The Precision Problem in Conservation and Restoration. Hiers, J. K., Jackson, S. T., Hobbs, R. J., Bernhardt, E. S., & Valentine, L. E.
The Precision Problem in Conservation and Restoration [link]Paper  doi  abstract   bibtex   
Within the varied contexts of environmental policy, conservation of imperilled species populations, and restoration of damaged habitats, an emphasis on idealized optimal conditions has led to increasingly specific targets for management. Overly-precise conservation targets can reduce habitat variability at multiple scales, with unintended consequences for future ecological resilience. We describe this dilemma in the context of endangered species management, stream restoration, and climate-change adaptation. Inappropriate application of conservation targets can be expensive, with marginal conservation benefit. Reduced habitat variability can limit options for managers trying to balance competing objectives with limited resources. Conservation policies should embrace habitat variability, expand decision-space appropriately, and support adaptation to local circumstances to increase ecological resilience in a rapidly changing world. [Trends] [::] Inappropriately and unjustifiably precise management prescriptions are leading to unintended negative conservation outcomes. [::] Overemphasis on precision and specificity in management planning and policy-'precisionism'-is also homogenizing conservation habitats and landscapes, as planners and policymakers strive to achieve 'optimal' target conditions at the expense of variation. [::] Variation in ecosystems and species habitat usage provide managers with crucial options for balancing often conflicting management directives and responding to local management constraints. [::] Managing for variation maintains options for responding to future climate change while making better use of limited resources in the present.
@article{hiersPrecisionProblemConservation2016,
  title = {The Precision Problem in Conservation and Restoration},
  author = {Hiers, J. K. and Jackson, Stephen T. and Hobbs, Richard J. and Bernhardt, Emily S. and Valentine, Leonie E.},
  date = {2016},
  journaltitle = {Trends in Ecology \& Evolution},
  issn = {0169-5347},
  doi = {10.1016/j.tree.2016.08.001},
  url = {https://doi.org/10.1016/j.tree.2016.08.001},
  abstract = {Within the varied contexts of environmental policy, conservation of imperilled species populations, and restoration of damaged habitats, an emphasis on idealized optimal conditions has led to increasingly specific targets for management. Overly-precise conservation targets can reduce habitat variability at multiple scales, with unintended consequences for future ecological resilience. We describe this dilemma in the context of endangered species management, stream restoration, and climate-change adaptation. Inappropriate application of conservation targets can be expensive, with marginal conservation benefit. Reduced habitat variability can limit options for managers trying to balance competing objectives with limited resources. Conservation policies should embrace habitat variability, expand decision-space appropriately, and support adaptation to local circumstances to increase ecological resilience in a rapidly changing world.

[Trends]

[::] Inappropriately and unjustifiably precise management prescriptions are leading to unintended negative conservation outcomes.

[::] Overemphasis on precision and specificity in management planning and policy-'precisionism'-is also homogenizing conservation habitats and landscapes, as planners and policymakers strive to achieve 'optimal' target conditions at the expense of variation.

[::] Variation in ecosystems and species habitat usage provide managers with crucial options for balancing often conflicting management directives and responding to local management constraints.

[::] Managing for variation maintains options for responding to future climate change while making better use of limited resources in the present.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-14135934,climate-change,communicating-uncertainty,conservation,diversity,ecosystem,ecosystem-resilience,environmental-policy,feedback,integrated-modelling,knowledge-integration,local-over-complication,management,modelling-uncertainty,modelling-vs-management,precisely-wrong,restoration,science-policy-interface,spatial-prioritization,trade-offs,uncertainty}
}
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