20180724 11314800 1.0 TRUE The Source to Tap Land Incentive Scheme is a pilot cross-border farming scheme which is the first of its kind, and is being trialled in the River Derg area. The Scheme aims to give landowners, who farm in the part of the River Derg catchment upstream of the Derg Water Treatment Works, grants of up to £20,000 for a farm business based in Northern Ireland; €23,000 for a farm business based in Ireland, to make some small changes in farming practice that will make the farm business more sustainable whilst also helping to protect water quality in the River Derg – a win-win for everyone!<div><span style='font-family: Asap; font-size: 12pt;'>The eligible area boundary can be used to initially determine whether the farm is eligible, but this boundary does have innacuracies, as it has been calculated from a fairly low-resolution digital terrain model. At the</span><span style='font-family: Asap; font-size: 12pt;'> edge of catchment areas the decision as to whether a farm is included, or not, should be checked in the field as field drainage on farmland can route water contrary to the topography.</span><br /></div><div><br /></div> MCPASource To TapWater PollutionCatchment ManagementFarm Grants The Source to Tap Land Incentive Scheme is a pilot cross-border farming scheme which is the first of its kind, and is being trialled in the River Derg area. /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAorD1XxLHY3y6bZ2c9/qLgfuYQAseenmOeFyM+/FR/2zqtjdWser6ZbRW1xKIftNvclwjt90MpQ YBPy5z1I9aj2kb2OlYOs4qVt9Vqk2vJXu/Lv0OgpFZXUMrBge4Oa57W7x9TvR4e093ErMjX00bFf s8WQxXcBw7jgDrg5qte6bD4SWLU9KimjsIWJvrVJWKGMjBkCkkBlwCcYyM5zSdS22yLhhE0lJ2lL ZW+67vpfpp+DudXRWZqHiDSdLeNLy9jR5FDKgBZipOA2FBOM9+lUj4mkurlotH0ufUUQfPOrrFGC egBfG73x096bqRWlzOGFrTXMo6d3ovvdkdBRWJba5cpqcGn6tYx2UtyhaB0uPNSRh1TO1cNg5xjn n0rbqlJPYzqUp02lLr8/xWgUUUUzMKKKKACiiigAooooAKKKKACiis1/EOixzRwtq1iJZW2onnrl j6daTaW5cKc5/Am/Q0qKKKZAUUUUAFFFFAGBYZtfGWrwSr817HFdQvnqiKI2Xrxg4PT+Ok8Ra5pF mp0/UbV71Xj8yeFIhIIogR+8kBPCg49+OBxV3VtHXU3t547qa0u7Ykw3EO0lQ2NwIYEEHA4I7Cs+ 6sLfw/4b1e5kzfTzRM9zJckAznbgBiAAFA4wOgzWLUkmlselSlRqThOTblorLR3Wid/S3nfy1NjT 9NsdLtvI0+1htoS28rEgUEnucdTwPyqW8hNxY3EChCZI2QB87TkY5xziotKtJLDR7Gzmk82W3t44 nk/vFVAJ59cVbrRLS1jhnJ+0cr3d9+/mYPhjQrnR7Z2vriO4vJI4omkjU4CRqFUZPJ7sfdjW9RRR