<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20251018</CreaDate>
<CreaTime>07043900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Le Pôle métropolitain du Genevois francais, la Région de Nyon et l'Etat de Genève se sont associé pour disposer d'une cartographie de l'Infrastructure Écologique (IE) à l'échelle du Grand Genève et de chacun de leur périmètre respectif.&lt;br /&gt;Cette IE, élaborée par GE21, est définie comme un réseau d'aires (semi-)naturelles connectées permettant une priorisation des objectifs de conservation de la nature. Elle apporte des données essentielles dans le cadre de diverses démarches engagées sur le territoire du Grand Genève, notamment:&lt;br /&gt;- Étude environnementale stratégique de la démarche VTT (Vision Transfrontalière&lt;br /&gt;Territoriale)&lt;br /&gt;- AMI Zéro Artificialisation Nette dont le Pôle métropolitain du Genevois francais&lt;br /&gt;est lauréat&lt;br /&gt;- Infrastructure Écologique du Canton de Genève (Stratégies biodiversité suisse et&lt;br /&gt;cantonale) &lt;br /&gt;&lt;br /&gt;Les données de diagnostic de base sont accessible en téléchargement via cette fiche et consultables sur le site https://arcg.is/1vf1KH0.&lt;br /&gt;Les données sont spatialement structurées en hexagones d'environ 540 m2 et contiennent les indicateurs suivants:&lt;br /&gt;- Diagnostic Biodiversité&lt;br /&gt;- Composition&lt;br /&gt;- Services Écosystémiques&lt;br /&gt;- Connectivité&lt;br /&gt;- Structure</idAbs>
<searchKeys>
<keyword>Biologie</keyword>
<keyword>Cadastre</keyword>
<keyword>aménagement</keyword>
<keyword>Environnement</keyword>
</searchKeys>
<idPurp>Agglo - Infrastructure écologique - Diagnostic</idPurp>
<idCredit>© 2025 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Agglo - Infrastructure écologique - Diagnostic</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB
2AAAAdgB+lymcgAAIABJREFUeJztXYl248puJCnJMzfJSd7J/39ltvvGlsgcLNVd3SLZtLVYslBz
PNbGRbJZBtCFwn6apqkLBAKBJ8D+u08gEAgEtiIIKxAIPA2CsAKBwNMgCCsQCDwNgrACgcDTIAgr
EAg8DYKwAoHA0yAIK3Bb1Cq/vutE+jf1dnfADXp+adM5VFsHfjiCsAL3g7NLzVH184HAEoKwAnfF
6HHT6Pd7iqP6irHkXrRhBBhBWIH7oC/JCh1hR3mq77tByckeGz4RamGfS/jMvgKPjyCswG3hfFGT
FdLCUzd1O39cyEWIK0E2Cb4JEIKwAjcFk9McWQknHbsp8ZKQlrymTg+XcGr07g99MN5PQhBW4KZY
Iyt7vEwD5XUScQUCcwjCCtwdICvc3jlZye1en9oeFS2uOAZ+JIKwAhdhHEctmssXaAgrgLivkZV/
6S/dMHRD79WqU9eNfdedpCjfd917bzUt++qb0dZRk0erfQl34TsfP/BzEIQVuAggK0CqUqOTk6R7
