Towards a co-evolutionary framework for implementing sustainable development

SUMMARY

A quantitative method which can be used to gauge the sustainability of existing socio-cultural, economic and environmental constructs is proposed. An underlying assumption of the approach is that a co-evolutionary relationship exists between social, cultural, economic and environmental systems and that these cannot be addressed in a reductionist and deterministic manner. The method focuses on both broad trends and patterns of variance in a multivariate data matrix, it allows the identification of dominant trends as well as underlying tensions, does not treat socio-cultural, economic and environmental heterogeneity as statistical noise and can be applied at different administrative scales. Furthermore, it may be used to identify potential sources of human insecurity, factors that may affect the probability of positive human survival, developmental patterns at odds with the established values system of civil society that can be targeted for political action, and to inform public debate. In addition, the method can be used to identify unexpected synergies between variables and may serve as an early warning system for regional planners.     

基于3S技术的区域生态廊道模拟及优化

以北京市朝阳区为例,运用3S技术并参考现有资料,对北京市朝阳区现有生态廊道状况进行了分析研究,并运用生态服务功能价值理论和耗费距离模型,模拟建立了北京市朝阳区潜在生态廊道模型。研究结果表明,研究区内生态环境受到了一定的破坏,景观破碎化严重,斑块聚集度虽高,但连接度不够,廊道连通性较差,许多重要的生态斑块没有足够的廊道连接,没有形成良好的生态网络,廊道的规模也达不到标准,服务范围较小。为修复现有廊道来维护区域生态安全,强化生态服务功能,建议北京市朝阳区生态廊道适宜宽度阈值：河流生态廊道植被宽度一侧至少30m以上,道路生态廊道植被宽度一侧至少60m以上,绿带生态廊道植被宽度一侧至少500m以上。     

Effect of Planning for Connectivity on Linear Reserve Networks

Although the concept of connectivity is decades old, it remains poorly understood and defined, and some argue that habitat quality and area should take precedence in conservation planning instead. However, fragmented landscapes are often characterized by linear features that are inherently connected, such as streams and hedgerows. For these, both representation and connectivity targets may be met with little effect on the cost, area, or quality of the reserve network. We assessed how connectivity approaches affect planning outcomes for linear habitat networks by using the stock‐route network of Australia as a case study. With the objective of representing vegetation communities across the network at a minimal cost, we ran scenarios with a range of representation targets (10%, 30%, 50%, and 70%) and used 3 approaches to account for connectivity (boundary length modifier, Euclidean distance, and landscape‐value [LV]). We found that decisions regarding the target and connectivity approach used affected the spatial allocation of reserve systems. At targets ≥50%, networks designed with the Euclidean distance and LV approaches consisted of a greater number of small reserves. Hence, by maximizing both representation and connectivity, these networks compromised on larger contiguous areas. However, targets this high are rarely used in real‐world conservation planning. Approaches for incorporating connectivity into the planning of linear reserve networks that account for both the spatial arrangement of reserves and the characteristics of the intervening matrix highlight important sections that link the landscape and that may otherwise be overlooked. El Efecto de la Planeación para la Conectividad en Redes de Reservas Lineales     

Monitoring,imperfect detection,and risk optimization of a Tasmanian devil insurance population

Most species are imperfectly detected during biological surveys, which creates uncertainty around their abundance or presence at a given location. Decision makers managing threatened or pest species are regularly faced with this uncertainty. Wildlife diseases can drive species to extinction; thus, managing species with disease is an important part of conservation. Devil facial tumor disease (DFTD) is one such disease that led to the listing of the Tasmanian devil (Sarcophilus harrisii) as endangered. Managers aim to maintain devils in the wild by establishing disease‐free insurance populations at isolated sites. Often a resident DFTD‐affected population must first be removed. In a successful collaboration between decision scientists and wildlife managers, we used an accessible population model to inform monitoring decisions and facilitate the establishment of an insurance population of devils on Forestier Peninsula. We used a Bayesian catch‐effort model to estimate population size of a diseased population from removal and camera trap data. We also analyzed the costs and benefits of declaring the area disease‐free prior to reintroduction and establishment of a healthy insurance population. After the monitoring session in May–June 2015, the probability that all devils had been successfully removed was close to 1, even when we accounted for a possible introduction of a devil to the site. Given this high probability and the baseline cost of declaring population absence prematurely, we found it was not cost‐effective to carry out any additional monitoring before introducing the insurance population. Considering these results within the broader context of Tasmanian devil management, managers ultimately decided to implement an additional monitoring session before the introduction. This was a conservative decision that accounted for uncertainty in model estimates and for the broader nonmonetary costs of mistakenly declaring the area disease‐free.     

