JEU sauver le bois

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<blockquote>OBJECTIF : SAUVER LE BOIS !</blockquote>\ Le maire a annoncé que les arbres du bois situés près du collège pourraient être coupés pour construire un parking. Le même jour, vous et vos amis entendez à la radio que les populations d’oiseaux s’effondrent. Vous décidez de vous mobiliser pour que le maire annule son projet car selon vous, le bois abrite plus d'espèces d'oiseaux que le reste de la ville. Direction la mairie. <center>***</center> Le maire vous accueille et écoute vos revendications. Il est prêt à revoir son projet, uniquement si vous lui apportez des bonnes preuves. Votre enquête est sur le point de commencer. A chaque fois que vous prendrez une bonne décision, vous gagnerez des points et vos preuves deviendront plus solides. [[Commencez l'aventure.|1_matinee_d_automne][$score =0]] <B>Idée originale et scénario </B> : Mathieu Farina pour la Fondation La Main à la Pâte <img data-passage="lamap" width="300" height=auto> <B>Adaptation numérique et texte </B> : Guillaume Berthelot Cette oeuvre est mise à disposition selon les termes (CC BY-NC-ND 4.0)

<<include menu_haut>>\ Vous voici réunis près du bois, vous et deux compagnons d’aventure : Yanis et Amina. <table> <tr><td><<include img_photographe>></td><td>J'ai pensé à ramener mon appareil pour prendre des photos.</td></tr> <tr><td><<include img_journaliste>></td><td>Super. Moi, j'ai amené mon carnet pour prendre des notes. On peut démarrer notre enquête. On commence par la zone près de la route ?</td></tr> <tr><td><<include img_photographe>></td><td>La route ? Mais ça ne sert à rien. Il faut se rendre uniquement au bois pour trouver des preuves.</td></tr> </table> [[Tu as raison Yanis : étudier la route est inutile. Allons au bois.|codeB][$choix = "bois"]] [[Non. Amina a raison : il faut aussi se rendre près de la route.|codeB][$choix ="route"]] [[Et si on commençait plutôt par la bibliothèque pour faire des recherches ?|15_a_la_bibliotheque]] <<include menu_bas>>

<<include menu_haut>>\<<set $score +=1>><<set $bibliotheque ="oui">>\ Vous et vos deux amis arrivez à la bibliothèque. Vous demandez à la bibliothécaire le rayon des livres sur la nature et vous vous mettez à chercher un livre ... <table> <tr><td><<include img_journaliste>></td><td> Hmm ... //Quand la terre gronde// Non. //Les océans// Non. ... Ah ! voila, j'ai trouvé : //Guide pour identifier les oiseaux//.</td></tr> <tr><td colspan ="2"><center><<include img_guide>></center></td></tr> <tr><td><<include img_photographe>></td><td>Super. Ca va bien nous aider.</td></tr> <tr><td><<include img_journaliste>></td><td> Oh. Je viens de recevoir un sms de Mathieu. C'est un scientifique à qui j'ai demandé de l'aide.</td></tr> <tr><td><<include img_scientifique>></td><td> //De nombreux scientifiques utilisent un guide pour les aider à identifier les oiseaux. Pensez à en prendre un.//</td></tr> <tr><td><<include img_point>></td><td> Vous avez pris une bonne décision. Vous marquez 1 point.</td></tr> <tr><td><<include img_photographe>></td><td> Maintenant qu'on a le guide, on peut se rendre au bois ?</td></tr> <tr><td><<include img_journaliste>></td><td> Moi, je dis qu'il faut aller du côté de la route avant.</td></tr> </table> [[Tu as raison. Allons vers la route.|codeB][$choix = "route"]] [[Non. allons au bois. Etudier la route est inutile.|codeB][$choix ="bois"]] <<include menu_bas>>

