Time and energy budgets of Cassin's sparrow (Aimophila cassinii) during the breeding season: evaluation through modelling

Schnase, John L.; Grant, William E.; Maxwell, Terry C.; Leggett, John J.

doi:10.1016/0304-3800(91)90091-e

Cited by 13 publications

(34 citation statements)

References 22 publications

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“…We did, however, look at several attributes of these models to gain a general understanding of how the Monte Carlo algorithm was performing. The predictive distribution maps produced by the models were judged for reasonableness based on first-hand knowledge of the species, its habitat preferences, and known range [ 50 ]. We further compared these predictions to observational records from Cornell Lab’s eBird citizen-scientist database [ 66 ].…”

Section: Methodsmentioning

confidence: 99%

Toward a Monte Carlo approach to selecting climate variables in MaxEnt

et al. 2021

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MaxEnt is an important aid in understanding the influence of climate change on species distributions. There is growing interest in using IPCC-class global climate model outputs as environmental predictors in this work. These models provide realistic, global representations of the climate system, projections for hundreds of variables (including Essential Climate Variables), and combine observations from an array of satellite, airborne, and in-situ sensors. Unfortunately, direct use of this important class of data in MaxEnt modeling has been limited by the large size of climate model output collections and the fact that MaxEnt can only operate on a relatively small set of predictors stored in a computer’s main memory. In this study, we demonstrate the feasibility of a Monte Carlo method that overcomes this limitation by finding a useful subset of predictors in a larger, externally-stored collection of environmental variables in a reasonable amount of time. Our proposed solution takes an ensemble approach wherein many MaxEnt runs, each drawing on a small random subset of variables, converges on a global estimate of the top contributing subset of variables in the larger collection. In preliminary tests, the Monte Carlo approach selected a consistent set of top six variables within 540 runs, with the four most contributory variables of the top six accounting for approximately 93% of overall permutation importance in a final model. These results suggest that a Monte Carlo approach could offer a viable means of screening environmental predictors prior to final model construction that is amenable to parallelization and scalable to very large data sets. This points to the possibility of near-real-time multiprocessor implementations that could enable broader and more exploratory use of global climate model outputs in environmental niche modeling and aid in the discovery of viable predictors.

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Section: Methodsmentioning

confidence: 99%

Toward a Monte Carlo approach to selecting climate variables in MaxEnt

et al. 2021

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“…A combined auditory and visual challenge is, therefore, frequently insufficient or altogether ineffective to rapidly elevate plasma T. It has also been proposed that the number of broods regulates the response to STI, with males of multi-brooded but not single-brooded species increasing plasma T in response to STI (Gill et al, 2008;Landys et al, 2007). Cassin's Sparrows in part of their range (Texas; Schnase et al, 1991) are thought to commonly be double-brooded, but the reproductive biology of the species remains incompletely known and it has not been determined whether this is the case also for sparrows of the northern population investigated here. Thus, the present data neither support nor contradict the hypothesis that the androgen responsiveness to STI is related to the mating system.…”

Section: Juncos Junco Hyemalis Have Similar Plasma T Concentrationsmentioning

confidence: 98%

“…During the breeding season, males defend territories mostly through song duels that do not involve physical contact (Dunning et al, 1999). Cassin's Sparrows are thought to be socially monogamous (Dunning et al, 1999) and to establish seasonal breeding territories, and at least in part of their breeding range, to normally be double-brooded (Texas: Schnase et al, 1991).…”

Section: Animalsmentioning

confidence: 99%

Up to the challenge? Hormonal and behavioral responses of free-ranging male Cassin's Sparrows, Peucaea cassinii, to conspecific song playback

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et al. 2012

Hormones and Behavior

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“…Compartment modeling and systems analysis provide techniques for reasoning about dynamically complex systems, and we believe that they can be helpful in understanding FNA [12][13][14]. We are working closely with staff in the FNA Organizational Center and with our science publishers at Oxford University Press in constructing the simulation.…”

Section: Building a Taxonomy Of Dependenciesmentioning

confidence: 96%

“…Evaluation will be performed using four methods: (1) complexity analysis-after completion of initial model development, we should have additional information that would allow us to analyse the FNA publishing algorithm in greater detail from a formal, mathematical perspective [10,11]; (2) systems theoretical analysis-to evaluate our solution from a system modeling and simulation perspective, we will model work processes in the new framework and compare their performance with our baseline simulation [12][13][14]; (3) qualitative assessment-we will evaluate user perceptions of the usability of the concepts and system, including authors, our Oxford University Press and New York Botanical Garden partners, and staff in the Organization Center [16]; and (4) empirical assessment-we will observe through practical use whether the new approach actually speeds things up. We currently anticipate a four-fold increase in overall throughput which would be a very positive result.…”

Section: 43mentioning

confidence: 99%