BLACK BEAR HARVEST SUMMARY 2018 Lauren McAllister with her St. Lawrence County black bear, September 2018. Results reported in this document were funded by the Federal Aid in Wildlife Restoration Act. Grant WE-173-G   www.dec.ny.gov NEW YORK STATE DEPARTMENT OF ENVIRONMENTAL CONSERVATION 2018 Bear Harvest Summary Northern Zone Early Bow Muzzleloader Regular Youth % Female : % Male Southern Zone Early Bow Muzzleloader Regular Youth % Female : % Male New York State Early Bow Muzzleloader Regular Youth % Female : % Male 100% 80% 60% 40% 20% 0% 5‐Year Average       Historical Average    (2013 ‐ 2017) (1991‐2000) 2018 2017 491 383 476 515 259 55 48 129 0 45% ‐ 55% 82 25 33 242 1 38% ‐ 62% 176 33 53 213 NA 38% ‐ 62% 172 15 25 303 NA 43% ‐ 57% 804 1,037 179 294 18 302 11 41% ‐ 59% 150 330 12 537 8 40% ‐ 60% 1,056 227 207 NA 332 12 528 NA 41% ‐ 59% 54 1 153 NA 37% ‐ 63% 1,295 1,420 1,532 722 438 349 66 431 11 42% ‐ 58% 232 355 45 779 9 39% ‐ 61% 357 365 65 741 NA 40% ‐ 60% 172 69 26 455 NA 41% ‐ 59% Bear Take by Implement Northern Zone Southern Zone Page 2 Black Bear Harvest Density 2018 5A 6A 5C 6F 6C 5F 6H Northern Zone 6G 6J 5G 6N 5H 7A 8A 9A 8C 9A 8F 8G 9F 5T 6K 9C 8H 5J 6P 7F 6S 7J 8J 5S 6R 5R 4C 4A 9H 8N 8M 9G 8R 9N 9M 9K 9J 9W 9R 9S 8P 9Y 9X 7R 8X 4F 4K 7P 4P 4Y 8Y 4U 4T 4S 4R 4O Southern Zone 4B 4H 4G 8W 4L 4J 7M 8S 9P 8T 9T 7H 7S 4Z 3A 4W Allegany State Park prohibits bear hunting 3C 3H Bears Taken per 100 Square Miles 0.05 - 2.5 WMUs 2.6 - 5.0 No Bear Hunting 3F 3J 3G 3K 3M 3N 3P 3R 3S 5.1 - 10.0 10.1 - 15.0 1C 2A 1A 15.1 - 32.0 NYSDEC Bureau of Wildlife, February 2018 Page 3 2018 NEW YORK STATE BLACK BEAR TAKE BY WILDLIFE MANAGEMENT UNIT Season Key: E = Early, B = Bowhunting, M = Muzzleloader, R = Regular, Y = Youth, T = Total Northern 3M 13 25 1 13 0 52 8W 0 0 0 5 0 5 3P 0 3 3 4 0 10 8X 0 10 1 14 0 25 NEW YORK STATE BEAR TAKE BY SEX* WMU 5A E 5 B 0 M 1 R 2 Y 0 T 8 4A 0 1 0 0 0 1 8Y 0 12 0 12 0 24 5C 28 8 4 14 0 54 4B 0 0 0 3 0 3 9A 0 2 0 0 0 2 5F 15 3 2 4 0 24 4F 0 1 0 0 0 1 9H 0 1 1 2 0 4 5G 16 6 8 8 0 38 4G 0 4 0 14 0 18 9J 0 5 0 13 0 18 5H 73 15 6 24 4H 0 8 0 8 0 16 9K 0 3 1 3 1 8 SZ 5J 7 6 7 10 0 118 0 30 4K 0 4 0 2 0 6 9M 0 2 0 5 0 7 6A 0 1 0 3 0 4 4L 0 5 0 3 0 8 9N 0 2 0 0 0 2 Female Male 63 4O 0 9 1 9 0 19 9P 0 5 1 8 0 14 18 6 0 8 0 32 9R 0 4 0 2 0 6 6C 35 2 7 19 0 6F 30 3 6 14 0 53 4P 6G 0 0 2 0 0 2 4R 18 6 0 1 2 27 9T 0 2 3 4 0 9 6H 11 2 0 5 0 18 4S 0 6 0 4 1 11 9W 0 0 0 2 1 3 6J 39 7 5 12 0 63 4T 0 0 0 3 0 3 9X 0 7 1 1 0 9 0 3 0 2 1 6 9Y 0 4 0 3 0 7 6K 0 2 0 6 0 8 4U 6N 0 0 0 8 0 8 4W 0 14 0 15 0 29 4Y 0 3 0 1 0 4 4Z 0 8 0 6 1 15 5R 0 2 0 0 0 2 5S 0 3 0 6 0 9 6R 0 3 1 8 0 12 7M 0 1 0 1 0 2 7P 0 1 0 4 0 5 7R 0 0 0 2 0 2 Northern Zone 491 259 55 48 129 0 Early Bowhunting Muzzleloader Regular Youth