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Urban heat island (UHI) effect is a common urban problem in the process of rapid urbanization. It is also widely considered as one of the most critical global problems in the 21st century. The UHI effect poses a severe challenge to the sustainable development strategy of cities, the living environment of urban residents and the livability of cities. In the context of urban planning and landscape design, how to mitigate the UHI effect and how to help urban residents adapt are one of research topics on urban thermal environments. With Landsat thermal sensor images, this study retrieved urban land surface temperature (LST), and revealed spatiotemporal characteristics of surface urban heat island (SUHI) effect from the perspective of urban expansion and urban green infrastructure. The results indicate that the Hangzhou city SUHI effect was prominent. From 1990 to 2010, the high-grade SUHI effect area tended to move to the north, while from 2010 to 2018, the high-grade SUHI effect area tended to move to the south, which was consistent with the direction of urban expansion. Urban edge-expansion led to continuous expansion of urban scope, and urban center was dominated by infilling expansion. The core area of green infrastructure in the city center was small, and the ecological corridor was reduced, which intensified the SUHI effect of the city center. In different time periods, the relationship between SUHI effect, urban expansion and urban green infrastructure was different. The analysis results derived from this study were considered valuable for urban planners and landscape designers to alleviate the SUHI effect, build an ecological civilization city and construct a "livable city".
Peng Tian; Jialin Li; Luodan Cao; Ruiliang Pu; Zhongyi Wang; Haitao Zhang; Huilin Chen; Hongbo Gong. Assessing spatiotemporal characteristics of urban heat islands from the perspective of an urban expansion and green infrastructure. Sustainable Cities and Society 2021, 74, 103208 .
AMA StylePeng Tian, Jialin Li, Luodan Cao, Ruiliang Pu, Zhongyi Wang, Haitao Zhang, Huilin Chen, Hongbo Gong. Assessing spatiotemporal characteristics of urban heat islands from the perspective of an urban expansion and green infrastructure. Sustainable Cities and Society. 2021; 74 ():103208.
Chicago/Turabian StylePeng Tian; Jialin Li; Luodan Cao; Ruiliang Pu; Zhongyi Wang; Haitao Zhang; Huilin Chen; Hongbo Gong. 2021. "Assessing spatiotemporal characteristics of urban heat islands from the perspective of an urban expansion and green infrastructure." Sustainable Cities and Society 74, no. : 103208.
Ecosystem services (ESs) is a term used to describe the foundations of the well-being of human society, and several relevant studies have been carried out in this area. However, given the fact that the complex trade-offs/synergy relationships of ESs are a challenging area, studies on matching mechanisms for ES supply and demand are still rare. In this study, using the InVEST model, ArcGIS, and other professional tools, we first mapped and quantitatively evaluated the supply and demand of five ES types (water yield, soil conservation, carbon retention, food supply, and leisure and entertainment) in Hangzhou, China, based on land use, meteorology, soil, and socio-economic data. Then, we analyzed the matching characteristics between the supply and demand of these ESs and analyzed the complex trade-offs and synergy between the supply and demand of ESs and factors affecting ESs. The results of this analysis indicate that although the ES supply and demand of carbon retention tended to be out of balance (supply was less than demand), the supply and demand of the other four ES types (i.e., water yield, soil conservation, food supply, and leisure and entertainment) were in balance (supply exceeded demand). Finally, the spatial heterogeneity of the supply and demand of ESs in Hangzhou was significant, especially in urban areas in the northeast and mountainous areas in the southwest. The supply of ESs was based on trade-offs, whereas the demand of ESs was based on synergy. Our results further show that the supply and demand of ESs in the urban area in Hangzhou were out of balance, whereas the supply and demand of ESs in the western region were coordinated. Therefore, the linkage of ES flows between this urban area and the western region should be strengthened. This innovative study could provide useful information for regional land use planning and environmental protection.
