20210424 22585600 1.0 TRUE Ronan This map includes: Global cattle distribution from The Gridded Livestock of The World 2.0 GeoWiki Citation: Robinson TP, Wint GRW, Conchedda G, Van Boeckel TP, Ercoli V, Palamara E, et al. (2014) Mapping the Global Distribution of Livestock. PLoS ONE 9(5): e96084. doi:10.1371/journal.pone.0096084 AND IUNC Red List Range Maps for: Gray Wolf Puma Coyote Black Bear Brown Bear Obtained by Kevin Lester 4/25/21 for the purpose of education. Donate to IUCN here: https://www.iucnredlist.org/support/donate /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooqA3VurFWnjBHBBYUAT0VB9rt/wDn4i/77FH2u3/5+Iv++xQBPRUH 2u3/AOfiL/vsUfa7f/n4i/77FAE9FQfa7f8A5+Iv++xR9rt/+fiL/vsUAT0VB9rt/wDn4i/77FH2 u3/5+Iv++xQBPRUH2y2/5+Iv++xR9rt/+fiL/vsUAT0VAby2HW4i/wC+xTG1CzT713APrIKALVFV kvrR/u3ULfSQGnfa7f8A5+Iv++xQBPRUH2u3/wCfiL/vsUfa7f8A5+Iv++xQBPRUH2u3/wCfiL/v sUfa7f8A5+Iv++xQBPRUH2u3/wCfiL/vsUfa7f8A5+Iv++xQBPRUH2u3/wCfiL/vsUfa7f8A5+Iv ++xQBPRUH2u3/wCfiL/vsUfa7f8A5+Iv++xQBPRUH2u3/wCfiL/vsUfa7f8A5+Iv++xQBPRUH2u3 /wCfiL/vsUfa7f8A5+Iv++xQBPRUH2u3/wCfiL/vsUfa7f8A5+Iv++xQBPRTEZXUMjBlPQg5p9AB RRRQAUUUUAFcref8fk3++f511VefXkeuQ6lOUmtpommc4dTlVzwBjFJuw0aNFec+ONTv4NQ8hbox R7AwhRzyD3OAPT1NccmrXkB/d3kkRJ/hcjNZSrKLtYpQ0ue71BeXkFhavc3D7Yk6nGa8Yi8SazE2 Y9UufxkLD9ail1e/uRie/unGc4eZiP51DxCS2GoHqL+MtOKg26TzEnkBMY/OrWn6/BqE/kqrRP1A kx8w9uevtXkNvq10qqys+zrjg/zqzHrUplZvOZSMYBTGPes1XnexfJGx7TKF8uVZcYC5IZimPxHI +tcW9m15cPjUrYIWO1DO52j6sOeK5u0vNZ1i7VbKae4nAPzKw+Uf7R9PrXYaZ4YltZDfancJMfJ+ a3RMIpA65HBPHYdSa3hPm1M5RsLJ4a3QI1nPDPx8xYkc+oxVvTvDdwxEd1qDwrnhYiTn8eMflWIU cXXnaYjLjB2xOWb8RwT+WK7HTzcvZo120ZkYZ+QYwPf3rV7EKxKfB1jIpEt3eyBuoaQYP6Uf8IVp GMbZv++//rVsWUkYtwobBHUE1FJqBORGuPc1y3qN2TNLRscVr3h19IuYZdPE7xvx8v3lP1ArdtLN bdQxeZ5COTJKzf8A1v0q88rSsPMbjuQKYwUH5SSPUjFdEb2tIhpboSkOSODilrj/ABD47tNNSW30 /FzeqxjJPCRsOuT3/CqbSWoI61A4zvYNzxxjin14pd6lr89pHqWpajdiG4JMMcDYWQA4JwpG0D36 0/Std1WCMvFfXSLuJCsxbPpwxxiodRRKUWz2igodoY5A7c9a82XxxqwRAwhYgEElcbueD7GopPGW sSKV85QD6AcfTipdam+oezl2PSpJooQDLIqAnALsBmopdQs4F3SXMQGcfezXk13q2o3rxNPc7jGc