Southern WMU 3A E B M 21 12 0 R 8 Y 1 T 42 7S 0 4 1 12 0 17 8G 0 0 0 1 0 1 3C 50 28 1 16 3 98 8M 0 1 0 0 0 1 3G 0 7 1 5 0 13 8N 0 3 0 2 0 5 3H 15 11 0 15 0 41 8P 0 8 1 7 0 16 3J 16 18 0 11 0 45 8R 0 1 0 1 0 2 3K 28 15 0 21 0 64 8T 0 11 0 12 0 23 Southern Zone Early Bowhunting Muzzleloader Regular Youth State Total Early Bowhunting Muzzleloader Regular Youth NZ Female Male E M R Y T 117 25 22 142 30 26 58 71 0 0 222 269 R Y T 4 7 325 479 E B B M 73 119 7 122 106 175 11 180 *Sex was not reported for all bears. 804 179 294 18 302 11 1,295 438 349 66 431 11 * Only Wildlife Management Units (WMUs) with reported bear harvests are included here. Page 4 Black Bear Harvest by Town 2018 5A 6A 5C 6F 6C 5F 6H Northern Zone 6G 6J 5G 6N 5H 7A 8A 9A 8C 9A 8F 8G 9F 8H 5J 6P 7F 9C 5T 6K 6S 7J 8J 5S 6R 5R 4C 4A 9H 8N 8M 9G 8R 9N 9M 9K 9J 9W 9R 9S 8P 9Y 9X 8X 4F 4K 7P 8W 4B 4H 4G 7R 4L 4J 7M 8S 9P 8T 9T 7H 4O 4P 4Y 8Y 4U 4T 4S 4R Southern Zone 7S 3A 4Z 4W Allegany State Park prohibits bear hunting 3C 3H Bears Taken per 10 Square Miles 3F 3J 3G 3K 3M 0.03 - 0.5 3N 3P 0.5 - 1.0 3R 1.0 - 2.0 No Bear Hunting 2.0 - 3.5 WMUs 3.5 - 7.0 3S 1C Towns 2A 1A NYSDEC Bureau of Wildlife, February 2018 Page 5 2018 NEW YORK STATE BEAR TAKE BY TOWN AND COUNTY Key: E = Early, B = Bowhunting, M = Muzzleloader, R = Regular, Y = Youth, T = Total TOTAL Zone Northern Clinton E B M R Y T Altona 1 0 2 0 0 3 Ausable 6 1 0 0 0 7 Beekmantown 1 0 0 1 0 Black Brook 6 0 2 5 Clinton 1 0 0 Ellenburg 3 0 Mooers 0 Peru Saranac Schuyler Falls 10 6 2 10 0 28 Oswego E B M R Y T Redfield 0 0 0 1 0 1 0 E B M R Y T Arietta 1 0 0 0 0 1 TOTAL 0 0 1 0 1 Benson 1 0 1 3 0 5 Saratoga E B M R Y T 2 Hope 3 0 1 0 0 4 Hadley 6 1 0 2 0 9 0 13 Indian Lake 1 0 0 0 0 1 Moreau 0 0 0 1 0 1 0 0 1 Inlet 0 0 0 1 0 1 Providence 0 0 1 0 0 1 0 2 0 5 Lake Pleasant 0 0 0 1 0 1 Wilton 0 0 2 0 0 2 0 0 2 0 2 Long Lake 3 0 3 0 0 6 TOTAL 6 1 3 3 0 13 1 1 1 0 0 3 Wells 6 1 0 5 0 12 Y T 0 2 0 9 15 1 5 10 0 31 St Lawrence B M R 0 TOTAL E 7 1 0 0 0 0 1 Canton 0 2 1 0 0 3 Herkimer E B M R Y T TOTAL 27 2 5 12 0 46 Clare 2 0 0 4 0 6 Fairfield 9 0 0 0 0 9 Colton 2 0 3 3 0 8 Essex E B M R Y T Norway 1 1 0 0 0 2 Edwards 1 0 0 4 0 5 Chesterfield 8 0 1 0 0 9 Ohio 10 4 1 1 0 16 Fine 5 1 0 1 0 7 Crown Point 0 2 0 1 0 3 Russia 6 2 1 0 0 9 Fowler 3 0 0 0 0 3 Elizabethtown 3 0 0 0 0 3 Salisbury 4 0 0 1 0 5 Gouverneur 0 0 0 1 0 1 Essex 1 0 0 1 0 2 Webb 1 2 0 1 0 4 Hopkinton 11 0 0 3 0 14 Jay 1 0 1 0 0 2 TOTAL 31 9 2 3 0 45 Louisville 0 0 0 1 0 1 Keene 1 0 0 0 0 1 Jefferson E B M R Y T Macomb 0 0 0 1 0 1 Lewis 0 0 1 0 0 1 9 0 0 1 0 10 Moriah 0 0 3 0 0 3 Newcomb 2 0 0 0 0 2 North Elba 0 0 1 2 0 3 North Hudson 1 0 0 0 0 1 Schroon 2 0 1 0 0 3 Ticonderoga 1 1 0 0 0 2 Westport 1 0 0 0 0 1 Wilmington 2 5 0 2 0 9 TOTAL 23 