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Review | Open Access

Forest observational studies-an essential infrastructure for sustainable use of natural resources

XiuHai Zhao1, Javier Corral-Rivas2, ChunYu Zhang1, Hailemariam Temesgen3, Klaus v Gadow4,5 
Beijing Forestry University, Beijing, China
Universidad Autonóma de Nuevo León, Durango, México
Oregon State University, Corvallis, USA
Burckhardt Institute, Georg-August University, Göttingen, Germany
Institute of Forestry and Wood Science, University of Stellenbosch, Stellenbosch, South Africa
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Abstract

This contribution complements Forest Ecosystems' Thematic Series on "Forest Observational Studies". We provide essential clarification regarding the definition and purpose of long-term field studies, review some of the extensive literature and discuss different approaches to collecting field data. We also describe two newly established forest observational networks that serve to illustrate the scope and diversity of forest field studies. The first is a large-scale network of forest observational studies in prominent natural forest ecosystems in China. The second example demonstrates observational studies in mixed and uneven-aged pine-oak forests which are selectively managed by local communities in Mexico. We summarize the potential for analysing and modeling forest ecosystems within interdisciplinary projects and provide argumentation in favour of long-term institutional commitment to maintaining forest observational field studies.

Keywords

MexicoChinaIndiaLongitudinalCross-sectionalInterval studyExperimentSocial media surveillance

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Forest Ecosystems
Volume 1 Issue 2,
June 2014
Article number: 8
DOI: 10.1186/2197-5620-1-8

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Cite this article:
Zhao X, Corral-Rivas J, Zhang C, et al. Forest observational studies-an essential infrastructure for sustainable use of natural resources. Forest Ecosystems, 2014, 1(2): 8. https://doi.org/10.1186/2197-5620-1-8

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Received: 30 December 2013
Accepted: 24 February 2014
Published: 11 April 2014
© 2014 Zhao et al.; licensee Springer.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.