Effective ecological monitoring

Ecologists and managers of natural resources readily acknowledge the importance of long-term studies and monitoring for improved understanding and management of complex environmental systems. Long-term data are crucially important for providing baselines for evaluating environmental change. They are...

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Détails bibliographiques
Auteurs principaux : Lindenmayer David B. (Auteur), Likens Gene E. (Auteur)
Format : Livre
Langue : anglais
Titre complet : Effective ecological monitoring / David B. Lindenmayer et Gene E. Likens
Publié : London, Washington DC : Earthscan , cop. 2010
Description matérielle : 1 vol. (XI-170 p.)
Sujets :
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215 |a 1 vol. (XI-170 p.)  |c ill.  |d 23 cm 
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330 |a Ecologists and managers of natural resources readily acknowledge the importance of long-term studies and monitoring for improved understanding and management of complex environmental systems. Long-term data are crucially important for providing baselines for evaluating environmental change. They are also fundamental for detecting and evaluating changes in ecosystem structure and function, and for evaluating response to disturbances such as climate change or pollution. Countless scientific articles, books, management plans and other documents have been written about the need to conduct long-term studies and monitoring. However, although there have undoubtedly been some highly successful long-term ecological studies and monitoring programs, there is a history of poorly planned and unfocused efforts that are either ineffective or fail completely. In this book, the authors outline some of the key pitfalls and deficiencies in ecological monitoring programs and long-term studies. They then describe some the features of monitoring programs and long-term studies that are essential to make them viable, using case studies such as those of Rothamsted (UK) and the Hubbard Brook Ecosystem Study (USA). Based upon their collective experience spanning 70 years in establishing long-term studies and natural resource monitoring programs, the authors propose a new approach, which they call Adaptive Monitoring, to resolve some of these problems underlying poorly planned and unfocused monitoring programs 
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