Rapid warming of Large Marine Ecosystems

The need to understand local effects of global climate change is most urgent in the Large Marine Ecosystems (LMEs) since marine ecosystem-based management requires information on the LME scale. Reported here is a study of sea surface temperature (SST) change in the World Ocean LMEs in 1957–2006 that revealed strong regional variations in the rate of SST change. The rapid warming in 1982–2006 was confined to the Subarctic Gyre, European Seas, and East Asian Seas. These LMEs warmed at rates 2–4 times the global mean rate. The most rapid warming was observed in the land-locked or semi-enclosed European and East Asian Seas (Baltic Sea, North Sea, Black Sea, Japan Sea/East Sea, and East China Sea) and also over the Newfoundland–Labrador Shelf. The Indian Ocean LMEs’ warming was slow, while two major upwelling areas – California and Humboldt Currents – experienced a slight cooling. The Subarctic Gyre warming was likely caused by natural variability related to the North Atlantic Oscillation. The extremely rapid surface warming in the enclosed and semi-enclosed European and East Asian Seas surrounded by major industrial/population agglomerations may have resulted from the observed terrestrial warming directly affecting the adjacent coastal seas. Regions of freshwater influence in the European and East Asian Seas seem to play a special role in modulating and exacerbating global warming effects on the regional scale.     

The Large Marine Ecosystem network approach to WSSD targets

Since the 1992 United Nations Conference on Environment and Development, considerable movement has been made by international organizations engaged in ocean affairs towards adopting ecosystem-based assessment and management practices. A decade later, at the World Summit on Sustainable Development (WSSD), another significant milestone was reached with the support, by over 100 countries, for a Plan of Implementation that agreed on several specific ecosystem-related targets including: achievement of “substantial” reductions in land-based sources of pollution by 2006; introduction of the ecosystems approach to marine resource assessment and management by 2010; designation of a network of marine protected areas by 2012; and the maintenance and restoration of fish stocks to maximum sustainable yield levels by 2015. An international financial mechanism, the Global Environment Facility (GEF), is assisting developing countries in meeting the WSSD targets by supporting Large Marine Ecosystem (LME) assessment and management projects. Of the 29 LMEs for which published case study information is available on analyses of principal forces driving changes in biomass yields, fishing effort was the primary forcing mechanism in 14 LMEs, climate forcing was the principal factor in 13 LMEs, eutrophication in one case and the data were inconclusive in another. Fishing effort was a secondary driver of change in biomass yields in the 13 LMEs driven by climate forcing. Mitigating actions for reducing fishing effort to promote recovery of lost biomass yield is proving successful in one case study. Actions for improving forecasts of oceanographic conditions affecting fish stocks are underway in four GEF-supported LME projects (e.g., Humboldt Current, Canary Current, Guinea Current and Benguela Current); measures to assess and manage excessive fishing effort are planned for eight LME projects, eutrophication reduction and control in another; and six LMEs with relatively stable decadal biomass yields appear suitable for mandating precautionary total allowable catch levels. The GEF/LME projects include countries that contributed to 45% of global marine biomass yields in 1999.     

A comparison of three marine ecosystems surrounding the Korean peninsula: Responses to climate change

This study uses a comparative approach to examine responses of marine ecosystems to climatic regime shifts. The three seas surrounding the Korean peninsula, the Japan/East Sea, the East China Sea and the Yellow Sea represent three contiguous but distinct ecosystems. Sampling has been carried out by the National Fisheries Research and Development Institute of South Korea since 1965, using the same methods in all three seas. Sampling was generally synoptic. Amplitude time series of 1st EOF modes for temperature, salinity, zooplankton biomass and concentrations of four major zooplankton taxa were used to determine whether the three marine ecosystems respond in a similar manner to climate variations. Temporal patterns of the variables were strongly similar among the three seas at decadal time scales, but very weakly similar at interannual scales. All three seas responded to a climatic regime shift that occurred in 1989. Temperature, zooplankton biomass and copepod concentrations increased in the late 1980s or early 1990s in all three seas. Concentrations of amphipods, chaetognaths and euphausiids also increased in the Japan/East Sea and the East China Sea, but not the Yellow Sea. The Yellow Sea ecosystem differs strongly from the other two seas, and water exchange between the Yellow Sea and the East China Sea is much weaker than that between the East China Sea and Japan/East Sea. Spatial patterns of zooplankton determined by the EOF analysis were closely related to currents and fronts in each of the three seas.     

Simulation of the seasonal thermal structure in the Bohai Sea

The seasonal thermal structure in the Bohai Sea are examined with a three-dimensional boroclinic primitive equation model for shelf sea.The evolution of the seasonal thermal stratification is well simulated.The stratification appears early in April,first in the area off Qinhuangdao and it is well developed in the middle of May.It intensifies with synoptic and neap-spring fluctuations throughout the summer and reaches its maximum in the middle of July.Eventually,it is destroyed at the end of September.There are cold water belts between well-mixed and stratified regions.They are loGated on the mixed side of tidal fronts,and coincide with the isolines for a temperature difference of 1-2℃ between surface and bottom.The sea surface temperature (SST) distribution shows local maxima at the head of three bays and to the south of Qinhuangdao during the summer.The Bohai Sea responds to the variability in the atmospheric forcing and in tides with the synoptic and neap-spring variations of SST,as well as in the stratification and in variable positions of tidal fronts.     

