| NatureServe | email gio@natureserve.org |
| 2550 South Clark Street, Suite 930 | phone +1 (703) 908-1874 |
| Arlington | www giorapacciuolo.com |
| Virginia 22202, USA | twitter @giorapac |
Models and forecasts of the distribution of species and ecosystems under environmental change.
Geospatial analyses and GIS.
Systematic conservation planning.
Synthesis, management, and analysis of big datasets.
Interactive web-based visualizations.
Open and reproducible science workflows.
Expertise at the interface between biodiversity science and conservation practice.
Leadership of multi-institution project teams and diverse stakeholder groups.
Excellent written and oral communication and knowledge transfer skills.
Ph.D., Biodiversity and Global Change. Imperial College London, UK
Advisors: Prof Andy Purvis (Imperial College London), Dr David Roy (Centre for Ecology and Hydrology)
MSci (undergraduate degree), Biology, 1st class honors. Imperial College London, UK
Director of Applied Science Programs. NatureServe, VA, USA
Biodiversity Data Scientist. California Academy of Sciences, CA, USA
Postdoctoral Scholar. University of California Merced, CA, USA
Advisors: Prof Michael Dawson, Prof Jessica Blois. Funding: NSF Dimensions of Biodiversity Grant.
Biodiversity Postdoctoral Associate. NatureServe, VA, USA
Advisors: Dr Bruce Young, Prof Catherine Graham. Funding: NSF Dimensions of Biodiversity Grant.
Postdoctoral Scholar. University of California Berkeley, CA, USA
Advisors: Prof Rosemary Gillespie, Prof Charles Marshall. Funding: Berkeley in Global Change Biology.
Ocean Protection Council. State of California Natural Resources Agency, CA, USA.
Ecography Award for Excellence in Ecology and Evolution, Winner. Nordic Society Oikos, SWE.
Socio-environmental Immersion Fellowship. SESYNC, MY, USA.
Postdoctoral Scholarship. Berkeley Initiative in Global Change Biology, CA, USA.
Climate Change Research Scholarship. Old Mutual plc, UK.
Rapacciuolo G, Young A, Johnson R. Deriving indicators of biodiversity change from unstructured community-contributed data. Oikos 130: 1225–1239. Editor’s Choice. Find full text.
Santini L, Antão L, Jung M, Benítez-López A, Rapacciuolo G, Di Marco M, Jones F, Haghkerdar J, González-Suárez M. The interface between Macroecology and Conservation: existing links and untapped opportunities. Frontiers of Biogeography. Find full text.
Zurell D [and 22 others, including Rapacciuolo G] (2020). A standard protocol for reporting species distribution models. Ecography 43: 1261-1277. Find full text.
Rapacciuolo G, Rominger AJ, Morueta-Holme N, Blois JL (2019). Editorial: Ecological non-equilibrium in the Anthropocene. Frontiers in Ecology and Evolution 7:428. Find full text.
Rapacciuolo G, Beman JM, Schiebelhut LM, Dawson MN (2019). Microbes and macro-invertebrates show parallel beta-diversity but contrasting alpha-diversity patterns in a marine natural experiment. Proceedings of the Royal Society B 286. Find full text.
Rapacciuolo G & Blois J (2019) Understanding ecological change across large spatial, temporal and taxonomic scales: integrating data and methods in light of theory. Ecography 42: 1247-1266. Find full text. This publication was awarded the Ecography Award for Excellence in Ecology and Evolution.
Bouchet PJ [and 28 others, including Rapacciuolo G] (2019). Better Model Transfers Require Knowledge of Mechanisms. Trends in Ecology and Evolution 34: 489-490. Find full text.
Radeloff VC [and 17 others, including Rapacciuolo G] (2019). The Dynamic Habitat Indices (DHIs) from MODIS and global biodiversity. Remote Sensing of Environment 222: 204-214. Find full text.
