![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA/EAAAWhCAIAAABS/YcPAAAACXBIWXMAABYlAAAWJQFJUiTwAAAgAElEQVR42uzdf3CU5YHA8Ydmb6DaIZ2EDPYkggNJ1iKWMbQEQkeI2NoTonbsnD0IULgeOlxJwPY6o0hCDh2nN4XQ6wi0g4YE7Q9tkV/VKx6kLUFQO5PKRTYhnNjgXXEJ0ziYmrnd4f54nS1DFQKE8wKfzx/Mmze7+2bf55/vPjx5MujUqVMBAAAYsD7mFgAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAADQ9AABoegAAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AABA0wMAgKYHAAA+QjG34OKlU6kd27f/Typ1iV7/r2KxMGjQ/8EbGTp06NRp0wwoAICmv+LU1dX1nHx3yJAhA/2N/Ofhw8eOHfvbe+81pgAAA8igU6dOuQsX6Z677q5auvTyeC9rVq9+ZvPPjSkAwABinr4fZGdnn/MxyWTyv956K5lMnjx5cvjw4WMKCnJycrKysvrlB2hvb3+9tTX6N4QwsaSkoKDgM+PH5+Xlne9LDR061IACAGh6/qy3t/eJDRv279v3gd8dkZ9fWVV1AeX9Ya8/o3zmia4Te5ub9+/bt6mxcXZFxbSysv765AAAgKa/4vyupeWJDRu6u7ujL4cNG1YyeVJOTu7+ffvaEokQwtHOzm898MAFl3cymVxZW9vd3T2jfObD1dW5ubmZb7UlEnMrKjY1NjY1Na2orZX1AACanvOTTqd/sH59NH0+bNiwx77znc+VTLzqqqsyD0ilUoc7OpZWLWlLJKLy/qdvf/u81r2k0+nv1dV1d3evqqsrv+vO6DXnz5332c999huVlUXx+J6XXnp05SMN9fU/fvrpWRUVBgUA4HJlf/pLYveuXVHQTy4t3fXrX00tm3Z60IcQYrFYUTy+Zfu25StqQghHOzvXrV2bTqf7foltW7d2dnYuX1ETBX0I4XBHx97m5ldefiWVSkWXeHDZQ5NLS3fu3Nne3m5QAAA0PX2VTCY3NTaGECqXVDU8temMmj+j7OfMnfuTZ58JIbze2rp7164+XqK3t/e5zZuL4vG/mzUrOpNKpa6++hNP1NfXrlyZWe0Ti8VWf29NCGHL5s3GBQBA09Mn6XR6TV1dCKEoHr9/0aK+PKV4woTKJVUhhE2Njclksi9Pefvtt0MIC++7LxZ7f/XUL7bvmPr5z8+fN2/6tGkTiyd0dXVF53Nzc2eUz2xtbTU0AACanj75jwMHjnZ2hhDW//CHmeA+p/sXLSqKx0MIzz7zTF8eH12iKF70YQ/4U8+fMsc3FxeHEPr4aQEAAE1/pdu7d28IoXJJ1Yj8EdGZ3776atXixbU1K3p6eqIzPT09W5/bMmfW7KZdu6MzsVisduU/hxA+bNfLMxw7diyEcPXVn+jLgz+Z/UnjAgBwGbPvTT9LHDwYQhg37qboy39ds2bN6rrouKG+fvmKmnu+8pWbPj32/Q8Azc1F8fiqutVF8fio66+PTvb29g4ePPjsVxk+fHgI4d13T/blR3rzzSPGBQDgMmaevj+l0+no91PHFBSEEFKpVBT0O154fv9vX50zb97YsWNf3rc/hDCjfGai49Cqurrbv3R7/nXXhRAyu8tHa+XPLnr9tkRb5kz5XXeuqnv/w0PTb36T+V+CEMLhw4dDCBfzl60AAPj/zDx9fzpx4kR0ECX171paoi+jtfLLa6pDCHfc/qUQQlnZrbFYLLMNZWRyaene5uajnZ35+flnv1BOTk4I4dFHVv7NjDvOvmr/aOfR7Vu3jb3xRqMDAHC5Mk/fnzJrZqKl85nlNNGG8V1dXalUamJJSQjhj91/jM5nNqiJHhBCOMvelxlZWVmzKyqOJ48/uvKRszwslUot/PrXQwj3fvWrRgcAQNNzbpk/BNv5+9+HEHJzc6MZ+m8uXVpbs2Ji8YQ7Z8y8Y8YdIYTHv//9ho0bp0yaNLF4wtbntkT93ZZIhBD++tpr+3Kt6bfdduO4cQ319Q0bN0afGc7Q09PzzaVL2xKJu+6++5wT/wAAaHre9+mxY8NpK92j33/dvnVbQ3195ZKqLdu3RbvRH08er62uyc0dtuOF56MVOH/47z9ET4nW1fTFPyxcOHLkyNrqmjtnzGxLJKZ/4baOI290HHnj41d9vGnX7rJbbtm+ddukyZNnlpcbFwCAy5j19P2ssLDw9dbW9evWRSvdi+LxHS88Hy2qyfwW7DcqK+9ftOhwR8foMWMyq+E3//xnIYQR+flZWVl9vNbQoUOX19T8+Ec/2vnLX0bL9IflDTuePJ55wML77ps0ebJBAQDQ9JyH0ilTntu8uS2RePqpp+bMnRudzNT8n+97LBYty4m0JRLRDjlTp049r8tlZWXNmj37C1/8YsehQwdee+3gwYMjR426IR4fOWrUzcXF59wTEwAATc+Z8vLyZldUbGpsrK2uKSu79fQ9JT9MKpWaW1ERQhiRnz+trOzCLpqXl2dKHgBA03OBuru7k8lkJq+nlZU