The presented list does not represent an endorsement of the papers or their content
2022
Besson, M., Alison, J., Bjerge, K., Gorochowski, T.E., Høye, T.T., Jucker, T., Mann, H.M.R., Clements, C.F., 2022. Towards the fully automated monitoring of ecological communities. Ecology Letters.
Borowiec, M.L., Dikow, R.B., Frandsen, P.B., McKeeken, A., Valentini, G., White, A.E., 2022. Deep learning as a tool for ecology and evolution. Methods in Ecology and Evolution 13, 1640-1660.
Burke, H.M., Tingley, R., Dorin, A., 2022. Tag Frequency Difference: Rapid estimation of image set relevance for species occurrence data using general-purpose image classifiers. Ecological Informatics, 101598.
Cerri, J., Carnevali, L., Monaco, A., Genovesi, P., Bertolino, S., 2022. Blacklists do not necessarily make people curious about invasive alien species. A case study with Bayesian structural time series and Wikipedia searches about invasive mammals in Italy. NeoBiota 71.
Cerri, J., Lioy, S., Porporato, M., Bertolino, S., 2022. Combining surveys and on-line searching volumes to analyze public awareness about invasive alien species: a case study with the invasive Asian yellow-legged hornet (Vespa velutina) in Italy. NeoBiota 73.
Chowdhury, S., Aich, U., Rokonuzzaman, M., Alam, S., Das, P., Siddika, A., Ahmed, S., Labi, M.M., Di Marco, M., Callaghan, C.T., Fuller, R.A., 2022. Spatial occurrence data for the animals of Bangladesh derived from Facebook. PANGAEA.
Cooke, S.J., Docker, M.F., Mandrak, N.E., Young, N., Heath, D.D., Jeffries, K.M., Howarth, A., Brownscombe, J.W., Livernois, J., Semeniuk, C.A.D., Venturelli, P.A., Danylchuk, A.J., Lennox, R.J., Jarić, I., Fisk, A.T., Vandergoot, C.S., Britton, J.R., Muir, A.M., 2022. Technoscience and the modernization of freshwater fisheries assessment and management. Environmental Technology & Innovation, 102865.
Cornford, R., Millard, J., González-Suárez, M., Freeman, R., Johnson, T.F., 2022. Automated synthesis of biodiversity knowledge requires better tools and standardised research output. Ecography, e06068.
Cranswick, A.S., Constantine, R., Hendriks, H., Carroll, E.L., 2022. Social media and citizen science records are important for the management of rarely sighted whales. Ocean & Coastal Management 226, 106271.
Depauw, L., Blondeel, H., De Lombaerde, E., De Pauw, K., Landuyt, D., Lorer, E., Vangansbeke, P., Vanneste, T., Verheyen, K., De Frenne, P., 2022. The use of photos to investigate ecological change. Journal of Ecology.
Edwards, T., Jones, C.B., Corcoran, P., 2022. Identifying wildlife observations on twitter. Ecological Informatics 67, 101500.
Eryaşar, A.R., Saygu, İ., 2022. Using social media to identify recreational bluefish angling in the Mediterranean and Black Sea. Marine Policy 135, 104834.
Jane, S.F., Smith, K.M., Baker, D., Saroni, A., Cutler, E., Carvalho, P., 2022. News media and fisheries-independent data reveal hidden impacts of hurricanes. Ambio.
Farrell, M.J., Brierley, L., Willoughby, A., Yates, A., Mideo, N., 2022. Past and future uses of text mining in ecology and evolution. Proceedings of the Royal Society B: Biological Sciences 289, 20212721.
Grant, M.I., Bicknell, A.W.J., Htut, T., Maung, A., Maung, T., Myo Myo, K., Rein, T., San, M.K., White, W.T., Ya, K.Z., Mizrahi, M., 2022. Market surveys and social media provide confirmation of the endangered giant freshwater whipray Urogymnus polylepis in Myanmar. Journal of Fish Biology 101, 302-307.
Izquierdo-Gómez, D., 2022. Synergistic use of facebook, online questionnaires and local ecological knowledge to detect and reconstruct the bioinvasion of the Iberian Peninsula by Callinectes sapidus Rathbun, 1896. Biological Invasions 24, 1059-1082.
Jane, S.F., Smith, K.M., Baker, D., Saroni, A., Cutler, E., Carvalho, P., 2022. News media and fisheries-independent data reveal hidden impacts of hurricanes. Ambio.
Jensen, P.M., Danielsen, F., Skarphedinsson, S., 2022. Monitoring Temporal Trends in Internet Searches for "Ticks" across Europe by Google Trends: Tick-Human Interaction or General Interest? Insects 13, 176.
Katzner, T., Thomason, E., Huhmann, K., Conkling, T., Concepcion, C., Slabe, V., Poessel, S., Open-Source Intelligence for Conservation Biology. Conservation Biology.
Lennox, R.J., Sbragaglia, V., Vollset, K.W., Sortland, L.K., McClenachan, L., Jarić, I., Guckian, M.L., Ferter, K., Danylchuk, A.J., Cooke, S.J., Arlinghaus, R., Twardek, W.M., 2022. Digital fisheries data in the Internet age: Emerging tools for research and monitoring using online data in recreational fisheries. Fish and Fisheries.
Leitão, A.T.T.S., Alves, M.D.d.O., dos Santos, J.C.P., Bezerra, B., Instagram as a data source for sea turtle surveys in shipwrecks in Brazil. Animal Conservation.
Liconti, A., Pittman, S.J., Rees, S.E., Mieszkowska, N., 2022. Identifying conservation priorities for gorgonian forests in Italian coastal waters with multiple methods including citizen science and social media content analysis. Diversity and Distributions 28, 1430-1444.
Li, S., Yang, B., 2022. Social media for landscape planning and design: a review and discussion. Landscape Research, 1-16.
Mammola, S., et al. 2022. An expert-curated global database of online newspaper articles on spiders and spider bites. Scientific Data 9, 109.
Page, R.D.M., 2022. Wikidata and the bibliography of life. PeerJ 10, e13712.
Muller, J.R., Selier, S.-A.J., Drouilly, M., Broadfield, J., Leighton, G.R.M., Amar, A., Naude, V.N., The hunter and the hunted: Using web-sourced imagery to monitor leopard (Panthera pardus pardus) trophy hunting. Conservation Science and Practice, e12789.
Nascimento, L.S., Noernberg, M.A., Bleninger, T.B., Hausen, V., Pozo, A., Camargo, L.S., Hara, C.S., Nogueira Júnior, M., 2022. Social media in service of marine ecology: new observations of the ghost crab Ocypode quadrata (Fabricius, 1787) scavenging on Portuguese man-of-war Physalia physalis (Linnaeus, 1758). Aquatic Ecology.
Park, J.-K., Park, W.-B., Do, Y., 2022. Identifying Popular Frogs and Attractive Frog Calls from YouTube Data. Sustainability 14, 10258.
Peter, C., Mustika, P.L.K., Acebes, J.M.V., Chansue, N., Dolar, L., Ham, G.S., Hines, E., Hte, W., Minton, G., Ponnampalam, L.S., Porter, L., Vu, L., Westerlaken, R., Htay, Y.Y., Whitty, T.S., 2022. Commentary on Coram et al. (2021) on the use of Facebook to understand marine mammal stranding issues in Southeast Asia. Biodiversity and Conservation 31, 1987-1994.
Sbragaglia, V., Espasandín, L., Coco, S., Felici, A., Correia, R.A., Coll, M., Arlinghaus, R., 2022. Recreational angling and spearfishing on social media: insights on harvesting patterns, social engagement and sentiments related to the distributional range shift of a marine invasive species. Reviews in Fish Biology and Fisheries.
Shin, N., Kotani, A., Maruya, Y., Gavrilyeva, T., 2022. Can Yandex statistics and google trends be used to detect people's interests in berries in the Russian Far East? Polar Science, 100871.
Tuia, D., Kellenberger, B., Beery, S., Costelloe, B.R., Zuffi, S., Risse, B., Mathis, A., Mathis, M.W., van Langevelde, F., Burghardt, T., Kays, R., Klinck, H., Wikelski, M., Couzin, I.D., van Horn, G., Crofoot, M.C., Stewart, C.V., Berger-Wolf, T., 2022. Perspectives in machine learning for wildlife conservation. Nature Communications 13, 792.
Urzedo, D., Westerlaken, M., Gabrys, J., 2022. Digitalizing forest landscape restoration: a social and political analysis of emerging technological practices. Environmental Politics, 1-26.
van Klink, R., et al. 2022. Emerging technologies revolutionise insect ecology and monitoring. Trends in Ecology & Evolution 37, 872-885.
Weir, J.L., Vacura, K., Bagga, J., Berland, A., Hyder, K., Skov, C., Attby, J., Venturelli, P.A., 2022. Big data from a popular app reveals that fishing creates superhighways for aquatic invaders. PNAS Nexus 1.