8 6 0 45 Franklin E B M R Y T Bellmont 2 1 0 2 0 5 Brandon 1 0 0 0 0 1 Dickinson 6 0 1 2 0 9 Duane 1 0 0 0 0 1 Franklin 2 2 0 1 0 5 Harrietstown 1 2 0 0 0 3 Malone 1 0 0 1 0 2 Santa Clara 1 0 1 0 0 2 Tupper Lake 3 1 0 1 0 5 Waverly 2 0 2 1 0 5 TOTAL 20 6 4 8 0 38 Fulton E B M R Y T Bleecker 0 0 0 2 0 2 Caroga 0 0 0 2 0 2 Johnstown 2 0 0 1 0 3 Mayfield 4 0 0 0 0 4 Northampton Oppenheim Stratford 0 1 3 2 1 3 8 0 2 0 0 4 1 0 0 0 2 8 Hamilton Antwerp 2 0 0 4 0 6 Parishville Champion 0 2 0 0 0 2 Piercefield 0 0 0 2 0 2 Le Ray 5 0 0 0 0 5 Pierrepont 0 1 0 2 0 3 Philadelphia 0 0 0 1 0 1 Pitcairn 4 1 2 2 0 9 2 Russell 5 0 1 2 0 8 42 5 7 27 0 81 Watertown 0 0 2 0 0 Wilna 10 2 2 4 0 18 TOTAL TOTAL 17 4 4 9 0 34 Warren E B M R Y T E B M R Y T Bolton 3 1 0 1 0 5 13 3 0 20 Chester 1 0 0 0 0 1 6 Hague 1 0 0 0 0 1 0 0 2 0 0 2 Lewis Croghan Diana 2 0 0 0 4 4 0 Greig 9 1 0 1 0 11 Horicon Harrisburg 0 1 0 2 0 3 Johnsburg 8 0 0 5 0 13 Lowville 0 0 0 1 0 1 Lake George 2 2 0 3 0 7 4 Lake Luzerne 2 0 3 0 0 5 0 1 0 0 0 1 Lyonsdale 4 0 0 0 0 Martinsburg 0 0 0 5 0 5 Queensbury Montague 0 0 0 1 0 1 Stony Creek 0 0 0 1 0 1 New Bremen 2 0 1 0 0 3 Thurman 1 2 0 1 0 4 1 Warrensburg 3 2 0 0 0 5 21 8 5 11 0 45 E B M R Y T Pinckney 0 0 0 1 0 Turin 0 0 0 1 0 1 TOTAL Watson 4 0 0 2 0 6 Washington West Turin 0 0 1 0 0 1 Dresden 0 0 0 1 0 1 34 5 2 22 0 63 Whitehall 0 0 1 0 0 1 0 0 1 1 0 2 TOTAL E B M R Y T Ava 0 0 0 1 0 1 Boonville 2 0 0 1 0 3 Forestport 11 0 0 1 0 12 Steuben 0 0 0 1 0 1 Western 0 0 0 2 0 2 13 0 0 6 0 19 Oneida TOTAL 7 TOTAL Zone Southern Albany E B M R Y T Berne 0 1 0 2 0 3 Bethlehem 0 0 0 1 0 1 Coeymans 0 0 0 1 0 1 Guilderland 0 0 0 2 0 2 * Only towns and counties with bear harvests are reported here. Page 6 New Scotland 0 1 0 0 0 1 Harmony 0 1 0 1 0 2 Northeast 0 0 0 4 0 4 Rensselaerville 0 5 0 1 0 6 Mina 0 0 0 2 0 2 Pawling 0 1 0 1 0 2 Westerlo 0 0 0 3 0 3 Poland 0 1 0 2 0 3 Stanford 0 0 0 2 0 2 0 7 0 10 0 17 Ripley 0 0 0 1 0 1 Union Vale 0 1 0 0 0 1 T Sherman 0 0 0 1 0 1 Washington 0 1 0 0 0 1 Stockton 0 1 0 1 0 2 TOTAL 0 8 1 7 0 16 Westfield 0 2 0 0 0 2 Erie E B M R Y T TOTAL 0 11 1 15 1 28 0 0 1 0 0 1 Chemung E B M R Y T TOTAL 0 0 1 0 0 1 Fulton E B M R Y T 0 0 1 0 0 1 TOTAL 0 0 1 0 0 1 Genesee E B M R Y T Pembroke 0 0 0 1 0 1 TOTAL 0 0 0 1 0 1 Greene E B M R Y T Ashland 3 1 0 0 2 6 Athens 0 1 0 0 0 1 Cairo 3 3 0 2 0 8 Catskill 5 0 0 1 0 6 Coxsackie 0 1 0 0 1 2 Durham 3 1 0 0 0 4 Greenville 0 2 0 0 0 2 Hunter 3 0 0 0 0 3 Jewett 1 0 0 0 0 1 Lexington 0 1 0 1 0 2 Prattsville 1 0 0 0 0 1 Windham 2 0 0 0 0 2 TOTAL 21 10 0 4 3 38 Herkimer TOTAL Allegany E B M R Y Alfred 0 0 0 1 0 1 Allen 0 0 1 0 0 1 Alma 0 0 1 0 0 1 Amity 0 1 0 0 0 1 Andover 0 1 0 0 0 1 Ashland 0 3 0 2 0 5 Burns 0 0 0 1 0 1 Big Flats 0 1 0 3 0 4 Clarksville 0 