Uses of GBIF in scientific research

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

List of publications

  • Duan R, Kong X, Huang M, Varela S, Ji X (2016)

    The potential effects of climate change on amphibian distribution, range fragmentation and turnover in China

    Many studies predict that climate change will cause species movement and turnover, but few studies have considered the effect of climate change on range fragmentation for current species and/or populations. We used MaxEnt to predict suitable habitat, fragmentation and turnover for 134 amphibian species in China under 40 future climate change scenarios spanning four pathways (RCP2.6, RCP4.5, RCP6 and RCP8.5) and two time periods (the 2050s and 2070s). Our results show that climate change will cause a major shift in the spatial patterns of amphibian diversity. Suitable habitats for over 90% of species will be located in the north of the current range, for over 95% of species in higher altitudes, and for over 75% of species in the west of the current range. The distributions of species predicted to move westwards, southwards and to higher altitudes will contract, while the ranges of the species not showing these trends will expand. Amphibians will lose 20% of their original ranges on average; the distribution outside current ranges will increase by 15%. Climate change will likely modify the spatial configuration of climatically suitable areas. Changes in area and fragmentation of climatically suitable patches are related, which means that species may be simultaneously affected by different stressors as a consequence of climate change.

    Keywords: Amphibians, Climate impacts, Dispersal, Distribution, Fragmentation, MaxEnt, Range shifts, Turnover

  • Li G, Xu G, Guo K, Du S (2016)

    Geographical boundary and climatic analysis of Pinus tabulaeformis in China: Insights on its afforestation

    Ecological Engineering 86 75-84.

    Pinus tabulaeformis, as an endemic species in China, is one of the main tree species for afforestation. For rational cultivation planning and conservation, it is necessary to understand the geographical boundaries and the ecological characteristics of P. tabulaeformis, and to explore its priority afforestation areas. In this study, maximum entropy modeling (MaxEnt) was used to identify and prioritize suitable habitats of P. tabulaeformis, based on 13 climatic variables and GlobCover 2009 data. The results show that the MaxEnt model performs better than random prediction, with an average test area under the curve (AUC) value of 0.93 (0.91–0.94). Precipitation of wettest month (PWM), annual biotemperature (ABT), mean temperature of the coldest month (MTCM), annual mean temperature (AMT), precipitation of driest month (PDM), coldness index (CI), annual precipitation (AP), and mean temperature of the warmest month (MTWM) are identified as dominant variables which explain 94.6% of variability the geographical distribution of P. tabulaeformis. Climatic conditions of P. tabulaeformis in the core area of its distribution are as follows: PWM, 100–246mm; ABT, 3.0–4.7°C; MTCM, −20.2 to −1.1°C; AMT, 2.9–14.7°C; PDM, 2–11mm; CI, −49.4–0°C; AP, 431–1122mm; and MTWM, 19.6–31.2°C. The suitable areas for afforestation are 2.6×104km2 (patches with an area >1km2), 1.6×104km2 (patches with an area >10km2), and 1.2×104km2 (patches with an area >100km2), which are mainly located in north Shaanxi, south Ningxia, and the middle of Gansu and Liaoning provinces with serious landscape fragmentation caused by human agricultural activities. Our simulation results can improve our understanding of the geographical and ecological characteristics of P. tabulaeformis and provide prediction of priority areas for afforestation of this species under current and future climate change scenarios in China.

    Keywords: Afforestation, Climate change, Ecological niche, Geographical boundary, Species distribution model, Vegetation mapping

  • Abulizi A, Feng Z, Yang J Z (2015)

    Invasion of the Himalayan hotspot by Acacia farnesiana: how the human footprint influences the potential distribution of alien species

    Current Science 109(1) 183-189.