Wood, C.M., Kahl, S., Rahaman, A., Klinck, H., 2022. The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation. Plos Biology 20, e3001670.
Wu, E., Wang, H., Lu, H., Zhu, W., Jia, Y., Wen, L., Choi, C.-Y., Guo, H., Li, B., Sun, L., Lei, G., Lei, J., Jian, H., 2022. Unlocking the Potential of Deep Learning for Migratory Waterbirds Monitoring Using Surveillance Video. Remote Sensing 14, 514.
Young, N., Roche, D.G., Lennox, R.J., Bennett, J.R., Cooke, S.J., 2022. Ethical ecosurveillance: Mitigating the potential impacts on humans of widespread environmental monitoring. People and Nature.
Borowiec, M.L., Dikow, R.B., Frandsen, P.B., McKeeken, A., Valentini, G., White, A.E., 2022. Deep learning as a tool for ecology and evolution. Methods in Ecology and Evolution 13, 1640-1660.
Burke, H.M., Tingley, R., Dorin, A., 2022. Tag Frequency Difference: Rapid estimation of image set relevance for species occurrence data using general-purpose image classifiers. Ecological Informatics, 101598.
Cerri, J., Carnevali, L., Monaco, A., Genovesi, P., Bertolino, S., 2022. Blacklists do not necessarily make people curious about invasive alien species. A case study with Bayesian structural time series and Wikipedia searches about invasive mammals in Italy. NeoBiota 71.
Cerri, J., Lioy, S., Porporato, M., Bertolino, S., 2022. Combining surveys and on-line searching volumes to analyze public awareness about invasive alien species: a case study with the invasive Asian yellow-legged hornet (Vespa velutina) in Italy. NeoBiota 73.
Chowdhury, S., Aich, U., Rokonuzzaman, M., Alam, S., Das, P., Siddika, A., Ahmed, S., Labi, M.M., Di Marco, M., Callaghan, C.T., Fuller, R.A., 2022. Spatial occurrence data for the animals of Bangladesh derived from Facebook. PANGAEA.
Cooke, S.J., Docker, M.F., Mandrak, N.E., Young, N., Heath, D.D., Jeffries, K.M., Howarth, A., Brownscombe, J.W., Livernois, J., Semeniuk, C.A.D., Venturelli, P.A., Danylchuk, A.J., Lennox, R.J., Jarić, I., Fisk, A.T., Vandergoot, C.S., Britton, J.R., Muir, A.M., 2022. Technoscience and the modernization of freshwater fisheries assessment and management. Environmental Technology & Innovation, 102865.
Cornford, R., Millard, J., González-Suárez, M., Freeman, R., Johnson, T.F., 2022. Automated synthesis of biodiversity knowledge requires better tools and standardised research output. Ecography, e06068.
Cranswick, A.S., Constantine, R., Hendriks, H., Carroll, E.L., 2022. Social media and citizen science records are important for the management of rarely sighted whales. Ocean & Coastal Management 226, 106271.
Depauw, L., Blondeel, H., De Lombaerde, E., De Pauw, K., Landuyt, D., Lorer, E., Vangansbeke, P., Vanneste, T., Verheyen, K., De Frenne, P., 2022. The use of photos to investigate ecological change. Journal of Ecology.
Edwards, T., Jones, C.B., Corcoran, P., 2022. Identifying wildlife observations on twitter. Ecological Informatics 67, 101500.
Eryaşar, A.R., Saygu, İ., 2022. Using social media to identify recreational bluefish angling in the Mediterranean and Black Sea. Marine Policy 135, 104834.
Jane, S.F., Smith, K.M., Baker, D., Saroni, A., Cutler, E., Carvalho, P., 2022. News media and fisheries-independent data reveal hidden impacts of hurricanes. Ambio.
Farrell, M.J., Brierley, L., Willoughby, A., Yates, A., Mideo, N., 2022. Past and future uses of text mining in ecology and evolution. Proceedings of the Royal Society B: Biological Sciences 289, 20212721.
Grant, M.I., Bicknell, A.W.J., Htut, T., Maung, A., Maung, T., Myo Myo, K., Rein, T., San, M.K., White, W.T., Ya, K.Z., Mizrahi, M., 2022. Market surveys and social media provide confirmation of the endangered giant freshwater whipray Urogymnus polylepis in Myanmar. Journal of Fish Biology 101, 302-307.
Izquierdo-Gómez, D., 2022. Synergistic use of facebook, online questionnaires and local ecological knowledge to detect and reconstruct the bioinvasion of the Iberian Peninsula by Callinectes sapidus Rathbun, 1896. Biological Invasions 24, 1059-1082.
Jane, S.F., Smith, K.M., Baker, D., Saroni, A., Cutler, E., Carvalho, P., 2022. News media and fisheries-independent data reveal hidden impacts of hurricanes. Ambio.
Jensen, P.M., Danielsen, F., Skarphedinsson, S., 2022. Monitoring Temporal Trends in Internet Searches for "Ticks" across Europe by Google Trends: Tick-Human Interaction or General Interest? Insects 13, 176.
Katzner, T., Thomason, E., Huhmann, K., Conkling, T., Concepcion, C., Slabe, V., Poessel, S., Open-Source Intelligence for Conservation Biology. Conservation Biology.
Lennox, R.J., Sbragaglia, V., Vollset, K.W., Sortland, L.K., McClenachan, L., Jarić, I., Guckian, M.L., Ferter, K., Danylchuk, A.J., Cooke, S.J., Arlinghaus, R., Twardek, W.M., 2022. Digital fisheries data in the Internet age: Emerging tools for research and monitoring using online data in recreational fisheries. Fish and Fisheries.
Leitão, A.T.T.S., Alves, M.D.d.O., dos Santos, J.C.P., Bezerra, B., Instagram as a data source for sea turtle surveys in shipwrecks in Brazil. Animal Conservation.
Liconti, A., Pittman, S.J., Rees, S.E., Mieszkowska, N., 2022. Identifying conservation priorities for gorgonian forests in Italian coastal waters with multiple methods including citizen science and social media content analysis. Diversity and Distributions 28, 1430-1444.
Li, S., Yang, B., 2022. Social media for landscape planning and design: a review and discussion. Landscape Research, 1-16.
Mammola, S., et al. 2022. An expert-curated global database of online newspaper articles on spiders and spider bites. Scientific Data 9, 109.
Page, R.D.M., 2022. Wikidata and the bibliography of life. PeerJ 10, e13712.
Muller, J.R., Selier, S.-A.J., Drouilly, M., Broadfield, J., Leighton, G.R.M., Amar, A., Naude, V.N., The hunter and the hunted: Using web-sourced imagery to monitor leopard (Panthera pardus pardus) trophy hunting. Conservation Science and Practice, e12789.
Nascimento, L.S., Noernberg, M.A., Bleninger, T.B., Hausen, V., Pozo, A., Camargo, L.S., Hara, C.S., Nogueira Júnior, M., 2022. Social media in service of marine ecology: new observations of the ghost crab Ocypode quadrata (Fabricius, 1787) scavenging on Portuguese man-of-war Physalia physalis (Linnaeus, 1758). Aquatic Ecology.
Park, J.-K., Park, W.-B., Do, Y., 2022. Identifying Popular Frogs and Attractive Frog Calls from YouTube Data. Sustainability 14, 10258.
Peter, C., Mustika, P.L.K., Acebes, J.M.V., Chansue, N., Dolar, L., Ham, G.S., Hines, E., Hte, W., Minton, G., Ponnampalam, L.S., Porter, L., Vu, L., Westerlaken, R., Htay, Y.Y., Whitty, T.S., 2022. Commentary on Coram et al. (2021) on the use of Facebook to understand marine mammal stranding issues in Southeast Asia. Biodiversity and Conservation 31, 1987-1994.
Sbragaglia, V., Espasandín, L., Coco, S., Felici, A., Correia, R.A., Coll, M., Arlinghaus, R., 2022. Recreational angling and spearfishing on social media: insights on harvesting patterns, social engagement and sentiments related to the distributional range shift of a marine invasive species. Reviews in Fish Biology and Fisheries.
Shin, N., Kotani, A., Maruya, Y., Gavrilyeva, T., 2022. Can Yandex statistics and google trends be used to detect people's interests in berries in the Russian Far East? Polar Science, 100871.
Tuia, D., Kellenberger, B., Beery, S., Costelloe, B.R., Zuffi, S., Risse, B., Mathis, A., Mathis, M.W., van Langevelde, F., Burghardt, T., Kays, R., Klinck, H., Wikelski, M., Couzin, I.D., van Horn, G., Crofoot, M.C., Stewart, C.V., Berger-Wolf, T., 2022. Perspectives in machine learning for wildlife conservation. Nature Communications 13, 792.