2 0 0 0 2 Chemung 0 0 0 1 0 1 Friendship 0 1 0 0 0 1 Erin 0 0 0 1 0 1 Hume 0 1 0 0 0 1 Southport 0 3 0 1 0 4 Independence 0 0 1 1 0 2 New Hudson 0 0 0 1 0 1 Rushford 0 1 0 0 0 1 Scio 0 2 0 3 0 5 Ward 0 2 0 1 0 3 Wellsville 0 2 0 0 0 2 West Almond 0 0 0 1 0 1 Willing 0 1 0 1 0 2 Wirt 0 1 0 0 0 1 0 15 3 10 0 28 TOTAL Broome Colesville Fenton Kirkwood E 0 0 0 B M R 1 0 0 0 0 0 1 1 1 Y 0 0 0 T 2 1 1 Sanford 0 1 0 1 0 2 Windsor 0 2 0 11 0 13 0 4 0 15 0 19 TOTAL Cattaraugus E B M R Y T Allegany 0 1 1 0 0 2 Ashford 0 0 0 2 0 2 Carrollton 0 1 0 0 0 1 Conewango 0 0 0 1 0 1 East Otto 0 0 0 1 0 1 Ellicottville 0 0 0 3 0 3 Franklinville 0 1 0 1 0 2 Humphrey 0 0 0 1 0 1 Lyndon 0 0 0 0 1 1 New Albion 0 0 0 1 0 1 Olean 0 1 0 3 0 4 Portville 0 2 2 1 0 5 Randolph 0 1 0 0 0 1 TOTAL 0 7 0 8 0 15 E B M R Y T Greene 0 1 0 1 0 2 Guilford 0 0 0 1 0 1 Chenango Smithville 0 0 0 1 0 1 TOTAL 0 1 3 0 4 Columbia E B M R Y T Ancram 0 5 0 0 0 5 Austerlitz 0 0 0 1 1 2 Canaan 0 1 0 0 0 1 Chatham 0 2 0 3 0 5 Claverack 0 2 0 0 0 2 Copake 0 0 0 1 0 1 Germantown 0 1 0 0 0 1 Hillsdale 0 4 0 1 1 6 New Lebanon 0 0 0 1 0 1 Taghkanic 0 0 0 1 0 1 TOTAL 0 15 0 0 8 2 25 E B M R Y T Andes 7 1 0 1 0 9 Bovina 0 0 0 1 0 1 Colchester 0 1 0 5 0 6 Delhi 1 1 0 0 0 2 Deposit 0 2 0 1 0 3 Delaware Franklin 0 2 0 0 0 2 0 2 Herkimer 0 0 0 2 0 2 Little Falls 0 1 0 1 0 2 Schuyler Falls 0 0 0 1 0 1 TOTAL 0 1 0 6 0 7 Livingston E B M R Y T Mount Morris 0 1 0 0 0 1 Springwater 0 0 0 1 0 1 TOTAL 0 1 0 1 0 2 Madison E B M R Y T Hamilton 4 Hancock 0 8 0 11 0 19 Kortright 1 0 0 0 0 1 0 1 0 0 0 1 Masonville 0 0 1 0 0 1 TOTAL 0 1 0 0 0 1 Middletown 4 4 0 1 0 9 Montgomery Roxbury 7 2 0 1 0 10 Sidney 0 1 0 0 0 1 Chautauqua E B M R Y T Stamford 2 0 0 1 0 3 Arkwright 0 1 1 0 0 2 Tompkins 0 3 0 4 0 7 Carroll 0 2 0 2 0 4 Walton 1 1 0 1 0 3 Chautauqua 0 1 0 0 0 1 TOTAL 24 29 Cherry Creek 0 1 0 0 1 2 Dutchess Clymer 0 0 0 2 0 2 Ellington 0 1 0 0 0 1 0 2 0 25 3 T 0 0 1 0 Y 0 0 14 0 B M R 0 3 7 0 E Fairfield 1 0 French Creek Oppenheim Hamden TOTAL 3 Concord Amenia Dover 3 27 0 81 E B M R Y T 0 3 0 3 0 2 1 0 1 0 0 0 3 E B M R Y T Mohawk 0 1 0 0 0 1 Palatine 0 0 0 1 0 1 TOTAL 0 1 0 1 0 2 Niagara E B M R Y T 0 2 0 0 0 2 TOTAL 0 2 0 0 0 2 Oneida E B M R Y T Trenton 0 0 0 1 0 1 0 0 0 1 0 1 Somerset TOTAL * Only towns and counties with bear harvests are reported here. Page 7 Ontario Canandaigua E 0 B M R 1 0 0 Y 0 T Catharine 0 0 0 2 0 2 0 0 0 1 0 1 1 Cayuta 0 0 0 1 0 1 TOTAL Newfield 0 0 0 1 0 1 0 1 0 0 0 1 Ulster E B M R Y T Denning 5 1 1 1 0 8 Gardiner 2 2 0 1 0 5 Naples 0 0 0 1 0 1 Reading South Bristol 0 2 0 0 0 2 Tyrone 0 0 0 1 0 1 TOTAL 0 3 0 1 0 4 TOTAL 0 1 0 4 0 5 Orange E B M R Y T Steuben E B M R Y T Hardenburgh 3 0 0 0 0 3 4 Addison 0 1 0 2 0 3 Hurley 4 3 0 1 0 8 Blooming Grove 0 4 