<<include menu_haut>>\ Comme vous n'êtes pas sur de votre choix, vous décidez d'appeler Mathieu, un passionné de science, pour obtenir son avis. <div style="padding:5px; background-color:#9ba0ee; border:2px solid #656ab0; -moz-border-radius:9px; -khtml-border-radius:9px; -webkit-border-radius:9px; border-radius:9px;"><tr><td><<include img_scientifique>></td><td>//Il est indispensable de ''comparer'' le nombre d'espèces présent dans le bois avec un ''témoin'' et la zone de la route est parfaite pour ça. Ainsi, vous pourrez conclure si le bois permet d'avoir ''plus, moins'' ou ''autant'' d'espèces d'oiseaux qu'ailleurs.//</td></tr><<if $choix == "route">><tr><td><<include img_point>></td><td>Vous avez fait le bon choix et vous marquez un point.<<set $score +=1>></td></tr><<else>><tr><td><<include img_raté>></td><td>Vous avez fait le mauvais choix. Vous ne marquez pas de points.</td></tr><</if>></div> <tr><td><<include img_journaliste>></td><td>Tu vois Yanis, j'avais raison.</td></tr> <tr><td><<include img_photographe>></td><td>Je comprends mieux maintenant. Allons donc vers la route.</td></tr> [[On y va.|10_au_bord_de_la_route]] <<include menu_bas>>

<<include menu_haut>>\ Après 5 minutes de marche, vous voilà près de la route. De nombreuses voitures passent aujourd’hui, ce n’est pas favorable pour entendre des oiseaux. D’ailleurs, on ne voit rien aux alentours. Soudain, un oiseau vient à passer. <center><<include img_pigeon>></center>\ <table>\ <tr><td><<include img_photographe>></td><td>C'est un pigeon ! Super !</td></tr> <tr><td><<include img_journaliste>></td><td>Bof ! C’est un oiseau commun. Je ne le compte pas. En plus, on veut démontrer que la biodiversité est faible près de la route.</td></tr> </table> [[Je suis d'accord avec toi Amina : les pigeons ça ne compte pas.|codeD][$choix = 0]] [[Même si c'est un oiseau commun, il faut le compter.|codeD][$choix = "pigeon"]] <<include menu_bas>>

<<include menu_haut>>\ <<if $etape == 0>> A peine arrivés près du bois, vous entendez déjà les premiers cris d'oiseaux, juste au-dessus de votre tête, dans des arbres dénudés. <table> <tr><td><<include img_journaliste>></td><td>Vite ! Comptons-les avant qu'ils ne s'envolent !</td></tr> <tr><td><<include img_montre>></td><td>DEFI : Vous avez 10 secondes pour compter les oiseaux.</td></tr> </table>\ [[Commencer l'observation|7_promenons_nous_pres_du_bois][$etape =1]] <<elseif $etape ==1>> <center><<include img_oiseau_7>></center> <<timed 10s>><<goto "7_promenons_nous_pres_du_bois">><<set $etape = 2>><</timed>> <<elseif $etape == 2>> <table> <tr><td><<include img_journaliste>></td><td>Oh ! Ils viennent de s'envoler. J'ai eu beaucoup de mal à les compter. Tu en as compté combien ?</td></tr> </table>\ [[3|codeI][$nb_oiseau = 3]] [[4|codeI][$nb_oiseau = 4]] [[5|codeI][$nb_oiseau = 5]] [[6|codeI][$nb_oiseau = 6]] [[7|codeI][$nb_oiseau = 7]] [[8|codeI][$nb_oiseau = 8]] <</if>> <<include menu_bas>>

<<include menu_haut>> <table> <tr><td><<include img_journaliste>></td><td><<print $nb_oiseau>> ??? Moi, j'en ai compté <<print $nb_oiseau - 1>></td></tr> <tr><td><<include img_photographe>></td><td>J'ai eu le temps de les prendre en photos. J'en compte <<print $nb_oiseau + 1>>.</td></tr> <tr><td><<include img_journaliste>></td><td> Ah ?! Personne n'est d'accord. Appelons Mathieu.</td></tr> <tr><td><<include img_scientifique>></td><td>//Il n'est vraiment pas facile de répérer des oiseaux. Il faut être prudent car nos yeux peuvent nous tromper : on peut manquer des oiseaux, les compter deux fois ou tout simplement croire voir un oiseau alors qu'il ne s'agit que d'une feuille. Pour être plus sûr, il ne faut pas hésiter à s'aider d'outils (comme un appareil photo). Et comparer ce que plusieurs observateurs ont vu. Si je regarde la photo que vous venez de m'envoyer, j'en vois 6.//</td></tr> <tr><td><<include img_journaliste>></td><td> Ok. Je note environ 6 oiseaux.</td></tr> </table>\ [[Continuons.|6_les_oiseaux_s_envolent]] <<include menu_bas>>

