Systems of Knowledge: Dialogue, Relationships and Process

During the last 20 years, the existence of rich systems of local knowledge, and their vital support to resource use and management regimes, has been demonstrated in a wide range of biological, physical and geographical domains, such as agriculture, animal husbandry, forestry and agroforestry, medicine, and marine science and fisheries.Local knowledge includes empirical and practical components that are fundamental to sustainable resource management. Among coastal-marine fishers, for example, regular catches and, often, long-term resource sustainment are ensured through the application of knowledge that encompasses empirical information on fish behaviour, marine physical environments, fish habitats and the interactions among ecosystem components, as well as complex fish taxonomies. Local knowledge is therefore an important cultural resource that guides and sustains the operation of customary management systems. The sets of rules that compose a fisheries management system derive directly from local concepts and knowledge of the resources on which the fishery is based.Beyond the practical and the empirical, it is essential to recognise the fundamental socio-cultural importance of local knowledge to any society. It is through knowledge transmission and socialisation that worldviews are constructed, social institutions perpetuated, customary practices established, and social roles defined. In this manner, local knowledge and its transmission, shape society and culture, and culture and society shape knowledge.Local knowledge is of great potential practical value. It can provide an important information base for local resources management, especially in the tropics, where conventionally-used data are usually scarce to non-existent, as well as providing a shortcut to pinpoint essential scientific research needs. To be useful for resources management, however, it must be systematically collected and scientifically verified, before being blended with complementary information derived from Western-based sciences.But local knowledge should not be looked on with only a short-term utilitarian eye. Arguments widely accepted for conserving biodiversity, for example, are also applicable to the intellectual cultural diversity encompassed in local knowledge systems: they should be conserved because their utility may only be revealed at some later date or owing to their intrinsic value as part of the world's global heritage.At least in cultures with a Western liberal tradition, more than lip-service is now being paid to alternative systems of knowledge. The denigration of alternative knowledge systems as backward, inefficient, inferior, and founded on myth and ignorance has recently begun to change. Many such practices are a logical, sophisticated and often still-evolving adaptation to risk, based on generations of empirical experience and arranged according to principles, philosophies and institutions that are radically different from those prevailing in Western scientific circles, and hence all-but incomprehensible to them. But steadfastly held prejudices remain powerful.In this presentation I describe the 'design principles' of local knowledge systems, with particular reference to coastal-marine fishing communities, and their social and practical usefulness. I then examine the economic, ideological and institutional factors that combine to perpetuate the marginalisation and neglect of local knowledge, and discuss some of the requirements for applying local knowledge in modern management.     

Modelling the outcrossing between genetically modified and conventional maize with equation discovery

Many studies explore the feasibility of co-existence between genetically modified (GM) and conventional (non-GM) crops. An important research topic in these studies is the process of outcrossing, i.e., the process of gene flow via pollen flow from GM to non-GM crops. In this paper, we address a new modelling approach to define the environmentally driven processes of outcrossing for maize from existing empirical datasets. In particular, we use equation discovery methodology that combines background knowledge and empirical data from several studies. We induce models that predict the degree of outcrossing rate between the donor (GM) and the recipient (non-GM) maize field from the distance between the fields and the local wind characteristics (speed, direction and duration). This results in highly accurate models, for which both variables (distance and wind) are essential and of roughly equal importance.     

National laws and policies can enable or confound adaptive governance: Examples from South African national parks

There is growing appreciation that protected areas, like all social-ecological systems (SES), are inherently complex and face an unpredictable future under the influence of global environmental change. Adaptive management is the accepted approach for managing complex SES to ensure their resilience, but unless it is supported by a governance system that is itself adaptive it has little chance of success. Scholars have identified certain principles conducive to adaptive governance. Environmental legislation, an important component of the governance system, is often misaligned with these principles. In this paper we assess adaptive governance principles with regard to legislation governing South Africa’s national parks. This assessment indicates that, to enable adaptive governance and adaptive management, legislation should (1) be co-produced by policy-makers, policy implementers and users of protected area ecosystem services; (2) commit and empower management agencies to apply the principles of adaptive governance and adaptive management, particularly in the collaborative development of management plans; (3) commit agencies to review management plans and allow flexibility to adapt plans; (4) ensure that the temporal and spatial scales of the governance system match those of the SES being managed; (5) anticipate change and avoid assumptions of system stability and predictability; and (6) provide for flexible financing mechanisms, so that funds can be prioritised and timed to meet the unpredictable demands of complex systems.     