0 0 0 Crawford 0 1 0 0 0 1 Avoca 0 1 0 0 0 1 Kingston 2 3 0 0 0 5 Deerpark 7 3 0 3 0 13 Bath 0 3 0 1 0 4 Marbletown 3 7 0 2 0 12 Goshen 0 0 0 2 0 2 Cameron 0 1 0 2 0 3 New Paltz 0 4 0 4 0 8 0 1 0 0 0 1 Olive 7 5 0 4 1 17 Greenville 0 1 0 1 0 2 Campbell Highlands 0 2 0 0 0 2 Canisteo 0 1 0 2 0 3 Plattekill 0 2 0 0 0 2 Minisink 0 1 0 3 0 4 Caton 0 0 0 3 0 3 Rochester 12 8 0 4 1 25 Monroe 0 0 0 1 0 1 Cohocton 0 3 0 1 0 4 Rosendale 0 1 0 0 0 1 0 4 0 0 0 4 Saugerties 3 1 0 3 0 7 Montgomery 0 2 0 0 0 2 Corning Newburgh 0 1 0 0 0 1 Dansville 0 0 0 3 0 3 Shandaken 7 2 0 5 0 14 Tuxedo 0 2 1 3 0 6 Erwin 0 3 0 2 0 5 Shawangunk 5 8 0 2 0 15 2 Greenwood 0 2 0 1 0 3 Ulster 3 0 0 2 0 5 0 1 0 0 0 1 Wawarsing 16 4 0 5 2 27 5 Wallkill 0 2 0 0 0 Warwick 2 2 2 4 0 10 Hartsville Wawayanda 1 2 0 0 0 3 Hornby 0 0 0 1 0 1 4 0 2 0 11 Woodbury 0 0 0 1 0 1 Hornellsville 0 0 0 1 0 1 TOTAL 77 55 1 36 4 173 10 23 3 18 0 54 Howard 0 0 0 4 0 4 Washington Lindley 0 2 0 2 0 4 Rathbone 0 2 0 2 0 4 Thurston 0 0 0 2 0 2 Troupsburg 0 3 0 5 0 8 Urbana 0 2 0 1 0 3 TOTAL Otsego Maryland TOTAL Rensselaer E B M R Y T 0 1 0 0 0 1 0 1 0 0 0 1 E B M R Y T Berlin 0 3 0 0 0 3 Wayland 0 1 0 0 0 1 East Greenbush 0 1 0 0 0 1 West Union 0 1 0 2 0 3 Grafton 0 0 0 1 0 1 Wheeler 0 0 2 1 0 3 Nassau 0 2 0 1 0 3 Woodhull 0 3 0 4 0 7 Petersburgh 0 0 0 3 0 3 Pittstown 0 2 0 0 0 2 Sand Lake 0 1 0 0 0 1 Schodack 0 0 0 1 0 1 Stephentown 0 0 0 1 0 1 TOTAL 0 9 0 7 0 16 Saratoga E B M R Y Charlton 0 1 0 0 0 TOTAL 0 35 2 42 0 79 E B M R Y T Bethel 2 1 0 1 0 4 Callicoon 1 1 0 1 0 3 Sullivan Cochecton 1 0 0 4 0 5 Delaware 2 1 0 1 0 4 T Fallsburgh 2 2 0 0 0 4 1 Forestburg 2 3 0 1 0 6 Woodstock E B M R Y T Cambridge 0 1 0 3 0 4 Hebron 0 1 0 0 0 1 Jackson 0 1 0 0 0 1 Salem 0 0 0 3 0 3 White Creek 0 0 0 1 0 1 TOTAL 0 3 0 7 0 10 Wyoming E B M R Y T Gainesville 0 1 0 0 0 1 Middlebury 0 0 0 1 0 1 Orangeville 0 0 0 1 0 1 TOTAL 0 1 0 2 0 3 Yates E B M R Y T 0 0 0 1 0 1 0 0 0 1 0 1 Jerusalem TOTAL NYS Total Early Bowhunting Milton 0 1 0 0 0 1 Fremont 0 1 0 4 0 5 TOTAL 0 2 0 0 0 2 Highland 3 4 0 4 0 11 Schenectady E B M R Y T Liberty 6 3 0 1 0 10 Muzzleloader 0 2 0 0 0 2 Lumberland 5 0 0 3 0 8 TOTAL 0 2 0 0 0 2 Mamakating 12 7 0 7 0 26 Schoharie E B M R Y T Neversink 3 3 0 1 0 7 Regular Youth Rockland 1 2 0 0 0 3 Thompson 3 5 0 1 0 9 Tusten 3 0 0 5 0 8 TOTAL 46 33 0 34 0 113 Tioga E B M R Y T Rotterdam Blenheim Broome Conesville 0 0 1 1 0 0 0 0 0 3 2 3 0 0 0 4 2 4 Fulton 0 1 0 2 0 3 Gilboa 0 2 0 2 0 4 Middleburg 0 1 0 3 0 4 Barton 0 0 0 1 0 1 1 Nichols 0 1 1 1 0 3 0 1 1 2 0 4 E B M R Y T Schoharie 0 0 0 1 0 TOTAL 1 5 16 0 22 TOTAL Schuyler E B M R Y T Tompkins 0 1,295 438 349 66 431 11 * Only towns and counties with bear harvests are reported here. Page 8 NEW YORK STATE  DEPARTMENT OF