Buch, Englisch, 206 Seiten, Format (B × H): 194 mm x 252 mm, Gewicht: 609 g
Buch, Englisch, 206 Seiten, Format (B × H): 194 mm x 252 mm, Gewicht: 609 g
ISBN: 978-0-19-880897-8
Verlag: ACADEMIC
This novel text 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 to orthodoxy, and to what extent have or can these challenges advance conservation science. Furthermore, several chapters discuss how to guard against confirmation bias. The overall goal 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.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
- Reproducibility, bias, and objectivity in conservation science
- 1: Peter Kareiva and Michelle Marvier: Uncomfortable questions and inconvenient data in conservation science
- 2: Moana McClellan and Ian Davies: The thin ice of simplicity in environmental and conservation assessments
- Challenges to foundational premises in conservation
- 3: Linus Blomqvist and R. David Simpson: The value of ecosystem services: What is the evidence?
- 4: Mark Vellend: Are local losses of biodiversity causing degraded ecosystem function?
- 5: Lenore Fahrig: Forty years of bias in habitat fragmentation research
- 6: Martin A. Schlaepfer: Introduced species are not always the enemy of conservation
- 7: Richard J. Hobbs: Novel ecosystems: Can't we just pretend they're not there?
- 8: Barry W. Brook, Erle C. Ellis, and Jessie C. Buettel: What is the evidence for planetary tipping points?
- 9: Paul R. Armsworth, Eric R. Larson, and Alison G. Boyer: Adaptability: As important in conservation organizations as it is in species
- 10: Emma Fuller: Food webs with humans: In name only?
- Iconic conservation tales: Sorting truth from fiction
- 11: Jonathan R. B. Fisher: Global agricultural expansion - The sky isn't falling (yet)
- 12: Emma Marris: A good story: Media bias in trophic cascade research in Yellowstone National Park
- 13: David K. Skelly: From Silent Spring to the Frog of War: the forgotten role of natural history in conservation science
- 14: Erik Meijaard: How a mistaken ecological narrative could be undermining orangutan conservation
- 15: Peter Kareiva and Valerie Carranza: Fealty to symbolism is no way to save salmon
- 16: Michelle Marvier: Genetically-modified crops: Frankenfood or environmental boon?
- 17: Kristin N. Marshall and Phillip S. Levin: When "sustainable" fishing isn't
- 18: Yuta J. Masuda and Tim Scharks: Science communication is receiving a lot of attention, but we are not getting much better at it
- Questioning accepted strategies and interventions
- 19: Ray Hilborn: Overfishing: can we provide food from the sea and protect biodiversity?
- 20: James A. Estes and M. Tim Tinker: Rehabilitating sea otters: feeling good versus being effective
- 21: Joshua J. Lawler and Julia Michalak: Planning for climate change without climate projections?
- 22: Martine Maron: Is 'no net loss of biodiversity' a good idea?
- 23: Richard A. Fuller and James E. M. Watson: Replacing underperforming nature reserves
- 24: Joseph M. Kiesecker, Kei Sochi, Jeff Evans, Michael Heiner, Christina M. Kennedy, and James R. Oakleaf: Conservation in the real world: Pragmatism does not equal surrender
- 25: Paul J. Ferraro: Are payments for ecosystem services benefiting ecosystems and people?
- 26: Jennifer L. Molnar: Corporations valuing nature: It's not all about the win-wins
- 27: Brian Silliman, Brent B. Hughes, Y. Stacy Zhang, Qiang He: Business as usual leads to underperformance in coastal restoration
- Conclusion
- 28: Brian Silliman and Stephanie Wear: If you remember anything from this book, remember this.




