How to Set Up a Research Framework to Analyze Social–Ecological Interactive Processes in a Rural Landscape

How to Set Up a Research Framework to Analyze Social–Ecological Interactive Processes in a Rural Landscape
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如何建立研究框架来分析乡村景观中的社会生态互动过程

DOI:
10.5751/es-01990-120115
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发表时间:
2007
期刊:
影响因子:
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通讯作者:
G. Balent
G. Balent
中科院分区:
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文献类型:
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作者:
M. Deconchat;Annick Gibon;A. Cabanettes;G. D. B. D. Warnaffe;M. Hewison;Eric Garine;André Gavaland;Jean;S. Ladet;C. Monteil;A. Ouin;J. Sarthou;Anne Sourdril;G. Balent

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跨学科研究框架可能有助于为农村环境面临的环境挑战提供答案,但它们的具体实施仍然是经验性的,需要更好的控制。我们介绍了一个跨学科研究项目的实践经验,该项目涉及农村景观中的非工业私人林业。理论背景,管理和方法方面,以及项目的结果,提出,以确定实际的关键因素,可能影响其结果。景观生态学在组织项目中起着核心作用。为了获得相互信任,必须清楚地说明为不同学科的科学家之间的交流所分配的努力。共享相同的嵌套采样区域、通用方法和分析工具(GIS)很重要,但必须通过在模块化和不断发展的框架中实际实现现场工作和数据分析的自主性来平衡。数据集是合作的核心,地理信息系统是确保数据集长期管理和共享的必要条件。从这些项目的实际开发中获得的经验应该更经常地在团队网络中分享,以比较他们的行为并确定共同的功能规则。
Interdisciplinary research frameworks can be useful in providing answers to the environmental challenges facing rural environments, but concrete implementation of them remains empirical and requires better control. We present our practical experience of an interdisciplinary research project dealing with non-industrial private forestry in rural landscapes. The theoretical background, management, and methodological aspects, as well as results of the project, are presented in order to identify practical key factors that may influence its outcomes. Landscape ecology plays a central role in organizing the project. The efforts allocated for communication between scientists from different disciplines must be clearly stated in order to earn reciprocal trust. Sharing the same nested sampling areas, common approaches, and analytical tools (GIS) is important, but has to be balanced by autonomy for actual implementation of field work and data analysis in a modular and evolving framework. Data sets are at the heart of the collaboration and GIS is necessary to ensure their long-term management and sharing. The experience acquired from practical development of such projects should be shared more often in networks of teams to compare their behavior and identify common rules of functioning.