1NTUd7ey858t3b2xsPH0+/i91dXUtWVwZLZiprKrKysrKvNRH9V4MKADAwDLo1KlT7sJFGjPq+szxg8uWFRYWJpPJbz3wQHRmzrx5Dy576AN3kW/atfvv58+PjqO17y/t3bt+3bqP9u10HHnDmAIAaPort+lDCP/y3e/m5eW9884769aufb21NYRQFI9PLCkZP378zcXFIYSOQ4cOHHjtlZdf2dvcHELIzs6ev2DBZ8aP7+zsfPihhz7yt6PpAQA0/ZXe9NnZ2cuWL8/LywshvLhz56bGxrM8d2JJyfwFCwYPHpxMJlfW1p7v0pecnJyHq6uj48aGhsmlpW++eWTblq3/uHhxdKDpAQA0Pefd9JHMPpLJZLLj0KGWlpbEwYNRsmdnZ8dvuKGgoOC6kSMLCwtDCBe85ObaEdf+as+eBV/72rhxN40ePXrt44//4t9eWLG8urp2xS1Tprx19C1NDwBw2fM7spfK+nXrWlpabp0+vbCwMLMpTW9vbwjh9C0m29vb//3FF/fv23cx19rw5JMhhI1PPtne1rZty9bq2hV1q1ZfWNADADDgmKfvBx84T5+RnZ09s7y8KB4fMmRItCAnmUy+9957bYlEtD3OxVw6mqe/ZcqU4cOv+enPnh0z6vroTNHoMel0+sJe0zw9AMDAYp7+kuvu7j77kvqL9+hjjxUWFjXv2ZM5c8FBDwDAgGOevh+cfZ7+ksrKyrrmU9dEx9Fim+jMxSy8MU8PADCwmKcf2NLp9Bn5/pdnAAC4vJmnBwCAge1jbgEAAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAADQ9AABoegAAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAgKZ3CwAAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAADQ9AABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAADQ9AABoegAAQNMDAACaHgAANL1bAAAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAADQ9AABoegAAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACg6d0CAADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAADQ9AABoegAAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAABN7xYAAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAADQ9AABoegAAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAGh6twAAADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAADQ9AABoegAAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAQNO7BQAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAADQ9AABoegAAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAmt4tAAAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAADQ9AABoegAAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAAJoeAAA0PQAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AACg6QEAQNMDAACaHgAA0PQAAICmBwAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAADQ9AABoegAAQNMDAACaHgAA0PQAAKDpAQAATQ8AAGh6AADQ9G4BAABoegAAQNMDAACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACApgcAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABoegAA0PQAAICmBwAAND0AAKDpAQBA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAEDTAwCApgcAADQ9AACg6QEAAE0PAACaHgAA0PQAAICmBwAAND0AAGh6AABA0wMAAJoeAADQ9AAAoOkBAABNDwAAaHoAAND0AACApgcAADQ9AADwv+3WMQ3AQAzAQLkQujyE8keYLk8i0h0ET/b0AADg6QEAAE8PAAB4egAAwNMDAICnBwAAPD0AAODpAQAATw8AAJ4eAADw9AAAgKcHAAA8PQAAeHoAAMDTAwAAnh4AADw9AADg6QEAAE8PAAB4egAA8PQAAICnBwAAPD0AAODpAQDA0wMAAJ4eAADw9AAAgKcHAABPDwAAeHoAAMDTAwAAnh4AADw9AADg6QEAAE8PAACeHgAA8PQAAICnBwAAPD0AAHh6AADA0wMAAJ4eAADw9AAA4OkBAABPDwAAeHoAAMDTAwCApwcAADw9AADg6QEAwNNLAAAAnh4AAPD0AACApwcAAE8PAAB4egAAwNMDAACeHgAAPD0AAODpAQAATw8AAHh6AADw9AAAgKcHAAA8PQAA4OkBAMDTAwAAnh4AAPD0AADg6QEAAE8PAAB4egAAwNMDAICnBwAAPD0AAODpAQAATw8AAJ4eAADw9AAAgKcHAAA8PQAAeHoAAMDTAwAAnh4AAPD0AADg6QEAAE8PAAB4egAA8PQAAICnBwAAPD0AAODpAQDA0wMAAJ4eAADw9AAAgKcHAABPDwAAeHoAAMDTAwAAnh4AADw9AADg6QEAAE8PAAB4egAA8PQAAICnBwAAPD0AAHh6AADA0wMAAJ4eAADw9AAA4OkBAABPDwAAeHoAAMDTAwCApwcAADw9AADg6QEAAE8PAACeHgAA8PQAAICnB2vQAsUAAAEhSURBVAAAPD0AAHh6AADA0wMAAJ4eAAA8PQAA4OkBAABPDwAAeHoAAPD0AACApwcAADw9AADg6QEAwNMDAACeHgAA8PQAAICnBwAATw8AAHh6AADA0wMAAJ4eAAA8PQAA4OkBAABPDwAAnh4AAPD0AACApwcAADw9AAB4egAAwNMDAACeHgAA8PQAAODpAQAATw8AAHh6AADA0wMAgKcHAAA8PQAA4OkBAABPDwAAnh4AAPD0AACApwcAAE8PAAB4egAAwNMDAACeHgAAPD0AAODpAQAATw8AAHh6AADw9AAAgKcHAAA8PQAA4OkBAMDTAwAAnh4AAPD0AADg6SUAAABPDwAAeHoAAMDTAwCApwcAADapnq73O1WpAgAAe8zMD237c3Kbl788AAAAAElFTkSuQmCC)
11
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 72: e55515, enero-diciembre 2024 (Publicado Abr. 09, 2024)
Duquette, J. F., Flores, E. E., Ureña, L., Ortega, J., Cisne-
ros, I., Moreno, R., & Loman, Z. (2020). Habitat use
and abundance of island-endemic- white-tailed deer
in Panama. Mammal Study, 45(1), 13. https://doi.
org/10.3106/ms2019-0036
Egan, M. E., Day, C. C., Katzner, T. E., & Zollner, P.
A. (2021). Relative abundance of coyotes (Canis
latrans) influences gray fox (Urocyon cinereoargen-
teus) occupancy across the eastern United States.
Canadian Journal of Zoology, 99(2), 63–72. https://
doi.org/10.1139/cjz-2019-0246
Gallina, S., & Bello Gutierrez, J. (2014). Patrones de acti-
vidad del venado cola blanca en el noreste de Méxi-
co. Therya, 5(2), 423–436. https://doi.org/10.12933/
therya-14-200
Gallina, S., López Colunga, P., Valdespino, C., & Farías, V.
(2016). Abundancia relativa de la zorra gris Urocyon
cinereoargenteus (Carnívora: Canidae) en la zona cen-
tro de Veracruz, México. Revista de Biología Tropical,
64(1), 221. https://doi.org/10.15517/rbt.v64i1.18237
Gronwald, M., & Russell, J. (2021). Measuring rat relative
abundance using camera traps and digital strike cou-
nters for Goodnature A24 self-resetting traps. New
Zealand Journal of Ecology, 45(1), 3430. https://doi.
org/10.20417/nzjecol.45.7
Henderson, C. B., Demarais, S., Street, G. M., Strickland,
B. K., & McKinley, W. T. (2020). Fine-scale vegeta-
tion use by white-tailed deer in a forested landscape
during hunting season. Journal of Forest Research,
25(6), 439–443. https://doi.org/10.1080/13416979.2
020.1814510
Hernández-Aguilar, J. A., Cortina-Villar, H. S., García-
Barrios, L. E., & Castillo-Santiago, M. Á. (2017).
