Evaluating the efficacy of eBird data for modeling historical population trajectories of North American birds and for monitoring populations of boreal and Arctic breeding species

Walker, Jacob; Taylor, Philip D.

doi:10.5751/ace-01671-150210

Cited by 11 publications

(11 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lastly, I give a conceptual example of fitting an ADSR model to empirical ecological data (Figure 3b); in this case the impact of spruce budworms on Canadian forests (Walker & Taylor, 2020). Using the ADSR model, I describe this disturbance as having an attack and decay stage of 8 years each, with a release stage of 20 years-a dynamic that is a poor fit to any previously described disturbance dynamic.…”

Section: How To Solve the Question Through The New Ideamentioning

confidence: 99%

“…Disturbance amplitude values are adjusted to ensure that the area under the curve is approximately equal (models without this adjustment also showed effects of varying attack and release parameters). An example (b) of an Attack, Decay, Sustain, and Release (ADSR) model fit to empirical ecological data, in this case the intensity of a spruce budworm outbreak in North America (re-plotted with permission fromWalker & Taylor, 2020). The gray polygon outlines the model with its parameters given at left, and the points represent the sum of hectares showing moderate or greater defoliation for that year this model, as implemented byJohnsson (2021), showed apparent non-linear behavior in response to varying values of release (see Supporting Information).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Idea paper: An envelope model of ecological disturbance

Friedman

2022

Ecological Research

View full text Add to dashboard Cite

Disturbance is common in natural ecosystems, but increasingly defines them. While there are many descriptions for the dynamics of an ecosystem's response to disturbance, there are few descriptions for the dynamics of the disturbance itself. I describe a novel application of a model based on the production of amplitude envelopes in acoustics and electronic music synthesis, with varying parameters Attack, Decay, Sustain, and Release (ADSR). I show that varying the parameters of the ADSR model is sufficient to produce and vary the qualitative disturbance regimes described by previous authors, and is capable of producing dynamics not previously considered. I tested the utility of the ADSR model by applying it to a logistic growth model. I found that manipulating the attack and release parameters of the ADSR model changes the population dynamics estimated by these models. This implies that responses to disturbance are determined not only by the resilience and resistance of the ecological system, but also the dynamics of the disturbance itself. My hope is that the ADSR model will prove useful to researchers in either describing disturbances in long‐term ecological data, or in producing disturbances for simulations or experiments.

show abstract

Section: How To Solve the Question Through The New Ideamentioning

confidence: 99%

mentioning

confidence: 99%

Idea paper: An envelope model of ecological disturbance

Friedman

2022

Ecological Research

View full text Add to dashboard Cite

show abstract

“…Lastly, I give a conceptual example of fitting an ADSR model to empirical ecological data (Figure 3b), in this case the impact of spruce budworms on Canadian forests (Walker & Taylor, 2020). Using the ADSR model, I describe this disturbance as having an attack and decay stage of eight years each, with a release stage of twenty years -a dynamic that is a poor fit to any previously described disturbance dynamic.…”

Section: How To Solve the Question Through The New Ideamentioning

confidence: 99%

Idea paper: An envelope model of ecological disturbance

Friedman

2021

Preprint

View full text Add to dashboard Cite

Disturbance is common in natural ecosystems, but increasingly defines them. While there are many descriptions for the dynamics of an ecosystem's response to disturbance, there are few descriptions for the dynamics of the disturbance itself. I describe a novel application of a model based on the production of amplitude envelopes in acoustics and electronic music synthesis, with varying parameters Attack, Decay, Sustain, and Release (ADSR). I show that varying the parameters of the ADSR model is sufficient to produce and vary the qualitative disturbance regimes described by previous authors, and is capable of producing dynamics not previously considered. I tested the utility of the ADSR model by applying it to a logistic growth model. I found that manipulating the attack and release parameters of the ADSR model changes the population dynamics estimated by these models. This implies that responses to disturbance are determined not only by the resilience and resistance of the ecological system, but also the dynamics of the disturbance itself. My hope is that the ADSR model will prove useful to researchers in either describing disturbances in long-term ecological data, or in producing disturbances for simulations or experiments.

show abstract

“…BBS data can be used to estimate relative abundance while accounting for observation error because these data follow a standardized protocol 12 . BBS data are commonly used to study population trends and species distributions 13 , 14 , yet observer availability and restriction to roads may lead to spatially unequal sampling and limited representation of some habitat types and species 15 – 18 .…”

Section: Introductionmentioning

confidence: 99%

Joint analysis of structured and semi-structured community science data improves precision of relative abundance but not trends in birds

Schindler

Cunningham

Schafer

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Estimating absolute and relative abundance of wildlife populations is critical to addressing ecological questions and conservation needs, yet obtaining reliable estimates can be challenging because surveys are often limited spatially or temporally. Community science (i.e., citizen science) provides opportunities for semi-structured data collected by the public (e.g., eBird) to improve capacity of relative abundance estimation by complementing structured survey data collected by trained observers (e.g., North American breeding bird survey [BBS]). We developed two state-space models to estimate relative abundance and population trends: one using BBS data and the other jointly analyzing BBS and eBird data. We applied these models to seven bird species with diverse life history characteristics. Joint analysis of eBird and BBS data improved precision of mean and year-specific relative abundance estimates for all species, but the BBS-only model produced more precise trend estimates compared to the joint model for most species. The relative abundance estimates of the joint model were particularly more precise than the BBS-only estimates in areas where species detectability was low resulting from either low BBS survey effort or low abundance. These results suggest that community science data can be a valuable resource for cost-effective improvement in wildlife abundance estimation.

show abstract

Evaluating the efficacy of eBird data for modeling historical population trajectories of North American birds and for monitoring populations of boreal and Arctic breeding species

Cited by 11 publications

References 19 publications

Idea paper: An envelope model of ecological disturbance

Idea paper: An envelope model of ecological disturbance

Idea paper: An envelope model of ecological disturbance

Joint analysis of structured and semi-structured community science data improves precision of relative abundance but not trends in birds

Contact Info

Product

Resources

About