ENVIRONMENTAL CONSERVATION  Black Bear Harvest by Population Management Objective Bears Taken per 100 Square Miles Northern 8 4 0 Central‐Western 8 4 0 Southeastern 20 16 12 8 4 0 2005 Goal Area: 2006 2007 2008 2009 Maintain Low Density 2010 2011 2012 2013 2014 Maintain Moderate Density 2015 2016 2017 2018 Reduce High Density Management Goals were established in 2014, and an early bear season was initiated in portions  of southeastern New York that same year to reduce the high density bear popoulation. Page 9 NEW YORK STATE DEPARTMENT OF ENVIRONMENTAL CONSERVATION Heaviest Reported Bears ‐ 2018 Dressed  Weight  (pounds) 585 550 485 459 454 440 425 400 390 385 Rank 1 2 3 4 5 6 7 8 9 10 Sex Season County Town WMU Male Bowhunting Ulster Shandaken 3A Male Bowhunting Ulster Marbletown 3C Male Muzzleloading St Lawrence Pitcairn 6C Male Regular Chemung Chemung 8Y Male Regular Ulster New Paltz 3J Male Regular Dutchess Stanford 3G Male Bowhunting Orange Highlands 3P Male Early St Lawrence Pitcairn 6C Male Early Sullivan Liberty 3H Male Early Greene Catskill 3A Scaled weights of dressed bears were submitted for 28% of the bears reported in 2018. Distribution of Harvested Black Bears by Weight (2018) Northern Zone 60% 50% 40% 30% 20% 10% 0% Southern Zone 40% Female Male Female Male 30% 20% 10% 0% Dressed Weight (pounds) Dressed Weight (pounds) n = 96 n = 239 Average Weight by Age and Sex of Harvested Black Bears (2015‐2017) Dressed Weight (pounds) Dressed Weight (pounds) Northern Zone 400 Female Male 300 200 100 0 ≤1 2 3 4 Bear Age (years) 5 6+ n = 339 Southern Zone 400 300 Female Male 200 100 0 ≤1 2 3 4 Bear Age (years) 5 6+ n = 766 Note: Bear ages are determined by examining cross‐sections of a premolar tooth (see  www.dec.ny.gov/outdoor/45598.html).  Bear teeth from the 2018 seasons have not  yet been analyzed.  Page 10 NEW YORK STATE  DEPARTMENT OF ENVIRONMENTAL CONSERVATION  2018 Reported Bear Take by Day Northern Zone # Bears 35 30 Female 25 Male 20 15 10 5 0 9/15 9/22 9/29 10/6 10/13 10/20 10/27 11/3 11/10 11/17 11/24 12/1 # Bears Southern Zone 50 45 40 35 30 25 20 15 10 5 0 Female Male 9/8 9/15 9/22 9/29 10/6 10/13 10/20 10/27 11/3 11/10 11/17 11/24 12/1 12/8 12/15  2018 Distribution of Black Bear Harvest by Sex  35% 30% 25% 20% 15% 10% 5% 0% Female Early Bow Muzzle Regular Male Early Northern Zone Bow Muzzle Regular Southern Zone Notes:    Sum of male and female proportions across seasons within each zone equals 100%. Male and female bear take during the Youth Seasons were <1% of the total harvest.  