Peng Tian; Jialin Li; Luodan Cao; Ruiliang Pu; Hongbo Gong; Haitao Zhang; Huilin Chen; Xiaodong Yang. Assessing Matching Characteristics and Spatial Differences between Supply and Demand of Ecosystem Services: A Case Study in Hangzhou, China. Land 2021, 10, 582 .
AMA StylePeng Tian, Jialin Li, Luodan Cao, Ruiliang Pu, Hongbo Gong, Haitao Zhang, Huilin Chen, Xiaodong Yang. Assessing Matching Characteristics and Spatial Differences between Supply and Demand of Ecosystem Services: A Case Study in Hangzhou, China. Land. 2021; 10 (6):582.
Chicago/Turabian StylePeng Tian; Jialin Li; Luodan Cao; Ruiliang Pu; Hongbo Gong; Haitao Zhang; Huilin Chen; Xiaodong Yang. 2021. "Assessing Matching Characteristics and Spatial Differences between Supply and Demand of Ecosystem Services: A Case Study in Hangzhou, China." Land 10, no. 6: 582.
Landscape degradation and fragmentation has taken place across the coastal area of China over the past decades due to complex interactions between natural and anthropogenic processes, which results in various negative environmental and ecological consequences. Therefore, understanding of the spatio-temporal dynamics and underlying determinants for landscape change is increasingly recognized as essential for land use planning and policy decision making towards socio-economic sustainable development. In this study, we aimed to examine the changing trends of annual landscape patterns along the Chinese coastal zones from 1992 to 2018. By means of quantile regression and grid-by-grid random forest regression, we then quantified the heterogeneous effects of responsible climate change and human activities on landscape patterns at the grid level. The results indicated that coastal areas across China in the whole landscape level has rapidly tended towards more fragmentated, declining aggregational, complex and irregular edge shaped landscape over the past 30 years. However, opposite evolution directions of landscape patterns were observed between urban fringe (less fragmentation and more aggregation) and remote areas far away from urban center (more fragmentation and less aggregation). High changing rate of landscape metrics generally occurred in areas adjacent to the center of major urban agglomeration. Averagely, more than 40% of significant fragmented landscape mainly caused by the growth of built-up lands. The contribution rate of urbanization also varied with changes in spatial positions and different quantiles. This study employed spatially explicit methodologies to explore the dynamic of coastal landscape and associated drivers, which filled the knowledge gaps related to landscape sustainability and coastal environmental planning and management from the perspective of time and space.
Ying Li; Yanwei Sun; Jialin Li. Heterogeneous effects of climate change and human activities on annual landscape change in coastal cities of mainland China. Ecological Indicators 2021, 125, 107561 .
AMA StyleYing Li, Yanwei Sun, Jialin Li. Heterogeneous effects of climate change and human activities on annual landscape change in coastal cities of mainland China. Ecological Indicators. 2021; 125 ():107561.
Chicago/Turabian StyleYing Li; Yanwei Sun; Jialin Li. 2021. "Heterogeneous effects of climate change and human activities on annual landscape change in coastal cities of mainland China." Ecological Indicators 125, no. : 107561.
