哈密地区生态保护可持续发展对策分析

哈密地区自然条件十分脆弱,长期以来重开发、轻保护,资源开发和经济增长方式粗放,使生态系统遭到破坏。为把生态保护置于新疆经济社会可持续发展的基础性地位,提出了生态保护的重点和难点,并对此制定出生态保护的对策。     

浅谈生态保护红线区生态系统管理研究概念框架

简述了生态保护红线管理制度的探索实践。提出了生态系统管理的概念框架,包括范围划定、管控分级、目标设定、动态监测、综合分析、管理策略和反馈优化7个方面;识别了生态系统管理中存在的3个关键问题:概念界定、管理方式和保障制度。指出生态保护红线是重点生态功能区、生态环境敏感区和脆弱区等区域划定的严格管控边界,是国家和区域生态安全的底线。要在分析区域生态系统的承载力的基础上,识别重要生态功能区域,进一步辨析生态保护红线的概念;应构建国家层面的生态系统管理方式,以利于红线区管理的整体性;要健全奖惩和补偿机制,引导公众参与生态保护红线的划定、管理和监督工作。     

中国北方农牧交错带2000—2010年生态环境状况分析

北方农牧交错带是中国生态环境的一条过渡带,也是中国重要的生态安全屏障带,生态环境脆弱,具有明显的不稳定性和敏感性。以中国北方农牧交错带为研究对象,构建了反映区域生态生产力、功能支撑力、制约因子和胁迫因子的农牧交错带生态环境状况评估体系,利用多源遥感数据、土地生态数据、环境数据、气象数据等多源信息综合评估2000—2010年间该地区生态质量状况及变化趋势。根据Linear Regression和K-means cluster分析表明,该区域生态环境质量以"一般"为主,10年间生态环境质量呈现整体"稳中变好"的特征,"良"和"一般"呈增加趋势,16个县生态功能改善,18个县生态生产力呈恢复状态,16个县土地退化程度降低。水分条件和环境负荷是影响农牧交错带的主要限制和胁迫因子,局部地区存在显著生态风险。     

塔里木盆地是新疆生物多样性保护的一个关键区域

在陈昌笃关于确定生物多样性保护关键区域的标准和在新疆境内初步提出了５个关键区域的基础上,根据塔里木盆地古老物种和国家珍稀、濒危物种较多、特有现象较发达及柽柳鹰植物十分丰富和分布有世界上面积最大在胡杨林,加之塔里木盆地生态系统极其脆弱、破坏严重等特点和现状,初步认为,塔里木盆地应是新疆生物多样性保护的一个关键区域。     

西部生态敏感地带分析与可持续发展探讨

西部生态敏感地带是西部地域空间中的一个特殊地理单元，因其生态系统稳定性较差，自然生态系统功能偏低，容易受到人类活动的干扰，故该地带内生态环境问题较为突出生态环境问题反过来又制约着这一地带的经济发展，使西部生态敏感地带成为我国西部生态环境突出，经济发展落后的区域之一，对西部生态敏感地带的特征了分析，在此基础上就该地带的可持续发展作了初步探讨。     

新疆生态环境质量动态变化监测与评价研究

客观、准确地认识和评价新疆的生态环境质量现状，制定相应的生态环境保护对策，对于新疆社会经济与生态环境的可持续发展是十分重要的。本文应用RS和GIS技术，采用综合指数评价法，对全疆区域生态环境质量及其动态变化进行了系统的评价、分级与对比。结果得出新疆生态环境质量总体较差，而且在空间上存在着较大的差异；与2000年相比，2002年新疆生态环境质量呈现总体变化不大的态势。     

塔河油田开发建设对环境的影响及环境保护对策

塔河油田拥有丰富的油气资源,是新疆主要的石油能源基地,创造了巨大的经济效益和社会效益,但是该区域自然环境恶劣,生态脆弱,油田开发对当地环境的影响不容忽视。正确认识油田开发产生的污染物来源、类型及对环境造成的影响,采取积极有效的环境污染防治措施,是实现资源利用与环境保护和谐发展的主要问题。本文对此进行了较详细的论述。     

