Patterns and Distributions of Urban Expansion in Global Watersheds

Huang, Qingxu; Zhang, Han; Vliet, Jasper van; Ren, Qiang; Wang, Raymond Yu; Du, Shiqiang; Liu, Zhifeng; He, Chunyang

doi:10.1029/2021ef002062

Cited by 36 publications

(2 citation statements)

References 73 publications

(155 reference statements)

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“…We wish to use the urban land cover from the same data source for consistency among this simulation and future experiments. The He2021 dataset is in broad agreement, in terms of total urban area and urban area growth rate, with previous urban land cover projections (Figure ; Chen et al, 2020; Gao & O’Neill, 2020; Huang et al, 2021; Li et al, 2019). The urban properties, including morphological, thermal and radiative characteristics, prescribed for the new surface dataset are the same with those in the J2010 dataset.…”

Section: Model and Experimentssupporting

confidence: 84%

A global dataset on subgrid land surface climate (2015–2100) from the Community Earth System Model

Zhang

Lee

Schultz

et al. 2022

Geoscience Data Journal

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Subgrid data from earth system models are a powerful, yet underutilized, data resource for investigating the climatic impacts of land use and land cover change (LULCC). In this paper, we describe a global dataset on subgrid land surface climate variables produced by the Community Earth System Model in a fully coupled mode. The simulation was conducted at a 0.9° × 1.25° resolution under the Representative Concentration Pathway (RCP) 8.5 scenario from 2015 to 2100. Data are archived for eight subgrid tiles (urban, rural, tree, grass, shrub, bare soil, crop and lake) and include variables on the physical state, surface energy fluxes, runoff and atmospheric forcing conditions. Archival intervals are monthly, daily and hourly. Meta data on land surface parameters are also available. The data files are stored in NetCDF‐4 (Network Common Data Form, version 4) format and the meta data follow the latest Coupled Model Intercomparison Project phase 6 standards. We anticipate that this dataset will become a useful resource for characterizing local climate changes due to LULCC. This dataset can be downloaded from the Harvard Dataverse (https://doi.org/10.7910/DVN/HUXAH6).

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Section: Model and Experimentssupporting

confidence: 84%

A global dataset on subgrid land surface climate (2015–2100) from the Community Earth System Model

Zhang

Lee

Schultz

et al. 2022

Geoscience Data Journal

Self Cite

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“…At the global scale, Chung et al (2021) revealed the interrelationships between global urban land and freshwater ESs. Huang et al (2021) analyzed urban expansion from 1992 to 2016 in terms of global endorheic and exoreic watersheds. At the national scale, Liu et al (2022) analyzed urban expansion and evaluated the relationships between supply of and demand for ESs in China.…”

Section: Introductionmentioning

confidence: 99%

Assessing the impacts of future urban expansion on multiple ecosystem services in the transnational area of Changbai Mountain

et al. 2023

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Introduction: An assessment of the potential impacts of future urban expansion on multiple ecosystem services (ESs) represents an essential contribution to the sustainable development of the transnational area of Changbai Mountain (TACM). However, the potential ES losses attributed to future urban expansion have been assessed in few studies.Methods: In this study, we evaluated the potential ES losses attributable to urban expansion in the TACM over the period from 2015 to 2050. To achieve this objective, we initially quantified multiple ESs (namely, food production (FP), carbon storage (CS), water retention (WR), and air purification (AP)) based on 1992 data, and subsequently simulated urban expansion from 2015 to 2050 by coupling Shared Socioeconomic Pathways scenarios (SSPs) with the zoned Land Use Scenario Dynamics-urban model. Finally, the potential impacts of future urban expansion on ESs were evaluated on multiple scales.Results: The results indicated that during the period from 2015 to 2050, the extent of urban land will grow by between 157.59 and 517.77 km2, resulting in FP, CS, WR, and AP losses of 193.76–684.39 thousand tons, 1.47–5.24 million tons, 8.74–30.00 million tons, and 0.34–1.18 thousand tons, respectively.Discussion: The subregion falling within the Democratic People’s Republic of Korea (DPRK) will experience the most severe future losses of ESs, with losses of FP, CS, WR, and AP being 1.06–3.77-fold, 1.15–3.46-fold, 1.10–3.54-fold, and 1.08–3.21-fold higher, respectively than those that occurred in this subregion the period of 1992–2015. Specifically, the encroachment of new urban land onto cropland and woodland will be the main contributing factor in these future declines in ESs. Furthermore, the reductions in ESs attributable to urban expansion in this subregion will have serious effects on human wellbeing. By 2050, the loss of FP will affect approximately 9.58%–30.00% of the population. Moreover, among the residents of this subregion, the loss of AP will contribute to the need for additional expenditures of 6.63–19.81 million euros on air purification measures. On the basis of these findings, we suggest that effective policies and regulations should be implemented to promote the sustainable development of the TACM.

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Evaluating the supply and demand of cultural ecosystem services in the Tibetan Plateau of China

Zhang

Huang

et al. 2022

Landsc Ecol

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Context In the Tibetan Plateau (TP), the supply of cultural ecosystem services (CESs) is unique, and the demand for CESs is gradually increasing with rapid urbanization. Evaluating the relationship between the supply and demand for CESs is critical for guiding regional sustainable development. However, due to the difficulty in obtaining empirical data in the high altitude and complex topography of the TP, relevant research is still lacking. Objectives The objective of this study was to develop an approach to address the difficulty of obtaining the empirical data on the TP and to evaluate the relationship between the supply and demand for CESs. Methods Taking the Qinghaihu–Huangshui basin as an example, we combined the SolVES (Social Values for Ecosystem Services) model and social media big data to evaluate the supply and demand for CESs in the TP. Results Our results showed that the combined method can effectively evaluate the supply and demand for CESs in the basin, and can be used for other remote regions. The supply and demand for CESs in the basin exhibited obvious spatial mismatch. Among the two types of mismatch, in the areas of high supply and low demand of CESs, residents’ subjective well-being (SWB) were substantially lower. Being far away from central city was an important reason for the high supply and low demand of CESs. Conclusions Establishing and improving the transportation system connecting central cities with other counties is encouraged to utilize the rich cultural and tourism resources of the TP, as well as enhance the SWB and promote regional sustainable development.

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Patterns and Distributions of Urban Expansion in Global Watersheds

Cited by 36 publications

References 73 publications

A global dataset on subgrid land surface climate (2015–2100) from the Community Earth System Model

A global dataset on subgrid land surface climate (2015–2100) from the Community Earth System Model

Assessing the impacts of future urban expansion on multiple ecosystem services in the transnational area of Changbai Mountain

Evaluating the supply and demand of cultural ecosystem services in the Tibetan Plateau of China

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