20190627 13234600 1.0 TRUE Map Saltmarshes This dataset displays the extent of our knowledge regarding the distribution of saltmarshes globally, drawing from occurrence data (surveyed and/or remotely sensed). The dataset was developed to provide a baseline inventory of the extent of our knowledge regarding the global distribution of saltmarshes, which are ecosystems located in the intertidal zone of sheltered marine and estuarine coastlines. These ecosystems comprise brackish, shallow water with salt-tolerant plants such as herbs, grasses and shrubs, and are commonly found at temperate and high latitudes. Saltmarshes are of ecological importance as they underpin the estuarine food web. In particular, saltmarshes serve as nesting, nursery and feeding grounds for numerous species of birds, fish, molluscs and crustaceans, including commercially important fish species such as herring (Clupea harengus), and are also home to a number of Endangered and Critically Endangered species. The dataset consists of one polygon layer, one point layer, and an accompanying Access database that contains species information (linked exclusively to the point dataset). /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+gAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAKF3cSQyYVs DGegranBSWpy1qkoysiD7bN/z0/QVr7KPYy9vPuIL6bdgyfoKPYx7B7efceLuY9H/QVPs49h+2n3 Hief+/8AoKlwgWqk+4Ga4/564/4CKOWHYXtKncbNcTxqcNk/QcU4whJjnOpHqV/t1xj/AFv/AI6K 09lDsZe3qdw+3XP/AD1/8dH+FHsYdhe3qdxPt1z/AM9P0H+FHsYdg9vU7i/bbr/nof8Avkf4Ueyh 2H7ep3D7fc/89f8Ax0Uexh2F7ep3E+3XP/PX/wAdH+FHsYdg9vU7kpu7gJ/rPm6/dFT7OF9ivbVO 5NZXM0shWRsjGegFRVhGK0NaFSUpWbNGsDqCgAoAKACgAoAKACgAoAKAMnUgfNH0FdVDY4cT8RSy RW5ziou5sUN2GlcuIgQY4z71hORvCGth65+hPbFYWbZ0ppRLaW6qQxyT+lJybHGmlqJOvAJJIz0A pxeugVEramcIlWYggeorp5ny3OLlXNYcLdCdxYk+lL2j2Q/Z9WSbQvCqKltlJIXYpHQcUXYcqIJ4 ABuQfhVwnd2ZE6dldFXHOK2Mi0Y2xnBxWV0aOL3J7D/j4P8Au1nW+E1w/wAZp1zHaFABQAUAFABQ AUAFABQAUAUbtC06nsBW1N2ictZXkZs2PMxjnvXVHY5Zbk1snyFsZNZ1Ja2NKcb6k+D/APXrJs1S FVxG4b04pKN0U58rRejcSIGFZNWdjeMuZXIrpsIBnvVU1qRVehlmTdNkZwK6+WyOFyu7lsEYH9ax tY3buHGeaHsCHAY+vpSbGl2HMnykk4rPn10NfZ6akYijDbgATWvM7GCgkx/WkUPtk2zkj0pTd4lU laRcrE6QoAKACgAoAKACgAoAKACgCrcHEn4VpB6GNRalWRYnxlcn1qPrDi7CdGEhyKOinFDrXeqH Gly7Me0TE9ABVKSSG4NsYy71OR2zmqT5XczkudWZNattV9x4AFKpuVRehHO4lY7eQOKqC5dyKkuf YpbWaUqDgCui6Suc1ruxZHCjJyRXG6z5tFodapq2o4MnHIHpRKtFMFAkXA+bA+tTKd1c1jGwokB7 j86z5kVcYr7ztPT16UQmxNJ7i8E8DBq1UaYnBMlh4kGSM4NW53FGHKy1UmgUAFABQAUAFABQAUAF ABQBn3UwjuAr8KV4NbU43joctWVp6lSW4Un5cmnHDR6kSxD6DklO4ZI56Vx1YOnKx0QnzK5ZLsow w496IzcXqVK7VhAUYEcD3rZ1Vo0ZxhdNMqvJJEzgH5X4rrhyzSZzScoNoRXGQMn/ABqmiEyxs3L6 