Trophic requirements beyond foraging habitats: The importance of prey source habitats in bat conservation

Arrizabalaga‐Escudero, Aitor; Garin, Iñazio; García-Mudarra, Juan L.; Alberdi, Antton; Aihartza, Joxerra; Goiti, Urtzi

doi:10.1016/j.biocon.2015.07.043

Cited by 48 publications

(41 citation statements)

References 66 publications

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“…Metabarcoding studies, based on the analysis of DNA extracts from homogenized mass samples (‘biodiversity soup’), do not enhance the reference database and cannot be validated, because it is usually not possible to re-extract DNA from the bulk sample or single specimens. While metabarcoding is improving our capacity to address ecological questions in work targeting specific communities (e.g., Arrizabalaga-Escudero et al 2015, Mollot et al 2014), taxonomic assignments for most sequences is only possible in environments with low taxonomic diversity. For example, because species diversity is relatively low in freshwater ecosystems, metabarcoding has been quite successful in these settings (Elbrecht and Leese 2015, Dowle et al 2015, Valentini et al 2016).…”

Section: Discussionmentioning

confidence: 99%

Testing the Global Malaise Trap Program – How well does the current barcode reference library identify flying insects in Germany?

Geiger¹,

Morinière²,

Hausmann³

et al. 2016

BDJ

101

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BackgroundBiodiversity patterns are inherently complex and difficult to comprehensively assess. Yet, deciphering shifts in species composition through time and space are crucial for efficient and successful management of ecosystem services, as well as for predicting change. To better understand species diversity patterns, Germany participated in the Global Malaise Trap Program, a world-wide collection program for arthropods using this sampling method followed by their DNA barcode analysis. Traps were deployed at two localities: “Nationalpark Bayerischer Wald” in Bavaria, the largest terrestrial Natura 2000 area in Germany, and the nature conservation area Landskrone, an EU habitats directive site in the Rhine Valley. Arthropods were collected from May to September to track shifts in the taxonomic composition and temporal succession at these locations.New informationIn total, 37,274 specimens were sorted and DNA barcoded, resulting in 5,301 different genetic clusters (BINs, Barcode Index Numbers, proxy for species) with just 7.6% of their BINs shared. Accumulation curves for the BIN count versus the number of specimens analyzed suggest that about 63% of the potential diversity at these sites was recovered with this single season of sampling. Diversity at both sites rose from May (496 & 565 BINs) to July (1,236 & 1,522 BINs) before decreasing in September (572 & 504 BINs). Unambiguous species names were assigned to 35% of the BINs (1,868) which represented 12,640 specimens. Another 7% of the BINs (386) with 1,988 specimens were assigned to genus, while 26% (1,390) with 12,092 specimens were only placed to a family. These results illustrate how a comprehensive DNA barcode reference library can identify unknown specimens, but also reveal how this potential is constrained by gaps in the quantity and quality of records in BOLD, especially for Hymenoptera and Diptera. As voucher specimens are available for morphological study, we invite taxonomic experts to assist in the identification of unnamed BINs.

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Section: Discussionmentioning

confidence: 99%

Testing the Global Malaise Trap Program – How well does the current barcode reference library identify flying insects in Germany?

Geiger¹,

Morinière²,

Hausmann³

et al. 2016

BDJ

101

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“…Another critical consideration is the geographical and temporal scale required to address the scientific question (Figure ). Geographic and temporal variation in trophic interactions is very common (e.g., Arrizabalaga‐Escudero et al, ; Clare, Barber, Sweeney, Hebert, & Fenton, ), thus studies that aim to generalize their results to be representative to a larger organismal group or explain global ecological processes need to account for such variation to avoid biased results. For example, when characterizing the dietary niche of a species, it is important to collect samples over a large geographic range, so as to avoid biases driven by local peculiarities (Aizpurua et al, ).…”

Section: Designing a Dna Sequencing‐based Diet Studymentioning

confidence: 99%

Promises and pitfalls of using high‐throughput sequencing for diet analysis

Alberdi

Aizpurua

Bohmann

et al. 2018

Molecular Ecology Resources

Self Cite

180

195

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The application of high‐throughput sequencing‐based approaches to DNA extracted from environmental samples such as gut contents and faeces has become a popular tool for studying dietary habits of animals. Due to the high resolution and prey detection capacity they provide, both metabarcoding and shotgun sequencing are increasingly used to address ecological questions grounded in dietary relationships. Despite their great promise in this context, recent research has unveiled how a wealth of biological (related to the study system) and technical (related to the methodology) factors can distort the signal of taxonomic composition and diversity. Here, we review these studies in the light of high‐throughput sequencing‐based assessment of trophic interactions. We address how the study design can account for distortion factors, and how acknowledging limitations and biases inherent to sequencing‐based diet analyses are essential for obtaining reliable results, thus drawing appropriate conclusions. Furthermore, we suggest strategies to minimize the effect of distortion factors, measures to increase reproducibility, replicability and comparability of studies, and options to scale up DNA sequencing‐based diet analyses. In doing so, we aim to aid end‐users in designing reliable diet studies by informing them about the complexity and limitations of DNA sequencing‐based diet analyses, and encourage researchers to create and improve tools that will eventually drive this field to its maturity.

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“…The agricultural and forest vegetation provided food for all season especially for insectivorous bats and fruit bats. Research conducted by Arrizabalaga et al (2015) in Karrantza Valley, northern Iberian Peninsula, proved that each type of insectivorous bats required most of all specific phase of insects as the main food for bats in line with the growth stage of the bat. Therefore, the existence of insectivorous bats in a habitat not only depended on the availability of different types of insects as a food source but also the availability of insects with different phases of development throughout the season.…”

Section: The Biodiversity and The Pattern Of Bat Nest Distributionmentioning

confidence: 99%

Diversity and pattern of nest preference of bat species at bat-dwelling caves in Gombong Karst, Central Java, Indonesia

Wijayanti

Maryanto

2017

Biodiversitas

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Abstract. Wijayanti F, Maryanto I. 2017 Diversity and pattern of nest preference of bat species at bat-dwelling caves in Gombong Karst, Central Java,. A study on the diversity of bat species, their community structure and pattern of roosting preference, has been conducted in twelve caves in Gombong Karst, Central Java. Bats were caught at the roosting place during the day. Length, width, and height of cave passage were measured, as well as a number of entrances and cave's ventilation were also calculated. In addition, microclimate parameters were measured under the bat roosts. Data were analyzed by ANOVA, Redundancy analysis (RDA) and canonical correspondence analysis (CCA). Fifteen species (eleven species of insectivorous bats and four species of fruit bats) were recorded. The result also shows that the length, height, and width of the cave passage influenced the community structure of bats. While the other physical factors, i.e. sound intensity, distance from the cave entrance, temperature, humidity, and light intensity influence the bat nesting preference. Furthermore, there were five groups of bats which have a specific pattern of roosting preference.

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Trophic requirements beyond foraging habitats: The importance of prey source habitats in bat conservation

Cited by 48 publications

References 66 publications

Testing the Global Malaise Trap Program – How well does the current barcode reference library identify flying insects in Germany?

Testing the Global Malaise Trap Program – How well does the current barcode reference library identify flying insects in Germany?

Promises and pitfalls of using high‐throughput sequencing for diet analysis

Diversity and pattern of nest preference of bat species at bat-dwelling caves in Gombong Karst, Central Java, Indonesia

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