Vulnerability and fragility risk indices for non-renewable resources
Anne E Miller1, Nicholas Steele2, Benjamin W Tobin2,3
1Grand Canyon National Park, Science and Resource Management, National Park Service, Grand Canyon, AZ, 86023, USA. AnneMiller317@gmail.com.
Environmental Monitoring and Assessment
|June 4, 2018
Summary
Protected areas can now prioritize resource management using a new quantitative framework. This method assesses vulnerability and fragility, helping managers allocate limited resources effectively for conservation.
Area of Science:
- Environmental Science
- Conservation Biology
- Resource Management
Background:
- Protected areas face challenges in monitoring and managing diverse resources due to funding and staffing limitations.
- Prioritization frameworks are crucial for effective resource management, but existing methods are often qualitative or semi-quantitative.
Purpose of the Study:
- To modify an international vulnerability framework to quantitatively assess resource vulnerability and fragility.
- To develop a six-step process for prioritizing sites for mitigation efforts in protected areas.
Main Methods:
- A modified, internationally standardized vulnerability framework was used to quantify resource vulnerability and fragility.
- A six-step process was implemented: identifying resources and objectives, indicators, scoring criteria, data collection, index calculation, and site prioritization.
- The methodology was applied to cave and fossil sites in Grand Canyon National Park (GRCA).
Main Results:
- The majority of cave and fossil sites in GRCA exhibited moderate to low vulnerability and fragility.
- 5.5% of fossil sites and 21.9% of cave sites were identified as high-priority for management interventions.
- Results align with the known condition of these resources within the park.
Conclusions:
- The developed quantitative framework provides a valuable tool for protected area managers to prioritize monitoring and management actions.
- This method enhances resource protection by enabling data-driven allocation of limited conservation resources.
- The study demonstrates the framework's applicability to diverse resource types like caves and fossils.
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