Salt marshes are one of the most productive but vulnerable ecosystems on Earth; and due to the continued intensification of natural and anthropogenic pressures on them, accurate and timely information on the distribution of plant species in salt marshes is needed for effective coastal management. Time-series approaches have been widely applied to classify plant species; however, developing time-series with high spatial and temporal resolution over coastal zones remains challenging due to the influence caused by frequent cloud cover and periodic tidal fluctuations. In this study, aiming at the above challenges, we presented a saltmarsh vegetation classification method using phenological parameters derived from Sentinel-2 pixel-differential time-series (PDTS): first, a PDTS that each pixel has a different distribution of observations was constructed using a time-series cloud mask; second, a tidal filter determined by the threshold and frequency of the modified normalized difference water index (MNDWI) was used to exclude tide-related observations from the PDTS; third, phenological parameters that highlight the differences among salt marsh vegetation were extracted from a two-term Fourier fitting curve as classification features; and finally, the random forest algorithm was used for plant species classification with the assistance of sample data. Six common plant species (Spartina alterniflora, Phragmites australis, Suaeda salsa, Tamarix chinensis, Imperata cylindrica, and Scirpus mariqueter) from three representative coastal sites in China were analyzed. The major results were as follows: (1) The MNDWI demonstrated superior ability in identifying flooding pixels, with an overall accuracy of ~0.91. After tidal filtering, the R2 of the fitting curve for more than 70% of the vegetated salt marsh pixels was improved with an average increase of 0.113. (2) The six plant species exhibit unique phenological characteristics. In particular, P. australis has an advanced green-up season, 19–42 days earlier than that of the other plant species mentioned above, whereas S. alterniflora senesces one to two months later than the native plant species. (3) The average overall accuracy of the plant species classification based on the PDTS was 81.5%. Compared with a single-image-based classification, the PDTS-based classification demonstrated a ~ 5.1% improvement in overall accuracy, which is expected to serve the annual monitoring dynamics of the salt marsh.
Chao Sun; Jialin Li; Yongxue Liu; Yongchao Liu; Ruiqing Liu. Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series. Remote Sensing of Environment 2021, 256, 112320 .
AMA StyleChao Sun, Jialin Li, Yongxue Liu, Yongchao Liu, Ruiqing Liu. Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series. Remote Sensing of Environment. 2021; 256 ():112320.
Chicago/Turabian StyleChao Sun; Jialin Li; Yongxue Liu; Yongchao Liu; Ruiqing Liu. 2021. "Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series." Remote Sensing of Environment 256, no. : 112320.
Coastal wetland vegetation is crucial for providing multiple ecosystem services. However, accurate assessment of wetland vegetation is problematic due to the challenging coastal environment. Using Xiangshan Bay (XB) in China as a typical case study, we developed a time series biological phenological approach to classifying coastal wetland vegetation using Landsat time-series images from 1984 to 2018. The results demonstrate that the total vegetation area of coastal wetlands in XB in 2018 was ~85.3 km2. The interannual dynamics of coastal wetland vegetation area in XB in the last 35 years can be divided into three periods: increasing volatility (1984–1998), decreasing (1999–2004), and increasing volatility (2005–2018). Our results emphasize the potential of the use of the time-series biological phenological approach for monitoring coastal wetland vegetation, which can contribute to the sustainable management of coastal ecosystems.
Yongchao Liu; Yongxue Liu; Jialin Li; Chao Sun; Wenxuan Xu; Bingxue Zhao. Trajectory of coastal wetland vegetation in Xiangshan Bay, China, from image time series. Marine Pollution Bulletin 2020, 160, 111697 .
AMA StyleYongchao Liu, Yongxue Liu, Jialin Li, Chao Sun, Wenxuan Xu, Bingxue Zhao. Trajectory of coastal wetland vegetation in Xiangshan Bay, China, from image time series. Marine Pollution Bulletin. 2020; 160 ():111697.
Chicago/Turabian StyleYongchao Liu; Yongxue Liu; Jialin Li; Chao Sun; Wenxuan Xu; Bingxue Zhao. 2020. "Trajectory of coastal wetland vegetation in Xiangshan Bay, China, from image time series." Marine Pollution Bulletin 160, no. : 111697.