Urzedo, D., Westerlaken, M., Gabrys, J., 2022. Digitalizing forest landscape restoration: a social and political analysis of emerging technological practices. Environmental Politics, 1-26.
van Klink, R., et al. 2022. Emerging technologies revolutionise insect ecology and monitoring. Trends in Ecology & Evolution 37, 872-885.
Weir, J.L., Vacura, K., Bagga, J., Berland, A., Hyder, K., Skov, C., Attby, J., Venturelli, P.A., 2022. Big data from a popular app reveals that fishing creates superhighways for aquatic invaders. PNAS Nexus 1.
Wood, C.M., Kahl, S., Rahaman, A., Klinck, H., 2022. The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation. Plos Biology 20, e3001670.
Wu, E., Wang, H., Lu, H., Zhu, W., Jia, Y., Wen, L., Choi, C.-Y., Guo, H., Li, B., Sun, L., Lei, G., Lei, J., Jian, H., 2022. Unlocking the Potential of Deep Learning for Migratory Waterbirds Monitoring Using Surveillance Video. Remote Sensing 14, 514.
Young, N., Roche, D.G., Lennox, R.J., Bennett, J.R., Cooke, S.J., 2022. Ethical ecosurveillance: Mitigating the potential impacts on humans of widespread environmental monitoring. People and Nature.
2021
Al Mabruk, S.A.A., Abdulghani, A., Nour, O.M., Adel, M., Crocetta, F., Doumpas, N., Kleitou, P., Tiralongo, F., 2021. The role of social media in compensating for the lack of field studies: five new fish species for the Mediterranean Egypt. Journal of Fish Biology.
Barahona-Segovia, R.M., Montenegro, R., González G, R., 2021. Environmental variables and distribution data support the preliminary conservation status of a trapdoor spider in a transformed coastal ecosystem. Journal for Nature Conservation 61, 125985.
Borowicz, A., Lynch, H.J., Estro, T., Foley, C., Gonçalves, B., Herman, K.B., Adamczak, S.K., Stirling, I., Thorne, L., 2021. Social Sensors for Wildlife: Ecological Opportunities in the Era of Camera Ubiquity. Frontiers in Marine Science 8.
Coram, A., Abreo, N.A.S., Ellis, R.P., Thompson, K.F., 2021. Contribution of social media to cetacean research in Southeast Asia: illuminating populations vulnerable to litter. Biodiversity and Conservation 30, 2341-2359.
Correia, R.A., Ladle, R., Roll, U., 2021. Special Section: Advancing Conservation Culturomics- Introduction. Conservation Biology.
Correia, R.A., Ladle, R., Jarić, I., Malhado, A.C.M., Mittermeier, J.C., Roll, U., Soriano-Redondo, A., Veríssimo, D., Fink, C., Hausmann, A., Guedes-Santos, J., Vardi, R., Di Minin, E., 2021. Digital data sources and methods for conservation culturomics. Conservation Biology.
Di Minin, E., Fink, C., Hausmann, A., Kremer, J., Kulkarni, R., 2021. How to address data privacy concerns when using social media data in conservation science. Conservation Biology.
Di Minin, E., Correia, R.A., Toivonen, T., 2021. Conservation geography. Trends in Ecology & Evolution.
Doherty, J.-F., Filion, A., Bennett, J., Bhattarai, U.R., Chai, X., Dutra, D.d.A., Donlon, E., Jorge, F., Milotic, M., Park, E., Sabadel, A.J.M., Thomas, L.J., Poulin, R., 2021. The people versus science: can passively crowdsourced internet data shed light on host-parasite interactions? Parasitology, 1-24.
Durso, A.M., et al., 2021. Citizen science and online data: Opportunities and challenges for snake ecology and action against snakebite. Toxicon: X, 100071.
Edwards, T., Jones, C.B., Perkins, S.E., Corcoran, P., 2021. Passive citizen science: The role of social media in wildlife observations. PLoS ONE 16, e0255416.
Garcia, D.A.Z., Pelicice, F.M., de Brito, M.F.G., Orsi, M.L., de Magalhães, A.L.B., 2021. Peixes não-nativos em riachos no Brasil: Estado da arte, lacunas de conhecimento e perspectivas. Oecologia Australis 25, 587.
Geller, I.V., Garcia, D.A.Z., Pereira, A.D., Rodrigues Casimiro, A.C., Cochak, C., Vitule, J.R.S., Orsi, M.L., 2021. New conservation opportunities: Using citizen science in monitoring non-native species in Neotropical region. Journal of Applied Ichthyology.
Giovos, I. et al., 2021. Integrating Literature, Biodiversity Databases, and Citizen-Science to Reconstruct the Checklist of Chondrichthyans in Cyprus (Eastern Mediterranean Sea). Fishes 6, 24.
Jarić, I., Bellard, C., Correia, R.A., Courchamp, F., Douda, K., Essl, F., Jeschke, J.M., Kalinkat, G., Kalous, L., Lennox, R.J., Novoa, A., Proulx, R., Pyšek, P., Soriano–Redondo, A., Souza, A.T., Vardi, R., Veríssimo, D., Roll, U., 2021. Invasion Culturomics and iEcology. Conservation Biology.
Kotani, A., Shin, N., Tei, S., Makarov, A., Gavrilyeva, T., 2021. Seasonality in Human Interest in Berry Plants Detection by Google Trends. Frontiers in Forests and Global Change 4.
Kotowska, D., Pärt, T., Żmihorski, M., 2021. Evaluating Google Street View for tracking invasive alien plants along roads. Ecological Indicators 121, 107020.
Kroetz, A.M., Brame, A.B., Bernanke, M., McDavitt, M.T., Wiley, T.R., 2021. Tracking public interest and perceptions about smalltooth sawfish conservation in the USA using Instagram. Aquatic Conservation: Marine and Freshwater Ecosystems.
Kulkarni, R., Di Minin, E., Automated retrieval of information on threatened species from online sources using machine learning. Methods in Ecology and Evolution.
Liu, Y., Fang, X., Dai, J., Wang, H., Tao, Z., 2021. Could phenological records from Chinese poems of the Tang and Song dynasties (618–1279 CE) be reliable evidence of past climate changes? Climate of the Past 17, 929-950.
Magalhães, A.L.B., Azevedo-Santos, V.M., Pelicice, F.M., 2021. Caught in the act: Youtube™ reveals invisible fish invasion pathways in Brazil. Journal of Applied Ichthyology.
Mannocci, L., Villon, S., Chaumont, M., Guellati, N., Mouquet, N., Iovan, C., Vigliola, L., Mouillot, D., 2021. Leveraging social media and deep learning to detect rare megafauna in video surveys. Conservation Biology.
Marcenò, C., Padullés Cubino, J., Chytrý, M., Genduso, E., Salemi, D., La Rosa, A., Gristina, A.S., Agrillo, E., Bonari, G., Giusso del Galdo, G., Ilardi, V., Landucci, F., Guarino, R., 2021. Facebook groups as citizen science tools for plant species monitoring. Journal of Applied Ecology 58, 2018-2028.
Mittermeier, J.C., Roll, U., Matthews, T.J., Correia, R., Grenyer, R., 2021 Birds that are more commonly encountered in the wild attract higher public interest online. Conservation Science and Practice, e340.
Mittermeier, J.C., Correia, R., Grenyer, R., Toivonen, T., Roll, U., Using Wikipedia to measure public interest in biodiversity and conservation. Conservation Biology.
Morais, P., Afonso, L., Dias, E., 2021. Harnessing the Power of Social Media to Obtain Biodiversity Data About Cetaceans in a Poorly Monitored Area. Frontiers in Marine Science 8.
Panter, C.T., Amar, A., 2021 Sex and age differences in the diet of the Eurasian Sparrowhawk (Accipiter nisus) using web-sourced photographs: exploring the feasibility of a new citizen science approach. Ibis, DOI: 10.1111/ibi.12918
Papafitsoros, K., Panagopoulou, A., Schofield, G., Social media reveals consistently disproportionate tourism pressure on a threatened marine vertebrate. Animal Conservation.
Poulin, R., Bennett, J., Filion, A., Bhattarai, U.R., Chai, X., de Angeli Dutra, D., Donlon, E., Doherty, J.-F., Jorge, F., Milotic, M., Park, E., Sabadel, A., Thomas, L.J., 2021. iParasitology: Mining the Internet to Test Parasitological Hypotheses. Trends in Parasitology.
Roos, N.C., Longo, G.O., 2021. Critical information for fisheries monitoring may be available in social media. Aquatic Conservation: Marine and Freshwater Ecosystems 31, 2420-2428.
Sbragaglia, V., Coco, S., Correia, R.A., Coll, M., Arlinghaus, R., 2021. Analyzing publicly available videos about recreational fishing reveals key ecological and social insights: A case study about groupers in the Mediterranean Sea. Science of the Total Environment 765, 142672.
