Agent-based simulations improve abundance estimation

Author:

Sólymos PéterORCID

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

Reference42 articles.

1. Amundson CL, Royle JA, Handel CM (2014) A hierarchical model combining distance sampling and time removal to estimate detection probability during avian point counts. The Auk: Ornithol Adv 131:476–494

2. Ball JR, Sólymos P, Schmiegelow FAK, Haché S, Schieck J, Bayne EM (2016) Regional habitat needs of a nationally listed species, Canada Warbler Cardellina canadensis, in Alberta Canada. Avian Conserv Ecol 11(2):10

3. Bayne EM, Lele SR, Sólymos P (2011) Bias in estimation of bird density and relative abundance when the closure assumption of multiple survey approaches is violated: a simulation study. Technical report, Boreal Avian Modelling Project. pp. 26

4. Blancher PJ, Rosenberg KV, Panjabi AO, Altman B, Couturier AR, Thogmartin WE, and the Partners in Flight Science Committee (2013) Handbook to the partners in flight population estimates database, Version 2.0. PIF Technical Series No 6. https://www.partnersinflight.org/wp-content/uploads/2018/11/PIF-Technical-Series-06-%E2%80%93-Handbook-to-PIF-Pop-Est-DB-2013.pdf

5. Buckland ST, Anderson DR, Burnham KP, Laake JL, Borchers DL, Thomas L (2001) Introduction to distance sampling: estimating abundance of biological populations. Oxford University Press, Oxford

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