Factors limiting formation of community forestry
enterprises in the Southern Mixteca Region of Oaxa-
ca, Mexico. Environmental Management, 59(3), 490–
504. https://doi.org/10.1007/s00267-017-0821-8
Higdon, S. D., Diggins, C. A., Cherry, M. J., & Ford,
W. M. (2019). Activity patterns and temporal pre-
dator avoidance of white-tailed deer (Odocoileus
virginianus) during the fawning season. Journal of
Ethology, 37(3), 283–290. https://doi.org/10.1007/
s10164-019-00599-1
Hinton, J. W., Hurst, J. E., Kramer, D. W., Stickles, J. H., &
Frair, J. L. (2022). A model-based estimate of winter
distribution and abundance of white-tailed deer in
the Adirondack Park. PLoS ONE, 17(8): e0273707.
https://doi.org/10.1371/journal.pone.0273707
INEGI. (2021). Aspectos geográficos, Puebla 2021. Instituto
Nacional de Estadística y Geografia. https://www.
google.com/url?sa=t&rct=j&q=&esrc=s&source=we
b&cd=&ved=2ahUKEwiUstva_KD3AhWTDkQIHeI
zATsQFnoECAUQAQ&url=https%3A%2F%2Fwww.
inegi.org.mx%2Fcontenidos%2Fapp%2Fareasgeograf
icas%2Fresumen%2Fresumen_21.pdf&usg=AOvVaw
2I0Hrw2j2mhDiq5MUdkW3o
Landry, S. M., Roof, J. E., Rogers, R. E., Welsh, A. B., Ryan,
C. W., & Anderson, J. T. (2022). Dietary patterns
suggest West Virginia bobcats are generalist carnivo-
res. Journal of Fish and Wildlife Management, 13(2),
1–13. https://doi.org/10.3996/JFWM-22-001
Mandujano, S. (2019). Fototrampeo en R: Orga-
nización y Análisis de Datos. Volumen I. Institu-
to de Ecología A.C. https://www.researchgate.net/
publication/340413631_MANDUJANO_S_2019_
Indice_de_abundancia_relativa_RAI
Mandujano, S., & Morteo-Montiel, O. (2018). Sugerencias
para organizar, administrar y exportar datos de foto-
trampeo con el programa WILD.ID. Revista Mexicana
de Mastozoologia, 1(2), 31. https://doi.org/10.22201/
ie.20074484e.2018.1.2.263
Meredith, M., & Ridout, M. (2009). Estimating overlap
of daily activity patterns from camera trap data.
Journal of Agricultural, Biological, and Environmen-
tal Statistics, 14(9 september), 322–327. https://doi.
org/10.1198/jabes.2009.08038
Michel, E. S., Gullikson, B. S., Brackel, K. L., Schaffer, B. A.,
Jenks, J. A., & Jensen, W. F. (2020). Habitat selection
of white-tailed deer fawns and their dams in the Nor-
thern Great Plains. Mammal Research, 65(4), 825–
833. https://doi.org/10.1007/s13364-020-00519-6
Palmer, M. S., Swanson, A., Kosmala, M., Arnold, T., & Pac-
ker, C. (2018). Evaluating relative abundance indices
for terrestrial herbivores from large-scale camera trap
surveys. African Journal of Ecology, 56(4), 791–803.
https://doi.org/10.1111/aje.12566
Pustilnik, J. D., Searle, J. B., & Curtis, P. D. (2021). The effects
of red fox scent on winter activity patterns of subur-
ban wildlife: Evaluating predator-prey interactions
and the importance of groundhog burrows in promo-
ting biodiversity. Urban Ecosystems, 24(3), 529–547.
https://doi.org/10.1007/s11252-020-01056-5
Retana-Guascón, O. G., Martínez-Pech, L. G., Niño-Gómez,
G., Victoria-Chan, E., Cruz-Mass, Á., & Uc-Piña,
A. (2015). Patrones y tendencias de uso del venado
cola blanca (Odocoileus virginianus) en comunidades
mayas, Campeche, México. Therya, 6(3), 597–608.
https://doi.org/10.12933/therya-15-313
Rodríguez-Luna, C. R., Servín, J., Valenzuela-Galván, D., &
List, R. (2021). Trophic niche overlap between coyo-
tes and gray foxes in a temperate forest in Durango,
Mexico. PLOS ONE, 16(12), e0260325. https://doi.
org/10.1371/journal.pone.0260325
Roque, D. V., Göttert, T., Macandza, V. A., & Zeller, U.
(2021). Assessing distribution patterns and the rela-
tive abundance of reintroduced large herbivores in
the Limpopo National Park, Mozambique. Diversity,
13(10), 456. https://doi.org/10.3390/d13100456