区域生态系统服务对土地利用变化的脆弱性评估——以江苏省环太湖地区碳储量为例

文章在评述生态系统服务对全球变化的脆弱性研究概况的基础上,认为在生态系统服务退化和不可持续的状态下,改变土地利用变化对降低生态系统服务脆弱性具有重要意义。论文引入了生态系统服务对土地利用变化脆弱性评估方法,分析了生态系统服务对土地利用类型转变、土地利用类型渐变、土地管理方式变化的脆弱性响应机理,以江苏省环太湖地区碳储量为例进行实证研究。结果表明:①在1980—1990年、1990—2000年、2000—2005年3个时间段,农田、林地的显著减少和建设用地的急剧增加致使生态系统碳储量对土地利用强度变化表现得愈加脆弱,土地利用强度指数每增加一个单位,碳储量分别减少0.90 Tg、1.68 Tg、1.69 Tg;②2005—2015年间,通过对农田、林地、建设用地的规划控制,可以降低生态系统碳储量的脆弱性,土地利用强度指数每增加一个单位,碳储量分别由规划控制前减少0.50 Tg变为增加0.62Tg。据此得出结论,合理调整土地利用结构、加强规划管理可以降低生态系统碳储量对土地利用变化的脆弱性。最后,针对研究中存在的一些不足之处,提出了进一步研究的建议。     

Is the Swedish environmental technology sector ‘green’?

The Environmental technology (ET) sector delivers environmentally preferably products. Little is known about whether companies in the ET sector set environmental objectives relating to their own production processes. This paper presents results from an online survey on environmental work in enterprises listed by the Swedish Environmental Technology Council (Swentec). The survey found that depending on the specific subsector, only between 21% and 45% of companies provide information about their environmental work on their website. This paper proposes environmental aspects of production and products as bases for corporate greening and for defining ‘green’ and ‘green-green’ business and identifies three main motivations for the companies within ET sector to operate as ‘green-green’ businesses: ‘competitive advantage’, ‘environmental responsibility’ and ‘environmental leadership’.     

水土保持生态补偿定量计算探究 ——以潘家口库区东北沟流域为例

水土保持生态补偿对于我国的水土流失治理意义重大,水土保持补偿标准的确定是建立生态补偿机制的核心问题。基于潘家口水库上游东北沟流域1990年和2009年土地利用数据和气候、 土壤、 植被、 DEM及农户调查等数据,应用通用土壤侵蚀方程模型(RUSLE)计算该流域采取预防水土流失措施后的土壤侵蚀减少量,在此基础上采用环境经济学的方法核算水土保持生态功能的提供方和受益方两个主体的成本和收益,并构建了水土保持生态补偿标准计算模型,实现了水土保持生态补偿标准定量计算。结果显示:流域生态系统的年土壤保持量为6.49×10⁴ t·a^-1;水土保持服务提供方损失为24.48×10⁴元,所得收益来自减少土地损失和肥力损失的价值共计44.21×10⁴元;水土保持服务受益方主要指下游潘家口水库所得收益来自减少泥沙淤积和减少富营养化共计84.88×10⁴元;流域所得的补偿介于24.48×10⁴元(222.55元/人)到46.90×10⁴元(426.36元/人)之间。     

我国环境服务业发展路径的思考

环境服务业是为环境污染治理等提供服务的行业,是环保产业的重要组成部分,但传统环境服务与环境治理效果存在脱节的现象.本文借鉴经济学外部性理论分析传统环境服务中环保企业污染治理与实现环境系统性改善之间存在的差距,及造成这种差距的原因,有针对性的从成本分担、目标统一、结果双赢、服务量化四个方面分析当前阻碍环境服务行业发展的关键问题,探讨环境服务业发展模式的创新,并为推进我国环境服务业发展提出了一些思路.     

Research of the Response of Ecosystem to LUCC in Miyun County,Beijing: Based on Ecosystem Services Valuation

Abstract

Miyun County, located in the northeast of Chinese capital Beijing, was underwent remarkable variations in land use in recent years. This paper aimed to detect changes in land use of Miyun from 1997 to 2005, and to qualify the response of ecosystem to LUCC based on ecosystem services valuation. With two-periods TM images, we got land use change data, and then ecosystem services values were calculated using ecosystem services valuation coefficients proposed by Chinese scholar Xie Gaodi. Results showed that water area, farm land and unused land decreased while residential land, forest land, grassland and orchard land increased during the study period. The loss of ESV was RMB 206 million and the main reason was the decrease of water area and farm land area. As for spatial variation, there were most dramatically land use change and ESV decline in reservoir ecological protection region. The coefficient sensitivity analysis indicates that valuation coefficients used in the study are suitable and results are reasonable. The driving forces of ESV loss were rapid population growth and economic development. More work should be done to make eco-environment stay healthy.     

