By Eli Yudin Published: November 13th, 2024

Named Bathydevius caudactylus, the new species is bioluminescent and represents the third independent origin of bioluminescence among sea slugs.

The post New Species of Bioluminescent Sea Slug Discovered appeared first on Sci.News: Breaking Science News.

The mystery mollusc has been identified

Arrival of hyenas, jackals, marsh crocodiles, and palm civets raise species count to 94

Further excavations may reveal how ancient human populations likely interacted with each other, researchers say

Aim/Purpose: This research investigated the determinant factors influencing the adoption intentions of Chatsicum, a Knowledge-Based Chatbot (KBC) aimed at enhancing the species literacy of biodiversity students. Background: This research was conducted to bridge the gap between technology, education, and biodiversity conservation. Innovative solutions are needed to empower individuals with knowledge, particularly species knowledge, in preserving the natural world. Methodology: The study employed a quantitative approach using the Partial Least Square Structural Equation Modeling (PLS-SEM) and sampled 145 university students as respondents. The research model combined the Task-Technology Fit (TTF) framework with elements from the Diffusion of Innovation (DOI), including relative advantage, compatibility, complexity, and observability. Also, the model introduced perceived trust as an independent variable. The primary dependent variable under examination was the intention to use the KBC. Contribution: The findings of this research contribute to a deeper understanding of the critical factors affecting the adoption of the KBC in biodiversity education and outreach, as studies in this context are limited. This study provides valuable insights for developers, educators, and policymakers interested in promoting species literacy and leveraging innovative technologies by analyzing the interplay of TTF and DOI constructs alongside perceived trust. Ultimately, this research aims to foster more effective and accessible biodiversity education strategies. Findings: TTF influenced all DOI variables, such as relative advantage, compatibility, observability, and trust positively and complexity negatively. In conclusion, TTF strongly affected usage intention indirectly. However, relative advantage, complexity, and observability insignificantly influenced the intention to use. Meanwhile, compatibility and trust strongly affected the use intention. Recommendations for Practitioners: Developers should prioritize building and maintaining chatbots that are aligned with the tasks, needs, and goals of the target users, as well as establishing trust through the assurance of information accuracy. Educators could develop tailored educational interventions that resonate with the values and preferences of diverse learners and are aligned closely with students’ learning needs, preferences, and curriculum while ensuring seamless integration with the existing educational context. Conservation organizations and policymakers could also utilize the findings of this study to enhance their outreach strategies, as the KBC is intended for students and biodiversity laypeople. Recommendation for Researchers: Researchers should explore the nuances of relationships between TTF and DOI, as well as trust, and consider the potential influence of mediating and moderating variables to advance the field of technology adoption in educational contexts. Researchers could also explore why relative advantage, complexity, and observability did not significantly impact the usage intention and whether specific user segments or contextual factors influence these relationships. Impact on Society: This research has significant societal impacts by improving species literacy, advancing technology in education, and promoting conservation efforts. Species knowledge could raise awareness regarding biodiversity and the importance of conservation, thereby leading to more informed and responsible citizens. Future Research: Future works should address the challenges and opportunities presented by KBCs in the context of species literacy enhancement, for example, interventions or experiments to influence the non-significant factors. Furthermore, longitudinal studies should investigate whether user behavior evolves. Ultimately, examining the correlation between species literacy, specifically when augmented by chatbots, and tangible conservation practices is an imperative domain in the future. It may entail evaluating the extent to which enhanced knowledge leads to concrete measures promoting biodiversity preservation.

