Land-use changes and ecosystem services under different scenarios in Nansi Lake Basin, China

Land use change is widely regarded as a key factor altering the structure and function of ecosystems. Urbanization is a particular driver and influence in land use change and is expanding globally, especially in developing countries like China. The InVEST model was employed in this study to comprehensively assess the temporal-spatial impacts of urban land use changes (ULUC) on ecosystem services (ESs) and clarify the tradeoffs between urbanization and ecosystem services provision (ESP) in Dianchi Lake Basin (DLB), China, during 1995–2015. The results showed that DLB’s constructed land, particularly in lakeside areas, has increased substantially because of rapid urbanization (built-up area increase 51%, urbanization rate increase 91%), at the expense of agriculture, grassland, and scrubland, greatly altering ESP. Compared with 1995, carbon storage in 2015 decreased, while soil retention and nitrogen exports only fluctuated slightly. Although water yield increased, the ecological water volume of the whole DLB decreased through an increase in regional surface runoff. This resulted in more pollutants being carried into Dianchi Lake, impairing water quality and causing serious ecological and environmental issues. Thus, this study provides empirical evidence of the significant influence of ULUC on ESP. For eco-friendly urbanization in DLB and similar areas with rapid urbanization, a sustainable pattern of urbanization should be followed. The best tradeoffs between urbanization and ESP should be identified and considered in decision-making relating to urban planning, land use management, optimal natural resources management, and ecological conservation.

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The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE

10.18235/0003625 ◽

2021 ◽

Author(s):

Peter H. Verburg ◽

Žiga Malek ◽

Sean P. Goodwin ◽

Cecilia Zagaria

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Land Use Change ◽

Land Use Changes ◽

Environmental Modeling ◽

Modeling Framework ◽

Regional Modelling ◽

Model Application ◽

Climatic Regions ◽

Single Region

The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model application, which then allocates land use change across different regions. This facilitates integration with the Integrated Economic-Environmental Modeling (IEEM) Platform for subnational assessments and increases the efficiency of the IEEM and Ecosystem Services Modeling (IEEMESM) workflow. Multi-regional modelling is particularly useful in larger and diverse countries, where we can expect different spatial distributions in land use changes in different regions: regions of different levels of achieved socio-economic development, regions with different topographies (flat vs. mountainous), or different climatic regions (dry vs humid) within a same country. Accounting for such regional differences also facilitates developing ecosystem services models that consider region specific biophysical characteristics. This manual, and the data that is provided with it, demonstrates multi-regional land use change modeling using the country of Colombia as an example. The user will learn how to prepare the data for the model application, and how the multi-regional run differs from a single-region simulation.

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Assessing the Impact of Land Use Changes on Ecosystem Services Value

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58814-4_47 ◽

2020 ◽

pp. 606-616

Author(s):

Angela Pilogallo ◽

Lucia Saganeiti ◽

Francesco Scorza ◽

Beniamino Murgante

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Land Use Changes ◽

Ecosystem Services Value ◽

The Impact

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Impacts of land use changes on net ecosystem production in the Taihu Lake Basin of China from 1985 to 2010

Journal of Geophysical Research Biogeosciences ◽

10.1002/2016jg003444 ◽

2017 ◽

Vol 122 (3) ◽

pp. 690-707 ◽

Cited By ~ 22

Author(s):

Xibao Xu ◽

Guishan Yang ◽

Yan Tan ◽

Xuguang Tang ◽

Hong Jiang ◽

...

Keyword(s):

Land Use ◽

Taihu Lake ◽

Land Use Changes ◽

Net Ecosystem Production ◽

Lake Basin ◽

Taihu Lake Basin ◽

Ecosystem Production

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Analysis of Nonpoint Source Pollution and Water Environmental Quality Variation Trends in the Nansi Lake Basin from 2002 to 2012

Journal of Chemistry ◽

10.1155/2015/967165 ◽

2015 ◽

Vol 2015 ◽

pp. 1-11 ◽

Cited By ~ 1

Author(s):

Weiliang Wang ◽

Tiantian Ju ◽

Wenping Dong ◽

Xiaohui Liu ◽

Chuanxi Yang ◽

...

