WATERCRAFT DATA Standardized Inspection Data Collection, Analysis, - PowerPoint PPT Presentation

WATERCRAFT DATA Standardized Inspection Data Collection, Analysis, and Applications NYSFOLA Watercraft Inspection Steward Program Leaders Workshop May 1, 2015. Dr. Eric Holmlund, Adirondack Watershed Institute Steward Program

WHY COLLECT DATA?

WHY SHOULD WE COLLECT AND ANALYZE DATA ON INVASIVE SPECIES AND WATERCRAFT? Planning- Do we know where we’re needed? Traffic levels? Time? Boat types? Comparative Risk of locations? Accountability- Do we know if the employee was on duty? Can we follow up on a key find or incident? Impact- Can we determine if our program makes a difference? “Saves,” finds, and changed user behavior. Justification- Are program dollars well spent? $ per inspection? $ per save? $ per week? Builds buy-in. GB

What does the data show us? USE PATTERNS : 4 5 % a s u r e s n m e e n t i o p r e v p r e a d k i n g s r s t a v i s i t o % o f 1 , 3 4 3 t e d : n s p e c o a t s i B 3 % i s m s : o r g a n w i t h o a t s c t e d b n s p e % i : 1 0 e p t e d n t e r c A I S i : 6 5 r w a y s w a t e s i t e d u s l y v i e v i o # o f p r 7 0 s : 3 , 2 i s i t o r # v t o t a l # e o a t T y p B y b o a t s t e r b o d W a D o c k s S U P R B C K S P W C M 1 3 4 3 1 0 7 0 5 6 7 1 5 0 0 5 8 1 1 a k e e r r y L C r a n b 1 0 0 % 0 % % 1 % 0 0 % 4 % 5 % % 0 % % 4 8 6 percentage of total boats M = motorboat; PWC = personal watercraft; S = sailboat; C = canoe; K = kayak; B = construction barge; R = rowboat; SUP= stand-up paddleboard; Docks = boat docks launched for seasonal installation/maintenance

What does the data show us? AIS FOUND e d d n s p e c t s f o u n % o f i g a n i s m o f # o r # t o t a l b o a t s # o d y W a t e r b d i r t y b o a t s o n s s p e c t i t y i n d i r l e a v i n g e r i n g l e e n t p e o p 3 % 0 1 1 6 6 3 1 7 3 0 3 2 7 0 k e r y L a a n b e r C r n o w n . o r u n k v a s i v e n o n - i n v a s i v e , r i a l , i n c m a t e o r g a n i t h a n y r a f t w i w a t e r c d i r t y = b o a t s Waterbody Organism Type % of inspected total BW CLP* ELO EWM* GRS NM UM VLM* PN SWF* WC* H* ZM* NP WL other boats with AIS AIS C r a n b e r r y L a k e 0 4 1 5 1 9 2 1 1 4 0 0 0 0 1 4 5 1 0 1 % percentage of organisms removed 0 % 9 % 2 % 1 1 % 4 0 % 4 % 2 % 2 % 9 % 0 % 0 % 0 % 0 % 2 % 9 % 1 1 % BW = bladderwort; CLP = curly-leaf pondweed; ELO = elodea; EWM = Eurasian watermilfoil; GRS = grass; NM = native milfoil; UM = unknown milfoil; VLM = variable leaf milfoil; PN = pine needles; SWF = spiny waterflea; WC= water chestnut; H= Hydrilla; ZM = Zebra mussel; NP= native pondweed; WL= water lily; */AIS = aquatic invasive species. # found on # found on Cranberry Lake: Aquatic Invasive Previous Waterway Previous Waterway boats retrieving boats launching Species Intercepted by Stewards, 2014 Cranberry Lake (1) St. Lawrence River (2), None ( 1 Curly-leaf pondweed 3 Lake Bonaparte (3), St. N/A 0 5 Eurasian water milfoil Lawrence River (2) Thousand Islands (1) 1 N/A Variable-leaf milfoil 0 2 8 Totals

What does the data show us? USER BEHAVIOR a s u r e s o n m e u p s v e n t i # g r o a d p r e S s p r e i n g A I p s t a k # g r o u a s k e d s k b o d y d n ' t a W a t e r y d i D r D i s L W B B D B W B I s y e 1 1 3 5 9 1 0 9 8 5 8 1 1 6 9 2 6 0 8 1 3 5 2 6 9 1 3 5 a k e e r r y L r a n b C N A 9 % 7 % % 1 0 8 % 1 4 % 2 % % 3 2 4 4 5 % percentage of total # groups asked b i l g e ; a i n e d B = d r o a t ; D h e d b = w a s a t ; W B e d b o n s p e c t s ; I = i e a s u r e o n m e v e n t i e a d p r A I S s p r m o r e n e o r o o k o Y e s = t t . e d b o a y = d r i a i t ; D r s e d b o f u n u p o s e d s = d i s e l l ; D i l i v e w r a i n e d W = d c k e t ; L b a i t b u p t i e d = e m B B 1600 Number of AIS Removed & 90 1400 Watercraft Inspected 80 % of Visitors Taking Spread 1200 70 Prevention Measures 1000 60 50 800 40 600 30 400 20 200 10 0 0 2011 2012 2013 2014 AIS Removed 30 27 26 10 Watercraft Inspected 1097 1208 1423 1343 % of Vistors Taking Spread Prevention 53 60 77 73 Measures

