10 research outputs found
Spatiotemporal variations in vegetation cover on the Loess Plateau, China, between 1982 and 2013: possible causes and potential impacts
Vegetation is a key component of the ecosystem and plays an important role in water retention and resistance to soil erosion. In this study, we used a multiyear normalized difference vegetation index (NDVI) dataset (1982-2013) and corresponding datasets for observed climatic variables to analyze changes in the NDVI at both temporal and spatial scales. The relationships between NDVI, climate change, and human activities were also investigated. The annual average NDVI showed an upward trend over the 32-year study period, especially in the center of the Loess Plateau. NDVI variations lagged behind monthly temperature changes by approximately 1Â month. The contribution of human activities to variations in NDVI has become increasingly significant in recent years, with human activities responsible for 30.4% of the change in NDVI during the period 2001-2013. The increased vegetation coverage has reduced soil erosion on the Loess Plateau in recent years. It is suggested that natural restoration of vegetation is the most effective measure for control of erosion; engineering measures that promote this should feature in the future governance of the Loess Plateau
Environmental impact assessments of the Xiaolangdi Reservoir on the most hyperconcentrated laden river, Yellow River, China
The Yellow River is the most hyperconcentrated sediment-laden river in the world. Throughout recorded history, the Lower Yellow River (LYR) experienced many catastrophic flood and drought events. To regulate the LYR, a reservoir was constructed at Xiaolangdi that became operational in the early 2000s. An annual water-sediment regulation scheme (WSRS) was then implemented, aimed at flood control, sediment reduction, regulated water supply, and power generation. This study examines the eco-environmental and socioenvironmental impacts of Xiaolangdi Reservoir. In retrospect, it is found that the reservoir construction phase incurred huge financial cost and required large-scale human resettlement. Subsequent reservoir operations affected the local geological environment, downstream riverbed erosion, evolution of the Yellow River delta, water quality, and aquatic biodiversity. Lessons from the impact assessment of the Xiaolangdi Reservoir are summarized as follows: (1) The construction of large reservoirs is not merely an engineering challenge but must also be viewed in terms of resource exploitation, environmental protection, and social development; (2) long-term systems for monitoring large reservoirs should be established, and decision makers involved at national policy and planning levels must be prepared to react quickly to the changing impact of large reservoirs; and (3) the key to solving sedimentation in the LYR is not Xiaolangdi Reservoir but instead soil conservation in the middle reaches of the Yellow River basin. Proper assessment of the impacts of large reservoirs will help promote development strategies that enhance the long-term sustainability of dam projects
Evolution of the Yellow River Delta and its relationship with runoff and sediment load from 1983 to 2011
Morphological response of the Lower Yellow River to the operation of Xiaolangdi Dam, China
The morphodynamics of the Lower Yellow River (LYR) has been impacted by intense dam-induced changes over the past few decades. Here we present results on the morphological impacts produced on the LYR by the construction and operation of Xiaolangdi Dam, whose construction was completed in 1999. We used multi-temporal remotely sensed images and geomorphological parameters, and developed a systematic and universal river morphology extraction framework to investigate changes in the planform of the LYR between 1987 and 2017. The morphological changes were assessed by identifying seven sub-reaches (R1 to R7) along ∼860 km of the LYR. The multichannel upper reaches of the LYR exhibited more marked changes in anabranching and braid-channel ratio, sinuosity, and lateral migration rate than the lower reaches, which are characterized by a single channel pattern. Sandbars in the upper reaches (R1–R3) underwent degradation after the beginning of operation of Xiaolangdi Dam, while the reverse was seen in the lower reaches (R6–R7). The area of overlap between the 1987 channel mask and the channel mask at different times throughout the study decreased gradually over the study period, indicating intense channel migration. The operation of Xiaolangdi Dam prevented the river from running dry but also from suffering floods, while extending the duration of the low/medium stage flows. These actions account for the morphological changes in the LYR. Despite the fact that effective discharge did not change significantly after the Xiaolangdi Dam began operating, it became compressed into a shorter range of annual discharge variability (i.e., larger low-level discharges and shorter rising-smaller floods stages). Our integrated assessment shows a significant amount of water flow energy has been consumed by multiple planform adjustments in the upper reaches of LYR, while local siltation is the main issue in the sinuous but laterally stable lower reaches.Published versio
Record-Breaking Heat in Northwest China in July 2015: Analysis of the Severity and Underlying Causes
Would the ‘real’ observed dataset stand up? A critical examination of eight observed gridded climate datasets for China
