| Autor: |
Jiayi Jiang, Sijing Ye, Peichao Gao, Changqing Song |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
MethodsX, Vol 13, Iss , Pp 102862- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2215-0161 |
| DOI: |
10.1016/j.mex.2024.102862 |
| Popis: |
Sustainable intensification (SI) of agriculture can produce more food to meet the demand of a growing population while considering ecosystem health. The current SI estimation framework ignores the complex coupling between input and output intensity of arable land. A method for coupled analysis of arable land input intensity and output intensity based on sliding windows is proposed. By calculating the correlation coefficient and partial correlation coefficient between input intensity and output intensity in different value ranges as the order parameter, the phase transition and the influence process of input intensity on output intensity can be explained. Meanwhile, a python-based framework is developed.An application of the method was made to reveal the interaction process between annual provincial input intensity and output intensity in mainland China. Researchers in many fields may benefit from the method by obtaining a fast way to analysis the coupling relationship between driving and dependent variables in complex systems. • New method for SI estimation is presented. • The order parameter of the coupling relationship between input and output intensity is calculated based on sliding windows. • Analysis of coupling relationships between driving and dependent variables in complex systems. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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