Publications

Publications

My research spans biodiversity indicators, ecological forecasting, conservation artificial intelligence, animal movement ecology, and public engagement with nature. By combining large-scale ecological datasets, machine learning and quantitative methods, I aim to better understand biodiversity change and support evidence-based conservation.

Publication list

203 publications, updated June 2026.

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  1. Swaby, L., Carr, P., Dunn, R., Nicoll, M., Trevail, A., Votier, S., Wood, H., & Freeman, R. (2026). Deep neural networks to predict foraging behaviour: saltwater immersion data can accurately predict diving in seabirds. Journal of the Royal Society Interface, 23.
  2. Capdevila, P., O’Brien, D., Marconi, V., Johnson, T. F., Freeman, R., McRae, L., & Clements, C. F. (2026). Halting predicted vertebrate declines requires tackling multiple drivers of biodiversity loss. Science Advances, 12(7), eadx7973.
  3. Currie, J., Ravoth, S. M., Marconi, V., McRae, L., Arce-Plata, M. I., Emry, S., ... & others (2026). Navigating methodological decisions: Balancing rigor and data volume of the Canadian Living Planet Index. FACETS, 11, 1–14.
  4. Alexander, E., Clark, B., Atkins, K., Meinertzhagen, H., Langley, L., Arnould, J., ... & others (2026). Sociality and seabird diving: lower dive effort for solitary gannets compared with those in groups and at fishing boats. Marine Ecology Progress Series, 778, 1–13.
  5. Wood, H., Tebbs, E. J., Freeman, R., Bolton, M., Cleasby, I. R., Daunt, F., ... & others (2025). A behavioural approach to key area identification in seabirds for threat mitigation and spatial management. Animal Biotelemetry, 13(1), 34.
  6. da Silva Cerqueira, A., Freeman, R., Phillips, R. A., & Dawson, T. P. (2025). Automated classification of albatross acoustic behaviour at sea: A free and open-source classifier for seabird sounds. Ecological Informatics, 103474.
  7. Dunn, R. E., Trevail, A. M., Nicoll, M. A., Freeman, R., Braman, C. A., Clark, B. L., ... & Votier, S. C. (2025). Commuting in crosswinds and foraging in fast winds: the foraging ecology of a flying fish specialist. Proceedings of the Royal Society B: Biological Sciences, 292(2052).
  8. Freeman, R., Dunn, R., Nicoll, M., Trevail, A., Votier, S., & Wood, H. (2025). Data for" Deep neural networks to predict foraging behaviour: salt-water immersion data can accurately predict diving in seabirds". Harvard Dataverse dataset, 967.
  9. Teixeira, H., Nicoll, M. A., Jaeger, A., Bunbury, N., Choeur, A., A'bear, L., ... & others (2025). Genetic Differentiation in a Wide-Ranging Tropical Seabird in the Indian Ocean Is Linked With Oceanographic Factors. Diversity and Distributions, 31(11), e70078.
  10. Coste, J., Votier, S. C., Dunn, R. E., Freeman, R., Nicoll, M. A., Carr, P., Wood, H., & Trevail, A. M. (2025). Homing navigation is optimized to diurnal constraints in a tropical seabird, the red-footed booby. Animal Behaviour, 222, 123116.
  11. Serrano, F. C., Marconi, V., Deinet, S., Puleston, H., Wiederhecker, H. C., Diaz-Ricaurte, J. C., ... & others (2025). Knowledge from non-English-language studies broadens contributions to conservation policy and helps to tackle bias in biodiversity data. Journal of Applied Ecology, 62(9), 2148–2162.
  12. Trevail, A. M., Dunn, R. E., Carr, P., Esteban, N., Freeman, R., Harris, J. L., ... & others (2025). Large marine protected areas can encompass movements of diverse megafauna. Journal of Applied Ecology, 62(9), 2454–2463.
  13. McRae, L., Marconi, V., Deinet, S., & Freeman, R. (2025). Maximising time-series inclusion reduces geographic and taxonomic biases in the Living Planet Index.
  14. Bevan, P. A., Ferreira, G. B., Ingram, D. J., Rowcliffe, M., Young, L., Freeman, R., & Jones, K. E. (2025). Regional Biomes outperform broader spatial units in capturing biodiversity responses to land-use change. Ecography, 2025(4), e07318.
  15. Oppenheimer, P., McRae, L., González-Suárez, M., Hoffmann, M., Geldmann, J., & Freeman, R. (2025). Regional context improves prediction of local threats from global spatial impact maps.
  16. Trevail, A., Votier, S., Dunn, R., Nicoll, M., & Freeman, R. (2025). Seabird Tracking data: Immature red-footed booby Argos/GPS PTT. Harvard Dataverse dataset, 181.
  17. Freeman, R., Dunn, R. E., Trevail, A. M., Nicoll, M. A., & Votier, S. C. (2025). Seabird Tracking Data: Red-Footed Booby Audio Data. Harvard Dataverse dataset, 238.
  18. Dunn, R. E., Freeman, R. M., Nicoll, M. A., Trevail, A. M., & Votier, S. C. (2025). Seabird Tracking Data: Red-Footed Booby Bird-Bourne Video Data. Harvard Dataverse dataset, 434.
  19. Nicoll, M. A., Dunn, R. E., Trevail, A. M., Votier, S. C., & Freeman, R. M. (2025). Seabird Tracking Data: Red-Footed Booby Dive Data. Harvard Dataverse dataset, 20.
  20. Nicoll, M. A., Trevail, A. M., Votier, S. C., Jensen, D., Dunn, R., & Freeman, R. (2025). Seabird tracking data: Red-footed booby GPS tracking. Harvard Dataverse dataset, 18.
  21. Trevail, A., Votier, S., Dunn, R., Nicoll, M., Freeman, R., Le Corre, M., & Jaeger, A. (2025). Seabird tracking data: Wedge-tailed shearwater GPS tracking. Harvard Dataverse dataset, 237.
