Charlotte E. Hacker, Brandon D. Hoenig, Liji Wu, Wei Cong, Wei Cong, Jingjing Yu, Yunchuan Dai, Ye Li, Jia Li, Yadong Xue, Yu Zhang, Yunrui Ji, Hanning Cao, Diqiang Li, Yuguang Zhang, Jan E. Janecka. 2021: Use of DNA metabarcoding of bird pellets in understanding raptor diet on the Qinghai-Tibetan Plateau of China. Avian Research, 12(1): 42. DOI: 10.1186/s40657-021-00276-3
Citation: Charlotte E. Hacker, Brandon D. Hoenig, Liji Wu, Wei Cong, Wei Cong, Jingjing Yu, Yunchuan Dai, Ye Li, Jia Li, Yadong Xue, Yu Zhang, Yunrui Ji, Hanning Cao, Diqiang Li, Yuguang Zhang, Jan E. Janecka. 2021: Use of DNA metabarcoding of bird pellets in understanding raptor diet on the Qinghai-Tibetan Plateau of China. Avian Research, 12(1): 42. DOI: 10.1186/s40657-021-00276-3

Use of DNA metabarcoding of bird pellets in understanding raptor diet on the Qinghai-Tibetan Plateau of China

More Information
  • Corresponding author:

    Yuguang Zhang, E-mail:yugzhang@sina.com

    Jan E. Janecka, E-mail:janeckaj@duq.edu

  • Received Date: 25 Feb 2021
  • Accepted Date: 31 Jul 2021
  • Available Online: 24 Apr 2022
  • Publish Date: 20 Aug 2021
  • Background 

    Diet analysis is essential to understanding the functional role of large bird species in food webs. Morphological analysis of regurgitated bird pellet contents is time intensive and may underestimate biodiversity. DNA metabarcoding has the ability to circumvent these issues, but has yet to be done.

    Methods 

    We present a pilot study using DNA metabarcoding of MT-RNR1 and MT-CO1 markers to determine the species of origin and prey of 45 pellets collected in Qinghai and Gansu Provinces, China.

    Results 

    We detected four raptor species [Eurasian Eagle Owl (Bubo bubo), Saker Falcon (Falco cherrug), Steppe Eagle (Aquila nipalensis), and Upland Buzzard (Buteo hemilasius)] and 11 unique prey species across 10 families and 4 classes. Mammals were the greatest detected prey class with Plateau Pika (Ochotona curzoniae) being the most frequent. Observed Shannon's and Simpson's diversity for Upland Buzzard were 1.089 and 0.479, respectively, while expected values were 1.312±0.266 and 0.485±0.086. For Eurasian Eagle Owl, observed values were 1.202 and 0.565, while expected values were 1.502±0.340 and 0.580±0.114. Interspecific dietary niche partitioning between the two species was not detected.

    Conclusions 

    Our results demonstrate successful use of DNA metabarcoding for understanding diet via a novel noninvasive sample type to identify common and uncommon species. More work is needed to understand how raptor diets vary locally, and the mechanisms that enable exploitation of similar dietary resources. This approach has wide ranging applicability to other birds of prey, and demonstrates the power of using DNA metabarcoding to study species noninvasively.

  • Bird nests are an integral component of avian ecology. The beauty and diversity of their form and placement have intrigued naturalists since antiquity (Darwin 1871; Brewer 1878; Wallace 1889; Aristotle c. 350 BC). Within recent times, avian phylogenetics has enabled a focus on the evolution of general characteristics of bird nests (Sheldon and Winkler 1999; Zyskowski and Prum 1999; Irestedt et al. 2006; Drury and Burroughs 2016; Price and Griffith 2017; Englert Duursma et al. 2018; Fang et al. 2018; Medina 2019; Mouton and Martin 2019; Nagy et al. 2019). Typically, ecological studies of nests are based on descriptions from field observations (Deeming and Reynolds 2015).

    Generalised nest characteristics are important for informing macroecological studies, but far more information can be acquired from detailed physical inspection of nest voucher specimens. Nests are intentionally created objects, built of diverse materials, both natural and artificial. Nests also create an environment for ectoparasites, fungal growth, bacterial communities, nest commensals, and brood parasites. They are thus rich sources of biological data: a single nest is a habitat, an environmental sample, an indicator of breeding status, a record of species-specific behaviour, the stage for inter-species interactions, and an example of animal architecture (Hansell 2000, 2007; Goodfellow 2011). Consequently, nests are powerful tools for the study of topics as varied as animal behaviour, entomology, parasitology, plant ecology, urbanisation, and climate change. For example, study of trace-DNA left behind in bird nests has been used to identify the cryptic species that occupied them (Arnold et al.2017). Similar techniques could provide a new source of species occurrence data to improve biodiversity assessment. Study of physical nests also has revealed the selective use of construction material for specific functions, including camouflage through optical illusion, tensile strength, sanitation, regulation of egg evapotranspiration, and response to climatic conditions (Ar and Rahn 1980; Freymann 2008; Aubrecht et al. 2013; Ruiz-Castellano et al. 2016, 2018; Campbell et al. 2018). Collected nests may also be used to describe contemporary and historical species range limits for birds, insects and plants (Rulik and Kallweit 2006; Russell et al. 2013).