Research in Nature Climate Change uses data on 50,000 common plants and animals to predict worldwide range losses without urgent action to limit emissions

Climate change could dramatically reduce the geographic ranges of thousands of common plant and animal species during this century, according to research using data made freely available online through GBIF.
The information on the current location of common species of plants, mammals, birds, reptiles and amphibians was taken from around 170 million individual data records published freely online through GBIF by some 200 different institutions around the world. The records include museum specimens, data from scientific expeditions and the observations of thousands of volunteer ‘citizen scientists’.
One of the co-authors of the study, Jeff Price of the University of East Anglia’s School of Environmental Sciences, United Kingdom, said: "Without free and open access to massive amounts of data such as those made available online through GBIF, no individual researcher is able to contact every country, every museum, every scientist holding the data and pull it all together. So this research would not be possible without GBIF and its global community of researchers and volunteers who make their data freely available."
The lead author of the study, Dr Rachel Warren, also from UEA’s School of Environmental Sciences and the Tyndall Centre, said: "While there has been much research on the effect of climate change on rare and endangered species, little has been known about how an increase in global temperature will affect more common species."Our research predicts that climate change will greatly reduce the diversity of even very common species found in most parts of the world. This loss of global-scale biodiversity would significantly impoverish the biosphere and the ecosystem services it provides. The good news is that our research provides crucial new evidence of how swift action to reduce CO2 and other greenhouse gases can prevent the biodiversity loss by reducing the amount of global warming to 2 degrees Celsius rather than 4 degrees. This would also buy time – up to four decades - for plants and animals to adapt to the remaining 2 degrees of climate change."

Researchers and the public can now have immediate access to data underlying discovery of new species of life on Earth, under a new streamlined system linking taxonomic research with open data publication.

The partnership paves the way for unlocking and preserving a wealth of 'small data' backing up research conclusions, which often become lost within a few years of an article's publication in an academic journal.

In the first example of the new collaboration in action, the Biodiversity Data Journal carries a peer-reviewed description of a new species of spider discovered during a field course in Borneo just one month ago. At the same time, the data showing location of the spider's occurrence in nature are automatically harvested by the Global Biodiversity Information Facility (GBIF), and richer data such as images and the species description are exported to the Encyclopedia of Life (EOL).

This contrasts with an average 'shelf life' of twenty-one years between field discovery of a new species and its formal description and naming, according to a recent study in Current Biology.

A group of scientists and students discovered the new species of spider during a field course in Borneo, supervised by Jeremy Miller and Menno Schilthuizen from the Naturalis Biodiversity Center, based in Leiden, the Netherlands. The species was described and submitted online from the field to the Biodiversity Data Journal through a satellite internet connection, along with the underlying data . The manuscript was peer-reviewed and published within two weeks of submission. On the day of publication, GBIF and EOL have harvested and included the data in their respective platforms.

The new workflow established between GBIF, EOL and Pensoft Publishers' Biodiversity Data Journal, with the support of the Swiss NGO Plazi, automatically exports treatment and occurrence data into a Darwin Core Archive, a standard format used by GBIF and other networks to share data from many different sources. This means GBIF can extract these data on the day of the article's publication, making them immediately available to science and the public through its portal and web services, further enriching the biodiversity data already freely accessible through the GBIF network. Similarly, the information and multimedia resources become accessible via EOL's species pages.

One of the main purposes of the partnership is to ensure that such data remain accessible for future use in research. A recent study published in Current Biology found that 80 % of scientific data are lost in less than 10 years following their creation.

Donald Hobern, GBIF's Executive Secretary, commented: "A great volume of extremely important information about the world's species is effectively inaccessible, scattered across thousands of small datasets carefully curated by taxonomic researchers. I find it very exciting that this new workflow will help preserve these 'small data' and make them immediately available for re-use through our networks."

"Re-use of data published on paper or in PDF format is a huge challenge in all branches of science", said Prof. Lyubomir Penev, managing director of Pensoft and founder of the Biodiversity Data Journal. "This problem has been tackled firstly by our partners from Plazi who created a workflow to extract data from legacy literature and submit it to GBIF. The workflow currently launched by GBIF, EOL and the Biodiversity Data Journal radically shortens the way from publication of data to their sharing and re-use and makes the whole process cost efficient", added Prof. Penev.