  22. McRae, L., Cornford, R., Marconi, V., Puleston, H., Ledger, S. E., Deinet, S., ... & Freeman, R. (2025). The utility of the Living Planet Index as a policy tool and for measuring nature recovery. Philosophical Transactions of the Royal Society B: Biological Sciences, 380(1917).
  23. Currie, J., Puleston, H., Marconi, V., Liang, C., Deinet, S., Smith, A. C., ... & Freeman, R. (2025). Under pressure: the relationship between vertebrate populations and high-intensity cumulative threats in habitats across Canada. FACETS, 10, 1–15.
  24. Siddiqi-Davies, K., Wynn, J., Padget, O., Lewin, P., Gillies, N., Morford, J., ... & others (2024). Behavioural responses of a trans-hemispheric migrant to climate oscillation. Proceedings of the Royal Society B: Biological Sciences, 291(2033).
  25. Trevail, A. M., Vallocchia, S., Nicoll, M. A., Carr, P., Votier, S. C., Wood, H., & Freeman, R. (2024). Comparable foraging effort and habitat use between two geographically proximate tropical seabird colonies. Marine Biology, 171(8), 165.
  26. Dunn, R. E., Freeman, R., Nicoll, M. A., Ramsden, J., Trevail, A. M., Wood, H., & Votier, S. C. (2024). From route to dive: multi-scale habitat selection in a foraging tropical seabird. Marine Biology, 171(6), 124.
  27. Votier, S. C., Corcoran, G., Carr, P., Dunn, R. E., Freeman, R., Nicoll, M. A., Wood, H., & Trevail, A. M. (2024). Geolocation and immersion loggers reveal year-round residency and facilitate nutrient deposition rate estimation of adult red-footed boobies in the Chagos Archipelago, tropical Indian Ocean. Journal of Avian Biology, 2024(9-10), e03185.
  28. Trevail, A., Vallocchia, S., Nicoll, M. A., Carr, P., Votier, S. C., Wood, H., & Freeman, R. (2024). Habitat selection and foraging segregation between two geographically proximate tropical seabird colonies.
  29. Fung, U. Y. Y., Carbone, C., Scott-Gatty, K., Freeman, R., Ewers, R. M., & Turner, J. (2024). Habitat suitability as an indicator of urbanisation potential in four UK mammals. Mammal Review, 54(2), 105–120.
  30. Siddiqi-Davies, K., Wynn, J., Padget, O., Bond, S., Danielsen, J., Fayet, A. L., ... & others (2024). Night flight facilitates late breeding catch-up in a long-distance migratory seabird. Scientific Reports, 14(1), 31792.
  31. Byrne, A., Tebbs, E. J., Njoroge, P., Nkwabi, A., Chadwick, M. A., Freeman, R., Harper, D., & Norris, K. (2024). Productivity declines threaten East African soda lakes and the iconic Lesser Flamingo. Current Biology, 34(8), 1786–1793.
  32. Rodrı́guez-Caro, R. C., Morales-Reyes, Z., Aguión, A., Arias-Real, R., Arrondo, E., Aspillaga, E., ... & others (2024). The importance of locally sourced data in identifying population trends: Insights from Iberian vertebrates. Biological Conservation, 298, 110755.
  33. Dove, S., Böhm, M., Freeman, R., Jellesmark, S., & Murrell, D. J. (2023). A user-friendly guide to using distance measures to compare time series in ecology. Ecology and Evolution, 13(10), e10520.
  34. Johnson, T. F., Cornford, R., Dove, S., Freeman, R., & Millard, J. (2023). Achieving a real-time online monitoring system for conservation culturomics. Conservation Biology, 37(4), e14096.
  35. Ament, J. M., Carbone, C., Crees, J. J., Freeman, R., & Turvey, S. T. (2023). Anthropogenic predictors of varying Holocene occurrence for Europe's large mammal fauna. Biology Letters, 19(4).
  36. Bevan, P. A., Ferreira, G. B., Ingram, D. J., Rowcliffe, M., Young, L., Freeman, R., & Jones, K. E. (2023). Biodiversity shows unique responses to land-use change across regional biomes. bioRxiv, 2023–03.
  37. Norman, D. L., Bischoff, P. H., Wearn, O. R., Ewers, R. M., Rowcliffe, J. M., Evans, B., ... & Freeman, R. (2023). Can CNN-based species classification generalise across variation in habitat within a camera trap survey?. Methods in Ecology and Evolution, 14(1), 242–251.
  38. Votier, S., Corcoran, G., Carr, P., Dunn, R., Freeman, R., Nicoll, M., Wood, H., & Trevail, A. (2023). Geolocation and immersion loggers reveal adult red-footed boobies are year-round residents in the tropical Indian Ocean. Authorea Preprints.
  39. Dove, S., Bohm, M., Freeman, R., McRae, L., & Murrell, D. J. (2023). How much data do we need? Reliability and data deficiency in global vertebrate biodiversity trends. bioRxiv, 2023–03.
  40. Trevail, A. M., Wood, H., Carr, P., Dunn, R. E., Nicoll, M. A., Votier, S. C., & Freeman, R. (2023). Multi-colony tracking reveals segregation in foraging range, space use, and timing in a tropical seabird. Marine Ecology Progress Series, 724, 155–165.
  41. Cornford, R., Spooner, F., McRae, L., Purvis, A., & Freeman, R. (2023). Ongoing over-exploitation and delayed responses to environmental change highlight the urgency for action to promote vertebrate recoveries by 2030. Proceedings of the Royal Society B: Biological Sciences, 290(1997).
  42. Justin Nowakowski, A., Watling, J. I., Murray, A., Deichmann, J. L., Akre, T. S., Muñoz Brenes, C. L., ... & Frishkoff, L. O. (2023). Protected areas slow declines unevenly across the tetrapod tree of life. Nature, 622(7981), 101–106.
  43. Dove, S., Böhm, M., Freeman, R., McRae, L., & Murrell, D. J. (2023). Quantifying reliability and data deficiency in global vertebrate population trends using the Living Planet Index. Global Change Biology, 29(17), 4966–4982.