N/OuabumrnRGL3QvlnoOprlmlZJG8UwMDYyOuaz9myrDmR1QkkYqnFpahYr8qeOvvWVmhBnB4J60 1vuBK8oWMnccCu5Q2trcxdV63CwmeW4OTxt6VpUpxhHQVGpKc9TUrA6goAKACgAoAKACgAoAKACg DC1b/j7B/wBkV24f4Dz8V8ZTVsHmt2jnuW7Yq7bWHXpXJiYc0Tqw8lzWZo8GPDZxnHNceltTuKlw 8cZzg8n161dCjzu6OetUUdCs1w0gK7AOa71TUdTjc3LQa2AAAcmqRLLqLIYVCliCMk+n41xTSlJq TO2HNGK5dQSU/dBwenTOaXsuXXdDVW+mzLUbP918Z9qzN1fqRtLvkMQ44yCRkGkMcWjDbTjPbNLQ CG4Y44UA9yauNJSd2YVJtbGdNKXdl7CvRpxtFM4ZyuyzpX/H3nPGw/0rLEfAa4X4zcrjPQCgAoAK ACgAoAKACgAoAKAMTUyPtg7/ACjiuzD/AAHBifjKJPzcDFdBzEqk9e9S0UmWBckoFYke9crpOLvF XOhVuaPK3YZKjTAAAkjuOa0hJRIlFyIAhQsD1ra6epjaw+3CtMu8nGec1NRtRdiqaTkrmyCuMDAF ebdM9VAdpBGRmmmJorTzhEBIbf244ranDmfkY1KnKvMYLlXtiXUEg4/+vRKj71kTGv7l2NjVVBkX r371l7FxnYpVbxuVriVyVXop5xXdSpxitDkqzlJ6ldwN/Q81snoZMu6UoW7Oc52n+lc+IfuG+F+M 3K4z0AoAKACgAoAKACgAoAKACgDE1VT9qDdBtHNdmHfu2ODEr3youT2zjvWz0OdDqBig4NICzA+V 46968/FqSd+h2YdrlJTEJVO8Ffes6FWUWaTpRmtTPJ/eFQeB39a9RbXZ573sh6zMsgyzEH3qJUoy i1YuNSSa1NCMbWySSMd68mKsz0UUp2eSbLHAGQvpXq00oxsjgquUpakJYghRWqXUyuSw3QT5W6Hj NZzpN6o0hUS0ZIsYm+YfcPQmsr+zXLfUtR53foMeMISCa0hKUlqROKTJtOUi7JxwFIqa79wvDL3z ZrkO8KACgAoAKACgAoAKACgAoAxNWY/aVUf3c12Yde7c4MV8dimr9jW7Rzpj6QxTjNICa1UtNgeh FYYj4LG+HV5k9zP5K+WrDJrKhRvqzavV5fdRQ2/NnNdt9DiAkKQ3ejfQC/JdIYBg5bHI9K41QfP5 HZKuuTzKbuzKhzwBXVGKTZyOTaQ3rzVCG7QrAgZ5ovfQRqLd26gDcBxXE6NR62PQVemrIju3QMgB HPWqoKWpniHHQWwVhc5I4Kn+lVWa5ScOnzmrXMdoUAFABQAUAFABQAUAFABQBi6q5+0BRj7o7V2Y de7c4MS/fsU9mRzW9znsOC449KVxgT3oAsWjKGbJxkVhWTdjehJK5DcR75iwcEHoK1hK0bWMZq8h i/KdpPI61T1FsOK8Z7UrgMPBHPFMQ9iDwQKSGxzKoUMp475pJu9mNpW0GVQgwCeaAFJJAB7UkrDZ oWTL54QHJ2fl0rlqR9251UWua3kadYHWFABQAUAFABQAUAFABQAUAY+ogG6BJ/hFddB+6cOJ+MqZ GMCtjnGnOOKYCAN36U9BEkaFjtWok0ldlRTbsh8iLGcYJOKUW5ajkktCJj6CrSJYzDN16U9ELUQo T0p3CxIlvIw3gEgdcVDmloUoSeqJRHJgrsPPqKhtb3Gk9rD/ALFPtB2HPpS9rHuV7GfYQWk5z8hp +0j3D2U+wwxOpw6kVXMnsS4tbljTkC3Rx/dNZV3eBthl75sVyHcFABQAUAFABQAUAFABQAUAZWpJ +9DD0rqoPSxxYle9cohSxwBk1u3Y5krllLOQ/eVufQVk6q6Gyoy7EqWIckYOR6nFS61i40Lk0VsU b7gCjvms5VLmsKTi9itNDvYlT9K1hKyOecbvQjhtJJX24wO9VKooomFKUnY0EsIVxkZNc7rSZ1rD wQ9bOBTkJzUupJ9SlRgnexMqhQABgCobuaJW0Q0RqHLY5NO7tYSik7j6RQUAMkRHU7wMU02tiZRT WpUto0W6Zk6YOK2nJuFmc9KKVTQ0KwOoKACgAoAKACgAoAKACgAoAqXK5k/CtYPQ56qvIIIowc/x A/nSnJsdOMV6lmszcKAK0rMGYHofWtIpbmM207DGTK7u+cVSlrYzcNLk8AUR8A57k96zk22b00kt CWpLCgAoAKACgAoAbJjy2z0xTW4pbakFuuJPfFaTehhSXvFusjoCgAoAKACgAoAKACgAoAKAK0/+ s/CtYbGFTcWADB45zUzKp7E1QahQA113jAODTTsTJXQxYQDluTTcuxKppbktSaBQAUAFABQAUAFA CONyEetCE1dWIYBiUj0FaSd0ZQVpWLNZmwUAFABQAUAFABQAUAFABQBG0SvyevqKabRLinuCxBDk E03K4Rgo7D8VJQYoAMUAGKADFABigAxQAYoAMUAGKADFABigACgHNAC0AFABQAUAFABQAUAFABQA UAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQB//Z