Keyword(s):

Water Pollution ◽

Economic Development ◽

Environmental Quality ◽

Nonpoint Source Pollution ◽

Nonpoint Source ◽

Lake Basin ◽

Class Iii ◽

Nansi Lake ◽

Nansi Lake Basin ◽

Water Environmental Quality

Based on the data analysis of economic development and the water environmental quality from 2002 to 2012 in the Nansi Lake Basin in China, the correlation between economic development and the water environmental quality was researched. Analysis shows that the GDP of the Nansi Lake Basin had an average annual growth of 7.3% in 2012, and the COD andCODMnhad the average annual decrease of 7.69% and 6.79%, respectively, compared to 2002. Basin water environmental quality overall improved, reaching Class III of the “Environmental quality standards for surface water (GB3838-2002).” The pollution of the water environment was analyzed from three aspects: agricultural fertilizers and pesticides, livestock, and aquaculture. Results indicated that the water pollution of the Nansi Lake Basin mainly came from nonpoint source pollution, accounting for more than 80% of the overall pollution. The contributions of both agricultural fertilizers and pesticides account for more than 85% of the overall nonpoint source, followed by livestock and aquaculture. According to the water pollution characteristics of the Nansi Lake Basin, the basin pollution treatment strategy and prevention and treatment system were dissected, to solve the pollution problem of the Nansi Lake Basin.

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Mapping of Major Land-Use Changes in the Kolleru Lake Freshwater Ecosystem by Using Landsat Satellite Images in Google Earth Engine

Water ◽

10.3390/w12092493 ◽

2020 ◽

Vol 12 (9) ◽

pp. 2493 ◽

Cited By ~ 1

Author(s):

Meena Kumari Kolli ◽

Christian Opp ◽

Daniel Karthe ◽

Michael Groll

Keyword(s):

Land Use ◽

Land Cover ◽

Land Use Changes ◽

Google Earth ◽

Nutrient Concentrations ◽

Freshwater Ecosystem ◽

Lake Ecosystem ◽

Lake Basin ◽

Lake Area ◽

Google Earth Engine

India’s largest freshwater ecosystem of the Kolleru Lake has experienced severe threats by land-use changes, including the construction of illegal fishponds around the lake area over the past five decades. Despite efforts to protect and restore the lake and its riparian zones, environmental pressures have increased over time. The present study provides a synthesis of human activities through major land-use changes around Kolleru Lake both before and after restoration measures. For this purpose, archives of all Landsat imageries from the last three decades were used to detect land cover changes. Using the Google Earth Engine cloud platform, three different land-use scenarios were classified for the year before restoration (1999), for 2008 immediately after the restoration, and for 2018, i.e., the current situation of the lake one decade afterward. Additionally, the NDVI (Normalized Difference Vegetation Index) and NDWI (Normalized Difference Water Index) indices were used to identify land cover dynamics. The results show that the restoration was successful; consequently, after a decade, the lake was transformed into the previous state of restoration (i.e., 1999 situation). In 1999, 29.7% of the Kolleru Lake ecosystem was occupied by fishponds, and, after a decade of sustainable restoration, 27.7% of the area was fishponds, almost reaching the extent of the 1999 situation. On the one hand, aquaculture is one of the most promising sources of income, but there is also limited awareness of its negative environmental impacts among local residents. On the other hand, political commitment to protect the lake is weak, and integrated approaches considering all stakeholders are lacking. Nevertheless, alterations of land and water use, increasing nutrient concentrations, and sediment inputs from the lake basin have reached a level at which they threaten the biodiversity and functionality of India’s largest wetland ecosystem to the degree that immediate action is necessary to prevent irreversible degradation.

