20210930 15084000 1.0 TRUE Commercial_Catch_Intensity DOC Commercial Catch Intensity New Zealand The distribution of total commercial catch is estimated for all fishing events reported in statutory catch and effort returns for the period 1 October 2007 to 30 September 2016.The location of fishing events is reported by either start (or start and end) coordinates (precise to 1 nautical mile) or by large statistical areas. The total catch of all species from each fishing event is spread uniformly over a polygon of space estimated to be occupied by that fishing. Trawl fishing polygons are derived from the length and width of the door-spread for the duration of the tow. The path of each tow is taken as a straight line between start and end coordinates where these are reported, or between start and estimated end coordinates. Where not required to report end coordinates, (as is the case for most inshore trawling) tow end points are derived using the direction of the next tow start position or the direction of the landing point for the last tow of the day. This has proven to be a reasonably good predictor of trawl direction.Line fishing is attributed to a circle with the centre at the reported start position and a radius of the reported length of line set. Set net fishing is attributed to a circle with the centre at the reported start position and radius of 2 nm in accordance with the definition of a single set netting event prescribed in reporting regulations. Jig fishing reports a single nightly position and is assumed to occur within 5 nm of that position. Hand and Pot fishing reports by statistical area, and where available, information on habitat and depth or information supplied by fishers is used to define the parts of each statistical area where each type of fishing is likely to have occurred. In the case of lobster potting and paua diving,an informal map of reef area supplied by the Department of Conservation is used to estimate where this fishing may have occurred.Catch intensity (kg/ha) is mapped to a square kilometre grid for all fishing events and summed over gear types. The data is aggregated into grid squares of between 1 and 2500 km2 as required to give 9-year annual averages of data from at least three permit holders. Catch per unit area values are classified into ten intensity classes and displayed using heatmap colours.MPI has high confidence in the data on catch quantities used to create this datasetbut the spatial distributions of those catches are only approximate and should be used with caution especially at large map scales (maps of small spatial extent). Nevertheless, the aggregation of a large number of fishing events tends to provide consistent patterns that have passed scrutiny when tested with groups of fishers. /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+gAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACg AoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAC gAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAEz+NACK 6uMqc0AOoAM84oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAjkZljLKpdgMhQcZoWr1ExsxcRny8BiOp7GmrX1GY8b3XnPIkb7lwHTJ610yU basyTd2aFvfxS5Dny5RwVbIrCUGtjRSTLSyxucK4J9jU2YySkAUAFABQAUAFABQAUAFABQAUAFAB QAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAhGRigCuQIJjJ/A+AfY1W6sIq6 rbwNbmZl/eIdykdSaujKV7LqTNK130ILa4EDhiC0XJDe1VKN/UaehqRzpLt2sDkZ4OaxcWiiakAU AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQB EYVMbpzh85yc0+Z3uKxXhAngktbjDMvysPUdjVN2alESV1ys5K3uTpF3LaXczN5e8ozqeE5PJ6dK 9WpTVeCqU1vb7zgpVPYycJv/AIY6XTLm2usvayI0ZUHCnP8AntXm1YThpNandCcZK8WagrEsWgAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgD Ce6WDxE1t5h3SIsmCP4enB+o/WuhU26PPbRaGSmlU5L67mpLZ28z7pI0Y4IIIyCD61jGco7M0cU9 0cjpN+ll421DSJXEKgBrZCoA2kDgV6uIpe0wkK8dX1POo1eTEypPRdDskbceOgznIryWrHpDg6kn DA4680rMBQQwyCCPUUAOoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAjklSIEyOqgd2OKaTewHH217aa54wu2ilJ+yWwiQjoSWJYg/gK9OpTnQwcU18 Tv8Ahp+pw06kKuJk0/hVv8zskzsG7rjmvLO4x9W8O6frBWWeLbcoMJOh2uo+orpw+Mq0NIvR9Ohz 1sNTrayWvcItJuISsa3LGLuSxzTlXjK7a1KjTcbJMsXcccPlCJQspPDe3vWUJN3uaNItQjIV1c7N uNoUAE+tZvsxosUhhQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAU AFABQAUANZgqlj0HNAHJ6sz3dvMJleVXOEhUdT2Ar0aCUZLl0t1OSvrB31v0GeFtEk0qRvN2tLJz JtX7ntnv2H4VWPxSr2Udl+JGDwzopuW7OxrzDuCgAoAyZZVubokxMyRZTA/iJrZRcV6kXTZpQp5c SrjGBWTd3cskpAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAU AFABQBFNH5sLJnGaadncGY15eWumzJcXblIoRlj2Xtn6V0U6c6vuQ3ZlVnGmuaWyNS1uoLuLzLd1 aM8hlOQQe9YThKDtJamkZKSui1UjCgDJZZridxK/3GwqjvW2kVoJeZatwqSNAqt8oDsxHUnt+lZy vbmBPWxcqRhQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAMkDlM IQG9SM01a+on5CrkKNxye5pDHUANZgoyxAHvQBUubraxhj5cjls8LWkYdWS30RjXumvqFpcW0dxD JJKCr+aDx9K6aNaNKcZtPTsYVaUpwcE9zM8J6feaB5tlcNEYi5MLB9ykH+RzXVmFenimqkN7anPg aNTDpwlt0O2TpjvjnnNeQeiNmlEUZbqew9TTSuBBYxYVpSQS56iqm+gkWVQKWIJO45OTmouMfQAU AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAHC6nrtzf8A iu20q1j/AHUI8+Ygk5PIVTj869Wjhoww0q093ojgq1nKuqUdlqzr4oI42RCdz4LMT1P1rzJSb1O5 KxBc2becr2yKpZiXPv71cZ6WkLls7oz75UtLiJZZVUMQASQAM/Wtqd5RfKiJNRaua9pcRSwbxNG5 H3yrDANc84yTs0WpJrRjGzcynaSI146Hn1waF7obl0dBxj2qChaACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAjkby4nb0BNCV2B514HaTUbrUtVkO3Nyw UjqwAwB+Fe3mNqajRXY8zApzcqr7noUMPl5ZiWdupP8AKvFbvoemT0gMTWrS11ForacRsrEqwYZ3 f7P9a6aEpQTaMakYyaTLdtp8SWkaNEIjgF0Q9/r3rKVR8z1uWoK2xfAwMCsyxaACgAoAKACgAoAK ACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAMrWrue1tVW2txNJK2zD NhVGOp9q2oQjKV5uyRnUlJL3VdnPeC9DvdKtZLS4eGSLzDJvjBHJOSOfwrsx1eFZqotzHC0pUlyP Y7avNOojkkWJCWYDjjJppXApWk8E0ZlZVjl6spPQ+v8A9etKkZRdlqiINMkOp2vmCNZC7nsqk1Ps pWuPnV7CyXvljPkyMOucYH60KF+o27FNtdRc/wCg3rY7xxbwfyNbfVW/tL77GLr23i/uJU1qxYKH m8l2/gmUofyNQ8NVWyv6alKtB9bepoCRWXKHcPasbdzUfQA0sFxk4ycCiwEUdzDLI0aOCykggdjV OLSuxJp7E9SMKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgBrMFUsxwB1N