Uses of GBIF in scientific research

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

List of publications

  • Arango S, Obando R, Aldrete A (2017)

    New species of Prolachesilla Mockford & Sullivan (Psocodea: ‘Psocoptera’: Lachesillidae: Graphocaeciliini) from Bolivia and Mexico

    Zootaxa 4244(3) 440.

    The genus Prolachesilla Mockford & Sullivan presently includes nine species, all described when the genus was erected; since then, no other species have been discovered. Here, we describe and illustrate one Bolivian and three Mexican species. This is the first record of Prolachesilla from Bolivia. A key to the species of the genus is included.

    Keywords: Cochabamba, Oaxaca, neotropics, sympatry, taxonomy

  • Barbosa C, Otalora J, Giehl E, Villalobos F, Loyola R, Tessarolo G et al. (2017)

    Changes in the realized niche of the invasive succulent CAM plant Furcraea foetida

    Austral Ecology.

    Furcraea foetida (Asparagaceae) is a native plant of Central America and northern South America but there is no information about its country of origin. The species was introduced into Brazil and is now considered invasive, particularly in coastal ecosystems. To date, nothing is known about the environmental factors that constrain its distribution and there is only inconclusive information about its location of origin. We used reciprocal distribution models (RDM) to assess invasion risk of F. foetida across Brazil and to identify source regions in its native range. We also tested the niche conservatism hypothesis using Principal Components Analyses and statistical tests of niche equivalency and similarity between its native and invaded ranges. For RDM analysis, we built two models using maximum entropy, one using records in the native range to predict the invaded distribution (forward-Ecological Niche Model or forward-ENM) and one using records in the invaded range to predict the native distribution (reverse-ENM). Forward-ENM indicated invasion risk in the Cerrado region and the innermost region of the Atlantic Forest, however, failed to predict the current occurrence in southern Brazil. Reverse-ENM supported an existing hypothesis that F. foetida originated in the Orinoco river basin, Amazon basin and Caribbean islands. Prediction errors in the RDM and multivariate analysis indicated that the species expanded its realized niche in Brazil. The niche similarity test further suggested that the niche differences are because of differences in habitat availability between the two ranges, not because of evolutionary changes. We hypothesize that physiological pre-adaptation (especially, the crassulacean acid metabolism), human-driven propagule pressure and high competitive ability are the main factors determining the current spatial distribution of the species in Brazil. Our study highlights the need to include F. foetida in plant invasion monitoring programs, especially in priority conservation areas where the species has still not been introduced.

    Keywords: clonal plant, ecological niche models, invasion risk, niche conservatism, reciprocal distribution models

  • Correa Ayram C, Mendoza M, Etter A, Pérez Salicrup D (2017)

    Anthropogenic impact on habitat connectivity: A multidimensional human footprint index evaluated in a highly biodiverse landscape of Mexico

    Ecological Indicators 72 895-909.

    Evaluating the cumulative effects of the human footprint on landscape connectivity is crucial for implementing policies for the appropriate management and conservation of landscapes. We present an adjusted multidimensional spatial human footprint index (SHFI) to analyze the effects of landscape transformation on the remnant habitat connectivity for 40 terrestrial mammal species representative of the Trans-Mexican Volcanic System in Michoacán (TMVSMich), in western central Mexico. We adjusted the SHFI by adding fragmentation and habitat loss to its original three components: land use intensity, time of human landscape intervention, and biophysical vulnerability. The adjusted SHFI was applied to four scenarios: one grouping all species and three grouping several species by habitat spatial requirements. Using the SHFI as a dispersal resistance surface and applying a circuit theory based approach, we analyzed the effects of cumulative human impact on habitat connectivity in the different scenarios. For evaluating the relationship between habitat loss and connectivity, we applied graph theory-based equivalent connected area (ECA) index. Results show over 60% of the TMVSMich has high SHFI values, considerably lowering current flow for all species. Nevertheless, the effect on connectivity of human impact is higher for species with limited dispersal capacity (100–500m). Our approach provides a new form of evaluating human impact on habitat connectivity that can be applied to different scales and landscapes. Furthermore, the approach is useful for guiding discussions and implementing future biodiversity conservation initiatives that promote landscape connectivity as an adaptive strategy for climate change.

