Uses of GBIF in scientific research

Peer-reviewed research citing GBIF as a data source, with at least one author from India.
Extracted from the Mendeley GBIF Public Library.

List of publications

  • Deblauwe V, Droissart V, Bose R, Sonké B, Blach-Overgaard A, Svenning J et al. (2016)

    Remotely sensed temperature and precipitation data improve species distribution modelling in the tropics

    Global Ecology and Biogeography.

    Aim Species distribution modelling typically relies completely or partially on climatic variables as predictors, overlooking the fact that these are themselves predictions with associated uncertainties. This is particularly critical when such predictors are interpolated between sparse station data, such as in the tropics. The goal of this study is to provide a new set of satellite-based climatic predictor data and to evaluate its potential to improve modelled species–climate associations and transferability to novel geographical regions. Location Rain forests areas of Central Africa, the Western Ghats of India and South America. Methods We compared models calibrated on the widely used WorldClim station-interpolated climatic data with models where either temperature or precipitation data from WorldClim were replaced by data from CRU, MODIS, TRMM and CHIRPS. Each predictor set was used to model 451 plant species distributions. To test for chance associations, we devised a null model with which to compare the accuracy metric obtained for every species. Results Fewer than half of the studied rain forest species distributions matched the climatic pattern better than did random distributions. The inclusion of MODIS temperature and CHIRPS precipitation estimates derived from remote sensing each allowed for a better than random fit for respectively 40% and 22% more species than models calibrated on WorldClim. Furthermore, their inclusion was positively related to a better transferability of models to novel regions. Main conclusions We provide a newly assembled dataset of ecologically meaningful variables derived from MODIS and CHIRPS for download, and provide a basis for choosing among the plethora of available climate datasets. We emphasize the need to consider the method used in the production of climate data when working on a region with sparse meteorological station data. In this context, remote sensing data should be the preferred choice, particularly when model transferability to novel climates or inferences on causality are invoked.

    Keywords: Association test, CHIRPS, GLM, MODIS, MaxEnt, TRMM, WorldClim, ecological niche model, habitat suitability, null model


  • Adhikari D, Tiwary R, Barik S (2015)

    Modelling Hotspots for Invasive Alien Plants in India.

    PloS one 10(7) e0134665.

    Identification of invasion hotspots that support multiple invasive alien species (IAS) is a pre-requisite for control and management of invasion. However, till recently it remained a methodological challenge to precisely determine such invasive hotspots. We identified the hotspots of alien species invasion in India through Ecological Niche Modelling (ENM) using species occurrence data from the Global Biodiversity Information Facility (GBIF). The predicted area of invasion for selected species were classified into 4 categories based on number of model agreements for a region i.e. high, medium, low and very low. About 49% of the total geographical area of India was predicted to be prone to invasion at moderate to high levels of climatic suitability. The intersection of anthropogenic biomes and ecoregions with the regions of 'high' climatic suitability was classified as hotspot of alien plant invasion. Nineteen of 47 ecoregions of India, harboured such hotspots. Most ecologically sensitive regions of India, including the 'biodiversity hotspots' and coastal regions coincide with invasion hotspots, indicating their vulnerability to alien plant invasion. Besides demonstrating the usefulness of ENM and open source data for IAS management, the present study provides a knowledge base for guiding the formulation of an effective policy and management strategy for controlling the invasive alien species.

    Keywords: Association test, CHIRPS, GLM, MODIS, MaxEnt, TRMM, WorldClim, ecological niche model, habitat suitability, null model


  • Braby M, Farias Quipildor G, Vane-Wright R, Lohman D (2015)

    Morphological and molecular evidence supports recognition of Danaus petilia (Stoll, 1790) (Lepidoptera: Nymphalidae) as a species distinct from D. chrysippus (Linnaeus, 1758)

    Systematics and Biodiversity 1-17.

    The danaine butterfly Danaus chrysippus (Linnaeus, 1758) occurs widely in the Afrotropical, Oriental and Australian regions and comprises a taxonomic complex, with recent authors recognizing between one and three species. Danaus petilia (Stoll, 1790) has previously been considered to be a subspecies of D. chrysippus, but we present evidence from wing colour pattern, morphological characters and molecular data that support a recent proposal to treat D. petilia as a separate, parapatric species. The subspecies D. chrysippus cratippus (C. Felder 1860) has a limited range in Indonesia, and was until recently known in Australia from only two specimens. However, on Cobourg Peninsula in the Northern Territory of Australia, D. chrysippus cratippus and D. petilia were observed flying together in Melaleuca swampland. Comparative analysis of wing colour pattern and quantitative morphological characters of material of both taxa sampled from this geographical region of sympatry indicates at least six diagnostic featur...

    Keywords: DNA barcode, Danainae, Indo-Australian Archipelago, Lydekker's Line, Wallacea


  • Chauhan JS, Singh CP S (2015)

    Geospatial techniques for modelling the environmental niche of the species

    Coordinates.