The successful launch of the Sentinel-2 constellation satellite, along with advanced cloud detection algorithms, has enabled the generation of continuous time series at high spatial and temporal resolutions, which is in turn expected to enable the classification of salt marsh vegetation over larger spatiotemporal scales. This study presents a critical comparison of vegetation index (VI) and curve fitting methods—two key factors for time series construction that potentially influence vegetation classification performance. To accomplish this objective, the stability of five different VI time series, namely Normalized Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI), Enhanced Vegetation Index (EVI), Green Normalized Difference Vegetation Index (GNDVI), and Water-Adjusted Vegetation Index (WAVI), was compared empirically; the suitability between three curve fitting methods, namely Asymmetric Gaussian (AG), Double Logistic (DL), and Two-term Fourier (TF), and VI time series was measured using the coefficient of determination, and the salt marsh vegetation separability among different combinations of VI time series and curve fitting methods (i.e., VI time series-based curve fitting model) was quantified using overall the Jeffries–Matusita distance. Six common types of salt marsh vegetation from three typical coastal sites in China were used to validate these findings, which demonstrate: (1) the SAVI performed best in terms of time series stability, while the EVI exhibited relatively poor time series stability with conspicuous outliers induced by the sensitivity to omitted clouds and shadows; (2) the DL method commonly resulted in the most accurate classification of different salt marsh vegetation types, especially when combined with the EVI time series, followed by the TF method; and (3) the SAVI/NDVI-based DL/TF model demonstrated comparable efficiency for classifying salt marsh vegetation. Notably, the SAVI/NDVI-based DL model performed most strongly for high latitude regions with a continental climate, whilst the SAVI/NDVI-based TF model appears to be better suited to mid- to low latitude regions dominated by a monsoonal climate.
Chao Sun; Jialin Li; Luodan Cao; Yongchao Liu; Song Jin; Bingxue Zhao. Evaluation of Vegetation Index-Based Curve Fitting Models for Accurate Classification of Salt Marsh Vegetation Using Sentinel-2 Time-Series. Sensors 2020, 20, 5551 .
AMA StyleChao Sun, Jialin Li, Luodan Cao, Yongchao Liu, Song Jin, Bingxue Zhao. Evaluation of Vegetation Index-Based Curve Fitting Models for Accurate Classification of Salt Marsh Vegetation Using Sentinel-2 Time-Series. Sensors. 2020; 20 (19):5551.
Chicago/Turabian StyleChao Sun; Jialin Li; Luodan Cao; Yongchao Liu; Song Jin; Bingxue Zhao. 2020. "Evaluation of Vegetation Index-Based Curve Fitting Models for Accurate Classification of Salt Marsh Vegetation Using Sentinel-2 Time-Series." Sensors 20, no. 19: 5551.
The influence of terrestrial and marine input has dramatically changed eutrophication in coastal seas over the past 100 years. In this study, Zhoushan coastal sea (ZCS) is taken as a study area. We studied ZCS as it is a sink of the temporal and spatial variation of primary productivity, dominant species of algae, and the variation of provenance in this area over the past 100 years. We performed analysis using three sediment cores and the carbon and silicon deposition records. The analysis results demonstrate that: (1) The primary productivity in the northern area of the ZCS close to the Yangtze Estuary was the highest comparatively, but it declined slightly before 2010. The primary productivity in the southern area had an increasing trend over the past 100 years. The value of total organic carbon (TOC) in the northern area was relatively high, with an average value of 0.532% over the past 100 years, with a decreasing trend in recent years. On the contrary, TOC in the southern area was relatively low, but it was increased dramatically after 1995. (2) Diatom might play an important role in the variations. The biogenic silica (BSi) and TOC in the northern area showed a synchronous declining trend, while the BSi/TOC ratio did not change significantly. This indicates the algae population structure in this area was relatively stable over the past 100 years. The BSi/TOC ratio decreased continuously in the southern area, indicating that the dominance of diatoms was decreasing continuously. (3) The variation of diatom dominance in this area might have a great relationship with the change of nutrients’ provenance. A mean value of stable carbon isotope (δ13C) in the north of Zhoushan was −23.46‰, indicating that the terrestrial-source input was the highest. (4) The change of provenance in the study area was quite different. This illustrates that the terrestrial input impacted the largest area of ZCS while marine input became dominant in the offshore area.
Hao Xu; Shangwei Jiang; Jialin Li; Ruiliang Pu; Jia Wang; Wanghai Jin; Longbin Sha; Dongling Li. Biogenic Silica and Organic Carbon Records in Zhoushan Coastal Sea over the Past One Hundred Years and Their Environmental Indications. International Journal of Environmental Research and Public Health 2020, 17, 3890 .