kurhNcNgJCUEk1YE5THVL9gj8pwQFYhnbLHOJ4WmgedGEFbgItRkpUQ1jomwhFGElOSrLqTL63aD
J4RCatinR1j9hqJ6EqOmczh7KvCDEIQVuBqUcvpMYvr/lFPCIhoiIupnRKJQNPTDOu3k9M9WFkMJ
8bMRhBW4CCCeTFK9Rk1CICoG9WjrdDqlbZAe6tekZaxusmq77VP/k6bDrhuHDefgsohxGp20JAWN
H+xPRBBW4CKoZmqGHVKCJ8V4J7U5cgMkMVRd1mR1L4vK2ilh78X7VNhHdBaM9SMRhBW4CHPEgFqW
BEm6cjcMBbHxNpLx9WjRQYFeCEwySA2yGoRVH1tTzwivfiqCsALXL7p74V2K7nspqveWJtbAumBH
koRUuwLZQf7QQJZNBFn9ZARhBS6CEJNAoilVs6uequ8mX/07eHegpHtCYPL9NI1KanL7L1daJekD
RKTJL6sq4lf6rrEfvTifX3HqRq2LCf6adubBBbW9f5fXCGH+9vPrcZwZ/67A4yAIK3ARNAJyUz65
3qXmpCorv9A/xpOlhlyU70U4KnUrUbbnNJFrWjkVXGcMqOSX8DEeTdRaRYK9RGPytfMamEd04Wnz
2AjCClwOj05MmmDtNfIlJPbe2cqd/Nv3gxIME9Poq4M1WeUCfU4Jz4IfSTUbRfk/vnKo/1IUZWp6
2RSqfDkKhK6Bx0UQVuBy0DWuK3xOABJy/elGjabgmmCi0ExPH0sF+0RY64duEsxe4jgv6JOFjW43
dd3HZJQlaWwirbnUMPAQCMIKXITjdEr0gygLLTj2C7ZLpIKeP23DQc/Nri0M5ZoVjoPnWhhQo0pf
pd4+NU9rPawircDDIQgrcBEkghJGQaon5LQnSpCiexkFoWUHuqncX5i+08txE/2JgBBKv8lx1I8K
XZdHUzsv8sMtQomrIq2UQgYeBkFYgYtwHGwlz4rWrm6XupXziJGXabAg6pQC+DRYDSmRUL9MWmvA
auIS5PiqtKdjCRlpZcvJaIm0UiE+8DAIwgpciF5tYaCjUrGAR0NCZAcYxPToC/TivNvJdC6LmCWt
T3przeFNmFGJyaQOen5Dr8V2PgL7cgUeF0FYgc2YKpKQ//9j2mv08j5Y87Eo1k+nj+7QD93bbpc2
kkhIrJCRwqH4fuoGIy5ftdNUkXjjX6feLGZ6I0b1ztJU0kjx37qdPn8a8nmpj9ZoKvq/e1dkoYhF
QlU5lqSsFnHZ+cmxTaNlCwD/6A7xG/JACMIKXAWIiCyVMnKhJ41g/B9W65InlsgLPEqr46VjNXFH
X+/9idkJfhmtqElIqnwfvE1EXI+GIKzAZXCWsXRQkFfyLGBCQ/JUOjJ4kzPqSJI4IkJSDZdzhem4
cvFbyE2/ezl9dLJj+xpTwJs0oelYSueExYFtzUCB70AQVuAiCGFomYiyriGtwMnF772FIBW0wbgR
jCjl0SgtkY2mfaKWdx7R1TrZnxAcSEtWI4UkvR1IX+fb2QHsebx2DYjTILmQ17NOLPBYCMIKXISj
E0nyUlfVqNCUpVsi20yDU5PjjBOOExQSStU/CQH6vrdoN5WoyB1Ct1O3UyeuxvbwQT0jq22dQYE7
IwgrcBG4nUVrUaRdOsqzmhoKmZArw+Q6KOgcnHjkcdkfvLFQ66r1UFrPkjoZEWHtVqrfNbJrrCKm
5NIQ/PTYCMIKXAQhFvkl0hqWcMc4dcNgq4UgKnQZdoXnFdTxth84j6J+hUK8EIoA6R6K+eL4II/s
XfyJc7FfaheEynMNBnpbcGdAtBYE9lgIwgpchFQ3ooub1enSvGxEYhSFRmSEQWwZY+RVrh7utTbl
sgYMX/X0j/2vWAqhgk/IKVqJJQuyQFbJikbIOCjrkRCEFViH5Xh6EzImVY/707/VTXRM8gOzQRhV
vSQapw9f5RNofchtaLD9+/vJJursre51gs5KC/mWDkq7odgBSnoHYrOak0Rctn/MMjRYmqgGgvIq
F7Lasa19KPU7ziwjYn8RXz0egrAC6+BeOopA7PvllgZKVpVXlR6KzEPr41gdDHWt9XNgtVb0BT4/
grACnwLSsua8QAdHV7O+62KgB0dQtVe2KTu9zjFc2a8X7ZuaqWontVFg4LkQhBXYBkrjNGWrrF6W
wESVtVWpD6eI4JSoRhpe4fUsn/hVRlfqTJNT0+bpu7vDrA1y4GkQhBVYB6WBQh4gKxS9W60vc6qC
okBefReoRstrVxP1DrKOy+ph7SpTWu0DYcXMwqdGEFagCZAVVOVJoDm0oxWJgljMiW2xeqfDT70Q
LvsTVVRq20E0hwEXUNM7UZk/fLe5VzBSwedHEFZgFVCRM1nJhV/bszQjLPdSr90ejuNJh1L0OmXH