<<include menu_haut>>\ <table> <tr><td><<include img_journaliste>></td><td>Il faut se rappeler qu'on mesure la biodiversité, c'est à dire le nombre d'espèces différentes. Ces 6 oiseaux étaient-ils tous de la même espèce ?</td></tr> <tr><td><<include img_photographe>></td><td>Regardons mes photos.</td></tr> <tr><td colspan ="2"><center><<include img_6_trois_oiseaux>></center></td></tr> <<if $bibliotheque == "oui">><tr><td><<include img_journaliste>></td><td>Utilisons le guide récupéré à la bibliothèque.</td></tr> <tr><td colspan ="2"><center><<include img_identifier_oiseau>></center></td></tr><</if>> </table>\ [[Ces 3 oiseaux sont de la même espèce.|codeA][$nb_espece = 1]] [[Je crois qu'il y a deux espèces.|codeA][$nb_espece = 2]] [[Je crois qu'ils sont tous différents.|codeA][$nb_espece = 3]] <<include menu_bas>>

<<include menu_haut>>\ <<if $bibliotheque =="oui">>\ <table>\ <tr><td><<include img_journaliste>></td><td> <<print $nb_espece>> espèces ??? Moi, je ne vois que des mésanges.</td></tr> <tr><td><<include img_photographe>></td><td> Hmm ... tu as raison. Ce sont des mésanges. Mais d'après le guide, je vois sur la photo de droite un sourcil foncé, une joue blanche et une calotte bleue : c’est à coup sûr une //mésange bleue//. Et sur les deux photos de gauche, je vois une calotte noire et une barre sur l'aile blanche, c’est certainement la //mésange charbonnière.//</td></tr> <<if $nb_espece==2>><tr><td><<include img_point>></td><td>Vous marquez un point bonus pour avoir bien déterminé le nombre d'espèces.<<set $score +=1>></td></tr><</if>> <tr><td><<include img_journaliste>></td><td>Je note deux espèces alors : mésange bleue et mésange charbonnière.</td></tr> </table>\ [[Continuons.|11_un_peu_plus_tard_pres_du_bois][$etape=0]] <<else>> <table>\ <tr><td><<include img_photographe>></td><td> Hmm ... c'est trop difficile de faire la différence. On aurait bien besoin d'un coup de main.</td></tr> <tr><td><<include img_journaliste>></td><td>Ah, je viens de voir que Mathieu m'a écrit un sms il y a une heure.</td></tr> <tr><td><<include img_scientifique>></td><td> //Les scientifiques utilisent des ''critères'' pour parvenir à des identifications plus fiables. Vous les trouverez dans des livres qu'on appelle des Guides. Pensez à en prendre un.//</td></tr> <tr><td><<include img_raté>></td><td> Vous auriez du aller à la bibliothèque avant de commencer votre enquête.</td></tr> </table>\ [[On ré-essayera d'identifier les oiseaux à la maison. Continuons.|11_un_peu_plus_tard_pres_du_bois][$etape=0]] <</if>> <<include menu_bas>>

<<include menu_haut>>\ <table>\ <tr><td><<include img_photographe>></td><td> Hé, les amis ... Je vois un autre oiseau.</td></tr> <tr><td><<include img_journaliste>></td><td> ''OÙ ÇA ? OÙ ÇA ?''</td></tr> <tr><td><<include img_photographe>></td><td>Arrête de crier ! Tu as fait fuir les oiseaux. Zut !!! C'est vraiment trop dur de trouver et d'observer les oiseaux : on fait du bruit, on confond les feuilles avec les oiseaux. Je suis même sûr qu'on oublie de compter certains oiseaux ... </td></tr> <tr><td><<include img_journaliste>></td><td> Oui. On doit mal s'y prendre. On devrait demander de l'aide à Mathieu.</td></tr> <tr><td><<include img_scientifique>></td><td>//N'abandonnez pas. Vous faites vraiment de votre mieux. Observer est très dur : parfois on croit voir des choses, on se laisse distraire par des détails qui ne comptent pas ... Pour arriver à des conclusions plus fiables, vous pouvez utiliser un instrument qui vous aidera à faire les observations de manière plus rigoureuse. Dites-moi quel genre d'appareil il vous faut, et je vous aiderai à l'obtenir.//</td></tr> <tr><td><<include img_journaliste>></td><td> Merci beaucoup, Mathieu.</td></tr> </table>\ [[Rentrons chez nous pour réfléchir à cet appareil.|9_voir_sans_etre_vu][$etape =0; $solution =0]] <<include menu_bas>>

