基于海洋资源环境承载力的海上油田环境保护管理研究

文章结合《资源环境承载能力监测预警技术方法(试行)》,通过分析海洋资源环境承载能力与海上油田环境保护管理的相关性,提出了海上油田全生命周期环境保护管理的新思路。同时结合海上油田的项目特点,探讨了现阶段海洋资源环境承载力监测预警技术在功能区划、管控要求和监测预警中可能存在的不协调、不一致和不断变化的问题,并提出了统一用海类型及其管控要求、差异化政策措施和动态分析的建议。     

量子无线通信技术在海洋环境监测中的应用

以量子技术为基础,利用光子基本粒子的量子纠缠原理,由量子态携带在线实时海洋环境监测数据信息,构建基于量子无线通信的海洋环境监测系统。该系统在无线通信中可确保数据的安全性、系统性、及时性和准确性,提高信息化和灵活化水平,可为海洋环境规划、环境管理、环境治理等提供全面安全可靠的监测数据。     

三种凡纳滨对虾池塘养殖模式环境因子变化和养殖效益的分析

研究了3种凡纳滨对虾池塘养殖模式环境因子变化情况和对养殖效益的分析。实验分为3种不同的养殖模式:对虾单养组、鱼虾混养A组、鱼虾混养B组。结果表明:pH变化范围在8.40~9.06之间,其中对虾单养组pH较之两组鱼虾混养组略高,最高值达9.06;COD变化范围在101~211之间,其中对虾单养组COD较之两组鱼虾混养组略高,范围在132~211之间;氨氮和亚硝酸盐氮浓度为对虾单养组>鱼虾混养A组>鱼虾混养B组;异养菌数目和弧菌数目,随着养殖的进行呈现逐渐增加的趋势,最大值分别为对虾单养组1.1×106 CFU/mL、2.0×103 CFU/mL,鱼虾混养A组1.45×106 CFU/mL、1.80×103 CFU/mL,鱼虾混养B组1.20×106 CFU/mL、1.56×103 CFU/mL;养殖效益上,总产值、纯利润、亩利润、投入产出比均呈现出鱼虾混养B组>鱼虾混养A组>对虾单养组。由此可见,凡纳滨对虾和鱼类混养,可以在保证水质的前提下,提高凡纳滨对虾养殖规格,提高投入产出比,增加养殖效益,是一种相较于凡纳滨对虾单独养殖优越的养殖模式;而不同规格和数量的鱼类和不同数量凡纳滨对虾的混养,又会产生不同的养殖效益。     

基于面板数据的海洋环境污染对海洋经济发展影响的实证研究

文章基于我国沿海11个省(自治区、直辖市)海洋环境和海洋经济的面板数据,将海洋产业结构和海洋产业劳动力要素投入作为控制变量,构建双对数面板数据模型,就海洋环境污染对海洋经济发展的影响进行实证分析。结果表明:海洋环境污染与海洋经济发展存在负相关关系,海洋产业结构与海洋经济发展存在正相关关系,海洋产业劳动力要素投入与海洋经济发展存在负相关关系。基于此,为促进海洋经济的可持续发展,提出加强海洋环境保护和治理、优化升级海洋产业结构以及培养和引进海洋专业人才的建议。     

Relict sand dredging for beach nourishment in the central Tyrrhenian Sea (Italy): effects on benthic assemblages

The aim of this study is to analyse the effects in space and time of relict sand-dredging activities on macrobenthic assemblages, in an area situated offshore Montalto di Castro (central Tyrrhenian Sea, Italy), and to analyse the recolonisation processes of macrobenthos in the dredged areas. The area in question is characterised by relict sand deposits (Holocenic paleo-beaches), used for beach nourishment along the Latium coast. The effects of sand extraction on benthic assemblages were investigated before, during and after three dredging operations. The sites analysed are located within the dredged areas (inside stations) and in neighbouring, not dredged, areas (outside stations). The results showed that the impact of sand extraction was confined to the dredged stations and to the areas in proximity to the dredged areas. During dredging activities, the structure of benthic assemblages within the impacted stations was characterised by low species richness and diversity. Both the direct removal of sediment and the re-suspension and consequent deposition of fine sediment affected benthic assemblages of the impacted stations. A few months after the dredgings, a recolonisation process was still observed at all the impacted stations. A gradual recolonisation process was observed at those stations affected by only one dredging, whereas a different recolonisation was observed at those stations affected by two dredgings over time. This study suggests that differences of re-colonisation processes of benthic assemblages are related to the intensity of dredging operations in terms of dredging frequency.     