生态资产核算与生态补偿机制研究

生态资产是实现人类可持续发展的重要基础,如何科学评估和核算生态资产并建立生态补偿机制具有重要的学术价值与现实意义。本文从厘清生态资产的概念与范畴出发,梳理了有关生态资产核算方法与生态补偿机制的研究进展,并对下一步研究的重点提出了相关建议。本文认为,加强城市群生态资产相关研究很有必要,建议从生态资产空间流转与代谢的视角出发,综合考虑宏观方法与微观方法相结合,定量化评估生态资产的存量和流量,刻画生态资产的空间流转路径与代谢网络关系,深入分析关键利益相关方的价值偏好,构建市场化生态资产补偿机制,为实现生态资产合理利用提供重要的理论参考与实证参照。     

中国自然资源生态服务重要性评价与空间格局分析

自然资源是保障经济社会发展的重要物质基础,同时又发挥了重要的生态服务功能。选取水源涵养、水土保持、防风固沙、生物多样性维护和产品提供五类生态服务,采用NPP定量指标法识别中国自然资源生态服务的重要区域,并进一步分析空间格局特征。结果表明：中国自然资源生态服务极重要和高度重要区约占总面积的1/4,以东北山地、江南地区、西南地区和青藏高原东部等水源涵养能力强、水土保持较好、防风固沙水平高、生物多样性较丰富的地区为主;不同类型自然资源的生态服务重要性差异显著,耕地资源的产品提供服务重要性显著,林地和草地资源的水源涵养、水土保持、防风固沙及生物多样性维护服务重要性均较显著,水域主要提供水源涵养服务;各生态服务重要性在空间上均显著集聚,自然资源综合生态服务的热点区主要分布在大兴安岭、长白山、浙闽山地、武夷山、南岭山地、秦岭山地、滇西南地区和藏东南山地等;自然资源综合生态服务重要性的空间分布与农业自然带/亚带呈现较高的一致性,热带和温带地区的重要性级别较高。研究结果可为区域自然资源管理及生态保护修复提供决策依据。     

易地扶贫搬迁对西藏典型迁入村可持续发展的影响

基于联合国2030年可持续发展目标（UN-SDGs）,融入生态系统服务,建立了面向易地扶贫搬迁政策的村落和农牧户尺度可持续发展评价指标体系,定量分析了西藏典型易地扶贫搬迁迁入村——白朗村及村内农牧户在搬迁前后可持续发展目标实现状况变化。结果表明：在村落尺度,易地扶贫搬迁实施后迁入村在消除贫困（SDG 1）、能源可持续（SDG 7）和可持续住区（SDG 11）三项目标下的可持续发展指标数值较搬迁前显著增加,但可持续发展指数总分降低2.91%;易地扶贫搬迁政策直接影响的农牧户收入、用水和交通等可持续发展指标的可持续发展指数贡献率从49.4%增加至54.23%,但政策间接影响的生态系统相关的指标,其可持续发展指数贡献率由50.6%降低至45.77%;在农牧户尺度,易地扶贫搬迁显著促进了搬迁农牧户消除贫困（SDG 1）和体面工作（SDG 8）目标的实现,且在村落资源总量有限、大量人口迁入的情况下原住农牧户各项可持续发展指标依然稳定增长。研究为白朗村搬迁后的管理和投入工作提供方向,并为未来其他地区搬迁工作中的土地利用规划制定和迁入人口数量的确定提供思路。     

Statistical and Hybrid Methods Implemented in a Web Application for Predicting Reservoir Inflows during Flood Events

Reservoir management is a critical component of flood management, and information on reservoir inflows is particularly essential for reservoir managers to make real‐time decisions given that flood conditions change rapidly. This study's objective is to build real‐time data‐driven services that enable managers to rapidly estimate reservoir inflows from available data and models. We have tested the services using a case study of the Texas flooding events in the Lower Colorado River Basin in November 2014 and May 2015, which involved a sudden switch from drought to flooding. We have constructed two prediction models: a statistical model for flow prediction and a hybrid statistical and physics‐based model that estimates errors in the flow predictions from a physics‐based model. The study demonstrates that the statistical flow prediction model can be automated and provides acceptably accurate short‐term forecasts. However, for longer term prediction (2 h or more), the hybrid model fits the observations more closely than the purely statistical or physics‐based prediction models alone. Both the flow and hybrid prediction models have been published as Web services through Microsoft's Azure Machine Learning (AzureML) service and are accessible through a browser‐based Web application, enabling ease of use by both technical and nontechnical personnel.     

Implementing service-based chemical procurement: lessons and results

Chemical use reduction is strongly desirable for environmental and public welfare reasons, and is a critical element of moving towards more sustainable consumption in the business-to-business economy. However, the fundamental economic relationship between chemical supplier and chemical customer creates supply side incentives for increased chemical use. Chemical management services (CMS) is a business model that aligns economic incentives in the chemical supplier–customer relationship towards reduced chemical use by making chemical services rather than chemical volume the basis of supplier compensation. CMS thus ‘servicizes’ the chemical supply chain and is a Product Service System with significant potential environmental benefits. CMS enjoys high penetration in the US auto and semiconductor sectors, and is emergent in other sectors. The paper synthesizes lessons learned from hands-on work with 15 chemical-using firms over 5 years in all aspects of CMS program implementation. Key points are that poor cost accounting and chemical information management form significant barriers to making, understanding and evaluating the CMS business case. The details of contractual compensation mechanisms are critical to achieving in practice the potential environmental benefits of the CMS model.