    All of these facets of nest research depend on collections housed in museums. Indeed, use of nest specimens should represent a baseline standard, because voucher specimens enable species verification, study repeatability, and the testing of future hypotheses (Remsen 1995; Suarez and Tsutsui 2004; Clemann et al. 2014; Rocha et al. 2014; Schmitt et al. 2018). Yet despite the high research potential of nests, they have typically been underrepresented in collections, and consequently underutilized (e.g., Wiedenfeld 1982; ANWC collection, below; Green and Scharlemann 2003). For example, a hummingbird nest collected in Brazil by Joseph Banks and Daniel Solander in 1768 had the note 'scientific value-nil' added to its museum label around the turn of the twentieth century (Allen 2003). A similar bias is evident in an historical text on how to collect and preserve bird eggs and nests (Bendire 1891). It devoted seven pages to egg collecting alone, but a single paragraph on the collection, preservation, and curation of nests. Compounding the problem, nests of species such as corvids and raptors are large, unwieldy and difficult or impossible to collect in their entirety, are difficult to store (Fig. 1a). Consequently, nest collections tend to be small and taxonomically biased compared to egg and skin collections (Aguilera Román and Wiley 2012).

    Figure  1.  Nest shape and structure affects storage and management. a An Australian Magpie (Gymnorhina tibicen) nest ANWC N00252, composed almost entirely of human-made material, including clothes hangers and cables. Large and unwieldy nests such as this are difficult to collect and store. b Two Grey Fantail (Rhipidura albiscapa) nests ANWC N00179 and N00180, demonstrating ways that registration tags may be affixed to nests. At the ANWC the preferred method is to tie the registration tag on to the nest site attachment (left). If there is no appropriate nest site attachment, tags may be tied through the nest side wall, using spacer knots to avoid tension on the nest structure (right). This can be useful in that it allows researchers to examine the tag with minimal movement of nest materials but is only appropriate when nest structure is sufficiently robust

    The historical neglect of nests as collection items may be redressed by a renewed focus on nest collection, the application of modern research techniques, and appropriate curation. Accordingly, we describe the collection, curatorial history and current management protocols of the Australian National Wildlife Collection's nest collection. The collection is relatively small but biogeographically and phylogenetically important, particularly in light of the now well-established Australian origins of songbirds (Moyle et al.2016; Oliveros et al. 2019). We also present the results of a humidification experiment to restore the three-dimensional shape of songbird nests damaged by crowded storage conditions. The information in this paper represents a comprehensive compilation of best-practice standards for the curation of nests and their metadata, and the collection management protocols to ensure the security, growth and long-term utility of museum nest collections.

    The Australian National Wildlife Collection (ANWC) is a research-only collection of approximately 200, 000 specimens of Australasian terrestrial vertebrates. It is housed by the Australian Commonwealth Government's scientific research organisation, the CSIRO, in Canberra, Australia. The collection began by aggregating the individual collections of CSIRO researchers conducting ecological studies in the 1950s and 60s. Consequently, the collection is data-rich though relatively young. Since the 1980s, most specimens are also associated with a cryogenically stored tissue sample appropriate for genetic research.

    The ANWC currently houses approximately 800 individual bird nests, the majority of which have detailed ecological data, and often associated accessioned egg clutches. Almost all nests in the collection are from Papua New Guinea or Australia. Nest collection efforts were most intensive during bird and mammal surveys of Papua New Guinea in the 1960s and 70s. Field collection strategically targeted songbird nests from species whose nests were either scientifically undescribed or were accompanying voucher specimens of nesting birds. These nests were not photographed, but were richly documented with notes on substrate, contents, and dimensions. In addition to New Guinean nests, the ANWC collection consists of several hundred nests collected in the Australian Capital Territory and in the Northern Territory, Australia in the 1970s and 1980s. More recently, the ANWC has acquired the historical nest and egg collections of several Australian private egg collectors, including Robert Green, Mervin T. Goddard, John Kershaw, and Donald Seton (Mason and Pfitzner2020). The ANWC collection is heavily biased towards the nests of passerines (at the time of writing 93% of registered nests are of passerines, and 7% from five other orders).

    Although earlier ANWC staff collected nests, they prioritised the preparation and curation of other kinds of specimens that required more immediate attention, such as eggs and whole birds. When staff did collect nests, they brought them back to the ANWC and put them into storage to await accession and curation. Consequently, some nests were disfigured due to years of substandard storage and compression in bags and boxes of low archival quality, and most were not databased. ANWC staff began to prioritise nest curation around 2016. Nest curation and databasing are now ongoing and active projects at the ANWC.

    The ANWC does not currently collect active nests, and has not done so in approximately 30 years. Critically, any ANWC collecting followed and follows all local and federal regulations and permitting processes for collecting nests. In Australia, nests of all native species are protected, but specific state or territory legislation determines whether and when inactive nests may be collected. At the ANWC no collecting of any kind of specimen is conducted without first obtaining appropriate animal ethics permits, as well as appropriate state and territory salvage and scientific collecting permits.

    Current protocols for collecting nests at the ANWC focuses, with appropriate permits, on donated nests from historical collections and on recently inactive nests of species that build new nests for each breeding attempt. These nests are data-rich, yet their collection poses fewer, if any, ethical considerations than the collection of active nests. Collecting recently inactive nests has always been done in conjunction with direct observation of the parents and nest contents. This increases the utility of nest data and the certainty of identification and taxonomic assignment. Ideally, nests should be collected as soon as possible after they are no longer used by adult birds. Care must be taken when monitoring the nest to not influence the outcome of the nest by accidentally alerting predators to nest location, or by harassing parents into abandoning the nest (Ralph et al. 1993). When the nest is ready to be collected, current protocol dictates that it is first described and photographed in situ. The entire nest should then be removed, including the attachment sites when possible, photographed again, and accompanied by detailed notes on nest dimensions, composition and structure, all of which are digitally linked to the nest record (for excellent examples of detailed metadata collection for nests see Simon and Pacheco 2005; Gonzaga et al. 2016).

