Zobrazeno 1 - 10
of 1 899
pro vyhledávání: '"Aridity Index"'
Publikováno v:
Geoderma, Vol 451, Iss , Pp 117073- (2024)
As an essential nutrient element for biological growth and metabolism, sulfur is closely interlinked with the carbon and nitrogen cycles, and it is one of the limiting elements for grassland productivity. Here we investigated the spatial distribution
Externí odkaz:
https://doaj.org/article/9a0672d829bc416e8f7d584549b242e1
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 20, Pp n/a-n/a (2024)
Abstract Climate changes are known to have been a key regulator of the biodiversity in Earth's history. However, the dry‐humid degrees and alternating patterns throughout the Phanerozoic remain largely unconstrained. In this study, we report high c
Externí odkaz:
https://doaj.org/article/36a76337c58f44e1aeb446d3c2394afe
Publikováno v:
Nature Environment and Pollution Technology, Vol 23, Iss 2, Pp 1151-1160 (2024)
In this study, the aridity index (AI) based on gridded climate data was validated for defining aridity and classifying aridity zones in Iraq through comparison with the results obtained by the station-based aridity index. Gauge-based gridded climate
Externí odkaz:
https://doaj.org/article/4725af0b18b340d097b314af69067cd5
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 4, Pp 1507-1531 (2024)
Using an ensemble of three global climate models, the current study aims to estimate climate change and quantify the changes in the aridity and evapotranspiration of two distinct areas in Ethiopia. To adjust for bias in the climate dataset, the Hydro
Externí odkaz:
https://doaj.org/article/164fec6458b84057b7300f6e53e18704
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 2, Pp 806-813 (2024)
Climate change has led to heightened variability in global rainfall patterns, resulting in greater unpredictability and inconsistency, and it has led to the origin of meteorological drought situation. This has amplified the frequency of droughts or d
Externí odkaz:
https://doaj.org/article/639b194058a0429b869f8517218da2b0
Autor:
Sneha Gautam, Jasmin Shany V
Publikováno v:
Geosystems and Geoenvironment, Vol 3, Iss 2, Pp 100263- (2024)
This study investigates the evolving dry-wet climate patterns in southern India during 2020–2023, focusing on the impact of climate change. Spanning all 30 districts of Tamil Nadu, our analysis employs the HadGEM3-GC31-LL climate model, projecting
Externí odkaz:
https://doaj.org/article/16c755ecbb9342569a1ab80d2267565e
Autor:
Miao Liu, Guijun Yang, Wenping Yuan, Zhenhong Li, Meiling Gao, Yun Yang, Huiling Long, Yang Meng, Changchun Li, Haitang Hu, Heli Li, Zhanliang Yuan
Publikováno v:
Ecological Indicators, Vol 161, Iss , Pp 111977- (2024)
Vapor pressure deficit (VPD) shows significant spatial and temporal variability in the context of global climate change, which is important for studying the implications of climate change on the structure and function of ecosystems to analyze the eff
Externí odkaz:
https://doaj.org/article/fa3866bc87af49f1b0356d178167b21a
Publikováno v:
Acta Scientiarum Polonorum. Formatio Circumiectus, Vol 22, Iss 4, Pp 5-21 (2023)
Aim of the study: The purpose of this research was to assess the variability of thermal and precipitation conditions, as well as the risk of atmospheric drought in the north-eastern Lublin region in the period from 1971 to 2020. Material and meth
Externí odkaz:
https://doaj.org/article/ffcbd06790344c0f8d33288d209bda07
Autor:
Pavlo Lykhovyd
Publikováno v:
Вісник Харківського національного університету імені В.Н. Каразіна. Серія Геологія. Географія. Екологія, Iss 59, Pp 166-177 (2023)
Formulation of the problem. Remote sensing data might be used for indirect assessment of croplands conditions and drought stress through the calculation of specific vegetation indices, such as vegetation health index (VHI), agriculture stress index (
Externí odkaz:
https://doaj.org/article/6ab3c74c3c58435dae50dfde5279d69b
Publikováno v:
Aqua, Vol 72, Iss 12, Pp 2313-2330 (2023)
This investigation explores the spatio-temporal variations of aridity across the Sabarmati River basin (SRB), India, using rainfall and temperature datasets for the baseline (1951–2019) and future (2020–2100) periods. The projected changes are an
Externí odkaz:
https://doaj.org/article/fcdb0daf15764f32aa339f7b24f76d0b