Assessment of ecological risks induced by land use and land cover changes in Xiamen City, China

ABSTRACT

The landscape ecological risk (LER) in Xiamen City, China, from 1990 to 2030 was studied using an urban land use and land cover change (LUCC) model and LER analysis. The LUCC model was used to predict the LUCC of Xiamen from 2020 to 2030. We analyzed the characteristics of LUCC and landscape pattern changes and, finally, evaluated the effect of rapid LUCC on LER. Of the six landscape types investigated, built-up land and farmland demonstrated the most significant changes. The area of built-up land increased by 1.5 times in 2010 and is predicted to increase by 2.7 times in 2030 than that in 1990. The area of farmland increased from 34.5% in 1990 to 24.5% in 2010 and is predicted to decrease to 15.1% in 2030. The number of patches (NP) of built-up land decreased with increasing area, which promoted the dominance of built-up land over other landscape types. Five landscape types, those other than built-up land, increased in NP, landscape fragmentation, segmentation, and disturbance but decreased in dominance. The LER of Xiamen in 2010 was slightly lower than that in 1990. However, with the acceleration of urbanization, the LER in 2020 and 2030 will increase by 7.6% and 12.5% than that in 2010. The LER will significantly increase in areas such as the Huandong sea area, the second urban core of Xiamen, and northern Xiang'an. For the areas, some measures (e.g. optimum urban spatial growth patterns and control of coastal reclamation) must inevitably increase to reduce the LER posed by rapid urbanization.

KEYWORDS:

• Ecological risk assessment
• urban ecosystems
• landscape ecological risk analysis
• land use and land cover change

Acknowledgments

This research was supported by National Natural Science Foundation of China (41471366, 71533003), the National Key R&D Program of China (2016YFC0502902), the Natural Science Foundation of Fujian Province (2017J01468), and the Fujian Science and Technology Support Program for provincial universities (JK2015025).

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [41471366, 71533003]; the National Key R&D Program of China [2016YFC0502902]; the Natural Science Foundation of Fujian Province [2017J01468]; the Fujian Science and Technology Support Program for provincial universities [JK2015025].