The elaboration of the workflow from BDJ and Plazi to GBIF through Darwin Core Archive was supported by the EU-funded project EU BON (Building the European Biodiversity Observation Network, grant No 308454). The basic concept has been initially discussed and outlined in the course of the pro-iBiosphere project (Coordination and policy development in preparation for a European Open Biodiversity Knowledge Management System, addressing Acquisition, Curation, Synthesis, Interoperability and Dissemination, grant No 312848).

Original source:

Miller J, Schilthuizen M, Burmester J, van der Graaf L, Merckx V, Jocqué M, Kessler P, Fayle T, Breeschoten T, Broeren R, Bouman R, Chua W, Feijen F, Fermont T, Groen K, Groen M, Kil N, de Laat H, Moerland M, Moncoquet C, Panjang E, Philip A, Roca-Eriksen R, Rooduijn B, van Santen M, Swakman V, Evans M, Evans L, Love K, Joscelyne S, Tober A, Wilson H, Ambu L, Goossens B (2014) Dispatch from the field: ecology of micro web-building spiders with description of a new species. Biodiversity Data Journal 2: e1076. DOI: 10.3897/BDJ.2.e1076

Four papers on species traits have been recently published in ZooKeys, Ecology and Ecology, Evolution and the Biodiversity Data Journal respectivelly covering data on the butterflies in Europe, birds and mammals of the world, the terrestrial mammals of the world and marine polychaetes.

Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65–84. doi: 10.3897/zookeys.367.6185 Resource ID: GBIF key: http://www.gbif.org/dataset/e2bcea8c-dfea-475e-a4ae-af282b4ea1c5

Hamish Wilman, Jonathan Belmaker, Jennifer Simpson, Carolina de la Rosa, Marcelo M. Rivadeneira, and Walter Jetz. 2014. EltonTraits 1.0: Species-level foraging attributes of the world's birds and mammals. Ecology 95:2027. http://dx.doi.org/10.1890/13-1917.1

Kissling, W. D., Dalby, L., Fløjgaard, C., Lenoir, J., Sandel, B., Sandom, C., Trøjelsgaard, K. and Svenning, J.-C. (2014), Establishing macroecological trait datasets: digitalization, extrapolation, and validation of diet preferences in terrestrial mammals worldwide. Ecology and Evolution. doi: 10.1002/ece3.1136

Faulwetter S, Markantonatou V, Pavloudi C, Papageorgiou N, Keklikoglou K, Chatzinikolaou E, Pafilis E, Chatzigeorgiou G, Vasileiadou K, Dailianis T, Fanini L, Koulouri P, Arvanitidis C (2014) Polytraits: A database on biological traits of marine polychaetes. Biodiversity Data Journal 2: e1024. DOI: 10.3897/BDJ.2.e1024

An innovative workflow reveals new research potential of the Barcode of Life Data Systems (BOLD). A recently published article in the Biodiversity Data Journal (BDJ) used specimen records downloaded from BOLD in tabular format and imported these into a human-readable text developed in manuscript within the Pensoft Writting Tool (PWT). Data were used to study the species distributions of ten Nearctic species of braconid wasps from the Microgastrinae subfamily.

BOLD is originally designed to support the generation and application of DNA barcode data. However, the repository also holds unexplored treasures of additional data that provide unique potential for many other research uses.

Currently almost 4 million sequences (over 3.4 million of them DNA barcodes) are stored in BOLD, including coverage for more than 143K animal species, 53K plant species, and 16K fungi and other species, and this impressive storage of information is continuing to grow every day.

A team of researchers, led by Dr Jose Fernandez-Triana from the University of Guelph, Canada, have now explored how the unique amount of data stored on the BOLD platform can be utilised for new research purposes. Choosing tiny parasitic wasps for their case study they selected a sample of 630 specimens and 10 North American species. Data stored on BOLD were then used to uncover a significant number of new records of locality, provinces, territories and states.

The research was then secured a fast publication via BDJ, a community peer-reviewed, open-access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind.

