Buch, Englisch, 434 Seiten, Print PDF, Format (B × H): 155 mm x 234 mm, Gewicht: 666 g
Estimating abundance of biological populations
Buch, Englisch, 434 Seiten, Print PDF, Format (B × H): 155 mm x 234 mm, Gewicht: 666 g
ISBN: 978-0-19-922587-3
Verlag: Oxford University Press
This advanced text focuses on the uses of distance sampling to estimate the density and abundance of biological populations. It addresses new methodologies, new technologies and recent developments in statistical theory and is the follow up companion to Introduction to Distance Sampling (OUP, 2001).
In this text, a general theoretical basis is established for methods of estimating animal abundance from sightings surveys, and a wide range of approaches to analysis of sightings data is explored. These approaches include: modelling animal detectability as a function of covariates, where the effects of habitat, observer, weather, etc. on detectability can be assessed; estimating animal density as a function of location, allowing for example animal density to be related to habitat and other locational covariates; estimating change over time in populations, a necessary aspect of any monitoring programme; estimation when detection of animals on the line or at the point is uncertain, as often occurs for marine populations, or when the survey region has dense cover; survey design and automated design algorithms, allowing rapid generation of sound survey designs using geographic information systems; adaptive distance sampling methods, which concentrate survey effort in areas of high animal density; passive distance sampling methods, which extend the application of distance sampling to species that cannot be readily detected in sightings surveys, but can be trapped; and testing of methods by simulation, so that performance of the approach in varying circumstances can be assessed.
Zielgruppe
Professionals in government and environment agencies, statisticians, biologists, wildlife managers, conservation biologists and ecologists, as well as graduate students, studying the density and abundance of biological populations.
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik Mathematik Mathematik Allgemein
- Naturwissenschaften Biowissenschaften Biowissenschaften Naturschutzbiologie, Biodiversität
- Naturwissenschaften Biowissenschaften Biowissenschaften Terrestrische Ökologie
- Naturwissenschaften Biowissenschaften Biowissenschaften Ökologie
- Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Populärwissenschaftliche Werke
- Naturwissenschaften Biowissenschaften Tierkunde / Zoologie
- Naturwissenschaften Biowissenschaften Biowissenschaften Meeres- und Süßwasserökologie
Weitere Infos & Material
- 1: S.T. Buckland and D R Anderson: Introduction to advanced distance sampling
- 2: D L Borchers and K P Burnham: General formulation for distance sampling
- 3: F F C Marques and S T Buckland: Covariate models
- 4: S L Hedley, S T Buckland and D L Borchers: Spatial distance sampling models
- 5: L Thomas, K P Burnham and S T Buckland: Temporal inferences from distance sampling surveys
- 6: J L Laake and D L Borchers: Methods for incomplete detection at distance zero
- 7: S Strindberg, S T Buckland and L Thomas: Design of distance sampling surveys and Geographic Information Systems
- 8: J H Pollard and S T Buckland: Adaptive distance sampling surveys
- 9: P M Lukacs, A B Franklin and D R Anderson: Passive approaches to detection in distance sampling
- 10: R M Fewster and S T Buckland: Assessment of distance sampling estimators
- 11: K P Burnham, S T Buckland, J L Laake, D L Borchers, T A Marques, J R B Bishop and L Thomas: Further topics in distance sampling
- References
- Index