黄海暖流源区海表面温度锋面的结构及季节内演变

利用1985～2002年月均和每8天平均的AVHRR Pathfinder卫星海表面温度数据,分析了黄海暖流源区海表面温度锋面的分布特征及其季节和季节内演变过程的规律.分析结果表明,黄海暖流源区海表面温度锋面只在冬季及其前后出现,且是一个包含南北两支锋面的锋面系统,其北支锋面位于33°～34°N之间,大体呈东西走向,南支锋面沿长江浅滩边缘,呈西北东南走向,作者称之为黄海暖流源区锋面.该锋面从11月下旬于济州岛西部生成并向西北方向扩展,至1,2月份达到最大程度,于2月下旬后向东南方向退缩并在3月份至5月份之间消失.在该锋面系统的生长期和衰退期,其南北两支锋面有时于西端连接在一起而形成指向西北的舌状锋面.黄海暖流源区锋面的演变过程与黄海暖流的演变过程紧密相关,也对黄东海的质量和热量交换有重要影响.     

A governance perspective on the large marine ecosystem approach

The large marine ecosystem (LME) concept and approach has had a global impact on marine ecosystem-based management. The LME approach provides a framework for assessing and monitoring LMEs and is based on five modules: productivity, fish and fisheries, pollution and ecosystem health, socioeconomics, and governance. It appears that the LME approach is also being used to structure interventions to bring about change. Its appropriateness for the latter purpose is questioned. The major concerns are that the LME approach is not consistent with current thinking about enabling governance and its compartmentalized structure does not facilitate effective governance intervention. Current thinking on good governance suggests that it is more appropriate to approach governance interventions at the LME scale through multi-level governance policy cycles.     

Thermal fronts and cross-frontal heat flux in the southern Huanghai Sea and the East China Sea

Synoptic features in/around thermal fronts and cross-frontal heat fluxes in the southern Huanghai./Yellow Sea and East China Sea （HES） were examined using the data collected from four airborne expendable bathythermograph surveys with horizontal approxmately 35 km and vertical 1 m（from the surface to 400 m deep） spacings. Since the fronts are strongly affected by HES current system, the synoptic thermal features in/around them represent the interaction of currents with surrounding water masses. These features can not be obtained from climatological data. The identified thermal features are listed as follows ： （ 1 ） multiple boundaries of cold water, asymmetric thermocline intrusion, locally-split front by homogeneous water of approxmately 18 ℃, and mergence of the front by the Taiwan Warm Current in/around summertime southern Cheju - Changjiang/Yangtze front and Tsushima front; （2） springtime frontal eddy-like feature around Tsushima front; （3） year-round cyclonic meandering and summertime temperature-inversion at the bottom of the surface mixed layer in Cheju - Tsushima front; and （4） multistructure of Kuroshio front. In the Kuroshio front the mean variance of vertical temperature gradient is an order of degree smaller than that in other HES fronts. The southern Cheju- Changjiang front and Cheju -Tsushima front are connected with each other in the summer with comparable cross-frontal temperature gradient. However, cross-frontal heat flux and lateral eddy diffusivity are stronger in the southern Cheju - Changjiang front. The cross-frontal heat exchange is the largest in the mixing zone between the modified Huanghai Sea bottom cold water and the Tsushima Warm Current, which is attributable to enhanced thermocline intrusions.     

东海海洋锋分类的初步探讨

基于笔者近年来对海洋锋的研究（１９９０；１９９２；１９９５）［１，５～７］，本文初次探讨了东海海洋锋的分类问题。同时，对各类海洋锋的海洋学特征及其形成机理做了分析比较。并给出了各种海洋锋的垂直结构模式图。     

Spatial and Temporal Scale Variations of Sea Surface Temperature in the East Sea Using NOAA/AVHRR Data

Sea surface temperature fields in the East Sea are composed of various spatial structures such as eddies, fronts, filaments, turbulent-like features and other mesoscale variations associated with the oceanic circulations of the East Sea. These complex SST structures have many spatial scales and evole with time. Semi-monthly averaged SST distributions based on extensive satellite observations of SSTs from 1990 through 1995 were constructed to examine the characteristics of their spatial and temporal scale variations by using statistical methods of multi-dimensional autocorrelation functions and spectral analysis. Two-dimensional autocorrelation functions in the central part of the East Sea revealed that most of the spatial SST structures are anisotropic in the shape of ellipsoids with minor axes of about 90–290 km and major axes of 100–400 km. Two dimensional spatial scale analysis demonstrated a consistent pattern of seasonal variation that the scales appear small in winter and spring, increase gradually to summer, and then decrease again until the spring of the next year. These structures also show great spatial inhomogeneity and rapid temporal change on time scales as short as a semi-month in some cases. The slopes in spectral energy density spectra of SSTs show characteristics quite similar to horizontal and geostrophic turbulence. Temporal spectra at each latitude are demonstrated by predominant peaks of one and two cycles per year in all regions of the East Sea, implying that SSTs present very strong annual and semi-annual variations. This revised version was published online in August 2006 with corrections to the Cover Date.