Reducing the rate of false absences of cryptic species in inventory and sampling work

Lauriault, Patrick; Wiersma, Yolanda F.

doi:10.1639/0007-2745-122.4.578

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…Numerous studies have indicated that studies that are not actively searching for a target species, such as in surveys of broad communities, often miss cryptic species (Dawkins 1971; Lauriault and Wiersma 2019). In India, broad studies of Western Ghat birds surmised that the skulking rainforest bird, Sholicola was rare (Daniels et al 1991; Kannan 1998) while targeted surveys found it to be common at high elevations (Robin and Sukumar 2002).…”

Section: Discussionmentioning

confidence: 99%

“…We are limited in our ability to detect such changes in biodiversity due to the lack of appropriate comparative datasets, or challenges with detecting cryptic species. Many cryptic species escape detection through traditional surveys for lack of appropriate search images (Lauriault and Wiersma 2019), and in modern times are enhanced through the use of camera traps (Thomas et al 2020), and Acoustic Recording Units (ARU) (Frommolt and Tauchert 2014; Zwart et al 2014; Bobay, Taillie, and Moorman 2018) deployed over longer periods to increase the chances of detecting such species.…”

Section: Introductionmentioning

confidence: 99%

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Playback-aided surveys and acoustic monitoring in the detection of the Endangered Forest OwletAthene blewitti

Rajan,

Neema,

Trivedi

et al. 2024

Preprint

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Long-term monitoring of populations of rare, endangered species is often challenging. Both the availability of baseline historical datasets and appropriate methods for long-term monitoring are often limited. Anthropogenic climate change and landscape change can impact species distributions significantly, sometimes resulting in a distributional shift of species and, in some cases, driving species to extinction. The Forest Owlet is an endangered bird that was considered extinct but was rediscovered after 113 years in 1997. Since its rediscovery, followed by the description of its calls, there have been regular sightings of the species from newer locations, leading to its down-listing in the IUCN Red List from Critically Endangered to Endangered. One area of interest is the Dang region in Gujarat, India, where there have been no historical records despite previous ornithological studies, but there are several recent records. Through field surveys, we repurpose data from the last three decades (1990, 2000, and 2019) to explore if this bird currently occurs in previous study sites where it was not recorded. The period has seen the rise of acoustic data, and we assess if new survey techniques using playback of its call could increase its detection. Additionally, we examined any changes in landscape and climate in this region across the same period. We also developed an acoustic detection framework for detecting the Forest Owlet from co-occurring sympatric owlets using Automated Recording Units (ARU) and sound-analysis software. We assessed appropriate detection distances from vocalizing birds on the field to design a spacing grid for future surveys of the species. We could locate the Forest Owlet from the resurveys at locations where previous studies three decades ago had not. We also find a significant change in the landscape - loss of native forests and increased agriculture, along with a significant change in climatic variables - mean maximum temperature and mean rainfall. Although the detection of the Forest Owlet is higher when accompanied by playback of its call, there is considerable variation across the landscape. Our acoustic detector comparison led us to a detection strategy for long-term monitoring; different approaches for songs and calls, and an effective detection distance of 300m in its habitat. Although the species responds to climate and habitat change, our study cannot determine the cause of the increased reports of this endangered species. All possibilities remain; the increase in the recent records of the species could be from variable detection or changes in climate and land use. However, we do find increased detections with newer survey techniques with bioacoustics, and we recommend they be used with care for future baseline studies that are urgently required.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Playback-aided surveys and acoustic monitoring in the detection of the Endangered Forest OwletAthene blewitti

Rajan,

Neema,

Trivedi

et al. 2024

Preprint

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“…The detectability of this lichen across tree condition classes is quite similar, and we used a survey method that has been demonstrated to minimize missed detections within the plot boundaries (Lauriault & Wiersma 2019). Knowing the minimum tree age at which lichens can colonize would be useful but would require careful and frequent monitoring of young trees to detect when a lichen appears.…”

Section: Discussionmentioning

confidence: 99%

“…New lichen occurrences were documented opportunistically during surveys (carried out between 15 May and 13 September 2018) for plot establishment and occupancy determination (Lauriault & Wiersma 2019), with some new lichen occurrences being documented outside the plot areas during intelligent meandering (Mueller-Dombois & Ellenberg 1974; Minnesota Department of Natural Resources 2013). We selected areas that appeared to be ideal boreal felt lichen habitat in the ecoregion, which consisted of stunted-growth balsam fir stands that are either near to or within a wetland.…”

Section: Methodsmentioning

confidence: 99%

Substratum dynamics over time could influence the rarity of tree-dwelling cyanolichens

Lauriault

Wiersma

2020

The Lichenologist

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“…We selected study sites in locations which have been well studied before in terms of bryophytes and lichens based on several inventories, monitoring and other projects in Latvia from 2005 to 2020 to avoid a false absence data problem (Lauriault & Wiersma, 2019). While we are aware of the probability of false absences in our data, their influence on our data is likely to be minor.…”

Section: Data Collectionmentioning

confidence: 99%

The main drivers for the occurrence of six red-listed epiphytic bryophytes and lichens in the boreo-nemoral forest landscape, Latvia

Mežaka¹,

Moisejevs²,

Nitcis³

2021

Folia Cryptog. Estonica

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Forest landscape plays a significant role in rare cryptogam distribution. However, data about the environmental demands of rare epiphytic bryophytes and lichens in boreo-nemoral forest landscapes are not complete. In this study, we focused on finding the main environmental predictors influencing the occurrence of three red-listed epiphytic bryophytes and three red-listed epiphytic lichens in the Latvian boreo-nemoral forest landscape. We obtained the records of species from the Natural Data Management System OZOLS database, which is a national information system on all rare taxa. We analyzed the occurrence of species in relation to forest stand age and area, forest type, heterogeneity and tree bark pH class. We found that selected red-listed bryophyte and lichen occurrence was mainly influenced by forest stand age and area. However, each of the red-listed epiphytic bryophyte and lichen has their own ecological demands in the boreo-nemoral landscape.

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Reducing the rate of false absences of cryptic species in inventory and sampling work

Cited by 8 publications

References 14 publications

Playback-aided surveys and acoustic monitoring in the detection of the Endangered Forest OwletAthene blewitti

Playback-aided surveys and acoustic monitoring in the detection of the Endangered Forest OwletAthene blewitti

Substratum dynamics over time could influence the rarity of tree-dwelling cyanolichens

The main drivers for the occurrence of six red-listed epiphytic bryophytes and lichens in the boreo-nemoral forest landscape, Latvia

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