基于Landsat 8遥感影像的邵武至光泽高速公路生态环境质量评价研究

以邵武—光泽高速公路施工后期(2015年5月)的Landsat 8遥感影像及DEM为主要数据源,提取植被、土壤和地形等相关因子,依据各因子对生态环境质量的贡献程度构建评价模型,并用该模型对高速公路红线两侧5 km范围内的区域生态环境质量进行影响评价。结果表明:该工程区内生态环境质量影响评价优、良的面积约占区域总面积的91%,其生态系统结构及功能较完善,该工程对生态系统影响较小。     

扬州市2010年生态足迹计算与分析

生态足迹是评价区域可持续发展的定量方法,也是一种用来度量人类活动对生态系统压力和影响的新途径.扬州市生态足迹计算的结果显示,2010年为2.823 hm2/人,是本地区生态承载力的5.39倍.扬州市生态赤字高于全国平均水平,并主要通过资源输入进行弥补.经济发展的生态转型和城镇建设的低碳化是抑制生态足迹过快增长的关键,实施区域生态保护有助于提高生态承载力.     

南水北调东线水源区的生态监测

分析了南水北调东线水源区近期的生态监测工作重点、生态类型划分、监测指标确定及监测报告的编制，提出水源区近期生态监测应以监测区域生态质量状况和地面监测各生态系统信息指标为主，水源区的湿地生态系统、农村生态系统、农田生态系统、森林生态系统4种生态类型应按照综合性、独立性、可测性、数据可获得性和长期性的原则，分别确定其监测指标和监测频次。对生态监测报告的形式、内容提出了具体要求。     

Risk assessment for sustainable food security in China according to integrated food security—taking Dongting Lake area for example

Integrated food security covers three aspects: food quantity security, food quality security, and sustainable food security. Because sustainable food security requires that food security must be compatible with sustainable development, the risk assessment of sustainable food security is becoming one of the most important issues. This paper mainly focuses on the characteristics of sustainable food security problems in the major grain-producing areas in China. We establish an index system based on land resources and eco-environmental conditions and apply a dynamic assessment method based on status assessments and trend analysis models to overcome the shortcomings of the static evaluation method. Using fuzzy mathematics, the risks are categorized into four grades: negligible risk, low risk, medium risk, and high risk. A case study was conducted in one of China’s major grain-producing areas: Dongting Lake area. The results predict that the status of the sustainable food security in the Dongting Lake area is unsatisfactory for the foreseeable future. The number of districts at the medium-risk range will increase from six to ten by 2015 due to increasing population pressure, a decrease in the cultivated area, and a decrease in the effective irrigation area. Therefore, appropriate policies and measures should be put forward to improve it. The results could also provide direct support for an early warning system—which could be used to monitor food security trends or nutritional status so to inform policy makers of impending food shortages—to prevent sustainable food security risk based on some classical systematic methods. This is the first research of sustainable food security in terms of risk assessment, from the perspective of resources and the environment, at the regional scale.     

RETRACTED ARTICLE: Evaluation for sustainable land use in mountain areas of Northwestern Yunnan Province, China

As an important component of sustainable development in mountain areas, evaluation for sustainable land use is always one of the hotpots of researches on sustainable development. Traditional evaluation for sustainable land use mainly focuses on the sustainability of land use model and biological production on temporal scale, and overlooks the effects of land use patterns on the sustainability, while landscape ecology can be a good help to realize the spatial analysis of sustainable land use. In this study, a synthetic evaluation indexes system for sustainable land use was constructed through the application of landscape metrics. Taking Yongsheng County of Yunnan Province, China as a case study, a series of quantitative evaluation were conducted in 1996, 1999 and 2001, to monitor the temporal dynamics of regional land use sustainability. Two indicators, contributing amount of indexes, and obstacle amount of indexes, were also set up to ascertain the significance of all the evaluation indexes to the evaluation results. The results showed that, in the study phases, the land use sustainability of the whole county had been low with a stable but great spatial difference, and great changes took place in regional land use system in 1999 with the deviation from the aim of sustainable land use. It also showed that, the most important indexes contributing for the land use sustainability in the study period, were the indexes of population density and land use degree, followed by the index of landscape diversity and cropping index. And the most important indexes counteracting the land use sustainability were the indexes of per unit area total production value of industry and agriculture, per unit area yield of cereal crops, landscape fragmentation, followed by the indexes of per unit area yield of economic crops and fertilizer consume per unit area.     

Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems

The environmental restoration of terrestrial ecosystems helps to protect the natural world and enhances sustainable land resource development. Modern and efficient approaches for the conservation of ecological functions must be established for more severe land degradation. In this paper, artificial intelligence assisted intelligent planning framework has been proposed to manage the environmental restoration of the terrestrial ecosystem. Facilitating balance of ecosystem service provision, demand, and using machine learning to dynamically build Biological Retreat Configuration (BRCs) that helps better to apprehend the influence of urban growth on environment-related procedures. Such factors can be used as a theoretical reference in the combination of commercial development and eco-friendly conservation. The BRC of the metro area of Changsha Zhuzhou Xiangtan (CZX) has been developed in this study to classify ecological sources using the Bayesian network model efficiently. Using the Least Collective Resistance (LCR) model and circuit theory, the environmental passage and environmental strategy points were established. The BRC was developed by integrating seven environmental factors with 35 ecological policy points. The results showed that the supply and demand of organic unit services (EUS) were spatially decoupled with the deterioration in locations with a significant EUS trend. The urban agglomeration's environmental sources and ecological corridors have been primarily located in forests and waters. The terrestrial environmental pathway has been scattered around the outer edge of the region, while the aquatic green corridor has been extended over the whole town. The environmentally sensitive areas were located primarily around the borders of the growing region and the intersections between land development and forest area. Finally, environmental components have been mainly identified in existing zones of biological defense, which support the effectiveness of Machine Learning (ML) in green sources forecasting and offer novel insight into the development of urban BRCs. The proposed approach has proven to be effective for the planning of assessing environmental restoration in terrestrial ecosystems.     

Establishment and applied research on environmental sustainability assessment indicators in Taiwan

The study utilizes the method of Material Flow, Ecological Footprint Model and other related indicators to establish the Indicator System of Sustainable Development. Principal Component Analysis is used to abstract the representative factors in order to estimate the indicators of ecological sustainable development during 1998~2005 in Taiwan, as well as to make policy recommendations. The research indicates following results: (1) The Direct Material Input (DMI) of Taiwan shows constant instability and depends on heavy import activity. The annual increase of considerable greenhouse gas emission leads to a comparative growth of the Domestic Process Output (DOP). The both material consumption and inventory formation of the economy are unsteady. In addition, the Physical Trade Balance (PTB) indicates that supply exceeds demand, as well as the occasional shortage of building materials. (2) The 2005 per capita Ecological Demand footprint in Taiwan is 6.5392 hm(2), making the Ecological Deficit per capita 4.8569 hm(2). The figures reflect that productivity and life intensity of residents have exceeded the carrying capacity of Taiwan's ecological economic system. (3) The overall Synthetic Trend Indicators of Sustainable Development in Taiwan are decreasing. Therefore, if proper measures are not adopted in time, the current weak sustainability will lead into the vicious circle which departs from sustainable development.     

生态市建设规划中的若干问题探讨

生态市建设规划是促进可持续发展的有效措施。本文分析了生态市建设规划与早期生态示范区建设规划存在的差异,探讨了编制生态市建设规划的一些基础理论和理性认识。     

Hydrochemical analysis to evaluate the seawater ingress in a small coral island of India

The sustainable development of the limited groundwater resources in the tropical island requires a thorough understanding of detail hydrogeological regime including the hydrochemical behavior of groundwater. Detail analysis of chemical data of groundwater helps in assessing the different groundwater zone affected by formation as well as sea water. Groundwater and saline water interaction is better understood using groundwater major ion chemistry over an island aquifer. Multivariate methods to analyze the geochemical data are used to understand geochemical evolution of groundwater. The methods are successfully used to group the data to evaluate influence of various environs in the study area. Various classification methods such as piper, correlation method, and salinity hazard measurements are also employed to critical study of geochemical characteristics of groundwater to identify vulnerable parts of the aquifer. These approaches have been used to successfully evaluate the aquifer zones of a tiny island off the west coast of India. The most part of island is found to be safe for drinking, however some parts of island are identified that are affected by sea water ingress and dissolution of formation minerals. The analysis has successfully leaded to identification of that part of aquifer on the island which needs immediate attention for restoration and avoids further deterioration.     

