To account for climate change, both up to 2020 and to 2050, we adopt a change factor approach. A large synthetic catalogue of hurricane events based on the methods of Emanuel et al.44and Feldmann et al.45was simulated using seven downscaled general circulation model scenarios to yield 55,00...
S3–S8, we conclude that for shallow aquifers temperature is the main driving factor for declining groundwater levels, rather than precipitation. This applies because mostly non-significantly changing or even increased precipitation is projected, however, our models still frequently show declining ground...
autilizes state-of-the-art technology 运用科技目前进步水平技术[translate] aFactor levels should cover a wide enough range to induce measurable change in the response 因素水平应该包括一个宽足够的范围导致在反应上的可测量的变化[translate]
Factors represent categorical data in R. print("Factor of the said vector:"): The message "Factor of the said vector:" is printed to the console. print(f): The factor f is printed, showing its levels and the values associated with each level. levels(f)[1] = "e": The first level...
As mycorrhizal fungi depend on plant carbon, ozone has been proposed as an important factor impairing soil nutrient cycling and forest tree growth and nutrition in an indirect manner via reduced and chemically altered carbon flow to the mycorrhizosphere (Andersen, 2003). Ozone effects on ...
A novel flood conditioning factor based on topography for flood susceptibility modeling[J]. Geoscience Frontiers, 2025, 16(1): 101960. DOI: 10.1016/j.gsf.2024.101960 [2] Luyi Yang, Xuan Ji, Meng Li, Pengwu Yang, Wei Jiang, Linyan Chen, Chuanjian Yang, Cezong Sun, Yungang Li. A ...
Climate is the primary factor driving locations for rainfed rice cultivation and rice yields. Hence changes in climate, such as those projected to occur in the future, particularly those related to increased variability in rainfall (Meinshausen et al., 2011), could result in some areas becoming ...
A large role is played by the factor of the multiplicity of the impact of various factors simultaneously. There is a growing need to compile information on the main threats to the spread of diseases, including infectious diseases associated with climate change. In this entry, we discuss the ...
Mixed data factor analysis resulted in the extraction of 13 dimensions, with Eigenvalue greater than one, which explained a total of 67.96% variance of the entire dataset. The first and the second dimension explained 16.26% and 11.80% variability of the data, respectively. The details of Eigen...
While the choice of RCP is an important factor in the magnitude and timing of atmospheric carbon dioxide levels, our previous work that included both RCP 4.5 and RCP 8.5 found far more variance in future carbon flux as a result of the choice of GCM (see Figs. 5 and 6 in ref.20). ...