > M > S). We estimated k‐values (year−1) by extending the linearized exponential decay model to 12 Proliferation‐Exclusion‐Species combinations. …”
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  7. 6267

    Tracer-based Rapid Anthropogenic Carbon Estimation (TRACE) by B. R. Carter, B. R. Carter, J. Schwinger, R. Sonnerup, A. J. Fassbender, J. D. Sharp, J. D. Sharp, L. M. Dias, L. M. Dias, D. E. Sandborn

    Published 2025-07-01
    “…Unfortunately, C<span class="inline-formula"><sub>anth</sub></span> estimation methods are typically only accessible to trained scientists and modelers with access to significant computational resources. …”
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  8. 6268