ESTIMATING THE RESPONSE OF RING-NECKED PHEASANTS (<i>PHASIANUS COLCHICUS</i>) TO THE CONSERVATION RESERVE PROGRAM

Nielson, Ryan M.; McDonald, Lyman L.; Sullivan, Joseph P.; Burgess, C M; Johnson, Devin S.; Johnson, Douglas H.; Bucholtz, Shawn; Hyberg, Skip; Howlin, Shay

doi:10.1525/auk.2008.07002

Cited by 37 publications

(41 citation statements)

References 18 publications

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“…Survey data Link 2002, 2011;Thogmartin et al 2004;Nielson et al 2008) and data from largescale monitoring efforts like the west-wide golden eagle survey (Millsap et al 2013, Nielson et al 2014). …”

Section: Appendix II -Methodology Used In Modeled Trend Analysismentioning

confidence: 99%

“…This approach reduced the potential bias that could result if larger leks tended to be monitored earlier (e.g., 1965-1980; larger lek = more males) and many smaller leks were only recently included in the monitoring efforts. This hierarchical modeling approach included both fixed and random effects and was similar to approaches used to estimate trends in Breeding Bird Survey data Link 2002, 2011;Thogmartin et al 2004;Nielson et al 2008) and data from large-scale monitoring efforts like the west-wide golden eagle survey (Millsap et al 2013, Nielson et al 2014. A complete description of this modeling approach and assumptions made is included in Appendix II.…”

Section: Modeled Trend Analysismentioning

confidence: 99%

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Environmental cues used by Greater Sage-Grouse to initiate altitudinal migration

Pratt

Smith

Beck

2017

The Auk

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Executive Summary -Counts of males attending leks in the spring have been the primary means employed by states to monitor status of greater sage-grouse (Centrocercus urophansianus) populations for over 75 years. Despite limitations and potential biases, lek count data remain the only long-term, range-wide dataset available for evaluating trends in sage-grouse populations. Using lek data provided by each state, we calculated the number of active leks, the average number of males per active lek each year, and modeled trends in male counts using a set of mixed-effects, Bayesian hierarchical models at range-wide, management zone, and state spatial scales for the period. Trends within high population density core areas were compared to peripheral areas at rangewide and management zone scales. Trend estimates were also modeled at range-wide scales for the most recent 10-year period (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)

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Section: Appendix II -Methodology Used In Modeled Trend Analysismentioning

confidence: 99%

Section: Modeled Trend Analysismentioning

confidence: 99%

Environmental cues used by Greater Sage-Grouse to initiate altitudinal migration

Pratt

Smith

Beck

2017

The Auk

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“…The hierarchical structure of the model makes efficient use of the data and is less sensitive to annual variation in sampling error. In addition, the HB 3 model can be expanded easily to include covariables and explicit spatial structure (e.g., Thogmartin et al 2004;Nielson et al 2008), and the HB framework lends itself well to composite and comparative analyses of the BBS and other surveys (e.g., link and Sauer 2007 and the method used here to compare the magnitude and precision of trends from the two models). Finally, the HB 3 model estimates trends and annual indices within a single coherent model structure which the ml model lacks.…”

Section: Improved Population Inference From Bbsmentioning

confidence: 99%

Estimating breeding bird survey trends and annual indices for Canada: how do the new hierarchical Bayesian estimates differ from previous estimates?

et al. 2014

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Smith, Adam C., marie-Anne r. Hudson, Constance Downes, and Charles m. Francis. 2014. Estimating breeding bird survey trends and annual indices for Canada: how do the new hierarchical Bayesian estimates differ from previous estimates? Canadian Field-Naturalist 128(2): 119-134.Canadian data from the North American Breeding Bird Survey (BBS) provide information on the population status and trends for over 300 species that regularly breed in Canada. Since the first assessments were made in the mid-1970s, both the dataset and the suite of statistical tools and techniques available to researchers have grown. As a result, Canadian BBS trend estimates have been derived from numerous statistical models. Because the BBS data are relatively complex, different statistical models can generate different trend and status estimates from the same data. In 2013, Environment Canada's Canadian wildlife Service began producing BBS status and trend estimates using a hierarchical Bayesian model. To give users of BBS trends and annual indices of abundance a better understanding of these estimates, we demonstrate and explain some of the similarities and differences between the new hierarchical Bayesian estimates and those from the previous model; discuss the philosophical and inferential consequences of estimating trends with the new model; and describe how the hierarchical Bayesian model differs from the model currently used in the united States. overall, trends and annual indices from the new model are generally similar to estimates from the previous model; however, they are more precise, less variable among years, better represent the spatial variation across Canada in population status, and allow for more intuitive and useful assessments of uncertainty.

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“…These models utilize presence, absence or abundance data from museum vouchers or field surveys and environmental predictors to create probability models of species distributions within landscapes, regions and continents (Guisan and Thuiller 2005). These models can forecast potential future impacts of environmental changes on species distributions, allowing practitioners to assess alternative policies and actions to plan for the change (Nielson et al 2008). It also estimates the relative suitability of habitat known to be occupied by the species, relative suitability of habitat in geographical areas not known to be occupied by the species, changes in the suitability of habitat over time given a specific scenario for environmental change and the species niche (Warren and Seifert 2011).…”

Section: Species Distribution Modelling Ecological Niche Modelling Omentioning

confidence: 99%

Remote Sensing and GIS for Biodiversity Conservation

Prasad¹,

Semwal

Roy

2014

Recent Advances in Lichenology

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ESTIMATING THE RESPONSE OF RING-NECKED PHEASANTS (PHASIANUS COLCHICUS) TO THE CONSERVATION RESERVE PROGRAM

Cited by 37 publications

References 18 publications

Environmental cues used by Greater Sage-Grouse to initiate altitudinal migration

Environmental cues used by Greater Sage-Grouse to initiate altitudinal migration

Estimating breeding bird survey trends and annual indices for Canada: how do the new hierarchical Bayesian estimates differ from previous estimates?

Remote Sensing and GIS for Biodiversity Conservation

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