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Books on the topic 'Scénarios futures'

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Author: Grafiati

Published: 25 May 2024

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1

Valéry, Laramée de Tannenberg, ed. Scénarios d'avenir: Futurs possibles du climat et de la technologie. Paris]: Armand Colin, 2012.

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2

R, Scott Bruce, Baldauff Manuel, and Fondation Alphonse Weicker, eds. Europe 2012, globalisation et cohésion sociale: Les scénarios luxembourgeois. Paris: Economica, 1997.

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3

2052: A global forecast for the next forty years. White River Junction, Vt: Chelsea Green Pub., 2012.

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4

Faust, Lisa J., Claudine André, Raphaël Belais, Fanny Minesi, Zjef Pereboom, Kerri Rodriguez, and Brian Hare. Bonobo population dynamics: Past patterns and future predictions for the Lola ya Bonobo population using demographic modelling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198728511.003.0018.

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Wildlife sanctuaries rescue, rehabilitate, reintroduce and provide life-long care for orphaned and injured animals. Understanding a sanctuary’s population dynamics—patterns in arrival, mortality and projected changes in population size—allows careful planning for future needs. Building on previous work on the population dynamics of chimpanzees (Pan troglodytes) in sanctuaries of the Pan African Sanctuary Alliance (PASA; Faust et al. 2011), this chapter extends analyses to the only PASA bonobo sanctuary. Its authors analysed historic demographic patterns and projected future population dynamics using an individual-based demographic model. The population has been growing at 6.7 per cent per year, driven by arrivals of new individuals (mean = 5.5 arrivals per year). Several model scenarios projecting varying arrival rates, releases and breeding scenarios clarify potential future growth trajectories for the sanctuary. This research illustrates how data on historic dynamics can be modelled to inform future sanctuary capacity and management needs. Les sanctuaires de faune secourent, réhabilitent, réintroduisent, et fournissent des soins pour toute la vie aux animaux orphelins et blessés. Comprendre les dynamiques de la population d’un sanctuaire—les motifs d’arrivée, mortalité, et de changements projetés de la taille de la population—permet une planification prudente pour les nécessités du futur. En se basant sur le travail déjà fait sur les dynamiques de la population chimpanzé (Pan troglodytes) dans les sanctuaires du Pan African Sanctuary Alliance (PASA; Faust et al. 2011), nous étendons notre analyse au seul sanctuaire bonobo par PASA. Nous avons analysé les motifs démographiques historiques et avons projeté les futures dynamiques de la population en utilisant un modèle démographique basé sur l’individu. La population augmente de 6.7 per cent par an, poussée par l’arrivée de nouveaux individus (moyenne = 5.5 arrivées par an). Plusieurs scénarios modèles montrent une trajectoire de potentielle croissance pour le sanctuaire. Cette recherche illustre comment modeler les données sur les dynamiques historiques pour informer la capacité future du sanctuaire et les besoins gestionnaires.

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5

Scripts. Back to the Future - Screenplay - Written by Bob Gale and Robert Zemeckis: Scénario Complet, Full Original Script - 96 Pages. Independently Published, 2022.

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6

Scripts. Back to the Future - Screenplay - Written by Bob Gale and Robert Zemeckis: Scénario Complet, Full Original Script - 96 Pages. Independently Published, 2022.

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7

Tetlock, Philip E., and Dan Gardner. Superforecasting: The Art and Science of Prediction. Broadway Books, 2016.

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Superforecasting: The Art and Science of Prediction. Crown, 2015.

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9

Superforecasting. Random House Books, 2016.

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10

Superforecasting: The Art and Science of Prediction. New York City, New York, USA: Crown, 2015.

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11

Superforecasting: The Art and Science of Prediction. Penguin Random House, 2016.

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12

Superforecasting. Crown, 2015.

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13

Superforecasting. Crown, 2015.

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14

Superforecasting. Audible Studios on Brilliance, 2015.

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15

Superforecasting: The Art and Science of Prediction. Penguin Random House, 2015.

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16

Superforecasting: The Art and Science of Prediction. Penguin Random House, 2015.

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17

Superforecasting - Die Kunst der richtigen Prognose. FISCHER, S., 2016.

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