  44. Miller, M., Hemson, G., Toit, J. D., McDougall, A., Miller, P., Mizutani, A., ... & others (2023). Refining seabird marine protected areas by predicting habitat inside foraging range-a case study from the global tropics. Submitted to Journal of Avian Biology.
  45. Trevail, A. M., Nicoll, M. A., Freeman, R., Le Corre, M., Schwarz, J., Jaeger, A., ... & others (2023). Tracking seabird migration in the tropical Indian Ocean reveals basin-scale conservation need. Current Biology, 33(23), 5247–5256.
  46. Ocean, I., Trevail, A. M., Nicoll, M. A., Freeman, R., Rocamora, G., Shah, N., & Votier, S. C. (2023). Tracking seabird migration in the tropical Indian Ocean reveals basin-scale conservation need.
  47. Crowson, M., Isaac, N. J., Wade, A. J., Norris, K., Freeman, R., & Pettorelli, N. (2023). Using geotagged crowdsourced data to assess the diverse socio-cultural values of conservation areas: England as a case study. Ecology and Society, 28(4).
  48. Westveer, J., Freeman, R., McRae, L., Marconi, V., Almond, R., & Grooten, M. (2022). A Deep Dive into the Living Planet Index: A Technical Report.
  49. McRae, L., Freeman, R., Geldmann, J., Moss, G. B., Kjær-Hansen, L., & Burgess, N. D. (2022). A global indicator of utilized wildlife populations: Regional trends and the impact of management. One Earth, 5(4), 422–433.
  50. Darby, J. H., Harris, M. P., Wanless, S., Quinn, J. L., Bråthen, V. S., Fayet, A. L., ... & others (2022). A new biologging approach reveals unique flightless molt strategies of Atlantic puffins. Ecology and Evolution, 12(12), e9579.
  51. Browning, E., Freeman, R., Boughey, K. L., Isaac, N. J., & Jones, K. E. (2022). Accounting for spatial autocorrelation and environment are important to derive robust bat population trends from citizen science data. Ecological Indicators, 136, 108719.
  52. Currie, J., Burant, J. B., Marconi, V., Blain, S. A., Emry, S., Hébert, K., ... & others (2022). Assessing the representation of species included within the Canadian Living Planet Index. FACETS.
  53. 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, 2022(3), e06068.
  54. Capdevila, P., Noviello, N., McRae, L., Freeman, R., & Clements, C. F. (2022). Body mass and latitude as global predictors of vertebrate populations exposure to multiple threats. Ecography, 2022(12), e06309.
  55. Dancer, A., Keane, A., Beale, C. M., Dobson, A. D., Amin, R., Freeman, R., ... & others (2022). Evidence of deterrence from patrol data: Trialling application of a differenced-CPUE metric. Conservation Science and Practice, 4(8), e12746.
  56. Capdevila, P., Noviello, N., McRae, L., Freeman, R., & Clements, C. F. (2022). Global patterns of resilience decline in vertebrate populations. Ecology Letters, 25(1), 240–251.
  57. Miranda-Ferreiro, R., Miqueleiz-Legaz, I., Darwall, W., Sayer, C., Dulvy, N., Carpenter, K., ... & others (2022). Monitoring extinction risk and threats of the world's fishes based on the Sampled Red List Index.
  58. Miranda, R., Miqueleiz, I., Darwall, W., Sayer, C., Dulvy, N. K., Carpenter, K. E., ... & others (2022). Monitoring extinction risk and threats of the world’s fishes based on the Sampled Red List Index. Reviews in Fish Biology and Fisheries, 32(3), 975–991.
  59. Korner-Nievergelt, F., Strebel, N., Buckland, S. T., Freeman, R., Gregory, R. D., Guélat, J., ... & others (2022). Multi-species population indices for sets of species including rare, disappearing or newly occurring species. Ecological Indicators, 140, 109005.
  60. Ledger, S. E., McRae, L., Böhm, M., Almond, R., Grooten, M., Clements, C., ... & others (2022). Past, present, and future of the Living Planet Index. bioRxiv.
  61. Johnson, T. F., Cornford, R., Dove, S., Freeman, R., & Millard, J. (2022). Realising the potential of real-time online monitoring for conservation culturomics. EcoEvoRxiv. September, 9.
  62. Gray, C., McRae, L., Deinet, S., Ledger, S. E., Benham, C., Burfield, I., ... & others (2022). Recovering birds and mammals across Europe continue to be negatively impacted by threats but benefit from conservation measures. bioRxiv, 2022–09.
  63. Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2022). Reply to: Do not downplay biodiversity loss. Nature, 601(7894), E29–E31.
  64. Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2022). Reply to: Emphasizing declining populations in the Living Planet Report. Nature, 601(7894), E25–E26.
  65. Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2022). Reply to: The Living Planet Index does not measure abundance. Nature, 601(7894), E16–E16.
  66. Curnick, D. J., Davies, A. J., Duncan, C., Freeman, R., Jacoby, D. M., Shelley, H. T., ... & Pettorelli, N. (2022). SmallSats: a new technological frontier in ecology and conservation?. Remote Sensing in Ecology and Conservation, 8(2), 139–150.
  67. Turner, J., Freeman, R., & Carbone, C. (2022). Using citizen science to understand and map habitat suitability for a synurbic mammal in an urban landscape: the hedgehog Erinaceus europaeus. Mammal Review, 52(2), 291–303.
  68. Williams, J. J., Freeman, R., Spooner, F., & Newbold, T. (2022). Vertebrate population trends are influenced by interactions between land use, climatic position, habitat loss and climate change. Global change biology, 28(3), 797–815.
  69. Ledger, S. E., Rutherford, C. A., Benham, C., Burfield, I. J., Deinet, S., Eaton, M., ... & others (2022). Wildlife Comeback in Europe: Opportunities and challenges for species recovery.
  70. Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2021). Author Correction: Clustered versus catastrophic global vertebrate declines. Nature, 590(7844), E12–E12.
