SPOMSIM: software for stochastic patch occupancy models of metapopulation dynamics

2004 ◽  
Vol 179 (4) ◽  
pp. 533-550 ◽  
Author(s):  
Atte Moilanen
Keyword(s):  
Metapopulation Dynamics ◽  
Occupancy Models ◽  
Patch Occupancy

Using multistate occupancy estimation to model habitat use in difficult-to-sample watersheds: bridle shiner in a low-gradient swampy stream

2013 ◽  
Vol 70 (10) ◽  
pp. 1429-1437 ◽  
Author(s):  
Timothy Jensen ◽  
Jason C. Vokoun
Keyword(s):  
Habitat Use ◽  
Aquatic Organisms ◽  
Probability Of Detection ◽  
High Abundance ◽  
Occupancy Models ◽  
Imperfect Detection ◽  
Patch Occupancy ◽  
Rare Minnow ◽  
Occupancy Estimation ◽  
Bridle Shiner

We used multiseason, multistate patch occupancy models to investigate habitat use of a regionally rare minnow (bridle shiner, Notropis bifrenatus) within a difficult-to-sample, swampy stream system by defining occupancy states as coarse abundance categories (i.e., none, some, many). Habitat patches were repeatedly subsampled during three sampling periods spanning June to August 2011 using a nonstandard purse-and-lift method with a seine net, as poorly defined shorelines, unconsolidated substrate, and emergent vegetation limited beaching and restricted possible sampling locations. Detection probabilities increased from June to August, likely due to increasing catch per effort as age 0 became vulnerable to the gear, supported by the probability of detection being greater when the species was at high abundance, given occupancy. The probability of a habitat patch being occupied increased with the percent of macrophyte cover and decreased with increasing distance from another occupied patch. Decreasing mean depth showed a weak relationship to high abundance, given a patch was occupied. In summary, the multistate occupancy analytical approach was highly informative for developing quantitative habitat relationships and was seen as an effective framework for evaluating habitat use of aquatic organisms that inhabit environments inherently difficult to sample for which imperfect detection and sampling efficiency are of concern.

scholarly journals Spatial occupancy models for predicting metapopulation dynamics and viability following reintroduction

2015 ◽  
Vol 52 (5) ◽  
pp. 1325-1333 ◽  
Author(s):  
Richard B. Chandler ◽  
Erin Muths ◽  
Brent H. Sigafus ◽  
Cecil R. Schwalbe ◽  
Christopher J. Jarchow ◽  
...  
Keyword(s):  
Metapopulation Dynamics ◽  
Occupancy Models

scholarly journals Using patch occupancy models to estimate area of crevice-nesting seabird colonies

The Condor ◽  
2014 ◽  
Vol 116 (3) ◽  
pp. 316-324
Author(s):  
Joel H. Reynolds ◽  
Heather M. Renner
Keyword(s):  
Occupancy Models ◽  
Patch Occupancy ◽  
Seabird Colonies

scholarly journals Mechanisms of biodiversity between Campylobacter sequence types in a flock of broiler-breeder chickens

2021 ◽  
Author(s):  
Thomas Rawson ◽  
Frances M. Colles ◽  
J. Christopher D. Terry ◽  
Michael B. Bonsall
Keyword(s):  
Occupancy Models ◽  
Patch Occupancy ◽  
Term Study ◽  
Multiple Sequence ◽  
Broiler Breeder ◽  
Hierarchical Framework ◽  
Long Term Study ◽  
Trade Offs ◽  
Sequence Types

ABSTRACTA long-term study of Campylobacter sequence types was used to investigate the competitive framework of the Campylobacter metacommunity, and understand how multiple sequence types simultaneously co-occur in a flock of chickens. A combination of matrix and patch-occupancy models were used to estimate parameters describing the competition, transmission, and mortality of each sequence type. It was found that Campylobacter sequence types form a strong hierarchical framework within a flock of chickens, and occupied a broad spectrum of transmission-mortality trade-offs. Upon further investigation of how biodiversity is thus maintained within the flock, it was found that the demographic capabilities of Campylobacter, such as mortality and transmission, could not explain the broad biodiversity of sequence types seen, suggesting that external factors such as host-bird health and seasonality are important elements in maintaining biodiversity of Campylobacter sequence types.

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