    Nest structure and dimensions can affect nest collectability. If a nest is too large or flimsy to be collected, our protocol dictates collecting nest lining along with some outer contents. Similarly, our protocol excludes collecting nest hollows or other nests that may be reused between breeding attempts or seasons, and instead calls for collecting subsamples of nest lining and other materials from inside cavities when the nest is not active. As with whole nests, ANWC policy calls for documentation of nest subsamples with detailed notes and photos, which are digitally linked to the permanent nest record.

    After collection and documentation, or upon donation of historical collections, nests are registered and affixed with a registration tag. Affixing registration tags requires some discretion, and must be done with a minimum of damage, if any, to the nest structure (Fig. 1b). Current ANWC policy calls for the use of cardboard boxes in the field to avoid shape distortion during transport (see Humidification Experiment, below). We discourage placing nests, even temporarily, in plastic containers, because of the risk of mould growth on nests while in field storage or transit. We also avoid stuffing material such as tissue inside nests, which can distort nest shape or damage the inner nest lining. Nests collected and stored as outlined above can then be safely and easily transported back to the preparation laboratory.

    Once in the preparation laboratory, nests are readied for final storage in the vaults. We air-dry all nests on indoor shelving in this space for several weeks. This helps avoid mould growth due to residual moisture. When nests are thoroughly dry, we place them in individual archival cardboard boxes, cushioned on top of archival tissue paper. Archival tissue below nests ensures that any material that falls from nests is not lost. Such debris may be used for future genetic analyses, thus avoiding the need for destructive sampling from the nest itself. Archival tissue supporting nests in the box also helps prevent movement and subsequent damage to nests, and helps to mitigate any fluctuations in humidity or residual nest dampness.

    Although the external structure of many nests is resistant to pest attack, incorporated animal material, such as feathers or feather sheath fragments, is susceptible to damage by museum pests. We mitigate this risk and prevent potential introduction of pests into the vaults from nests by prophylactically treating them for pests prior to long-term storage in vaults. We fumigate nests with aluminium phosphide tablets that release phosphine gas, a non-residual fumigant with no known long-term toxicity effects, and which is also used in grain storage (WHO1988; NIOSH 2011; ILO 2017). Phosphine fumigation avoids potential DNA degradation caused by freeze–thaw cycles (Shao et al. 2012; Soniat 2019). Further, although phosphine is highly toxic to live animals, it does not affect the cell structure of dead or dormant organisms (Nath et al. 2011), and is consequently unlikely to degrade the DNA of museum specimens.

    We employ strict health, safety and environment (HSE) procedures required to avoid staff exposure to dangerous volatile chemicals. All fumigation occurs in a locked, externally vented fumigation room. Access is restricted to trained personnel, who use appropriate personal protective equipment (PPE) including closed-toe shoes, lab coat, a respirator suitable for volatile organic compounds, and goggles. Fumigated nests are ventilated using an extraction fan for 6‒24 h prior to staff entering the fumigation room to remove specimens.

    Prior to final storage in the vaults, we affix nest boxes with thermally printed adhesive labels. Once nests are labelled, their metadata are uploaded in batches from our database and are publicly available via the Atlas of Living Australia (http://www.ala.org.au).

    Despite the protocol that the ANWC now uses for nest collection and curation, our history has led to some nests becoming misshapen over time (see above). In addition to being unsuitable for morphometric research, crushed or misshapen nests can be difficult to sample for trace DNA without inflicting further damage. One potential solution to this problem is to reshape nests with the aid of a humidification chamber. Humidity is widely used to shape and reshape plant- and animal-based materials across a range of applications, including leather shoe making and the restoration of historical objects (Redwood1969; Clark 1984; Morrison 1986; Alper 1993; Wills 2000; Lewis 2005; Cruikshank and Saiz 2009; Jackson and Andrew 2009; Rowe et al. 2018). Humidity is also used by collection managers and conservators to relax and reshape misshapen natural history objects made of natural materials, such as study skins (NHColl listserv, April 2020), although to the best of our knowledge this is an idiosyncratic technique that is not well documented in published literature. We judged that the risk of damage to humidifying misshapen nests should be minimal, as they are constructed primarily of natural materials and are often exposed to high levels of moisture and humidity while active. We subsequently trialled an experimental procedure using an in-house built ultrasonic humidification chamber, in an attempt to permanently reshape 11 nests crushed or damaged by inappropriate long-term storage. If this procedure was successful, then we planned to implement it on any nests crushed or disfigured to a state where their internal contents would be difficult or impossible to sample without further damage.

    We tested humidification as a tool for nest restoration using 11 cup- or dome-shaped nests. The nests were collected in the early 1970s from Papua New Guinea and had been stored compressed together in plastic bags placed in boxes in the ANWC vaults until 2019. One nest (ANWC N00303), with only species metadata, was used for preliminary optimisation of humidification techniques. The other ten nests had metadata that included nest dimensions at the time of collection, which allowed us to assess the efficacy of our restoration to their original shape. All nests were made by small passerines (Table 1). The basic nest metadata can be found through the Atlas of Living Australia at https://biocache.ala.org.au/occurrences/search?q=qid%3A1598416938349.

