The concept of participatory local sustainability projects in seven Chinese villages

SUCCESS was a scientific, multi-disciplinary case study of seven selected villages in China, coordinated by the Viennese research institute Oikodrom in which I have been a team member for 6 years. We assembled an international team of researchers to work together with local team leaders with the aim of involving village dwellers in a sustainability negotiation process. The project had a strong bottom-up approach, combined with top-down elements. Using participatory research methods, village teams discussed and developed ideas for concrete sustainability-oriented projects in their villages. By the end of the 3-year study of SUCCESS, equipped with the seeds of a multiple-scenario building process and the appropriate funding, each of the seven case study villages had generated ideas for local sustainability-oriented projects and put them into practice. The outcome of this participatory process is manifold. One major impact of the implementation of local projects was their visibility which was crucial for the village dwellers' confidence and their motivation to become engaged in a decision making process. The experience of their successful participation in a decision making process empowered them for self-organisation processes or a civil society process. The small projects offered interesting theoretical insights into how local contexts impact upon village dweller's decision on appropriate sustainability interventions. How they are as well in line with characteristics of different types of villages that were carried out within the study will be shown in this article.     

Reference Conditions of Alpine Streams: Physical Habitat and Ecology

Natural and near-natural streams are rare in the densely populated areas of the Alps. A variety of anthropogenic impacts have resulted in the alteration and sometimes even complete destruction of these systems. Nowadays it is difficult to find un-impacted streams that are strongly needed to define the natural variability and ecosystem processes. The results from freshwater inventories and habitat assessments conducted in protected areas in Austria (Nationalpark Hohe Tauern) and Italy (Naturpark Rieserferner-Ahrn) were used to develop a comprehensive typology of Alpine streams. Three different levels were used to discriminate between the distinct stream/river types: source (glacial vs. non-glacial), hierarchy (i.e. location within the stream system) and topography/ channel morphology. Important characters defining the structure and function of these stream types are gradient, substrate composition, flow pattern and riparian vegetation. Benthic fauna assemblages from 99 near-natural stream segments in glacial and non-glacial systems demonstrated the effect of glaciation on abundance levels of the total macroinvertebrate fauna, EPT taxa (Ephemeroptera, Plecoptera and Trichoptera) and the chironomid subfamily Diamesinae in different altitudes. A general decrease of abundances with increasing altitude was found. While stream segments with a degree of glaciation >10% primarily showed reduced abundances at all altitudes, lower (<10%) or no glaciation did not influence invertebrate abundances at lower reaches. Due to the near-natural conditions of the selected stream segments, a valuable definition of reference conditions of Alpine streams based on habitat characteristics is available. As a basis it offers excellent opportunities to conduct holistic interdisciplinary studies in protected areas in the future.     

Methodological approach of coastal areas concerning typology and spatial indicators, in the context of integrated management and environmental assessment

The general objective of this paper is to trigger off the development of a more comprehensive approach to Hellenic coastal areas (in the perspective of territorial cohesion), at local level and especially along the non-urban areas close to the sea. Methodological issues linked to the building of an appropriate coastal database constitute the key goal of this paper (the space and time scale, the relationship to the already proposed set of indicators, the impact of driving forces and policies, the possible sources of data and their feasibility etc.). Furthermore, specific emphasis should be given to the choice of new indicators, particularly for the coastal abiotic environment and the land cover/uses along coastal areas, especially near the seafront. Those indicators should be able to aid the formation (in the near future) of an algorithm linked to the total man-made activities in coastal areas. In conclusion, this paper will be considered successful if the just above illustrated objectives could enrich the argument about the typology of coastal areas and the development of a spatial (coastal) observatory. Actually, this paper is part of a broader research of the author regarding the monitoring of coastal spatial changes in different scales (AMICA, “Appraisal of man-made interventions along the Hellenic coastal areas”). This research aims to broaden the coastal knowledge (not only by means of coastal data) on behalf of all stakeholders been implicated into sustainable spatial planning, integrated coastal management and the strategic environmental assessment along coastal areas.

The four faces of the environmental state: environmental governance regimes in 28 countries

The primary task for the environmental state is to address problems related to the market’s externalisation of environmental costs. It has four main resources at its disposal: regulation, redistribution, organisation, and knowledge generation. The way these four resources are deployed make up a state’s environmental governance arrangements. Using data on environmental regulation, taxes, public administrations, and knowledge production from 28 countries, and a hierarchical cluster analysis, four different types of environmental states are identified: established, emerging, partial, and weak. This is followed by some suggestions for further research on the environmental state in a comparative perspective.     