Sbragaglia, V., Correia, R.A., Di Minin, E., 2021. Responsible use of social media data is needed: A reply to Maya-Jariego et al. Plenty of black money: Netnography of illegal recreational underwater fishing in southern Spain. Marine Policy 134, 104780.
Scheffer, M., van de Leemput, I., Weinans, E., Bollen, J., 2021. The rise and fall of rationality in language. Proceedings of the National Academy of Sciences 118, e2107848118.
Smail, R., Donaldson, C., Govaerts, R., Rayson, P., Stevens, C., 2020. Uncovering Environmental Change in the English Lake District: Using Computational Techniques to Trace the Presence and Documentation of Historical Flora. Digital Scholarship in the Humanities 36, 736-756.
Stringham, O.C., Moncayo, S., Hill, K.G.W., Toomes, A., Mitchell, L., Ross, J.V., Cassey, P., 2021. Text classification to streamline online wildlife trade analyses. PLoS ONE 16, e0254007.
Thompson, R.M., Hall, J., Morrison, C., Palmer, N.R., Roberts, D.L., Ethics and governance for internet-based conservation science research. Conservation Biology.
Väisänen, T., Heikinheimo, V., Hiippala, T., Toivonen, T., 2021. Exploring human–nature interactions in national parks with social media photographs and computer vision. Conservation Biology.
Vardi, R., Mittermeier, J.C., Roll, U., 2021. Combining culturomic sources to uncover trends in popularity and seasonal interest in plants. Conservation Biology.
Vitale, G., Dedeu, A.L., Pujol, M., Sbragaglia, V., 2021. Characterizing the Profile of Recreational Fishers Who Share Their Catches on Social Media. Frontiers in Marine Science 8.
Barahona-Segovia, R.M., Montenegro, R., González G, R., 2021. Environmental variables and distribution data support the preliminary conservation status of a trapdoor spider in a transformed coastal ecosystem. Journal for Nature Conservation 61, 125985.
Borowicz, A., Lynch, H.J., Estro, T., Foley, C., Gonçalves, B., Herman, K.B., Adamczak, S.K., Stirling, I., Thorne, L., 2021. Social Sensors for Wildlife: Ecological Opportunities in the Era of Camera Ubiquity. Frontiers in Marine Science 8.
Coram, A., Abreo, N.A.S., Ellis, R.P., Thompson, K.F., 2021. Contribution of social media to cetacean research in Southeast Asia: illuminating populations vulnerable to litter. Biodiversity and Conservation 30, 2341-2359.
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Di Minin, E., Fink, C., Hausmann, A., Kremer, J., Kulkarni, R., 2021. How to address data privacy concerns when using social media data in conservation science. Conservation Biology.
Di Minin, E., Correia, R.A., Toivonen, T., 2021. Conservation geography. Trends in Ecology & Evolution.
Doherty, J.-F., Filion, A., Bennett, J., Bhattarai, U.R., Chai, X., Dutra, D.d.A., Donlon, E., Jorge, F., Milotic, M., Park, E., Sabadel, A.J.M., Thomas, L.J., Poulin, R., 2021. The people versus science: can passively crowdsourced internet data shed light on host-parasite interactions? Parasitology, 1-24.
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Kotani, A., Shin, N., Tei, S., Makarov, A., Gavrilyeva, T., 2021. Seasonality in Human Interest in Berry Plants Detection by Google Trends. Frontiers in Forests and Global Change 4.
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Kulkarni, R., Di Minin, E., Automated retrieval of information on threatened species from online sources using machine learning. Methods in Ecology and Evolution.
Liu, Y., Fang, X., Dai, J., Wang, H., Tao, Z., 2021. Could phenological records from Chinese poems of the Tang and Song dynasties (618–1279 CE) be reliable evidence of past climate changes? Climate of the Past 17, 929-950.
Magalhães, A.L.B., Azevedo-Santos, V.M., Pelicice, F.M., 2021. Caught in the act: Youtube™ reveals invisible fish invasion pathways in Brazil. Journal of Applied Ichthyology.
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Marcenò, C., Padullés Cubino, J., Chytrý, M., Genduso, E., Salemi, D., La Rosa, A., Gristina, A.S., Agrillo, E., Bonari, G., Giusso del Galdo, G., Ilardi, V., Landucci, F., Guarino, R., 2021. Facebook groups as citizen science tools for plant species monitoring. Journal of Applied Ecology 58, 2018-2028.
Mittermeier, J.C., Roll, U., Matthews, T.J., Correia, R., Grenyer, R., 2021 Birds that are more commonly encountered in the wild attract higher public interest online. Conservation Science and Practice, e340.
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Panter, C.T., Amar, A., 2021 Sex and age differences in the diet of the Eurasian Sparrowhawk (Accipiter nisus) using web-sourced photographs: exploring the feasibility of a new citizen science approach. Ibis, DOI: 10.1111/ibi.12918
Papafitsoros, K., Panagopoulou, A., Schofield, G., Social media reveals consistently disproportionate tourism pressure on a threatened marine vertebrate. Animal Conservation.
Poulin, R., Bennett, J., Filion, A., Bhattarai, U.R., Chai, X., de Angeli Dutra, D., Donlon, E., Doherty, J.-F., Jorge, F., Milotic, M., Park, E., Sabadel, A., Thomas, L.J., 2021. iParasitology: Mining the Internet to Test Parasitological Hypotheses. Trends in Parasitology.
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2020
Al Mabruk, S.A., Rizgalla, J., Giovos, I., Bariche, M., 2020. Social media reveals the first records of the invasive lionfish Pterois miles (Bennett, 1828) and parrotfish Scarus ghobban Forsskål, 1775 from Egypt (Mediterranean Sea). BioInvasions Records 9, 574-579.
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Breckheimer IK, Theobald EJ, Cristea NC, Wilson AK, Lundquist JD, Rochefort RM, HilleRisLambers J. 2020. Crowd-sourced data reveal social–ecological mismatches in phenology driven by climate. Frontiers in Ecology and the Environment 18:76-82.
Cloutier, T.L., Rasmussen, G.S.A., Giordano, A.J., Kaplin, B.A., Willey, L., 2020. Digital conservation: using social media to investigate the scope of African painted dog den disturbance by humans. Human Dimensions of Wildlife, 1-11.
Ghimire, P., Thakuri, R., Basnet, A., Pandey, N., Bist, B.S., Sharma, B., Bhusal, K.P., 2020. Spatial-temporal analysis of vulture related content in social media. Bird Conservation Nepal 9, 8-12.
Giglio, V.J., Suhett, A.C., Zapelini, C.S., Ramiro, A.S., Quimbayo, J.P., 2020. Assessing captures of recreational spearfishing in Abrolhos reefs, Brazil, through social media. Regional Studies in Marine Science 34, 100995.
Giovos, I., Arculeo, M., Doumpas, N., Katsada, D., Maximiadi, M., Mitsou, Ε., Paravas, V., Naasan Aga-Spyridopoulou, R., Stoilas, V.-O., Tiralongo, F., Tsamadias, I.Ε., Vecchioni, L., Moutopoulos, D.K., 2020. Assessing multiple sources of data to detect illegal fishing, trade and mislabelling of elasmobranchs in Greek markets. Marine Policy 112, 103730.
Gosal, A.S., Ziv, G., 2020. Landscape aesthetics: Spatial modelling and mapping using social media images and machine learning. Ecological Indicators 117, 106638.
Gutiérrez, J.S., Soriano-Redondo, A., 2020. Laterality in foraging phalaropes promotes phenotypically assorted groups. Behavioral Ecology.
Irga, P.J., Dominici, L., Torpy, F.R., 2020. The mycological social network a way forward for conservation of fungal biodiversity. Environmental Conservation 47, 243-250.
Jarić I, et al. 2020. iEcology: Harnessing Large Online Resources to Generate Ecological Insights. Trends in Ecology & Evolution, 35, 630-639.
Jarić, I., et al., 2020. Expanding conservation culturomics and iEcology from terrestrial to aquatic realms. PLoS Biology 18, e3000935.
Jeawak, S.S., Jones, C.B., Schockaert, S., 2020. Predicting the environment from social media: A collective classification approach. Computers, Environment and Urban Systems 82, 101487.
Jeawak, S.S., Jones, C.B., Schockaert, S., 2020. Predicting environmental features by learning spatiotemporal embeddings from social media. Ecological Informatics 55, 101031.
Mammola, S., Riccardi, N., Prié, V., Correia, R., Cardoso, P., Lopes-Lima, M., Sousa, R., 2020. Towards a taxonomically unbiased European Union biodiversity strategy for 2030. Proceedings of the Royal Society B: Biological Sciences 287, 20202166.
Maritz, R.A., Maritz, B., 2020. Sharing for science: high-resolution trophic interactions revealed rapidly by social media. PeerJ 8, e9485.
