scholarly journals Inferring microevolution from museum collections and resampling: lessons learned from Cepaea

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3938 ◽  
Author(s):  
Małgorzata Ożgo ◽  
Thor-Seng Liew ◽  
Nicole B. Webster ◽  
Menno Schilthuizen
Keyword(s):  
Natural History ◽  
Common Species ◽  
Land Snail ◽  
Lessons Learned ◽  
General Direction ◽  
Cepaea Nemoralis ◽  
Natural History Collections ◽  
Evolutionary Changes ◽  
Long Term Trends

Natural history collections are an important and largely untapped source of long-term data on evolutionary changes in wild populations. Here, we utilize three large geo-referenced sets of samples of the common European land-snail Cepaea nemoralis stored in the collection of Naturalis Biodiversity Center in Leiden, the Netherlands. Resampling of these populations allowed us to gain insight into changes occurring over 95, 69, and 50 years. Cepaea nemoralis is polymorphic for the colour and banding of the shell; the mode of inheritance of these patterns is known, and the polymorphism is under both thermal and predatory selection. At two sites the general direction of changes was towards lighter shells (yellow and less heavily banded), which is consistent with predictions based on on-going climatic change. At one site no directional changes were detected. At all sites there were significant shifts in morph frequencies between years, and our study contributes to the recognition that short-term changes in the states of populations often exceed long-term trends. Our interpretation was limited by the few time points available in the studied collections. We therefore stress the need for natural history collections to routinely collect large samples of common species, to allow much more reliable hind-casting of evolutionary responses to environmental change.

scholarly journals SwissCollNet – A National Initiative for Natural History Collections in Switzerland

2019 ◽  
Vol 3 ◽  
Author(s):  
Holger Frick ◽  
Pia Stieger ◽  
Christoph Scheidegger
Keyword(s):  
Natural History ◽  
Data Archiving ◽  
Data Infrastructure ◽  
Botanical Gardens ◽  
Natural History Collections ◽  
Common Strategy ◽  
National Initiative ◽  
Educational Potential ◽  
Term Data

More than 60 million specimens are housed in geological and biological collections in numerous museums and botanical gardens located all over Switzerland. They are of national and international origin. Taken together they form an entity with a high scientific value and international recognition for their contribution to scientific research. Due to the federalistic organisation of Switzerland, natural history collections are located and curated in numerous institutions. So far, no common strategy for digitisation, documentation and long-term data archiving has been developed. This shortcoming has been widely identified by concerned parties. Under the lead of the Swiss Academy of Sciences, several organisations have assembled information about Swiss natural history collections. They identified measures to be taken to promote the scientific and educational potential of natural history collections in Switzerland (Beer et al. 2019). With a national initiative, the Swiss Natural History Collections Network (SwissCollNet) aims to unite Swiss natural history collections under a common vision and with a common strategy. The goal is to promote the collections themselves and to harness the scientific and educational potential of these collections for research and training. SwissCollNet consists of representatives of research, teaching, museums and botanical gardens, the data centers for information on the national fauna and flora, the Swiss Systematics Society and the Swiss node of GBIF, the Global Biodiversity Information Facility. The initiative aims to foster research on natural history collections. It will provide a single decentralised data infrastructure framework for Swiss research related to natural history. It will help to harmonise nationwide collection data management, digitisation and long-term data archiving. It will facilitate identification of specimens and revision of taxonomic groups. New research techniques, fast-evolving computer technologies and internet connectivity, create new opportunities for deciphering and using the wealth of information housed in Swiss and international collections. The development of an agreed strategy and research priorities on a national scale will allow fluent, fluid and permanent collaboration across all Swiss natural history collections by promoting interoperability and unified access to collections as well as creating opportunities for scientific collaboration and innovation. This national approach will create an internationally compatible research data infrastructure, while respecting and integrating regional and decentralized conditions and requirements. Thus, it will maximize the impact for science, policy and society.

scholarly journals Rapid Creation of a Data Product for the World's Specimens of Horseshoe Bats and Relatives, a Known Reservoir for Coronaviruses