GKirIdatOtN1J7sparpdvq9g1pcAhSQyOuN0bA5DKT0IrEN54i0y2uLS70+XUzsYW15ZsgZuTgSK Su0gbeVyK6iilKF3dOxdLEOEeSUVJb2fT0a19ehy+n+HNT06xt3tdanS9MS/aVus3MUsmBuPJDDJ z0YdaS012TSNVu7DxFqtsMRxSQTPGIQ27IfHbAbA5Oeea6mil7O1uVmrxjqc3top39E9+9m/L0GQ zRXEKTQSpLE4DI6MGVge4I6in1yN14ZuU1n7PpoNnot2Ee7W3lMZVlLkhQD8u/Kg4/u1cufB+npb SNpMf9nX2AY7iFmGXBJBcZ+fknOcnBoUp9v68glQw6a/eb+W3rrp8r9+p0VFc7K3iu7KWgi0/TwV /e3scpn/AARCq4PX72R9aJvCUZTzrfVNTTUVJZLt7pn+bngofk2+wUcUc7eyJWHpxt7Sok321++2 n3XfkdFUc8qwW8kz/djUsfoBmubXXtdSVNMk0MnUiFxMHzbFckM5cD5QNv3fvfMKll0K91m7hfX5 LZ7OAZFlbl/LlfKkNJk4YDacKR370e0v8KH9U9m71pJLyabfpZ9fkT+FNcn1zSfOvIo4b2Nts0UZ 4UH5kI5PVSv45plzdapqWt3FhptxHZ29mq+fcPF5jPIw3BFBOAApBJ9xU994W0XUruK5urCJ3Rdp GMK6gcBl6MB2z0o8P+HoPDsV5DbzySRXFy04R/8AlnkABR7AAD8KlKekXt3NZVMKuarT0k9otXSu 9bau9ltdfkZ9zbeKdS0x9NnXToFlQwz3iysXZDwWWMLgEj1bg1sHQtKOny2A0+3W1lj8t40QKGXG Mcc+nPXitCirUEt9TnniptJR91J30017/wCXbocrHd69oGm6fBex6dLEjQWjT/an3PkhN5ymAe/U 811KsGUMpBUjII6Gorq1t723e3u7eKeB8bo5UDq2DkZB46gGuY0+WfQfEGn6DLqJewWxCxG4RU3s CFREYAZYBTkE/wAQqbuDs9ja0cVFyikpq7e+q/HX/M62iiitTgCiiigArA1u3XU9b0zSpmJtGSW7 niB4k8towqsO43ODjvto8UaxLpkFpDDcQWj3c3lm9uGAjt1HLE54LEAgDpnqataRolnp266R3uru Zf3l5M255AcHr0C8DAHFZyfM+RfM7aUfYQVeT1d+X8r36We3W626mrRRRWhxBRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFc/4vHnaba2axlp7u9hiiYNtMbBvMLA9iAh6d8V0Fc+F/tPxn IJnAi0qNTFDkZaWQHMhHoF+Ue5aoqarl7nVg/dqe1/kV/wDL8bHQUUUVZyhRRRQBWvXs/Ia3vZYl inBjKyOF3gjBA/CuGF5b2EtvY6DrOqSZnitYYZIvMgcKwDBJCmMKgbOD0FdDrNrZX3ijR4Lu2guf 3NzmOUKwCnZyVPXkAVuwW8NrCsNvDHDEvRI1CqPwFYyi5t9LHpUqsMNTi2nLm1tpbdrqnfby9SSi iitjzQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsO1CL411LOGd7G2IPdQHlBHt2P4 1uVg6GpGua+Z3Z7oXKDJxgRbAYwAOg5b6nNRLdf10Omh/DqPy/8Abkb1FFFWcwUUUUAcTBfW2geJ tYtxYXN/qdxL58PkhXlMDKDgliNqK+4Ae4wDXU6VqtprOnRXtnKrxuBkAglGxkqwHRhnkVJf3Mdh Y3N+6Bvs8LyHHUgDJGfwrL8O2k4kvtVuI7eFtRaOVYrd96qgQAEttGWJJJP0rGKcZcqPRqyhXpOr JWasr33asrW9NfL5o3aKKK2POCiiigAooooAKKKKACiiigAooooAKKKztU1uw0i3kkubhBIq5WFW zI5PACr1JJwKTaSuy4U5VJKMFdmjTZJEiieSRgiICzMxwAB1JrmYm8YpbpNt06d7iPJgk3RfZHPT kZ3gdxwcjg0SeGNRvVgtdV1yS+07O+4haFY2lYdF3Lj5M8456AZqOdvaJ1LC04v95UVvK7fnbT7r 2T6O2os3jS0uPKttJV59QuGUW8VxDJErKf8AlpkrygHOR/WpJNK8S3Kqk3iGCBSCxa0strK2OBlm YFc89ATjtXRKoVQqgBQMADoKWjkb+J/oL6zCH8GFvW0n+K0+45ptG8QXiSyXmvvbzKB5CWCKkYI/ ibcGJycZGcdquaHpl9az3d/qlxFLfXQjV1gGI40QHaBkAk5ZiSfXoAK2aKappO5M8XUlBwskn2SX 