China’s wetland change (1990–2000) determined by remote sensing

Gong, Peng; Niu, Zhenguo; Cheng, Xiao; Zhao, Kun; Zhou, Demin; Guo, Jinyun; Lu, Liang; Wang, Xiaofeng; Li, Dandan; Huang, Huabing; Wang, Yi; Wang, Kun; Li, WenNing; Wang, Xianwei; Ying, Qing; Yang, Zhenzhong; Ye, Yufang; Zhan, Li; Zhuang, Dafang; Chi, Yaobin; Hui-zhen, Zhou; Yan, Jun

doi:10.1007/s11430-010-4002-3

Cited by 214 publications

(115 citation statements)

References 8 publications

Supporting

Mentioning

109

Contrasting

Unclassified

Order By: Relevance

“…As with Arctic permafrost wetlands, alpine wetlands are quite sensitive to global climate changes (Jorgenson et al 2001;Wang et al 2001;An 2003;McGuire et al 2003). Making up the majority of China's swamp wetland, alpine wetland systems are dominated by alpine swamp wetland and frost lake wetland types (Lang 1999;An 2003;Gong et al 2010). Given the push to protect the plateau's biodiversity and implement water conservation measures in the headwaters region of the Yangtze and Yellow Rivers, what has happened to alpine wetland ecosystems under the last 40 years' climatic changes and how such ecological changes have impacted upon the headwaters' hydrological processes are important considerations.…”

Section: Introductionmentioning

confidence: 99%

Changes in alpine wetland ecosystems of the Qinghai–Tibetan plateau from 1967 to 2004

Zhang

Wang

2010

Environ Monit Assess

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Changes in alpine wetland ecosystems of the Qinghai–Tibetan plateau from 1967 to 2004

Zhang

Wang

2010

Environ Monit Assess

View full text Add to dashboard Cite

“…From 1992 to 1995, the policy of "to promote conversion from dry farmland to paddy" in northeast China promoted conversion of dry farmland to paddy [75,76]. In the late 1990s, as the great ecological value of wetlands was recognized, the government began to take action to protect wetlands and some policies such as "returning farmland to wetland" were published [75,77,78] Additional, some policies such as "returning farmland to forestland", and "returning farmland to grassland" were put into place. All these policies affected the LULCC pattern in this region.…”

Section: Discussionmentioning

confidence: 99%

The Effects of Spatiotemporal Changes in Land Degradation on Ecosystem Services Values in Sanjiang Plain, China

et al. 2016

View full text Add to dashboard Cite

Sanjiang Plain has undergone dramatic land degradation since the 1950s, which has caused negative effects on ecosystems services and sustainability. In this study, we used trajectory analysis as well as the Lorenz curve, Gini coefficient and relative land use suitability index (R) to analyze spatiotemporal changes of land degradation from 1954 to 2013 and to make a preliminary estimation of the role of human activities in observed environmental changes using a five-stage LULC data. This study also explored the effect of land degradation on the values and structure of ecosystem services. Our results indicated that more than 70% of marsh area originally present in the study area has been lost, whereas less than 30% was preserved. Dry farmland and paddy increased rapidly at the expense of marsh, forest and grassland. Land use structure became more unsuitable during the past 60 years. Compared with natural factors, human activities played a dominant role (89.67%) in these changes. This dramatic land degradation caused the significant loss of ecosystem services values and the changes in the structure of ecosystem services. These results confirmed the effectiveness of combining temporal trajectory analysis, the Lorenz curve/Gini coefficient and the R index in analyzing spatiotemporal changes in progressive land degradation. Also, these findings highlight the necessity of separating dry farmland from paddy when studying land degradation changes and the effects on ecosystem services in regions where dry farmland has often been converted to paddy.

show abstract

“…L λmax is the maximum spectral radiance that is scaled to QCAL λmax . L λmin is the minimum spectral [14]. Each classification system has its specific purpose.…”

Section: Data Used For Wetlands Mappingmentioning

confidence: 99%

“…This is inextricably linked to the development of agriculture, the lack of awareness of the importance of wetlands, and government policies and laws [7,14,15,93,94]. The Yellow River Delta wetlands were no exception; in the middle stage of wetland change (stage 2: 1984-1995), because of the lack of ecological protection awareness and the excessive pursuit of economic interests, a large area of wetland was converted into farmland, aquaculture ponds, salt pans and other uses ( Table 2).…”

Section: Conservation Policies and Projectsmentioning

confidence: 99%

Four Decades of Estuarine Wetland Changes in the Yellow River Delta Based on Landsat Observations Between 1973 and 2013

Zhu

Zhang

Huang

2018

Water

View full text Add to dashboard Cite

Yellow River Delta wetlands are essential for the migration of endangered birds and breeding. The wetlands, however, have been severely damaged during recent decades, partly due to the lack of wetland ecosystem protection by authorities. To have a better historical understanding of the spatio-temporal dynamics of the wetlands, this study aims to map and characterize patterns of the loss and degradation of wetlands in the Yellow River Delta using a time series of remotely sensed images (at nine points in time) based on object-based image analysis and knowledge transfer learning technology. Spatio-temporal analysis was conducted to document the long-term changes taking place in different wetlands over the four decades. The results showed that the Yellow River Delta wetlands have experienced significant changes between 1973 and 2013. The total area of wetlands has been reduced by 683.12 km 2 during the overall period and the trend of loss continues. However, the rates and trends of change for the different types of wetlands were not the same. The natural wetlands showed a statistically significant decrease in area during the overall period (36.04 km 2 ·year −1 ). Meanwhile, the artificial wetlands had the opposite trend and showed a statistically significant increase in area during the past four decades (18.96 km 2 ·year −1 ). According to the change characteristics revealed by the time series wetland classification maps, the evolution process of the Yellow River Delta wetlands could be divided into three stages: (1) From 1973From -1984, basically stable, but with little increase; (2) from 1984-1995, rapid loss; and (3) from 1995-2013, slow loss. The area of the wetlands reached a low point around 1995, and then with a little improvement, the regional wetlands entered a slow loss stage. It is believed that interference by human activities (e.g., urban construction, cropland creation, and oil exploitation) was the main reason for wetland degradation in the Yellow River Delta over the past four decades. Climate change also has long-term impacts on regional wetlands. In addition, due to the special geographical environment, the hydrological and sediment conditions and the location of the Yellow River mouth also have a significant influence on the evolution process of the wetlands.

show abstract

China’s wetland change (1990–2000) determined by remote sensing

Cited by 214 publications

References 8 publications

Changes in alpine wetland ecosystems of the Qinghai–Tibetan plateau from 1967 to 2004

Changes in alpine wetland ecosystems of the Qinghai–Tibetan plateau from 1967 to 2004

The Effects of Spatiotemporal Changes in Land Degradation on Ecosystem Services Values in Sanjiang Plain, China

Four Decades of Estuarine Wetland Changes in the Yellow River Delta Based on Landsat Observations Between 1973 and 2013

Contact Info

Product

Resources

About