"Import of structured data into human-readable text is important but it does not represent the whole story. More importantly, the data can be downloaded straight from the article text by anyone for further re-use, or be automatically exported to data aggregators, such as the Global Biodiversity Information Facility (GBIF). In this way, data platforms could get more peer-reviewed content from scholarly publications and scientists will be properly credited for their efforts" said Prof. Lyubomir Penev, founder of Pensoft Publishers.

Original Source:

Fernandez-Triana J, Penev L, Ratnasingham S, Smith M, Sones J, Telfer A, deWaard J, Hebert P (2014) Streamlining the use of BOLD specimen data to record species distributions: a case study with ten Nearctic species of Microgastrinae (Hymenoptera: Braconidae). Biodiversity Data Journal 2: e4153. doi: 10.3897/BDJ.2.e4153

Additional information:

The workflow is part of the Data Publishing Toolkit elaborated within the EU FP7 funded project EU BON (Grant agreement No 308454).

A new EU BON acknowledged paper "Advancing species diversity estimate by remotely sensed proxies: A conceptual review" has been recently published in the journal Ecological Informatics.

Abstract: 

Many geospatial tools have been advocated in spatial ecology to estimate biodiversity and its changes over space and time. Such information is essential in designing effective strategies for biodiversity conservation and management. Remote sensing is one of the most powerful approaches to identify biodiversity hotspots and predict changes in species composition in reduced time and costs. This is because, with respect to field-based methods, it allows to derive complete spatial coverages of the Earth surface under study in a short period of time. Furthermore, remote sensing provides repeated coverages of field sites, thus making studies of temporal changes in biodiversity possible. In this paper we discuss, from a conceptual point of view, the potential of remote sensing in estimating biodiversity using various diversity indices, including alpha- and beta-diversity measurements.

Original Source: 

Rocchini D, Hernández-Stefanoni J L, He KS (2014) Advancing species diversity estimate by remotely sensed proxies: A conceptual review. Ecological Informatics. DOI: 10.1016/j.ecoinf.2014.10.006

New research published with the support of the FP7 large-scale bioinformatics project Building the European Biodiversity Observation Network (EU BON) and the Alien Challenge COST action reveals the importance of open data in the study and control of invasive alien species. The study was published online in open access in the journal Management of Biological Invasions.

Invasive alien species cause a wide variety of problems, including issues related to conservation; to human and animal health; to agriculture and to fisheries management. But how can science be useful to manage such potential issues?

"To advise policy makers and inform land managers on the dangers posed by and how to fight alien species we need to understand the invasion process. Ideally, we would like to be able to predict the causes, routes and progression of invasions." explains Dr. Quentin Groom, Botanic Garden Meise, Belgium.

Recently, several research groups have pioneered the process of "Horizon Scanning" for new alien species, also there have been parallel developments in the creation of dynamic ecological models to predict invasions. However, the greatest limitation to these advances is the lack of suitable data.

"The problem of invasive species is international and rapidly changing. Data are required from an extensive area, for many species and for a long period but what is currently available is patchy and often inaccessible. We argue for the importance of open data to tackle the problem of invasive alien species." explains Dr. Groom.

This new research reviews why access to data are so important to invasive alien species research and gives an overview of the reasons why data are unavailable to researchers. Currently access to data is patchy and is restricted in many ways:

• Legally, the use of restrictive data licensing blocks its use.
• Technically, many software systems don't adequately support sharing, particularly in their provision of unique identifiers.
• Culturally, data secrecy is the default position for most organizations.

Currently invasive species data is patchy and often restricted legally, through the use of restrictive data licensing. Credit: Peter Desmet

Gradually, data are becoming more accessible and attitudes towards data access are changing. The advent of data publications allows researchers to attract citations from their data, while simultaneously making their data accessible and discoverable.

The community of biodiversity observers is highly fragmented and the creation of a European biodiversity network will improve communication so that grassroots biodiversity surveyors will understand issues of data sharing, citation and licensing that are so critical for a rapid response to invasive species.

