Science Review

Science Review

Science Review Compiling the year’s research uses of data accessed through the Global Biodiversity Information Facility 2016 2 Foreword The phrase ‘free and open access to biodiversity data’ that appears on GBIF.org is more than a slogan. Making data open and accessible to users without A major use of GBIF-mediated data is modelling them having to ask for permission dramatically species distributions, which is to be expected reduces the “transaction costs” associated with given the nature of the data. Estimating current accessing data. Rather than negotiating with distributions, and predicting how they might multiple data providers, a researcher can simply change in the future, is a staple of GBIF-based get the data and explore it. Such an exploration science and has obvious practical applications to might lead to a dead end, but the cost of failure is areas such as invasive species, vectors of human low, because we haven’t wasted time negotiating disease, and food crops. access for something that ultimately didn’t work GBIF-mediated data also underpins basic, out. The fewer obstacles we put in the way of curiosity-driven research. Increasingly we are researchers, the more varied and innovative the also seeing meta-analyses of biodiversity data, uses that are likely to emerge. such as the paper included here, “Synthetic This is reflected in this year’s Science Review, datasets and community tools for the rapid which documents a growing body of research that testing of ecological hypotheses”, whose authors hinges on free and open access to biodiversity include Miguel Araújo, a past winner of GBIF’s data from the GBIF network. The 57 additional Ebbe Nielsen Prize. The abstract is worth quoting: papers in 2015 represent a 17 per cent annual increase, amounting to an additional peer- The increased availability of reviewed use of GBIF-mediated data each week. both open ecological data, and As befits a global organization, the geographic software to interact with it, allows diversity of authors using GBIF-mediated data has the fast collection and integration broadened. Based on authors’ host institutions, of information at all spatial and the number of papers produced by researchers taxonomic scales. This offers working in China, Mexico, Spain, Brazil and the opportunity to address Colombia now nearly matches and sometimes macroecological questions in exceeds the output from their peers in Germany, a cost-effective way. Australia, France and Switzerland. The regional totals support the notion that these are general In other words, “free and open access to trends, with researchers from Asia (+44), North biodiversity data” enables approaches to the America (+51) and Latin America (+57) each study of diversity that are not otherwise possible. co-authoring dozens more papers than in 2014. The publications gathered here are a testimony One hopes that activities to fill data gaps like the to the benefits of open data. data mobilization projects supported by the EU- funded Biodiversity Information for Development ROD PAGE programme (BID) will see returns in more active Chair, GBIF Science Committee use by researchers in Africa, the Caribbean and Vice Chairs : Mark Costello, Anders G. Finstad & the Pacific. Philippe Grandcolas Members: Elizabeth Arnaud & Guy Cochrane 3 About the Science Review The GBIF Science Review provides an annual survey have decoupled the comprehensive list of the year’s drawn from the Secretariat’s ongoing literature uses, publishing them instead in a companion Science tracking programme, which identifies research Review Sourcebook, available at gbif.org/science- uses and citations of biodiversity information review-sourcebook-2016. accessed through GBIF’s global infrastructure. The peer-reviewed articles summarized in the following As in previous years, the categories used here are pages offer a partial but instructive view of research intended to help readers navigate the major subject investigations enhanced and supported by free open areas of GBIF-assisted research, despite the fact access data that the GBIF network of members and that some papers may cut across multiple topics. publishers make available. For clarity’s sake, articles appear under only one category in the Review. Countries assigned to authors This year, we introduce two new conventions. The first are based on the location of the institutions identified is to identify open-access scientific articles using the in the author information, while funding information symbol a. We think this step is both valuable and included for the highlighted papers draws upon the practical for those interested in reading the research papers’ acknowledgements. at a time of institutional journal subscriptions. Those interested in sharing research uses that In addition, to keep pace with the ever-expanding have escaped our attention can write to us at bibliographic tables (and reduce printing costs), we [email protected]. CONTENTS Uses and trends ................................................................................................................. 