2020 ◽  
Vol 4 ◽  
Author(s):  
Erica Krimmel ◽  
Austin Mast ◽  
Deborah Paul ◽  
Robert Bruhn ◽  
Nelson Rios ◽  
...  
Keyword(s):  
Natural History ◽  
Life Histories ◽  
Lessons Learned ◽  
Reproducible Research ◽  
State University ◽  
Biodiversity Data ◽  
Global Biodiversity Information Facility ◽  
Data Product ◽  
Natural History Collections ◽  
Horseshoe Bats

Genomic evidence suggests that the causative virus of COVID-19 (SARS-CoV-2) was introduced to humans from horseshoe bats (family Rhinolophidae) (Andersen et al. 2020) and that species in this family as well as in the closely related Hipposideridae and Rhinonycteridae families are reservoirs of several SARS-like coronaviruses (Gouilh et al. 2011). Specimens collected over the past 400 years and curated by natural history collections around the world provide an essential reference as we work to understand the distributions, life histories, and evolutionary relationships of these bats and their viruses. While the importance of biodiversity specimens to emerging infectious disease research is clear, empowering disease researchers with specimen data is a relatively new goal for the collections community (DiEuliis et al. 2016). Recognizing this, a team from Florida State University is collaborating with partners at GEOLocate, Bionomia, University of Florida, the American Museum of Natural History, and Arizona State University to produce a deduplicated, georeferenced, vetted, and versioned data product of the world's specimens of horseshoe bats and relatives for researchers studying COVID-19. The project will serve as a model for future rapid data product deployments about biodiversity specimens. The project underscores the value of biodiversity data aggregators iDigBio and the Global Biodiversity Information Facility (GBIF), which are sources for 58,617 and 79,862 records, respectively, as of July 2020, of horseshoe bat and relative specimens held by over one hundred natural history collections. Although much of the specimen-based biodiversity data served by iDigBio and GBIF is high quality, it can be considered raw data and therefore often requires additional wrangling, standardizing, and enhancement to be fit for specific applications. The project will create efficiencies for the coronavirus research community by producing an enhanced, research-ready data product, which will be versioned and published through Zenodo, an open-access repository (see doi.org/10.5281/zenodo.3974999). In this talk, we highlight lessons learned from the initial phases of the project, including deduplicating specimen records, standardizing country information, and enhancing taxonomic information. We also report on our progress to date, related to enhancing information about agents (e.g., collectors or determiners) associated with these specimens, and to georeferencing specimen localities. We seek also to explore how much we can use the added agent information (i.e., ORCID iDs and Wikidata Q identifiers) to inform our georeferencing efforts and to support crediting those collecting and doing identifications. The project will georeference approximately one third of our specimen records, based on those lacking geospatial coordinates but containing textual locality descriptions. We furthermore provide an overview of our holistic approach to enhancing specimen records, which we hope will maximize the value of the bat specimens at the center of what has been recently termed the "extended specimen network" (Lendemer et al. 2020). The centrality of the physical specimen in the network reinforces the importance of archived materials for reproducible research. Recognizing this, we view the collections providing data to iDigBio and GBIF as essential partners, as we expect that they will be responsible for the long-term management of enhanced data associated with the physical specimens they curate. We hope that this project can provide a model for better facilitating the reintegration of enhanced data back into local specimen data management systems.

scholarly journals Long-Term Trends in Small Mammals on a Right-of-Way in Pennsylvania, U.S.