<<include menu_haut>> Vous appelez Mathieu pour vérifiez votre choix. <table> <tr><td><<include img_scientifique>></td><td>//Oui il faut compter ''toutes'' les espèces d'oiseaux, même les pigeons ! Et puis attention : on a souvent tendance à tout faire pour valider nos idées mais il est indispensable d'observer avec la même rigueur dans les endroits où vous vous attendez à voir moins d'espèces d'oiseaux comme près de la route que là où vous espérez en voir plus comme près du bois. //</td></tr><<if $choix == "pigeon">><tr><td><<include img_point>></td><td>C'est une bonne décision.<<set $score +=1>></td></tr><<else>><tr><td><<include img_raté>></td><td>C'est une mauvaise décision.</td></tr><</if>>\ <tr><td><<include img_journaliste>></td><td>Ok. Je note le pigeon.</td></tr> <tr><td><<include img_montre>></td><td>...</td></tr> <tr><td><<include img_photographe>></td><td>Ca fait 20 minutes que l'on est là et on ne voit pas d'autres espèces. On peut se rendre au bois je pense.</td></tr> </table>\ [[Allons-y.|7_promenons_nous_pres_du_bois][$etape =0]] <<include menu_bas>>

<<include menu_haut>>\ <<if $etape ==0>>\ <table>\ <tr><td><<include img_photographe>></td><td>Bien. On va faire comme en cours de technologie. On va dresser le ''cahier de charge'' de notre appareil.</td></tr> <tr><td><<include img_journaliste>></td><td>Ok. Pour commencer, il faut un appareil photo qui prend des photos sans qu'on soit présent, pour ne pas perturber l'expérience.</td></tr> <tr><td><<include img_photographe>></td><td>Oui, mais il faut pouvoir étudier les photos sur notre ordinateur ensuite. Tu as une solution à proposer ?</td></tr> </table>\ [[Avoir un appareil avec une prise jack.|9_voir_sans_etre_vu][$etape +=1]] [[Avoir un appareil avec une prise usb.|9_voir_sans_etre_vu][$etape +=1; $solution +=1]] [[Avoir un appareil avec un écran.|9_voir_sans_etre_vu][$etape +=1]] <<elseif $etape ==1>> <table>\ <tr><td><<include img_photographe>></td><td>Ok. Il faut aussi un appareil qui ne fasse pas fuir les oiseaux comme Amina ...</td></tr> <tr><td><<include img_journaliste>></td><td>Oh ça va ! Je n'ai pas fait exprès de crier ...</td></tr> <tr><td><<include img_photographe>></td><td>Ok, ok ! Tu as une solution ?</td></tr> </table>\ [[Avoir un appareil marron et immobile.|9_voir_sans_etre_vu][$etape +=1; $solution +=1]] [[Avoir un appareil rouge et immobile.|9_voir_sans_etre_vu][$etape +=1; ]] [[Avoir un appareil marron et mobile.|9_voir_sans_etre_vu][$etape +=1]] [[Avoir un appareil rouge et mobile.|9_voir_sans_etre_vu][$etape +=1]] <<elseif $etape ==2>> <table>\ <tr><td><<include img_photographe>></td><td>Il faut aussi que l'appareil puisse observer les oiseaux pendant au moins une semaine pour avoir suffisamment de photos ...</td></tr> </table>\ [[Avoir un appareil relié à une prise électrique.|9_voir_sans_etre_vu][$etape +=1]] [[Avoir un appareil avec une batterie 2000 milliampères.|9_voir_sans_etre_vu][$etape +=1]] [[Avoir un appareil avec une batterie de 4000 milliampères.|9_voir_sans_etre_vu][$etape +=1; $solution +=1]] <<elseif $etape ==3>> <table>\ <tr><td><<include img_journaliste>></td><td>N'oublions pas que Mathieu nous a dit qu'il fallait absolument comparer et ne pas se contenter d'une seule zone comme Yanis ... hé hé</td></tr> <tr><td><<include img_journaliste>></td><td>Ok. Du coup, on a besoin de quoi ?</td></tr> </table>\ [[Avoir deux appareils.|codeF][$etape +=1; $solution +=1]] [[Avoir un appareil avec deux objectifs.|codeF][$etape +=1]] [[Avoir un appareil que l'on peut déplacer.|codeF][$etape +=1]] <</if>>