Rapacciuolo G, Graham CH, Marin, J, Behm JE, Costa GC, Hedges SB, Helmus MR, Radeloff VC, Young BE, Brooks TM (2019). Species diversity as a surrogate for the conservation of phylogenetic and functional diversity in terrestrial vertebrates across the Americas. Nature Ecology & Evolution 3: 53-61. Find full text.
Rapacciuolo G. (2019). Strengthening the contribution of macroecological models to conservation practice. Invited contribution for the Macroecology 30th Anniversary Issue at Global Ecology and Biogeography 28: 54-60. Find full text.
Yates KL [and 49 others, including Rapacciuolo G] (2018). Outstanding challenges in the transferability of ecological models. Trends in Ecology and Evolution 33: 790-802. Find full text.
Marin J, Rapacciuolo G, Costa GC, Graham CH, Brooks TM, Young BE, Radeloff VC, Behm JE, Helmus MR, Hedges SB (2018). Evolutionary time drives global tetrapod diversity. Proc. Roy. Soc. B 285. Find full text.
Rapacciuolo G, Ball-Damerow JE, Zeilinger A, Resh VH (2017). Detecting long-term occupancy changes in Californian odonates from natural history and citizen science records. Biodiversity and Conservation 26: 2933-2949. Find full text.
Rapacciuolo G, Marin J, Costa GC, Helmus MR, Behm JE, Brooks TM, Hedges SB, Radeloff VC, Young BE, Graham CH (2017). The signature of human pressure history on the biogeography of body mass in tetrapods. Global Ecology and Biogeography 26: 1022-1034. Find full text.
Zeilinger A, Rapacciuolo G, Turek D, Oboyski P, Almeida R, Roderick G (2017). Museum specimen data reveal emergence of a plant disease may be linked to increases in the insect vector population. Ecological Applications 27: 1827-1837. Find full text.
Young BE, Auer S, Ormes M, Rapacciuolo G, Schweitzer D, Sears N (2017). Are pollinating hawk moths declining in the Northeastern United States? An analysis of collection records. PLoS ONE 12: e0185683. Find full text.
Fiorella KJ, Rapacciuolo G, Trisos C. (2016). Species loss: learn from health metrics. Nature (Correspondence) 538: 371. Find full text.
Kelly M, Easterday K, Rapacciuolo G, Koo MS, McIntyre P, Thorne J. (2016). Rescuing and sharing historical vegetation data for ecological analysis: The California Vegetation Type Mapping project. Biodiversity Data Journal 11: 40 - 62. Find full text.
Pearse WD, Chase MW, Crawley MJ, Dolphin K, Fay MF, Joseph JA, Powney G, Preston CD, Rapacciuolo G, Roy DB, and Purvis A. (2015). Beyond the EDGE with EDAM: prioritising British plant species according to evolutionary distinctiveness, and accuracy and magnitude of decline. PLoS One 10: e0126524. Find full text.
Rapacciuolo G, Maher S, Schneider AC, Hammond TT, Jabis MD, Walsh WE, Iknayan KJ, Walden GK, Oldfather MF, Ackerly DD, Beissinger SR (2014). Beyond a warming fingerprint: individualistic biogeographic responses to heterogeneous climate change in California. Global Change Biology 20: 2841 - 2855. Find full text.
Rapacciuolo G, Roy DB, Gillings S, Purvis A (2014). Temporal validation plots: quantifying how well species distribution models predict species’ range changes over time. Methods in Ecology and Evolution 5: 407 - 420. Find full text.
Powney GD, Rapacciuolo G, Preston CD, Purvis A, Roy DB (2014). A phylogenetically-informed trait-based analysis of range change in the vascular plant flora of Britain. Biodiversity and Conservation 23: 171 - 185. Find full text.
Rapacciuolo G, Roy DB, Gillings S, Fox R, Walker K, Purvis A (2012). Climatic associations of British species distributions show good transferability in time but low predictive accuracy for range change. PLoS One 7: e40212. Find full text.
