Those hotspots/coldspots mostly occurred in the South Sandwich Islands, the Antarctic Peninsula, and the west of the Prydz Bay. From 1926 to 2016, krill abundance, the percentage of krill abundance in the hotspot area and the size of hotspot area had generally reduced, but the percentage of krill abundance in coldspot area and the size of coldspot area were increasing, while krill abundance in coldspot area decreased. It is a feasible approach to build an irregular triangle network to measure the size of hotspot/coldspot area and utilize hotspot analysis with 95% confidence to analyze the spatial-temporal pattern of krill distribution.The migration and settlement of oyster larvae significantly affect the distribution, recruitment, establishment and ecological services of oyster populations. We investigated the variations of Crassostrea sikamea larvae abundances between the two water layers and between the two experimental sites (seed bed and spawning bed) in Xiangshan Bay within a tidal cycle (9 sampling times), and explored the spatial patterns in larval settlement and spat growth at three intertidal zones (top, T; middle, M and bottom, B) of both experimental sites by a field settlement experiment. At the seed bed and spawning bed, oyster larvae abundance at the surface water significantly changed with sampling time. At the seed bed, oyster larvae abundance (20.8±5.6 larvae·L-1) was greatest at the high flood tide, and was significantly greater than that at the other eight sampling times. Contrasting results were found at the spawning bed where oyster larvae abundance was the lowest (0.1±0.1 larvae·L-1) at the high flood tide. At each site, oyster larvae abundance at the bottom water did not change within the tidal cycle. At the seed bed, total abundance, survival rate and shell height of the settled oysters significantly varied across intertidal zones, ranking as B>T=M for total oyster abundance, and T>M>B for survival rate and shell height. There was no significant difference in live spat abundance among intertidal zones. At the spawning bed, the total and live abundances, survival rate and shell height of the settled oysters had no difference among intertidal zones. Our results indicate that oyster larvae commonly settle at the high flood tide, and the abundance of settled spats are similar between seed bed and spawning bed.To explore the impact of urban functional zones on surface soil metal pollution, we analyzed the concentrations and pollution status of eight heavy metals (i.e., Mn, Ni, Cr, Pb, Cd, Zn, Cu, and As) in surface soils from various urban functional zones of Shenzhen City. Nemero index and potential ecological hazard indices were used to quantify the ecological risk levels of different heavy metals in different urban functional zones. Moreover, we spatially classified ecological risk zones for soil heavy metal pollution. Results showed that 1) concentrations of Cd, Zn, Cu, and As in the surface soil were heavily impacted by human activities, while those of Mn, Ni, Cr, and Pb were not. High-intensity urbanization and industrialization with the constraints of physical environment were identified as the determining factors for regional and functional variation of heavy metal pollution. 2) Pb, Cd, Zn, and Cu had high pollution risks in the surface soils, with Pb having the highest risk, which necessitated further management and control of heavy metals. The overall level of heavy metal pollution risk in the surface soils of Shenzhen was higher than that of other cities in China. 3) Nemero index and potential ecological hazard indices had different emphases in terms of assessing the risk level of heavy metals. Those indices showed different performances in the risk assessment of single heavy metal, overall ecological risks in the different urban functional zones, and ecological risk classification of heavy metal pollution in the urban surface soils. We suggest that those indices should be combined to provide more holistic information about urban heavy metal pollution.Ecological land is essential to sustainable development of urban agglomeration. Based on the results of remote sensing image interpretation, we analyzed the spatial-temporal evolution of ecological land in 32 research units of ecological land in Wuhan urban agglomeration in 2000-2005, 2005-2010 and 2010-2015, using the land use transition matrix, exploratory regression analysis, the ordinary least squares (OLS) model, and geographically weighted regression (GWR) model. Then, the best regression model was selected after perfecting the traditional index system of influencing factors by data of the location and quantitative information of companies, enterprises and life services, etc., and conducting exploratory regression analysis. click here Finally, we analyzed the influencing factors and spatial differentiation rules of different research periods with GWR model. The results showed that, from 2000 to 2015, the amount of transition from ecological land use to non-ecological land use in the urban agglomeration showed an i patterns was dominated by gradual transition in different directions in space, with other patterns such as “V” distribution. The effects of spatial factors were significant. The potential information of spatial data enhanced the interpretation of ecological land evolution within the urban agglomeration.Understanding the relationships among different ecosystem services is the basis for optimizing ecological protection strategy and achieving sustainable ecological management. Based on the ecosystem services and their spatial patterns in Southwest China, we analyzed tradeoffs and synergies of five ecosystem regulation services (water retention, soil retention, carbon sequestration, biodiversity conservation, and water purification) and five provision services (rice production, wheat production, corn production, vegetable production, and fruit production) using statistical analysis, ArcGIS technology and GeoDa software. Further, we identified the win-win areas of ecosystem servi-ces through overlay analysis, and discussing the influence of ecosystem types on win-win pattern. There were synergistic relationships among different types of regulation or provision services in Southwest China, while there were both synergies and trade-offs between regulation and provision services. The high win-win areas of the total ecosystem services in Southwest China were mainly distributed in Qionglai Mountains, Ailao Mountains, Dayao Mountains, as well as Lujiang River and Lancang River basins.