Performance evaluation of surface air temperature simulated by the Beijing Climate Central Climate Model based on the climate complexity

Jin, Hongmei; Qiao, Liang; Wang, Suichan; Kong, Lingwang; Zhang, Jin

doi:10.1007/s00382-024-07137-x

Clim Dyn

2024

DOI: 10.1007/s00382-024-07137-x

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Performance evaluation of surface air temperature simulated by the Beijing Climate Central Climate Model based on the climate complexity

Hongmei Jin,

Liang Qiao,

Suichan Wang

et al.

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Predicting the impact of climate change and land use change on the potential distribution of two economic forest trees in Northeastern China

Lin,

Chang,

Huang

et al. 2024

Front. Plant Sci.

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Young shoots of Aralia elata and young leaves of Eleutherococcus senticosus are two major non-timber forest products in northeastern China. However, human activities and climate change have resulted in serious threats to the habitats of two trees, which greatly limits resource conservation and exploitation of economic forest trees. We used the MaxEnt model to predict the suitable habitats of the two economic trees and analyzed the dominant factors affecting their distribution. The results showed that the suitable habitat areas of A. elata and E. senticosus in the current period were 159950 km2 and 123449 km2, respectively, and the suitable habitats of both economic forest trees were located in the eastern part of the northeast region. Climate factors (Annual precipitation, Precipitation Seasonality) and land use factors are important variables influencing changes in suitable habitat for both trees. With the change of climate and land use in the future, the overall trend of suitable habitat for both economic forest trees shows a northward and then a southward migration. These results may provide assistance in developing strategies for resource conservation and sustainable use of A. elata and E. senticosus, and we suggest that stable and suitable habitats should be selected as areas for in situ conservation and breeding of the two economic forest trees.

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Predicting the impact of climate change and land use change on the potential distribution of two economic forest trees in Northeastern China

Lin,

Chang,

Huang

et al. 2024

Front. Plant Sci.

View full text Add to dashboard Cite

show abstract

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Performance evaluation of surface air temperature simulated by the Beijing Climate Central Climate Model based on the climate complexity

Cited by 1 publication

References 31 publications

Predicting the impact of climate change and land use change on the potential distribution of two economic forest trees in Northeastern China

Predicting the impact of climate change and land use change on the potential distribution of two economic forest trees in Northeastern China

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