Literature DB >> 10552098

FORUM: Hypothesis-Driven Experimental Research Is Necessary for Natural Resource Management.

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Abstract

/ Effective management of natural resources must be grounded in a solid scientific understanding of the ecosystem and its responses to natural and human-induced stress. Such an understanding does not arise easily from observational data and models that are not substantiated by experimental data. Cause-and-effect relationships are more easily documented when observations and/or models are supplemented by hypothesis-driven experimental research. In this paper we present three examples from south Florida where hypothesis-driven experimental research has been combined with observational data collection to address specific resource management questions. These include research to determine: (1) the cause of cattail expansion in the Everglades; (2) a threshold phosphorus concentration for the Everglades; and (3) optimal salinity criteria for Florida estuaries. In each case, the results have led to a better understanding of ecosystem function and more sound guidance for resource managers than was possible without the hypothesis-drive experimental research. Resource managers need to recognize the merits of this holistic approach to environmental science and management if we are to have success in reversing detrimental human impacts on natural ecosystems.

Entities:  

Year:  2000        PMID: 10552098     DOI: 10.1007/s002679910001

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  4 in total

1.  Land management in the American southwest: a state-and-transition approach to ecosystem complexity.

Authors:  Brandon T Bestelmeyer; Jeffrey E Herrick; Joel R Brown; David A Trujillo; Kris M Havstad
Journal:  Environ Manage       Date:  2004-05-28       Impact factor: 3.266

2.  Fuzzy modeling of interactions among environmental stressors in the ecosystem of Lake Koronia, Greece.

Authors:  Irene A Ioannidou; Stephanos Paraskevopoulos; Panagiotis Tzionas
Journal:  Environ Manage       Date:  2003-11       Impact factor: 3.266

3.  Inferring cetacean population densities from the absolute dynamic topography of the ocean in a hierarchical Bayesian framework.

Authors:  Mario A Pardo; Tim Gerrodette; Emilio Beier; Diane Gendron; Karin A Forney; Susan J Chivers; Jay Barlow; Daniel M Palacios
Journal:  PLoS One       Date:  2015-03-18       Impact factor: 3.240

Review 4.  Bat Research Networks and Viral Surveillance: Gaps and Opportunities in Western Asia.

Authors:  Kendra L Phelps; Luke Hamel; Nisreen Alhmoud; Shahzad Ali; Rasit Bilgin; Ketevan Sidamonidze; Lela Urushadze; William Karesh; Kevin J Olival
Journal:  Viruses       Date:  2019-03-10       Impact factor: 5.048

  4 in total

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