Year-2020

Collective memory plays a controlling role in adaptation to potential flood risks, by learning from past disasters. Based on survey data, we suggest that using the Universal Decay Model (UDM) proposed by previous researchers provides better fitting results for the decay of flooding memory.

By drawing on the cases of SES management in dryland areas, we propose three distinct but complementary approaches to promote SES fit based on comprehensive and systematic analyses, which can be summarized as structural, dynamic, and scale approaches.

By eliminating positive effects from precipitation and including negative effects from breakpoints, TSS-RESTREND highlighted the potential overestimate of improvement by the linear regression method and the underestimate of degradation by the linear regression and RESTREND methods. These results showed that the land degradation detection with TSS-RESTREND method is useful for land conservation and restoration.

The Yellow River, once the world’s most sediment-rich river, has experienced dramatic regime shifts. We reanalyzed previous datasets to clarify the first historical sediment transport regime shift in the Yellow River. Our results suggest a regime shift occurred only under increased forcing from anthropogenic stresses (after 1900 AD).