Land use changes and socio-economic development strongly deteriorate river ecosystem health in one of the largest basins in China

2018 ◽  
Vol 616-617 ◽  
pp. 376-385 ◽  
Author(s):  
Xian Cheng ◽  
Liding Chen ◽  
Ranhao Sun ◽  
Peiru Kong
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Ecosystem Health ◽  
Land Use Changes ◽  
River Ecosystem ◽  
Socio Economic Development

scholarly journals Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development?

2016 ◽  
Author(s):  
Mark Honti ◽  
Nele Schuwirth ◽  
Jörg Rieckermann ◽  
Christian Stamm
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Land Use ◽  
Economic Development ◽  
Integrated Water Resources Management ◽  
Quality Parameters ◽  
Catchment Management ◽  
Model Structure ◽  
Resources Management ◽  
Socio Economic Development

Abstract. Catchments are complex systems where water quantity, quality and the provided ecological services are determined by interacting physical, chemical, biological, economic, and social factors. The awareness of these interactions led to the prevailing catchment management paradigm of Integrated Water Resources Management. The design and evaluation of solutions for integrated water resources management requires to predict changes of local or regional water quality, which requires integrated approach for modeling too. On one hand, integrated models have to be comprehensive enough to cover the aspects relevant for management decisions, allow for mapping of global change processes – as climate change, population growth, migration, and socio-economic development – to the regional and local contexts. On the other hand, models have to be sufficiently simple and fast enough to apply proper methods of uncertainty analysis, which can consider model structure deficits and propagate errors through the chain of submodels. Here, we present an integrated catchment model satisfying both objectives. The conceptual "iWaQa" model was developed to support the integrated management of small streams. It can predict both traditional water quality parameters like nutrients and a wide set of organic micropollutants originating from plant and material protection products. Due to the model's simplicity, it allows for a full, propagative analysis of predictive uncertainty, including certain structural and input errors. The usefulness of the model is demonstrated by predicting future water quality in a small catchment with mixed land use in the Swiss Plateau. The focus of our study is the change of water quality over the next decades driven by climate change, population growth or decline, socio-economic development and the implementation of management strategies for improving water quality. Our results indicate that input and model structure uncertainties are the most influential factors on certain water quality parameters and in these cases the uncertainty of modeling is already very high for the present conditions. Nevertheless, a proper quantification of today's uncertainty can make the management fairly robust for the foreseen range of possible evolution into the next decades. With a time-horizon of 2050, it seems that human land use and management decisions have a larger influence on water quality than climate change. However, the analysis of single climate model chains indicates that the importance of climate grows when a certain climate prediction is considered instead of the ensemble forecast.

scholarly journals Analysis of Climate and Land Use Changes Impacts on Land Degradation in the North China Plain

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Zhihui Li ◽  
Xiangzheng Deng ◽  
Fang Yin ◽  
Cuiyuan Yang
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Land Degradation ◽  
North China Plain ◽  
North China ◽  
Land Use Changes ◽  
Land Quality ◽  
The North ◽  
The North China Plain ◽  
Land Improvement

Land degradation is a complex process which involves both the natural ecosystem and the socioeconomic system, among which climate and land use changes are the two predominant driving factors. To comprehensively and quantitatively analyze the land degradation process, this paper employed the Normalized Difference Vegetation Index (NDVI) as a proxy to assess land degradation and further applied the binary panel logit regression model to analyze the impacts of the driving factors on land degradation in the North China Plain. The results revealed that an increase in rainfall and temperature would significantly and positively contribute to the land improvement, and conversion from cultivated land to grassland and forest land showed positive relationship with land improvement, while conversion to built-up area will lead to land degradation. Besides, human agricultural intensification represented by fertilizer utilization will help to improve the land quality. The economic development may exert positive impacts on land quality to alleviate land degradation, although the rural economic development and agricultural production will exert negative impacts on the land and lead to land degradation. Infrastructure construction would modify the land surface and further resulted in land degradation. The findings of the research will provide scientific information for sustainable land management.

scholarly journals Identifying the spatial scale of land use that most strongly influences overall river ecosystem health score

2012 ◽  
Vol 22 (8) ◽  
pp. 2188-2203 ◽  
Author(s):  
Fran Sheldon ◽  
Erin E. Peterson ◽  
Ed L. Boone ◽  
Suzanne Sippel ◽  
Stuart E. Bunn ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Scale ◽  
Ecosystem Health ◽  
River Ecosystem ◽  
Health Score

scholarly journals Spatial injustice in the formation of land use territories in united communities

2020 ◽  
Vol 75 (4) ◽  
pp. 81-98
Author(s):  
O. L. Popova ◽  
◽  
◽  
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Population Density ◽  
Land Tenure ◽  
Rural Areas ◽  
Local Governments ◽  
Large Scale ◽  
The State ◽  
Land Resources ◽  
Socio Economic Development