Marshall, B.M., Freed, P., Vitt, L.J., Bernardo, P., Vogel, G., Lotzkat, S., Franzen, M., Hallermann, J., Sage, R.D., Bush, B., Duarte, M.R., Avila, L.J., Jandzik, D., Klusmeyer, B., Maryan, B., Hošek, J., Uetz, P., 2020. An inventory of online reptile images. Zootaxa 4896, 14.
McDavitt, M.T., Kyne, P.M., Social media posts reveal the geographic range of the Critically Endangered clown wedgefish, Rhynchobatus cooki. Journal of Fish Biology.
Mills, L.J., Wilson, J.D., Lange, A., Moore, K., Henwood, B., Knipe, H., Chaput, D.L., Tyler, C.R., 2020. Using molecular and crowd‐sourcing methods to assess breeding ground diet of a migratory brood parasite of conservation concern. Journal of Avian Biology 51.
Nunes, J.A.C.C., Cruz, I.C.S., Nunes, A., Pinheiro, H.T., 2020. Speeding up coral reef conservation with AI-aided automated image analysis. Nature Machine Intelligence, doi.org/10.1038/s42256-020-0192-3
Rothman SBS, Gayer K, Stern N. 2020. A long-distance traveler: the peacock rockskipper Istiblennius meleagris (Valenciennes, 1836) on the Mediterranean intertidal reefs. Biological Invasions. https://doi.org/10.1007/s10530-020-02277-7
Santamaria S, Enghoff H, Reboleira AS. 2020. The first Laboulbeniales (Ascomycota, Laboulbeniomycetes) from an American millipede, discovered through social media. MycoKeys 67.
Schuetz, J.G., Johnston, A., 2021. Tracking the cultural niches of North American birds through time. People and Nature.
Sethi, S.S., Jones, N.S., Fulcher, B.D., Picinali, L., Clink, D.J., Klinck, H., Orme, C.D.L., Wrege, P.H., Ewers, R.M., 2020. Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set. Proceedings of the National Academy of Sciences 117, 17049-17055.
Taklis, C., Giovos, I., Karamanlidis, A.A., 2020. Social media: a valuable tool to inform shark conservation in Greece. Mediterranean Marine Science 21, 493-498.
Yi, J., Du, Y., Liang, F., Tu, W., Qi, W., Ge, Y., 2020. Mapping human’s digital footprints on the Tibetan Plateau from multi-source geospatial big data. Science of the Total Environment 711, 134540.
Zbyryt, A., Mikula, P., Ciach, M., Morelli, F., Tryjanowski, P., A large‐scale survey of bird plumage colour aberrations reveals a collection bias in Internet‐mined photographs. Ibis. doi.org/10.1111/ibi.12872
August, T.A., Pescott, O.L., Joly, A., Bonnet, P., 2020. AI Naturalists Might Hold the Key to Unlocking Biodiversity Data in Social Media Imagery. Patterns 1, 100116.
Breckheimer IK, Theobald EJ, Cristea NC, Wilson AK, Lundquist JD, Rochefort RM, HilleRisLambers J. 2020. Crowd-sourced data reveal social–ecological mismatches in phenology driven by climate. Frontiers in Ecology and the Environment 18:76-82.
Cloutier, T.L., Rasmussen, G.S.A., Giordano, A.J., Kaplin, B.A., Willey, L., 2020. Digital conservation: using social media to investigate the scope of African painted dog den disturbance by humans. Human Dimensions of Wildlife, 1-11.
Ghimire, P., Thakuri, R., Basnet, A., Pandey, N., Bist, B.S., Sharma, B., Bhusal, K.P., 2020. Spatial-temporal analysis of vulture related content in social media. Bird Conservation Nepal 9, 8-12.
Giglio, V.J., Suhett, A.C., Zapelini, C.S., Ramiro, A.S., Quimbayo, J.P., 2020. Assessing captures of recreational spearfishing in Abrolhos reefs, Brazil, through social media. Regional Studies in Marine Science 34, 100995.
Giovos, I., Arculeo, M., Doumpas, N., Katsada, D., Maximiadi, M., Mitsou, Ε., Paravas, V., Naasan Aga-Spyridopoulou, R., Stoilas, V.-O., Tiralongo, F., Tsamadias, I.Ε., Vecchioni, L., Moutopoulos, D.K., 2020. Assessing multiple sources of data to detect illegal fishing, trade and mislabelling of elasmobranchs in Greek markets. Marine Policy 112, 103730.
Gosal, A.S., Ziv, G., 2020. Landscape aesthetics: Spatial modelling and mapping using social media images and machine learning. Ecological Indicators 117, 106638.
Gutiérrez, J.S., Soriano-Redondo, A., 2020. Laterality in foraging phalaropes promotes phenotypically assorted groups. Behavioral Ecology.
Irga, P.J., Dominici, L., Torpy, F.R., 2020. The mycological social network a way forward for conservation of fungal biodiversity. Environmental Conservation 47, 243-250.
Jarić I, et al. 2020. iEcology: Harnessing Large Online Resources to Generate Ecological Insights. Trends in Ecology & Evolution, 35, 630-639.
Jarić, I., et al., 2020. Expanding conservation culturomics and iEcology from terrestrial to aquatic realms. PLoS Biology 18, e3000935.
Jeawak, S.S., Jones, C.B., Schockaert, S., 2020. Predicting the environment from social media: A collective classification approach. Computers, Environment and Urban Systems 82, 101487.
Jeawak, S.S., Jones, C.B., Schockaert, S., 2020. Predicting environmental features by learning spatiotemporal embeddings from social media. Ecological Informatics 55, 101031.
Mammola, S., Riccardi, N., Prié, V., Correia, R., Cardoso, P., Lopes-Lima, M., Sousa, R., 2020. Towards a taxonomically unbiased European Union biodiversity strategy for 2030. Proceedings of the Royal Society B: Biological Sciences 287, 20202166.
Maritz, R.A., Maritz, B., 2020. Sharing for science: high-resolution trophic interactions revealed rapidly by social media. PeerJ 8, e9485.
Marshall, B.M., Freed, P., Vitt, L.J., Bernardo, P., Vogel, G., Lotzkat, S., Franzen, M., Hallermann, J., Sage, R.D., Bush, B., Duarte, M.R., Avila, L.J., Jandzik, D., Klusmeyer, B., Maryan, B., Hošek, J., Uetz, P., 2020. An inventory of online reptile images. Zootaxa 4896, 14.
McDavitt, M.T., Kyne, P.M., Social media posts reveal the geographic range of the Critically Endangered clown wedgefish, Rhynchobatus cooki. Journal of Fish Biology.
Mills, L.J., Wilson, J.D., Lange, A., Moore, K., Henwood, B., Knipe, H., Chaput, D.L., Tyler, C.R., 2020. Using molecular and crowd‐sourcing methods to assess breeding ground diet of a migratory brood parasite of conservation concern. Journal of Avian Biology 51.
Nunes, J.A.C.C., Cruz, I.C.S., Nunes, A., Pinheiro, H.T., 2020. Speeding up coral reef conservation with AI-aided automated image analysis. Nature Machine Intelligence, doi.org/10.1038/s42256-020-0192-3
Rothman SBS, Gayer K, Stern N. 2020. A long-distance traveler: the peacock rockskipper Istiblennius meleagris (Valenciennes, 1836) on the Mediterranean intertidal reefs. Biological Invasions. https://doi.org/10.1007/s10530-020-02277-7
Santamaria S, Enghoff H, Reboleira AS. 2020. The first Laboulbeniales (Ascomycota, Laboulbeniomycetes) from an American millipede, discovered through social media. MycoKeys 67.
Schuetz, J.G., Johnston, A., 2021. Tracking the cultural niches of North American birds through time. People and Nature.
Sethi, S.S., Jones, N.S., Fulcher, B.D., Picinali, L., Clink, D.J., Klinck, H., Orme, C.D.L., Wrege, P.H., Ewers, R.M., 2020. Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set. Proceedings of the National Academy of Sciences 117, 17049-17055.
Taklis, C., Giovos, I., Karamanlidis, A.A., 2020. Social media: a valuable tool to inform shark conservation in Greece. Mediterranean Marine Science 21, 493-498.
Yi, J., Du, Y., Liang, F., Tu, W., Qi, W., Ge, Y., 2020. Mapping human’s digital footprints on the Tibetan Plateau from multi-source geospatial big data. Science of the Total Environment 711, 134540.
Zbyryt, A., Mikula, P., Ciach, M., Morelli, F., Tryjanowski, P., A large‐scale survey of bird plumage colour aberrations reveals a collection bias in Internet‐mined photographs. Ibis. doi.org/10.1111/ibi.12872
2019
Al Mabruk, S.A., Rizgalla, J., 2019. First record of lionfish (Scorpaenidae: Pterois) from Libyan waters. Journal of the Black Sea/Mediterranean Environment 25, 108-114.