    Keywords: Cumulative human impact, Habitat connectivity, Mexico, Multi-species

  • De Pooter D, Appeltans W, Bailly N, Bristol S, Deneudt K, Eliezer M et al. (2017)

    Toward a new data standard for combined marine biological and environmental datasets - expanding OBIS beyond species occurrences

    Biodiversity Data Journal 5 e10989.

    The Ocean Biogeographic Information System (OBIS) is the world’s most comprehensive online, open-access database of marine species distributions. OBIS grows with millions of new species observations every year. Contributions come from a network of hundreds of institutions, projects and individuals with common goals: to build a scientific knowledge base that is open to the public for scientific discovery and exploration and to detect trends and changes that inform society as essential elements in conservation management and sustainable development. Until now, OBIS has focused solely on the collection of biogeographic data (the presence of marine species in space and time) and operated with optimized data flows, quality control procedures and data standards specifically targeted to these data. Based on requirements from the growing OBIS community to manage datasets that combine biological, physical and chemical measurements, the OBIS-ENV-DATA pilot project was launched to develop a proposed standard and guidelines to make sure these combined datasets can stay together and are not, as is often the case, split and sent to different repositories. The proposal in this paper allows for the management of sampling methodology, animal tracking and telemetry data, biological measurements (e.g., body length, percent live cover, ...) as well as environmental measurements such as nutrient concentrations, sediment characteristics or other abiotic parameters measured during sampling to characterize the environment from which biogeographic data was collected. The recommended practice builds on the Darwin Core Archive (DwC-A) standard and on practices adopted by the Global Biodiversity Information Facility (GBIF). It consists of a DwC Event Core in combination with a DwC Occurrence Extension and a proposed enhancement to the DwC MeasurementOrFact Extension. This new structure enables the linkage of measurements or facts - quantitative and qualitative properties - to both sampling events and species occurrences, and includes additional fields for property standardization. We also embrace the use of the new parentEventID DwC term, which enables the creation of a sampling event hierarchy. We believe that the adoption of this recommended practice as a new data standard for managing and sharing biological and associated environmental datasets by IODE and the wider international scientific community would be key to improving the effectiveness of the knowledge base, and will enhance integration and management of critical data needed to understand ecological and biological processes in the ocean, and on land.

    Keywords: Darwin Core Archive, data standardisation, ecosystem data, environmental data, oceanographic data, sample event, species occurrence, telemetry data

  • Del Olmo-Ruiz M, García-Sandoval R, Alcántara-Ayala O, Véliz M, Luna-Vega I (2017)

    Current knowledge of fungi from Neotropical montane cloud forests: distributional patterns and composition

    Biodiversity and Conservation.

    Montane cloud forests in the Neotropics harbor a great wealth of biological diversity and a large number of endemic species. Here, we present (i) a comprehensive data mining exercise of fungi from Neotropical montane cloud forests (NMCF), (ii) an extensive review of the current knowledge of fungal richness, distribution and composition, and (iii) a preliminary analysis of fungal endemicity in Mexican montane cloud forests. Based on a survey of literature and other sources, we assembled a database of 6349 records representing 2962 fungal species in NMCF. The computed individual-based species rarefaction curve remained non-asymptotic, and the extrapolation curve estimated an expected increment of 42% in the number of species by doubling the sampling effort. Fungal species richness was highest in NMCF from Mesoamerica, particularly from Mexico and Costa Rica. Fungi from Mesoamerica, Caribbean and South America are significantly different at diverse taxonomic levels, and there is a little overlap in the fungal species recorded from these regions. The analyses of endemicity of the Mexican dataset performed with parsimony and Bayesian methods were highly complementary. They showed the following areas of endemicity supported by the congruent distribution of fungal species: (i) two main regions in the Trans-Mexican Volcanic Belt (TMVB); (ii) a region in the southern part of Veracruz; and (iii) a region located in the eastern part of TMVB with affinities with Sierra Madre Oriental and the Chiapan-Guatemala Highlands. This last area was supported by five species of Glomeromycota and is consistent with an area of endemicity previously found in vascular plants. In this study, we provide a perspective on gaps in knowledge regarding the diversity and distribution of fungi in NMCF, and provide a full dataset of fungal records with geographical, bibliographic and taxonomic information.