    A protected area network like Kanha Tiger Reserve, in general, protects and manages a vast spectrum of wildlife. However, the conservation of charismatic large mammals and wildlife of high conservation value tends to overshadow all other wild animals and birds. The perceived ordinariness of these wildlife species in protected areas have also become one of the main causes of their not receiving due attention for detailed systematic studies therein, and rapid decline outside in managed forests. The fauna of Kanha Tiger Reserve (KTR) supports the endangered tiger (Panthera tigris tigris) and vulnerable hard ground barasingha (Cervus duvauceli branderi) and a wide range of larger mammal species and birds. The fauna also includes an amazing arboreal mammal species – Indian giant squirrel (Ratufa indica Erxleben). The species belongs to the family Sciuridae of order Rodentia. The significance of the conservation of Indian giant squirrel in the tiger reserve lies in the endemicity of this mammal species to India and its consequent implications for conservation in managed forests still supporting small populations of this species. An endemic species to India, it commands a wide distribution in Peninsular India, from evergreen forests to moist and dry deciduous forests of eastern and western ghats to central India (Baskaran et al. 2011). The Indian Giant squirrel has been categorised as of Least Concern with decreasing population trend in the Red List of IUCN (Rajamani et al. 2014). It has been placed under Schedule II in the Indian Wildlife (Protection) Act, 1972 (as amended). Ghosh and Bhattacharyya, 1995 described the occurrence of this species in KTR. They, however, recorded only one animal near the Banjar River in the Mukki forest range. Some forest guards and visitors reported its sighting at a few sites in the Supkhar forest range.

    Keywords: DNA barcode, Danainae, Indo-Australian Archipelago, Lydekker's Line, Wallacea


  • Rekha Sarma R, Munsi M, Neelavara Ananthram A (2015)

    Effect of Climate Change on Invasion Risk of Giant African Snail (Achatina fulica Férussac, 1821: Achatinidae) in India.

    PloS one 10(11) e0143724.

    The Giant African Snail (Achatina fulica) is considered to be one the world's 100 worst invasive alien species. The snail has an impact on native biodiversity, and on agricultural and horticultural crops. In India, it is known to feed on more than fifty species of native plants and agricultural crops and also outcompetes the native snails. It was introduced into India in 1847 and since then it has spread all across the country. In this paper, we use ecological niche modeling (ENM) to assess the distribution pattern of Giant African Snail (GAS) under different climate change scenarios. The niche modeling results indicate that under the current climate scenario, Eastern India, peninsular India and the Andaman and Nicobar Islands are at high risk of invasion. The three different future climate scenarios show that there is no significant change in the geographical distribution of invasion prone areas. However, certain currently invaded areas will be more prone to invasion in the future. These regions include parts of Bihar, Southern Karnataka, parts of Gujarat and Assam. The Andaman and Nicobar and Lakshadweep Islands are highly vulnerable to invasion under changed climate. The Central Indian region is at low risk due to high temperature and low rainfall. An understanding of the invasion pattern can help in better management of this invasive species and also in formulating policies for its control.

    Keywords: DNA barcode, Danainae, Indo-Australian Archipelago, Lydekker's Line, Wallacea


  • Verma P (2015)

    Biodiversity Data Discovery through Data Mining in Mountain areas

    Suresh Gyan Vihar University Journal of Engineering & Technology 1(2) 49-53.

    The degree of variation of life form s within a given species , ecosystem , biome , or an entire p lanet is biodiversity. Mining biodiversity databases of mountain organisms will help us to get better understanding of mountain biodiversity. The data will be taken from georeference biodiversity databases created through global biodiversity information fa cility. Biodiversity for particular mountain area depends upon range of elevation, associated climatic trends, topographic and soil peculiarities, fragmentation and connectivity amongst biota. Data discovered through mining databases will be categorized ac cording to major taxonomic group with more coverage on animals specially birds, mammals and fishes.Biodiverstity data gathered will help us in solving applied issues such as finding endangered species, migration of species, invasion of new species, conserv ation planning etc., societal issues such as ecotourism, recreation, public health and also basic issues which includes taxonomy, diversity, ecology and evolution. Using biodiversity databases helps us in managing biodiversity, test ecological and evolutio nary theories measure impact of climate change on various species and its effects on conservation efforts. Data will be analyzed through niche modeling which will help us to explain past and future trends in mountain biodiversity. Niche of species is defin ed as set of ecological conditions within which it is able to maintain population without immigration. In this paper we will discover niche of species through mining databases

    Keywords: F ragmentation, Georefernce, T axo n, T opographic


  • van Kleunen M, Dawson W, Essl F, Pergl J, Winter M, Weber E et al. (2015)

    Global exchange and accumulation of non-native plants

    Nature 525(7567) 100-103.