    Table  1.  ANWC nests used in humidification experiment
    Species ANWC registration number Nest type Nest materials
    Melanocharis longicauda N00325 Dome Moss, plant fibre, fern hairs
    Melidectes belfordi N00324 Cup Plant fibre, grass, stems, green moss, fern hairs
    Microptilotis albonotata N00334 Cup Fine grasses, moss, animal hair, cobwebs, seed plumes
    Microptilotis orientalis N00304 Cup Fine stems, cobwebs, moss, leaflets, seed down
    Pachycephala soror N00290 Cup Rootlets, fine tendrils, ferns, leafy liverworts
    Pycnopygius cinereus N00323 Cup Coarse grasses, leaves, cobweb, lichen, fine grass
    Pycnopygius cinereus N00333 Cup Leaves, fibres, rootlets, fine grass stems
    Rhipidura cockerelli N00303 Cup Fine grass, cobwebs
    Symposiachrus axillaris N00357 Cup Fern stems, fine rootlets, green moss
    Symposiachrus guttula N00315 Cup Green fern fibres, fern rootlets
    Toxorhamphus poliopterus N00299 Cup Algae, cobwebs, cocoons, plant down
    All nests were collected in Papua New Guinea in the 1960s and 70s, and were compressed during storage until the time of the experiment
     | Show Table
    DownLoad: CSV

    We constructed an ultrasonic humidification chamber using readily available, archival materials. The chamber was a 90 L, high-density polyethylene (HDPE) Sistema storage tub, with an upturned HDPE plastic lab tray placed inside as a table for the nests to sit upon (Fig. 2). We inserted a low-density polyethylene (LDPE) plastic tube into the output of a Beurer LB37 cool mist ultrasonic humidifier and connected it to the tub through a snug hole cut into the lid with a Dremel tool. The mist entering the chamber was not allowed to directly hit nests placed inside. Humidity was measured with a suspended Fischer hair hygrometer placed inside the chamber. The dial faced outward so that it could be read when the humidification chamber was in operation (Fig. 2). We used tap water in the humidifier. Ideally, demineralised water would have been preferable to avoid sediment build-up in the humidifier following long-term use. The chamber reached 100% humidity within 3–4 min when the chamber lid was left closed and the humidifier turned on to an output level of 150 mL/h. Once the chamber reached 100% humidity it maintained that level for over 5 h, even after the humidifier was turned off. No water damage to the test nest was sustained when trialling these conditions.

    Figure  2.  Nest humidification chamber. An HDPE 90L Sistema storage container, with a hole drilled in the top to allow humidity from the ultrasonic humidifier to enter. An upturned HDPE tray acts as a table for nests to sit upon and avoid soaking in any water that accumulates on the bottom of the chamber, and a hair hygrometer inside the container allows researchers to monitor humidity without opening the chamber

    Immediately before humidification we measured nest dimensions, so that they could be compared with dimensions after treatment. Specifically, we recorded nest diameter, in two measurements at right angles to each other across the opening or top of the nest to the outer edges of the nest, which could be combined to calculate approximate nest opening area. We also recorded nest depth, from the top of the nest structure to the bottom of the nest. These measurements were chosen because they were also recorded in the field at the time of collection, allowing for comparison to the nest dimensions before compression. All measurements are recorded in the ANWC collection management database and are available to researchers in perpetuity.

    The humidification procedure we used for all nests was as follows: (1) nests were placed on the upside down lab tray in the humidification chamber; (2) the chamber lid was shut, and the humidifier turned on at an output level of 150 mL/h for 3–4 min, which is approximately how long it took the chamber to reach 100% humidity (above); (3) once the hygrometer indicated 100% humidity the humidifier was left to run for 10 min, and then switched off to prevent oversaturation and excess condensation in the chamber; (4) the nests were checked every 30 min, and removed when they were judged to be malleable enough to be reshaped (min 1 h, max 2.5 h, median 1.5 h). Briefly (approximately 5 s) opening the lid to check nests did not affect the humidity of the chamber.

    Once softened by humidity, we nests were gently manipulated nets by hand and then pinned in place on foam boards. We attempted to shape the nests to recreate the original nest dimensions recorded in the field at the time of collection. For dome-shaped nests (n = 1) and for nests that were difficult to pin without potential damage (n = 1), we inserted tissue paper into the nest cup to stabilise its shape. We left nests pinned in position for 10–14 days to "set" the nest in the restored shape (e.g., Alper 1993). We then removed the pins and, when used, tissue paper, and let nests sit for an additional week. This ensured that they were completely dry and allowed enough time to determine if the treatment was successful, or if the nests reverted to the "memory" of their compressed shape. At the end of the entire treatment we re-recorded the dimensions of each dry nest.

    We used several measures to judge the success of nest restoration. Because of the small sample size in this study and the qualitative nature of the restoration (e.g., whether or not nests "looked" better), visual measures of success are probably sufficient to demonstrate that the technique can be successful, and we therefore present before-and-after photos of the nests. We also include graphical representation of their original, compressed, and restored measurements to illustrate the success of humidification in nest restoration. We tested for quantitative differences between original and restored nest shape and examined whether restored nests were more similar to their original dimensions than they had been before undergoing humidification treatment, using paired t tests. All p values are two-tailed, with significance determined at p < 0.05. Analysis was conducted using R and GraphPad (Prism 2015; Wickham 2016). Although this analysis included multiple measures of nest shape, we chose not to apply correction methods such as Bonferroni procedures because they make interpretation of results less clear, increase the chance of type Ⅱ errors, reduce statistical power, and contribute to publication bias (Nakagawa 2004). Instead, we present results so that readers can independently and directly assess test results, and stress that because of the small sample size statistical results should be interpreted together with graphical presentations of the results.

    Treatment in the humidification chamber was successful in relaxing nests to the point where their shape could be manipulated. Nests came out of the chamber feeling softer than when they went in, and damp. Treatment time in the chamber ranged from 1 to 2.5 h (x¯ = 1.68 h ± 0.46 standard deviation, SD), and overall nests made of finer materials such as grass and cobwebs needed less time in the chamber than nests comprised of sturdier materials such as twigs (soft material, n = 7, x¯  = 1.43 h ± 0.35 SD compared to sturdy material, n = 4, x¯  = 2.13 h ± 0.25 SD).

