荣成天鹅湖水体有机磷的生物有效性和时空分布

磷是滨海湿地生产力的关键限制因素之一,有机磷的矿化分解是湿地活性磷的重要补充途径。本文以滨海荣成天鹅湖湿地为研究对象,通过采集不同季节、不同点位的表层水样,利用酶水解技术研究了天鹅湖水体有机磷的生物有效性及其时空变化规律。研究表明:(1)天鹅湖已经出现轻度富营养化。有机磷是天鹅湖水体总磷(TP)重要组成部分,其中溶解态有机磷(DOP)的含量为0.039～0.123 mg/L,占水体TP的29%～74%,颗粒态有机磷(POP)的含量为0.011～0.073mg/L,占水体TP的11%～25%。(2)在有机磷中,24%～31%的DOP和41%～82%的POP是潜在的生物可利用磷。(3)天鹅湖DOP遵循春夏高而秋冬含量低的特点。有机磷空间分布非均一性,DOP主要分布在湖中区和入河口区。POP集中分布在北部入河口和湖心区及其北部沙滩区域。另外,通过相关性分析表明,有机磷与水环境因子关系密切,DOP和溶解态酶水解有机磷(DEHP)的含量可以指示水体富营养化程度。总之,水体有机磷循环供磷可能是造成水体富营养化的重要原因。因此,在富营养化的防治过程中应该采取有效措施防治有机磷的矿化。     

Overall Planning of Development of Urban-Rural Areas:A Policy Mechanism for Urban-Rural Coordinated Growth

While analyzing overall planning and coordinated development of urban-rural areas, this paper shows that overall planning for the development of urban-rural areas is a requirement for the best use of productive forces. It means the setting up of a policy mechanism for coordinated growth. Recognizing this, the government should set up a way to lead and manage a unified program to increase service and decrease controlling administration power, while safeguarding and fulfilling the farmers' ownership to the means of production.     

我国东部沿海地区差距状况以及经济低谷地区的崛起

我国是区域发展差异巨大的大国之一，存在着多种尺度的区域发展差异。从中小尺工区域差异的角度，分析了我国东部沿海地区内部发展差距扩大趋势有其影响，可以看出，东部沿海地区在经济快速发展的同时，也存在着经济相对落后的低谷地区。沿海经济低谷地区分布相对集中于香港－－珠江三角洲、上海－长江三角洲、京津唐－环渤海三个经济隆起带之间，处于省际交界处。按照类型可以分为黄泛平原区、丘陵山区和沿海库区。东部经济低谷地区区位条件相对比较落后，交通可达性较差，产业结构单一，城市化水平发展严重滞后，社会经济发展比较缓慢，这些不利因素制约着该地区经济和社会的发展。根据崛起机制和途径，低谷地区发展呵以分为资源转换型、非国有经济推动型和外资推动型。建议国家修筑贯穿沿海经济低谷地区的东部沿海铁路大通道，降低沿海经济低谷地区设定标准，加快农业产业化发展，对特殊贫困地区实行特殊优惠政策，从而促进东部沿海地区经济协调发展。     

山区发展与特色经济研究--以湖北省恩施自治州为例

以湖北省恩施自治州为例，探讨了山区发展特色经济的重要途径。对其资源环境结构与产业结构作了对应分析，得出该区经济发展的优势在“山林”，而不在“耕地”，在地方“特色资源”，而不在“大众资源”。并采取经济区位商法，对本区众多资源进行了优势评价。根据其资源优势特点，指出恩施的优势在“山上”，应走以“绿色农业”为基础、以轻型加工业为主的发展道路，使本地区的经济结构由长期以来的一、二、三产业低位的传统排序逐步变为高层面的二、一、三的新排序。构建符合山区特色的产业结构。     

长江三角洲大都市周边地区城市定位研究——以苏州、南通为例

本文以大都市理论和区位理论为基础 ,从区域分工与协作的角度 ,探讨了在经济全球化和市场一体化背景下 ,上海大都市周边的大城市苏州和南通未来发展的城市定位以及实现定位的途径 ,为长江三角洲都市连绵区诸城市之间的协调发展提供借鉴。     

论北京城市建设的综合减灾问题

本文针对北京城市建设面临的自然与人为灾害背景,简要论述了北京地震、水灾、火灾及“新致灾源”的历史及现状,强调开展首都圈灾害研究及减灾规划设计的重要性,并提出了系统的减灾方略及相应的管理构想。     

Shared governance arrangements and social connectivity: advancing large-scale coastal and marine conservation initiatives in the Dominican Republic

Increasingly, large-scale conservation initiatives (e.g. through protected area networks and transboundary connectivity initiatives) are growing in prevalence as their diverse sustainability benefits are further understood. Conventional, centralized approaches to conservation, often featuring unconnected discrete ‘patches’, are no longer sufficient for achieving effective, long-term protection. The purpose of this study was to gain a better understanding of how to achieve effective large-scale conservation initiatives by addressing the following objectives: (1) To assess the degree to which local actors are involved in coastal and marine conservation practices, with a focus on large-scale conservation initiatives (LCIs); and, (2) To identify barriers and opportunities for achieving effective large-scale conservation. This paper presents findings from research in the Dominican Republic where social-ecological components of coastal and marine systems are considered from multiple perspectives to advance management and increase effectiveness of LCIs. Data were acquired through semi-structured interviews with 35 coastal and marine actors (e.g. fishers, ministers, non-governmental organizations, practitioners, academics) working at local to international scales. Interview data were analysed through thematic coding using QSR-Nvivo 12 software. Respondents expressed that non-governmental actors (e.g. private organizations, coastal communities) should have an increased role in developing, implementing and managing coastal and marine LCIs. Additionally, respondents commented on strategies to enhance social connectivity (i.e. sharing experiences, programs and expertise) within coastal and marine practices to enhance effectiveness and facilitate learning. Findings contribute to the understanding of complex coastal and marine social-ecological systems of the Dominican Republic and provide further support for involving multiple actors in governance processes.     

