| Autor: |
Degen Lin, Chuanqi Hu, Fang Lian, Jing’ai Wang, Xingli Gu, Yingxian Yu |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Land, Vol 12, Iss 11, p 2076 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2073-445X |
| DOI: |
10.3390/land12112076 |
| Popis: |
Salinization is a serious land degradation phenomenon. This study identified the salinity stress threshold as a causal factor for salinization, focusing on global maize fields as the study area. By excluding environmental stressors and setting salinization scenarios, the EPIC model was used to simulate the daily salinity stress threshold during the corn growth process. The global intensity and risk of salinization-induced disaster for maize were evaluated. Based on the principle of information diffusion, the intensity of salinization-induced disaster was calculated for different return periods. The main conclusions were as follows: (1) By excluding environmental stress factors and setting salinization scenarios, algorithms for the salinization index during the growing season and the intensity of salinization-induced disaster were proposed. (2) The salinity hazard factor is highly risky and concentrated in arid and semi-arid regions, while it is relatively low in humid regions. (3) As the recurrence period increases, the risk of salinization-induced hazard becomes higher, the affected area expands, and the risk level increases. (4) The salinization intensity results of this study are consistent with the research results of HWSD (R2 = 0.9546) and GLASOD (R2 = 0.9162). |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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