Uses of GBIF in scientific research

Peer-reviewed research citing GBIF as a data source, with at least one author from India.
For all researches, please visit our "Peer-reviewed publications" page.

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


  • Devi K, Singh P, Bhattacharyya D (2016)

    Three new additions to the grass (Poaceae) flora of Manipur, India

    Plant Science Today 3(3) 272.

    Three grass species viz., Avena fatua L., Chrysopogon zizanioides (L.) Roberty and Digitaria violascens Link (Poaceae, nom. alt. Gramineae) are reported here for the first time from Manipur (India) as new records to the state. A key to the identification of species along with detail description and illustrations is provided to facilitate their easy identification.

    Keywords: Avena fatua, Chrysopogon zizanioides, Digitaria violascens, Gramineae, New Records


  • Ray D, Behera M, Jacob J (2016)

    Improving spatial transferability of ecological niche model of Hevea brasiliensis using pooled occurrences of introduced ranges in two biogeographic regions of India

    Ecological Informatics 34 153-163.

    Improved spatial transferability of ecological niche models is crucial for accurately predicting species preferred habitat; this is especially true for a planted tree species (Hevea brasiliensis Muell. Arg.). Amazonian valley of South America (AZ) is known as native range of this species. To test the transferability of Maxent ecological niche model among two distinct bio-geographical regions of India, Western Ghats (WG) and North-East (NE) regions and AZ, the present study was designed. The present spatial distribution of H. brasiliensis was evaluated using the Maxent algorithm using bioclimatic variables and species occurrence data from respective regions. An alternate approach of calibrating the model with pooled occurrence points of various introduced ranges of the species was adapted for predicting the species' presence in unsampled region. Spatial distribution of Hevea species in two biogeographic regions of India modelled by Maxent was found to be quite accurate when the model was calibrated with the sampled occurrence points of the same region as evidenced from our previous studies. However, the present study addresses the issue related to transferability of niche based model to predict the probable distribution of Hevea species in an unsampled region based on either its native or introduced range of the species. The result indicates that transferability depends on the extent of similarity between the climatic spaces occupied by the species in sampled region and unsampled regions of the species' distribution. The spatial transferability of the model was improved by using pooled occurrence data of the species from both introduced regions.

    Keywords: Maxent, Realized niche, Rubber tree, Species distribution modelling, Unfilled niche


  • Rekadwad B, Khobragade C (2016)

    Digital data for quick response (QR) codes of alkalophilic Bacillus pumilus to identify and to compare bacilli isolated from Lonar Crator Lake, India

    Data in Brief 7 1306-1313.

    Microbiologists are routinely engaged isolation, identification and comparison of isolated bacteria for their novelty. 16S rRNA sequences of Bacillus pumilus were retrieved from NCBI repository and generated QR codes for sequences (FASTA format and full Gene Bank information). 16SrRNA were used to generate quick response (QR) codes of Bacillus pumilus isolated from Lonar Crator Lake (19° 58′ N; 76° 31′ E), India. Bacillus pumilus 16S rRNA gene sequences were used to generate CGR, FCGR and PCA. These can be used for visual comparison and evaluation respectively. The hyperlinked QR codes, CGR, FCGR and PCA of all the isolates are made available to the users on a portal https://sites.google.com/site/bhagwanrekadwad/. This generated digital data helps to evaluate and compare any Bacillus pumilus strain, minimizes laboratory efforts and avoid misinterpretation of the species.

    Keywords: Alkaline environment, Alkalophiles, Bacillus signatures, Lonar Crator Lake, Soda Lake


  • Sarkar SK S (2016)

    On the Mimela Kirby, 1823 (Rutelinae: Scarabaeidae) of Buxa Tiger Reserve (a forest under biodiversity hot spot zone), Dooars, West Bengal, India

    World Scientific News 50 95-105.

    Taxonomic account of Mimela Kirby, 1823 fauna included within the subfamily Rutelinae recorded from Buxa Tiger Reserve, Dooars, West Bengal, India are dealt herewith. Long term faunistic survey by the authors resulted in the present outcome. Each of the species is redescribed and illustrated, supplemented by digital images. For easy identification of the species, a key has also been provided.

    Keywords: Buxa Tiger Reserve, Dooars, India, Mimela, Redescription


  • 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: Buxa Tiger Reserve, Dooars, India, Mimela, Redescription


  • 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


  • Janakiraman J, Jalal J (2015)

    Angiosperm diversity of the Great Indian Bustard Wildlife Sanctuary: a semi-arid grassland, Maharashtra, India

    Check List 11(2) 1602.

    The Great Indian Bustard Wildlife sanctuary is a semi-arid grassland ecosystem spread over an area of 1,222 km 2 in the Solapur and Ahmednagar districts of Maharashtra, India. It is an abode of the critically endangered bird, the Great Indian Bustard. A total of 436 plants belonging to 259 genera and 67 families are reported in the present study from the sanctuary, including 22 endemic taxa. Grasses form one of the dominant components of the ecosystem and are represented by about 67 species. The sanctuary is facing severe habitat loss and degradation, posing a threat to its biodiversity. This paper provides a comprehensive documentation of the floristic diversity of the sanctuary. Threats and conservation measures are also discussed.

    Keywords: Nannaj, Solapur, floristics, inventory, protected area


  • 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: Nannaj, Solapur, floristics, inventory, protected area