Assessing the potential impacts of urban expansion on regional carbon storage by linking the LUSD-urban and InVEST models

He, Chunyang; Zhang, Da; Huang, Qingxu; Zhao, Yuanyuan

doi:10.1016/j.envsoft.2015.09.015

Cited by 251 publications

(108 citation statements)

References 72 publications

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“…Therefore, protecting ecological and environmental system from the impact of urbanization has become an important global strategy and has stimulated large amount of studies (Li et al, 2012(Li et al, , 2013a. For instance, researchers have studied the effects of urbanization on the land cover change (Lambin and Meyfroidt, 2010;Zhou et al, 2014), dynamic of vegetation's ability to fix carbon and release oxygen (He et al, 2016;Zhang et al, 2012), as well as on water resources management (Mouri et al, 2012), and on the urban heat island effect (Li et al, 2011). However, most of these studies were conducted based on comparing urban areas with rural areas.…”

Section: Introductionmentioning

confidence: 99%

Identifying the urban-rural fringe using wavelet transform and kernel density estimation: A case study in Beijing City, China

Peng

Zhao

Liu

et al. 2016

Environmental Modelling & Software

104

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Section: Introductionmentioning

confidence: 99%

Identifying the urban-rural fringe using wavelet transform and kernel density estimation: A case study in Beijing City, China

Peng

Zhao

Liu

et al. 2016

Environmental Modelling & Software

104

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“…Based on the InVEST model, we can assess the ecosystem services and the impacts of human activities on the environment. The model is widely used in government, non-governmental organizations and research institutions [23][24][25].…”

Section: Assessing Nutrient Export By Invest Modelmentioning

confidence: 99%

The Impact of Cropland Balance Policy on Ecosystem Service of Water Purification—A Case Study of Wuhan, China

Yun

Kong

et al. 2017

Water

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Urbanization has been responsible for the loss of cropland worldwide, especially in China. Since this trend is expected to continue in the near future, China has implemented the strictest cropland protection policies in the world, to guarantee its national food security. However, the negative impact of cropland protection policies on ecosystem services has always been ignored. In this paper, we used LANDSCAPE (Land System Cellular Automata model for Potential Effects) model to assess the ecological lands loss under different scenarios in Wuhan, China during S2010-2020. Our scenarios differ in whether or not the cropland protection policy is imposed. Then, the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model was used to calculate the amount of nutrient export under two different scenarios and to analyze the mechanism of impact of Cropland Balance Policy on water purification. Results show that the scenarios with strict cropland protection (CP) will lead to more losses of ecological lands compared with scenarios without cropland protection (NCP). Besides, the nitrogen export in the CP scenario is average 8.6% higher than the NCP scenario, which indicates that the Cropland Balance Policy has a negative impact on water purification. The nitrogen export is transported mainly by subsurface, which is 1.73 times higher than the surface averaged over the two scenarios. Accordingly, this study proposed that reasonable land use planning, and lowering the nutrient delivery ratio would be more beneficial to the ecosystem service of water purification.

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“…Regarding the former, some studies concentrate on the direct habitat problem, such as natural habitat loss and degradation [9,12,14,15] while others use an ecological index to indirectly represent habitat loss and degradation, such as the landscape fragment index [15,16] or the habitat pressure index [17]. Recently, ES are increasingly used to reflect urban expansion's influence on ecology [16,[18][19][20]. Those studies select ES types according to their importance and the data collection situation in their study areas.…”

Section: Introductionmentioning

confidence: 99%

“…Urban expansion models such as cellular automata (CA) sometimes consider ecological constraint factors (e.g. [18,20,31]). However, these models normally simulate urban expansion according to some socioeconomic factors; they take ecological indicators as the block area for urban expansion but do not consider parameters attending the urban expansion.…”

Section: Introductionmentioning

confidence: 99%

“…Some studies analyze the linear correction between the urban expansion result and the ecological indicators result [16,20], but they do not reflect the interaction between the urban expansion process and the ecological process. Even the urban expansion model hardly considers urban growth impacts on ecological processes [18,31], nor does it join the ecological process with the synthesis calculation in the urban expansion model; therefore, most current models cannot detect urban expansion from the perspective of ecological mechanisms and processes [18,20,35].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Biodiversity constraint indicator establishment and its optimization for urban growth: framework and application

Sun

et al. 2019

Environ. Res. Lett.

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Urbanization causes tremendous pressure on biodiversity and ecosystems at the global scale. China is among the countries undergoing the fastest urban expansion. For a long time, ecological environment protection has not been a priority in China's urban planning process. Current urban growth optimization research has some limitations regarding the selection of more scientific ecological constraint indicators and the interaction between urban expansion and ecological factors. This paper at first aimed to establish a reasonable comprehensive biodiversity constraint indicator based on the indicators of net primary productivity, habitat connectivity and habitat quality, and then conducted a case study in Beijing and compared biodiversity loss and urban growth patterns under different developing situations. The integrated valuation of ecosystem services and trade-offs model and GISrelated methods were used to obtain biodiversity and ecological spatial distribution layers. Then an ecological priority-oriented urban growth simulation method was proposed to search for minimum biodiversity loss. The results showed that the important biodiversity security areas were mostly distributed in the western part of the study area and that the ecological degradation in 2000 had a radial pattern and was well in line with the urban construction and ring road distribution patterns. Meanwhile, biodiversity loss with the biodiversity constraint was much less than actual urban growth in 2000-2010. Under the guidance of ecological optimization, urban growth in the research results reflects decentralized and multi-center spatial development characteristics. This type of urban growth not only provides a new model for breaking the inertia of urban sprawl but also proposes 'biodiversity security' as an applicable regulatory tool for urban planning and space governance reforming.

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Assessing the potential impacts of urban expansion on regional carbon storage by linking the LUSD-urban and InVEST models

Cited by 251 publications

References 72 publications

Identifying the urban-rural fringe using wavelet transform and kernel density estimation: A case study in Beijing City, China

Identifying the urban-rural fringe using wavelet transform and kernel density estimation: A case study in Beijing City, China

The Impact of Cropland Balance Policy on Ecosystem Service of Water Purification—A Case Study of Wuhan, China

Biodiversity constraint indicator establishment and its optimization for urban growth: framework and application

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