<<include menu_haut>>\ Après envoyé votre cahier des charges à Mathieu, vous attendez sa réponse ... <table>\ <tr><td><<include img_montre>></td><td> ...</td></tr> <tr><td><<include img_journaliste>></td><td> Ah ! Mathieu vient de me répondre...</td></tr> <<if $solution ==4>><tr><td><<include img_scientifique>></td><td>//Excellent travail. Votre cahier des charges est impeccable. J'ai justement ce genre d'appareil en ma possession//</td></tr> <tr><td><<include img_point>></td><td> Vous marquez un point pour avoir conçu un appareil pour observer.<<set $score +=1>></td></tr> <<else>><tr><td><<include img_scientifique>></td><td>//Votre cahier des charges n'est pas parfait. Votre appareil aurait du être marron et immobile pour ne pas faire fuir les oiseaux, avoir une prise usb pour récupérer les photos et avoir une batterie de 4000 mA pour tenir une semaine. Enfin, il faut 2 appareils pour mesurer en même temps les deux zones. Si vous faites des mesures sur deux semaines différentes, il se peut qu'une semaine soit plus favorable que l'autre (par exemple s'il fait soleil) et que l'on ne puisse pas comparer le nombre d'oiseaux ... Quoiqu'il en soit, j'ai un appareil pour vous !//</td></tr> <tr><td><<include img_raté>></td><td> Vous ne marquez pas de point car votre cahier des charges n'était pas complet.<<set $score +=1>></td></tr> <</if>> <tr><td><<include img_journaliste>></td><td> Il m'a envoyé une photo de l'appareil par sms. Regardez ...</td></tr> <tr><td colspan ="2"><<include img_piege_photo>></td></tr> <tr><td><<include img_scientifique>></td><td>//Un piège photographique est installé devant une mangeoire. Quand l’oiseau passe devant le piège pour se poser sur la mangeoire, l’appareil se déclenche et une photo est prise automatiquement.//</td></tr> <tr><td><<include img_photographe>></td><td>C'est génial ! C'est exactement ce dont on a besoin. L'appareil arrive demain par colis.</td></tr> </table>\ [[Bonne nouvelle. Retrouvons-nous demain ici les amis.|14_ou_placer_les_cameras]] <<include menu_bas>>

<<include menu_haut>>\ Le lendemain, après être passé à la Poste récupérer le colis de Mathieu, vous retrouvez Yanis et Amina. Vous leur montrez les pièges photographiques ... <table>\ <tr><td><<include img_journaliste>></td><td>Wah ! C'est génial !</td></tr> <tr><td><<include img_photographe>></td><td> Carrément. Au fait, j'ai réfléchi toute la nuit ... je me suis demandé où il fallait poser les appareils. J'ai trouvé 8 emplacements possibles. A ton avis, où est-ce qu'on installe les appareils ?</td></tr> </table>\ <<include img_14_choix_camera>> [[emplacements 1 et 2|code H][$choix = 0]] [[emplacements 1 et 3|code H][$choix = 0]] [[emplacements 2 et 3|code H][$choix = 0]] [[emplacements 1 et 5|code H][$choix = 0]] [[emplacements 2 et 6|code H][$choix = 1]] [[emplacements 5 et 6|code H][$choix = 0]] [[emplacements 3 et 7|code H][$choix = 1]] [[emplacements 7 et 8|code H][$choix = 0]]

<<include menu_haut>><table>\ <tr><td><<include img_journaliste>></td><td>Tu es sûr ? Moi, j'aurais dit 2 et 7. Attends, je demande confirmation à Mathieu.</td></tr> <tr><td><<include img_scientifique>></td><td>//D'après vos 8 emplacements, il y a seulement deux possibilités : 2 et 6 d'une part, et 3 et 7 d'autre part. Il faut un appareil près du bois et un autre près de la route et tout le reste doit être ''identique'' : même distance à la haie et même hauteur de fixation. On ne doit toujours faire varier qu'un seul ''facteur'' à la fois entre deux mesures. Sinon on ne saura pas si la différence est liée au bois, à la hauteur ou à la haie...//</td></tr> <tr><td><<include img_photographe>></td><td>Merci Mathieu.</td></tr> <<if $choix ==1>><tr><td><<include img_point>></td><td>Vous avez fait le bon choix. Vous marquez un point.<<set $score +=1>> </td></tr><<else>><tr><td><<include img_raté>></td><td>Vous avez fait un mauvais choix. Vous ne marquez pas de point.</td></tr><</if>> </table>\ [[Poursuivre votre enquête|12_la_prediction]] <<include menu_bas>>

