Mapping species distributions with social media geo-tagged images: Case studies of bees and flowering plants in Australia

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Ecological Informatics

• Publication date

  2017-05-01

• Fields of study

  Biology, Computer Science, Environmental Science

• Identifiers
  DOI 10.1016/J.ECOINF.2017.02.006
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Shakers and head bangers: differences in sonication behavior between Australian Amegilla murrayensis (blue-banded bees) and North American Bombus impatiens (bumblebees)

  2016cited by this paper
• Are species occurrence data in global online repositories fit for modeling species distributions? The case of the Global Biodiversity Information Facility (GBIF). Final Report of the Task Group on GBIF Data Fitness for Use in Distribution Modelling.

  2016cited by this paper
• Mining Twitter to monitor invasive alien species - An analytical framework and sample information topologies

  2016cited by this paper
• Discovering and developing primary biodiversity data from social networking sites

  2015influential reference
• Photo Based Volunteered Geographic Information Initiatives: A Comparative Study of their Suitability for Helping Quality Control of Corine Land Cover

  2014cited by this paper
• Flickr Geotagged and Publicly Available Photos: Preliminary Study of Its Adequacy for Helping Quality Control of Corine Land Cover

  2013cited by this paper
• Online solutions and the ‘Wallacean shortfall’: what does GBIF contribute to our knowledge of species' ranges?

  2013cited by this paper
• Three Periods of Regulatory Innovation During Vertebrate Evolution

  2011cited by this paper
• Potential effects of climate change on crop pollination.

  2011cited by this paper
• Foraging behaviour of a blue banded bee, Amegilla chlorocyanea in greenhouses: implications for use as tomato pollinators

  2011cited by this paper
• From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series

  2010cited by this paper
• Eu-Social Science: The Role of Internet Social Networks in the Collection of Bee Biodiversity Data

  2010cited by this paper
• Towards detecting influenza epidemics by analyzing Twitter messages

  2010cited by this paper
• Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment

  2010cited by this paper
• Social networking for biodiversity: The BeeID project

  2010cited by this paper
• Economic valuation of the vulnerability of world agriculture confronted with pollinator decline

  2009cited by this paper
• The size of wild honeybee populations (Apis mellifera) and its implications for the conservation of honeybees

  2007cited by this paper
• Importance of pollinators in changing landscapes for world crops

  2007cited by this paper
• Parallel Declines in Pollinators and Insect-Pollinated Plants in Britain and the Netherlands

  2006cited by this paper
• Invasion theory and biological control

  2002cited by this paper
• Abundance–occupancy relationships

  2000cited by this paper
• PARASITES AND OTHER ORGANISMS ASSOCIATED WITH NESTS OF AMEGILLA FRIESE (HYMENOPTERA: ANTHOPHORINAE)

  1968cited by this paper

• Social media data reveal novel habitats for invasive species

  2026cites this paper
• Can Google trends be used to estimate the geographic distribution of alien plants in the United States?

  2026cites this paper
• Data quality issues in data used in species distribution models: A systematic literature review

  2025cites this paper
• Challenges of passive citizen science in ecology within a shifting social media landscape

  2025cites this paper
• Intercity human dynamics during holidays through the lens of travel movement–intention interactions in the hybrid physical–virtual space

  2025cites this paper
• Exploring new mangrove horizons: A scalable remote sensing approach with Planet-NICFI and Sentinel-2 images

  2025cites this paper
• A citizen science photo guide of plants and bee visitors in the Eastern Afromontane Biodiversity Hotspot of Kenya

  2025cites this paper
• Can citizen science and social media images support the detection of new invasion sites? A deep learning test case with Cortaderia selloana

  2024cites this paper
• Instagram data for validating Nothofagus pumilio distribution mapping in the Southern Andes: A novel ground truthing approach

  2024cites this paper
• Leveraging social media and community science data for environmental niche models: A case study with native Australian bees

  2024cites this paper
• Uncertainties in Plant Species Niche Modeling under Climate Change Scenarios

  2024cites this paper
• The Sailfin Catfish (Pterygoplichthys spp.) as a non-native aquarium pet: assessment of the potential distribution and public perception

  2023cites this paper
• Image background assessment as a novel technique for insect microhabitat identification

  2023cites this paper
• The spatiotemporal signature of cherry blossom flowering across Japan revealed via analysis of social network site images

  2023cites this paper
• Investigating the potential of social media and citizen science data to track changes in species' distributions

  2023influential citation
• Citizen Science in Action: An Updated Distribution for Lampropeltis pyromelana

  2023cites this paper
• Social media data from two iconic Neotropical big cats: can this translate to action?

  2023cites this paper
• A new resource for monitoring reef ecosystems: The background of recreational diver photographs contains valuable habitat data

  2023cites this paper
• Can social media be used to inform the distribution of the marbled polecat, Vormela peregusna?