    The invasion of alien species in their non - native range has resulted i n inevitable consequences. Thus, the p o- tential distribution of alien species must be delineated to anticipate and reduce their negative effect on native ecosystems. The potential distribution can be pr e- dicted using invasive species distribution mo d els (iSD Ms). Thus far, few studies have investigated the human influence on the distribution of alien species when modelling their potential distribution. In the present study, we predict the potential distribution of Acacia farnesiana in the Himalayan hotspot usi ng a popular iSDM. The effect of human influence was studied by comparing the potential distribution pr e- dicted u s ing only bioclimatic variables and that using both bi o climatic and human footprint variables. We found that using both bioclimatic and human fo o t- print variables, the pote n tial distribution of target species could be 55.38% larger than that of u s ing only bioclimatic variables. This proves the positive effect of human activities on distribution of invasive species. Among the six considered bioclima tic variables, the mean temperature of the coldest quarter, the precip i- tation of the coldest quarter, and temperature seaso n- ality are the most influential factors in determining the potential distribution of A. farnes i ana .

    Keywords: Air Pollution, Atmosphere, Bangladesh, Bhopal Gas Disaster, Bhutan, Biodiversity, Burma, Cities, Climate Change, Court, Dams, Deforestation, Districts, Drought, E-Waste, Environment, Environment Clearance, Environment Impact Assessment (EIA), Fisheries, Floods, Food Safety, Food Security, Forests, Forests Clearance, GM Crops, Government, Hazardous Waste, Health, Hospital Waste, India, Industry, Irrigation, Lakes, Lifestyles and Health, Livestock, MGNREGA, Maldives, Mining, National Green Tribunal (NGT), Natural Disasters, Nepal, Obesity, Ozone Layer, Pakistan, Pesticides, Pollution, Poverty, Public Transport, Renewable Energy, Rivers, Rural Development, Sanitation, Solar Energy, Solid Waste, South Asia, Sri Lanka, Sustainable Development, Toxins, Tribals, Urbanisation, Water Harvesting, Water Pollution, Water Supply, Western Ghats, Wildlife, Wind Energy

  • Ahrends A, Hollingsworth P, Ziegler A, Fox J, Chen H, Su Y et al. (2015)

    Current trends of rubber plantation expansion may threaten biodiversity and livelihoods

    Global Environmental Change 34 48-58.

    The first decade of the new millennium saw a boom in rubber prices. This led to rapid and widespread land conversion to monoculture rubber plantations in continental SE Asia, where natural rubber production has increased >50% since 2000. Here, we analyze the subsequent spread of rubber between 2005 and 2010 in combination with environmental data and reports on rubber plantation performance. We show that rubber has been planted into increasingly sub-optimal environments. Currently, 72% of plantation area is in environmentally marginal zones where reduced yields are likely. An estimated 57% of the area is susceptible to insufficient water availability, erosion, frost, or wind damage, all of which may make long-term rubber production unsustainable. In 2013 typhoons destroyed plantations worth US$ >250 million in Vietnam alone, and future climate change is likely to lead to a net exacerbation of environmental marginality for both current and predicted future rubber plantation area. New rubber plantations are also frequently placed on lands that are important for biodiversity conservation and ecological functions. For example, between 2005 and 2010 >2500km2 of natural tree cover and 610km2 of protected areas were converted to plantations. Overall, expansion into marginal areas creates potential for loss-loss scenarios: clearing of high-biodiversity value land for economically unsustainable plantations that are poorly adapted to local conditions and alter landscape functions (e.g. hydrology, erosion) – ultimately compromising livelihoods, particularly when rubber prices fall.

    Keywords: Biodiversity, Cash crops, Deforestation, Rubber, South East Asia

  • An M, Zeng L, Zhang T, Zhong Y (2015)

    Phylogeography of Thlaspi arvense (Brassicaceae) in China Inferred from Chloroplast and Nuclear DNA Sequences and Ecological Niche Modeling.

    International journal of molecular sciences 16(6) 13339-55.