  71. Cornford, R., Deinet, S., De Palma, A., Hill, S. L., McRae, L., Pettit, B., ... & Freeman, R. (2021). Fast, scalable, and automated identification of articles for biodiversity and macroecological datasets. Global Ecology and Biogeography, 30(1), 339–347.
  72. Millard, J., Outhwaite, C. L., Kinnersley, R., Freeman, R., Gregory, R. D., Adedoja, O., ... & others (2021). Global effects of land-use intensity on local pollinator biodiversity. Nature communications, 12(1), 1–11.
  73. Marconi, V., McRae, L., Müller, H., Currie, J., Whitmee, S., Gadallah, F. Z., & Freeman, R. (2021). Population declines among Canadian vertebrates: But data of different quality show diverging trends. Ecological Indicators, 130, 108022.
  74. Carr, P., Trevail, A., Bárrios, S., Clubbe, C., Freeman, R., Koldewey, H. J., ... & Nicoll, M. A. (2021). Potential benefits to breeding seabirds of converting abandoned coconut plantations to native habitats after invasive predator eradication. Restoration Ecology, e13386.
  75. Williams, N. F., McRae, L., Freeman, R., Capdevila, P., & Clements, C. F. (2021). Scaling the extinction vortex: Body size as a predictor of population dynamics close to extinction events. Ecology and evolution, 11(11), 7069–7079.
  76. Curnick, D. J., Davies, A. J., Duncan, C., Freeman, R., Jacoby, D. M., Shelley, H. T., ... & Pettorelli, N. (2021). SmallSats: a new technological frontier in ecology andconservation?. Journal of Remote Sensing in Ecology and Conservation.
  77. Millard, J., Gregory, R., Jones, K., & Freeman, R. (2021). The Species Awareness Index (SAI): a Wikipedia-derived conservation culturomics metric for public biodiversity awareness. Conservation Biology.
  78. Oppenheimer, P., Clarke, E., Cupit, O., Delabre, I., Dodson, A., Guindon, M., ... & others (2021). The SPOTT index: A proof-of-concept measure for tracking public disclosure in the palm oil industry. Current Research in Environmental Sustainability, 3, 100042.
  79. Hays, G. C., Koldewey, H. J., Andrzejaczek, S., Attrill, M. J., Barley, S., Bayley, D. T., ... & others (2020). A review of a decade of lessons from one of the world’s largest MPAs: conservation gains and key challenges. Marine Biology, 167(11), 1–22.
  80. Henriques, S., Böhm, M., Collen, B., Luedtke, J., Hoffmann, M., Hilton-Taylor, C., ... & Freeman, R. (2020). Accelerating the monitoring of global biodiversity: revisiting the sampled approach to generating Red List Indices. Conservation Letters, 13(3), e12703.
  81. Rich, A. S., Rudin, C., MP, J. D., Freeman, R., Wearn, O. R., Shevlin, H., ... & others (2020). AI reflections in 2019. Nature Machine Intelligence, 2(1), 2–9.
  82. Mace, G. M., Barrett, M., Burgess, N. D., Cornell, S. E., Freeman, R., Grooten, M., & Purvis, A. (2020). Aiming higher to bend the curve of biodiversity loss (vol 52, pg 891, 2020). NATURE SUSTAINABILITY.
  83. Ament, J. M., Freeman, R., Carbone, C., Vassall, A., & Watts, C. (2020). An empirical analysis of synergies and tradeoffs between sustainable development goals. Sustainability, 12(20), 8424.
  84. Mace, G. M., Barrett, M., Burgess, N. D., Cornell, S. E., Freeman, R., Grooten, M., Purvis, A., & others (2020). Author Correction: Aiming higher to bend the curve of biodiversity loss. Nature Sustainability, 3(10), 885–885.
  85. Green, E. J., McRae, L., Freeman, R., Harfoot, M. B., Hill, S. L., Baldwin-Cantello, W., & Simonson, W. D. (2020). Below the canopy. Proceedings: Biological Sciences, 287(1928), 1–9.
  86. Green, E. J., McRae, L., Freeman, R., Harfoot, M. B., Hill, S. L., Baldwin-Cantello, W., & Simonson, W. D. (2020). Below the canopy: global trends in forest vertebrate populations and their drivers. Proceedings of the Royal Society B: Biological Sciences, 287(1928).
  87. Leclère, D., Obersteiner, M., Barrett, M., Butchart, S. H., Chaudhary, A., De Palma, A., ... & others (2020). Bending the curve of terrestrial biodiversity needs an integrated strategy. Nature, 585(7826), 551–556.
  88. Obersteiner, M., Barrett, M., Butchart, S. H., Chaudhary, A., De Palma, A., DeClerck, F. A., ... & others (2020). Bending the curve of terrestrial biodiversity needs an integrated strategy.
  89. Noviello, N., McRae, L., Freeman, R., & Clements, C. (2020). Body mass and latitude predict the presence of multiple stressors in global vertebrate populations. bioRxiv, 2020–12.
  90. Leung, B., Hargreaves, A. L., Greenberg, D. A., McGill, B., Dornelas, M., & Freeman, R. (2020). Clustered versus catastrophic global vertebrate declines. Nature, 588(7837), 267–271.
  91. Jones, S. E., Suanjak, M., Tobias, J. A., Freeman, R., & Portugal, S. J. (2020). Comparative physiology of five tropical montane songbirds reveals differential seasonal acclimatisation and cold adaption. bioRxiv, 2020–05.
  92. Rich, A. S., Rudin, C., Jacoby, D. M., Freeman, R., Wearn, O. R., Shevlin, H., ... & others (2020). feature-AI reflections in 2019.
  93. Dewhurst-Richman, N., Jones, J. P., Northridge, S., Ahmed, B., Brook, S., Freeman, R., ... & Turvey, S. (2020). Fishing for the facts: river dolphin bycatch in a small-scale freshwater fishery in Bangladesh. Animal Conservation, 23(2), 160–170.
  94. Dewhurst-Richman, N., Jones, J., Northridge, S., Ahmed, B., Brook, S., Freeman, R., ... & Turvey, S. (2020). Fishing for the facts: river dolphin bycatch in a small-scale freshwater fishery in Bangladesh. Animal Conservation, 23(2), 160–170.