<<include menu_haut>>\ <table> <tr><td><<include img_scientifique>></td><td>//Avant d'installer les appareils, faites des ''prédictions''. Réflechissez aux résultats que vous pensez obtenir. C'est le meilleur moyen de ne pas se laisser influencer et d'établir la meilleure conclusion.//</td></tr> <tr><td><<include img_journaliste>></td><td>C'est un bon conseil mais... pas si facile que ça à faire ...</td></tr> <tr><td><<include img_photographe>></td><td>Mais si. Il faut un peu réfléchir ... Si notre hypothèse est valide, c'est-à-dire si le bois permet une plus grande diversité d'oiseaux alors ... </td></tr> </table>\ [[...on devrait compter plus d'oiseaux dans la zone près du bois que dans la zone près de la route.|codeK][$choix =0]] [[...on devrait compter autant d'espèces d'oiseaux près de la route et près du bois.|codeK][$choix =0]] [[...on devrait compter plus d'espèces près de la route que près du bois|codeK][$choix =0]] [[...on devrait compter plus d'espèces près du bois que près de la route.|codeK][$choix =1]] <<include menu_bas>>

<<include menu_haut>>\ <table> <<if $choix ==1>> <tr><td><<include img_photographe>></td><td>Je suis d'accord.</td></tr> <tr><td><<include img_journaliste>></td><td>Moi aussi. Pas la peine d'appeler Mathieu. Je crois qu'on est bon là. On a compris le truc.</td></tr> <tr><td><<include img_point>></td><td>Vous avez fait le bon choix. Vous marquez un point. <<set $score +=1>></td></tr> <<else>>\ <tr><td><<include img_photographe>></td><td>Je ne suis pas d'accord. Amina, appelle Mathieu.</td></tr> <tr><td><<include img_scientifique>></td><td>//La bonne prédiction dans votre cas est : si l’hypothèse est vraie (si le bois a un impact positif sur la biodiversité en oiseaux), alors nous devrions enregistrer un plus grande nombre d’espèces d’oiseaux avec le piège photo près du bois qu'avec celui éloigné du bois (celui près de la route). Si l’hypothèse est fausse, alors nous ne devrions pas observer cela.//</td></tr> <tr><td><<include img_raté>></td><td>Vous avez fait un mauvais choix. Vous ne marquez pas de point.</td></tr> <</if>> </table>\ [[Bien. Il n'y a plus qu'à poser les appareils, attendre une semaine ... et exploiter les photos.|16_le_jeu_de_données]]

<<include menu_haut>>\ Une semaine plus tard... Yanis a récupéré toutes les photos et Amina les a transférées sur son ordinateur. Vous les rejoignez chez Amina après votre séance de sport. <table>\ <tr><td><<include img_photographe>></td><td>Nous avons plein de photos, c'est trop bien... mais un peu inquiétant ! Je sais pas comment on va s'en sortir !</td></tr> <tr><td><<include img_journaliste>></td><td>Du calme Yanis. On va faire ça étape par étape. Commençons par cette première photo ...</td></tr> <tr><td><<include img_photographe>></td><td>Ouais. Il ne nous en restera que 999 à traiter ...</td></tr> <tr><td><<include img_journaliste>></td><td>Yanis, courage ! Prends le guide et commencons.</td></tr> </table>\ <center><<include img_donnée>></center> <table><tr><td><<include img_photographe>></td><td>Je crois que j'ai trouvé. Mais j'aimerais être sur. Regarde le guide et dis moi ce que tu en penses ...</td></tr> </table>\ <<include img_identifier_oiseau>> [[Je pense que c'est une mésange à longue queue|codeC][$choix = "une mésange à longue queue"]] [[Je pense que c'est une mésange bleue|codeC][$choix = "une mésange bleue"]] [[Je pense que c'est une mésange nonnette|codeC][$choix = "une mésange nonette"]] [[Je pense que c'est une mésange charbonnière|codeC][$choix = "une mésange charbonnière"]] [[Je pense que c'est une bergeronnette grise|codeC][$choix = "une bergeronette"]] [[Je pense que c'est un étourneau sansonnet|codeC][$choix = "un etourneau sansonnet"]] [[Je pense que c'est un merle noir|codeC][$choix = "un merle noir"]] [[Je pense que c'est une grive musicienne|codeC][$choix = "une grive musicienne"]] [[Je pense que c'est une mésange mais je ne sais pas laquelle|codeC][$choix = "une mésange"]]