9bIKKKKs5QooooAxPFrRL4bnExAieSFHycDDSovPtzWtbmA20X2YxmAKBH5ZBXb2xjtWX4rmeDw3 dOnlBiY03Sorqm6RV3YbgkZyAe4FX9OsItL022sIC5it41jUucsQBjJ96hfG/Q6pW+qx115n+S/4 BaoooqzlCiiigAooooAKKKKACiisXWtZktXXTtOQz6rMF8tBGzLEpbBkcjhVHJ5POMClKSirs0pU pVZcsf6835G1RXKWlzJ4Z1g2msalPPBfqHhu7mQbfOz80YHRAcqVA4wDXTxTwzqzQypIFYqSjA4I 6jjvUxnzepdfDuk01rF7Po/62JK5rw9aW15qes6q1sjeZflbeWRAWxGioWVjzjcrD8K6WuX8698K TypLDJeaJJL5iToV8yzLv8ysOC6ZbIIBIGc5wDSno03sa4W8oThB+87LtdX1S89vXXqdRRWLJ4r0 hWVIp5bmRuiW1vJKf/HVIH41f0/UYNTgeWASr5chjdJYyjKw7EH6j86pTi3ZMxnh60I804tLzRbo ooqjEKKKKACiiigArnNWnv73xFbaLa3QtrZ4GnuJogTKNrKNoOQFyG64J9q6OuK0+60dPH+tagdX tYZAq2r27TBd7ALliC3UbdvA9ayqvZd2d2Bhdzna/LFtaX10S/O5sr4Q0XzFkmt5bmRWDBri4kkw wOcgFsA5HYVuVDLeWsEZkmuYY0Gcs7gAY68muXs7nxFeafca1a6pZm1kMklva3VuNvlqzbT5ilcA qAckNineMHZL7hKFbErmqT0Wi5r7vot+3kjrqKp6VqC6rpNpfpG0a3ESyBG6jIzVyrTuro5JxcJO Mt0FFFVdS1C30rT5r26fbDCpY46n2A7k9AKG7K7CMXKSjFXbLVFZWi62urC4jkt3tLy3cLNaysC6 ZAZTx2II5+o7Vbv9Ss9LtjcXtwsMY7nkk5xgAck5I4FJSTV+hcqNSNT2bXvdt/utuWq5U+L5ov8A iYT6a6aEzFBeBiXHTEjJgYQkkZBJ4z0p7Sa74iiWIW7aRp0oO+Yy/wCkunYBNv7sn1ySPrXQ2trD ZWkNrbRiOCFAkaD+FQMAVF5T+HRHSoUsOrVUpSfRPZeq0v23t1Rzbap4hv1k1TS7eNdPh+aK1njK y3i7Mkhs/LyRtGOccmpbEX134oXVItOvLK1mt/LuRdtGPMKk7CqqWYEZbOccHpxXS0U/Z63bE8Wr OMYJaW+Xn3fW76/K0F3Z21/btb3cEc0TDDJIuQa5y70n+xNQ0/8AsSeazS9vY45LSMp5BVVZ3O1l O0lEI+UjnFdVWJ4q0++1DSAdLcpqMEqy2zhwoVjlGJJB/gd6KkdL21Fg6rU1TcrRffbybXk7M265 /VZdRvdeh0nT7uS0jW2aa6nSNGIDNtQDd0J2yduMCj7DrurSo1/dLplshJEFjIWkc9t0hA4HoF57 1oaVotjo0TraQ4kkwZZnO6SUju7dSeT+dDvPTZDiqeH95tSl0Vrper2dulrq9jPPhy8ktjaT+ItR ltSfmUrEHZf7pcLn6nr71r2On2mmW32eyt44IsltqDGSepPqferNFUoJaowqYipUXLJ6eSS/IKKK KoxCiiigAooooAKpzaTp1wkizWFtIshLOGiU7iepPHX3q5RSaT3KjOUXeLsY8HhXw/bSLJDo1ijq MAiBfr6VJ4jjhbwtqqSqfJFnLuC8cBD0rUqjrEF5c6NeW+ntCt3LEyRtMTtUkYycA/yqXFKLSRvT rTnWhKpJuzWrfmSabuOlWe5w7eQmWAwGO0c1PLNFAm+aVI1yBudgBk9BzXHWPhrxFpuy6s9StY7y UiO5il3ywCJQAm0cHcAMds7j6CrY0bUtb1Lb4litJbC0B8mKEHy7h2JG9kJONq4ABJ5JPpUKcrW5 dToqYajzuXtU49bb/JbPXbXbU29V1JdKsTcGGSdyyxxwxAbpHY4AGeOvesn7Drmq3+nvqsOnxWUE puGhidnfcFYIpJGDjcDkY5WrNh4V02xuIpybi6kgG23N3MZfIHogPA+vX3rbquVy+Iy9rToq1HV6 6td9NNfx3uZOs+H7PWAsxVYL+LBt7xFHmREHIwe4z29z61keFbCTUJLrWtask/tM3DRIzK21EQKu Yw3QFkLZ6811tFDppy5hQxlSNF0r/Psuq9Hp9wUUUVocgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH /9k=