Invasive Plant Monitoring and Science Needs Jack Ranney, Ecologist, UT S. Appalachian MAB Invasive Spp. Leader Mimosa.

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Presentation transcript:

Invasive Plant Monitoring and Science Needs Jack Ranney, Ecologist, UT S. Appalachian MAB Invasive Spp. Leader Mimosa

Japanese knotweed Monitoring Needs Relate to: Effective public awareness tool Knowing what is where; compiling data for decisions Learning important aspects of invasions for decision-making

Collection date (yyyymmdd) Examiner (full consistent name) Plant scientific name (cultivar optional) Location (lat/long, etc.) Infested area (ac. or ha.) Canopy cover (%) Data mgr/owner County/state (fips code) & country Basic Required Monitoring Data (nawma.org) ( Autumn olive

-Windshield surveys Windshield surveys w/GPS Volunteer w/GPS of spp.* Specialist w/GPS + ecol. var. Systematic transects FIA sampling (modified) Different SAMAB Monitoring Methods Amur bush honeysuckle What & where are the problem species What “stage” of invasion (where are the “fronts” local & regional)

Sporadic sampling not suitable for statistical analysis Linear inventory along ROWs: bias sampling Single point in time: no trends/rates Spotty coverage (conclusions risky) Preliminary Constraints Chinese silvergrass

Data mapped on GIS, comparable Volunteers/communities learning, interest increasing Locating/designing more detailed monitoring Strategic/collaborative management emerging Key stakeholders increasingly involved Stories into mass media Accomplishments Kudzu

Models Needed to Estimate Important Aspects of Invasions Baseline ecological impacts Frame economic impacts Rates of invasion Identify important variables to manage Predict at-risk sites & T&E mgt. Oriental bittersweet

Models to Estimate Important Aspects of Invasions (con’t) Devise/assess control strategies Predict eco-process changes & thresholds Assess multi-species/disturbance regime interactions (cumulative effects) Invasion status Management difficulty Proximity relationships/vectors English ivy

Models on: Forest growth & competition Pest invasions Epidemiology Forest succession Species biology Transportation Climate & microclimate Land use change & population Soil evolution & nutrient cycling Needed: Tools to Build Models Multiflora Rose Data needed from monitoring

Principle Types of Monitoring Data for Models Site moisture, soil type & productivity Forest structure, light, shade Change in cover, edges Dispersal dynamics & patterns Geographic position & patterns Plant associations & diversity T&E species populations Proximal associations Treatment/control history Princess tree

Visualize model of what’s being attempted Decide what monitoring variables serve your purpose Utilize standard formats/protocols Make sure basic variables monitored Think Hard About Your Purpose for Monitoring Tree of heaven