###

Original Source:

Groom QJ, Desmet P, Vanderhoeven S & Adriaens T (2015) The importance of open data for invasive alien species research, policy and management. Management of Biological Invasions 6: in press. doi: 10.3391/mbi.2015.6.2.02

A new aticle published in Ecology Letters  looks into the indirect interactions among tropical tree species through shared rodent seed predators. The reasearch is part of the work of EU BON postdoc Carol X. Garzon-Lopez.

Abstract: The coexistence of numerous tree species in tropical forests is commonly explained by negative dependence of recruitment on the conspecific seed and tree density due to specialist natural enemies that attack seeds and seedlings (‘Janzen–Connell’ effects). Less known is whether guilds of shared seed predators can induce a negative dependence of recruitment on the density of different species of the same plant functional group. We studied 54 plots in tropical forest on Barro Colorado Island, Panama, with contrasting mature tree densities of three coexisting large seeded tree species with shared seed predators. Levels of seed predation were far better explained by incorporating seed densities of all three focal species than by conspecific seed density alone. Both positive and negative density dependencies were observed for different species combinations. Thus, indirect interactions via shared seed predators can either promote or reduce the coexistence of different plant functional groups in tropical forest.

Carol X. Garzon-Lopez et. al. (2015) Indirect interactions among tropical tree species through shared rodent seed predators: a novel mechanism of tree species coexistence. Ecology Letters. doi: 10.1111/ele.12452

Looked down on with scepticism by many taxonomists, handling big data efficiently is a huge challenge that can only be met with thorough and multi-layered efforts from both scientists and technological developers. Projects like the Pan-European Species-directories Infrastructure (PESI), started in 2009, prove that harmonised taxonomic reference systems and high-quality data sets are possible through dynamic, expertly created and managed online tools. The methods, results and future prospects of PESI are available in the open access Biodiversity Data Journal.

With environmental changes occurring at an unprecedented rate around the world, biological communication needs to be left off the pace at no point. Phenomena such as species' migration, extinction, intrusion; ecosystem stability; decline of pollinators and pest invasion have to be monitored closely and identified momentarily. In order to do so, proper identification based on reliable and easily accessible data is crucial.

Therefore, the three key objectives of PESI include standardisation in taxonomic reference systems, enhancement of the quality and completeness of taxonomic data sets and creation of integrated access to taxonomic information. The five pillars of biological community networks, Zoology, Botany, Marine Biota, Mycology and Phycology, have been integrated in five infrastructural components: knowledge, consensus, standards, data and dissemination.

As a result, PESI did not only merge data from a range of sources and published a total of nearly 450,000 scientific names online. It also maintains networks of outstanding experts and national focal points, so that it makes sure that the taxonomic information, it relies on, is always at its finest, while simultaneously takes care about delivering persistent standards and easily accessible up-to-date biodiversity data.

PESI results will also feed as an essential part for the advancement of relevant EU projects, such as Building the European Biodiversity Observation Network (EU BON). In the EU BON project, the PESI Backbone will be advanced to satisfy the needs of the GEO BON / GEOSS system, also serving as a taxonomic backbone for the projected EU BON Biodiversity Portal.

Aiming at standardisation and integration of taxonomic data across platforms PESI also works in close collaboration with other relevant projects including GBIF, LifeWatch, the Catalogue of Life, the Encyclopedia of Life, the Global Names Architecture, GÉANT, ViBRANT, OpenUp!,BioVeL, iMarine , EU BON and BiodiversityKnowledge .

"Scientific names are key carriers of biodiversity information. Therefore, for the efficient exploring and integration of biodiversity data, the development of a functional taxonomic resolution system, including the establishment of a shared taxonomic standard (as a core component), is essential for all sorts of biodiversity assessments. PESI provides such an infrastructure for Europe, integrating the relevant technical (informatics) and social (knowledge & users) networks into a common work program, serving a wide community of biodiversity workers," says Dr. Yde de Jong, coordinator of the Pan-European Species-directories Infrastructure (PESI) project.