JjYnxfkkvX6lSv6z0DTzzGc08KwIwgpsGuPFtSaQFwtCL9l/v5PIyqIq9n7PavW56Vv9zaZWBx4X
QViBVUjko9/psUK65K03S6PoRb2enEZVomURD/b574dftL37PUyTKeXFKRTTVR1y86ObVN8lOLhB
H8z5RK/VuwZM3OR/9ct+DUFWz4cgrMAq2qPi1yMU9PvhCwNTeSyYHocV8+53Za9bP7/xZE59Vuey
idPJX0scIDZOjg48B4KwAjcFkxVHYEOVctbRDpTo7YTtZKWxNNreVwPdfibwsxCEFVgFRz5fSasG
dlXg7/D+80iK60mcUkqKt/oLvNP50UqAasHcj9amM9TTegI/AUFYgZsCUY94ZCGa0u9VS87i9o2a
volB3ekBdjTeaxh09fMQhBVYxbUK05oGaqO066+cvKDTKvoJEXXpbMBGr6Ao40WMpbIJmZFo8wcn
SSnVTDBo6ychCCtwUxxFtsCFdk//BCoQ9VpVnXqC0PY0RXoWsn/MRaR9W/N0kNVPQxBWYBWX6p1O
p5O10ux2qSCuLqRS2xKy8X7BmsjwvXX8XkaJpYGnvc4+HNS22SOswI9CENZPB1+0lT3M6K0xq2jI
AkAUML0rjzl1b3vooHT0ctHErL2C4ymfixbNRZLgr+u77pdL6mW6DbRXooIXTy6xVE79hemX2dND
er+Bn4MgrBdHq0YlKd0aZDVOMC3tq1GDQl0LxXmhquTSkE7Sj+UtQYHXRRDWi6OVcok/+xaLZAhB
ga3ZGKbb2LnkLx6Syr2EmG4TkoXXRBDWi6KIYFbQIoYPKqoL0F24tcuwfg0GsvbVoFMt0NdjuyLl
ezkEYb0gmKpSc/MCsiP7PEBUhYsonttwLjIKDIDtMZOS1K0wKxDRVeB1EYT1otBWmQ1K9kFW4bbu
z/eZzfLaURYX4aXgjqOlqTd+Q4vs9QDC4K6XQxDWi6PZWrNxP6eqLxDF+BZU20nuDXCugqD0/7pT
jqpCpvDyCMJ6cbQIqzVsAsTSVdEaDb1ZBeYup7aaajuTSxQjdCKyemEEYf1wnVXvKVXSOcFF1F+7
pzHwWOdjy5c30mGJU2htl/xnPNrAU9FGQcmuvX02q/DQ0HH9Pf1R7yrxrXqjlE+3H8fuH7vD/JTW
lY+icDRtCCF+zw0mJLRI13y7bNKP1tii6fqmCMJ6UWxfxcvkpWTllsWzwx0qKYJNu1k/ipDVXiyS
k2G7E6t4WrUM2wMvhyCsH46xmifYeeol97fQAbfJJNdQVqzLqp7PCMSD0E3Z69YJSyIrzBeUGhgG
Toic4RolK4n+Vt9fww4ivOAfC0FYPxiWuk2zOqcsD9g4EJUcQnniMlyn5CH4W+leq9FcS3iTMxKS
GsX5aupO46SRlctRP/+mZ857Dc2BsM1TiCjwngjC+oHgNE6kAgCqSVxVatGVNhHTyHfsbkkPxZIG
a7dprBZ6Kqh1Lx+iCk3XNaig5afFMxIDj48grB+GOg1DhGVpIJNWXxSoW0B8lWkEhe28bFd4sX8i
9kiLAbu8vYhFryES5VXM1tzCr0RgMcjivgjC+qHgIrmKMr2puEu9eIZTaz90QXOxvXhc/6/tjfOo
+TWcvMCOmhXI6jB5XezGMyRalTwkp4HHQBDWD0Ia9ABS8ekMl0iXCm0VqeN5lTAV4SmawZohRnct
4SS1q6pmpXos+NV889CbVsoYGeV9EYT14Dgjm6U/+KiDy8irdLPvfo1Tt/PZgp37XymJiKd612uv
3puKC3Rmlu1q2ClXfHQf3dC5DooK6/If9qhzB3t5rX2BXzBO/r+md9UmvXU7nRMoei3ZdhJV/Djp
EAm1yqI3qauE1jjY/gXl3h5IKYhk//TD6tzE/emY7JtZh6YrlrK/3foZ7Hwq9vtg8xIl8d7P+HUF
roMgrJ8goEJEVURWcOxEwby/69RjnIsMOu0lvdP7Rh06MEKIZTDiu7jwXWnDPoO9E5IQ+fEkMtBO
3VFB8kLCW+pvZ6cUmeRNEIT14Ji9Bvv1IrGuDlKxHZirJ2HYg8YbcF5g+ULjwmtlbGnysu4HYtI8
7mZu+09lgVVEhSJ5Slk9kspyDDx+/iF+hcDROWDn7ZFbkNXNEIT1RODrQGf9dZOmHtyKo6/zKEyj
jmHQi7jnC1tJKkdeWFfM63/2z+YCNnoJfassUM37EPxyWQOINKVnTg4gmNpWZusKIUdWTFY5/VvP
oj9G85wX+cWwy2dw9HabjtLpOcCvS89ZBbC9rkwqIQZxXR1BWE9WxOK/6LLCBsLQPj+PrKC/wiqh
bjeZ0R4DjyXCShEWEVaDNw4+Fh6CVDvHfKWCEAekgl5nS5EPLng9ZyOtwkamcfwlssJ54xdc3g3X
sJJBoHwGeh5lL6XV+uTzbRCWf4aQYShZBVHdDEFYT0Zaqgan5E4umK6OrJwQTHzZp4vPHrLHlJJc