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The effect of future land use changes on hydrologic ecosystem services: a case study from the Zala catchment, Hungary

Biologia Futura ◽

10.1007/s42977-020-00032-6 ◽

2020 ◽

Vol 71 (4) ◽

pp. 405-418 ◽

Cited By ~ 2

Author(s):

Bence Decsi ◽

Ágnes Vári ◽

Zsolt Kozma

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Flood Control ◽

Land Use Changes ◽

Ecological Status ◽

Nutrient Retention ◽

Lake Balaton ◽

Stream Network ◽

Invest Model ◽

Low Performance

AbstractMaintaining and, where possible, improving the ecological status of our water resources are of particular importance for the future. So, one of the main drivers of landscape design must be to protect our waters. In this study, we carried out an evaluation of four hydrologic ecosystem services (HES) in the Zala River catchment area, the largest tributary of Lake Balaton (more than half of the lake’s surface inflow comes from the Zala River), Hungary. The lake has great ecological, economic and social importance to the country. We used the cell-based InVEST model to quantify the spatial distribution of flood control, erosion control and nutrient retention ecosystem services for phosphorus and nitrogen; then, we carried out an aggregated evaluation. Thereby, we localized the hot spots of service delivery and tested the effect of focused land use changes in critical areas of low performance on the examined four HES. Forests proved to have the best aggregated result, while croplands near the stream network performed poorly. The modelled change in land use resulted in significant improvement on nutrient filtration and moderate to minimal but improving change for the other HES in most cases. The applied method is suitable as a supporting tool at the watershed level for decision-makers and landscape designers with the aim of protecting water bodies.

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Future Impacts of Land Use Change on Ecosystem Services under Different Scenarios in the Ecological Conservation Area, Beijing, China

Forests ◽

10.3390/f11050584 ◽

2020 ◽

Vol 11 (5) ◽

pp. 584 ◽

Cited By ~ 4

Author(s):

Zuzheng Li ◽

Xiaoqin Cheng ◽

Hairong Han

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Land Use Change ◽

Carbon Storage ◽

Soil Conservation ◽

Land Use Changes ◽

Conservation Area ◽

Trade Offs ◽

Ecological Conservation ◽

Flood Regulation

Ecosystem services (ES), defined as benefits provided by the ecosystem to society, are essential to human well-being. However, it remains unclear how they will be affected by land-use changes due to lack of knowledge and data gaps. Therefore, understanding the response mechanism of ecosystem services to land-use change is critical for developing systematic and sound land planning. In this study, we aimed to explore the impacts of land-use change on the three ecosystem services, carbon storage (CS), flood regulation (FR), and soil conservation (SC), in the ecological conservation area of Beijing, China. We first projected land-use changes from 2015 to 2030, under three scenarios, i.e., Business as Usual (BAU), Ecological Land Protection (ELP), and Rapid Economic Development (RED), by interactively integrating the Markov model (Quantitative simulation) with the GeoSOS-FLUS model (Spatial arrangement), and then quantified the three ecosystem services by using a spatially explicit InVEST model. The results showed that built-up land would have the most remarkable growth during 2015–2030 under the RED scenario (2.52% increase) at the expense of cultivated and water body, while forest land is predicted to increase by 152.38 km2 (1.36% increase) under the ELP scenario. The ELP scenario would have the highest amount of carbon storage, flood regulation, and soil conservation, due to the strict protection policy on ecological land. The RED scenario, in which a certain amount of cultivated land, water body, and forest land is converted to built-up land, promotes soil conservation but triggers greater loss of carbon storage and flood regulation capacity. The conversion between land-use types will affect trade-offs and synergies among ecosystem services, in which carbon storage would show significant positive correlation with soil conservation through the period of 2015 to 2030, under all scenarios. Together, our results provide a quantitative scientific report that policymakers and land managers can use to identify and prioritize the best practices to sustain ecosystem services, by balancing the trade-offs among services.

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