jg9PTrVZpZXmaUyvub0OMfSpeIghqlJnpV34y0q1mETGZ2I/hQ4x9e1V38a2YIESIV9WmAOP1rzx mZzl2Zj6sc0lZvFK+iKVF23PT7Hxdpd2H824itypwN7j5vpWhHrGmyzrDHf27yMcBVkBya8go7g9 xyKFiu6H7HzPanmijXc8qIvqzYFNjuIZjiOWNz/ssDXi2KeskkZyksiH/Zcj+VV9aXYXsX3Pa6K8 eTUNUsYw6Xd7EknIO9sN7jNSx6lrl4wW3ur6eRRgLE7E/jj+tX9YXZk+zfc+gNN/48Ifof51crn/ AAeLweFbIX7O1yVYtvB3D5jgHPcDFdBWyZmFFFFMAooooAK5W8/4/Zv98/zrqq5W8/4/Jv8AfP8A OgDI1DTTqaBJlt1UZ5MYkbHsTwPyNQad4X0jTH3wWitJx88g3HI7jPQ/StiilZXuO5RvtG03Uomj u7KGUMD8xQbhn0PUV5Z4q8K3Hh5jdQ75tPdyq4G5o+43H07Z9a9hqtqCNJpt0iqHZoXAUjOTg8VM 4KS1BOx89G4CZmSVSCeU7/ge9XkMo+ddoJAzz/OtBfD/ANvie6guIFMe5Z1l42nnkHsT/Osq6t5b S0Vi+9s5JPGPwrgVRcytubKKkmma2ma7cafM01rI9vL918AEH/GuotviDLJa3Ed4ImYxHy2WNvmb 0bHqM9MV53ErzIieYFkOAD6j3rVniLli0nmSAKHmZ2Y8Lj17+nsK9aKi0jz3zQbsxsl5N56TQXMy ygbQQTn8OQa6/wAHa1q9kIrOezklsWkA818p5WfQnjHfFN8KeEDfQLfXIaOGSMlG/iJ9geg613Fh okFlapBJLLdBVCgzncFA/ujoKmcYJ3juXSVS3vM0gQwBBBB6GlpqIsUaxooVFGAB2FOqTYKiuHlj t5Hhi86VVyse4DcfTJ6VLUVy8kdrK8QDSKhKhuhOOM0PYa3Mi21S7ivXTUYhGvlKx2g4VsZIH976 ivNtf1vQ7vVbgppZEUpzvBCuzhuWBwcZHY/XFde+n694i08XMsdjYXSS7PPTcrlCPmx1xx6/pWdc /DaxVGkgna6mU7mR5fLBU+hGcEds8Vzrmd0nodk3SVm1aRymq+JRfaba6VZW32S2hUgoHyWPYk4H PHUdcmqVvcSiPbIVz/E+7JPua0L7wdqw1CG2htpLiB4vPjkYCPH+yx6bh+tXbTxP4dhtLaFdLvR5 aiOeVJEyXI5IVic889qTpyk/eZnzxS91GXG00riOMFieQQM0/wAq/jYhraU+h2Z/lTLHXRZ+JYVk hkutN89QQyCJ2U9jg4z+NdjrLLYa7NZB4Wf7yqRhWUjjGOnX9KI0KbdupMqklsjlntbyOLzHUqvr t6fXnNQ+ay/eww9V7Ve1bX30+aOKKBnkIJZGGMj2P4e9US2r62yuggiijOCrdB9e/wDKqlhoN2ix KrJK7RLGWkBKI7Addqk4/KmNPhtgRi+cBSNufz7e9SRSXFk0oiFsrkYzEpIPp+P1rU0q6a4R1uJI muAeVUYOPX3qY4em3a+onVklexjxy7o1Lldx64qWtLUrpURrVVAeTCKWxg5PoetVZvDeoyaxaW6f u4phsSZ2GGPfkf59M1FXD2fuu5pTnzL3tCfSZrSC8DXdkbsZG1PM2qPqMc16XBpWkXVrHKum2eyR Q2PJX/Cuabwumi6VMRcRz384EETunCbvlJC9ScE112nw3UNnGl5Oks4UBjGm1fwBJP61tRpuKtIy nJN6HNadoF7ea22oanITBBIwt4iOCOQML0VcY9665VVfuqB9BS0VqkkQ3c6TTf8Ajwh+h/nVyqem /wDHhD9D/OrlMQUUUUAFFFFABXK3n/H5N/vn+ddVXK3n/H5N/vn+dAENFFFABRRRQBzOr6FbWxu7 +1hYG5XbdRqeHz/FjsRz+ZNeaTQZuDY3cbuwcgnIw390j2zzXuJAIweRXL+IfCqXy281hFHHcW5J