oJl9rDByazybZLMETMKp5REgrSNtPzey64+/zqISer8bwTqpmqyK9iNdBMjd4eDuw+6g06Vluo98
pRqWTPnphqaH/HsvUa5Fmjq8lY8TuDqCsJ4IOd3KhDCKiEkg3use7RghQX9lj4n3Olu4TBShQapQ
yCF8P62UUKD79WPn8ysdQyXlSu3R2KWmrGUQVUQnn9BjzJEVzs3IOM/D4KE6J/qMhOh1208s7jm1
+34lugqyuiWCsJ4IcmmwMl0JB1ehR1Z+88w5YW5f5fPnq4jbuqOXSUVJUaI1lTUYMaQEi3RW15Jc
1WS1BcfJZA37Ya8zDe3UJLUe9bl9v36JoBYoiFTw9gjC+mYwmSyOyfLHpcAuo9slDTLvqaGb9rwK
eL5PXYnrd93Uj+aZLtonGTYq1NHv1M9pGA6qO3r3QQ9y8cI94U93UvdQeST1B0px2etN/6N7OCct
kM9uOHT7ybRXwgcSEL6LbkvmDA5j9591jagIt7ru3XVNqmlyyNzCP5LGebO0aKgkgbMvx8lSXqmZ
6+h6P6kUdcrneDp1B5E1VPwmZJ/21OC+f/SHRFSw0wnf+dshCOsZQKnWpzGdlFxkJ/rd7Vu8qNPM
uWzbZaDovwRNA2e0Y5KIbomoli5+pLLdzvwisuzTSVX7ErOIdg6tBYXA4yEI60GwpAHiHkC7P/84
X5RcLB9GkzRA2c5unhJBHfZvZ8dPC3QSRaVoKose+HUSPa0hiVk9ulJlvBbbptZQaTt/kFYqRtH7
VOLKFstMTjbvkIZZSKVJCKz/HFm1pFmxIHhfBGF9M7aIFW21qy+kC1jpW4qQsN+drtf7SqC7eWoq
Jc3G1PrColHeh2zP0cv0STeEYqHA1QqSlspW+w2FqyLCghspju2fiUDSZCFXU9FnEayvRdiCRNKW
zY8lm0MQ0mMhCOvBkd0W8v28GtguVMuYLuiKtNFYbsu2UsfaEOJAX5QJy4gSw053rSvaU1BEP1rj
USLcWKR2TgbhJqEpzq9S56doCu8/CVutkJX0aRsObds1317gjgjCelAgpdPIwYtAEIVaeuOK9aqh
F0gE4xeopGPoLZSL3Co/otHK/lVzo+cl5ZPIZVq40Les4mMVkFcmpd16cyeMH1/V8pAkTPY+0kKD
Dr+w6GlXEQ2LaU2DZanhVr5cQxDWfRGE9YCoZQicvuCisws3p4TczMwXkeigFIOosHdFG4xQ0h9X
anNdnE34IAzlKI+P3LYYNlIxvZLV3fLxt3wYZXM3tGOsKJe3jXPDecIe2n0oLLKq+gy3oCWR+Gb3
m5dDENYTgdPCrdfcu64S2pI/yCeRBUSnK1Dltl+VKnWARIDOpQW0+iCN1P2CWT5FHtW59X13PHrL
kU/YATmK/ksHu+6GTPJfiIhaSv8Ise6LIKxbg1Td+k1r4DmVOVLtN6dxiJoo1dO+trwqhh2cPt5T
K4mp10dN67AK9ld/SP5ORaOxrBoOvT6GFUe9riWt6rvuOJ50m1+VTsmio5xC/vN01GPruVBrC+7/
3lmM8wZBvpKgv+ktZOdvV454cOW9/BMdluCwN+8uORYmT8t7+yWtNX4est002OdjH6W3JUmE2eXm
Z15YQDtTa66iRYwkHg0GuymCsO6IbC98Pfx6+5Vuj2w8J/2EZFQn/k5zF1XuLTw/N15tY48tLj7J
TMEkLfAcje8XLTJo+VHh6jaw+R7IFe9VMZgSTIwAJyco5kGRb9TvRSPNqlhfDyQDia23Ps90DFAT
deD6CMK6M1B7Yi9xcECRan2B1XLkAG/0XTKlq4vySad15qjphflhSEV638EsaUkEkrziPRrh+9Lc
DH3q4EMfuO9QVOxb3lc+jbIhG2liXRPDymQLVqA/bxBXu5kNq4Qp1yRStvWQIK1bIAjrTtBVKTTo
kiBxXPjlxmtbkUhtGyPpkMCaYay9JkVaFC3hS1tXcMzKFoZXD2dJCzUuWrnzl6X70H5pyYqEnFbI
b1/UOA/7TDBYgwjLIyhJZev3xw4RhaiUiR2fF5v7cfTl+1+CbJ4+k/Q5lvsJXA9BWLcGpYEgK0FK
bVyywIPek6ZIopJGmHA8Hq2XbrfLq30qfThZ3ecgFZz5CwdpUFVmOyeqTwypWHrumkgDLiRa80iQ
SUpfQwS2CpeNFMRIP685SxyGKNsC90MQ1h3A7SLJITOlRectMZ9BIiuyn5OoAz5Z+/3bvKc7jkam
DHN9gxw1zDVqW/RU1pX4vjUSe4qYCu9Mz+s4+WAM2x8ZEvp3pRNdKCj3N2ysYZ1Oo4to87YaDUp0
6FOoW6jlJEx+gesiCOvGKHrbZi44CDeZVOopL2sAWZ3VpjwyQBGen+MUURqEbdWwpJA6vTmLXvz2