AMA StyleHao Xu, Shangwei Jiang, Jialin Li, Ruiliang Pu, Jia Wang, Wanghai Jin, Longbin Sha, Dongling Li. Biogenic Silica and Organic Carbon Records in Zhoushan Coastal Sea over the Past One Hundred Years and Their Environmental Indications. International Journal of Environmental Research and Public Health. 2020; 17 (11):3890.
Chicago/Turabian StyleHao Xu; Shangwei Jiang; Jialin Li; Ruiliang Pu; Jia Wang; Wanghai Jin; Longbin Sha; Dongling Li. 2020. "Biogenic Silica and Organic Carbon Records in Zhoushan Coastal Sea over the Past One Hundred Years and Their Environmental Indications." International Journal of Environmental Research and Public Health 17, no. 11: 3890.
It is widely acknowledged that urban form significantly affects urban thermal environment, which is a key element to adapt and mitigate extreme high temperature weather in high-density urban areas. However, few studies have discussed the impact of physical urban form features on the land surface temperature (LST) from a perspective of comprehensive urban spatial structures. This study used the ordinary least-squares regression (OLS) and random forest regression (RF) to distinguish the relative contributions of urban form metrics on LST at three observation scales. Results of this study indicate that more than 90% of the LST variations were explained by selected urban form metrics using RF. Effects of the magnitude and direction of urban form metrics on LST varied with the changes of seasons and observation scales. Overall, building morphology and urban ecological infrastructure had dominant effects on LST variations in high-density urban centers. Urban green space and water bodies demonstrated stronger cooling effects, especially in summer. Building density (BD) exhibited significant positive effects on LST, whereas the floor area ratio (FAR) showed a negative influence on LST. The results can be applied to investigate and implement urban thermal environment mitigation planning for city managers and planners.
Yanwei Sun; Chao Gao; Jialin Li; Run Wang; Jian Liu. Quantifying the Effects of Urban Form on Land Surface Temperature in Subtropical High-Density Urban Areas Using Machine Learning. Remote Sensing 2019, 11, 959 .
AMA StyleYanwei Sun, Chao Gao, Jialin Li, Run Wang, Jian Liu. Quantifying the Effects of Urban Form on Land Surface Temperature in Subtropical High-Density Urban Areas Using Machine Learning. Remote Sensing. 2019; 11 (8):959.
Chicago/Turabian StyleYanwei Sun; Chao Gao; Jialin Li; Run Wang; Jian Liu. 2019. "Quantifying the Effects of Urban Form on Land Surface Temperature in Subtropical High-Density Urban Areas Using Machine Learning." Remote Sensing 11, no. 8: 959.
Jialin Li; Ruiliang Pu; Qixiang Yuan; Yongchao Liu; Baixiang Feng; Qiandong Guo; Yimei Jiang; Mengyao Ye; Li. Spatiotemporal Change Patterns of Coastlines in Xiangshan Harbor (Zhejiang, China) During the Past 40 Years. Journal of Coastal Research 2018, 346, 1418 -1428.
AMA StyleJialin Li, Ruiliang Pu, Qixiang Yuan, Yongchao Liu, Baixiang Feng, Qiandong Guo, Yimei Jiang, Mengyao Ye, Li. Spatiotemporal Change Patterns of Coastlines in Xiangshan Harbor (Zhejiang, China) During the Past 40 Years. Journal of Coastal Research. 2018; 346 ():1418-1428.
Chicago/Turabian StyleJialin Li; Ruiliang Pu; Qixiang Yuan; Yongchao Liu; Baixiang Feng; Qiandong Guo; Yimei Jiang; Mengyao Ye; Li. 2018. "Spatiotemporal Change Patterns of Coastlines in Xiangshan Harbor (Zhejiang, China) During the Past 40 Years." Journal of Coastal Research 346, no. : 1418-1428.