Oliver TH, Gillings S, Girardello M, Rapacciuolo G, Brereton TM, Siriwardena GM, Roy DB, Pywell R, Fuller RJ (2012). Population density but not stability can be predicted from species distribution models. Journal of Applied Ecology 49: 581 - 590. Find full text.
Rapacciuolo G, Young A, Johnson R (2020). Monitoring California’s Coastal Biodiversity with Crowd-Sourced Citizen Science. California Academy of Sciences, CA, California Ocean Protection Council, CA, and California Department of Fish and Wildlife, CA. p. 38. Find full text.
Rapacciuolo G (2018). It’s time to strengthen the macroecology–conservation practice interface (commentary). Mongabay. Find full text.
Rapacciuolo G (2018). Knowledge of species diversity may be sufficient to preserve other dimensions of biodiversity. Nature Ecology & Evolution Community Blog. Find full text.
Expertise in species distribution and occupancy modeling using Generalized Linear, Machine Learning, and Hierarchical Bayesian models.
Expertise in modeling spatial and temporal variation in species, functional and phylogenetic diversity of ecological communities.
Expertise in geospatial analyses and Geographic Information Systems (GIS) using R, ArcGIS and ArcPy.
Expertise in systematic spatial conservation planning using Zonation and Marxan.
Expertise in R programming and statistical environment for integration, manipulation and analysis of big data.
Expertise in data visualization and sharing using ggplot2, R Markdown, R Shiny, HTML, CSS.
Expertise in web-based interactive mapping and dashboard applications using leaflet, D3, plotly with R Shiny.
Expertise in in reproducible workflows, code version control and management using Git and GitHub.
Working knowledge of Python, SQL and JavaScript.
Expertise in the steering and coordination of large biodiversity science projects involving diverse collaborators, multiple disciplines and cultures.
Experience in building and maintaining partnerships with biodiversity knowledge stakeholders, including policymakers, managers, academic researchers, and the public.
Trilingual: English (native), French (native), Italian (native).
Ecological Society of America 2020 Annual Meeting, Virtual.
“Realizing the potential of big unstructured opportunistic data sources to detect changes in biodiversity”.
University of California Berkeley, Berkeley, CA, USA.
“Detecting biodiversity change from unstructured citizen science data to inform coastal management”.
Sonoma State University, Santa Rosa, CA, USA.
“Detecting biodiversity change from unstructured citizen science data to inform coastal management”.
San Francisco State University, San Francisco, CA, USA.
“Detecting biodiversity change from unstructured citizen science data”.
University of California Berkeley, Berkeley, CA, USA.
“Dimensions of terrestrial vertebrate biodiversity: key drivers and opportunities for conservation”.
American Museum of Natural History, New York City, NY, USA.
“The consequences of species loss for terrestrial vertebrate biodiversity”.
University of California, Los Angeles, Los Angeles, CA, USA.
“Improving climate change vulnerability assessments using data on functional traits and historical distributions”.
Australian National University, Canberra, AU.
“Using historic data sources to calibrate and validate models of species’ range dynamics”.
Botanical Society of the British Isles, Edinburgh, UK.
“Can we predict recently-observed changes in the British Flora?”.
“Community-powered biodiversity conservation: how your observations can guide coastal management”. Webinar.
“Deriving indicators of biodiversity change from crowdsourced unstructured community-contributed data”. British Ecological Society Festival of Ecology.
“A Community-powered Early Warning System for Biodiversity Change on the California Coast”. Western Society of Naturalists Annual Meeting 2020.
“Increasing the usefulness of crowd-sourced citizen science data to monitor and understand biodiversity”. Digital Data in Biodiversity Research Conference, Virtual.
“Monitoring Marine Protected Areas using Citizen Science”. AGU Ocean Sciences 2020, San Diego, CA, USA.
“Monitoring Marine Protected Areas using Citizen Science”. AGU 2020 Fall Meeting, San Francisco, CA, USA.
“Monitoring Marine Protected Areas using Citizen Science”. 5th Ocean Climate Summit, San Francisco, CA, USA.
