Landscape change detection of the newly created wetland in Yellow River Delta

Tian, Yun; Liu, Ji Yuan; Jørgensen, Sven Erik; Ye, Qin Hua

doi:10.1016/s0304-3800(02)00391-5

Cited by 98 publications

(57 citation statements)

References 27 publications

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“…The Yellow River Delta (YERD) is one of the most active regions of land-ocean interaction and is an overwintering and breeding site for migrating birds in inland of northeast Asia and the western Pacific Rim (Yue et al 2003). However, nowadays, the delta today was under huge pressures both from both industrial and agricultural development.…”

Section: Introductionmentioning

confidence: 99%

Distribution of heavy metals in soils of the Yellow River Delta: concentrations in different soil horizons and source identification

Zhang

Chen

et al. 2014

J Soils Sediments

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Purpose The Yellow River Delta, an active land-ocean interaction area, will develop into a large eco-economic region in East China during the coming decade. It is necessary to assess the geochemical features of heavy metals in the soils. The objectives of this research were to evaluate the concentrations and distribution of heavy metals (Cr, Ni, Cu, Zn, Pb, and Cd) in soil profiles of the area and to identify their sources. Materials and methods Horizon samples were collected based on pedogenic features from bottom to top in each profile to a depth of 120 cm and a total of 92 samples were collected. The sampling sites were grouped into four lines from inland to coastal area with three land use types (cotton field, cereal field, and wetland). The concentrations of Cr, Ni, Cu, Zn, Pb, and Cd were measured by inductively coupled plasma-mass spectrometry. Iron oxide fractions in the soil were extracted by oxalate-oxalic acid and dithionite-citrate-bicarbonate. X-ray diffraction (XRD) was used to determine the mineral composition of the soils. Multivariate statistical analysis and historical data were employed to identify the possible sources of these heavy metals.Results and discussion The mean concentrations of heavy metals were elevated along the Yellow River region and in the southern part of the delta; however, they were generally lower than the Chinese guideline values. As for the depth distribution of heavy metals in soil profiles, the maximum values of Cr, Ni, Cu, Zn, and Cd in middle horizon of cotton field were almost twice than those in surface horizon. The iron oxides and XRD analysis indicated that the trace elements accumulation appeared to be related with the contents of crystalline iron oxide and layer silicates. Historical data from suspended sediments of the Yellow River and principal component analysis (PCA) implied that most of the metals (Cr, Ni, Cu, and Zn) were sourced from natural alluviation and sedimentation. Conclusions The Yellow River Delta soils were slightly polluted by heavy metals the Yellow River Delta. The special pedogenic horizon characterized by higher iron oxides and layered silicates minerals in the middle and lower part of the soil profile was found with heavy metals enrichment, which required to be studied further. Suspended sediments transported by the Yellow River were suggested to be one of the major sources for the heavy metals accumulation in the basal soils of this region.

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Section: Introductionmentioning

confidence: 99%

Distribution of heavy metals in soils of the Yellow River Delta: concentrations in different soil horizons and source identification

Zhang

Chen

et al. 2014

J Soils Sediments

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“…For instance, oil well-driven landscape fragmentation has limited the habitat availability for area sensitive species, the redcrown crane (Grus japonensis), one of the state-listed endangered birds in this delta (Cao and Liu, 2007). Wetland habitat fragmentation or loss has increased the distances between desirable habitat (resource) patches and lead to impairment of patch connectivity, constraining the movements of individuals and hampering the conservation of this population (Pascual-Hortal and Saura, 2006;Yue et al, 2003). Therefore, stronger efforts focusing on oil well development within and near protected areas are needed.…”

Section: Discussionmentioning

confidence: 99%

“…The massive silt from erosion of the Loess Plateau created the continuous, fast-growing natural delta at the mouth of the Yellow River (Fang et al, 2005;Liu and Drost, 1997). The current course of the Yellow River was formed from artificially changing the old course from Diaokouhe River to Qingshuigou Gully in 1976 (Yue et al, 2003). The Yellow River Delta NR was established in 1992, with a core area of 58,000 ha, a buffer area of 13,000 ha and an experimental area of 82,000 ha (Fang et al, 2005;Yue et al, 2003).…”

Section: Tablementioning

confidence: 99%

“…The current course of the Yellow River was formed from artificially changing the old course from Diaokouhe River to Qingshuigou Gully in 1976 (Yue et al, 2003). The Yellow River Delta NR was established in 1992, with a core area of 58,000 ha, a buffer area of 13,000 ha and an experimental area of 82,000 ha (Fang et al, 2005;Yue et al, 2003). The NR consists of two separate parts: the Diaokouhe NR (north) and the Yellow River Mouth NR (south) (Fig.…”

Section: Tablementioning

confidence: 99%

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Fragmentation effects of oil wells and roads on the Yellow River Delta, North China

Wang

2011

Ocean & Coastal Management

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“…The patch connectivity index is formulated as (Yue et al, 2003(Yue et al, , 2004b where t is the variable of time; I j (t) is patch number of land cover type j; A ij (t) is area of the ith patch of land cover type j; A j (t) is total area of land cover type j; (X ij (t), Y ij (t)) is latitude and longitude coordinate of the geometric center of the ith patch of land cover type j; (x j (t),y j (t)) is the mean center of land cover type j. Shift distance and direction of land cover j in the period from t to t + 1 are respectively formulated as,…”

Section: Models Related To Spatial Pattern Of Land Covermentioning

confidence: 99%

Scenarios of land cover in China

Tian

Fan

Liu

2007

Global and Planetary Change

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A method for surface modeling of land cover change (SMLC) is developed on the basis of establishing transition probability matrixes between land cover types and HLZ types. SMLC is used to simulate land cover scenarios of China for the years 2039, 2069 and 2099, for which HLZ scenarios are first simulated in terms of HadCM3 climatic scenarios that are downscaled in zonal model of spatial climate change in China. This paper also analyzes spatial distribution of land cover types, area change and mean center shift of each land cover type, ecotope diversity, and patch connectivity under the land cover scenarios. The results show that cultivated land would decrease and woodland would expand greatly with climatic change, which coincides with consequences expected by implementation of Grain-for-Green policy. Nival area would shrink, and desertification area would expand at a comparatively slow rate in future 100 years. Climate change would generally cause less ecotope diversity and more patch connectivity. Ecosystems in China would have a pattern of beneficial cycle after efficient ecological conservation and restoration. However, if human activities would exceed regulation capacity of ecosystems themselves, the ecosystems in China might deteriorate more seriously.

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Landscape change detection of the newly created wetland in Yellow River Delta

Cited by 98 publications

References 27 publications

Distribution of heavy metals in soils of the Yellow River Delta: concentrations in different soil horizons and source identification

Distribution of heavy metals in soils of the Yellow River Delta: concentrations in different soil horizons and source identification

Fragmentation effects of oil wells and roads on the Yellow River Delta, North China

Scenarios of land cover in China

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