Page 11 NEW YORK STATE DEPARTMENT OF ENVIRONMENTAL CONSERVATION Age Distribution of Bear Harvest: 2017 Northern Zone  50% Southern Zone 50% Female Male 40% Female Male 40% 30% 30% 20% 20% 10% 10% 0% 0% <1 1 2 3 4 5 6 7 Bear Age (years) 8 <1 9 ≥10 1 2 3 4 5 6 Bear Age (years) n = 184 7 8 9 ≥10 n = 674 Average Age of Harvested Bears years years Northern Zone  7 6 5 4 3 2 1 0 Female Male 7 6 5 4 3 2 1 0 Southern Zone  Female Male Note: Bear ages are determined by examining cross‐sections of a  premolar tooth (see www.dec.ny.gov/outdoor/45598.html).  Bear  ages from the 2018 seasons have not yet been determined and will  be included in the 2019 report.  Bear cubs (<1 year) may be legally  taken in the Northern Zone, but bears known to be <1 year old are  not legal for harvest in the Southern Zone.  However, in the  Southern Zone, some cubs achieve a similar size to some small  yearling or adult bears and can only be verified as cubs by  examination of their teeth after harvest. Page 12 NEW YORK STATE DEPARTMENT OF ENVIRONMENTAL CONSERVATION Black Bear Harvest History Northern Zone Year E B M R Y Southern Zone Total E B M R Y State Totals Total E B M R Y Total 2018 259 55 48 129 0 491 179 294 18 302 11 804 438 349 66 431 11 1,295 2017 82 25 33 242 1 383 150 330 12 537 8 1,037 232 355 45 779 9 1,420 2016 238 48 61 167 514 228 379 10 398 10 1,025 466 427 71 565 10 1,539 2015 183 53 94 253 583 192 327 17 596 1,132 375 380 111 849 1,715 2014 291 26 42 159 518 337 305 16 452 1,110 628 331 58 611 1,628 2013 84 15 35 246 380 317 6 655 978 84 332 41 901 1,358 2012 386 39 49 132 606 332 6 393 731 386 371 55 525 1,337 2011 70 9 193 275 290 21 672 983 70 293 30 865 1,258 2010 255 35 71 160 521 280 10 253 543 255 315 81 413 1,064 2009 426 44 128 216 814 266 10 397 673 426 310 138 613 1,487 2008 85 13 99 385 582 219 18 476 713 85 232 117 861 1,295 2007 306 28 61 149 544 219 9 345 573 306 247 70 494 1,117 2006 74 16 219 318 228 9 241 478 74 237 25 460 796 2005 184 19 45 205 453 208 11 394 613 184 227 56 599 1,066 2004 425 49 54 146 674 178 4 158 340 425 227 58 304 1,014 2003 730 35 112 493 1,370 221 10 262 493 730 256 122 755 1,863 2002 182 16 30 322 550 111 4 247 362 182 127 34 569 912 2001 240 18 52 213 523 127 2 148 277 240 145 54 361 800 2000 180 12 37 499 728 95 2 245 342 180 107 39 744 1,070 1999 270 37 34 182 523 89 1 162 270 126 35 254 685 3 9 2000 1750 1500 1250 1000 750 500 250 0 B=Bowhunting M=Muzzleloading R=Regular Y = Youth Northern Southern NYS 19 9 19 0 9 19 1 9 19 2 9 19 3 9 19 4 9 19 5 9 19 6 9 19 7 9 19 8 9 20 9 0 20 0 0 20 1 0 20 2 0 20 3 0 20 4 0 20 5 0 20 6 0 20 7 0 20 8 0 20 9 1 20 0 1 20 1 1 20 2 1 20 3 1 20 4 1 20 5 1 20 6 1 20 7 18 # Bears Season Key: E=Early 72 Page 13 NEW YORK STATE DEPARTMENT OF ENVIRONMENTAL CONSERVATION BLACK BEAR SEASONS Hunting Hm: 5min to Sunset 201s mu". Fireanns 39380" Season Dim Get 6 - a. 2018 mom Nerhunand mm. uncut howl-mm: Eligible Hunter: Youth 14-15 year: at If! Northern Zone [3 amour