"The PESI Taxonomic Backbone serves as a taxonomic data standard resource, facilitating and optimising the integration and sharing of European biodiversity data, supporting a wide range of European services, major biodiversity programs and stakeholders on nature conservation and biodiversity management," conclude their results the scientists.

Original Source:

de Jong Y, et al. (2015) PESI - a taxonomic backbone for Europe. Biodiversity Data Journal 3: e5848.doi: 10.3897/BDJ.3.e5848

Additional Information:

The Pan-European Species-directories Infrastructure (PESI) provides standardised and authoritative taxonomic information by integrating and securing Europe's taxonomically authoritative species name registers and nomenclators (name databases) and associated expert(ise) networks that underpin the management of biodiversity in Europe. PESI kicked-off as an EC-FP7 project, running from 2009 to 2011.

PESI proceeded from the EC-FP6 Networks of Excellence EDIT, on developing a European Distributed Institute of Taxonomy, and MarBEF, on Marine Biodiversity and Ecosystem Functioning.

Building the European Biodiversity Observation Network (EU BON) is a European research project, financed by the 7th EU framework programme for research and development (FP7). EU BON seeks ways to better integrate biodiversity information and implement into policy and decision-making of biodiversity monitoring and management in the EU.

The importance of measuring species diversity as an indicator of ecosystem health has been long recognized and it seems that satellite remote sensing (SRS) has proven to be one of the most cost-effective approaches to identify biodiversity hotspots and predict changes in species composition. What is the real potential of SRS and what are the pitfalls that need to be avoided to achieve the full potential of this method is the topic of a new research, published in the journal Remote Sensing in Ecology and Conservation.

The new study, supported by the FP7 funded EU project EU BON takes the assessment of diversity in plant communities as a case study. Showing the difficulties to achieve high results by relying only on field data, the paper discusses the advantages of SRS methods.

"In contrast to field-based methods, SRS allows for complete spatial coverages of the Earth's surface under study over a short period of time. Furthermore, it provides repeated measures, thus making it possible to study temporal changes in biodiversity," explains Dr. D. Rocchini from Fondazione Edmund Mach, lead author and WP deputy leader / task leader in EU BON. "In our research we provide a concise review of the potential of satellites to help track changes in plant species diversity, and provide, for the first time, an overview of the potential pitfalls associated with the misuse of satellite imagery to predict species diversity. "

Traditionally, assessment of biodiversity at local and regional scales relies on the one hand on local diversity, or the so called alpha-diversity, and on the other, on species turnover, or beta-diversity. Only in combination of these two measures can lead to an estimate of the whole diversity of an area.

While the assessment of alpha-diversity is relatively straightforward, calculation of beta-diversity could prove to be quite challenging. This is where increased collaboration between the remote sensing and biodiversity communities is needed in order to properly address future challenges and developments.

The new research shown the high potential of remote sensing in biodiversity studies while also identifying the challenges underpinning the development of this interdisciplinary field of research.

"Further sensitivity studies on environmental parameters derived from remote sensing for biodiversity mapping need to be undertaken to understand the pitfalls and impacts of different data collection processes and models. Such information, however, is crucial for a continuous global biodiversity analysis and an improved understanding of our current global challenges."concludes Dr. Rocchini.

Original Source:

Rocchini, D., Boyd, D. S., Féret, J.-B., Foody, G. M., He, K. S., Lausch, A., Nagendra, H., Wegmann, M., Pettorelli, N. (2016), Satellite remote sensing to monitor species diversity: potential and pitfalls. Remote Sensing in Ecology and Conservation, 2: 25-36. doi: 10.1002/rse2.9

A new EU BON acknowledging data article provides a virtual species set as a valuable tool in biodiversity monitoring. 

Abstract

Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation. In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a dataset containing more than 700,000 random observations at the extent of Europe. The dataset includes spatial attributes such as: distance to roads, protected areas, country codes, and the habitat suitability of two spatially clustered species (grassland and forest species) and a wide-spread species.