    Humidification allowed us to reshape compressed nests. Visually, nests looked rounder and more upright after restoration, and graphical display of nest measurements demonstrates that the shape of most nests changed to be more similar to their original dimensions after treatment, even though we were not able to restore them to the exact dimensions as before compression (Figs. 3, 4). Restored nest dimensions were significantly smaller than their original dimensions in the field (mean original nest area 84.33 cm2 ± 11.63 standard error of the mean (SEM) vs restored area 68.98 cm2 ± 10.30 SEM; p = 0.0008, t = 4.95, df = 9; mean original nest depth 8.65 cm ± 0.73 SEM vs restored depth 7.45 cm ± 0.57 SEM; p = 0.003, t = 4.00, df = 9; Fig. 5). However, the anterior surface area of restored nests was significantly more similar to their original dimensions than to anterior surface area after years of compression (mean difference between restored and original nests − 15.35 cm2 ± 3.11 SEM vs between restored and compressed nests − 140.78 cm2 ± 21.10 SEM; paired ttest p = 0.0002; t = 5.90, df = 9; Fig. 4). Nest depth varied less than nest area before and after poor storage, and was more difficult to restore (mean difference between restored and original nest depth − 1.2 cm ± 0.30 SEM vs between restored and compressed nest depth 0.55 cm ± 0.60 SEM; p = 0.03, t = 2.45, df = 9; Fig. 4).

    Figure  3.  Before and after photographs of nests reshaped using humidification. Visual inspection of nest shape gives a strong qualitative reflection of the success of restoration
    Figure  4.  Line plots of nest area (cm2) and depth (cm) before compression ("original"), after compression ("compressed"), and after restoration ("restored"). Note that while nests were not restored to their original dimensions, their restored shape tended to be more similar to their original shape than before restoration. Also note that nest area is a rough estimate of nest shape, and changes in nest area may not represent true nest shape (e.g., nest N00323).*Nest N00303 = trial nest without original measurement data
    Figure  5.  Box plot of average nest area (cm2) and depth (cm) before compression ("original"), after compression ("compressed"), and after restoration ("restored"). Restored nest dimensions were significantly smaller than their original dimensions in the field

    The key finding from our study was that nests disfigured by years of substandard storage can be reshaped using humidification. Restored nests did not match their original dimensions once thoroughly dried, but they were more naturally shaped than they were before treatment. The improvement was visually striking. Further, treated nests were more similar to their original dimensions than they were before treatment. Overall, we suggest that humidification has great potential in restoring disfigured nests. Further refinement of this technique could lead to even closer alignment of restored nests with their original dimensions. We believe that the methods outlined here show that even damaged nests can be successfully reshaped, increasing both their aesthetic appeal and their utility in an active research collection.

    Several factors may have contributed to differences between the original dimensions of nests and their restored shapes. Potentially, the physical "memory" of nest materials, which were held compressed for years, may have been too strong to completely overcome (Alper 1993). Indeed, nests did seem to change shape somewhat as they dried, which is why most nests did not ultimately restore to their original shapes despite being pinned to those dimensions. The length of time nests are compressed may also directly affect shape "memory", such that nests stored inappropriately for years may be harder to restore than nests disfigured for only weeks or months. Such possibilities require further investigation. Alternatively, nests may simply have required repeat or longer exposure to humidity to thoroughly dampen the interior of their substrates before pinning (Alper1993). One future option might be to humidify nests, pin them to their original dimensions on a small foam board, and then humidify the nests again, or at multiple stages, before drying completely, to help erase past shape memory. Any future trials would be complimented by daily monitoring of nest dimensions for several weeks after humidification, to better understand the timing and dynamics of nest shape change during the drying period.

    We reshaped nests based on exterior diameter and depth measurements, the only measurements taken in the field at the time of collection. However, other aspects of nest structure, such as nest wall thickness and internal cup dimensions, can also affect overall nest shape, and have measurable effects on nest function (Heenan and Seymour 2011, 2012). Consequently, collecting data on a wide range of interior and exterior nest dimensions in the field at the time of collection is critical going forward, both to capture data that may be important for future research and to assist in future restoration requirements. Future reshaping trials based on a wider range of original nest measurements, varying lengths of time in suboptimal storage, experimentation in the length of time left pinned after drying, and with a larger sample size with more statistical power, will be important in fully understanding the full potential of this method.

    Renewed attention to nest restoration and curation should be matched with growth of nest collections. This will help realise the full scientific potential of these complex and beautiful specimens. Nest voucher specimens and the data derived from them may prove increasingly prescient for topics such as climate change or epidemiology (Cook et al.2020) and the evolution of nest-building itself (Price and Griffiths 2017). Further, given the care necessary not to impact reproductive or social behaviour, expansion of nest collections is effectively another method of sampling bird species for their genetic material. This adds to vertebrate collections with fewer ethical concerns than methods involving humanely killing live animals. For example, museum staff could collaborate with researchers at universities and other institutions who are involved with monitoring or studying nesting birds (e.g., Ralph et al. 1993), so that the nests are collected or subsampled and donated at the end of the attempt or breeding season. Nests so obtained could be of utmost value because they would be associated with a wealth of behavioural and ecological data (Arnold et al. 2017).

    Overall, there are positive signs that nests are starting to receive more and renewed attention by researchers and museum staff for description and museum collection (Simon and Pacheco 2005; Russell et al. 2013; Gonzaga et al. 2016). There is still much about bird nests and nest ecology to be discovered and understood. Studying nest voucher specimens will provide an important avenue to such understanding. This is particularly so now, as rapid changes in technological capabilities for studying nests intersect with mounting anthropogenic changes in the world. Future work in curating, growing, and diversifying existing nest collections using low-impact methodologies will ensure the utility and centrality of nests to museum collections for generations to come.