The author revealed the injustices in the territories formation of the united territorial communities (UTC) under the local self-government reform, which are manifested in different, uneven volumes of their land use and the resource basis in general for local socio-economic development. The methodological approach used by the authorities in determining the capacity of united communities in their formation (in terms of compliance with the criteria – the area and the population density), led to the fact that in rural areas with low population density they had to form large UTCs to reach specific parameters by population. The hypothesis that territorially large UTCs are capable is ambiguous: on the one hand, land tenure and land use is a resource for socio-economic development of communities, on the other – in a large area the cost of providing essential services to the population in remote villages increases together with the administrative and other costs. Paper proves that large-scale rural UTCs should become objects of the state support as the “rural areas in unfavourable conditions” under the State Strategy for Regional Development for 2021–2027. The author justifies injustices in the centralization of powers on disposal of land resources. The land decentralization as a transfer of relevant powers to UTC local governments will be finally completed, according to the Decree of the President of Ukraine “On some measures to accelerate reforms in the field of land relations” № 449 from 15.10.2020, which will contribute to orderliness in this area and filling local budgets. It is also advisable within the UTCs to give internal communities the right to dispose of their economic territory’s land resources in these communities’ interests. The paper shows discriminatory aspects of administrative reformatting of 120 voluntarily formed and functioning UTCs, according to the Government’s long-term plans for 2020: by recognizing them as insufficiently capable, they should join other communities or unite into larger UTCs.

scholarly journals Climate Change Policy Implications of Sustainable Development Pathways in Korea at Sub-National Scale

2020 ◽  
Vol 12 (10) ◽  
pp. 4310
Author(s):  
Yeora Chae ◽  
Seo Hyung Choi ◽  
Yong Jee Kim
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Economic Development ◽  
Climate Change Policy ◽  
Climate Change Impacts ◽  
Future Climate Change ◽  
Climate Scenarios ◽  
Mitigation And Adaptation ◽  
Change Policy ◽  
Socio Economic Development

Climate action is goal 13 of UN’s 17 Sustainable Development Goals (SDG). Future impacts of climate change depend on climatic changes, the level of climate change policy, both mitigation and adaptation, and socio-economic status and development pathways. To investigate the climate change policy impact of socio-economic development pathways, we develop three pathways. Climate change affects socio-economic development in many ways. We interpret global storylines into South Korean contexts: Shared Socio-economic Pathway 1 (SSP1), SSP2, and SSP3 for population, economy, and land use. SSP elements and proxies were identified and elaborated through stakeholder participatory workshops, demand survey on potential users, past trends, and recent national projections of major proxies. Twenty-nine proxies were quantified using sector-specific models and downscaled where possible. Socio-economic and climate scenarios matrixes enable one to quantify the contribution of climate, population, economic development, and land-use change in future climate change impacts. Economic damage between climate scenarios is different in SSPs, and it highlights that SSPs are one of the key components for future climate change impacts. Achieving SDGs generates additional incentives for local and national governments as it can reduce mitigation and adaptation policy burden.

Evaluation and zoning of various urban land spaces based on restrictive indicators: the case of Shanghai, China

2017 ◽  
Vol 14 (4) ◽  
pp. 307-317
Author(s):  
Hefeng Wang ◽  
Yuan Cao ◽  
Xinxia Liu ◽  
Yantao Yang
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Industrial Development ◽  
Plate Theory ◽  
Land Development ◽  
Urban Land ◽  
Urban Land Use ◽  
Content Type ◽  
Socio Economic Development ◽  
Short Plate

Purpose Using Shanghai as an example, the purpose of this paper is to perform grade evaluation and zoning for different land use spaces by GIS by identifying the major restrictive factors in current socio-economic development. Design/methodology/approach Based on short plate theory, 11 major restrictive indicators that will restrict socio-economic development in Shanghai are identified, and urban land is divided into four subspaces and the restrictive grade evaluation of urban land subspace is achieved with GIS spatial analysis; then, land development zoning is processed according to the results of the evaluation. Findings In all, 11 major restrictive indicators that will restrict socio-economic development in Shanghai are identified. The restrictive grades of the agricultural production, urban construction and ecological protection subspaces are mainly common, weak and weaker, and the relatively strong restrictive grade of industrial development subspace is mainly concentrated in the more developed industrial districts (counties). The areas of the common and good regions of constructive development and ecological development zones account for 87.4 and 98.3 per cent of each total area, respectively, and urban land still has significant development potential in Shanghai. Originality/value This paper proposes various urban land space evaluations and zoning strategies based on restrictive indicators and perspectives, enriching the ideas and methods of urban land use evaluation.

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