iTbi27iPGpWmh7LS6WRxLUcDKCPwhXPeqmbX1dIZEak8Js9Jd8Aadrq4gQNDvxZkdSsEYX0DtP8t
XSGX/3KD4FCb0ajLRaI6lcajrnREGmv1cbRl/dn96mmWl3I91ZnN7kDCfD8RlknMLboqBFnr7w3E
m98rnYuc/8cHRZn5NZA5/DocVmtYBxC7E2r6fKwFM4vQFoDPAg6tQVa3RRDWhRC9Ul3ULmQDfpVg
WIQUhwduMZGUxKMOFKjlwsEQhJ7U6XP7/8NicOiJ/Oq0dhRqtWFHBh8IMe133ft46g6nvvvlQxj+
nEb1qxIpxODaqvT+0BKUHstz/w69kUaK+fq9+llpdOUtQWcraBCvVmK0HJmWdaV07n7+f+0P5HWf
Pe8neS/+fkxXVa2gKmGToaD7a6mans4hOaZ2uVVJfclwonkZtfWrErgCgrAuRE1WglrvlCfF5H44
9La9aUrC1Q+XAAgRaEH4/C88p4zTSgRg+20nRig68+oWajpz749vy2WeV/6sXcasgrHz5uHphPH+
8F0WKc6JoCDfhbeHd46v+vxLCcn8TlS/RsdXIt4w+ixwOwRhXYglfZPeroZsYvUPXk24kDKxZZID
cRX1KY++uCY1iotmFXlxsLKh+8b2Rf143G4zt9o2F0FqQR0cstG6ZfY8/DtsY5DKlhHmeRrKn7NE
Q0lKQT2WWFQoUkOPbJmErNnbt+GfR/QOfjuCsBpYut5TlFNHURVpneoIY+YPdLFtpYdiD/diriBN
vLGHysL9VrpAKgmfKOyrKGJXU6IL1wUMSqUx9ngv9a3lk7CNmayWXCjqvdZ7h9gTRCMTgPTxSqqB
FJHTP9aOoTlc3iuirERejegucDsEYX0BfMFyN39q8GBnAI5Gqu9pO3+t/cX3x/y7NPGm7Yu0xpmw
sYrVAi7M5ATq93lAqx1m3FQU13P/xPHdX/CMrNI0ZUp5OTLK2+fPBK/kM2p9OvgDwb0HLLuQmlU9
5DUhylZ3RxBWA2Ojd2zJraAci27QIRD1oE1Ko9DWYcex17JSHfvNUZSr0SklRGZGGdoqoFSX16I5
Wgdc4CQaglBtZCZR7Nkg0w0mgXPSD9VAiQlD9Zr6HLIeyyLEmrSggC9qVvTzQQSrn5kr8dHmw3MM
9TWhrfp2BGF9AuejsfLk34RUP8rL+YmoeAWNCIYXnNLyOOYL7mQVDsfH/zkSQgTC5ESTv5pQu2IX
R5YTm70AtvMLfqkwnSv16cBpPuEmxsSxUd+jydVEfOUmJPxErYo87tUHHp8BkRWbE+rrxJ4GMVbV
VZBbjpbfxNY/CoHrIQirgfovs32noaNU1T4rfvs0YK3vuEPm3GRgve9RTl9YuMC3ndJNisY6NCkv
nbvWntbfX0l0abmPvuW6Ta3JEoAwTbKBVp9MrV8B/Ku2FN1xnKW3mYrzVesOalplG3rXGLkWDPXd
CMJqgO1FrM6D2649wiTQYpWOC9RGKGr94hNo7HEjCPF1kkc0DYFPu15YJl56k+5k33sCXbE8qr6G
7q/BWEef1SfH/2vYWxSixeheI6+jD6HndJYHT/ztcwN3mKCjUoyu+xAPeWVnmX/oBe7RUjfZfudE
N55Mx6bnIDMRkUL6e5T94JNkCwvc2s80d1urjgtLff/8fJEiehoOyQL+YHDguPj5rn6ygVsgCOub
sRgZUARwCdrtPZdfdml6z8IKKEiA60LJhtnFnfZac5+4WAdH7U4wEyy2+eT7CzwOgrCuhLkLZtN2
lcgUg0eRJi6tztGBL7T4vezyTSmXHc3O2aMxpSKXXxQRDOpJLnyt017Wme1ThNmtrlLW7zO7j+bt
Q4Xw/Hh5wmoNGVjqDatFmjVYM7UGFHrLuj2t+j34ypRZHhvZ5CYe1kHlCItHbiElHrWx0JAkIXhg
w3tHnY8XBurv3Vwd8kbWN4Hb4uUJaytqc7tr/b1OrR/s387zGVpF88ZpzOmkGKcL3wYfn0dwCaRO
pQaDFe2jpmfzEs8XLYp2pAvPrxaY1r5ZkR8+F16esFpjqpbskOoIa0mr1AoSMOSAJyRnY72ssl7G
90YKUJYXE5k9mkq9d0gD6X0VU6B59a/SmZXNTeeYs+JBtKU6toikfhRenrCuhbmUZAu4V61ow/Hb
phNaRssT/dZFdxVaeh8iDPs60ptJlKWpn6/GYfK0bdxr83d5NmUsxmnmHFj2MBdZcgQ5V6D/bJE/
8L14ecL6zFDNmyAvsOlFrrYyZzNc1vDNRXdxTiVd2ux7c1FpsrShSAryBj7fgvjZCnTuEFgR5EGy
hR7ufMDsd//IA1/HyxNWKg6zQwCRBSYnwzZFiuSyDS6zf2r7iE1Ygd+T6I+OYiDXTd2/qk7LCs92