    Keywords: Agaricomycetes, Fungal distribution, Fungal richness, Lecanoromycetes, Tropical fungi

  • Feldman R, Peers M, Pickles R, Thornton D, Murray D (2017)

    Climate driven range divergence among host species affects range-wide patterns of parasitism

    Global Ecology and Conservation 9 1-10.

    Species interactions like parasitism influence the outcome of climate-driven shifts in species ranges. For some host species, parasitism can only occur in that part of its range that overlaps with a second host species. Thus, predicting future parasitism may depend on how the ranges of the two hosts change in relation to each other. In this study, we tested whether the climate driven species range shift of Odocoileus virginianus (white-tailed deer) accounts for predicted changes in parasitism of two other species from the family Cervidae, Alces alces (moose) and Rangifer tarandus (caribou), in North America. We used MaxEnt models to predict the recent (2000) and future (2050) ranges (probabilities of occurrence) of the cervids and a parasite Parelaphostrongylus tenuis (brainworm) taking into account range shifts of the parasite’s intermediate gastropod hosts. Our models predicted that range overlap between A. alces/R. tarandus and P. tenuis will decrease between 2000 and 2050, an outcome that reflects decreased overlap between A. alces/R. tarandus and O. virginianus and not the parasites, themselves. Geographically, our models predicted increasing potential occurrence of P. tenuis where A. alces/R. tarandus are likely to decline, but minimal spatial overlap where A. alces/R. tarandus are likely to increase. Thus, parasitism may exacerbate climate-mediated southern contraction of A. alces and R. tarandus ranges but will have limited influence on northward range expansion. Our results suggest that the spatial dynamics of one host species may be the driving force behind future rates of parasitism for another host species.

    Keywords: Boreal, Cervidae, Climate change, Evolution, Parasitism, Synergistic effects

  • González-Salazar C, Stephens C, Sánchez-Cordero V (2017)

    Predicting the Potential Role of Non-human Hosts in Zika Virus Maintenance

    EcoHealth 1-7.

    Arboviruses are often maintained in complex cycles involving vertebrates such as mammals or birds and blood-feeding mosquitoes. However, the role of wildlife hosts in their emergence or re-emergence in human populations has received little attention. The recent emergence of Zika virus in America, and previous occurrences of chikungunya and dengue, forces us to confront a potential new disease-emergence phenomenon. Using a spatial data mining framework to identify potential biotic interactions, based on the degree of co-occurrence between different species, we identified those mammal species with the highest potential for establishing mammal–vector interactions, considering as principal vector Aedes aegypti. Seven of the top ten identified mammal species with highest potential were bats, with two of them having previously been confirmed as positive hosts for dengue in Mexico. We hope that this will raise interest of Mexican public health authorities and academic institutions to assess the role of wild hosts in the maintenance and spread of arboviruses.

    Keywords: Aedes aegypti, Arbovirus, Chikungunya, Dengue, Wildlife host, Zika virus

  • Hernández-Salinas U, Ramírez-Bautista A, Montiel-Canales G C (2017)

    Historical and ecological biogeography of the genus Crotalus in Mexico

    Herpetological Journal 26 99-108.

    The genus Crotalus is well represented in all biogeographic provinces including most major vegetation communities and climatic zones described for Mexico. For this reason, we use the assumptions of panbiogeography with the objective to establish a biogeographic framework for the 26 species of rattlesnakes native to Mexico. On the basis of 1472 records, 26 individual tracks derived from the distribution of each species resulted in two generalised tracks. The first is located in the Peninsula of Baja California, in the biogeographic provinces of California and Baja California, and is identified by three species (C. enyo, C. mitchellii and C. ruber). The second generalised track is located on the eastern portion of the Transmexican Volcanic Belt, the Balsas Basin, and Sierra Madre del Sur, supported by C. ravus and C. intermedius. An analysis of partition of variance found that vegetation explains the most variation in the distribution of species. Very similar results were obtained by analysis of ancestral reconstruction for biogeographic provinces, vegetation types and elevation. Our results are consistent with different climatic events during the Pleistocene, and tectonic events such as the lifting of the Sierra Madre Occidental and Sierra Madre Oriental. In addition, our results showed similarities with historical distributions of birds, mammals and beetles. Further studies of the distribution and phylogeography of other groups of reptiles with significant information gaps in their historical and current distribution are needed to shed further light on the biogeography and diversity of reptiles of Mexico.

