SARP, the GCPO, and SE-LCCs
John Tirpak Science Coordinator Gulf Coastal Plains & Ozarks LCC SARP Steering Committee Nashville, TN 23 May 2012
SARP, the GCPO, and SE-LCCs John Tirpak SARP Steering Committee - - PowerPoint PPT Presentation
SARP, the GCPO, and SE-LCCs John Tirpak SARP Steering Committee Science Coordinator Nashville, TN Gulf Coastal Plains & Ozarks LCC 23 May 2012 Objectives Report on some LCC activities with relevance to SARP Frame the ensuing
John Tirpak Science Coordinator Gulf Coastal Plains & Ozarks LCC SARP Steering Committee Nashville, TN 23 May 2012
– 180 M acres
– Design “sustainable landscapes”
– Steering Committee – Conservation Science Staff – Working Groups
– Steering Committees
– Partnership Advisory Councils
– Science Teams/Strike Teams
Fish Herps Birds Mammals Aquatic Inverts Plants Culture Water East Gulf Coastal Plain/ South Atlantic- Gulf, Tennessee
Interior Highlands/ Missouri, Ohio, Upper Mississippi X X X
Mississippi Alluvial Valley/ Lower Mississippi
West Gulf Coastal Plain/ Arkansas- Red-White, TX-Gulf X o *
Gulf Coast/TX-Gulf X X X
Fed State NGO/Private Partnership Manager Scientist About 50-50 X = confirmed * = verbal
predictions complete for every NHD+ catchment in the South Atlantic Coastal Plain*
from 2009-2050. Urban is red and water is blue.
– Urban growth – Sea level rise – Climate change
*Work from Grand, Terando, Costanzo, and others…
– Yvonne Allen, Army Corps of Engineers (ERDC) – Ricky Campbell, U.S. Fish and Wildlife Service (PJANFH) – Glenn Constant, U.S. Fish and Wildlife Service (BRFCO) – Jan Dean, U.S. Fish and Wildlife Service (NNFH) – Lee Holt, Arkansas Game and Fish Commission – John Tirpak, Gulf Coastal Plains and Ozarks LCC – Nick Wirwa, U.S. Fish and Wildlife Service (SCCNWR)
– Identify habitats similar to the “hotspot” at St. Catherine Creek NWR – Analyze data at St. Catherine Creek NWR to explain gar usage of that area – Identify missing elements of “ideal” gar habitat to direct management – Identify highly suitable places to stock gar – Identify factors to measure to characterize gar habitat at multiple scales
Staging Spawning Summer Winter
Water presence X X X X Water class Lake = optimal River = suitable Temporarily flooded area Any open water River = optimal Lake = suitable Flood frequency Permanent Annual = optimal 1/7 years = minimum Permanent Permanent Water depth 4’-16’ 1’-4’ N/A >10’ Water temperature >50°F 65-72°F N/A N/A Vegetation type N/A Herb.wetlands, ag, and moist-soil = optimal shrub-scrub = suitable N/A N/A Connectivity X X N/A N/A Flood duration N/A 60 days = optimal 10 days = minimal N/A N/A
Data Source Spawning
Water presence NHD+ X Water class NHD+ Temporarily flooded area Flood frequency Landsat imagery River gauges Annual = optimal 1/7 years = minimum Water depth LiDAR 1’-4’ Water temperature Landsat thermal band? 65-72°F Vegetation type NASS CDL Herb.wetlands, ag, and moist-soil = optimal shrub-scrub = suitable Connectivity NHD+ X Flood duration Landsat imagery River gauges 60 days = optimal 10 days = minimal
Data Source Spawning
Water presence NHD+ X Water class NHD+ Temporarily flooded area Flood frequency Landsat imagery River gauges Annual = optimal 1/7 years = minimum Water depth LiDAR 1’-4’ Water temperature Landsat thermal band? 65-72°F Vegetation type NASS CDL Herb.wetlands, ag, and moist-soil = optimal shrub-scrub = suitable Connectivity NHD+ X Flood duration Landsat imagery River gauges 60 days = optimal 10 days = minimal
– Stocking/restoration – Habitat management – Population monitoring
– Population size – Age class distribution – Harvest – Occupancy
– All parishes along Red River from Texas to Mississippi – Potential range of LPM – Pilot in current range of LPM
– Temporal
– Spatial
– Relative habitat quality is sufficient – No need for quantitative occupancy probabilities or strict estimates of individuals
0.02 0.04 0.06 10 20 30 40 50 60 4 8 12 16 0.05 0.1 0.15 0.2 0.25 0.3 Landscape Mussels
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 5 10 15 20 25 30 35 40 45 50 Mussel Landscape
– % canopy within watershed
0.1 0.2 0.3 0.4 0.5 0.6 0.7 10 20 30 40 50 60 70 80 90 100 Mussels Landscape
– % canopy within watershed
– % canopy within watershed – % non-forest within watershed
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 10 20 30 40 50 60 70 80 90 100 Mussels Landscape
– % canopy within watershed – % non-forest within watershed
– % canopy within watershed – % non-forest within watershed
– Conservation targets – “Seeing” the system – Adaptive framework – Science Capacity – Conservation delivery tools – Risk management tools – Monitoring – Engaging the public