What does the data show us? USER ORIGINS Cranberry Lake: Previous waterways Cranberry Lake: Previous waterways Cranberry Lake: Previous waterways # visits # visits # visits visited, 2014 visited, 2014 visited, 2014 Cranberry Lake 625 Tully Lake 3 Fish Creek Ponds 1 None 315 Black Lake 2 Great Sacandaga Lake 1 Did not ask 81 Brantingham Lake 2 Green River Reservoir, VT 1 State of Boat Registration St. Lawrence River 28 Cayuga Lake 2 Irondequoit Bay 1 Lake Bonaparte 24 Conesus Lake 2 Joe Indian Pond 1 PA, 2% Lake Ontario 22 Grasse River 2 Lake George 1 Tupper Lake 18 Lake Champlain 2 Lake Kushaqua 1 Rental 10 Lake Winnipesaukee, NH 2 Lake Pocotopaug 1 Black River 6 Massawepie Lake 2 Long Island Sound 1 Carry Falls Reservoir 5 Mohawk River 2 Lower Saranac Lake 1 Higley Flow 5 Raquette River 2 Massachusetts 1 NY, 91% Lake Erie 5 Red Lake 2 New Jersey 1 Oneida Lake 5 Saratoga Lake 2 Oswego River 1 Saranac Lake Chain 5 St. Regis River 2 Owasco Lake 1 USPS State Abbreviation Lake Flower 4 Star Lake 2 Pine Lake, WI 1 CT DE FL IN MI MD MS Butterfield Lake 3 Balsalm Pond 1 Schroon Lake 1 MA MT NC NH NJ NY OH Chateaugay Lake 3 Buck Pond 1 Schuyler Lake 1 PA RI TN TX VA VT WI Flat Rock Reservoir 3 Canandaigua Lake 1 Silver Lake, Western NY 1 Fourth Lake 3 Charleston Lake, Ontario 1 Stillwater Reservoir 1 Lake Placid 3 Clearwater Reservoir 1 Thousand Islands 1 Long Lake 3 Connecticut River 1 Unknown Lake 1 Oswegatchie River 3 Duck Lake 1 Vermont 1 Skaneateles Lake 3 Erie Canal 1 Whitney Point Reservoir 1 Total 1244

What does the data show us? NETWORKS W a t e r w a y s v i s i t e d i n p r e v i o u s 2 w e e k s b y i n c o m i n g v e s s e l s t o C r a n b e r r y L a k e . V e c t o r s w e i g h t e d t o d e n o t e

What does the data show us? NETWORKS W a t e r w a y s v i s i t e d i n p r e v i o u s 2 w e e k s b y i n c o m i n g v e s s e l s t o C r a n b e r r y L a k e . V e c t o r s w e i g h t e d t o d e n o t e e n o t e e d t o d w e i g h t e c t o r s L a k e . V F o u r t h s e l s t o n g v e s i n c o m i e k s b y d u s 2 w e A I S ; r e p r e v i o e d w i t h i t e d i n n i n f e c t w a y s v i s o d i e s u W a t e r w a t e r b i s i t t o v

What does the data show us? NETWORKS

Good Data = Strategic Placement of Stewards and Decon Stations ADIRONDACK PARKWIDE AIS PREVENTION PILOT PROGRAM (NYSDEC)

WHAT KINDS OF INFO DO WE COLLECT?

KEY DATA POINTS TO COLLECT T op Priority: Previously Visited Waterway (Q) Boat Type (O) Date/time (O) GB

KEY DATA POINTS TO COLLECT Second Priority: Organism type (O) Launching or Retrieving (O) Spread Prevention Measures THEY took BEFORE arriving (Q) Inspector name (O) GB

FORMATTING Collect data the same way, each time Easier to interpret and share iPad mini- works for us GB

DATA ENTRY INTO EXCEL Paper forms = hand entry- laborious and prone to error! Standardize spelling, capitalization and spaces (St. vs. Saint vs. St) HUNDREDS of waterway names! Data manager enter AND check weekly for clarity and follow-up with field staff Memory fades…. GB