  95. Almond, R., Grooten, M., & Peterson, T. (2020). Living Planet Report 2020-Bending the curve of biodiversity loss.
  96. Papastamatiou, Y. P., Bodey, T. W., Caselle, J. E., Bradley, D., Freeman, R., Friedlander, A. M., & Jacoby, D. M. (2020). Multiyear social stability and social information use in reef sharks with diel fission--fusion dynamics. Proceedings of the Royal Society B: Biological Sciences, 287(1932).
  97. Jacoby, D. M., Ferretti, F., Freeman, R., Carlisle, A. B., Chapple, T. K., Curnick, D. J., ... & Block, B. A. (2020). Shark movement strategies influence poaching risk and can guide enforcement decisions in a large, remote marine protected area. Journal of Applied Ecology, 57(9), 1782–1792.
  98. Gillies, N., Fayet, A. L., Padget, O., Syposz, M., Wynn, J., Bond, S., ... & others (2020). Short-term behavioural impact contrasts with long-term fitness consequences of biologging in a long-lived seabird. Scientific Reports, 10(1), 1–10.
  99. Williams, N., McRae, L., Freeman, R., & Clements, C. (2020). Small body size exacerbates the extinction vortex. Authorea Preprints.
  100. Ament, J. F. R. C. C. V. A. W. C. (2020). Synergies and trade-offs in reaching the Sustainable Development Goals. Sustainability, 12(20), 8729.
  101. Millard, J. W., Freeman, R., & Newbold, T. (2020). Text-analysis reveals taxonomic and geographic disparities in animal pollination literature. Ecography, 43(1), 44–59.
  102. Millard, J. W., Gregory, R. D., Jones, K., & Freeman, R. (2020). The Species Awareness Index (SAI): a Wikipedia-derived conservation culturomics metric for public biodiversity awareness. BioRxiv, 2020–08.
  103. Jones, S. E., Tobias, J. A., Freeman, R., & Portugal, S. J. (2020). Weak asymmetric interspecific aggression and divergent habitat preferences at an elevational contact zone between tropical songbirds. Ibis, 162(3), 814–826.
  104. Jones, F. M., Allen, C., Arteta, C., Arthur, J., Black, C., Emmerson, L. M., ... & others (2019). Author Correction: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project. Scientific data, 6(1), 1–2.
  105. Green, E. J., McRae, L., Freeman, R., Harfoot, M. B., Hill, S. L., Baldwin-Cantello, W., & Simonson, W. D. (2019). Below the canopy: global trends in forest vertebrate populations and their drivers. PeerJ Preprints, 7, e27882v1.
  106. Ament, J. M., Collen, B., Carbone, C., Mace, G. M., & Freeman, R. (2019). Compatibility between agendas for improving human development and wildlife conservation outside protected areas: Insights from 20 years of data. People and Nature, 1(3), 305–316.
  107. Padget, O., Stanley, G., Willis, J. K., Fayet, A. L., Bond, S., Maurice, L., ... & others (2019). Data from: Shearwaters know the direction and distance home but fail to encode intervening obstacles after free-ranging foraging trips.
  108. Crees, J. J., Turvey, S. T., Freeman, R., & Carbone, C. (2019). Mammalian tolerance to humans is predicted by body mass: evidence from long-term archives. Ecology, 100(9), e02783.
  109. Papastamatiou, Y., Bodey, T., Bradley, D., Friedlander, A., Caselle, J., Freeman, R., & Jacoby, D. (2019). Multiyear social stability shapes cryptic colonial behavior in an ectothermic marine predator. INTEGRATIVE AND COMPARATIVE BIOLOGY, 59, E179–E179.
  110. Wearn, O. R., Freeman, R., & Jacoby, D. M. (2019). Responsible AI for conservation. Nature Machine Intelligence, 1(2), 72–73.
  111. Leclere, D., Obersteiner, M., Alkemade, R., Almond, R., Barrett, M., Bunting, G., ... & others (2019). Reversing terrestrial biodiversity declines due to habitat loss: a multi-model assessment.
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  113. Papastamatiou, Y., Bodey, T., Caselle, J., Bradley, D., Freeman, R., Friedlnader, A., & Jacoby, D. (2019). Social information shapes interannual social stability in colonial reef sharks. Authorea Preprints.
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  116. Ament, J., Collen, B., Carbone, C., Mace, G., Freeman, R., & others (2019). Wildlife conservation can be compatible with human development, but increasing interactions with humans may pose problems. People and Nature, (PaN-1), 305–316.
  117. Mace, G. M., Barrett, M., Burgess, N. D., Cornell, S. E., Freeman, R., Grooten, M., & Purvis, A. (2018). Aiming higher to bend the curve of biodiversity loss. Nature Sustainability, 1(9), 448–451.
  118. Mac Aodha, O., Gibb, R., Barlow, K. E., Browning, E., Firman, M., Freeman, R., ... & others (2018). Bat detective—Deep learning tools for bat acoustic signal detection. PLoS computational biology, 14(3), e1005995.
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  120. Hardesty-Moore, M., Deinet, S., Freeman, R., Titcomb, G. C., Dillon, E. M., Stears, K., ... & others (2018). Correction to ‘Migration in the Anthropocene: how collective navigation, environmental system and taxonomy shape the vulnerability of migratory species’. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1749).
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  124. Deinet, S., McRae, L., & Freeman, R. (2018). Population indicator: the living planet index. Living planet report, 88–95.
  125. Browning, E., Bolton, M., Owen, E., Shoji, A., Guilford, T., & Freeman, R. (2018). Predicting animal behaviour using deep learning: GPS data alone accurately predict diving in seabirds. Methods Ecol Evol 9 (3): 681--692.
  126. Spooner, F., Pearson, R., & Freeman, R. (2018). Rapid warming is associated with population decline among terrestrial birds and mammals globally. Global Change Biology.