HqRnIA+nbNctahf347mkHrZvc4XRPCWpX6SXkEMflBiiF3A5B5x9K2IPB/2LX7O31EI0FyX2tCSc sBnBJHGf6Vq6ZqOo6FpgsryyYMrMRc4wi5OSOepHOMdeK6PTrpNTsI5kuN0uwFioHyt9MfhXRGt9 nqZOgr8zL8MMdvAkMShI0UKqjsBT6gQ3KlVZI3GOXDbTn6c/zqfNNMpqwUUUUxBUkVvJPkR4H+0e gqOrtre2kcflmZQ6/fHp/nis6s+WJcIuT0I7XQrWC2mgmMlyszFnE7bhz1A9BS2/h7S7P/j0s4oG IwWQckehPepRrGnFtovIS27bjeM5q0s8bZw68HHWuNSd73NnGS3RUGncHMnPbiuJ8YaPJbrEtrpt sLdnDzXKKodcHdjGM8kDnPrXoZkUHHft71R1O6sI7dobyeJPMU4Vz1H0rWNZp3exPs29IrU8Y1DR IdSKkMsUw4WUj7ufX2pbLQ1srJYbyyiSbncyrw3oQfpW1f2wtL0wK4dWUPGw/iU9DWvoumXhuI7i YvHCq4CseWHpj0ru934kc15fCzzLxFp6rAI0mmeVzlNz8cdcn6Gsm0uRp+IrlleM8hjyc8ce9e6a 34dsNbtlinj2sn3XQANjuM46GvFdO8L32r6m+nwQgyRMRIXP3MHBJz6VzVb306nfh1TlD3+ho2LH U3KWSeaRxgEZJ9AOpNLeWVzp93JHdxG1uguOVJ3dOMr+Fd9pngW08P6XM1gWbUWiYGb+83+yCcA9 K2Xhs5iLV7cm5kZd7nIJwBn6Z5rladKWxvGNKavFv+v0OM0HwnY6lNbT6jcTs8jH/R1OAuB/eIPN d7eaVazwRRxIqG2ybViOI2xgNjocUWWnQQRIQoYgkqQex6D34q4jBlyK6aUJK7m9zlxFSMmvZ7Iz 7fRbaKSOaYyXE6YIkmctg+oHQVpUUVucoUUUUAdJpv8Ax4Q/Q/zq5VPTf+PCH6H+dXKACiiigAoo ooAK5W8/4/Jv98/zrqq5W8/4/Jv98/zoAhooooAKKKKACiiigBGVXUqyhlPBBGQax00mTTbq4uNN lghhmAaSJ48hSM8rgjH0rZqjq0byWDKjbfnUsf8AZyM9Paom0ouXYqCu+W+5haX/AG9qerT7LnbE jnJK4QDP8I7/AI+ldUlpdQghpBcN3AAUj+lTaeiW5kRAkcQJJBPJJwcj25qe5uEWJ3SSMEdSea+a WOrwndSPQq8lV2jGyKQPJBBBBwQeoNLWA+r3Fzr0lvaRO7JjziDlTzjOD04FaFrqDSXJtpoysnO0 gEBh617eHx1OraL0kzmq4SpTV2tC/VaXT4Z5/NZ5InIwWQ4z9fWrNFdc4KaszGE5Qd4soPoGmoZH DTTSMTt3Ywn0yKtQ6FbfaWubY+WCuJIgMq/HoffNS1ZspdkpTH3+K55YeCjdG6xdVuzZTTTJdQgD 3PnRXQO+OTJHlkcY4P8A9asPVtDuptNuYVw+qBSEZiSHUjtzx/8AWrux71yXiDRvtd8ZmlkM+fMi McuxkAGAB7c8+ua5ZRR14es+fe39fkL4dtIbbSrZb5opL2GELjOWXk/LmtCqtjbrFCJMfvJAGYnr 9KtV30YOMFc4cRNTqNoKxrXw9bWXiG61iEfvbpQrjsPUj3JArZorRpMyUnG9uoh6ZxnFRmLewZkK 4YMrdD0qWkdysf3WfkY5+6O9TNXHB22HRQnyjsXCIKiRSsjf3TzTotUjlje1jYbk+9lSp/WkUgjO ArHnGc0k29waa3H0VPBHFMSrEo2ODnio5Y/LbAYMOxFUpq9ibDKKKKoR0mm/8eEP0P8AOrlU9N/4 8Ifof51coAKKKKACiiigArlbz/j8m/3z/Ouqrlbz/j8m/wB8/wA6AIaKKKACiiigAooooAKRgGUq RkEYIpaKAMbUrO4kjEYWOVDkLvXO0AEj261z89g1lZ/arm1ieEsdxdyBuHGQv/1+td1HEs0218GN