循环经济在生态工业园区建设中的实际应用——以沈阳西部工业走廊为例

从沈阳市建设西部生态工业走廊的实际出发,提出了运用循环经济理念,实现沈阳市西部生态工业走廊中先进装备制造、化工、冶金、建材四个园区内各个企业内部、各园区企业之间、四个园区之间的物质集成、水和能量的梯级使用与信息集成,以及资源减量化、废物资源化的目标,为沈阳市西部生态工业走廊建设提供了有益的意见和建议。     

Methods for project-based mechanisms (JI/CDM)—relevance of IPCC inventory guidelines

A baseline for a project consists of estimates of annual emissions of greenhouse gases (GHG) for a given time period without implementing the project. A general three-step process for determining the baseline is suggested. The emission reduction of the project is given by the difference between the baseline and the monitored annual emissions. A preferred method, direct measurement of the emission reduction, is possible for some types of projects. Methods for estimating the annual baseline emissions are not necessary for the latter category, and a definition of this project category is suggested. IPCC Guidelines for National GHG Inventories categorise the emission sources so that only direct emissions from consumption of fuel and feedstock are calculated. There are thus no emission factors for indirect emissions (e.g. electricity consumption or km transported) or emission factors that depend on technology only, independent of consumption of fuel and feedstock. Technology-dependent emission factors may thus need to be developed for estimating indirect emissions and multi-project baselines. Consistency should be sought with the IPCC Guidelines when estimating annual baseline emissions and in monitoring project emissions to ensure comparability with the National Inventories.     

Implementation of Waste Electrical and Electronic Equipment Directive in Finland: Evaluation of the collection network and challenges of the effective WEEE management

Further to the European Waste Electrical and Electronic Equipment (WEEE) Directive, setting up efficient collection schemes is necessary to ensure the recovery targets set. Following the subsidiary principle, the WEEE Directive defines only the general requirements for mandatory collection and recycling objectives. The modalities of the logistics and the organisation of the take-back schemes are left to the choice of Member States. In this paper, the implementation of the WEEE Directive and the development of the WEEE recovery infrastructure in Finland are described and the challenges to the effective management of the WEEE recovery system in Finland are expressed. It can be said that the implementation of the WEEE Directive has succeeded in Finland and, at the same time, the legislative basis has been enacted. In addition, a functional WEEE recovery infrastructure has been built and, the collection requirements of the WEEE Directive have been exceeded in a relatively short time. However, the paper outlines that some inefficient practices still exist, particularly in the registration and WEEE collection stages. It is concluded that raising awareness would lead to a more environmentally sound behaviour and would, ultimately, improve WEEE recovery efficiency.     

Implementation of resource management plans: identifying keys to success

One of the primary challenges in resource and environmental planning is successful implementation of plans. Plan implementation is a complex process influenced by many factors. This study identifies 19 criteria affecting implementation success and tests the impact of these criteria through a case study of collaborative plan implementation in British Columbia, Canada. The significance of criteria and degree to which they are met is assessed by a survey of senior officials responsible for plan implementation. An implementation evaluation index (IEI) is constructed to assess the quality of plan implementation systems and best practices for effective implementation are identified.     

Responding to a policy mandate to collaborate: structuring collaboration in the collaborative forest landscape restoration program

The Collaborative Forest Landscape Restoration Program (CFLRP) aims to expand the pace and scale of forest restoration on national forests in the United States. The program requires candidate projects to develop landscape-scale forest restoration proposals through a collaborative process and continue to collaborate throughout planning, implementation, and monitoring. Our comparative case analysis of the initial selected projects examines how existing collaborative groups draw on past experience of collaboration and the requirements of a new mandate to shape collaborative structures as they undertake CFLRP work. While mandating collaboration appears contrary to what is often defined as an informal and emergent process, mandates can encourage stakeholder engagement and renew commitment to overcome past conflict. Our findings also suggest that a collaborative mandate can lead to increased attention and scrutiny, prompting adjustments to collaborative process and structure. As such, mandating collaboration creates dynamic tensions between past experience and new requirements for collaborative practice.