Gaps in provincial decision-maker’s perception and knowledge of climate change adaptation in China

The perspectives and knowledge of decision makers, especially those at the provincial level, have great impact on the progress of climate change adaptation in China. Therefore, identifying knowledge gaps and enhancing climate adaptation awareness of decision makers at that level is very important. Based on this aim, we conducted a survey of climate change adaptation awareness among 85 administrative and management personnel from governmental departments responsible for climate change adaptation planning in five provinces. Study findings revealed that over half of respondents have knowledge of climate change adaptation measures, but the extent of understanding varied across different adaptation aspects and regions. Among the different aspects, understanding of measures related to human health protection was the lowest. A large majority of respondents indicated an eagerness to obtain knowledge and information about climate change adaptation, but the main barrier is a lack of training and learning material. When making adaptation plans or policies, the greatest obstacle expressed was a funding shortage. Information generated from this study can provide direction and guidance for training and educating provincial decision makers in order to improve the levels of adaptation planning and policy making.     

细脉浮萍和紫背浮萍在污水营养条件下的生长特性

浮萍类植物是污水生态工程处理技术中吸收转化氮磷等营养物质的重要植物类群.氮磷是浮萍生长所必需的主要结构组成物质,因此浮萍生物量的增长速率决定了其对氮磷吸收转化的能力.本研究采用序批式培养和连续式培养2种方式探讨了细脉浮萍(Lemna aequinoctialis) 和紫背浮萍(Spirodela polyrrhiza) 在污水营养条件下的生长特性,并利用单种种群增长的Logistic模型对生物量的增长曲线进行了分析.研究结果表明浮萍的鲜生物量和干重随时间变化的增长曲线具有"S"型特点,在特定的环境和营养条件下,单位面积上浮萍生物量的增长受密度的制约.Logistic拟合的结果表明浮萍生物量的增长符合种群的Logistic增长规律,浮萍在有限环境中生物量有最大值:最大承载量,当密度达到最大承载量一半时,其生物量的增长速率最大.实验结果及模型分析结果均表明2种浮萍在氨氮人工培养液中的生长速率比在硝酸氮培养液中低.细脉浮萍生长速率及含水率均高于紫背浮萍.本文还探讨了浮萍的Logistic增长规律在浮萍生物量收获管理中的应用.     

Effective risk governance for environmental policy making: A knowledge management perspective

Effective risk management within environmental policy making requires knowledge on natural, economic and social systems to be integrated; knowledge characterised by complexity, uncertainty and ambiguity. We describe a case study in a (UK) central government department exploring how risk governance supports and hinders this challenging integration of knowledge. Forty-five semi-structured interviews were completed over a two year period. We found that lateral knowledge transfer between teams working on different policy areas was widely viewed as a key source of knowledge. However, the process of lateral knowledge transfer was predominantly informal and unsupported by risk governance structures. We argue this made decision quality vulnerable to a loss of knowledge through staff turnover, and time and resource pressures. Our conclusion is that the predominant form of risk governance framework, with its focus on centralised decision-making and vertical knowledge transfer is insufficient to support risk-based, environmental policy making. We discuss how risk governance can better support environmental policy makers through systematic knowledge management practices.     

Redressing cultural erosion and ecological decline in a far North Queensland aboriginal community (Australia): the Aurukun ethnobiology database project

Traditional environmental knowledge (usually imparted orally) is being lost from many regions of the world, requiring novel forms of transmission if this situation is to be redressed. Loss of this knowledge may be a significant contributory factor towards ecological decline. Undoubtedly, disruption to ecosystems and societies that depend on these has impacted on traditional land management practices, with negative ramifications for biodiversity. From an environmental perspective, scientists in northern Australia need to understand traditional Aboriginal methods of ‘caring for country’, such as burning regimes, so that these can be incorporated into strategies today for maintaining Australia’s rich biodiversity. However, information exchange should be two-way: as well as learning from local people, science can in turn benefit people who may have little experience of, for example, invasive species. The challenge is how can the complexity of biological knowledge from within different ontologies be represented and integrated in a way that it can be of use to scientists and local people, in order to ensure a sustainable future? The main aim of this study was to record existing local knowledge of biodiversity for the community of Aurukun (far north Queensland), integrating this knowledge with scientific data, while giving parity to both knowledge systems and protecting intellectual property rights. A cross-cultural collaboration between community members and ethnobiologists resulted in development of the Aurukun Ethnobiology Database. An interdisciplinary approach was taken to effectively model autochthonous biological knowledge and scientific data to create a database with a number of practical applications.     

Environmental knowledge memory: Contribution of the DIK model

A company does not only generate goods and services which meet the requirements in terms of deadlines, costs, quality and environment, but it also generates knowledge that must be capitalized. In order for a company to benefit from the skills and competences acquired during the realization of a project, some processes of memorization prove to be necessary. This article fits in this context and aims at suggesting a knowledge capitalization model in order to create a capital of environmental knowledge.To illustrate our suggestion, we have chosen an Environmental Performance Contract (EPC) signed by tens of Algerian companies which are reputed for their pollution of the environment. Capitalizing this knowledge allows these companies to anticipate on their environmental management and to guarantee the success of the EPC.