  127. Jones, F. M., Allen, C., Arteta, C., Arthur, J., Black, C., Emmerson, L. M., ... & others (2018). Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project. Scientific data, 5(1), 1–13.
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  129. Tyson, C., Kirk, H., Fayet, A., Van Loon, E., Shoji, A., Dean, B., ... & Guilford, T. (2017). Coordinated provisioning in a dual-foraging pelagic seabird. Animal Behaviour, 132, 73–79.
  130. McRae, L., Freeman, R., Deinet, S., & Hails, C. (2017). Living Planet Index.
  131. Fayet, A. L., Freeman, R., Anker-Nilssen, T., Diamond, A., Erikstad, K. E., Fifield, D., ... & others (2017). Ocean-wide drivers of migration strategies and their influence on population breeding performance in a declining seabird. Current Biology, 27(24), 3871–3878.
  132. Browning, E., Bolton, M., Owen, E., Shoji, A., Guilford, T., & Freeman, R. (2017). Predicting animal behaviour using deep learning: GPS data alone accurately predict diving in seabirds. Methods in Ecology and Evolution.
  133. Gibb, R., Shoji, A., Fayet, A. L., Perrins, C. M., Guilford, T., & Freeman, R. (2017). Remotely sensed wind speed predicts soaring behaviour in a wide-ranging pelagic seabird. Journal of the Royal Society Interface, 14(132).
  134. McRae, L., Deinet, S., & Freeman, R. (2017). The Diversity-Weighted Living Planet Index: Controlling for Taxonomic Bias in a Global Biodiversity Indicator. PloS one, 12(1), e0169156.
  135. Fayet, A. L., Shoji, A., Freeman, R., Perrins, C. M., & Guilford, T. (2017). Within-pair similarity in migration route and female winter foraging effort predict pair breeding performance in a monogamous seabird. Marine Ecology Progress Series, 569, 243–252.
  136. Fayet, A. L., Freeman, R., Shoji, A., Kirk, H. L., Padget, O., Perrins, C. M., & Guilford, T. (2016). Carry-over effects on the annual cycle of a migratory seabird: an experimental study. Journal of Animal Ecology, 85(6), 1516–1527.
  137. Jacoby, D. M., Siriwat, P., Freeman, R., & Carbone, C. (2016). Correction to ‘Is the scaling of swim speed in sharks driven by metabolism?’. Biology Letters, 12(10).
  138. Jacoby, D. M., Siriwat, P., Freeman, R., & Carbone, C. (2016). Correction to ‘Is the scaling of swim speed in sharks driven by metabolism?’. Biology letters, 12(10).
  139. Fayet, A. L., Freeman, R., Shoji, A., Boyle, D., Kirk, H. L., Dean, B. J., Perrins, C. M., & Guilford, T. (2016). Drivers and fitness consequences of dispersive migration in a pelagic seabird. Behavioral Ecology, 27(4), 1061–1072.
  140. Jacoby, D. M., & Freeman, R. (2016). Emerging Network-Based Tools in Movement Ecology. Trends in ecology & evolution, 31(4), 301–314.
  141. Shoji, A., Aris-Brosou, S., Owen, E., Bolton, M., Boyle, D., Fayet, A., ... & others (2016). Foraging flexibility and search patterns are unlinked during breeding in a free-ranging seabird. Marine biology, 163(4), 1–10.
  142. Jacoby, D. M., Papastamatiou, Y. P., & Freeman, R. (2016). Inferring animal social networks and leadership: applications for passive monitoring arrays. Journal of the Royal Society Interface, 13(124).
  143. Jacoby, D. M., Siriwat, P., Freeman, R., & Carbone, C. (2016). Is the scaling of swim speed in sharks driven by metabolism?(vol 11, 20150781, 2015). BIOLOGY LETTERS, 12(10).
  144. Jacoby, D. M., Siriwat, P., Freeman, R., & Carbone, C. (2016). Scaling of swim speed in sharks: a reply to Morrison (2016). Biology Letters, 12(8), 20160502.
  145. McRae, L., Deinet, S., & Freeman, R. (2016). The diversity weighted Living Planet Index: controlling for taxonomic bias in a global biodiversity index.
  146. Shoji, A., Dean, B., Kirk, H., Freeman, R., Perrins, C. M., & Guilford, T. (2016). The diving behaviour of the Manx Shearwater Puffinus puffinus. Ibis, 158(3), 598–606.
  147. Dixon, M. L. J. D. B. C. F. R. W. M. (2016). Tracking global change in ecosystem area: The Wetland Extent Trends index. Biological Conservation, 193, 27–35.
  148. Lucas, T. C., Moorcroft, E. A., Freeman, R., Rowcliffe, J. M., & Jones, K. E. (2015). A generalised random encounter model for estimating animal density with remote sensor data. Methods in Ecology and Evolution, 6(5), 500–509.
  149. Jacoby, D. M., Siriwat, P., Freeman, R., & Carbone, C. (2015). Is the scaling of swim speed in sharks driven by metabolism?. Biology letters, 11(12).
  150. Fayet, A. L., Freeman, R., Shoji, A., Padget, O., Perrins, C. M., & Guilford, T. (2015). Lower foraging efficiency in immatures drives spatial segregation with breeding adults in a long-lived pelagic seabird. Animal Behaviour, 110, 79–89.
  151. Flack, A., Biro, D., Guilford, T., & Freeman, R. (2015). Modelling group navigation: transitive social structures improve navigational performance. Journal of the Royal Society Interface, 12(108).
  152. B. Dean, H. K. A. F. A. S. R. F. K. L. C. P. T. G. (2015). Simultaneous multi-colony tracking of a pelagic seabird reveals cross-colony utilization of a shared foraging area. Marine Ecology-Progress Series.
  153. Moorcroft, E., Lucas, T. C., Freeman, R., Rowcliffe, M. J., & Jones, K. E. (2014). A generalized random encounter model for estimating animal density with remote sensor data. The Journal of the Acoustical Society of America, 136(4), 2276–2276.