    All around the globe, humans have greatly altered the abiotic and biotic environment with ever-increasing speed. One defining feature of the Anthropocene epoch1, 2 is the erosion of biogeographical barriers by human-mediated dispersal of species into new regions, where they can naturalize and cause ecological, economic and social damage3. So far, no comprehensive analysis of the global accumulation and exchange of alien plant species between continents has been performed, primarily because of a lack of data. Here we bridge this knowledge gap by using a unique global database on the occurrences of naturalized alien plant species in 481 mainland and 362 island regions. In total, 13,168 plant species, corresponding to 3.9% of the extant global vascular flora, or approximately the size of the native European flora, have become naturalized somewhere on the globe as a result of human activity. North America has accumulated the largest number of naturalized species, whereas the Pacific Islands show the fastest increase in species numbers with respect to their land area. Continents in the Northern Hemisphere have been the major donors of naturalized alien species to all other continents. Our results quantify for the first time the extent of plant naturalizations worldwide, and illustrate the urgent need for globally integrated efforts to control, manage and understand the spread of alien species.

    Keywords: Biodiversity, Biogeography, Invasive species, Macroecology


  • Ahmed S, Tajamul M (2014)

    Morphometric studies of the post embryonic developmental stages of Rice Grasshopper, Oxya japonica (Orthoptera: Acrididae)

    New York Science Journal 7(4) 107-111.

    Morphometric analysis of the external body parts of each post embryonic development stage of rice grasshopper, Oxya japonica was carried out under laboratory conditions. Data collected included total body length, head length, antennal length, pronotum length, femur length, length of abdomen, prothoracic leg, mesothoracic leg, metathoracic leg, antenna and abdominal width,. The result of the study showed that the size of the measured body parts increased progressively during the post embryonic development. There was a strong positive relationship between the body length, femur length, antennal length and pronotum length. The life cycle of the insect included 5 instar stages. The study revealed that the total body length, head length, antennal length, abdominal length, hind femur length and length of metathoracic leg could be taken as indicators for the recognition of various instar stages.

    Keywords: morphometrics, oxya japonica, vernier digital caliper


  • Borah R (2014)

    AN UPDATED ACCOUNT OF THE NAME CHANGES OF THE DICOTYLEDONOUS PLANT SPECIES INCLUDED IN THE VOL: III (1939) & VOL: IV (1940) OF “FLORA OF ASSAM”

    Plant Archives 2 983-993.

    All the major monumental floras of the world have most of the plants included in their old names, which are now regarded as synonyms. In north east India, “Flora of Assam” is an important flora as it includes result of pioneering floristic work on Angiosperms & Gymnosperms in the region. But, in this flora, the same problems of name changes appear before the new researchers. Therefore, an attempt is made here to prepare an updated account of the new names against their old counterparts of the plants included in the 3 rd & 4 th volumes of the flora, on the basis of recent standard taxonomic literatures. Earlier , the name changes of the plants included in the 1 st & 2 nd volumes are already published & this is the second part of the work. In this, the unresolved names are not touched & only the confirmed ones are taken into account. In the process new names of 531 dicotyledonous plant species included in the concerned flora are compiled out.

    Keywords: Flora of Assam, Name changes, dicotyledonus plants


  • Ningthoujam S, Choudhury M, Potsangbam K, Chetia P, Nahar L, Sarker S et al. (2014)

    NoSQL Data Model for Semi-automatic Integration of Ethnomedicinal Plant Data from Multiple Sources

    Phytochemical Analysis 25(6) 495-507.

    INTRODUCTION: Sharing traditional knowledge with the scientific community could refine scientific approaches to phytochemical investigation and conservation of ethnomedicinal plants. As such, integration of traditional knowledge with scientific data using a single platform for sharing is greatly needed. However, ethnomedicinal data are available in heterogeneous formats, which depend on cultural aspects, survey methodology and focus of the study. Phytochemical and bioassay data are also available from many open sources in various standards and customised formats. OBJECTIVE: To design a flexible data model that could integrate both primary and curated ethnomedicinal plant data from multiple sources. MATERIALS AND METHODS: The current model is based on MongoDB, one of the Not only Structured Query Language (NoSQL) databases. Although it does not contain schema, modifications were made so that the model could incorporate both standard and customised ethnomedicinal plant data format from different sources. RESULTS: The model presented can integrate both primary and secondary data related to ethnomedicinal plants. Accommodation of disparate data was accomplished by a feature of this database that supported a different set of fields for each document. It also allowed storage of similar data having different properties. CONCLUSION: The model presented is scalable to a highly complex level with continuing maturation of the database, and is applicable for storing, retrieving and sharing ethnomedicinal plant data. It can also serve as a flexible alternative to a relational and normalised database. Copyright © 2014 John Wiley & Sons, Ltd.

    Keywords: ethnomedicinal plants, mongodb, nosql databases