Detailed analysis of the evolution characteristics of landscape ecological risk is crucial for coastal sustainable management and for understanding the potential environmental impacts of a man-made landform landscapes (MMLL). As a typical open coastal wetland, large-scale human activities (e.g., tidal reclamation, fishery activities, wind farm construction, and port construction) have substantially affected the evolution of the coastal ecological environment. Previous landscape ecological risk assessment studies have documented the effectiveness of assessing the quality of ecological environment processes. However, these studies have either focused on the noncoastal zone, or they have not considered the evolution of the spatial characteristics and ecological risk evolution of the landscape at an optimal scale. Here, we present a landscape ecological risk pattern (LERP) evolution model, based on two successive steps: first, we constructed an optimal scale method with an appropriate extent and grain using multi–temporal Landsat TM/OLI images acquired in the years 2000, 2004, 2008, 2013 and 2017, and then we calculated landscape ecological risk indices. Based on this model, the entire process of the spatiotemporal evolution of ecological risk patterns of the open coastal wetlands in Jiangsu, China, was determined. The principal findings are as follows: (1) The main landscape types in the study area are tidal flats and farmland, and the main features of the landscape evolution are a significant increase in aquafarming and a substantial decrease in the tidal flat area, while the landscape heterogeneity increased; (2) In the past 20 years, the areas of low and relatively low ecological risk in the study region were greatly reduced, while the areas of medium, relatively high, and high ecological risk greatly increased; the areas of high-grade ecological risk areas are mainly around Dongtai and Dafeng; (3) The area of ecological risk from low-grade to high-grade occupied 71.75% of the study area during 2000–2017. During the previous periods (2000–2004 and 2004–2008), the areas of low-grade ecological risk were transformed to areas of middle-grade ecological risk area, while during the later periods (2008–2013 and 2013–2017) there was a substantial increase in the proportion of areas of high-grade ecological risk. Our results complement the official database of coastal landscape planning, and provide important information for assessing the potential effects of MMLL processes on coastal environments.
Yongchao Liu; Yongxue Liu; Jialin Li; Wanyun Lu; Xianglin Wei; Chao Sun. Evolution of Landscape Ecological Risk at the Optimal Scale: A Case Study of the Open Coastal Wetlands in Jiangsu, China. International Journal of Environmental Research and Public Health 2018, 15, 1691 .
AMA StyleYongchao Liu, Yongxue Liu, Jialin Li, Wanyun Lu, Xianglin Wei, Chao Sun. Evolution of Landscape Ecological Risk at the Optimal Scale: A Case Study of the Open Coastal Wetlands in Jiangsu, China. International Journal of Environmental Research and Public Health. 2018; 15 (8):1691.
Chicago/Turabian StyleYongchao Liu; Yongxue Liu; Jialin Li; Wanyun Lu; Xianglin Wei; Chao Sun. 2018. "Evolution of Landscape Ecological Risk at the Optimal Scale: A Case Study of the Open Coastal Wetlands in Jiangsu, China." International Journal of Environmental Research and Public Health 15, no. 8: 1691.
Gains and losses in ecosystem service values (ESV) in coastal zones in Zhejiang Province during rapid urbanization were analyzed in terms of land-use changes. Decision-making on coastal development based on ESV estimation is significant for the sustainable utilization of coastal resource. In this study, coastal land-use changes in Zhejiang Province during rapid urbanization were discussed based on remote-sensing derived land-use maps created in the years 1990, 2000 and 2010. The ESV changes in coastal zones in Zhejiang Province from 1990 to 2010 were estimated by using the established ESV estimation model. The analysis results demonstrate the following: (1) with the continuous acceleration of urbanization, land-use types in coastal zones in Zhejiang Province changed significantly from 1990 to 2010, demonstrated by considerable growth of urban construction land and reduction of forest land and farmland; (2) in the study period, the total ESV in coastal zones in Zhejiang Province continuously decreased in value from RMB 35.278 billion to 29.964 billion, a reduction of 15.06%; (3) in terms of the spatial distribution of ESV, the ESVs in coastal zones in Zhejiang Province were generally converted from a higher ESV to a lower ESV; (4) estimates of ESV for the three years 1990, 2000 and 2010 appear to be relatively stable; and (5) land-use intensity in coastal zones in Zhejiang Province continuously increased during the 20 years. The spatial distribution of land-use intensity was consistent with that of the ESV change rate. Disordered land-use changes from forestland and farmland to urban construction land was a major cause of ESV loss.