This research compared and evaluated the spatio-temporal similarities and differences of eight widely used gridded datasets. The datasets include daily precipitation over East Asia (EA), the Climate Research Unit (CRU) product, the Global Precipitation Climatology Centre (GPCC) product, the University of Delaware (UDEL) product, Precipitation Reconstruction over Land (PREC/L), the Asian Precipitation Highly Resolved Observational (APHRO) product, the Institute of Atmospheric Physics (IAP) dataset from the Chinese Academy of Sciences, and the National Meteorological Information Center dataset from the China Meteorological Administration (CN05). The meteorological variables focus on surface air temperature (SAT) or precipitation (PR) in China. All datasets presented general agreement on the whole spatio-temporal scale, but some differences appeared for specific periods and regions. On a temporal scale, EA shows the highest amount of PR, while APHRO shows the lowest. CRU and UDEL show higher SAT than IAP or CN05. On a spatial scale, the most significant differences occur in western China for PR and SAT. For PR, the difference between EA and CRU is the largest. When compared with CN05, CRU shows higher SAT in the central and southern Northwest river drainage basin, UDEL exhibits higher SAT over the Southwest river drainage system, and IAP has lower SAT in the Tibetan Plateau. The differences in annual mean PR and SAT primarily come from summer and winter, respectively. Finally, potential factors impacting agreement among gridded climate datasets are discussed, including raw data sources, quality control (QC) schemes, orographic correction, and interpolation techniques. The implications and challenges of these results for climate research are also briefly addressed
Assessment of CMIP5 climate models and projected temperature changes over Northern Eurasia
Assessing the performance of climate models in surface air temperature (SAT) simulation and projection have received increasing attention during the recent decades. This paper assesses the performance of the Coupled Model Intercomparison Project phase 5 (CMIP5) in simulating intra-annual, annual and decadal temperature over Northern Eurasia from 1901 to 2005. We evaluate the skill of different multi-model ensemble techniques and use the best technique to project the future SAT changes under different emission scenarios. The results show that most of the general circulation models (GCMs) overestimate the annual mean SAT in Northern Eurasia and the difference between the observation and the simulations primarily comes from the winter season. Most of the GCMs can approximately capture the decadal SAT trend; however, the accuracy of annual SAT simulation is relatively low. The correlation coefficient R between each GCM simulation and the annual observation is in the range of 0.20 to 0.56. The Taylor diagram shows that the ensemble results generated by the simple model averaging (SMA), reliability ensemble averaging (REA) and Bayesian model averaging (BMA) methods are superior to any single GCM output; and the decadal SAT change generated by SMA, REA and BMA are almost identical during 1901–2005. Heuristically, the uncertainty of BMA simulation is the smallest among the three multi-model ensemble simulations. The future SAT projection generated by the BMA shows that the SAT in Northern Eurasia will increase in the 21st century by around 1.03 °C/100 yr, 3.11 °C/100 yr and 7.14 °C/100 yr under the RCP 2.6, RCP 4.5 and RCP 8.5 scenarios, respectively; and the warming accelerates with the increasing latitude. In addition, the spring season contributes most to the decadal warming occurring under the RCP 2.6 and RCP 4.5 scenarios, while the winter season contributes most to the decadal warming occurring under the RCP 8.5 scenario. Generally, the uncertainty of the SAT projections increases with time in the 21st century
Impact assessment of climate change and human activities on net runoff in the Yellow River Basin from 1951 to 2012
Functional degradation of the water–sediment regulation scheme in the lower Yellow River: Spatial and temporal analyses
Cloning and Characterization of Prisilkin-39, a Novel Matrix Protein Serving a Dual Role in the Prismatic Layer Formation from the Oyster Pinctada fucata*S⃞
Molluscs form their shells out of CaCO3 and a matrix of
biomacromolecules. Understanding the role of matrices may shed some light on
the mechanism of biomineralization. Here, a 1401-bp full-length cDNA sequence
encoding a novel matrix protein was cloned from the mantle of the bivalve
oyster, Pinctada fucata. The deduced protein (Prisilkin-39), which
has a molecular mass of 39.3 kDa and an isoelectric point of 8.83, was fully
characterized, and its role in biomineralization was demonstrated using both
in vivo and in vitro crystal growth assays. Prisilkin-39 is
a highly repetitive protein with an unusual composition of Gly, Tyr, and Ser
residues. Expression of Prisilkin-39 was localized to columnar
epithelial cells of the mantle edge, corresponding to the calcitic prismatic
layer formation. Immunostaining in situ and immunodetection in
vitro revealed the presence of a characteristic pattern of Prisilkin-39
in the organic sheet and in sheaths around the prisms. Prisilkin-39 binds
tightly with chitin, an insoluble polysaccharide that forms the highly
structured framework of the shell. Antibody injection in vivo
resulted in dramatic morphological deformities in the inner shell surface
structure, where large amounts of CaCO3 were deposited in an
uncontrolled manner. Moreover, Prisilkin-39 strictly prohibited the
precipitation of aragonite in vitro. Taken together, Prisilkin-39 is
the first protein shown to have dual function, involved both in the chitinous
framework building and in crystal growth regulation during the prismatic layer
mineralization. These observations may extend our view on the rare group of
basic matrices and their functions during elaboration of the molluscan
shell