  154. Shoji, A., Owen, E., Bolton, M., Dean, B., Kirk, H., Fayet, A., ... & others (2014). Flexible foraging strategies in a diving seabird with high flight cost. Marine Biology, 161(9), 2121–2129.
  155. McInerny, G. J., Chen, M., Freeman, R., Gavaghan, D., Meyer, M., Rowland, F., ... & Hortal, J. (2014). Information visualisation for science and policy: engaging users and avoiding bias. Trends in ecology & evolution, 29(3), 148–157.
  156. Mclnerny, G. J., Chen, M., Freeman, R., Gavaghan, D., Meyer, M., & Rowland, F. (2014). Information visualisation for science and policy: engaging users and avoiding bias. Trends in ecology & evolution (Amsterdam), 29(3), 148–157.
  157. Mann, R. P., Armstrong, C., Meade, J., Freeman, R., Biro, D., & Guilford, T. (2014). Landscape complexity influences route-memory formation in navigating pigeons. Biology letters, 10(1).
  158. McLellan, R., Iyengar, L., Jeffries, B., & Oerlemans, N. (2014). Living planet report 2014: species and spaces, people and places.
  159. Osborne, J. M., Bernabeu, M. O., Bruna, M., Calderhead, B., Cooper, J., Dalchau, N., ... & others (2014). Ten simple rules for effective computational research. PLoS Comput Biol, 10(3), e1003506.
  160. Osborne, J. M., Bernabeu, M. O., Bruna, M., Calderhead, B., Cooper, J., Dalchau, N., ... & others (2014). Ten simple rules for effective computational research. PLoS Computational Biology, 10(3), e1003506.
  161. Dean, B., Freeman, R., Kirk, H., Leonard, K., Phillips, R. A., Perrins, C. M., & Guilford, T. (2013). Behavioural mapping of a pelagic seabird: combining multiple sensors and a hidden Markov model reveals the distribution of at-sea behaviour. Journal of The Royal Society Interface, 10(78), 20120570.
  162. Armstrong, C., Wilkinson, H., Meade, J., Biro, D., Freeman, R., & Guilford, T. (2013). Homing Pigeons Respond to Time-Compensated Solar Cues Even in Sight of the Loft. PloS one, 8(5), e63130.
  163. Pettit, B., Flack, A., Freeman, R., Guilford, T., & Biro, D. (2013). Not just passengers: pigeons, Columba livia, can learn homing routes while flying with a more experienced conspecific. Proceedings of the Royal Society B: Biological Sciences, 280(1750).
  164. Flack, A., Freeman, R., Guilford, T., & Biro, D. (2013). Pairs of pigeons act as behavioural units during route learning and co-navigational leadership conflicts. The Journal of Experimental Biology, 216(8), 1434–1438.
  165. Freeman, R., Dean, B., Kirk, H., Leonard, K., Phillips, R., Perrins, C., & Guilford, T. (2013). Predictive ethoinformatics reveals the complex migratory behaviour of a pelagic seabird, the Manx Shearwater. Royal Society Interface.
  166. Freeman, R. M., & Naumowicz, T. (2013). Sensing and communicating data from moving animals.
  167. Walters, C. L., Freeman, R., Collen, A., Dietz, C., Brock Fenton, M., Jones, G., ... & others (2012). A continental-scale tool for acoustic identification of European bats. Journal of Applied Ecology.
  168. Frederiksen, M., Moe, B., Daunt, F., Phillips, R. A., Barrett, R. T., Bogdanova, M. I., ... & others (2012). Multicolony tracking reveals the winter distribution of a pelagic seabird on an ocean basin scale. Diversity and Distributions, 18(6), 530–542.
  169. Freeman, R., Flack, A., Taylor, C., Dean, B., Kirk, H., Fayet, A., Perrins, C., & Guilford, T. (2012). The foraging and migration of Manx shearwaters on Lundy. Annual Report of the Lundy Field Society 2011, 61, 104–108.
  170. Flack, A., Pettit, B., Freeman, R., Guilford, T., & Biro, D. (2012). What are leaders made of? The role of individual experience in determining leader-follower relations in homing pigeons. Animal Behaviour, 83(3), 703–709.
  171. Guilford, T., Freeman, R., Boyle, D., Dean, B., Kirk, H., Phillips, R., & Perrins, C. (2011). A Dispersive Migration in the Atlantic Puffin and Its Implications for Migratory Navigation. PloS one, 6(7), e21336.
  172. Qing, C., Dickinson, P., Lawson, S., & Freeman, R. (2011). Automated visual surveillance of a population of nesting seabirds.
  173. Qing, C., Dickinson, P., Lawson, S., & Freeman, R. (2011). Automatic nesting seabird detection based on boosted HOG-LBP descriptors. Image Processing (ICIP), 2011 18th IEEE International Conference on, 3577–3580.
  174. Freeman, R., Mann, R., Guilford, T., & Biro, D. (2011). Group decisions and individual differences: route fidelity predicts flight leadership in homing pigeons (Columba livia). Biology Letters, 7(1), 63–66.
  175. Mann, R., Freeman, R., Osborne, M., Garnett, R., Armstrong, C., Meade, J., ... & Roberts, S. (2011). Objectively identifying landmark use and predicting flight trajectories of the homing pigeon using Gaussian processes. Journal of The Royal Society Interface, 8(55), 210–219.
  176. Dickinson, P., Qing, C., Lawson, S., Freeman, R., & others (2010). Automated visual monitoring of nesting seabirds. Workshop on visual observation and analysis of animal and insect behaviour, Istanbul.
  177. Freeman, R., Dennis, T., Landers, T., Thompson, D., Bell, E., Walker, M., & Guilford, T. (2010). Black Petrels (Procellaria parkinsoni) Patrol the Ocean Shelf-Break: GPS Tracking of a Vulnerable Procellariiform Seabird. PLoS One, 5(2), e9236.
  178. Freeman, R., Dean, B., Kirk, H., Phillips, R., Roberts, S., Perrins, C., & Guilford, T. (2010). Machine Learning approaches to understanding the migratory behaviour of a small seabird, the Manx Shearwater (Puffinus puffinus). INTEGRATIVE AND COMPARATIVE BIOLOGY, 50, E57–E57.