  2023cites this paper
• Tag Frequency Difference: Rapid estimation of image set relevance for species occurrence data using general-purpose image classifiers

  2022cites this paper
• Citizen science reveals current distribution, predicted habitat suitability and resource requirements of the introduced African Carder Bee Pseudoanthidium (Immanthidium) repetitum in Australia

  2022cites this paper
• Snapshots of Nature-Based Recreation Across Rural Landscapes: Insights from Geotagged Photographs in the Northeastern United States

  2022cites this paper
• The Utility of Acoustic Citizen Science Data in Understanding Geographic Distributions of Morphologically Conserved Species: Frogs in the Litoria phyllochroa Species Group

  2022cites this paper
• A text and image analysis workflow using citizen science data to extract relevant social media records: Combining red kite observations from Flickr, eBird and iNaturalist

  2022cites this paper
• Social media and citizen science records are important for the management of rarely sighted whales

  2022cites this paper
• The use of photos to investigate ecological change

  2022cites this paper
• Evaluating the benefits and risks of social media for wildlife conservation

  2022cites this paper
• A description of Dendronotus shpataki sp. nov. (Gastropoda: Nudibranchia) from the Sea of Japan: a contribution of citizen science to marine zoology

  2022cites this paper
• Collecting, analyzing, and visualizing location-based social media data: review of methods in GIS-social media analysis

  2022cites this paper
• USING GEO GEO-TAGGED FLICKR IMAGES TO EXPLORE THE CORRELATION BETWEEN LAND COVER CLASSES AND THE LOCATION OF BIRD OBSERVATIONS

  2021cites this paper
• Online media reveals a global problem of discarded containers as deadly traps for animals

  2021cites this paper
• Potential for online crowdsourced biological recording data to complement surveillance for arthropod vectors

  2021cites this paper
• Mapping relationships between mobile phone call activity and regional function using self-organizing map

  2021cites this paper
• Social media data crowdsourcing as a new stream for environmental planning & monitoring: A review

  2021cites this paper
• Passive citizen science: The role of social media in wildlife observations

  2021cites this paper
• Social Media and GIScience: collection, analysis, and visualization of user-generated spatial data

  2021cites this paper
• Seasonality in Human Interest in Berry Plants Detection by Google Trends

  2021cites this paper
• Monitoring photogenic ecological phenomena: Social network site images reveal spatiotemporal phases of Japanese cherry blooms

  2021cites this paper
• Identifying wildlife observations on twitter

  2021influential citation
• Bee Representations in Human Art and Culture through the Ages

  2021cites this paper
• Monitoring crop phenology with street-level imagery using computer vision

  2021cites this paper
• Redes sociais no contexto da conservação de mamíferos terrestres: conectando a dimensão humana ao universo digital

  2020cites this paper
• Assessment of volunteered geographic information for vegetation mapping

  2020cites this paper
• Mapping Species distribution in space and time using social network site geotagged photos

  2020cites this paper
• iEcology: Harnessing Large Online Resources to Generate Ecological Insights.

  2020cites this paper
• Computer vision-enhanced selection of geo-tagged photos on social network sites for land cover classification

  2020cites this paper
• Predicting environmental features by learning spatiotemporal embeddings from social media

  2020cites this paper
• Digital Ecology: New Technologies Are Revolutionizing Ecology

  2020cites this paper
• Exploiting Flickr meta-data for predicting environmental features

  2019cites this paper
• Exploring snake occurrence records: Spatial biases and marginal gains from accessible social media

  2019cites this paper
• Passive crowdsourcing of social media in environmental research: A systematic map

  2019cites this paper
• Developing a global indicator for Aichi Target 1 by merging online data sources to measure biodiversity awareness and engagement

  2019cites this paper
• Whale watching in Sri Lanka: Understanding the metadata of crowd-sourced photographs on FlickrTM social media platform

  2019influential citation
• Photo‐sharing platforms key for characterising niche and distribution in poorly studied taxa

  2019cites this paper
• Predicting the timing of ecological phenomena using dates of species occurrence records: a methodological approach and test case with mushrooms

  2019cites this paper
• Citizen-science for monitoring marine invasions and stimulating public engagement: a case project from the eastern Mediterranean

  2019cites this paper
• Black spot syndrome in reef fishes: using archival imagery and field surveys to characterize spatial and temporal distribution in the Caribbean

  2019cites this paper
• Challenges and Opportunities of Social Media Data for Socio-Environmental Systems Research

  2019cites this paper
• A hybrid is born: Integrating collective sensing, citizen science and professional monitoring of the environment

  2019cites this paper
• Uncertainty in Marine Invasion Science

  2018cites this paper
• Using Social Media for Biomonitoring: How Facebook, Twitter, Flickr and Other Social Networking Platforms Can Provide Large-Scale Biodiversity Data

  2018cites this paper
• Testing the potential of Twitter mining methods for data acquisition: Evaluating novel opportunities for ecological research in multiple taxa

  2018cites this paper
• Agricultural Research Using Social Media Data

  2018influential citation
• Embedding Geographic Locations for Modelling the Natural Environment using Flickr Tags and Structured Data

  2018cites this paper
• Mapping Wildlife Species Distribution With Social Media: Augmenting Text Classification With Species Names (Short Paper)

  2018cites this paper
• A machine learning approach for the spatiotemporal forecasting of ecological phenomena using dates of species occurrence records

  2018cites this paper
• MONITORING PLANTING PROGRESS USING SOCIAL MEDIA DATA To

  2017influential citation
• Sampling alien species inside and outside protected areas: Does it matter?

  2017cites this paper
• Complexity in Landscape Ecology

  2006cites this paper