Allain S. 2019. Mining Flickr: a method for expanding the known distribution of invasive species. Herpetological Bulletin 148:11-14.
Becken S, Connolly RM, Chen J, Stantic B. 2019. A hybrid is born: Integrating collective sensing, citizen science and professional monitoring of the environment. Ecological informatics 52:35-45.
Callau, A.À., Albert, M.Y.P., Rota, J.J., Giné, D.S., 2019. Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs. Open Geosciences 11, 558-571.
Correia RA, Di Minin E, Jarić I, Jepson P, Ladle R, Mittermeier J, Roll U, Soriano‐Redondo A, Veríssimo D. 2019. Inferring public interest from search engine data requires caution. Frontiers in Ecology and the Environment 17.
Elmer F, Kohl ZF, Johnson PT, Peachey RB. 2019. Black spot syndrome in reef fishes: using archival imagery and field surveys to characterize spatial and temporal distribution in the Caribbean. Coral Reefs 38:1303-1315.
Ferraz, J., Garcia, D., Casimiro, A., Yabu, M., Geller, I., Magalhães, A., Magnoni, A., Orsi, M., 2019. Ornamental fish dumping in Brazilian continental waters recorded on Youtube™: absence of information or intentional environmental crime? Revista Brasileira de Zoociências 20.
Foglio M, Semeria L, Muscioni G, Pressiani R, Berger-Wolf T 2019. Animal Wildlife Population Estimation Using Social Media Images Collections. arXiv preprint 1908.01875.
Francis FT, et al. 2019. Shifting headlines? Size trends of newsworthy fishes. PeerJ 7:e6395.
Fukano Y, Soga M. 2019. Spatio-temporal dynamics and drivers of public interest in invasive alien species. Biological Invasions 21:3521-3532.
Ghermandi A, Sinclair M. 2019. Passive crowdsourcing of social media in environmental research: A systematic map. Global Environmental Change 55:36-47.
Giovos, I., Stoilas, V.-O., Al-Mabruk, S.A., Doumpas, N., Marakis, P., Maximiadi, M., Moutopoulos, D., Kleitou, P., Keramidas, I., Tiralongo, F., de Maddalena, A., 2019. Integrating local ecological knowledge, citizen science and long-term historical data for endangered species conservation: Additional records of angel sharks (Chondrichthyes: Squatinidae) in the Mediterranean Sea. Aquatic Conservation: Marine and Freshwater Ecosystems 29, 881-890.
Jagiello ZA, Dyderski MK, Dylewski Ł. 2019. What can we learn about the behaviour of red and grey squirrels from YouTube? Ecological informatics 51:52-60.
Jiménez-Alvarado D, Sarmiento-Lezcano A, Guerra-Marrero A, Tuya F, Santana Del Pino Á, Sealey MJ, Castro JJ. Historical photographs of captures of recreational fishers indicate overexploitation of nearshore resources at an oceanic island. Journal of Fish Biology.
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Pace DS, Giacomini G, Campana I, Paraboschi M, Pellegrino G, Silvestri M, Alessi J, Angeletti D, Cafaro V, Pavan G. 2019. An integrated approach for cetacean knowledge and conservation in the central Mediterranean Sea using research and social media data sources. Aquatic Conservation: Marine and Freshwater Ecosystems 29:1302-1323.
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Schuetz JG, Johnston A. 2019. Characterizing the cultural niches of North American birds. Proceedings of the National Academy of Sciences 116:10868-10873.
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Allain S. 2019. Mining Flickr: a method for expanding the known distribution of invasive species. Herpetological Bulletin 148:11-14.
Becken S, Connolly RM, Chen J, Stantic B. 2019. A hybrid is born: Integrating collective sensing, citizen science and professional monitoring of the environment. Ecological informatics 52:35-45.
Callau, A.À., Albert, M.Y.P., Rota, J.J., Giné, D.S., 2019. Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs. Open Geosciences 11, 558-571.
Correia RA, Di Minin E, Jarić I, Jepson P, Ladle R, Mittermeier J, Roll U, Soriano‐Redondo A, Veríssimo D. 2019. Inferring public interest from search engine data requires caution. Frontiers in Ecology and the Environment 17.
Elmer F, Kohl ZF, Johnson PT, Peachey RB. 2019. Black spot syndrome in reef fishes: using archival imagery and field surveys to characterize spatial and temporal distribution in the Caribbean. Coral Reefs 38:1303-1315.
Ferraz, J., Garcia, D., Casimiro, A., Yabu, M., Geller, I., Magalhães, A., Magnoni, A., Orsi, M., 2019. Ornamental fish dumping in Brazilian continental waters recorded on Youtube™: absence of information or intentional environmental crime? Revista Brasileira de Zoociências 20.
Foglio M, Semeria L, Muscioni G, Pressiani R, Berger-Wolf T 2019. Animal Wildlife Population Estimation Using Social Media Images Collections. arXiv preprint 1908.01875.
Francis FT, et al. 2019. Shifting headlines? Size trends of newsworthy fishes. PeerJ 7:e6395.
Fukano Y, Soga M. 2019. Spatio-temporal dynamics and drivers of public interest in invasive alien species. Biological Invasions 21:3521-3532.
Ghermandi A, Sinclair M. 2019. Passive crowdsourcing of social media in environmental research: A systematic map. Global Environmental Change 55:36-47.
Giovos, I., Stoilas, V.-O., Al-Mabruk, S.A., Doumpas, N., Marakis, P., Maximiadi, M., Moutopoulos, D., Kleitou, P., Keramidas, I., Tiralongo, F., de Maddalena, A., 2019. Integrating local ecological knowledge, citizen science and long-term historical data for endangered species conservation: Additional records of angel sharks (Chondrichthyes: Squatinidae) in the Mediterranean Sea. Aquatic Conservation: Marine and Freshwater Ecosystems 29, 881-890.
Jagiello ZA, Dyderski MK, Dylewski Ł. 2019. What can we learn about the behaviour of red and grey squirrels from YouTube? Ecological informatics 51:52-60.
Jiménez-Alvarado D, Sarmiento-Lezcano A, Guerra-Marrero A, Tuya F, Santana Del Pino Á, Sealey MJ, Castro JJ. Historical photographs of captures of recreational fishers indicate overexploitation of nearshore resources at an oceanic island. Journal of Fish Biology.
Jiménez‐Valverde A, Peña‐Aguilera P, Barve V, Burguillo‐Madrid L. 2019. Photo‐sharing platforms key for characterising niche and distribution in poorly studied taxa. Insect Conservation and Diversity 12:389-403.
Kaur KM, Malé P-JG, Spence E, Gomez C, Frederickson ME. 2019. Using text-mined trait data to test for cooperate-and-radiate co-evolution between ants and plants. PLoS computational biology 15.
Ladle RJ, Jepson P, Correia RA, Malhado ACM. 2019. A culturomics approach to quantifying the salience of species on the global internet. People and Nature 1:524-532.
Lamba, A., Cassey, P., Segaran, R.R., Koh, L.P., 2019. Deep learning for environmental conservation. Current Biology 29, R977-R982.
Marshall, B.M., Strine, C.T., 2019. Exploring snake occurrence records: Spatial biases and marginal gains from accessible social media. PeerJ 7, e8059.
Mittermeier JC, Roll U, Matthews TJ, Grenyer R. 2019. A season for all things: phenological imprints in Wikipedia usage and their relevance to conservation. PLoS Biology 17:e3000146.
Monkman, G.G., Hyder, K., Kaiser, M.J., Vidal, F.P., 2019. Using machine vision to estimate fish length from images using regional convolutional neural networks. Methods in Ecology and Evolution 10, 2045-2056.
Pace DS, Giacomini G, Campana I, Paraboschi M, Pellegrino G, Silvestri M, Alessi J, Angeletti D, Cafaro V, Pavan G. 2019. An integrated approach for cetacean knowledge and conservation in the central Mediterranean Sea using research and social media data sources. Aquatic Conservation: Marine and Freshwater Ecosystems 29:1302-1323.
Rahayu S, Rodda M. 2019. Hoya amicabilis sp. nov.(Apocynaceae, Asclepiadoideae), from Java discovered on Facebook. Nordic Journal of Botany 37.
Schuetz JG, Johnston A. 2019. Characterizing the cultural niches of North American birds. Proceedings of the National Academy of Sciences 116:10868-10873.
Sullivan M, Robinson S, Littnan C. 2019. Social media as a data resource for# monkseal conservation. PloS one 14.
Wearn OR, Freeman R, Jacoby DM. 2019. Responsible AI for conservation. Nature Machine Intelligence 1:72-73.
Yan, Y., Schultz, M., Zipf, A., 2019. An exploratory analysis of usability of Flickr tags for land use/land cover attribution. Geo-spatial Information Science 22, 12-22.
