Source: China News Agency

Reporter: Sun Zi Law

In the context of global climate change, how plants on the earth resist and adapt, and have long received much attention and continuous research on the academic circles for a long time.

The Qinghai -Tibet Plateau Institute of the Chinese Academy of Sciences posted information to the media on the 19th that the latest cooperation studies of the scientific research team and American universities such as American universities found that although the climate warming caused the plant growth seasonThe stable balance of time -the longer the time of the vegetation returns, the longer the aging time.

This study widely uses satellite and ground observation data, revealing that from 2001 to 2020, more than 83%of the vegetation in the northern hemisphere ecosystem still maintains the stability of the time distribution of green leaf growth and aging.This discovery is of great significance to understand how to deal with global changes through resource allocation and maintain the structure and functional stability of the ecosystem. Related results papers have recently published in the scientific progress of international academic journals.

The first author of the paper and the author of the joint communication, and the associate researcher of the ecosystem function and global change team of the Qinghai -Tibet Plateau Research Institute of the Chinese Academy of Sciences, said that a reasonable time allocation is an important subjective active behavior to promote personal and social progress.For plants, this time allocation strategy may be formed through natural selection during the long evolution.For a long time, ecological research has paid more attention to the use of plants in terms of material resources, such as the distribution of carbon, water, and nutrients, and lacks full understanding of the strategy of using time resources.

He pointed out that in this study, the research team used the time allocation of vegetation blades to grow and aging as a case, and tested two possible vegetation and time allocation methods: First, the optimal adjustment with climate change adjustment was adjusted.Time allocation; second, keep a stable constant time allocation no matter how the climate changes.The results support the constant time allocation strategy, and the verification and analysis of different data sources and methods also provides strong evidence for the constant time allocation strategy in the northern hemisphere ecosystem.

This study also found that compared with the aging period of the leaves, the leaves of the northern hemisphere ecosystem have a long period of growth, and the time distribution ratio of the two is about 1.27.In addition, the time of green leaf growth and aging is allocated on the space dependence on space. It is significantly increased with high altitude areas such as the Qinghai -Tibet Plateau.

Subsequently, the research team further explored the mechanism of driving this time allocation strategy. It was found that early waiting incidents had a significant positive transmission effect on follow -up incidents.The long period of aging, so as to maintain the consistency between the two.

The author of the paper and researcher Chen Anping, a researcher at Colorado State University in the United States, believes that the study reveals a strategy of resource utilization that people have not fully recognized before, highlighting the resistance of vegetation and waiting for climate change.This study also helps predict the time of vegetation aging. The research team builds a simple autumn waiting prediction model based on the theoretical framework of time allocation. This model can explain 58%of the autumn vegetation in the northern hemisphere.The model predicts the problem of insufficient accuracy.

Meng Fandong said that the research team will continue to monitor the characteristics of plants at the time of different time and space standards and improve its theoretical framework to further understand its impact on the structure and functional stability of the ecosystem.