4 Invasive alien species ...................................................................................................... 6 Impacts of climate change ............................................................................................13 Species conservation and protected areas ................................................................19 Biodiversity and human health .....................................................................................22 Food, farming and biofuels ............................................................................................25 Advancing biodiversity science ....................................................................................29 Data management ..........................................................................................................37 4 Uses and trends These visualizations of the use of GBIF-mediated data serve to show not just the growing number of peer-reviewed publications appearing each year, but also the increasing number of countries, islands and territories whose institutions host authors who apply the data in their research articles. Each trend highlights the GBIF network’s widening sphere of influence and impact on scientific research related to the biological domain. ANNUAL NUMBER OF PEER-REVIEWED ARTICLES USING GBIF-MEDIATED DATA 2015 407 2014 350 2013 249 2012 229 2011 169 2010 148 2009 89 2008 52 5 NUMBER OF ARTICLES WITH AUTHORS BY COUNTRY/ISLAND/TERRITORY 163 United States 59 United Kingdom 44 Germany countries, islands & 38 Australia territories with authors who 36 China used GBIF-mediated data in peer-reviewed papers 33 Mexico published in 2015 32 Spain 30 Brazil 24 France 23 Colombia 81 22 Switzerland 19 Belgium 17 Canada 16 Netherlands 47 28 15 Sweden 82 14 Chile • Denmark • Italy Proportion and number 12 Norway of papers by authors 327 136 10 South Africa within GBIF regions 9 New Zealand 8 Austria • India • Russian Federation 182 7 Argentina 6 Peru • Poland • Portugal • Singapore 41+23171063+K 5 Costa Rica • Czech Republic • Thailand 4 Benin • Bolivia • Ecuador • Japan • Panama • Saudi Arabia 3 Iran • Kenya • Pakistan • Taiwan • Ecuador • Zimbabwe 2 Estonia • Greece • Hungary • Iceland • Indonesia • Israel • Nigeria • South Korea 1 Bahamas • Bangladesh • Belize • Bulgaria • Burkina Faso • Cameroon • Croatia Dominican Republic • French Guiana • Ghana • Greenland • Ireland • Kuwait Luxembourg • Malaysia • Namibia • Nepal • Oman • Philippines • Puerto Rico Romania • Rwanda • Slovenia • Slovakia • Suriname • Uganda • Uruguay • Venezuela GBIF Regions Asia Africa Europe Latin America North America Oceania 6 Invasive alien species MANGROVE FOREST, ANDAMAN ISLANDS, INDIA. ADHIKARI, TIWARY & BARIK (2015) IDENTIFY BOTH THE ANDAMANS AND INDIA’S MANGROVES AS LIKELY INVASION HOTSPOTS. CC BY-NC 2007 AMRE https://flic.kr/p/3frJfX INVASIVE HOTSPOTS OF INDIA USDA, Massachusetts Agricultural Experiment Station, Massachusetts Department of Environmental Conservation a Adhikari D, Tiwary R & Barik SK (2015) Modelling Hotspots for Invasive Alien Plants in India. PLoS ONE 10(7): This study examines 15 invasive plants in the US to e0134665. doi:10.1371/journal.pone.0134665 argue that models based on occurrence data alone Author country: India may be good indicators of species distribution, but Identifying areas vulnerable to invasive alien species poor predictors of species abundance. The author (IAS) is a prerequisite to controlling invasion. This suggests that the latter instead requires abundance study combines bioclimatic data with GBIF-mediated surveys as these data are effective predictors of occurrences to model climatic niches for 155 invasive species abundance. alien plants in India. After using the models to generate climatic suitability maps, the researchers PREDICTING THE RANGE OF AN INVASIVE MARINE SPECIES overlaid terrestrial ecoregions and anthropogenic biomes. The resulting ‘IAS hotspots’ represent places a Byers JE, Smith R, Pringle J et al. (2015) Invasion where more than 50 per cent of an ecoregion overlaps Expansion: Time since introduction best predicts global ranges of marine invaders. Scientific Reports 5: 12436. with climatically suitable areas for multiple invasive doi:10.1038/srep12436 species containing at least three anthropogenic Author countries: United States, Australia, New Zealand biome types. These hotspots occur in 19 of 47 Indian Research funding: Macquarie University;

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