Time‐to‐detection occupancy methods: performance and utility for improving efficiency of surveys

Halstead, Brian J.; Rose, Jonathan P.; Kleeman, Patrick M.

doi:10.1002/eap.2267

Cited by 14 publications

(22 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further work investigating the characteristics of plants that are appropriate for occupancy sampling methods would help improve the application of this approach in plant studies. Finally, further development of methods involving time to detection may prove to be useful in multispecies plant studies (Garrard et al, 2008(Garrard et al, , 2015Halstead et al, 2021).…”

Section: Plant Detection Was Never Perfectmentioning

confidence: 99%

Trade‐offs associated with occupancy models in a multispecies grassland plant population study

Middleton

Vining

2022

Ecosphere

View full text Add to dashboard Cite

Occupancy models have been underused in multispecies plant studies. We evaluated the effectiveness of occupancy models to document impacts of management on grassland plant species populations in a pilot study. The study was designed to answer three questions: (1) From a list of 44 plant species, how many will have sufficient frequency to be analyzed? (2) Within a single site, which factor (sampling year or unit) influences occupancy and detection of each plant species? (3) How does the number of plots and visits affect the number of species with sufficient frequency for analysis? In 2012 and 2013, occupancy and detection probabilities of 44 plant species were assessed using permanently marked plots on two different grassland sites. Within each site, a fire and grazing managed unit and a burn-only control unit were used to test the efficacy of occupancy modeling for multiple plant species and study design. Four of the 44 species had sufficiently high known presence (π) on both sites and years to be analyzed. There was little evidence to support that occupancy was different between years, despite very different weather patterns. There was support that occupancy was different in the burned and grazed unit compared with the control for Rhus copallinum L. Detection was highest (≥0.8) for R. copallinum, while the other species analyzed varied. In 2012, eight species had sufficient π for analysis. In 2013, 12 species had sufficient π for analysis. Occupancy models can be useful for investigating multiple plant species; however, a priori investigation of species' distribution is necessary to ensure species can be analyzed. Detection of plants was never 1, and therefore, detection should continue to be incorporated in plant population models, regardless of modeling technique.

show abstract

Section: Plant Detection Was Never Perfectmentioning

confidence: 99%

Trade‐offs associated with occupancy models in a multispecies grassland plant population study

Middleton

Vining

2022

Ecosphere

View full text Add to dashboard Cite

show abstract

“…In addition to direct parameter estimation, time‐to‐detection methods afford researchers a tool for planning future monitoring efforts (Garrard et al, 2008; Halstead et al, 2021; Henry et al, 2020). Curves that relate survey time to detection probability enable researchers to design survey protocols at a desired threshold of detectability, and regression of covariates on detection time offers flexibility to incorporate factors affecting detection.…”

Section: Discussionmentioning

confidence: 99%

“…Time-to-detection models are a relatively novel technique for estimating detection probability, occupancy, and abundance but have been employed for monitoring a variety of organisms, including passerines (Whittington et al, 2019) and herpetofauna (Halstead et al, 2018). Under conditions of high detectability and occupancy, the effectiveness of time-to-detection methods are similar to more traditional methods employing repeated surveys yet require measurably less survey effort (Halstead et al, 2021). Nonetheless, detection probabilities estimated from time-to-detection models can be biased for species with low detection probability or in conditions of heterogeneous detectability and may necessitate survey durations that are preventatively long (Halstead et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Detectability of common ravens (Corvus corax) in the eastern USA: Rapid assessment of a recolonizing species

