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首页> 外文期刊>Rangeland Ecology & Management >A strategy for rangeland management based on best available knowledge and information. (Special Issue: Big questions emerging from a century of rangeland science and management.)
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A strategy for rangeland management based on best available knowledge and information. (Special Issue: Big questions emerging from a century of rangeland science and management.)

机译:基于最佳现有知识和信息的牧场管理策略。 (特刊:一个世纪的牧场科学和管理中出现的大问题。)

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摘要

Adapting what we currently know about ecosystems to a future where rangelands are changing is a new frontier in rangeland management. Current tools for knowledge discovery and application are limited because they cannot adequately judge ecological relevance of knowledge to specific situations. We propose development of integrated knowledge systems (KSs) - collections of resources (e.g., data, analytical tools, literature) drawn from disparate domains and organized around topics by process-based conceptual models. An integrated KS would define relevance by ecological attributes (e.g., soils, climate, vegetation) and location as a flexible mechanism for organizing, finding, and applying knowledge to rangeland management. A KS provides knowledge sources within a decision-making framework that defines what knowledge is needed and how it will be used to make decisions. Knowledge from a KS can identify appropriate spatial and temporal scales to address specific resource questions or objectives. Several factors currently limit KS development and implementation. These include limited interoperability of disparate information and knowledge systems; lack of consistent geographic referencing of knowledge; incomplete and inconsistent documentation of the origin, history and meaning of data and information; underexploited application of remote sensing products; limited ability to extrapolate and share local knowledge and unstructured information; and lack of training and education of professionals that can link ecological and technical fields of study. The proposed KS concept and recommendations present an opportunity to take advantage of emerging technologies and the collective knowledge of rangeland professionals to address changing ecosystems and evolving threats. If we keep on with a "business as usual" approach to finding and using information, we will struggle to meet our responsibilities as rangeland professionals.Digital Object Identifier http://dx.doi.org/10.2111/REM-D-12-00021.1
机译:使我们目前对生态系统的了解适应牧场不断变化的未来,是牧场管理的新领域。当前用于知识发现和应用的工具是有限的,因为它们不能充分判断知识与特定情况的生态相关性。我们建议开发集成知识系统(KSs)-从不同的领域中抽取出来的资源(例如数据,分析工具,文献)集合,并通过基于过程的概念模型围绕主题进行组织。整合的KS将通过生态属性(例如土壤,气候,植被)和位置来定义相关性,作为组织,发现并将其应用于牧场管理的灵活机制。 KS在决策框架内提供知识源,该框架定义了所需的知识以及如何将其用于决策。 KS的知识可以确定适当的时空尺度,以解决特定的资源问题或目标。当前有几个因素限制了KS的开发和实施。其中包括不同信息和知识系统的有限互操作性;缺乏一致的地理参考知识;有关数据和信息的起源,历史和含义的文件不完整且不一致;遥感产品的开发利用不足;外推和共享本地知识和非结构化信息的能力有限;缺乏可以将生态和技术研究领域联系起来的专业人员的培训和教育。提出的KS概念和建议提供了一个机会,可以利用新兴技术和牧场专业人士的集体知识来应对不断变化的生态系统和不断变化的威胁。如果我们继续采用“一切照旧”的方式来查找和使用信息,我们将难以履行作为牧场专业人士的职责。数字对象标识符http://dx.doi.org/10.2111/REM-D-12- 00021.1

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