    Thlaspi arvense is a well-known annual farmland weed with worldwide distribution, which can be found from sea level to above 4000 m high on the Qinghai-Tibetan Plateau (QTP). In this paper, a phylogeographic history of T. arvense including 19 populations from China was inferred by using three chloroplast (cp) DNA segments (trnL-trnF, rpl32-trnL and rps16) and one nuclear (n) DNA segment (Fe-regulated transporter-like protein, ZIP). A total of 11 chloroplast haplotypes and six nuclear alleles were identified, and haplotypes unique to the QTP were recognized (C4, C5, C7 and N4). On the basis of molecular dating, haplotypes C4, C5 and C7 have separated from others around 1.58 Ma for cpDNA, which corresponds to the QTP uplift. In addition, this article suggests that the T. arvense populations in China are a mixture of diverged subpopulations as inferred by hT/vT test (hT ≤ vT, cpDNA) and positive Tajima's D values (1.87, 0.05 < p < 0.10 for cpDNA and 3.37, p < 0.01 for nDNA). Multimodality mismatch distribution curves and a relatively large shared area of suitable environmental conditions between the Last Glacial Maximum (LGM) as well as the present time recognized by MaxEnt software reject the sudden expansion population model.

    Keywords: MaxEnt, Qinghai-Tibetan Plateau, admixture, molecular dating, population structure

  • Call A, Sun Y, Yu Y, Pearman P, Thomas D, Trigiano R et al. (2015)

    Genetic structure and post-glacial expansion of Cornus florida L. (Cornaceae): integrative evidence from phylogeography, population demographic history, and species distribution modeling

    Journal of Systematics and Evolution.

    Repeated global climatic cooling and warming cycles during the Pleistocene played a major role in the distribution and evolution of the Earth biota. Here, we integrate phylogeography, coalescent-based Bayesian estimation of demographic history, and species distribution modeling (SDM) to understand the genetic patterns and biogeography of the flowering dogwood, Cornus florida subsp. florida L., since the Last Glacial Maximum (LGM). Natural populations of the species are severely threatened by dogwood anthracnose. We genotyped 306 plants from 73 locations of the species across most of its native distribution with three DNA regions from the plastid genome, ndhF-rpl32, rps16 and trnQ-rps16. The genealogy and haplotype network reconstruction revealed two haplotype lineages diverging ≈3.70 million years ago. We detected no clear geographic structuring of genetic variation, although significant local structure appeared to be evident, likely due to a combination of substantial localized seed dispersal by small mammals and small population size/limited sampling at a location. The spatial distribution of haplotype frequencies, estimated population demographic history, and results from hindcasting analysis using SDM suggested refugia in southeastern North America and population reduction during the LGM, followed by rapid post-glacial expansion to the north. Forecasting analysis using SDM predicted range shifts to the north under ongoing global warming. Our results further suggested that gene flow via seed dispersal has been high but insufficient to counter the effect of genetic drift. This study demonstrates the benefit of integrating genetic data and species distribution modeling to obtain corroborative evidence in elucidating recent biogeographic history and understanding of genetic patterns and species evolution.

    Keywords: Bayesian skyride plot, Cornus florida, LGM, phylogeography, plastid DNA, post-glacial range expansion, species distribution modeling

  • Cheng D, Xu L (2015)

    Predicting the potential distributions of Senecio vulgaris L. in China

    Predicting potential distribution for alien plants by species distribution model (SDM, or Ecological Niche Model) using occurrence data and habitat environmental variables plays an important role in management of the invasive risk by an alien plant. Common groundsels (Senecio vulgaris, Asteracea), native in Eurasia and North Africa, has been a cosmopolitan weed in temperature and also listed as one of invasive plants in China. We predict the potential distribution of this species in the world and in China particularly in Maxent (maximum entropy) models by using global occurrence records of S. vulgaris and the associated climate variables. The occurrence data were collected from the online databases, Global Biodiversity Information Facility database (GBIF), Chinese Virtual Herbarium database (CVH), and also from field work in China. The climate variables were download from WorldClim ( The occurrence records showed that S. vulgaris is present in 16 provinces or regions in north – eastern, south – western, central and north China, and almost not present in south – eastern, north – western China. The mapping of S. vulgaris potential distribution is diagonally across China, including the north – eastern, south – western China, and the cool area between the two regions. Analysis of the contribution and importance of climatic factors in the prediction model indicated that S. vulgaris adapts to the climate in humid and cool area in China (annual mean temperature ranges 2.4 ~ 17.5 ℃, and annual precipitation ranges 550 ~ 1500 mm). It is suggested that special attention should be paid to the plain in NE China and Shandong Peninsula, Yungui Plateau, the cool mountain area around Sichuan basin, in western Hubei, southern Shaanxi, Shanxi and around Beijing in order to manage the invasion risk by S. vulgaris. The better performance of the model built by using occurrence data in China than that by using the global data in relation the predict outcome in China imply that it is might be better to use regional data than the global data when predict potential distribution for an alien plant with long invasive history in study area.

