| Literature DB >> 30380484 |
Yimin Chen1, Xia Li2, Xiaoping Liu3, Yuangying Zhang3, Min Huang3.
Abstract
Land change, especially urban land expansion, is increasingly triggered by remote demands for goods and services rather than by purely local drivers, exerting pressure on ecosystem services beyond local boundaries. This effect has been termed as 'tele-connections'. China has become the world's second largest economy. Understanding the tele-connections between China's future urban growth and its impacts on ecosystem services is essential to reconcile the conflict between socioeconomic developments and ecological protection. To this end, we propose to integrate an urban growth simulation model with the multi-region input-output (MRIO) model, thereby illustrating how urban land consumption in one region can cause ecosystem services' degradation in another. We explore the decline in ecosystem services due to urban land tele-connections under five shared socioeconomic pathway (SSP) scenarios. The results yield the direct loss of ecosystem services by 1.14-5.42% in food production, 0.06-0.44% in carbon sequestration, 0.09-0.59% in soil retention, 0.05-0.29% in sandstorm prevention, 0.12-0.80% in water retention and 0.19-1.04% in habitat provision. Uneven ecological consequences caused by domestic urban land displacement are witnessed not only in China's peripheral regions but also in developed regions. Shanghai, as the largest city in China, is expected to exert great impacts in terms of the quantity of ecosystem services decline and its spatial extent as well. Overall, the presented scenario simulations can support the establishment of effective compensation strategies toward balancing the responsibility and rights of stakeholders associated with ecological services protection.Entities:
Keywords: Ecosystem services; Scenario simulations; Shared socioeconomic pathways; Tele-connections; Urban growth
Year: 2018 PMID: 30380484 DOI: 10.1016/j.scitotenv.2018.10.283
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963