Landscape-scale analysis of ecosystem risk and returns: A new tool for ICZM

Management of the coastal zone often focuses on “islands” of high value ecosystems, in terms of economic value or conservation. However, integrated management requires landscape-level analysis of all ecosystem values. The biodiversity portfolio analysis (BPA) method is derived from the logic used in share (equity) portfolio management in terms of balancing within a portfolio the returns with the risks. Optimising the returns from a share portfolio, or a suite of ecosystems in a landscape, is dependent on the relationship between the units in terms of risk and return. Three case studies are then presented to test the applicability of the BPA method at the international (North West Europe), regional (Durham Heritage Coast, UK) and local (part of South Uist, Outer Hebrides, UK) spatial scale. The Biodiversity Portfolio Analysis for NW Europe showed that risk and return were highly correlated in the studied Member States. The ranking of risk and return, with the highest first, was Ireland > UK > France=Netherlands > Belgium. For these Member States the risks to ecosystem service provision were positively correlated with GNI (r=0.97, P<0.01); suggesting that the higher the economic importance of coastal and marine resources in a Member State the more at risk the resources are. The regional and local case studies were more focussed on providing information on which to base Integrated Coastal Zone Management (ICZM) decision making; both case studies used stakeholder participation to determine risks and returns. The conclusions from these two case studies show how the BPA method can be useful in terms of setting ICZM priorities and in addressing local coastal issues. The BPA involves making a number of assumptions, however, it does provide coastal managers with a potential tool to strategically plan due to increased awareness of the interaction between the ecosystems in the portfolio.There is a need for such techniques, which involve stakeholder participation and which create objective outcomes, to support the implementation of ICZM.     

The restoration of fishing services and the conveyance of risk information in the Southern California Bight

Southern California's marine areas are heavily contaminated with dichloro-diphenyl-trichloroethane (DDT) and polychlorinated-biphenyls (PCBs), and fish consumption advisories (FCAs) have been issued throughout the region. Between 2002 and 2003, the Montrose Angler Survey, a large-scale survey of subsistence anglers, was developed and implemented on site in Orange and Los Angeles counties. This survey was intended to assist natural resource trustees in the development of restoration programs that will address injuries to natural resources and restore lost economic services for anglers, but the data were never fully analyzed. The trustees have shown a clear preference for ecological restoration programs that may take years to improve fishing services. In contrast, this analysis, which includes a random-parameter fishing site choice model, demonstrates that simple, inexpensive programs such as better signage to warn of FCAs and transportation to clean sites have the potential to yield substantial benefits quickly. This paper also focuses on how different ethnic minority groups are affected by FCAs, and determines how best to communicate risk information and change fishing behavior through outreach programs.     

中国资源环境科学数据的发展规划

本文描述了中科院资源环境科学数据中心的建设情况,有助于读者对中国资源环境科学数据的发展增加认识和了解。     

Modeling fish growth and reproduction in the context of the Dynamic Energy Budget theory to predict environmental impact on anchovy spawning duration

Spawning location and timing are critical for understanding fish larval survival. The impact of a changing environment on spawning patterns is, however, poorly understood. A novel approach is to consider the impact of the environment on individual life histories and subsequent spawnings. In the present work, we extend the Dynamic Energy Budget (DEB) theory to investigate how environment variability impacts the spawning timing and duration of a multiple-batch spawning species. The model is successfully applied to reproduce the growth and reproduction of anchovy (Engraulis encrasicolus) in the Bay of Biscay. The model captures realistically the start and ending of the spawning season, including the timing of the spawning events, and the change in egg number per batch. Using a realistic seasonal forcing of temperature and food availability derived from a bio-physical model, our simulation results show that two thirds of the total spawned mass already accumulates before the start of the spawning season and that the condition factor increases with body length. These simulation results are in accordance with previous estimations and observations on growth and reproduction of anchovy. Furthermore, we show how individuals of equal length can differ in reproductive performance according to the environmental conditions they encounter prior to the spawning season. Hatch date turns out to be key for fecundity at age-1 as it partly controls the ability to build up reserves allocated to reproduction. We suggest the model can be used to realistically predict spawning in spatially and temporally varying environments and provide initial conditions for bio-physical models used to predict larval survival.