Analyzing coastal wetland change in the Yancheng National Nature Reserve, China

Ke, Chang‐Qing; Dong, Zhang; Wang, Fuqiang; Shu-xing, Chen; Schmullius, Christance; Boerner, W.-M.; Wang, Hui

doi:10.1007/s10113-010-0130-8

Cited by 75 publications

(37 citation statements)

References 59 publications

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“…Visual interpretation of land use types based on elements such as color, tone, texture, form, size, presence of shadows, and the location of infrastructures [45,46] has been the main approach for identifying land use changes because it can provide more accurate land use maps compared with automatic classification [47,48]. In this study, the land use data series were acquired by interpreting the basic land use map in 2010 and detecting the changing parts between adjacent time periods of Landsat images manually.…”

Section: Satellite Image Selection and Pre-processingmentioning

confidence: 99%

Understanding Land Use and Land Cover Dynamics from 1976 to 2014 in Yellow River Delta

Zhang

Feng

et al. 2017

Land

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Long-term intensive land use/cover changes (LUCCs) of the Yellow River Delta (YRD) have been happening since the 1960s. The land use patterns of the LUCCs are crucial for bio-diversity conservation and/or sustainable development. This study quantified patterns of the LUCCs, explored the systematic transitions, and identified wetland change trajectory for the period 1976-2014 in the YRD. Landsat imageries of 1976, 1984, 1995, 2006, and 2014 were used to derive nine land use classes. Post classification change detection analysis based on enhanced transition matrix was applied to identify land use dynamics and trajectory of wetland change. The five cartographic outputs for changes in land use underlined major decreases in natural wetland areas and increases in artificial wetland and non-wetland, especially aquafarms, salt pans and construction lands. The systematic transitions in the YRD were wetland degradation, wetland artificialization, and urbanization. Wetland change trajectory results demonstrated that the main wetland changes were wetland degradation and wetland artificialization. Coastline change is the subordinate reason for natural wetland degradation in comparison with human activities. The results of this study allowed for an improvement in the understanding of the LUCC processes and enabled researchers and planners to focus on the most important signals of systematic landscape transitions while also allowing for a better understanding of the proximate causes of changes.

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Section: Satellite Image Selection and Pre-processingmentioning

confidence: 99%

Understanding Land Use and Land Cover Dynamics from 1976 to 2014 in Yellow River Delta

Zhang

Feng

et al. 2017

Land

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“…However, reed fields have been modified to paddy fields and fishery ponds in recent years [50,51], which has led to discussions about the need for conservation in this context. On the other hand, the invasion of common reeds (Phragmites australis) has reduced ecosystem quality due to a change in the hydroperiod of salt marshes and its planform [52][53][54].…”

Section: Physical Indicators Affecting Molluscan Faunamentioning

confidence: 99%

The Use of Molluscan Fauna as Model Taxon for the Ecological Classification of River Estuaries

Itsukushima

Morita

Shimatani

2017

Water

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River estuaries are important aquatic environments characterized by large environmental gradients in their water quality, riverbed material, and microtopography in the longitudinal and transverse directions. The geography or habitats in river estuaries differ depending on the energy from the tide, waves, and river; therefore, the biota inhabiting river estuaries vary depending on the river estuary type. In view of this, for effective conservation in river estuaries, there is a need for information about potential habitats and biota based on objective data about the river estuary type. The objective of this study thus was to classify river estuaries by their molluscan fauna and physical indicators to reveal the relationship between molluscan fauna and the physical environment. The classification results using physical indicators indicated three types of river estuaries (wave energy-dominated group, tide energy-dominated group, and low tide and wave energy group). This classification result was similar to the classification of molluscan fauna. Therefore, it was suggested that molluscan fauna is extremely useful as a variable representing the river estuary environment. From the comparison between molluscan fauna and the physical environment, some rivers were not classified into the same group in the classification of molluscan fauna, despite them having similar physical environments. Some of these rivers with a molluscan fauna that diverged from expectations had undergone channel modification, which is expected to have caused a shift in this fauna group. These results suggest that this approach could be used to identify rivers that have been degraded by human activities.

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“…It is an alluvial plain with a typical intertidal mudflat coast [6]. The main land use types are ocean, tidal flat, saltmarsh, aquaculture pond, cropland, river, and built-up land.…”

Section: Study Areamentioning

confidence: 99%

“…Reclamation can alleviate the pressure of land loss, but it may cause natural disturbances, such as soil and water pollution, nutrient over-enrichment, and reduction in biodiversity [3],and may bring irreparable damage to ecosystems [4,5]. The spatial patterns of coastal landscapes have become fragmented and heterogeneous under enormous pressure from rapid economic development and population growth [6].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Land Use Changes in a Coastal Reclaimed Area with Dynamic Shorelines

et al. 2017

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Abstract:Reclamation is capable of creating abundant land to alleviate the pressure from land shortages in China. Nevertheless, coastal reclamation can lead to severe environmental degradation and landscape fragmentation. It is quite important to monitor land use and cover change (LUCC) in coastal areas, assess coastal wetland change, and predict land use requirements. The siltation of tidal flats will result in the dynamic growth and continuous expansion of coastal areas. Therefore, the process of land change in coastal areas is different from that under the fixed terrestrial boundary condition. Cellular Automata and Multi-Agent System (CA-MAS) models are commonly used to simulate LUCC, and their advantages have been well proven under the fixed boundary condition. In this paper, we propose CA-MAS combined with a shoreline evolution forecast (CA-MAS-SEF) model to simulate the land change in coastal areas. Meanwhile, the newly increased area, because of the dynamic growth of tidal flats, is considered in the simulation process. The simulation results using the improved method are verified, and compared with observed patterns using spatial overlay. In comparison with simulation results that do not consider the expansion of tidal flats, the Kappa coefficient estimated while considering the dynamic growth of tidal flats is improved from 65.9% to 70.5%, which shows that the method presented here can be applied to simulate the LUCC in growing coastal areas.

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Analyzing coastal wetland change in the Yancheng National Nature Reserve, China

Cited by 75 publications

References 59 publications

Understanding Land Use and Land Cover Dynamics from 1976 to 2014 in Yellow River Delta

Understanding Land Use and Land Cover Dynamics from 1976 to 2014 in Yellow River Delta

The Use of Molluscan Fauna as Model Taxon for the Ecological Classification of River Estuaries

Simulation of Land Use Changes in a Coastal Reclaimed Area with Dynamic Shorelines

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