20230211 01412100 1.0 TRUE TRUE SoCal_LifeHistory Proportion of vegetation life history types for southern California SEVA, calculated using a multinomial regression model using predictive layers and FIA data. USDA Forest Service Western Wildlands Env. Threat Assessment Center Proportion of vegetation life history types for southern California, 2010. The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. /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 CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorL1uF7jSLiOFS74BCjqcMCf5 VUVdpGVeo6VKVRK7Sbt3sti3LcQw/wCslRO+WYDuB/UfnVmvL6ne8uJEMfmuIj0j8xioHYAE9BXe 8A9LSPk4cVrVypemv/APSaK4vSNfe18u3ufntwcB+rIO31A/P8sV1kM8M6FopUkUHBKMCM/hXJVo ypOzPoMvzOhjoc1N2fVdV/XcsUUUVieiFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGFqHh+2vXaRCYZicllGQT7j/DHXvXITQyW8 rxSqVdTgg16ZWFrOjf2jskhKidflJZsArz7HnP8AM124bEuL5ZvT8j5fO8khWh7bDxtPql1/4P59 TjKtafFdT3YitGdZGGCysVwvckjtSXlq9nMYZMB1JU4YHJ65A6gYI6+/0Grpei77i3u0uYpYFcHK Ehtw5xgj1/Tmu+rVioXvufK4PBVqmJVNRd01dXs1389O9tPuNrT7Ge18yW6uGmmlOWwx2D6D14Hb 2FbFFFeLKTk7s/TKFCFCChDYKKKKk2CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigDmPEGjy3En2u3AYhcPGB8ze49Tj+XesjS9Xn0 0lAokhJJaM8c465/AV31YtzoFldXZuGWRWJywU4Vj78d/auyjiI8ns6quj5rH5PW+sLFYKXLNvX/ AD/zXUSDxDYzRRl38t2IUqf4Cc9T6cdfcZxW3VGWwtZGhdoF3QkGMgYK46Djt7dKvVzTcH8KPbws cTFNV5J7WaVvW/8AwAoooqDqCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMu11i1u5PKQsk4BzFIuGBHUemfarH2mP zSu7BU4OQQAeMDPqdw/Oud17S5mlEsEMkgLEtj5jzk4CgcAYJz3Ld6yrS8ksrvz5DKXyJApP3ye7 Z9VZufeu2OGjUjzQfyPl6ud18LV9jiIdfi1Wnp3+ep1uoI91buILlYXgkDsxHGQNwB9uVPesxPEq h97jK+QCYwuD5ueQD6Ec9+B68VW1Nre9D3dncyCVogzwojEnGVJYjgYBI+n1rBrahhoyjaX9dzz8 yzitSr81G2vVO6a1s7bJ23X39DqNDvryZ5WuLqExKNxyVLDvxg8DkZz06cc46RHWRQ6EFSMgg5BF ecW7JHcRPIN0asrOMZyAeRivR0dZFDoQVIyCDkEVhi6XJK66nqcOY2WIoyhJ3ce7u9f06ElFFFcZ 9IFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFc1qsemTSS25DG+/gEaMSCcHsMY7n6k9TXS0VdOfI7nLi8MsTT9m7fNX+7VWfZ/ged3Wl3 NnFHJKFCuoYDeAw9tpwcjIzgVXlWZZCsysrqACGBBAxx19sV6NLEk0RSRFdT1DDIP4VgeIbBJla4 G0MqFiqr87dBuPqBwPbOc9j30cZzSUZI+SzHh32NOVWhLRW0/P8A4HzOUrp9G1uHy4rOb90qJxI8 mcn06cDrjnsBXMU+Ly/NTzd3l7hv2dcd8e9ddalGpG0jwcvx1XB1lOn10d+qPTaK46y8RLbyJAts sVoDgAMxZcnk579zjFdDHq1hKgdbyEA/3nCn8jzXkVKFSD1R+hYTNsLiY+7NJ9r/AJXs2vO33GhR RRWJ6YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAVDLEk0RSRFdT1DDIP4VNRQJpNWZ5tdW0tvIPOiERkXcqZ6A9O+fz5qCux1j+ymbfcB JblQIwnm7TzyM88DnOTXHV7eHq+0jdqx+X5pgI4Otyxkmn969dEvkFXLWWzIlW+ikYMqhGiwCuPb ocjuf65qozM5yzFjgDJOeAMChmZ3LuxZmOSSckmtZR5lZnDTqezlzJX8mrr7vy7GtFN9jRJtOv3k ZcO9vsZRj+IkEkE+uPcjAHGjD4lCRj7XG5ZuVMMfykf8CPUHI/Cuct53trhJkCl423AMMikufLWQ PCp8uQbgoOSnJG0/TH4jB71zzoQbtP7z1KObV6EHOi7f3dbequ38/l6HplFFFeOfpYUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUEsscMbSOcK gLE46AdaKKcdXYzrTcKcpLojiL+8sby5mlWCRCR8hUqMnuXGDk5J5zzwPeqkjQz3JZiyRHusa54H XaMAZ9P59yivdjTUVZH5VVxM60nKaWrvtbv2I2TaoIZWB9D3wD069/p1xmmUUVcXdGE0k9Aoooqj M//Z