    Many thanks to the contributions and assistance of Ian Mason, Dick Schodde, Andrew Young and Rob Lanfear.

    TH wrote the manuscript, designed and supervised the humidification project, and analysed the data. NT conducted the humidification experiment, contributed to the manuscript content and created the figures. KW contributed to the manuscript content and contributed photos to Fig. 1. MC provided help with intern oversight, nest metadata, and contributed to the manuscript. LJ provided guidance and manuscript feedback and editorial advice. CH sought funding, founded internship program, provided project oversight, contributed to the manuscript and provided manuscript feedback and editorial advice. All authors read and approved the final manuscript.

    The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

    Not applicable.

    Not applicable.

    The authors declare that they have no competing interests.

  • Avery ML, Cummings JL. Livestock depredations by black vultures and golden eagles. Sheep Goat Res J. 2004;19: 58-63.
    Badingqiuying, Smith AT, Senko J, Siladan MU. Plateau pika Ochotona curzoniae poisoning campaign reduces carnivore abundance in southern Qinghai, China. Mammal Study. 2016;41: 1-8.
    Birdlife International. Bubo bubo (amended version of 2016 assessment). The IUCN Red List of Threatened Species 2017: e. T22688927A113569670. 2017. .
    Birdlife International. Falco cherrug (amended version of 2016 assessment). The IUCN Red List of Threatened Species 2017: e. T22696495A110525916. 2018a. .
    Birdlife International. Buteo hemilasius. The IUCN Red List of Threatened Species 2018: e. T22695967A131937792. 2018b. .
    Birdlife International. Aquila nipalensis (amended version of 2017 assessment). The IUCN Red List of Threatened Species 2019: e. T22696038A155419092. 2019. .
    Bontzorlos VA, Peris SJ, Vlachos CG, Bakaloudis DE. The diet of barn owl in the agricultural landscapes of central Greece. Folia Zool. 2005;54: 99-110.
    Boyer F, Mercier C, Bonin A, Le Bras Y, Taberlet P, Coissac E. Obitools: a unix-inspired software package for DNA metabarcoding. Mol Ecol Resour. 2016;16: 176-82.
    Chen D, Zhang X, Tan X, Wang K, Qiao Y, Chang Y. Hydroacoustic study of spatial and temporal distribution of Gymnocypris przewalskii (Kessler, 1876) in Qinghai Lake, China. Environ Biol Fish. 2009;84: 231-9.
    Cui Q, Su J, Jiang Z. Summer diet of two sympatric species of raptors Upland Buzzard (Buteo hemilasius) and Eurasian Eagle Owl (Bubo bubo) in alpine meadow: problem of coexistence. Pol J Ecol. 2008;56: 173-9.
    Deagle BE, Thomas AC, McInnes JC, Clarke LJ, Vesterinen EJ, Clare EL, et al. Counting with DNA in metabarcoding studies: how should we convert sequence reads to dietary data? Mol Ecol. 2019;28: 391-406.
    Dixon A, Maming R, Gunga A, Purev-Ochir G, Batbayar N. The problem of raptor electrocution in Asia: case studies from Mongolia and China. Bird Conserv Int. 2013;23: 520-9.
    Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32: 1792-7.
    Emmrich M, Düttmann H. Seasonal shifts in diet composition of Great Cormorants Phalacrocorax carbo sinensis foraging at a shallow eutrophic inland lake. Ardea. 2011;99: 207-16.
    Estes JA, Terborgh J, Brashares JS, Power ME, Berger J, Bond WJ, et al. Trophic downgrading of planet earth. Science. 2011;333: 301-6.
    Ewins PJ, Weseloh DV, Groom JH, Dobos RZ, Mineau P. The diet of Herring Gulls (Larus argentatus) during winter and early spring on the lower Great Lakes. Hydrobiologia. 1994;279(280): 39-55.
    Foggin JM. Depopulating the Tibetan grasslands: national policies and perspectives for the future of Tibetan herders in Qinghai Province, China. Mt Res Dev. 2008;28: 26-31.
    Freeland JR. The importance of molecular markers and primer design when characterizing biodiversity from environmental DNA. Genome. 2017;60: 358-74.
    Galan M, Pagès M, Cosson JF. Next-generation sequencing for rodent barcoding: species identification from fresh, degraded and environmental samples. PLoS ONE. 2012;7: e48374.
    Gotelli NJ, Hart EM, Ellison AM. EcoSimR: null model analysis for ecological data. R Package version 0.1.0. 2015. .
    Granjon L, Bruderer C, Cosson JF, Dia AT, Colas F. The small mammal community of a coastal site of south-west Mauritania. Afr J Ecol. 2002;40: 10-7.
    Grier JW. Ban of DDT and subsequent recovery of reproduction in bald eagles. Science. 1982;218: 1232-5.
    Guimaraes S, Fernandez-Jalvo Y, Stoetzel E, Gorgé O, Bennett EA, Denys C, et al. Owl pellets: a wise DNA source for small mammal genetics. J Zool. 2016;298: 64-74.
    Hacker CE, Jevit M, Hussain S, Muhammad G, Munkhtsog B, Munkhtsog B, et al. Regional comparison of snow leopard (Panthera uncia) diet using DNA metabarcoding. Biodivers Conserv. 2021;30: 797-817.