“Are there universal biodiversity rules? Insights from a marine natural experimental system”. International Biogeography Society Biennial Meeting, Malaga, ES.
“We have all the data, now what? The importance of planning for biodiversity data integration”. Digital Data in Biodiversity Research Conference, Berkeley, CA, USA.
“The Nature of Communities”. Fundamentals of Ecology. University of California, Merced, CA, USA.
“Change in Communities”. Fundamentals of Ecology. University of California, Merced, CA, USA.
Computational workshops: Introduction to R, Introduction to R as a GIS, Species Distribution Modeling in R. California Academy of Sciences, CA, USA.
Species Distribution Modeling workshop. University of California, Berkeley, CA, USA.
Generalised Linear Modeling in R course. Imperial College London, UK.
Emma Sheard. MS, Ecology, Evolution and Conservation, Imperial College London, UK.
Thesis title: “Can biotic interactions be used to explain the distribution of monophagous moths in Britain?”.
Carolina Karuppiah. BS, Psychology, University of California, Merced, CA, USA.
Zachary Malone. BS, Earth System Science, University of California, Merced, CA, USA.
Arif Ali. BS, Computer Science, University of California, Berkeley, CA, USA.
Computing and Biodiversity courses. MS, Ecology, Evolution and Conservation, Imperial College London, UK.
Statistics and Computing courses. years 1-3, BS, Biology, Imperial College London, UK.
Associate Editor for Ecological Solutions and Evidence. British Ecological Society, London, UK.
Guest Associate Editor for Frontiers in Ecology and Evolution, Biogeography and Macroecology section on topic “Ecological non-equilibrium in the Anthropocene”.
Reviewed for Nature Communications, Nature Ecology & Evolution, Trends in Ecology and Evolution, Biology Letters, Global Change Biology, Global Ecology and Biogeography, Ecography, Methods in Ecology and Evolution, Journal of Animal Ecology, Diversity and Distributions, Journal of Biogeography, Animal Conservation, Climate Risk Management, Climatic Change, Ecology and Evolution, IBIS, PLoS One. Publons profile.
“Silicon Valley 2.0”. Climate change adaptation assessment. Santa Clara Office of Sustainability, San Francisco, CA, USA. Sep 2014.
Reviewed for NOAA Sea Grant. Aug 2020
Reviewed for National Science Foundation. Nov 2015.
“Biotic responses to climate change in California”. University of California, Berkeley, CA, USA. Apr-Dec 2013.
“Monitoring California’s Coastal Biodiversity with Citizen Science” Stakeholder Webinar. California Academy of Sciences, San Francisco, CA. May 2020.
“Monitoring MPAs with Citizen Science” Stakeholder Meeting. California Academy of Sciences, San Francisco, CA. Jun 2019.
“Bay Area Biodiversity Modeling Working Group”. California Academy of Sciences, San Francisco, CA. Mar 2019.
Published source code associated with a number of projects on GitHub.
Creator and developer of Climate Change Exposure on the California Coast
Creator and developer of http://calcoast.dob.bio
Collaborated on https://holos.berkeley.edu/.
Developed personal research website: http://giorapacciuolo.com.
Visits turned virtual: Building California’s coastal observatory, California Academy of Sciences, CA, USA.
Biodiversity Study Indicates Large and Small Organisms React Similarly to Environment, Newsroom, UC Merced, CA, USA.
City Nature Challenge segment, from minute 11:00, Inside Science, BBC Radio 4, UK.
Prof Rosemary Gillespie | gillespie@berkeley.edu. Professor, University of California Berkeley, CA, USA.
Prof Andy Purvis | andy.purvis@nhm.ac.uk. Research Leader, Natural History Museum, London, UK.
Dr Rebecca Johnson | rjohnson@calacademy.org, Co-Director Citizen Science, California Academy of Sciences, USA.
Prof Jessica Blois | jblois@ucmerced.edu, Associate Professor, University of California Merced, CA, USA.
Dr Thomas Brooks | thomas.brooks@iucn.org. Head, Science and Knowledge, IUCN, CH.