<<include menu_haut>>\ <table><tr><td><<include img_photographe>></td><td><<print $choix>> ? Moi, je pensais à une mésange nonnette. Demandons de l'aide à Mathieu.</td></tr> <tr><td><<include img_scientifique>></td><td>//Il faut toujours s'appuyer sur des critères et ne pas conclure trop vite même si on en a envie ! D'après la photo, on voit une seule barre blanche sur l'aile, il s'agit donc d’une mésange charbonnière ou d’une mésange bleue. Mais le sourcil avec une bande blanche au-dessus puis d’une calotte bleue nous permet d’affirmer qu’il s’agit d’une mésange bleue. C'est difficile au début, mais très vite, on progresse et on repère les critères facilement ! Courage les amis !//</td></tr> <<if $choix == "une mésange">><tr><td><<include img_point>></td><td>Même si vous n'avez pas été précis, c'est une bonne chose d'avoir donné une réponse sûre et qui s'approche de la bonne réponse, plutôt que de donner n'importe quelle réponse. Vous marquez un point.<<set $score +=1>></td></tr><<elseif $choix == "une mésange bleue">><tr><td><<include img_point>></td><td>Vous avez parfaitement identifié l'oiseau. Vous marquez deux points.<<set $score +=2>></td></tr><<else>><tr><td><<include img_raté>></td><td>Vous vous êtes trompé. Vous ne marquez pas de point.</td></tr><</if>> </table>\ [[Ok. Faisons les 999 autres photos ...|18_epilogue]] <<include menu_bas>>

<<include menu_haut>>\ Après deux semaines de travail, vous avez fini par identifier les 1000 photos. <table> <tr><td><<include img_journaliste>></td><td>Mathieu vient de m'envoyer un sms.</td></tr> <tr><td><<include img_scientifique>></td><td>//Bravo pour votre travail impressionnant ! Pour convaincre le maire, vous devez présenter la méthode que vous avez utilisée car elle prouve la fiabilité des résultats. A la manière des scientifiques, vous pouvez faire un poster qui résume : la problématique, l'hypothèse testée, le protocole suivi, les résultats obtenus et votre conclusion.//</td></tr> <tr><td><<include img_journaliste>></td><td>C'est une excellente idée. Lançons-nous dans une affiche.</td></tr> <tr><td><<include img_montre>></td><td>Quelques semaines plus tard ...</td></tr> </table>\ Vous présentez votre affiche au maire. <<if $score >=8>>Votre expérience était rigoureuse. Le maire vous remercie pour votre excellent travail. Il sait maintenant qu'il y a 7 espèces près du bois contre une seule près de la route. Il abandonne son projet de couper les arbres du bois et décide de mener des sorties avec votre aide pour présenter au reste de la population l'importance de cette zone et tous les êtres vivants qui la peuple. BRAVO : TU AS UN EXCELLENT ESPRIT SCIENTIFIQUE ET CRITIQUE. <<elseif $score >=4>>Votre expérience était quasi-rigoureuse. Le maire vous fait remarquer une petite erreur dans votre raisonnement. Mais il décide de laisser son projet en pause le temps que vous corrigiez votre erreur. BON TRAVAIL : TU AS UN BON ESPRIT SCIENTIFIQUE ET IL FAUDRA ETRE UN PEU PLUS RIGOUREUX LA PROCHAINE FOIS. <<else>> Le maire vous fait remarquer que votre expérience n'est pas assez solide. Il est désolé mais il ne souhaite pas tenir compte de vos conseils. Il est peut-être possible de le convaincre encore mais il va falloir aller très vite ! TU FERAS MIEUX LA PROCHAINE FOIS. SOIS PLUS RIGOUREUX ET RECOMMENCE EN UTILISANT TOUT CE QUE TU AS APPRIS. <</if>> <<include menu_bas>>

[[Recommencer l'aventure de zéro|Start][$score =0; $bibliotheque ="non"]]

<blockquote>Niveau de solidité des preuves : <<print $score>> / 9</blockquote>\

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