Core-transient's new research framework is applied to the study of community ecology based on nature.

In community ecology studies, studies based on nature often treat groups as a whole and believe that the causes of species coexistence are either random, deterministic, or both.
, however, the ecological process that dominates the dynamics of the population can be greatly varied between species, and there are great defects in the overall thinking.
Cao Min, a researcher in the Forest Ecosystem Structure, Function and Dynamics Group of the Xishuangbana Tropical Botanical Garden of the Chinese Academy of Sciences, Lin Luxiang, a researcher in the Youth Group for Community Construction and Species Coexistence, and Nathan Swenson, a researcher at the University of Maryland, co-directed phD students Zhang Caicai and Maria Natalia Umaña from both sides to propose a new research framework for core-transient applied to the study of character-based community ecology.
framework, one core species group has a strong correlation with the local environment, while another transient species has a weaker correlation to the local environment.
Consistent with the framework's predictions, the researchers found that the performance of common species was clearly correlated with their characteristics and environment, while rare species tended to have weak or less significant associations.
The study suggests that the study of community ecology based on the nature should be freed from the multiple ecological processes acting on the whole research idea of a community, and turn to the intersexual variation of the ecological processes that drive the dynamics of the population quantitatively, and thus study the mechanism of community construction on a scale.
the study was published online at Ecoology Letters under the title A core-transient framework for trait-base community ecology: an example from a tropical tree project community.
this is the second time the two sides have worked together to publish a paper on Ecoology Letters.
the study was funded by the Ministry of Science and Technology's "973" project (2014CB954104), the National Natural Science Foundation of China (31370445,31570430) and the International Cooperation Fund of the South-East Asian Biodiversity Research Centre (2015 CASSEABRI004), as well as strong support from the Xishuangbuna Rainforest Ecosystem Research Station.
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