AGLGsmqXPnrhIFJXdnJOPSumVqUeV7mSfO7rY2URY0CoAFHQVzN3NR9AGRqm7KKpTc7YQsfbpitq XciTOB1O5vbS6j8i78wNO6ygAZIVQSB+RH417tCFOcXzRtorfNnkVpTg/dlfV3O50tVuESePG11U hvQe31rxKt4vlfQ9aGq5l1NGbbJlZDH5Z6Et/Sslpqi35jHvrG2Co1xDGTwqlgCfoO9Cp1J6pNku cY6N2HefZXQ2+bBKM4xuDYNHLUhrZoLxl5k8UcSAmJVAP92pbb3L2GyStG+X2iLH3qErgItxCMrv HygYJbrTswIlkt0Q3Eag7snKn73r9adpX5WK6tdFiKZJow6Hg1LTTsxp3JDntSAQNnPBGDjmgB1A BQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAUyguzuYkQjov973+lXfk9SdyyiLGo VFCqOgFQ3cofQBjyX7zh41/drnG7OSa39mo67kKTZmXt1tvYLWC08yYJndnkZOK3pU24OUpWRlUq JTUUrsLXwrC0yTXm2QqxZUGQq7uv1Jz1pzx0kuWnp/wCY4WLd56l6LTJtLRUsJ5DEMfu5PmAUdgc ZrGVZVXeote5caLgrQegtvaNeNG900qvGMqpGACeo98VMp8t1DYtRvZy3NZoI2UK6K6gfxLmsU2t i2k9zNu/DumXk3nSWiGXI+YfKfzFb08ZWprljLQynh6Undx1B2urQrHbxPtA6HLChcsn7zKd0tCC TVbgWzM9tuKna65yPY9sVXsI81kyVUdm2hi7pmDNbPEp7oCeKTSjsy077otW8Edla28MZZoohjD8 bRSnN1JOT3YowUIqK6Fu2it4t0sbDLDn5uDWcnJ+6yklui0rhu4OR2OaixQ+kAUAFABQAUAFABQA UAFABQAUAFABQAUAFABQAUAFABQAUAFAEMuZD5Y6H7x9qa01AkVQqhR0HFIB1AEcsnlRlypbHYda aV2BiWto15cyyMjQwhsrg8uP6V1TkoRS3f5GSTk30NZLK3jP7uJUycnaMZPv61zupJ7stQitkJLb b0xHLJF7qf8AGhTs9VcHG+zJ1UhQCd2O9Syh44FIAoAKACgBpRWBDKCD1yOtFwIXt0cqQWQqu1Sp xgfSmpNEuKIjaPJkPIGUnuOoquZdBoGsm27Y2RVPX5aFLuBLawfZ4thIY5JyBSk7jLFSAUAFABQA UAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAITgE+lAEUGWBkIwWpvsBNSAKAKF4WlKQxyqmW+b Jxn2FaU7K7aIlr1LqqFUKOgGKzLHUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQ AUAFABQAUAFABQAUAFABQAUAFAGfqV79jtyVRncsqgAf3jgVrRpc8v66GdSfIiGQzW9isbBo5GGC ytkA+tNWcr7oevLYVdQNsqCdt67fvgYzQ6fN8IcyS1JWv43tHnWRY4wP9a5GFqVTfMo2u+wOate+ g20jSfyZ5LRkcA+Wz8sB6n0JpzbjeKkKKUrSaNLoKyNAoAKACgAoAKACgAoAKACgAoAKACgAoAKA CgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAImjV3DtzgcA9PrTUrKwrakU7RTq0AmCueD jkj2qo3T5rCdnoRzaek1l9ncjO0gMB0J7041OWXMhON42ZlNJFDqdlpcFu0ttHw5GCoYDIz9Ov1I ro5W6cq0nZ/oYOS5400ro6OuM6goAKACgAoAKACgBqsrjKsCPY0WsAm9d5TPzAZx7UW0uA+gAoAK ACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoArmCP7QsijDAknHQ5Heq5n awuVXuV9QvGtIkWKPzbiVtsUY4yfU+gHUmqpw53duyW5FSfKtN2P0+yWxtVjzucku7n+JjyTSqTc 5XHThyRsXagsKACgAoAKACgAoA5+7s9Wsp5bjSnhmWVt0kFwSMH/AGSK7IVMPOKhWTVuq/U5pwqx blTd79GXrFNQkAk1DykcdI4SSO/XPWsKjpJ2p3t5msOe157+RpVkaBQAUAFABQAUAFABQAUAFABQ AUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBwevz6sddfTLWVDvj+0RSN5iGMc5G5Oo46E969XCx oql7VrbR7O/3nBXdR1OReq3/AEN3w/p8sNul3f3X2u9dApk7Iv8AdH+J5NceKqJycIKyOijBpc0n dmhZ6nb3wdoXztcpt75BweKynSlDSRpCpGa90v1mWQpLvd1UD5Dg896bVguLFKJow6g4ziiSs7MS dyWkMKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAK AMuOTz9UnEfksIcI+fvDjI/DmtmuWmm76mad5NLoOlnFhEEaDERO0FTnqe9Ci6junqDlydC3bW0d up8tQNxycVnKTluWklsT1IyJ4Uc55BznKnGapSaE0S1IwoAKACgAoAKACgAoAKACgAoAKACgAoAK ACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAMZtJs7bVJ9ZM8sUjKPNHmYQgDHIroWInK mqFk107mPsoxqOrf/Ilt5X1BmldTHbMmEjYYds/xH09h1qJJQ93qVG89ehpgYAA6CsjQWgAoAKAC gAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAP//Z