MXaF7uijEoTqsUSP5JUf0TbZuVlfIVIpEO3fiGT8nHZyfn6dyzn/PazrqN5H895CH6MQiBx7ONk5
/5bxYEJK6hPvKZ2o3/3CH3pTmMv+D8T+qRuwatCW/cu63VHc0MdT98ef59eYvU0e+lp/PvwdOjW2
7pF942dqn6Xp6QbXicnPR/RdRz93kCc0YnOtU4HHwMsT1lKnf/Ynz20cer+yfJGLTi8Nd/C0i6zv
9rt9cwVyC8RNQAmjapuRY5zryc0qpW6gXkPhzNCfP872NKUg1j+rRgTUgn6uVa8fK9lbNapLdWKB
50IQlgNJg6iCmLS4AIzX1YNITYTtlxZcNVN96rJL5EP3makpWZ2oi0DX/XGlt173STBpEdlWIKLB
+wXxKmE5Y+lgViJBRKOt47QGkXYX1qjmZAryGaHHsKkTCzwVXp6wQAD4Ba9Jq+gf9OfZd0r9oBDR
+MAHTttkyNYl4MnJIEdbgUNE6K1B3tfzGaICUhQJbb2PcZdd6ucC9wa4OkBDJQTZiLBaq5yFVQwR
bh1JLdWo2H6H/az4uGs6MV7oCDw+Xp6wEAPxX2WQFtewuNZlbX5QfN7373RtridTW+pJx6xvamVs
MALE5wCyOnsdkZX1RbqrQrOovz3GOvOc58nTS+fPaSx+JAunNKcTO01fofjAd+HlCavji78iLQb/
pWeR58dknuaSUmGEVdqG/v8q5iIUpHwgEDyWitRyftO2OpYRFI0YgwTBI0fu9ROJBUhNa2Wk1F9E
4/ipNli9P7WFUcJa7xVEhCSfU+FnRVOg13RigedCEFYVUJSkVQpEc58fXRBSQ6KVplT7qVYbvwqb
CZMjqGRjXK1somaG1UpEhH8aSaLUiIY0XcajpnHqJq0R5cgrOYHyxJ++vzjlxbl/tVdwcrcJOT8Q
UGENeXSSAAASHElEQVSS2NCJBZ4LQViVFqqmmLrYDjkCoDPxXNZgS/B2YUDW8Gt32UdscwW7MzU8
br9LhJfsUYZU39o4MCenXhSRZJmBrxTi+OSKitfXOqoaLdJmUz1OSzEAdr/fN3oF+8t0YoGnQhBW
f36X1ePzl2P+TVedladhmop1Xfer77vfTlSyilfuvVja0kGeZ/1uvjInKuw/w64QPjKByQX7jz7/
CE0nNam2C5N5/qcbu7du6H53Q7d3ibk8/89+1JmB/344FG6oo5z3zlIyWaGUxEuOuaOhowzEb8fT
0SY773Zk6ucRTZpAg/c5dbvR9GupxA7iQrSoxbd+VonOxXcpuiM1xfQbS3INf3ZCdL7dZHox0WuN
Xrv6l/3MJRCh18MiCOtCvMPXiSvhFCmII+gaWjqjVhBQuJB6zYq95g/dXolIeiJRgNf73c7MBxuQ
CcprEL1ZGl4xo4vS5ueZUWhrtsufQT3Ci9N1Pb6fP9wiJCIeriS5CNwfQVgXQj3dvcUkix1NlS4X
5K/GKtlneuHmwOkRIgseZoG58CJ/gAjUAi1UxYaL3B7SYThlo1oRhmjcaoDDmU6uEvbCwRSEJZ0A
qEMGng9BWBe6OUAoaoV6SB+yiLQ5ZmpDL9wWsEOpbe+rZ56mqtTBTwaF6i0Rxtzk6bVzqH3hmbBq
4romifGIMibMvY+k1/eCzNPTRjuHq51C4A4IwmqgJQuQOowWwcXDXNt0LCqRC10L1g3H0Euvl7Je
lPeHy9TqRE5Ou/xDTxN7GoQstaktEVhdtOfHbgnUuHh6tn1lnRze4YkWRtLTQVhPhSCsBlp1FqkL
pSIvFY4x2056DFfhedqSzmgrkjNBkZhyobt+fZZfrL6/xvmrLEKimAV7HTw3R16f6QfsPhGp8irm
36djbqaGVm6DoDbwmAjCamBuLt6cTkrV8e4coDUtf7Spq2zojFpK+qXBrqkYj15AkhjkJGmLsLPl
WHrKAyXIeSEVw52winO+oqneuflfWXiXTgV1YpCJPcNg90inFoX350IQ1oWA0lsvAL4w/fFjixBa
nuSblOr5NivRBQdq3ck9gznyklXONSDNbR0ftSM+d4tsZghvy3CNjZgT9jIhD7sd9XeaMr73lQzR
aP3e5z85gcdHEBYBEQgK7TYN2BwzBezTpM+LzqdvKMn/fKj4Ecv/x2PWK+2GXXIUtYGrcOmkwvQa
Y8nkYiqypdUvGvH+jpRIl/PzosCHCzPxPpBGIXVK77Ely6hWBvE+hZDk67934jllJHLwL9W5yeqp
aKJQnBdPLiIxRGzZQnpKflcsoMV5Zges0qX137qdDniV/aefY6ox9qpFy72FIPTIFx8VQVgNyC/x
WGmGcIHrBdYoUQlZYTaepiYiFJVhoxvlApeCW1uKQRqUwl2Csney3BeMCEFY8k9bZGAk2ucIDqT6
mXPa6vmeV07zeV067zHwPQjC2gC1caGJzQK0jrSaf3mowq0KzmuQSAIRTxEpuuGgjpdnLRdHTFtn