ULMpHX0rgvFOq2rSw2DSYiiO5vL9ScnHpXz+MjCFX2dNHs5c51JeXUradrUw1C4aMrGJGAUoMAnk 8/jXX6Gxu4X1CUMZZWKqz9dgPAHoM5rD8MaLa3VoZZoS0IOUO4hXPPOPpXXxRRwRJFEgSNBhVUcA V14HCuL9rInM8TTk3Tgth9FFFeqeQFI3ngZttnnDlA/TNLSgkEEdRSkrpoadnc0Y55pLaNsKr9JA T92qsWoW93PIGUnyP4vc5HFSX5zpc0lsURiu7cw/zzWDo09zNBL5mBDvymB97ivPSbmoHbZezlMt 3U4hKhEP7xtqc8Cpx0qCW1Wa4imZ2Hl5wo6H61PXdFNN326HJJxaVt+oUUUVZAUUUUAFWYLAuhY/ u84xx2p1gUErBgNxHBNaJIAySAPeuerUadkaRj1KcliDImwAIMBhVOaJoZCpBxng+tbAIIyDkVna zci2giPlby7hF7YJ96iFVp6lcnNoipRRRXWYnSaZ/wAg+H6H+dXKp6b/AMeEP0P86uUAFFFFABRR RQAVyt5/x+Tf75/nXVVyt5/x+Tf75/nQBDRRRQAUUUUAFFFFABRRRQBHbRPcz3qMGVNiorZxnjJ/ nXK6d4UzetcXEyzWjElYnTlhj17V1ETOFu4SjHe4IcngIQM8/XPHvU3TivOo4fmrzqT76HXHFVKc OWDtcbHGkMSxRIqRoMKqjAA9KdRRXonIFFFFABRRRQAkiiWPy3G5P7p6UABQAAAB0ApaKLId3sFF FFAgooooAKKKKAFVmQ5ViD6g0Eljkkk+ppKKVgHxyvHIrBjhc/Lng1CUaQhpsFixbaGJXqcHBPBp 9FS4RbuUptKyCq15LKiKLcBp8ghCcbhnn+dWaasaq7OB8zYyaqV3sEWk7s6bTc/2dDnrjnH1q5VP Tf8Ajwh+h/nVymSFFFFABRRRQAVyt5/x+Tf75/nXVVyt5/x+Tf75/nQBDRRTvLfAOxsHp8poukA2 ip1s52x8mAe5NP8AsE3qn51HtI9x8rKtFW/7Pl/vJ+dNNhOOm0/jR7SHcOVlairo05u8o/75pklm Ihl5lA9xSVWL6j5WVaDkHBFWoooo8SGdCAQehJqK4aNpcxLtX0xQp3dkJqyIqKCCBkilALHABJ9q u4hKKsJZzOfu7R6mp004fxyfgBUOpFdSlFlCitP+z4c9W/OnfYYP7p/M1Pt4j5GZVFan2GD+6fzp 4tIAP9WPzo9vEORmRSlWABKkA9yK2UijQfKgH4U+p+seQchhUVsSwJMAGHAOeKVIIk5VFB9cUfWF bYOQx9pPY0uxsZ2tj6Vt0UvrD7D5DD2sBnacfSjaT2NblFH1h9g5DEKMOqkfUU2t2mNFG5yyKT6k U1iO6DkMWitK4gt44y5jP/ATWcxUtlAQvuc1rCopbENWOj03/jwh+h/nVyqem/8AHhD9D/OrlWIK KKKACiiigArFn0t5JpHEmNzE/draopNN7MDC/saT/np/47UsOmvDnnd+BH9a2KKhwbVmxp2KAgf0 pfIb3/Kr1FR7Bdyuco+Q3v8AlR5De/5Veoo9gu4c5R8hvf8AKka1LjDLkehFX6KPYLuHOZT6ZG/8 BX/dGKZ/ZKdi4rYoqvZeYubyMs6crLtbew9CxpRp0Y/5ZD8RmtOil7HzDmKP2dh2P5UeQ3v+VXqK XsF3HzlHyG9/yo8hvf8AKr1FHsF3DnKPkN7/AJUeQ3v+VXqKPYLuHOUfIb3/ACo8hvf8qvUUewXc Oco+Q3v+VHkN7/lV6ij2C7hzlHyG9/yo8hvf8qvUUewXcOco+Q3v+VHkN7/lV6ij2C7hzlHyG9/y o8hvf8qvUUewXcOczJrATgb93HQiq50j0dh9VrboqlTa2YnK/QgtIvItkjJztHXGKnoorREhRRRT AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKAP/2Q==