2018
Burr, A., Schaeg, N., Hall, D.M., 2018. Assessing residential front yards using Google Street View and geospatial video: A virtual survey approach for urban pollinator conservation. Applied Geography 92, 12-20.
Chamberlain J. 2018. Using Social Media for Biomonitoring: How Facebook, Twitter, Flickr and Other Social Networking Platforms Can Provide Large-Scale Biodiversity Data. Pages 133-168 in Bohan DA, Dumbrell AJ, Woodward G, and Jackson M, editors. Advances in Ecological Research. Academic Press.
De Frenne P, Van Langenhove L, Van Driessche A, Bertrand C, Verheyen K, Vangansbeke P. 2018. Using archived television video footage to quantify phenology responses to climate change. Methods in Ecology and Evolution 9:1874-1882.
Di Camillo, C.G., Ponti, M., Bavestrello, G., Krzelj, M., Cerrano, C., 2018. Building a baseline for habitat-forming corals by a multi-source approach, including Web Ecological Knowledge. Biodiversity and Conservation 27, 1257-1276.
Di Minin E, Fink C, Tenkanen H, Hiippala T. 2018. Machine learning for tracking illegal wildlife trade on social media. Nature Ecology & Evolution 2:406-407.
Fellenor J, Barnett J, Potter C, Urquhart J, Mumford JD, Quine CP. 2018. The social amplification of risk on Twitter: the case of ash dieback disease in the United Kingdom. Journal of Risk Research 21:1163-1183.
Giovos, I., Chatzispyrou, A., Doumpas, N., Stoilas, V., Moutopoulos, D.K., 2018. Using unconventional sources of information for identifying critical areas for the endangered guitarfish in Greece. Journal of the Black Sea/Mediterranean Environment 24, 38-50.
Giovos, I., Keramidas, I., Antoniou, C., Deidun, A., Font, T., Kleitou, P., Lloret, J., Matić-Skoko, S., Said, A., Tiralongo, F., Moutopoulos, D.K., 2018. Identifying recreational fisheries in the Mediterranean Sea through social media. Fisheries Management and Ecology 25, 287-295.
Hart AG, Carpenter WS, Hlustik‐Smith E, Reed M, Goodenough AE. 2018. Testing the potential of Twitter mining methods for data acquisition: Evaluating novel opportunities for ecological research in multiple taxa. Methods in Ecology and Evolution 9:2194-2205.
Jeawak S, Jones C, Schockaert S. 2018. Mapping wildlife species distribution with social media: Augmenting text classification with species names. In 10th International Conference on Geographic Information Science (GIScience 2018) (Winter, S. et al., eds.), pp. 45:1–45:6
Kalous L, Nechanská D, Petrtýl M. 2018. Survey of angler's internet posts confirmed the occurrence of freshwater fishes of the genus Ictiobus (Rafinesque, 1819) in natural waters of Czechia. Knowl. Manag. Aquat. Ecosyst.:29.
Menon S, Berger-Wolf T, Kiciman E, Joppa L, Stewart CV, Parham J, Crall J, Holmberg J, Van Oast J. 2018. Animal Population Estimation Using Flickr Images. Association for Computing Machinery Conference 2017.
Mikula P, Hadrava J, Albrecht T, Tryjanowski P. 2018. Large-scale assessment of commensalistic-mutualistic associations between African birds and herbivorous mammals using internet photos. PeerJ 6:e4520.
Monkman GG, Kaiser M, Hyder K. 2018. The ethics of using social media in fisheries research. Reviews in Fisheries Science & Aquaculture 26:235-242.
Norouzzadeh MS, Nguyen A, Kosmala M, Swanson A, Palmer MS, Packer C, Clune J. 2018. Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Proceedings of the National Academy of Sciences 115:E5716-E5725.
Schifani, E., Paolinelli, R., 2018. Forums and social media help to discover exotic species in Europe and monitor their spread: the case of Exaireta spinigera (Wiedemann, 1830) (Diptera, Stratiomyidae) in the Italian peninsula and Sicily. Graellsia 74, e079.
Wäldchen, J., Mäder, P., 2018. Machine learning for image based species identification. Methods in Ecology and Evolution 9, 2216-2225.
Chamberlain J. 2018. Using Social Media for Biomonitoring: How Facebook, Twitter, Flickr and Other Social Networking Platforms Can Provide Large-Scale Biodiversity Data. Pages 133-168 in Bohan DA, Dumbrell AJ, Woodward G, and Jackson M, editors. Advances in Ecological Research. Academic Press.
De Frenne P, Van Langenhove L, Van Driessche A, Bertrand C, Verheyen K, Vangansbeke P. 2018. Using archived television video footage to quantify phenology responses to climate change. Methods in Ecology and Evolution 9:1874-1882.
Di Camillo, C.G., Ponti, M., Bavestrello, G., Krzelj, M., Cerrano, C., 2018. Building a baseline for habitat-forming corals by a multi-source approach, including Web Ecological Knowledge. Biodiversity and Conservation 27, 1257-1276.
Di Minin E, Fink C, Tenkanen H, Hiippala T. 2018. Machine learning for tracking illegal wildlife trade on social media. Nature Ecology & Evolution 2:406-407.
Fellenor J, Barnett J, Potter C, Urquhart J, Mumford JD, Quine CP. 2018. The social amplification of risk on Twitter: the case of ash dieback disease in the United Kingdom. Journal of Risk Research 21:1163-1183.
Giovos, I., Chatzispyrou, A., Doumpas, N., Stoilas, V., Moutopoulos, D.K., 2018. Using unconventional sources of information for identifying critical areas for the endangered guitarfish in Greece. Journal of the Black Sea/Mediterranean Environment 24, 38-50.
Giovos, I., Keramidas, I., Antoniou, C., Deidun, A., Font, T., Kleitou, P., Lloret, J., Matić-Skoko, S., Said, A., Tiralongo, F., Moutopoulos, D.K., 2018. Identifying recreational fisheries in the Mediterranean Sea through social media. Fisheries Management and Ecology 25, 287-295.
Hart AG, Carpenter WS, Hlustik‐Smith E, Reed M, Goodenough AE. 2018. Testing the potential of Twitter mining methods for data acquisition: Evaluating novel opportunities for ecological research in multiple taxa. Methods in Ecology and Evolution 9:2194-2205.
Jeawak S, Jones C, Schockaert S. 2018. Mapping wildlife species distribution with social media: Augmenting text classification with species names. In 10th International Conference on Geographic Information Science (GIScience 2018) (Winter, S. et al., eds.), pp. 45:1–45:6
Kalous L, Nechanská D, Petrtýl M. 2018. Survey of angler's internet posts confirmed the occurrence of freshwater fishes of the genus Ictiobus (Rafinesque, 1819) in natural waters of Czechia. Knowl. Manag. Aquat. Ecosyst.:29.
Menon S, Berger-Wolf T, Kiciman E, Joppa L, Stewart CV, Parham J, Crall J, Holmberg J, Van Oast J. 2018. Animal Population Estimation Using Flickr Images. Association for Computing Machinery Conference 2017.
Mikula P, Hadrava J, Albrecht T, Tryjanowski P. 2018. Large-scale assessment of commensalistic-mutualistic associations between African birds and herbivorous mammals using internet photos. PeerJ 6:e4520.
Monkman GG, Kaiser M, Hyder K. 2018. The ethics of using social media in fisheries research. Reviews in Fisheries Science & Aquaculture 26:235-242.
Norouzzadeh MS, Nguyen A, Kosmala M, Swanson A, Palmer MS, Packer C, Clune J. 2018. Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Proceedings of the National Academy of Sciences 115:E5716-E5725.
Schifani, E., Paolinelli, R., 2018. Forums and social media help to discover exotic species in Europe and monitor their spread: the case of Exaireta spinigera (Wiedemann, 1830) (Diptera, Stratiomyidae) in the Italian peninsula and Sicily. Graellsia 74, e079.
Wäldchen, J., Mäder, P., 2018. Machine learning for image based species identification. Methods in Ecology and Evolution 9, 2216-2225.
2017
Becken S, Stantic B, Chen J, Alaei AR, Connolly RM. 2017. Monitoring the environment and human sentiment on the Great Barrier Reef: Assessing the potential of collective sensing. Journal of Environmental Management 203:87-97.
Berger-Wolf TY, Rubenstein DI, Stewart CV, Holmberg JA, Parham J, Menon S, Crall J, Van Oast J, Kiciman E, Joppa L. 2017. Wildbook: Crowdsourcing, computer vision, and data science for conservation. arXiv preprint arXiv:1710.08880.
Dorward LJ, Mittermeier JC, Sandbrook C, Spooner F. 2017. Pokémon Go: benefits, costs, and lessons for the conservation movement. Conservation Letters 10:160-165.