2007 ◽  
Vol 33 (2) ◽  
pp. 147-152
Author(s):  
Richard Yahner ◽  
Richard Yahner ◽  
Russell Hutnik
Keyword(s):  
Small Mammals ◽  
Forest Cover ◽  
Common Species ◽  
The State ◽  
Mammal Species ◽  
Right Of Way ◽  
Live Trapping ◽  
Long Term Trends

The State Game Lands 33 Research and Demonstration Area, Centre County, Pennsylvania, U.S., has been studied since 1953 with the objective of comparing the effectiveness of commonly used mechanical and herbicidal maintenance treatments on vegetation and wildlife on a right-of-way (ROW). Small mammals are important wildlife species on a ROW by consuming tree seeds, thereby reducing invasion of undesirable tree species, and these mammals are important components of a healthy ecosystem. As a follow up to a 2-year study of small mammals conducted 15 years earlier (1989 to 1990) on the State Game Lands 33 ROW, we initiated a 2-year live-trapping study in 2004 on small mammal populations on this ROW. The objectives of our study were to determine relative abundance and species richness (number of species) in six major cover types and in the adjacent forest. One hundred twenty-one individuals of eight species were observed in 2004 and 2005 combined; the most common species was the white-footed mouse (Peromyscus leucopus). One of the most important cover types to small mammals on the ROW was forb-grass, whereas the forest cover type tended to be less diverse in terms of number of mammal species than in cover types on the ROW.

scholarly journals Assessing the Value of Natural History Collections and Addressing Issues Regarding Long-Term Growth and Care

BioScience ◽  
2014 ◽  
Vol 64 (12) ◽  
pp. 1150-1158 ◽  
Author(s):  
Robert D. Bradley ◽  
Lisa C. Bradley ◽  
Heath J. Garner ◽  
Robert J. Baker
Keyword(s):  
Natural History ◽  
Natural History Collections

scholarly journals The development of a digitising service centre for natural history collections

ZooKeys ◽  
2012 ◽  
Vol 209 ◽  
pp. 75-86 ◽  
Author(s):  
Riitta Tegelberg ◽  
Jaana Haapala ◽  
Tero Mononen ◽  
Mika Pajari ◽  
Hannu Saarenmaa
Keyword(s):  
Natural History ◽  
Large Scale ◽  
Data Entry ◽  
Imaging Data ◽  
Long Term Storage ◽  
Service Centre ◽  
Natural History Collections ◽  
Darwin Core ◽  
The University

Digitarium is a joint initiative of the Finnish Museum of Natural History and the University of Eastern Finland. It was established in 2010 as a dedicated shop for the large-scale digitisation of natural history collections. Digitarium offers service packages based on the digitisation process, including tagging, imaging, data entry, georeferencing, filtering, and validation. During the process, all specimens are imaged, and distance workers take care of the data entry from the images. The customer receives the data in Darwin Core Archive format, as well as images of the specimens and their labels. Digitarium also offers the option of publishing images through Morphbank, sharing data through GBIF, and archiving data for long-term storage. Service packages can also be designed on demand to respond to the specific needs of the customer. The paper also discusses logistics, costs, and intellectual property rights (IPR) issues related to the work that Digitarium undertakes.

scholarly journals Use of European Open Science Cloud and National e-Infrastructures for the Long-Term Storage of Digitised Assets from Natural History Collections

2019 ◽  
Vol 3 ◽  
Author(s):  
Abraham Nieva de la Hidalga ◽  
Nicolas Cazenave ◽  
Donat Agosti ◽  
Zhengzhe Wu ◽  
Mathias Dillen ◽  
...  
Keyword(s):  
Natural History ◽  
Open Science ◽  
Easy Access ◽  
Long Term Storage ◽  
Natural History Collections ◽  
Herbarium Collections ◽  
Access Services ◽  
Term Storage ◽  
Biodiversity Information