    Keywords: ArcGis, Climatic threshold, DivGis, Ecological niche model, Maxent, Species distribution model

  • Egan A, Pan B (2015)

    Pueraria stracheyi, a new synonym to Apios carnea (Fabaceae)

    Phytotaxa 218(2) 147.

    Pueraria stracheyi has long been recognized as erroneously placed in the genus Pueraria . Here we examined the history behind this collection, past hypotheses concerning its taxonomic affinities, and morphological and ecological comparisons with Shuteria and Apios carnea , wherein we conclude that Pueraria stracheyi represents a synonym of the latter.

    Keywords: Eudicots, India, Leguminosae, Shuteria, Sir Richard Strachey, taxonomy

  • Escobar L, Awan M, Qiao H (2015)

    Anthropogenic disturbance and habitat loss for the red-listed Asiatic black bear (Ursus thibetanus): Using ecological niche modeling and nighttime light satellite imagery

    Biological Conservation 191 400-407.

    Habitat loss is a critical factor driving extinction of biodiversity worldwide, with models of future land use anticipating increases in rates of destruction of native habitats worldwide. The Asian black bear (Ursus thibetanus) is a red-listed species with a broad geographic range that has been fragmented dramatically by land use change. Remaining populations of U. thibetanus occupy diverse habitats, ranging from highlands to coastal regions. We integrated ecological niche models (ENMs) with nighttime satellite imagery to identify areas suitable for U. thibetanus after anthropogenic alteration. We found that at least 10% of the potential distributional area for the species is not suitable owing to urban or suburban encroachment. U. thibetanus seems to persist in highland areas, characterized by low temperature and high precipitation, whereas humans concentrate in lowlands and less-extreme climatic conditions. ENMs based solely on climate frequently overestimate suitable areas available for species; nighttime light imagery offers a robust alternative to refining estimates of species' ranges, designing protected areas and corridors, prioritizing threatened species, and determining areas of human–wildlife conflict across broad areas. Our approach is transferable to other taxa and contexts, and should be considered in conservation planning and policy implementation.

    Keywords: Disturbance, Ecological niche model, Habitat loss, Land use change, Nighttime lights, Ursus thibetanus

  • Fandohan A, Oduor A, Sodé A, Wu L, Cuni-Sanchez A, Assédé E et al. (2015)

    Modeling vulnerability of protected areas to invasion by Chromolaena odorata under current and future climates

    Ecosystem Health and Sustainability 1(6) art20.

    Invasive plant species and climate change are among the biggest threats to the ecological integrity of many ecosystems, including those of protected areas. Effective management of invasive plants requires information regarding their spatial distributions. Using maximum entropy, we modeled habitat suitability for an invasive plant species Chromolaena odorata under current and future climatic conditions (HadGEM2-ES and MIROC5) in protected areas of four West African countries (Benin, Côte d'Ivoire, Ghana, and Togo). Under current climatic conditions, approximately 73% of total land area within the protected areas was suitable for colonization by C. odorata. Under future climate projections, the total area of suitable habitats for this invasive plant was projected to decrease by 7–9% (HadGEM2-ES) and 12–14% (MIROC5). Country-specific patterns suggest that major protected areas in Côte d'Ivoire and Ghana will be more vulnerable to invasion by C. odorata than those in Benin and Togo under both current and futu...

    Keywords: Chromolaena odorata, HadGEM2-ES, MIROC5, Siam weed, West Africa, climate change, maximum entropy, representative concentration pathways, risk assessment