Dylewski Ł, Mikula P, Tryjanowski P, Morelli F, Yosef R. 2017. Social media and scientific research are complementary—YouTube and shrikes as a case study. The Science of Nature 104:48.
ElQadi MM, Dorin A, Dyer A, Burd M, Bukovac Z, Shrestha M. 2017. Mapping species distributions with social media geo-tagged images: Case studies of bees and flowering plants in Australia. Ecological Informatics 39:23-31.
Hong S, Do Y, Kim JY, Cowan P, Joo G-J. 2017. Conservation activities for the Eurasian otter (Lutra lutra) in South Korea traced from newspapers during 1962–2010. Biological conservation 210:157-162.
Jeawak SS, Jones CB, Schockaert S. 2017. Using Flickr for characterizing the environment: an exploratory analysis. 13th International Conference on Spatial Information Theory (COSIT 2017). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
Berger-Wolf TY, Rubenstein DI, Stewart CV, Holmberg JA, Parham J, Menon S, Crall J, Van Oast J, Kiciman E, Joppa L. 2017. Wildbook: Crowdsourcing, computer vision, and data science for conservation. arXiv preprint arXiv:1710.08880.
Dorward LJ, Mittermeier JC, Sandbrook C, Spooner F. 2017. Pokémon Go: benefits, costs, and lessons for the conservation movement. Conservation Letters 10:160-165.
Dylewski Ł, Mikula P, Tryjanowski P, Morelli F, Yosef R. 2017. Social media and scientific research are complementary—YouTube and shrikes as a case study. The Science of Nature 104:48.
ElQadi MM, Dorin A, Dyer A, Burd M, Bukovac Z, Shrestha M. 2017. Mapping species distributions with social media geo-tagged images: Case studies of bees and flowering plants in Australia. Ecological Informatics 39:23-31.
Hong S, Do Y, Kim JY, Cowan P, Joo G-J. 2017. Conservation activities for the Eurasian otter (Lutra lutra) in South Korea traced from newspapers during 1962–2010. Biological conservation 210:157-162.
Jeawak SS, Jones CB, Schockaert S. 2017. Using Flickr for characterizing the environment: an exploratory analysis. 13th International Conference on Spatial Information Theory (COSIT 2017). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
2016
Bahlai, C.A., Landis, D.A., 2016. Predicting plant attractiveness to pollinators with passive crowdsourcing. Royal Society Open Science 3, 150677.
Daume S. 2016. Mining Twitter to monitor invasive alien species—An analytical framework and sample information topologies. Ecological Informatics 31:70-82.
Giovos I, Ganias K, Garagouni M, Gonzalvo J. 2016. Social media in the service of conservation: A case study of dolphins in the Hellenic seas. Aquatic Mammals 42:12-20.
Hentati-Sundberg J, Olsson O. 2016. Amateur photographs reveal population history of a colonial seabird. Current Biology 26:R226-R228.
Leighton GRM, Hugo PS, Roulin A, Amar A. 2016. Just Google it: assessing the use of Google Images to describe geographical variation in visible traits of organisms. Methods in Ecology and Evolution 7:1060-1070.
Miranda EB, Ribeiro Jr RP, Strüssmann C. 2016. The ecology of human-anaconda conflict: a study using internet videos. Tropical Conservation Science 9:43-77.
Nesse, K., Airt, L., 2017. How useful is GSV as an environmental observation tool? An analysis of the evidence so far. An Analysis of the Evidence So Far. SSRN (October 13, 2017).
See, L., Mooney, P., Foody, G., Bastin, L., Comber, A., Estima, J., Fritz, S., Kerle, N., Jiang, B., Laakso, M., Liu, H.-Y., Milčinski, G., Nikšič, M., Painho, M., Pődör, A., Olteanu-Raimond, A.-M., Rutzinger, M., 2016. Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information ISPRS International Journal of Geo-Information 5, 55.
Wang, J., Korayem, M., Blanco, S., Crandall, D.J., 2016. Tracking Natural Events through Social Media and Computer Vision, In Proceedings of the 24th ACM international conference on Multimedia. pp. 1097–1101. Association for Computing Machinery, Amsterdam, The Netherlands.
Daume S. 2016. Mining Twitter to monitor invasive alien species—An analytical framework and sample information topologies. Ecological Informatics 31:70-82.
Giovos I, Ganias K, Garagouni M, Gonzalvo J. 2016. Social media in the service of conservation: A case study of dolphins in the Hellenic seas. Aquatic Mammals 42:12-20.
Hentati-Sundberg J, Olsson O. 2016. Amateur photographs reveal population history of a colonial seabird. Current Biology 26:R226-R228.
Leighton GRM, Hugo PS, Roulin A, Amar A. 2016. Just Google it: assessing the use of Google Images to describe geographical variation in visible traits of organisms. Methods in Ecology and Evolution 7:1060-1070.
Miranda EB, Ribeiro Jr RP, Strüssmann C. 2016. The ecology of human-anaconda conflict: a study using internet videos. Tropical Conservation Science 9:43-77.
Nesse, K., Airt, L., 2017. How useful is GSV as an environmental observation tool? An analysis of the evidence so far. An Analysis of the Evidence So Far. SSRN (October 13, 2017).
See, L., Mooney, P., Foody, G., Bastin, L., Comber, A., Estima, J., Fritz, S., Kerle, N., Jiang, B., Laakso, M., Liu, H.-Y., Milčinski, G., Nikšič, M., Painho, M., Pődör, A., Olteanu-Raimond, A.-M., Rutzinger, M., 2016. Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information ISPRS International Journal of Geo-Information 5, 55.
Wang, J., Korayem, M., Blanco, S., Crandall, D.J., 2016. Tracking Natural Events through Social Media and Computer Vision, In Proceedings of the 24th ACM international conference on Multimedia. pp. 1097–1101. Association for Computing Machinery, Amsterdam, The Netherlands.
2015
Gonella PM, Rivadavia F, Fleischmann A. 2015. Drosera magnifica (Droseraceae): the largest New World sundew, discovered on Facebook. Phytotaxa 220:257-267.
Haas AF, et al. 2015. Can we measure beauty? Computational evaluation of coral reef aesthetics. PeerJ 3:e1390.
Jepson P, Ladle RJ. 2015. Nature apps: Waiting for the revolution. Ambio 44:827-832.
Jovanovic, V., Vukelic, D., 2015. Using geosocial analysis for real-time monitoring the marine environments. Journal of Environmental Protection and Ecology 16, 1344-1352.
Haas AF, et al. 2015. Can we measure beauty? Computational evaluation of coral reef aesthetics. PeerJ 3:e1390.
Jepson P, Ladle RJ. 2015. Nature apps: Waiting for the revolution. Ambio 44:827-832.
Jovanovic, V., Vukelic, D., 2015. Using geosocial analysis for real-time monitoring the marine environments. Journal of Environmental Protection and Ecology 16, 1344-1352.
2014
Barve V. 2014. Discovering and developing primary biodiversity data from social networking sites: A novel approach. Ecological Informatics 24:194-199.
Lee, S., Crandall, D., 2014. Learning to identify local flora with human feedback, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop: Computer Vision and Human Computation.
Proulx R, Massicotte P, Pepino M. 2014. Googling Trends in Conservation Biology. Conservation Biology 28:44-51.
Lee, S., Crandall, D., 2014. Learning to identify local flora with human feedback, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop: Computer Vision and Human Computation.
Proulx R, Massicotte P, Pepino M. 2014. Googling Trends in Conservation Biology. Conservation Biology 28:44-51.
2013
Crampton, J.W., Graham, M., Poorthuis, A., Shelton, T., Stephens, M., Wilson, M.W., Zook, M., 2013. Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb. Cartography and Geographic Information Science 40, 130-139.
Wang, J., Korayem, M., Crandall, D., 2013. Observing the natural world with Flickr, In Proceedings of the IEEE international conference on computer vision workshops. pp. 452-459.
Wang, J., Korayem, M., Crandall, D., 2013. Observing the natural world with Flickr, In Proceedings of the IEEE international conference on computer vision workshops. pp. 452-459.
2012
Crandall, D., Snavely, N., 2012. Modeling people and places with internet photo collections. Commun. ACM 55, 52–60.
Zhang, H., Korayem, M., Crandall, D.J., LeBuhn, G., 2012. Mining photo-sharing websites to study ecological phenomena, In Proceedings of the 21st international conference on World Wide Web. pp. 749–758. Association for Computing Machinery, Lyon, France.
Zhang, H., Korayem, M., Crandall, D.J., LeBuhn, G., 2012. Mining photo-sharing websites to study ecological phenomena, In Proceedings of the 21st international conference on World Wide Web. pp. 749–758. Association for Computing Machinery, Lyon, France.
2010
Galaz V, Crona B, Daw T, Bodin Ö, Nyström M, Olsson P. 2010. Can web crawlers revolutionize ecological monitoring? Frontiers in Ecology and the Environment 8:99-104.
