What question did this study set out to answer?

To develop a standardized, reproducible algorithm for quantitatively assessing the cumulative environmental and economic impacts of energy and mineral resource development under uncertainty.

May 14, 2013Natural Resources ResearchOpen Access

A Framework for Quantitative Assessment of Impacts Related to Energy and Mineral Resource Development

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Authors

SHSeth S. HainesUnited States Geological Survey JDJay E. DiffendorferUnited States Geological Survey LBLaurie S. BalistrieriUnited States Geological Survey

Discussion

Member takes

Implication

Modeling study demonstrates a probabilistic impact assessment framework for energy and mineral development, highlighting cumulative ecological and economic trade-offs.

Key Points

To develop a standardized, reproducible algorithm for quantitatively assessing the cumulative environmental and economic impacts of energy and mineral resource development under uncertainty.
Constructed a quantitative assessment framework integrating probabilistic resource data with Monte Carlo statistical simulations.
Evaluated multi-scenario use cases linking spatial wildlife distributions (such as sage grouse and lynx habitats), geochemical data, and energy or mineral deposit estimates.
Generated probabilistic outcome distributions that quantify and communicate uncertainties inherent in natural resource data.
Demonstrated flexible applicability across multiple endpoints, including wildlife habitat loss, water quality and quantity changes, and economic benefits.

Cite This Study

Haines et al. (2013) studied this question.

synapsesocial.com/papers/6a88315bc16cbaca05f4cf73 https://doi.org/10.1007/s11053-013-9208-6

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May 14, 2013Natural Resources ResearchOpen Access

A Framework for Quantitative Assessment of Impacts Related to Energy and Mineral Resource Development

View Full Paper

Ask AI

Bookmark

Authors

SHSeth S. HainesUnited States Geological Survey JDJay E. DiffendorferUnited States Geological Survey LBLaurie S. BalistrieriUnited States Geological Survey

Discussion

Member takes

Implication

Modeling study demonstrates a probabilistic impact assessment framework for energy and mineral development, highlighting cumulative ecological and economic trade-offs.

Key Points

To develop a standardized, reproducible algorithm for quantitatively assessing the cumulative environmental and economic impacts of energy and mineral resource development under uncertainty.
Constructed a quantitative assessment framework integrating probabilistic resource data with Monte Carlo statistical simulations.
Evaluated multi-scenario use cases linking spatial wildlife distributions (such as sage grouse and lynx habitats), geochemical data, and energy or mineral deposit estimates.
Generated probabilistic outcome distributions that quantify and communicate uncertainties inherent in natural resource data.
Demonstrated flexible applicability across multiple endpoints, including wildlife habitat loss, water quality and quantity changes, and economic benefits.

Cite This Study

Haines et al. (2013) studied this question.

synapsesocial.com/papers/6a88315bc16cbaca05f4cf73 https://doi.org/10.1007/s11053-013-9208-6

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