Supt. 15?0112 Mum Scotti-0119 E- eronbow Dot 10-00119 Hunt-Man 0113.01 19 haul-r Oot.20-Doo2 South"! Zone I Ma'a?n Mun?ngOntym Early Swimming 0d. 1 -Nou. 16 El mm?Munas.u.uac m?i?o'glg Mai-r - - msbows ?19'9? ?3 mammal-immune Den-Dona! ammonium-mums: This map shows where various hunting implements may be used in the state. Boundary descriptions and closed areas are found below. [Some closed areas are too small to show on the map.) Northern - Southern Zone Line Bow Crossbow* Crossbow* Muzzleloader Muzzleloader Handgun Handgun Shotgun Shotgun Ri?e a Bow Only - Closed No Big Game Hunting Page 14 NEW YORK STATE  DEPARTMENT OF ENVIRONMENTAL CONSERVATION  Black Bear Management Cooperator Program DEC relies upon hunter participation to collect critical data for black bear  management.  Successful hunters are required by law to report their  harvest, but many hunters also voluntarily submit premolar teeth from  the bears (Figure 1), which are then used to determine the bear’s age.   DEC uses this information to assess the impact of harvest on the bear  population by determination of the average age of harvested male and  female bears in the various bear hunting areas. Additionally, by recording  age and sex of harvested bears over a period of years, biologists can  more accurately model bear populations.  Hunters who Report their Bear and Submit a Tooth become NYS Black  Bear Management Cooperators and receive a commemorative patch.  Figure 1.  Portion of bear skull showing  upper and lower premolar teeth,  immediately behind the large canines.  Black Bear Cooperator Patches 2006‐2018  Page 15 NEW YORK STATE  DEPARTMENT OF ENVIRONMENTAL CONSERVATION      Learn More about Black Bears    DEC has several great resources available for those interested in learning more about black bears, bear  management, and bear hunting.                         DEC has partnered with Untamed Science to provide    free curriculum and multimedia resources available to  all New York Educators; loads of interactive learning  appropriate for students in kindergarten to 8th grade. http://blackbearinfo.com      See www.dec.ny.gov/animals/7215.html  for New York’s Black Bear program.  Living with New York Black Bears is  available at school and public  libraries throughout New York.    This short booklet is full of tips for  bear hunters, before and after the  harvest.  www.dec.ny.gov/docs/wildlife_pdf/bb hunting10.pdf    This booklet, from the Northeast Black  This booklet, from the Northeast Black  Bear Technical Committee, describes  Bear Technical Committee, describes  various options for bear management.  various options for bear management.  www.dec.ny.gov/docs/wildlife_pdf/bear mgmtopt.pdf  www.dec.ny.gov/docs/wildlife_pdf/bear Page 16