Optimal sampling design to survey riparian bird populations with low detection probability / Frank J. N. D’Amico, Claire Kermorvant, José M. Sánchez, Juan Arizaga.
Contributor(s): D’Amico, Frank J.N | Kermorvant, Claire | Sánchez Sánchez, José María | Arizaga, Juan | Aranzadi Zientzia Elkartea.
Material type: Computer fileCitation: D'Amico, F.J.N., Kermorvant, C., Sánchez, J.M., Arizaga, J., 2020. Optimal sampling design to survey riparian bird populations with low detection probability, Bird Study, 67(2), 160-167. https://doi.org/10.1080/00063657.2020.1784090 Publisher: [S.l.]: BTO, 2020Content type: texto (visual) Media type: electrónico Genre/Form: Artículo científicoOnline resources: Click here to access online Summary: Capsule: Linear censusing and occupancy models based on fixed sampling points are alternative widely used techniques to determine bird densities in riparian ecosystems, although it cannot be always properly executed. Aims: The aim is to assess the survey efficiency for river birds using occupancy models in contexts of impaired visibility owing to dense vegetation along the banks. Methods: We tested whether increasing sampling periods within each survey unit (point) at occupancy models would result in increasing detection probability values. We used two approaches in order to identify the ‘best’ design for White-throated Dippers Cinclus cinclus along forested river stretches: minimizing survey effort of standard single-season site occupancy modelling and exploratory power analysis. Results: With a detection probability of 0.26 (i.e. much lower than in previous studies), a design with 60 sites surveyed 10 min 6 times a year would be the option to survey White-throated Dippers in forested habitats if an acceptable power is required. Simulations further revealed the consistency of the results. Conclusion: We provide guidelines to establish a cost-effective survey design for any long-term monitoring citizen-based programme of a White-throated Dipper population when detection probabilities are low. A strength and novelty of the method is to take advantage of advanced probabilistic approaches (e.g. GRTS) to select the survey sites providing, among other major interests, a spatially balanced geographic coverage.Item type | Current location | Call number | URL | Status | Date due |
---|---|---|---|---|---|
Publicación | Publicaciones Ornitología | https://www.tandfonline.com/doi/abs/10.1080/00063657.2020.1784090?journalCode=tbis20 | Not for loan |
Restringido
Capsule: Linear censusing and occupancy models based on fixed sampling points are alternative widely used techniques to determine bird densities in riparian ecosystems, although it cannot be always properly executed.
Aims: The aim is to assess the survey efficiency for river birds using occupancy models in contexts of impaired visibility owing to dense vegetation along the banks.
Methods: We tested whether increasing sampling periods within each survey unit (point) at occupancy models would result in increasing detection probability values. We used two
approaches in order to identify the ‘best’ design for White-throated Dippers Cinclus cinclus along forested river stretches: minimizing survey effort of standard single-season site occupancy modelling and exploratory power analysis.
Results: With a detection probability of 0.26 (i.e. much lower than in previous studies), a design with 60 sites surveyed 10 min 6 times a year would be the option to survey White-throated Dippers in forested habitats if an acceptable power is required. Simulations further revealed the consistency of the results.
Conclusion: We provide guidelines to establish a cost-effective survey design for any long-term monitoring citizen-based programme of a White-throated Dipper population when detection probabilities are low. A strength and novelty of the method is to take advantage of advanced probabilistic approaches (e.g. GRTS) to select the survey sites providing, among other major interests, a spatially balanced geographic coverage.
D'Amico, F.J.N., Kermorvant, C., Sánchez, J.M., Arizaga, J., 2020. Optimal sampling design to survey riparian bird populations with low detection probability,
Bird Study, 67(2), 160-167. https://doi.org/10.1080/00063657.2020.1784090
There are no comments for this item.