The use of Global Biodiversity Information Facility (GBIF)-mediated data in publications written in Chinese

  title={The use of Global Biodiversity Information Facility (GBIF)-mediated data in publications written in Chinese},
  author={Maofang Luo and Zheping Xu and Tim Hirsch and Thant Sin Aung and Wubing Xu and Liqiang Ji and Haining Qin and Keping Ma},
  journal={Global Ecology and Conservation},
6 Citations
Open Data Practices among Users of Primary Biodiversity Data
It is indicated that biodiversity research commonly relies on presence-only data that are not openly available and neglects to make such data available, and improved data sharing and documentation will increase the value, reusability, and reproducibility of biodiversity research.
Omnidirectional connectivity for the Andean bear (Tremarctos ornatus) across the Colombian Andes
Context Conserving or restoring connectivity is a common objective of landscape-scale conservation initiatives. However, precise species occurrence or movement data to inform or validate spatial
Remarks on the nomenclature of Anthurium ×macrolobum (Araceae)
A detailed nomenclatural study of the name Anthurium ×macrolobum, an accepted artificial hybrid between A. leuconeurum and A. pedatoradiatum, which is a popular ornamental houseplant cultivated around the world, finds its conservation against of A. ×dentatum by Devansaye is desirable.
Typification of 18 Old World taxa in Dioscorea (Dioscoreaceae)
The names of 18 species and two varieties of Dioscorea L. (Dioscoreaceae) described from the Old World (Africa excluded) by D. Prain and I. H. Burkill have been typified after careful examination of
Insecticide and acaricide resistant lines of Tetranychus viennensis and Macrosiphum rosae were found in two greenhouse complexes in Yerevan.


Biodiversity science and macroecology in the era of big data
: High-quality biodiversity data are the scientific basis for understanding the origin and maintenance of biodiversity and dealing with its extinction risk. Currently, we identify at least seven
Can we derive macroecological patterns from primary Global Biodiversity Information Facility data
In studies of macroecological patterns at a global scale, the simple α-shape method seems to be a more parsimonious option for extrapolating species distributions from primary data than are distribution models performed indiscriminately and automatically with MaxEnt.
Estimating species diversity and distribution in the era of Big Data: to what extent can we trust public databases?
Open databases and integrative bioinformatic tools allow a rapid approximation of large‐scale patterns of biodiversity across space and altitudinal ranges, and it is found that geographic inaccuracy affects diversity patterns more than taxonomic uncertainties.
Multidimensional biases, gaps and uncertainties in global plant occurrence information.
This study provides an empirical baseline for evaluating and improving global floristic knowledge, along with a conceptual framework that can be applied to study other hyperdiverse clades.
Languages Are Still a Major Barrier to Global Science
Scientists are urged to make a more concerted effort to tackle language barriers to scientific knowledge and propose potential approaches both for compiling non-English scientific knowledge effectively and for enhancing the multilingualization of new and existing knowledge available only in English for the users of such knowledge.
Big data and the future of ecology
The need for sound ecological science has escalated alongside the rise of the information age and “big data” across all sectors of society. Big data generally refer to massive volumes of data not
Research on the global ecological suitability and characteristics of regions with Angelica sinensis based on the MaxEnt model
In order to investigate the global ecological suitability and characteristics of regions for the medicinal plant Angelica sinensis, a maximum entropy model (MaxEnt) and geographic information system
A data citation roadmap for scientific publishers
This article presents a practical roadmap for scholarly publishers to implement data citation in accordance with the Joint Declaration of Data Citation Principles (JDDCP), a synopsis and
Predicting species distributions for conservation decisions
It is proposed that species distribution modellers should get involved in real decision-making processes that will benefit from their technical input and have the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes.
[Potential distribution of Panax ginseng and its predicted responses to climate change.]
An ensemble model is established, which could improve the accuracy of the existing species distribution models, and optimization of species distribution prediction results, and according to the goodness-of-fit, Maxent had the highest model performance, and GAM, RF and ANN were followed, while SRE had the lowest prediction accuracy.