    Hebert PDN, Cywinska A, Ball SL, deWaard JR. Biological identifications through DNA barcodes. Proc R Soc B Biol Sci. 2003;270: 313-21.
    Heck KL, van Belle G, Simberloff D. Explicit calculation of the rarefaction diversity measurement and the determination of sufficient sample size. Ecology. 1975;56: 1459-61.
    Hill MO. Diversity and evenness: a unifying notation and its consequences. Ecology. 1973;54: 427-32.
    Hiraldo F, Andrada J, Parreño F. Diet of the eagle owl (Bubo bubo) in Mediterranean Spain. Doñana Acta Vertebr. 1975;2: 161-77.
    Hsieh TC, Ma KH, Chao A. iNEXT: an R package for rarefaction and extrapolation of species diversity (Hill numbers). Method Ecol Evol. 2016;7: 1451-6.
    Hurlbert SH. The nonconcept of species diversity: a critique and alternative parameters. Ecology. 1971;52: 577-86.
    Iverson SJ, Springer AM, Kitaysky AS. Seabirds as indicators of food web structure and ecosystem variability: qualitative and quantitative diet analyses using fatty acids. Mar Ecol Prog Ser. 2007;352: 235-44.
    Jackson R. Fostering community-based stewardship of wildlife in Central Asia: transforming snow leopards from pests into valued assets. In: Squires VR, editor. Rangeland stewardship in Central Asia. Dordrecht: Springer; 2012. p. 357-80.
    Janečka JE, Jackson R, Yuquang Z, Diqiang L, Munkhtsog B, Buckley-Beason V, et al. Population monitoring of snow leopards using noninvasive collection of scat samples: a pilot study. Anim Conserv. 2008;11: 401-11.
    Janečka JE, Munkhtsog B, Jackson RM, Naranbaatar G, Mallon DP, Murphy WJ. Comparison of noninvasive genetic and camera-trapping techniques for surveying snow leopards. J Mammal. 2011;92: 771-83.
    Jedlicka JA, Vo ATE, Almeida RPP. Molecular scatology and high-throughput sequencing reveal predominately herbivorous insects in the diets of adult and nestling Western Bluebirds (Sialia mexicana) in California vineyards. Auk. 2017;134: 116-27.
    Kartzinel TR, Chen PA, Coverdale TC, Erickson DL, Kress WJ, Kuzmina ML, et al. DNA metabarcoding illuminates dietary niche partitioning by African large herbivores. Proc Natl Acad Sci USA. 2015;112: 8019-24.
    Lai CH, Smith AT. Keystone status of plateau pikas (Ochotona curzoniae): effect of control on biodiversity of native birds. Biodivers Conserv. 2003;12: 1901-12.
    Lamb PD, Hunter E, Pinnegar JK, Creer S, Davies RG, Taylor MI. How quantitative is metabarcoding: a meta-analytical approach. Mol Ecol. 2019;28: 420-30.
    Lei F. A study on diet of the Little Owl (Athene noctua plumipes) in Qishan, Shanxi Province, China. Wuyi Sci J. 1995;12: 136-42 (in Chinese).
    Li L, Yi X, Li M, Zhang X. Diet composition of upland buzzard: analysis on stomach content and food pellet. Zool Res. 2004;25: 162-5 (in Chinese).
    Liu X, Chen B. Climatic warming in the Tibetan Plateau during recent decades. Int J Climatol. 2000;20: 1729-42.
    Liu Y. International hunting and the involvement of local people, Dulan, Qinghai, People's Republic of China. Master's Thesis. Missoula: University of Montana; 1993.
    Marchesi L, Pedrini P, Sergio F. Biases associated with diet study methods in the Eurasian Eagle-Owl. J Raptor Res. 2002;36: 11-6.
    Margalida A, Bertran J, Boudet J. Assessing the diet of nestling Bearded Vultures: a comparison between direct observation methods. J Field Ornithol. 2005;76: 40-5.
    Margalida A, Bertran J, Heredia R. Diet and food preferences of the endangered Bearded Vulture Gypaetus barbatus: a basis for their conservation. Ibis. 2009;151: 235-43.
    Meusnier I, Singer GAC, Landry JF, Hickey DA, Hebert PDN, Hajibabaei M. A universal DNA mini-barcode for biodiversity analysis. BMC Genomics. 2008;9: 214.
    Miller C, McEwen L. Diet of nesting Savannah Sparrows in interior Alaska. J Field Ornithol. 1995;66: 152-8.
    Miller DJ, Bedunah DJ. Rangelands of the Kunlun Mountains in Western China. Rangelands. 1994;16: 71-6.
    Moody T. A method for obtaining food samples from insectivorous birds. Auk. 1970;87: 579.
    Musser GG, Carleton MD. Superfamily Muroidea. In: Wilson D, Reeder D, editors. Mammal species of the world: a taxonomic and geographic reference. 3rd ed. Baltimore: John Hopkins University; 2005. p. 894-1531.
    Oehm J, Thalinger B, Eisenkölbl S, Traugott M. Diet analysis in piscivorous birds: what can the addition of molecular tools offer? Ecol Evol. 2017;7: 1984-95.
    Oksanen J, Blanchet FG, Kindt R, Legendre P, Minchin PR, O'Hara RB, et al. Package vegan: community ecology package. R Package. version 2.3-1. 2013.
    Pianka ER. Niche overlap and diffuse competition. Proc Natl Acad Sci USA. 1974;71: 2141-5.
    Pimm SL, Russell GJ, Gittleman JL, Brooks TM. The future of biodiversity. Science. 1995;269: 347-50.
    Pompanon F, Deagle BE, Symondson WOC, Brown DS, Jarman SN, Taberlet P. Who is eating what: diet assessment using next generation sequencing. Mol Ecol. 2012;21: 1931-50.