Adaptation options in agriculture to climate change: a typology

Adaptation in agriculture to climate change is important for impact andvulnerability assessment and for the development of climate change policy. A wide variety of adaptation options has been proposed as having thepotential to reduce vulnerability of agricultural systems to risks related toclimate change, often in an ad hoc fashion. This paper develops atypology of adaptation to systematically classify and characterize agriculturaladaptation options to climate change, drawing primarily on the Canadiansituation. In particular, it differentiates adaptation options in agricultureaccording to the involvement of different agents (producers, industries,governments); the intent, timing and duration of employment of theadaptation; the form and type of the adaptive measure; and the relationshipto processes already in place to cope with risks associated with climatestresses. A synthesis of research on adaptation options in Canadianagriculture identifies four main categories: (i) technological developments,(ii) government programs and insurance, (iii) farm production practices,and (iv) farm financial management. In addition to these `directadaptations', there are options, particularly information provision, that maystimulate adaptation initiatives. The results reveal that most adaptationoptions are modifications to on-going farm practices and public policydecision-making processes with respect to a suite of changing climatic(including variability and extremes) and non-climatic conditions (political,economic and social). For progress on implementing adaptations to climatechange in agriculture there is a need to better understand the relationshipbetween potential adaptation options and existing farm-level andgovernment decision-making processes and risk management frameworks.     

城市屋顶绿化生态功能浅析

屋顶绿化具有多种优越的环境功能,是一项能够有效提升城市生态水平的环境策略,现已被世界上很多发达国家所采用。本文介绍了屋顶绿化的一些基本知识,并对屋顶绿化的环境功能进行了讨论。     

Exploring diversity in soil fertility management of smallholder farms in western Kenya: I. Heterogeneity at region and farm scale

The processes of nutrient depletion and soil degradation that limit productivity of smallholder African farms are spatially heterogeneous. Causes of variability in soil fertility management at different scales of analysis are both biophysical and socio-economic. Such heterogeneity is categorised in this study, which quantifies its impact on nutrient flows and soil fertility status at region and farm scales, as a first step in identifying spatial and temporal niches for targeting of soil fertility management strategies and technologies. Transects for soil profile observation, participatory rural appraisal techniques and classical soil sampling and chemical analysis were sampled across 60 farms in three sub-locations (Emuhaia, Shinyalu, Aludeka), which together represent much of the variability found in the highlands of western Kenya. Five representative farm types were identified using socio-economic information and considering production activities, household objectives and the main constraints faced by farmers. Soil fertility management and nutrient resource flows were studied for each farm type and related to differences in soil fertility status at farm scale. Farm types 1 and 2 were the wealthiest; the former relied on off-farm income and farmed small pieces of land (0.6–1.1 ha) while the latter farmed relatively large land areas (1.6–3.8 ha) mainly with cash crops. The poorest farm type 5 also farmed small pieces of land (0.4–1.0 ha) but relied on low wages derived from working for wealthier farmers. Both farm types 1 and 5 relied on off-farm earnings and sold the least amounts of farm produce to the market, though the magnitude of their cash, labour and nutrient flows was contrasting. Farms of types 3 and 4 were intermediate in size and wealth, and represented different crop production strategies for self-consumption and the market. Average grain yields fluctuated around 1 t ha⁻¹ year⁻¹ for all farm types and sub-locations. Grain production by farms of types 4 and 5 was much below annual family requirements, estimated at 170 kg person⁻¹ year⁻¹. Household wealth and production orientation affected the pattern of resource flow at farm scale. In the land-constrained farms of type 1, mineral fertilisers were often used more intensively (ca. 50 kg ha⁻¹), though with varying application rates (14–92 kg ha⁻¹). The use of animal manure in such small farms (e.g. 2.2 t year⁻¹) represented intensities of use of up to 8 t ha⁻¹, and a net accumulation of C and macronutrients brought into the farm by livestock. In farms of type 5, intensities of use of mineral and organic fertilisers ranged between 0–12 kg ha⁻¹ and 0–0.5 t ha⁻¹, respectively. A consistent trend of decreasing input use from farm types 1–5 was generally observed, but nutrient resources and land management practices (e.g. fallow) differed enormously between sub-locations. Inputs of nutrients were almost nil in Aludeka farms. Both inherent soil properties and management explained the variability found in soil fertility status. Texture explained the variation observed in soil C and related total N between sub-locations, whereas P availability varied mainly between farm types as affected by input use.     

Modelling farm structural change for integrated ex-ante assessment: review of methods and determinants

This paper provides a literature review of methods and determinants relevant for modelling farm structural change within an integrated modelling chain. Environmental and economic impacts at farm level and individual farm responses to agricultural and agri-environmental policies strongly depend on characteristics like farm size, specialisation, and production intensity. Consequently, up-scaling results of corresponding farm type models in ex-ante assessment exercises requires comprehensive and valid predictions of the farm types’ future relevance under different scenarios. The paper reviews methods relevant to forecasting farm numbers in classes defined by farm typologies with the objective to identify (1) a preferable modelling approach and (2) empirically relevant determinants. Despite the literature's considerable size, even recent studies are rather limited in scope and typically restricted to a subset of farm types and one or very few regions. With regard to data availability, computational complexity and statistical validation procedures, Markov chain models are identified as the only generally suitable method for a broadly scoped modelling approach across European regions and a differentiated farm typology. However, other research on determinants of farm growth, the number of farm holders, farm succession as well as new multi-agent based simulation approaches hint at relevant explanatory variables previously not considered in Markov chain analyses. Their impact seems testable in more ambitious cross-regional and cross-farm type setups.