Assessment of Climate Change and Land Use/Land Cover Effects on Aralia elata Habitat Suitability in Northeastern China

Author:

Jin Xin1,Chang Baoliang23ORCID,Huang Yanqing234,Lin Xiaokun1

Affiliation:

1. Liaoning Institute of Forest Management, Dandong 118002, China

2. CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China

3. Liaoning Shenyang Urban Ecosystem Research Station, National Forestry and Grassland Administration, Shenyang 110164, China

4. Shenyang Arboretum, Chinese Academy of Sciences, Shenyang 110016, China

Abstract

Climate change and land use/land cover (LULC) change have received widespread attention as the two main factors contributing to the shrinking of plant habitats. However, the different effects of these factors on understory economic tree species are not clear. This is not conducive to the conservation and exploitation of forest resources. Here, we used species distribution modeling to predict the extent to which climate change and LULC change will affect changes in suitable habitats for A. elata under different scenarios in the future. The results showed the suitable habitat to be located in the Changbai Mountain Range in northeast China. The current area is 110,962 km2. The main variables that affect the suitable habitat are annual precipitation, LULC, slope, and mean diurnal range. The percentage contributions are 31.2%, 16.8%, 12.8%, and 12.3%, respectively. In the 2070s, the area of high-quality (moderately and highly) suitable habitat was reduced by an average of 6.05% when climate alone changed, and by an average of 10.21% when land use alone changed. When both factors changed together, there was an average decrease of 9.69%. When climate change and land use change acted together, the shrinking area of suitable habitat did not suddenly increase. These findings help to identify potentially suitable habitats for A. elata and to carry out conservation and exploitation efforts to ensure sustainability.

Publisher

MDPI AG

Subject

Forestry

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