20191007 11464100 1.0 Item Description TRUE The African Bean Environments (AFBE) were defined by elevation, annual rainfall, soil pH and solar radiation/day length. The elevation data was the 90 m resolution Shuttle Radar Topographic Mission (SRTM) (Reuter et al., 2007). The climatic data was the Global Aridity Index (Zomer et al., 2008) based on the WorldClim data (Hijmans et al., 2005). Elevation was classed as highland above 1500 m.a.s.l, mid-elevation between 1000 and 1500 m.a.s.l, and lowland below 1000 m.a.s.l (Figure 70).<div><br /></div><div>Variable: <span style='background-color: rgb(247, 247, 247); color: rgb(51, 51, 51); font-family: &quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size: 14px;'>AFBE_ID</span><br /></div> Bean Bean Atlas Bean production Africa PABRA African Bean Environments in the MBPA of Africa PABRA, CIAT, Reuter et al., 2007, Zomer et al., 2008, Hijmans et al., 2005 Farrow, A., Ojara, M. & Muthoni-Andriatsitohaina, R. (2019). Methods and data. In: Farrow, A. & Muthoni-Andriatsitohaina, R. (eds.). Atlas of common bean production in Africa (2ª ed.). Pan-Africa Bean Research Alliance Better Beans for Africa PABRA. pp 159-171 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooozzigAooooAKKKKACiiigAooooAKKKKACiiigBNw3bec4z0paKQA7ic8elAC0UY5zRQAUUUU AFFFFABRRRQAUUUUAFIFAYsOp60tFACF1UqCQCxwB6nGf6UtQXNt9p2hpGVVOfl65qXegcR7hvxn BPJFADqjaRvN2KucAFu3BP8A9Y1JUVyZFhLQo0jqQQgYLu56ZNAEtFRQEmNSUdcgNhzkgnt+FS0A FFFFABRRRQAUUUUAFJjB47nnJpaqX939ki8w7QgUsxY46ds9iaALdFcsmoWc9ilxdXcFvbQvny3c OxG4cYU4IOR2yD61Zm8QXMUqWthpV9qEu1WMpTyY8NyPmYdce1aQpSnsv69S3TknZnQUUiEsillK kjJU9valrMgKKKKACiiigAooooAKKKKACmmNDIJCil16MRyKdRQAVQuluPPLwFmlUZVGBCHtyfry R7D0q/RQBFAkiIfMOWZi33s4z2H0qWiigDC8Yapf6T4cuLjSkjfUSQtukqM6s2emF5JwDj3xUWh3 WrajoOn31+yQzPCrzRiMod2RleW+UnHII4zj1roSqsVJUEqcgkdKybXQbaG/urt0VmuJVmK7mI3q WweTjoRxjgj6Yvn93lt13Jd76GlbMz2sLO25iiktxycdeOPyqWkChRhQAPalqCgooooAKgvLSO+s 5bWXOyRdpx1HvVXV52ghjYTmIZOdoyx44wPrWdpOtBZfs97PzIcxs579+T+FXyPlcio3XvLoY2ne Hr4+MGM9m0Wk23zwqXBV2XhWPqx5b2ru6KKxhDkTV29b6hKTk7sKKKKskKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiqeoQXs0aiyult2JwzMm7j1Hv1oBltWDKGU5B6GlpsalI1VmLkAAsep9 6dQAVHPKsEEkr/dRSxx7VJVC6msr+O808XUZmjT96iMC8YI4JHalJ2Wm41vqcjFKt/qC7h87FVZi 3OC5P4dfpxW1qnh60lurIiELBExkkZiSBjB65+tNsNHgivyJZFZ5Yt68bSrfT25q7qljet4en0/S r3yb7y/3UrfX9M8jPaj/AJd8j6Fcyk1ZkGmXEt1r1xucTRQwqI5Um3LzjIwP4gV5OB1HrW/XLeD9 FvtH0u1W4lja4YMLkAlh94lcHsQOoxzk11NC2FNJSsgooopkhRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFMkiSaMpIoZT2NPooAznsJ1mLQy7VH3NzkkD0+lY+maNb6Zq9/fW7zNdXxIlE hBC7T1xjjJz1J/Wt+e2cv50EhWXP8THbj0xWTBFOXlLyERxj5yXyC3Bx6cms3bmV0TOtP4bbhqEF z5Q+yojPGwJQ8gjnIyf6d6qP4hmt45UEEoupGWNDMmF3d8/gR+Wa1YyJEhCmQSyE7t2eO+fTiqM8 tgjXc95LFBbJht+MrgELuz684+p+udW1a4UZWaUlddP+CbtnAbe1RGYM+MuwH3mPU1PWX/b2lRwx +VfRXH3F/dOJCAcfM2OgwcknitTqMipTT2LaCiiml1VlUkAscAevemIdRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFACEBgQQCDwQarXUSiLCuI1xjaB9444H14q1WbqhFvD575lG4bY nwVB9ememe/ek3ZXY1HmfKg/czWTgTNDLIm0zIuSv/fQIrnbzw3qkF3ceXdNfac9uwMNxgvvOM4w OemcYHWtBJltrUOpPlv93Kghmxgggcjp/gDUnhttRMI+0R4tsvsJOTj5dvf/AHh+HvUy5ZW1FFTV +ZWG6VaazFfQyrb6ZY6XIm57SKIiVDg9wACcnn/JroqZHCkTSMgwZG3NyTk4x/Sn04x5VYbdyO4l MFu8oiklKDOyMZZvYUqhZNkrIQ4XgN1XPUVjarr0tlqkenW9jLNI8XmtMTtjjXOOvc+30q7px8xV mklaSZlPUYwM/wCIpKacuVEt2fKX6KKKsYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BVXUWtY9OnlvcfZokMkh54C854+lWqxdZubi30+eZpI4YgrB2m27QMYA54OTjr/9amouWiC9mrGB 4X8XaNquqtp1tZ3qNcKWVrhVKsFGccfU126yI/3HVuAeDng9DXnej3HiC+tE1U6kJIiSkFtbqvyj ODuG3jA/HpXb6RpNrpFjHb2ok2hAuZDljjPX35NEqEsPL2cpJtdtLeRrWa5nrqX6KKKRkcul7baX b6pHrmozEiZrgs6ttSIthFQ4wcDbwM8mtzTWtZ7KG7syWhnjVkYgjK9R1+v61Le2VtqNo9reQJNA +N0bjIODmpY40ijWONQqIAqqBwAOgqIxaf8AVwaje/UdRRRVgFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABSAhhkEEe1LWbFKbW5nX7NckyOWVVAK9+Qffrik3YaVyyLaR7tpZZmZFIMUanaBx1P qevtWV4o0VtZgtEwHihm3yRs2FYY6n6f1rbidpIlZo2jJ/hbqKq6npy6pbrbSzSJblgZUTH71R/A T/dPfHXpVRnKm+aG41J3KehxWjWaGyRFtUbC7I9iuRwSB3GQTnvWzSKqogRFCqowABgAUtDber3I SSuFFFFIYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAf/2Q==