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.

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