K1ayDC6Ai8o+nUt3niZLxKntTaSQB6EUejJ+T768oGCHwRnIGLEsLs0rqkui1sBjIwhrA1AXKp1H
c+1kfWP/C+9tJtwnNw3yhR2UO+o3+zWtn0AdVdXPYWBrXQvbinp1s37ujcSq1oCcU2/5XzoBEtH5
+XAtjNM/3ae34KA1+7RxkCxSQAA/iyCs50IQVgOqB69WvmxZ3Iac9q2pK0hxeGGOIhE8wWJHvrAu
TVzyBORh9nGpo4G08jnl25de0ImPpQmZdgW7FxS9UcPiFUffLKd12CdNOmw1Xx/D7+pHIQirAXYv
KOog/p0L5LPbVxIC1LMAGAQuRUqtWkvLJKUk2kyOeI5fNxdZNXVoXpPj17Jiv2wHKs+7lhTU56DN
zWSfU/hd0Z7WIBFYXbP6TLobeCwEYTVgXufnMHX7tDhoNb+umghTRE/t+Km1+L+7tOi+cA5lFLgO
JSZa4eNFBZUTUCuMnlPRwlSKTOs/DLmiVq5v5NXBaVMNr1DFU00riu/PhSCsBjj9E3CDsV6k5Mi5
5HZwVuye6bn7tqI7ESrAEVKLsLCP2QirM4savEfWf2Hrj493k1y41CA78OQ5hmsfUfP8IIsgWQM+
Fz73wHMgCMv/+h999SrpkXS+n62iCXIphg3uZL6dRQV8sWoh2V+PuXmFzgtumX3X/eqGpC9Ceqgz
CX1+4G9tgLMLeXLDPvky0dXQ/fYDncbc1Jx65yTSwRSc3vRIGCohtn89+gpnJiIDYkMjqFUYqZHa
P48z2YDX7Q4NQpkOZnJjok7TRCXHVJ8pyKSKlT4dNztN3Z+TrfSxop4XNg67JWGvR3c0Fo2T861/
R9JiQP1A+jA27iiwCUFYDXAakf5pxJV/VdmBNGm0/AKbS9k4cuGBCf2cW6b6mltxHhcULj6Qk5CH
XqCq87JXy3ZifbMXolp4b1tiCxk2qilfQdpGjiqA7S4DzBJ5JVaFu331/MICgOjcBPyM/qxQK2ws
ith0pIU5hp8kLoh2I2i7HYKwGoA9igLtH/RrLNESm8IlEkHURaFJQVRUP5KIQtTZvF8t5k9d96HT
iS1S6pJiXKK6SlJALTj6feHCqSUEzfevLzl/LaKTSwlL7G8sehSJQl49xGcjhFWKdsuBGfgILgls
QFpybJtHKfe3fT5YFHAFWQRUN0YQVgOFl1O9yka1IWlhQduOplqwXfH9FPUdLsLrKPrJJ+/4Mf0i
Vp3RkI6UortEgZAKDOUMRcxU7GTMfPVe+NLeUr/BK75a62muxnlIaj2AWaelpJ9sn7MbBj5j/YOA
XRQ+9PXPbB0Wl8r3/oy05KitfgREfiA5XRzwPzaB6yMIqwEUpxlcx+JVOEll6n5DgCOqupitF4g3
5+J5RFRGcPm4KSVNUovyODrkdOZ95CCxJN1Hh5KVTmvOltH6+WPMmLxoZnFgC1kVx/CkjklrC0B4
mr77HxOrg37+vQbaCMJqgMWcWIbnv+gHXyXUwjmKvanZ+Hxfs/7nKbpC2pdZR9M/+TdmQaWmTX4R
SwELj0s0IimqpaL22H6SYjSfA0VNPkR1DSxBmPtcWqHEJtpw8uEaHcsYWimhEka1KrDt7PLoL4uy
StKyYzS21wZ5j6wSadl+grOujyCsBmYvVEQr1Vj12iIG/Ydn289cRvx44UmuKWOZGkkUpeTUjfo8
n0dHEUK+sL/uY26rdFZjKvVk11kAg1tDWm3EQoV/dvq+U5CJ9+VpI1Z1F85lawyJ6Kqn5Htra7pG
1jzI1YkX042CtK6LIKwGREdV17GQlgnePz6SjkgL5Weix20oVrnq53ySM7JDi0YmLdS/qeTBXTTl
olHxpS3/6/2F1bVU82lEWLtCxpAr3AhoLh30Lu8Bsgb9W+CyhrVeSv4jIhHlnO0PFj1awl7eJ2yj
QTp6Xq0SnEe+HGmFiv52CMLyv4oHujizH9bUHXc2JotFjycqCB9c6INkzyKE+d9yPMpzD/nm0uNC
KuLLpWnKeNILWuQKv4d99y7L9lXeosd3nZHIHEZPcAofKZUr+CrdCsBnS/rY/+2OSTclpCHvQd8H
mLVxwdfSTSEI87PK0WZq0C5070YM/5R5QCBn9cwyoa79Adl13fGj/INTEfQv0WesQKbuYHFlzpAQ
sxoLSUOx0rH+/gOfQxBWA/kiyX2B9YXzXdjSE8dmdgISWVylyqL2Or6brzh8sQ5tDnMRDtcCJSUW
ooTljFCXrbrK47l3s3aVqFX5q+fA9jtC9PR7wMMvQod1ewRhNdB7mI+oRSAXgumm2inVtZFWyjyd
K6KyGaijpt9OqneMtr8C6UI0i30X0eWGlLO5/8V4zNJdtNjgKPpuSdLAbUL1ggmcX7cg2d14pJVW
