| Titre : | Effective conservation science. : Data not dogma. |
| Auteurs : | Michelle Marvier, Auteur ; Peter Kareiva, Auteur ; Brian Silliman, Auteur |
| Type de document : | Ouvrage |
| Editeur : | Corby : Oxford University Press, 2017 |
| ISBN/ISSN/EAN : | 978-0-19-880897-8 |
| Langues: | Anglais |
| Index. décimale : | P1 (Conservation - Généralités) |
| Mots-clés : | Conservation nature ; Biodiversité ; Méthodologie ; Gestion milieu ; Milieu menacé |
| Résumé : |
This edited volume assembles some of the most intriguing voices in modern conservation biology. Collectively they highlight many of the most challenging questions being asked in conservation science today, each of which will benefit from new experiments, new data, and new analyses. The book's principal aim is to inspire readers to tackle these uncomfortable issues head-on. A second goal is to be reflective and consider how the field has reacted to challenges, and to what extent these challenges advance conservation science. A concluding chapter will synthesize common themes that emerge from the experiences of the authors in these debates and discuss how best to guard against confirmation bias. The hope is that this book will lead to greater conservation of ecosystems and biodiversity by harnessing the engine of constructive scientific scepticism in service of better results:
Reproductibility, bias, and objectivity in conservation science Challenges to foundational premises in conservation Iconic conservation tales: Sorting truth from fiction Questionning accepted strategies and intervention Conservation bias: What have we learned? |
Exemplaires (1)
| Code-barres | Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|---|
| 15520 | P1/862 | Ouvrage | Bibliothèque | Conservation - généralités | Disponible |
