Linking ecosystem services and economic development for optimizing land use change in the poverty areas

The ecosystem services (ESs) provided by mountain regions can bring about benefits to people living in and around the mountains. Ecosystems in mountain areas are fragile and sensitive to anthropogenic disturbance. Understanding the effect of land use change on ESs and their relationships can lead to sustainable land use management in mountain regions with complex topography. Chongqing, as a typical mountain region, was selected as the site of this research. The long-term impacts of land use change on four key ESs (i.e., water yield (WY), soil conservation (SC), carbon storage (CS), and habitat quality (HQ)) and their relationships were assessed from the past to the future (at five-year intervals, 1995–2050). Three future scenarios were constructed to represent the ecological restoration policy and different socioeconomic developments. From 1995 to 2015, WY and SC experienced overall increases. CS and HQ increased slightly at first and then decreased significantly. A scenario analysis suggested that, if the urban area continues to increase at low altitudes, by 2050, CS and HQ are predicted to decrease moderately. However, great improvements in SC, HQ, and CS are expected to be achieved by the middle of the century if the government continues to make efforts towards vegetation restoration on the steep slopes.

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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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Sensitivity analysis of ecosystem services especially food provisioning due to the dynamics of land use change in Bogor Regency, West Java, Indonesia

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/399/1/012024 ◽

2019 ◽

Vol 399 ◽

pp. 012024

Author(s):

S L Munajati ◽

H Kartodihardjo ◽

M B Saleh ◽

Nurwadjedi

Keyword(s):

Land Use ◽

Sensitivity Analysis ◽

Ecosystem Services ◽

Land Use Change ◽

Food Provisioning ◽

West Java

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Spatial Pattern Analysis of a Water-Related Ecosystem Service and Evaluation of the Grassland-Carrying Capacity of the Heihe River Basin under Land Use Change

Water ◽

10.3390/w13192658 ◽

2021 ◽

Vol 13 (19) ◽

pp. 2658

Author(s):

Rui Luo ◽

Shiliang Yang ◽

Yang Zhou ◽

Pengqun Gao ◽

Tianming Zhang

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Land Use Change ◽

River Basin ◽

Carrying Capacity ◽

Animal Husbandry ◽

Heihe River Basin ◽

Heihe River ◽

The Impact ◽

The Heihe River Basin

A key challenge to the sustainability and security of grassland capacity is the protection of water-related ecosystem services (WESs). With the change of land use, the supply of aquatic ecosystem services has changed, and the grassland-carrying capacity has been affected. However, the correlation mechanism between WESs and the grassland-carrying capacity is not clear. In this study, we used the InVEST(Integrated Valuation of Ecosystem Services and Tradeoffs) model to evaluate the impact of land-use change on WESs, and made a tradeoff analysis between WESs and grassland-carrying capacity. Considering that the Heihe River Basin (HRB) was an important grassland vegetation zone, which was a milestone for the development of animal husbandry in China, HRB was taken as a case. The main findings are as follows: (1) the spatial distribution of WESs shows the dissimilation rule, the upper reaches are the main water yield area, the soil retention is weakening in the middle and lower reaches, and the pollution has further increased in the middle and upper reaches. (2) The carrying capacity of animal husbandry decreased in the upper reaches, increased in Shandan County and Zhangye City in the middle reaches, and decreased sharply in other regions. (3) There was a positive correlation between the livestock-carrying capacity and nitrogen export in 2018, which was increasing. As the change of land use has changed the evapotranspiration structure, WESs have undergone irreversible changes. Meanwhile, the development of large-scale irrigated farmland and human activities would be the source of a further intensification of regional soil erosion and water pollution. Therefore, it is necessary to trade off the WESs and animal husbandry under land-use change. This paper revealed how WESs changed from 2000 to 2018, the characteristics of the changes in the spatial and temporal distribution, and the carrying capacity. It aims to provide a scientific basis for coordinating the contradiction between grassland and livestock resources, improving the regional ecological security situation, and carrying out ecosystem management.

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Ecosystem Valuation of Agricultural Land Use Change

10.4018/978-1-7998-8331-9.ch006 ◽

2022 ◽

pp. 90-126

Author(s):

Dimple Behal

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Land Use Change ◽

Urban Areas ◽

Agricultural Land ◽

Policy Instruments ◽

Social Progress ◽

Agricultural Ecosystem ◽

Underlying Causes ◽

Rapid Pace

With the rapid pace of urbanization, land-use change is essential for economic and social progress; however, it does not come without costs. With such rapid urbanization, there comes pressure on the land and its resources, like that of food and timber production with a significant impact on the livelihood of millions of people. With the loss of agricultural land due to developmental activities, future agriculture would be very intensive. Therefore, it is likely with the existing pattern of allocating land uses for future development that we may lose the ecosystem services and highly productive agricultural lands. The value of these ecosystem services to agriculture is enormous and often underappreciated. The study focuses on identifying underlying causes of the land-use change, ecosystem services affected due to land-use change in peri-urban areas of Chandigarh using spatial mapping of affected ecosystem services and suggesting proposals for promoting agricultural ecosystem values using economically-informed policy instruments.

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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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