4FRI Biophysical Monitoring Indicators: Assigning Metrics of Success (or Failure) 4FRI Landscape Strategy & Science and Monitoring Working Groups – 2011-2014.

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Presentation transcript:

4FRI Biophysical Monitoring Indicators: Assigning Metrics of Success (or Failure) 4FRI Landscape Strategy & Science and Monitoring Working Groups –

Science Application Developing an Adaptive Management & Monitoring Plan Needs of USFS/ Expectations of Stakeholders Incorporates Stakeholder desired conditions with management guidelines Small group, science-based work on indicators Prioritization Parameterization (for a.m.)

Monitoring is Critical Effectiveness vs. Implementation Foundation of much of what we know Cornerstone of adaptive management PlanActMonitorEvaluateInform Monitor

SMWG – LSWG WORK Prioritization Parameterization

SMWG Work ( ): Monitoring Indicators: Social and Economic (Anne Mottek Lucas) Biophysical (Pete Fule, Matt Williamson, Dave Huffman, Ed Smith)

Developing objectives: An example Stand-Level: Restore resiliency to ponderosa pine stands. Reduce basal area of ponderosa pine by 30%. Treatment Unit Level: Ponderosa pine ecosystems are heterogeneous in structure and distribution. Treatment Unit Level: Ponderosa pine systems have a range of canopy closure at Restoration Unit scales from 20% to 60%. Restoration-unit, Analysis Area, & Landscape –Levels: There is low potential for unnaturally severe fire to spread… Restoration-unit, Analysis Area, & Landscape –Levels: Crown fire potential is reduced to less than 10% across Fire Regime I forests.

Biophysical Indicators STRUCTURECOMPOSITIONPROCESS Tree Size DistributionSnagsTree Mortality Spatial AggregationOld TreesRegeneration Canopy OpennessRare/ Unique HabitatsInsect Pathogens Landscape StructureUnderstory CompositionFuel Hazard Invasive PlantsPotential Fire Behavior Response of Wildlife T&EFire Characteristics Habitat SuitabilityWatershed Function Diversity (plant/wildlife)Soils Wildlife Response (Habitat)Air Quality

SMWG: Setting Benchmarks and Thresholds or Triggers: Science-based literature review to determine if parameters exist “Restoration treatments should reduce the risk of active crown fire by xx% - xx% within Restoration Unit 1” “Restoration treatments should not increase invasive species cover by more than xx% -xx% annually” Need for broader stakeholder engagement to record social zones of agreement/ consensus.

Biophysical Indicator Prioritization In order to prioritize indicators for parameterization, the group identified those unintended consequences / effects that, if realized after 20 years of implementation, would be “show stoppers.” Invasive Species – spread of invasive species that change long-term ecological function and restoration trajectory Soils – irretrievable compaction, erosion, soil moisture Diversity of Plant and Animal Communities – loss of endemic or canopy dependent species Fire – large scale crown fire and type shifts rather than characteristic fire behaviors and frequencies being reestablished at landscape scales Forest Structure – Landscape structure STRUCTURECOMPOSITIONPROCESS Tree Size DistributionSnagsTree Mortality Spatial AggregationOld TreesRegeneration Canopy OpennessRare/ Unique HabitatsInsect Pathogens Landscape StructureUnderstory CompositionFuel Hazard Invasive PlantsPotential Fire Behavior Response of Wildlife T&EFire Characteristics Habitat SuitabilityWatershed Function Diversity (plant/wildlife)Soils Wildlife Response (Habitat)Air Quality

Parameterization of Indicators Based on “most” Desirable Conditions? Based on “most” Undesirable Conditions?

LSWG – SMWG work

IndicatorMeasurable variableTrigger Invasive Plants Species cover TRIGGER: Identification of new or existing “watch list” or “high risk” invasive species populations TRIGGER 2: Identification of areas at high risk of cheatgrass introduction, spread or dominance Landscape Structure Landscape metrics (patch characteristics; configuration; diversity) TBD Diversity (understory community) Bare Soil Within 5 years of treatment (mechanical and/or fire), bare soil should comprise less than 20% of area affected by treatment. Songbird Fine Scale- TBD Broad Scale-Any non-zero decline over a 5-year period Potential Fire Behavior Severity and size of fire; acres of high severity fire; and total acres burned TRIGGER 1: Patch size of adjacent pixels expressing stand replacing fires is greater than 50 acres after 5 years § Patch size of adjacent pixels expressing stand replacing fires is greater than 10 acres after 10 years Soils Soil Moisture Trends of decreasing soil moisture (after adjusting for climatic variability) in stands with similar treatment types and/or physiographic characteristics.

Parameterization of Indicators Science baseline Informed by stakeholders

What is Adaptive Management? Monitoring data must evaluated with respect to our objectives Developing thresholds and benchmarks determines when management should change (or not) PlanActMonitorEvaluateInform

4FRI Adaptive Management Adaptive Management Response 4FRI Stakeholder Group Data Analysis Activity Reports Data Collection & Database Coordination & Storage Forest Service Leadership & Staff Change Needed: Within NEPA effects. Chapter 18 needed. New NEPA No Management Change Needed Desired Conditions 1 Monitoring Questions Monitoring Plan COLLABORATIVE PROCESS Semi-annual USFS Monitoring Coordinators: 100% Forest Service Cost-shared (doesn’t exist!) Monitoring Board Implementation targets Effectiveness triggers and thresholds Knowledge Summary and Dissemination

Openness Indicator: Canopy Cover Method: RSAC protocol and tool/ Contract work with NAU/ CSP Trigger: Trigger is unexpected deviation from Table 64/ Silvi Report (update with Final EIS) desired conditions. AM: Increase or focus monitoring efforts on areas with unexpected deviation. Re-assess with SHG. Learning Objective: this is a starting point to learn how treatments impact trends in openness.

Questions