  179. DEAN, B., FREEMAN, R., KIRK, H., & GUILFORD, T. (2010). Tracking the movements of Lundy’s shearwaters. Lundy Field Society Annual Report, 60, 76–86.
  180. Naumowicz, T., Freeman, R., Kirk, H., Dean, B., Calsyn, M., Liers, A., ... & Schiller, J. (2010). Wireless sensor network for habitat monitoring on Skomer Island. Local Computer Networks (LCN), 2010 IEEE 35th Conference on, 882–889.
  181. Mann, R., Freeman, R., Osborne, M., Garnett, R., Meade, J., Armstrong, C., ... & Roberts, S. (2009). Gaussian processes for prediction of homing pigeon flight trajectories. AIP Conference Proceedings, 1193(1), 360–367.
  182. Guilford, T., Meade, J., Willis, J., Phillips, R. A., Boyle, D., Roberts, S., ... & Perrins, C. (2009). Migration and stopover in a small pelagic seabird, the Manx shearwater Puffinus puffinus: insights from machine learning. Proceedings of the Royal Society B: Biological Sciences, 276(1660), 1215–1223.
  183. Freeman, R., & Biro, D. (2009). Modelling group navigation: dominance and democracy in homing pigeons. The journal of navigation, 62(1), 33–40.
  184. GUILFORD, T., FREEMAN, R., & MAURICE, L. (2009). Where the Lundy shearwaters go. Annual Report of the Lundy Field Society, 74–75.
  185. Dickinson, P., Freeman, R., Patrick, S., & Lawson, S. (2008). Autonomous monitoring of cliff nesting seabirds using computer vision.
  186. Naumowicz, T., Freeman, R., Heil, A., Calsyn, M., Hellmich, E., Brändle, A., Guilford, T., & Schiller, J. (2008). Autonomous monitoring of vulnerable habitats using a wireless sensor network. Proceedings of the workshop on Real-world wireless sensor networks, 51–55.
  187. Guilford, T., Meade, J., Freeman, R., Biro, D., Evans, T., Bonadonna, F., ... & Perrins, C. (2008). GPS tracking of the foraging movements of Manx Shearwaters Puffinus puffinus breeding on Skomer Island, Wales. Ibis, 150(3), 462–473.
  188. Armstrong, C., Mann, R., Collett, M., Freeman, R., Roberts, S., Wilkinson, H., & Guilford, T. (2008). Why do pigeons form habitual routes. Proc. of the Orientation and Navigation—Birds, Humans and Other Animals Conf. of the Royal Institute of Navigation, Reading, UK, 2(4).
  189. Biro, D., Freeman, R., Meade, J., Roberts, S., & Guilford, T. (2007). Pigeons combine compass and landmark guidance in familiar route navigation. Proceedings of the National Academy of Sciences, 104(18), 7471–7476.
  190. Lau, K., Roberts, S., Biro, D., Freeman, R., Meade, J., & Guilford, T. (2006). An edge-detection approach to investigating pigeon navigation. Journal of theoretical biology, 239(1), 71–78.
  191. Bull, J. M., Smith, L. A., Ball, C., Pottage, L., & Freeman, R. (2003). Benchmarking Java against C and Fortran for scientific applications. Concurrency and Computation: Practice and Experience, 15(3-5), 417–430.
  192. Dancer, A., Keane, A., Beale, C. M., Dobson, A. D., Amin, R., Freeman, R., ... & others (n.d.). Article title: Evidence of deterrence from patrol data: Trialling application of a differenced-CPUE metric.
  193. Freeman, R., Mann, R., Guilford, T., & Biro, D. (n.d.). Group decisions and individual differences: route fidelity.
  194. Beaufort, I., Caritat, A. D., Sourd, C., Gauffier, A., Valingot, M., Chaumien, M., ... & others (n.d.). Living Planet Report 2016-Risk and resilience in a new era. Synthesis.
  195. Deinet, S., Marconi, V., Freeman, R., Puleston, H., & McRae, L. (n.d.). LPR 2024 Technical.
  196. Fayet, A. L., Freeman, R., Anker-Nilssen, T., Erikstad, K. E., Fifield, D., Hansen, E. S., ... & others (n.d.). Migratory strategies of Atlantic puffins across their breeding range: behavioural differences and environmental drivers on a global population scale. Long-distance movements in pelagic seabirds: at-sea behaviour and life-history consequences, 103.
  197. Millard, J., Cornford, R., Dove, S., Johnson, T. F., & Freeman, R. (n.d.). Realising the potential of real-time online monitoring for conservation culturomics.
  198. Dean, B., Kirk, H., Freeman, R., Leonard, K., Perrins, C., & Guilford, T. (n.d.). Simultaneous multi-colony tracking of the Manx shearwater reveals cross-colony utilization of a shared resource. The at-sea behaviour of the Manx shearwater, 73.
  199. Lucas, T. C., Moorcroft, E. A., Freeman, R., & Rowcliffe, M. J. (n.d.). SUPPLEMENTARY INFORMATION: A GENERALISED RANDOM ENCOUNTER MODEL FOR ESTIMATING ANIMAL DENSITY WITH REMOTE SENSOR DATA.
  200. Joppa, L., & Freeman, R. (n.d.). Technology for nature.
  201. Dean, B., Kirk, H., Freeman, R., Perrins, C., & Guilford, T. (n.d.). The diving behaviour of the Manx shearwater. The at-sea behaviour of the Manx shearwater, 125.
  202. Dean, B., Fayet, A., Freeman, R., Perrins, C., & Guilford, T. (n.d.). The effect of reduced provisioning requirement on the provisioning and foraging behaviour of Manx shearwater parents. The at-sea behaviour of the Manx shearwater, 213.
  203. Dean, B., Kirk, H., Freeman, R., Perrins, C., & Guilford, T. (n.d.). Tracking the pre-laying exodus of male and female Manx shearwaters. The at-sea behaviour of the Manx shearwater, 17.