Detecting deterrence from patrol data

The threat posed to protected areas by the illegal killing of wildlife is countered principally by ranger patrols that aim to detect and deter potential offenders. Deterring poaching is a fundamental conservation objective, but its achievement is difficult to identify, especially when the prime source of information comes in the form of the patrols’ own records, which inevitably contain biases. The most common metric of deterrence is a plot of illegal activities detected per unit of patrol effort (CPUE) against patrol effort (CPUE-E). We devised a simple, mechanistic model of law breaking and law enforcement in which we simulated deterrence alongside exogenous changes in the frequency of offences under different temporal patterns of enforcement effort. The CPUE-E plots were not reliable indicators of deterrence. However, plots of change in CPUE over change in effort (ΔCPUE-ΔE) reliably identified deterrence, regardless of the temporal distribution of effort or any exogenous change in illegal activity levels as long as the time lag between patrol effort and subsequent behavioral change among offenders was approximately known. The ΔCPUE-ΔE plots offered a robust, simple metric for monitoring patrol effectiveness; were no more conceptually complicated than the basic CPUE-E plots; and required no specialist knowledge or software to produce. Our findings demonstrate the need to account for temporal autocorrelation in patrol data and to consider appropriate (and poaching-activity-specific) intervals for aggregation. They also reveal important gaps in understanding of deterrence in this context, especially the mechanisms by which it occurs. In practical applications, we recommend the use of ΔCPUE-ΔE plots in preference to other basic metrics and advise that deterrence should be suspected only if there is a clear negative slope. Distinct types of illegal activity should not be grouped together for analysis, especially if the signs of their occurrence have different persistence times in the environment.     

Spatial cost–benefit analysis of blue restoration and factors driving net benefits globally

Marine coastal ecosystems, commonly referred to as blue ecosystems, provide valuable services to society but are under increasing threat worldwide due to a variety of drivers, including eutrophication, development, land-use change, land reclamation, and climate change. Ecological restoration is sometimes necessary to facilitate recovery in coastal ecosystems. Blue restoration (i.e., in marine coastal systems) is a developing field, and projects to date have been small scale and expensive, leading to the perception that restoration may not be economically viable. We conducted a global cost–benefit analysis to determine the net benefits of restoring coral reef, mangrove, saltmarsh, and seagrass ecosystems, where the benefit is defined as the monetary value of ecosystem services. We estimated costs from published restoration case studies and used an adjusted-value-transfer method to assign benefit values to these case studies. Benefit values were estimated as the monetary value provided by ecosystem services of the restored habitats. Benefits outweighed costs (i.e., there were positive net benefits) for restoration of all blue ecosystems. Mean benefit:cost ratios for ecosystem restoration were eight to 10 times higher than prior studies of coral reef and seagrass restoration, most likely due to the more recent lower cost estimates we used. Among ecosystems, saltmarsh had the greatest net benefits followed by mangrove; coral reef and seagrass ecosystems had lower net benefits. In general, restoration in nations with middle incomes had higher (eight times higher in coral reefs and 40 times higher in mangroves) net benefits than those with high incomes. Within an ecosystem type, net benefit varied with restoration technique (coral reef and saltmarsh), ecosystem service produced (mangrove and saltmarsh), and project duration (seagrass). These results challenge the perceptions of the low economic viability of blue restoration and should encourage further targeted investment in this field.     

Boosting freshwater fish conservation with high-resolution distribution mapping across a large territory

The lack of high-resolution distribution maps for freshwater species across large extents fundamentally challenges biodiversity conservation worldwide. We devised a simple framework to delineate the distributions of freshwater fishes in a high-resolution drainage map based on stacked species distribution models and expert information. We applied this framework to the entire Chinese freshwater fish fauna (>1600 species) to examine high-resolution biodiversity patterns and reveal potential conflicts between freshwater biodiversity and anthropogenic disturbances. The correlations between spatial patterns of biodiversity facets (species richness, endemicity, and phylogenetic diversity) were all significant (r = 0.43–0.98, p < 0.001). Areas with high values of different biodiversity facets overlapped with anthropogenic disturbances. Existing protected areas (PAs), covering 22% of China's territory, protected 25–29% of fish habitats, 16–23% of species, and 30–31% of priority conservation areas. Moreover, 6–21% of the species were completely unprotected. These results suggest the need for extending the network of PAs to ensure the conservation of China's freshwater fishes and the goods and services they provide. Specifically, middle to low reaches of large rivers and their associated lakes from northeast to southwest China hosted the most diverse species assemblages and thus should be the target of future expansions of the network of PAs. More generally, our framework, which can be used to draw high-resolution freshwater biodiversity maps combining species occurrence data and expert knowledge on species distribution, provides an efficient way to design PAs regardless of the ecosystem, taxonomic group, or region considered.