Original Source:

Garzon-Lopez, C.X., Bastin, L., Foody, G.M., Rocchini, D. (2016). A virtual species set for robust and reproducible Species Distribution Modelling tests. Data in Brief, 7: 476-479. doi: http://dx.doi.org/10.1016/j.dib.2016.02.058

A recent article in the academic journal Science published by Prof. Urmas Kõljalg and colleagues aims to explain the possibilities for identifying species determined based on DNA samples only.

The article was published as a response to David Hibbetts paper "The invisible dimension of fungal diversity". The American mycologist Hibbett argues that huge amount of fungal species cannot be identified and described scientifically as the international code does not permit describing new species based on DNA samples derived from molecular surveys of the environment. However, the Estonian and Swedish scientists show – analysing the same data – how DNA based fungal species have been identified and communicated for several years now using database UNITE (https://unite.ut.ee).

In the forests of Laos the mushroom season has already begun.  Among the mushrooms presented on these dishes one can most likely also find species scientifically yet undescribed. The digital object identifiers (DOIs) system created by the scientists in Tartu permits comunication of these species already before they have been granted scientific names. Writing about poisonous mushrooms for example helps to keep people informed, so that cases of intoxication can be avoided more often. (Photo: Urmas Kõljalg)

"Traditionally species are determined based on their morphology and anatomy, in printed books – traditional keys to nature – species are displayed on pictures and in written descriptions. But DNA of fungi can also be found in samples of soil, of leaves, of air, in these circumstances we do not actually have the fungus itself and we cannot identify it visually," Urmas Kõljalg explains the core of the matter. "In this case, species can be determined evaluating their DNA sequences."

The UNITE Species Hypotheses approach demonstrates how the DNA based fungal species can be referred to in a proper scientific manner already before they have been described formally according to the code. This can be done using unique digital object identifiers (DOIs) given to all fungal species in the UNITE database. This keeps all the references automatically connected and machine-readable by other databases as well.

"Even if the species will have its name ten years from now, the DOI code will help us go back and see, where the species was first described and who found it," Urmas Kõljalg says.

For several years now by leading species classification platforms based on DNA sequences more than half a million DOI codes have been used as identifiers of fungal species. UNITE fungal codes are used by the most influential gene bank NCBI also. The UNITE system uses a new paradigm in identifying species, this paradigm was first described by Urmas Kõljalg and colleagues in 2013.

UNITE – the global unified system for the DNA based fungal species – contains information of all the fungal species known from sequence data, hundreds of researchers from all over the world are collaborating. UNITE is hosted by PlutoF cloud, which permits creating very complex databases for various biodiversity data, including DOIs. The development of PlutoF system is supported by the Estonian research infrastructures roadmap project NATARC (http://natarc.ut.ee), EU BON (http://eubon.eu), etc. All scientists can use PlutoF for free.

Biodiversity data are sparse, biased and collected at many resolutions. So techniques are needed to combine these data and provide some clarity. This is where downscaling comes in. Downscaling predicts the occupancy of a species in a given area. That is, the number of grid squares a species is predicted to occupy in a standard grid of equally sized squares. Downscaling uses the intrinsic patterns in the spatial organization of an organism’s distributions to predict what the occupancy would be, given the occupancy at a coarser resolution.

Groom et al. (2018) tests different downscaling models on birds and plants in four countries and in different landscapes and shows which models work best. The results show that all models work similarly, irrespective of the type of organism and landscape. However, some models were biased, either under- or overestimating occupancy. However, a few models were both reliable and unbiased. This means we can automate calculation of species occupancy. Workflows can harvest data from many sources and calculate species metrics in a timely manner, potentially delivering warnings so that interventions can be made.

Species invasions, habitat degradation and mass extinctions are not a future threat, they are happening now. Understanding how we should react, and what policies we need should be underpinned by solid evidence. Imagine if we had systems where we could monitor biodiversity just like we monitor the climate in easy to understand numbers that are both accurate and sensitive to change.

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