    Rasmussen P, Anderson J. Birds of South Asia: the ripley guide. Washington, DC, and Barcelona: Smithsonian Institution and Lynx Edicions; 2005.
    Reading R, Michel S, Amgalanbaatar S. Ovis ammon. The IUCN Red List of Threatened Species 2020: e. T15733A22146397. 2020. .
    Riaz T, Shehzad W, Viari A, Pompanon F, Taberlet P, Coissac E. ecoPrimers: inference of new DNA barcode markers from whole genome sequence analysis. Nucleic Acids Res. 2011;39: e145.
    Sándor AD, Ionescu DT. Diet of the eagle owl (Bubo bubo) in Braşov, Romania. North West J Zool. 2009;5: 170-8.
    Schaller GB. Wildlife of the Tibetan Steppe. Chicago: University of Chicago Press; 1998.
    Schaller GB. Tibet Wild. Washington: Island Press; 2012.
    Schaller GB, Junrang R, Mingjiang Q. Status of the snow Leopard Panthera uncia in Qinghai and Gansu Provinces, China. Biol Conserv. 1988;45: 179-94.
    Schoener TW. Competition and the form of habitat shift. Theor Popul Biol. 1974;6: 265-307.
    Shannon C, Weaver W. The mathematical theory of communication. Urbana: University of Illinois Press; 1949.
    Shehzad W, McCarthy TM, Pompanon F, Purevjav L, Coissac E, Riaz T, et al. Prey preference of snow leopard (Panthera uncia) in South Gobi, Mongolia. PLoS ONE. 2012;7: e32104.
    Shi ZY, Yang CQ, Hao MD, Wang XY, Ward RD, Zhang AB. FuzzyID2: a software package for large data set species identification via barcoding and metabarcoding using hidden Markov models and fuzzy set methods. Mol Ecol Resour. 2018;18: 666-75.
    Simon C, Frati F, Beckenbach A, Crespi B, Liu H, Flook P. Evolution, weighting, and phylogenetic utility of mitochondrial gene sequences and a compilation of conserved polymerase chain reaction primers. Ann Entomol Soc Am. 1994;87: 651-701.
    Simpson EH. Measurement of diversity. Nature. 1949;163: 688.
    Smith AT, Formozov NA, Hoffman RS, Zeng C, Erbajeva MA. The pikas. In: Chapman J, Flux J, editors. Rabbits, hares and pikas. Status survery and conservation action plan. Chapter 3. Gland, Switzerland: IUCN; 1990. pp. 14-60.
    Smith AT, Foggin JM. The plateau pika (Ochotona curzoniae) is a keystone species for biodiversity on the Tibetan plateau. Anim Conserv. 1999;2: 235-40.
    Soergel DAW, Dey N, Knight R, Brenner SE. Selection of primers for optimal taxonomic classification of environmental 16S rRNA gene sequences. ISME J. 2012;6: 1440-4.
    Symondson WOC. Molecular identification of prey in predator diets. Mol Ecol. 2002;11: 627-41.
    Taberlet P, Fumagalli L. Owl pellets as a source of DNA for genetic studies of small mammals. Mol Ecol. 1996;5: 301-5.
    Thiam M, Bâ K, Duplantier JM. Impacts of climatic changes on small mammal communities in the Sahel (West Africa) as evidenced by owl pellet analysis. African Zool. 2008;43: 135-43.
    Tremblay I, Thomas D, Blondel J, Perret P, Lambrechts MM. The effect of habitat quality on foraging patterns, provisioning rate and nestling growth in Corsican Blue Tits Parus caeruleus. Ibis. 2005;147: 17-24.
    Trevelline BK, Nuttle T, Porter BA, Brouwer N, Hoenig BD, Steffensmeier ZD, Latta SC. Stream acidification and reduced migratory prey availablity are associated with dietary shifts in an obligate riparian Neotropical migratory songbird. PeerJ. 2018a;16: e5141.
    Trevelline BK, Nuttle T, Hoenig BD, Brouwer NL, Porter BA, Latta SC. DNA metabarcoding of nestling feces reveals provisioning of aquatic prey and resource partitioning among Neotropical migratory songbirds in a riparian habitat. Oecologia. 2018b;187: 85-98.
    Treves A, Krofel M, McManus J. Predator control should not be a shot in the dark. Front Ecol Environ. 2016;14: 380-8.
    Valera F, Gutiérrez JE, Barrios R. Effectiveness, biases and mortality in the use of apomorphine for determining the diet of granivorous passerines. Condor. 1997;99: 765-72.
    Walter CB, O'Neill E. Electrophoresis in the study of diets and digestive rates of seabirds. Comp Biochem Physiol A Comp Physiol. 1986;84: 763-5.
    Wei WR, He JD, Zheng QY. Plateau pikas (Ochotona curzoniae) at low densities have no destructive effect on winter pasture in alpine meadows. Rangel J. 2020;42: 55-61.
    Wilson RP. An improved stomach pump for penguins and other seabirds. J Field Ornithol. 1984;55: 109-12.
    Xia W, Zhou X, Liu J, Zhang X. The bio-community in the region of alpine meadow. In: Liu J, Wang Z, editors. Alpine meadow ecosystem. Beijing, China: Science Press; 1991. p. 1-7.
    Yang Z, Gong M, Huang X, Li C, Liu X. Biodiversity of birds of prey in Shiqu county. J Sichuan Teach Coll. 2000;21: 137-40 (in Chinese).
    Zhang R, Ludwig A, Zhang C, Tong C, Li G, Tang Y, et al. Local adaptation of Gymnocypris przewalskii (Cyprinidae) on the Tibetan Plateau. Sci Rep. 2015;5: 9780.
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