aX370GHdB0FYDSSJAQk1NdXaMJX52qjlEKzIXoKkrSAnuByklO0K9RZNBeeK+hsV3y23C9BtPXew
ln/w/tjNJ5kJzq3OboCKWL2XFIsCnPlJ3Sp0WPdDEFYDMtdPLnQp3qYaV7ocUJ69PUq1PQlRG6Sw
m4uAshr04hqLpGR6nJkUE6tmlyB/0kQ6tGIpPxcu4enbpcfEu76uX9UrumvAEdM8NxzAWSt0WPdF
EFYDKLbXq3hL8/6ujXMfrhy6aErUsAje+TIZoizfydXW3JGSnpHVRtfSlkCzFpXkAak9RUCZoNLP
BbY2s4LS80lF6+cw42jhpCURbOiw7ocgrAZSxYTKMWiduVdKuOb8KauAa3ibIxP5LwdsF8E+CxJE
XTnCOjteta6I1U/4s3MRXPVoNJmaU/qthCqEJKusef8spg0d1r0RhNUAHJnYhE5v+zL7rUvuqzoq
OX5jaU5Wy4o6uH9Hg3GraN9EPYvxzsv4qd+QJHBI1Efo1AifLbpDJpFkDaJz8zycrXVCh3UfvDxh
pd407wVM3kjefLz3hlvJNfTiGO0XWHyiJM3SChZWD+kv/7XEg+zFXui4yGdrFf38XajHLsbCLj7T
y7e6+xlNU0G6p6Ol7Ol4RiBaq+uHYjJObQ1kZLPO+IOTluq6/DPHaDK5fxBPfK/Ax1zD2+PlCUuQ
lOuU5qViL10xqHuEkvlxIINbBcWkncpdFaglHFvSQiOhXAc05PvfrcV7NQRhOVTNzBEWrRIu+bLH
L+tzYI2YWqR1oJ83CIvvfwRh3RUvT1hMRlqrwO2qmD3XmrGlFy9wWxxPx7OiOlsCwTF2ybe+FWRx
kZ0FuHw/cD+8PGFxI7OWhvyDuY+6KnBrLE3GSfKGYJ2nwssTFsOsRbACVNYrklEfDzz9BrV74HM1
LHm+nm5dj1tbA+QRup0/Vt8P3A8vT1jcX3a2SqiE5Bpxb+9IcgISIAYeG6tjzqb2EA5Y3OBnXd8P
3A8vT1i8Qmj6HUgUUOMol8Ux325r02zge2tYdcMzgDFkbUfRTFhYQ+b7X3GoCHwdQVj0YUi8JDSk
3uwuRrRl7VyU1+ZauaNjtbrufbDXvGkTMC+hm6PDIRKHyzCTd+UJQjklXMI7jAF3ZRMQ9HfSKSAm
jXV6CePG392uG0XPpRN97Kv3UWry891T7VP2kkUQi6cfuAAvT1gtFLWOmd8+Sxod1arh1kEGgduh
1Rw+9yPiSEzjNycrAGaBVueMtPCeCML6CnnRLzkPShALkh4DIL5oaBe4L3igxVKEZlFTjursez9r
kBi4LYKwGpjzFGeUMghv4/H+soivvh8tv63CnrlaAcaEIiyvcCoqHmBm5Bi4J4KwGjg1Rp3vXEhq
kgi7lVLBb2gGDlzRyqcaPBv4fgRhNSDL4YLzX+QutWekUVS6EmVF2WbtJHAXtOqIWijn8WxnHvgY
aZb3gwFCIS6+P4KwGkCLjtk+lWJS3Eoj1kkpnze6+s8scCMkO2XotTpZ/TWM1XfMiYw65X0RhNXA
udvn/ExfCErnhqcGHh9LRXe5QNTUlSIqHeIKWcRdzzIQhEVIRVUiHZk6c47SpEm2+yUz8Bi1ICfw
kFAvrWHo9jqAVj2V9XbnP7533KDX5zTTx4u5mFgL8ypaDdwKQVg30PEEAoHbIAgrEAg8DYKwLtTx
BAKB+yEIKxAIPA2CsBqIEmog8DgIwgoEAk+DIKxAIPA0CMIKvDT+j3pF2agREPs+MVneydxB9zs7
iamfNj5P3cEfMxNIm1PJSpiwebwugrACgY2YG1jBSvfzxq3AtRGEFXhpcFfDXNtVGhem//uQC2zL
E5cWtg9cF0FYgZfHGslo647neNykJY9JX7x8j0ng90MQVuClIfWpte4r2CF3MwNK5iKswG0RhBV4
adQ96rVpg3Q6SIFdjBzZfVaMG3V0ffSa3hVBWIGXRj1Jxx2ui+cxEScV3SUdjOL6tyAIKxBYw5oJ
Y7jK3h1BWIGXxgdNce4pDcxTcYyXhn7oDhhRL2miO8zGBXRfxOcdeGmgoA6yOncQNVM/uznNCK6i
6H5PBGEFAvBnF25yCpJ6lQ73wnCKatR98n6PVcK7Iggr8OJwqQKCJ2csFNWZmKa6hSfI6u4Iwgq8
NFSagBrWVKaFqbPQiWnyF4Sa/fsQhBV4aeRJSPafFNxVvc6PV68NfB+CsAIvDawGTikNlIhqXtKQ
5hVGKvhtCMIKBEBUzE+kseLCOyOI6/4Iwgq8NBb9qiiyiiL74yAIKxAIPA2CsAKBwNMgCCsQCDwN
grACgcDTIAgrEAg8DYKwAoHA0yAIKxAIdM+C/wcB3nM4PJfLPQAAAABJRU5ErkJggg==</Data>
</Thumbnail>
</Binary>
</metadata>