Using multiple-criteria decision-making techniques for eco-environmental vulnerability assessment: a case study on the Chi-Jia-Wan Stream watershed, Taiwan

The Chi-Jia-Wan Stream watershed, located in the area of the upstream Da-Chia River in central Taiwan, is famous for slopeland agriculture and the land-locked salmon. Improper agricultural activities have caused apparent ecosystem vulnerability and sensitivity. In this study, a system that combined three watershed-based environmental indicators with multiple-criteria decision-making techniques, the Analytical Hierarchy Process, and the Preference Ranking Organization METHod for Enrichment Evaluations was developed to assess eco-environmental vulnerability. The composite evaluation index system was set up including sediment, runoff, and nutrient factors. Supported by geographic information system and K-means clustering and taking the subwatershed as the evaluation unit, the vulnerability is classified into four levels: potential, low, moderate, and high. The evaluated results show that 8.82% of subwatersheds (six subwatersheds) are in the moderately and highly vulnerable zones. These subwatersheds represent vertical-belt distribution, mainly concentrated in the right side of the studied area and near the riparian zone along the Chi-Jia-Wan Stream. The exploited farmland in the moderately and highly vulnerable zones is about 142.21 ha, occupying 75.38% of the total farmland in the studied watershed. These seriously vulnerable zones that have caused degradation in the quality of the eco-environment should be treated with more best management practices for eco-environmental rehabilitation. Additionally, the proposed model can effectively evaluate the eco-environmental vulnerability grade for reference in policy planning and ecological restoration in this area.     

Environmental vulnerability assessment using Grey Analytic Hierarchy Process based model

Environmental management of an area describes a policy for its systematic and sustainable environmental protection. In the present study, regional environmental vulnerability assessment in Hirakud command area of Odisha, India is envisaged based on Grey Analytic Hierarchy Process method (Grey–AHP) using integrated remote sensing (RS) and geographic information system (GIS) techniques. Grey–AHP combines the advantages of classical analytic hierarchy process (AHP) and grey clustering method for accurate estimation of weight coefficients. It is a new method for environmental vulnerability assessment. Environmental vulnerability index (EVI) uses natural, environmental and human impact related factors, e.g., soil, geology, elevation, slope, rainfall, temperature, wind speed, normalized difference vegetation index, drainage density, crop intensity, agricultural DRASTIC value, population density and road density. EVI map has been classified into four environmental vulnerability zones (EVZs) namely: ‘low’, ‘moderate’ ‘high’, and ‘extreme’ encompassing 17.87%, 44.44%, 27.81% and 9.88% of the study area, respectively. EVI map indicates that the northern part of the study area is more vulnerable from an environmental point of view. EVI map shows close correlation with elevation. Effectiveness of the zone classification is evaluated by using grey clustering method. General effectiveness is in between “better” and “common classes”. This analysis demonstrates the potential applicability of the methodology.     

基于农业面源污染风险区的生态保护红线优化方法分析

将农业面源污染风险区划入生态保护红线中，防范由此导致的饮用水水源富营养化现象，是值得深入探讨的科学问题。以南水北调中线重要水源地丹江口水库流域十堰段为例，基于农业面源污染风险区的识别，通过情景分析探讨生态保护红线优化方法，改善区域生态环境，推动绿色发展。结果表明：将农业面源污染极高风险区划入生态保护红线，区域氮、磷流失削减率可分别达35.9%和26.33%,在一定程度上增强了生态系统连通性，且人口生态压力指数较小(0.23),可统筹生态效益和经济效益的发展。研究结果有望为存在农业面源污染风险的丘陵山区提供一种红线优化新思路。     

Intertidal macrofaunal communities in an intensely polluted estuary

The Bilbao estuary (northern Spain) has suffered a serious environmental deterioration due to industrial and domestic discharges during decades. A total of 21 sampling stations were selected in order to: (1) study the intertidal fauna distribution on both hard and soft bottoms; (2) link this information with the prevalence of certain environmental variables at the sampling sites; and (3) define distinct biological zones with all the information gathered. Up to 50 taxa were identified mainly in the outer estuary with an abrupt decrease upstream. In general, fauna on hard substrates was more diverse, while soft bottom communities exhibited a more consistent structure. Sporadic hypoxic events were recorded in the water column of all the sites studied, which affects the distribution of species. Three major biotic zones are proposed in the estuary. This provides a reliable biomonitoring tool for assessing the effectiveness of a sewerage and remediation scheme ongoing on the river and evaluating the future use of each area in the urban development of the city of Bilbao and conurbation.