Literature DB >> 19409648

Adaptive monitoring: a new paradigm for long-term research and monitoring.

David B Lindenmayer1, Gene E Likens.   

Abstract

Long-term research and monitoring can provide important ecological insights and are crucial for the improved management of ecosystems and natural resources. However, many long-term research and monitoring programs are either ineffective or fail completely owing to poor planning and/or lack of focus. Here we propose the paradigm of adaptive monitoring, which aims to resolve many of the problems that have undermined previous attempts to establish long-term research and monitoring. This paradigm is driven by tractable questions, rigorous statistical design at the outset, a conceptual model of the ecosystem or other entity being examined and a human need to know about ecosystem change. An adaptive monitoring framework enables monitoring programs to evolve iteratively as new information emerges and research questions change.

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Year:  2009        PMID: 19409648     DOI: 10.1016/j.tree.2009.03.005

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  58 in total

1.  Assessing and forecasting the impacts of global change on Mediterranean rivers. The SCARCE Consolider project on Iberian basins.

Authors:  Alícia Navarro-Ortega; Vicenç Acuña; Ramon J Batalla; Julián Blasco; Carlos Conde; Francisco J Elorza; Arturo Elosegi; Félix Francés; Francesc La-Roca; Isabel Muñoz; Mira Petrovic; Yolanda Picó; Sergi Sabater; Xavier Sanchez-Vila; Marta Schuhmacher; Damià Barceló
Journal:  Environ Sci Pollut Res Int       Date:  2012-04-29       Impact factor: 4.223

Review 2.  Putting the "ecology" into environmental flows: ecological dynamics and demographic modelling.

Authors:  Will Shenton; Nicholas R Bond; Jian D L Yen; Ralph Mac Nally
Journal:  Environ Manage       Date:  2012-04-28       Impact factor: 3.266

3.  National Inventory of Landscapes in Sweden (NILS)--scope, design, and experiences from establishing a multiscale biodiversity monitoring system.

Authors:  Göran Ståhl; Anna Allard; Per-Anders Esseen; Anders Glimskär; Anna Ringvall; Johan Svensson; Sture Sundquist; Pernilla Christensen; Asa Gallegos Torell; Mats Högström; Kjell Lagerqvist; Liselott Marklund; Björn Nilsson; Ola Inghe
Journal:  Environ Monit Assess       Date:  2010-03-17       Impact factor: 2.513

Review 4.  Improved probability of detection of ecological "surprises".

Authors:  D B Lindenmayer; G E Likens; C J Krebs; R J Hobbs
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-23       Impact factor: 11.205

Review 5.  Interactions among ecosystem stressors and their importance in conservation.

Authors:  Isabelle M Côté; Emily S Darling; Christopher J Brown
Journal:  Proc Biol Sci       Date:  2016-02-10       Impact factor: 5.349

6.  Quantifying Variability in Four U.S. Streams Using a Long-Term Dataset: Patterns in Biotic Endpoints.

Authors:  Camille A Flinders; Douglas B McLaughlin; Renee L Ragsdale
Journal:  Environ Manage       Date:  2015-05-01       Impact factor: 3.266

7.  Solar energy development and aquatic ecosystems in the southwestern United States: potential impacts, mitigation, and research needs.

Authors:  Mark Grippo; John W Hayse; Ben L O'Connor
Journal:  Environ Manage       Date:  2014-10-21       Impact factor: 3.266

8.  Improving ecological response monitoring of environmental flows.

Authors:  Alison J King; Ben Gawne; Leah Beesley; John D Koehn; Daryl L Nielsen; Amina Price
Journal:  Environ Manage       Date:  2015-04-03       Impact factor: 3.266

9.  Monitoring for a specific management objective: protection of shorebird foraging habitat adjacent to a waste water treatment plant.

Authors:  Liz Morris; David Petch; David May; William K Steele
Journal:  Environ Monit Assess       Date:  2017-04-06       Impact factor: 2.513

Review 10.  Learning from single extreme events.

Authors:  Res Altwegg; Vernon Visser; Liam D Bailey; Birgit Erni
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-06-19       Impact factor: 6.237

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