Digitisation of Natural History Collections (NHC) has evolved from transcription of specimen catalogues in databases to web portals providing access to data, digital images, and 3D models of specimens. These portals increase global accessibility to specimens and help preserve the physical specimens by reducing their handling. The size of the NHC requires developing high-throughput digitisation workflows, as well as research into novel acquisition systems, image standardisation, curation, preservation, and publishing. Nowadays, herbarium sheet digitisation workflows (and fast digitisation stations) can digitise up to 6,000 specimens per day. Operating those digitisation stations in parallel, can increase the digitisation capacity. The high-resolution images obtained from these specimens, and their volume require substantial bandwidth, and disk space and tapes for storage of original digitised materials, as well as availability of computational processing resources for generating derivatives, information extraction, and publishing. While large institutions have dedicated digitisation teams that manage the whole workflow from acquisition to publishing, other institutions cannot dedicate resources to support all digitisation activities, in particular long-term storage. National and European e-infrastructures can provide an alternative solution by supporting different parts of the digitisation workflows. In the context of the Innovation and consolidation for large scale digitisation of natural heritage (ICEDIG Project 2018), three different e-infrastructures providing long-term storage have been analysed through three pilot studies: EUDAT-CINES, Zenodo, and National Infrastructures. The EUDAT-CINES pilot centred on transferring large digitised herbarium collections from the National Museum of Natural History France (MNHN) to the storage infrastructure provided by the Centre Informatique National de l’Enseignement Supérieur (CINES 2014), a European trusted digital repository. The upload, processing, and access services are supported by a combination of services provided by the European Collaborative Data Infrastructure (EUDAT CDI 2019) and CINES . The Zenodo pilot included the upload of herbarium collections from Meise Botanic Garden (APM) and other European herbaria into the Zenodo repository (Zenodo 2019). The upload, processing and access services are supported by Zenodo services, accessed by APM. The National Infrastructures pilot facilitated the upload of digital assets derived from specimens of herbarium and entomology collections held at the Finnish Museum of Natural History (LUOMUS) into the Finnish Biodiversity Information Facility (FinBIF 2019). This pilot concentrates on simplifying the integration of digitisation facilities to Finnish national e-infrastructures, using services developed by LUOMUS to access FinBIF resources. The data models employed in the pilots allow defining data schemas according to the types of collection and specimen images stored. For EUDAT-CINES, data were composed of the specimen data and its business metadata (those the institution making the deposit, in this case MNHN, considers relevant for the data objects being stored), enhanced by archiving metadata, added during the archiving process (institution, licensing, identifiers, project, archiving date, etc). EUDAT uses ePIC identifiers (ePIC 2019) to identify each deposit. The Zenodo pilot was designed to allow defining specimen data and metadata supporting indexing and access to resources. Zenodo uses DataCite Digital Object Identifiers (DOI) and the underlying data types as the main identifiers for the resources, augmented with fields based on standard TDWG vocabularies. FinBIF compiles Finnish biodiversity information to one single service for open access sharing. In FinBIF, HTTP URI based identifiers are used for all data, which link the specimen data with other information, such as images. The pilot infrastructure design reports describe features, capacities, functions and costs for each model, in three specific contexts are relevant for the implementation of the Distributed Systems of Scientific Collections (DiSSCo 2019) research infrastructure, informing the options for long-term storage and archiving digitised specimen data. The explored options allow preservation of assets and support easy access. In a wider context, the results provide a template for service evaluation in the European Open Science Cloud (EOSC 2019) which can guide similar efforts.

scholarly journals Engaging K-12 Audiences with Biodiversity Data through Advancing Digitization for Biodiversity Collections

2018 ◽  
Vol 2 ◽  
pp. e26473
Author(s):  
Molly Phillips ◽  
Anne Basham ◽  
Marc Cubeta ◽  
Kari Harris ◽  
Jonathan Hendricks ◽  
...  
Keyword(s):  
Natural History ◽  
The United States ◽  
Lessons Learned ◽  
Educational Resources ◽  
Digital Data ◽  
Science Standards ◽  
Global Biodiversity Information Facility ◽  
Digital Collections ◽  
Natural History Collections ◽  
K 12

