2020
DOI: 10.1016/j.ecolind.2019.106004
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Assessing and predicting changes in ecosystem service values based on land use/cover change in the Bohai Rim coastal zone

Abstract: Land use/cover change (LUCC) in the Bohai Rim coastal zone has accelerated as a result of rampant economic development, which has directly caused many negative effects on ecosystem functions and services. Based on multi-temporal land use data (2000, 2005, 2010 and 2015), the benefit transfer method was used to assess the ecosystem service value (ESV) of the Bohai Rim coastal zone, and the impact of LUCC on ecosystem services was studied. Multi-scenario simulations for 2025 were conducted using the future land … Show more

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Cited by 169 publications
(82 citation statements)
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“…Moreover, it can realize large-scale simulation. Therefore, it is widely used in regional, national and even global land use simulations [57][58][59].…”
Section: Land Use Change and Climate Change Scenariosmentioning
confidence: 99%
“…Moreover, it can realize large-scale simulation. Therefore, it is widely used in regional, national and even global land use simulations [57][58][59].…”
Section: Land Use Change and Climate Change Scenariosmentioning
confidence: 99%
“…The Bohai Sea is an 'inland' sea of China that is surrounded in a 'C' formation by the Liaodong Peninsula, Shandong Peninsula, and the North China Plain. The main ecosystem types along the coastline include estuary wetlands, farmland, aquaculture ponds, salt fields, shallows, and coastal beaches (Li et al, 2016; Liu, Hou, Li, Song, & Wang, 2020). Enormous ecological and environmental pressures in the Bohai Rim region have been caused by frequent and intensive human activities.…”
Section: Introductionmentioning
confidence: 99%
“…There are many possibilities for future land use changes due to the impact of policies, population, and economic development. The FLUS model is an integrated model that can combine human activities and environmental effects to simulate land use changes in different scenarios, such as the natural growth scenario, urban expansion scenario, and ecological security scenario [ 27 ].…”
Section: Introductionmentioning
confidence: 99%