Luodan Cao; Jialin Li; Mengyao Ye; Ruiliang Pu; Yongchao Liu; Qiandong Guo; Baixiang Feng; Xiayun Song. Changes of Ecosystem Service Value in a Coastal Zone of Zhejiang Province, China, during Rapid Urbanization. International Journal of Environmental Research and Public Health 2018, 15, 1301 .
AMA StyleLuodan Cao, Jialin Li, Mengyao Ye, Ruiliang Pu, Yongchao Liu, Qiandong Guo, Baixiang Feng, Xiayun Song. Changes of Ecosystem Service Value in a Coastal Zone of Zhejiang Province, China, during Rapid Urbanization. International Journal of Environmental Research and Public Health. 2018; 15 (7):1301.
Chicago/Turabian StyleLuodan Cao; Jialin Li; Mengyao Ye; Ruiliang Pu; Yongchao Liu; Qiandong Guo; Baixiang Feng; Xiayun Song. 2018. "Changes of Ecosystem Service Value in a Coastal Zone of Zhejiang Province, China, during Rapid Urbanization." International Journal of Environmental Research and Public Health 15, no. 7: 1301.
We present a new reconstruction of summer sea-surface temperature (SST) variations over the past 5000 years based on a diatom record from gravity core DA06-139G, from Vaigat Strait in Disko Bugt, West Greenland. Summer SST varied from 1.4 to 5 °C, and the record exhibits an overall decreasing temperature trend. Relatively high summer SST occurred prior to 3000 cal. a BP, representing the end of the Holocene Thermal Maximum. After the beginning of the “Neoglaciation” at approximately 3000 cal. a BP, Vaigat Strait experienced several hydrographical changes that were closely related to the general climatic and oceanographic evolution of the North Atlantic region. Distinct increases in summer SST in Vaigat Strait occurred from 2000 to 1600 cal. a BP and from 1200 to 630 cal. a BP, and are consistent with the “Roman Warm Period” and the “Mediaeval Warm Period” in the North Atlantic region. The summer SST decreased significantly during 1500~1200 cal. a BP and 630~50 cal. a BP, corresponding, respectively, to the Northeast Atlantic cooling episodes known as the “European Dark Ages” and “Little Ice Age”. Spectral and cross-correlation analyses indicate that centennial-scale oscillations in summer SST are superimposed on the long-term trend. The dominant periodicities are centered at 529, 410, and 191 years, which are close to the ubiquitous 512 and 206-year 14C cycle, suggesting that solar forcing may play an important role in summer SST variability in Disko Bugt.
Dongling Li; Longbin Sha; Jialin Li; Hui Jiang; Yanguang Liu; Yanni Wu. Summer Sea-Surface Temperatures and Climatic Events in Vaigat Strait, West Greenland, during the Last 5000 Years. Sustainability 2017, 9, 704 .
AMA StyleDongling Li, Longbin Sha, Jialin Li, Hui Jiang, Yanguang Liu, Yanni Wu. Summer Sea-Surface Temperatures and Climatic Events in Vaigat Strait, West Greenland, during the Last 5000 Years. Sustainability. 2017; 9 (5):704.
Chicago/Turabian StyleDongling Li; Longbin Sha; Jialin Li; Hui Jiang; Yanguang Liu; Yanni Wu. 2017. "Summer Sea-Surface Temperatures and Climatic Events in Vaigat Strait, West Greenland, during the Last 5000 Years." Sustainability 9, no. 5: 704.