et al. 2022

View full text Add to dashboard Cite

Common ravens (Corvus corax) inhabited much of the eastern United States prior to European colonization but were nearly extirpated by the mid‐1900s. Although remnant raven populations have since begun recolonizing portions of their historic range in the eastern United States, the extent of recovery remains largely unknown because of the species' elusive behavior. To aid development of targeted monitoring programs for this rare and cryptic species, we investigated factors that may influence detectability of ravens in natural cliff habitat during the nesting season in the Central Appalachian Mountains. Using a time‐to‐detection framework, we performed surveys at cliff sites with positive raven occupancy and recorded time to first detection (TFD) and confirmed cliff occupancy (i.e., occupied detection) to estimate detection probability curves as a function of survey time. We further compared multiscale habitat features of occupied and unoccupied cliff sites to characterize regional nesting habitat. Mean TFD at occupied cliffs was 14 ± 2 (SE) min. The TFD and subsequent detection probability increased with warming temperatures, likely as a result of heightened activity at nests as the reproductive season progressed. Shorter distances from observation point to the surveyed cliff resulted in longer TFD, indicating that ravens are likely sensitive to disturbance at nest sites. Analysis of cliff‐nesting habitat data identified raven selection of cliffs with large, exposed faces positioned on predominant west‐facing aspects. Mean detection probability calculated from detectability curves was ≥0.8 after the first 30 min. Using a probability‐based model and empirical detection probabilities, we estimated that raven absence from a cliff site during the nesting season may be inferred with p = 0.99 after three independent 30‐min surveys. Although ravens have been considered elusive and rare in the eastern United States, we find that their detectability at occupied cliff sites during the nesting season is relatively high and that observation of distributional changes may be easier for this species than for other, more cryptic birds.

show abstract

“…In addition to this, the low number of species recorded at each habitat type might be due to different reasons including the less conspicuous nature of some avian species and the lower detectability of small cryptic birds in the area [42,43].…”

Section: Discussionmentioning

confidence: 99%

Species Composition, Relative Abundance, and Habitat Association of Avifauna in Zegie Peninsula Forest Patches and Associated Wetlands, Bahir Dar, Ethiopia

Mola

Ejigu

Yitayih

2021

International Journal of Zoology

View full text Add to dashboard Cite

Introduction. Ethiopia is one of the most avifauna rich countries in Africa. Avifaunal surveys are required to inform conservation decisions and enhance land management for biodiversity. Avifaunal surveys from Ethiopia are lacking. This study examines species composition, relative abundance, and habitat association of avian fauna in Zegie Peninsula forest patches and associated wetlands from surveys carried out from August 2018 to March 2019, covering both the wet and dry seasons. Data Collection. Forest, shrub, lakeshore, and wetland habitats were identified as ecologically relevant habitats in the study area for data collection. Data were collected using point count and line transect methods, for 24 days in total for both seasons in the morning and afternoon. Results. A total of 96 species of birds were identified during the whole study period. Out of the total, 40 species were observed during the wet season, 13 during dry and 43 species in both seasons. There was significant variation of species distribution among habitats. During the wet season, the highest species diversity was recorded in the wetland habitat followed by forest habitat. During the dry season, avian diversity was the highest in the lakeshore followed by wetlands. The highest evenness was observed in the shrubland during both the wet and dry seasons. During the wet season, the highest species similarity was recorded between wetland and lakeshore habitats, and during the dry season, the highest species similarity was recorded between forest and shrub habitats. Based on encounter rate data, 64 (66.66%) of the avian species were uncommon. Conclusions. Compared to previous studies conducted in the study area, species diversity was lower. This might be due to various anthropogenic activities such as deforestation of trees for timber and cutting trees for firewood. Therefore, awareness creation should be given to the local community to reduce habitat destruction due to various human-induced factors.

show abstract

Time‐to‐detection occupancy methods: performance and utility for improving efficiency of surveys

Cited by 14 publications

References 25 publications

Trade‐offs associated with occupancy models in a multispecies grassland plant population study

Trade‐offs associated with occupancy models in a multispecies grassland plant population study

Detectability of common ravens (Corvus corax) in the eastern USA: Rapid assessment of a recolonizing species

Species Composition, Relative Abundance, and Habitat Association of Avifauna in Zegie Peninsula Forest Patches and Associated Wetlands, Bahir Dar, Ethiopia

Contact Info

Product

Resources

About