    Keywords: Aedes aegypti, Arbovirus, Chikungunya, Dengue, Wildlife host, Zika virus

  • Ibarra-Cerdeña C, Valiente-Banuet L, Sánchez-Cordero V, Stephens C, Ramsey J (2017)

    Trypanosoma cruzi reservoir—triatomine vector co-occurrence networks reveal meta-community effects by synanthropic mammals on geographic dispersal

    PeerJ 5 e3152.

    Contemporary patterns of land use and global climate change are modifying regional pools of parasite host species. The impact of host community changes on human disease risk, however, is difficult to assess due to a lack of information about zoonotic parasite host assemblages. We have used a recently developed method to infer parasite-host interactions for Chagas Disease (CD) from vector-host co-occurrence networks. Vector-host networks were constructed to analyze topological characteristics of the network and ecological traits of species’ nodes, which could provide information regarding parasite regional dispersal in Mexico. Twenty-eight triatomine species (vectors) and 396 mammal species (potential hosts) were included using a data-mining approach to develop models to infer most-likely interactions. The final network contained 1,576 links which were analyzed to calculate centrality, connectivity, and modularity. The model predicted links of independently registered Trypanosoma cruzi hosts, which correlated with the degree of parasite-vector co-occurrence. Wiring patterns differed according to node location, while edge density was greater in Neotropical as compared to Nearctic regions. Vectors with greatest public health importance ( i.e., Triatoma dimidiata , T. barberi , T. pallidipennis , T. longipennis , etc), did not have stronger links with particular host species, although they had a greater frequency of significant links. In contrast, hosts classified as important based on network properties were synanthropic mammals. The latter were the most common parasite hosts and are likely bridge species between these communities, thereby integrating meta-community scenarios beneficial for long-range parasite dispersal. This was particularly true for rodents, >50% of species are synanthropic and more than 20% have been identified as T. cruzi hosts. In addition to predicting potential host species using the co-occurrence networks, they reveal regions with greater expected parasite mobility. The Neotropical region, which includes the Mexican south and southeast, and the Transvolcanic belt, had greatest potential active T. cruzi dispersal, as well as greatest edge density. This information could be directly applied for stratification of transmission risk and to design and analyze human-infected vector contact intervention efficacy.

    Keywords: Chagas disease, Co-occurrence, Complex networks, Data-mining, Mexico, Triatominae, Vector-host interactions, Zoonotic disease

  • Jacinto-Padilla J, Lopez-Collado J, Lopez-Collado C, García-García C (2017)

    Species distribution modeling for wildlife management: Ornamental butterflies in México

    Journal of Asia-Pacific Entomology 20(2) 627-636.

    Butterflies are biotic natural resources that have an economic value in different countries because of their aesthetic features. The objective of this paper was to estimate the geographic distribution of 17 species considered of ornamental importance in México. Presence data was compiled from specialized sources and public databases. Distribution maps were generated for each species with MaxEnt, using predictor variables related to temperature and precipitation. A spatial similarity and species diversity analysis was applied to group the species based on their geographic distribution. The distribution models were considered appropriate based on the Area Under the Curve, which ranged from 0.75 to 0.94 computed with independent data. Three geographic groups were identified; the first group had the largest coverage (% of national area) and comprised the species Pyrisitia proterpia (59%), Danaus gilippus (70%) and Zerene cesonia (72%). The second group ranged in coverage from 23% (Archaeoprepona demophon) to 50% (Anteos maerula), while the third group had the smallest coverage, ranging from 17% to 40%. Overall, the species diversity presents a latitudinal gradient, increasing from the north to the southern, Neotropical part of México. States with the highest species potential are Veracruz, Tabasco, Colima, Michoacán, Guerrero, Chiapas, Oaxaca, and most of the Yucatan peninsula. The application of these results to use butterflies to make souvenirs and as components of ecotourism is discussed.

    Keywords: Chagas disease, Co-occurrence, Complex networks, Data-mining, Mexico, Triatominae, Vector-host interactions, Zoonotic disease