Natural history collections around the world are currently being digitized with the resulting data and associated media now shared online in aggregators such as the Global Biodiversity Information Facility and Integrated Digitized Biocollections (iDigBio). These collections and their resources are accessible and discoverable through online portals to not only researchers and collections professionals, but to educators, students, and other potential downstream users. Primary and secondary education (K-12) in the United States is going through its own revolution with many states adopting Next Generation Science Standards (NGSS https://www.nextgenscience.org/). The new standards emphasize science practices for analyzing and interpreting data and connect to cross-cutting concepts such as cause and effect and patterns. NGSS and natural history collections data portals seem to complement each other. Nevertheless, many educators and students are unaware of the digital resources available or are overwhelmed with working in aggregated databases created by scientists. To better address this challenge, participants within the National Science Foundation Advancing Digitization for Biodiversity Collections program (ADBC) have been working to increase awareness of, and scaffold learning for, digitized collections with K-12 educators and learners. They are accomplishing this through individual programs at institutions across the country as part of the Thematic Collections Networks and collaboratively through the iDigBio Education and Outreach Working Group. ADBC partners have focused on incorporating digital data and resources into K-12 classrooms through training workshops and webinars for both educators and collections professionals, as well as through creating educational resources, websites, and applications that use digital collections data. This presentation includes lessons learned from engaging K-12 audiences with digital data, summarizes available resources for both educators and collections professionals, shares how to become involved, and provides ways to facilitate transfer of educational resources to the K-12 community.

scholarly journals Natural history collections recapitulate 200 years of faunal change

2021 ◽  
Vol 8 (4) ◽  
Author(s):  
Christine Ewers-Saucedo ◽  
Andreas Allspach ◽  
Christina Barilaro ◽  
Andreas Bick ◽  
Angelika Brandt ◽  
...  
Keyword(s):  
Natural History ◽  
Cross Validation ◽  
Marine Invertebrate ◽  
Species Introductions ◽  
Faunal Change ◽  
Invertebrate Species ◽  
The North ◽  
Natural History Collections ◽  
Biodiversity Changes

Changing species assemblages represent major challenges to ecosystems around the world. Retracing these changes is limited by our knowledge of past biodiversity. Natural history collections represent archives of biodiversity and are therefore an unparalleled source to study biodiversity changes. In the present study, we tested the value of natural history collections for reconstructing changes in the abundance and presence of species over time. In total, we scrutinized 17 080 quality-checked records for 242 epibenthic invertebrate species from the North and Baltic Seas collected throughout the last 200 years. Our approaches identified eight previously reported species introductions, 10 range expansions, six of which are new to science, as well as the long-term decline of 51 marine invertebrate species. The cross-validation of our results with published accounts of endangered species and neozoa of the area confirmed the results for two of the approaches for 49 to 55% of the identified species, and contradicted our results for 9 to 10%. The results based on relative record trends were less validated. We conclude that, with the proper approaches, natural history collections are an unmatched resource for recovering early species introductions and declines.

scholarly journals Inferring microevolution from museum collections and resampling: lessons learned from Cepaea

2016 ◽  
Author(s):  
Małgorzata Ożgo ◽  
Thor-Seng Liew ◽  
Nicole B Webster ◽  
Menno Schilthuizen
Keyword(s):  
Land Snail ◽  
Evolutionary Change ◽  
Lessons Learned ◽  
Evolutionary Trends ◽  
Frequency Distributions ◽  
The Past ◽  
Contemporary Sample ◽  
Evolutionary Response ◽  
Historical Sample

Studies documenting Human-Induced Rapid Evolutionary Change (HIREC) routinely compare contemporary allele or morph frequency distributions with historical baselines. All too often, this involves the re-sampling of a population that was sampled at a single time point in the past. However, year-to-year fluctuations in magnitude and direction of evolutionary response may make such studies prone to erroneous conclusions, where long-term evolutionary trends are inferred from what in fact are short-term fluctuations. Here, we explore this problem by re-sampling three Dutch populations of the land snail Cepaea nemoralis, whose shell colour polymorphism is known to be under thermal and predatory selection. Each of these three populations was originally sampled in at least two different years in the past. We show that conclusions on evolutionary change are strongly dependent on which of the historical sample dates is used for comparison with the contemporary sample. Our study highlights the fact that year-to-year variation in allele frequencies may often be so strong that a simple two-point comparison is unreliable to detect long-term evolutionary trends.

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