Ecological networks - Community assembly - Global change

Dr Miguel Lurgi Rivera

Associate Professor, Biosciences

miguel.lurgi@swansea.ac.uk

Office - 102C
First Floor
Margam Building
Singleton Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0001-9891-895X

Google Scholar

About

I am a computational ecologist focusing on the development of ecological theory and the analysis of large datasets to gain a better understanding of community assembly and ecological patterns of species distributions and interactions in complex natural communities.

My main research focus is on the mechanisms behind the emergence of complexity in ecological networks and the development of theoretical models of community and network dynamics to better understand these mechanisms and the patterns they give rise to.

Areas Of Expertise

Ecological Networks
Community Ecology
Food Web Theory
Network Biogeography
Microbiome
Theoretical Ecology
Global change (invasions, habitat loss, warming)

Career Highlights

Teaching Interests

Teaching Ecological Thoery is one of my favourite activities. Especially focusing on networks of ecological interactions.

Check this out if you are interested in learning about different ecological concepts:

https://padlet.com/miguel_lurgi/me9sk6j2firo

I have also put toghther this short tutorial on how to approach and analyse ecological networks:

https://mlurgi.github.io/networks_for_r/

I believe that the best way to learn is by doing and discussing passionately about science. So, please feel free to drop me a line or by my office with any interesting questions or topics about pretty much anything.

Current topics that interest me include: complex systems - philoshophy of science - observations of rare birds - the Hutchinsonian niche - geographical ecology...

Research Award Highlights Collaborations

Publications

Research Highlights

Wells, K., Lurgi Rivera, M., Collins, B., Lucini, B., Kao, R., Lloyd, A., Frost, S., & Gravenor, M. (2020). Disease control across urban–rural gradients. Journal of The Royal Society Interface, 17(173), 20200775
https://doi.org/10.1098/rsif.2020.0775, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55650
Sentis, A., Montoya, J., & Lurgi Rivera, M. (2021). Warming indirectly increases invasion success in food webs. Proceedings of the Royal Society B: Biological Sciences, 288(1947)
https://doi.org/10.1098/rspb.2020.2622, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55352
http://dx.doi.org/10.1098/rspb.2020.2622
Pascelli, C., Laffy, P., Botté, E., Kupresanin, M., Rattei, T., Lurgi Rivera, M., Ravasi, T., & Webster, N. (2020). Viral ecogenomics across the Porifera. Microbiome, 8(1)
https://doi.org/10.1186/s40168-020-00919-5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55350
Lurgi Rivera, M., Galiana, N., Broitman, B., Kéfi, S., Wieters, E., & Navarrete, S. (2020). Geographical variation of multiplex ecological networks in marine intertidal communities. Ecology, 101(11)
https://doi.org/10.1002/ecy.3165, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55349
Roy‐Dufresne, E., Lurgi, M., Brown, S., Wells, K., Cooke, B., Mutze, G., Peacock, D., Cassey, P., Berman, D., Brook, B., Campbell, S., Cox, T., Daly, J., Dunk, I., Elsworth, P., Fletcher, D., Forsyth, D., Hocking, G., Kovaliski, J...., & Lurgi Rivera, M. (2019). The Australian National Rabbit Database: 50 yr of population monitoring of an invasive species. Ecology, e02750
https://doi.org/10.1002/ecy.2750, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49895
https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecy.2750
Donohue, I., Hillebrand, H., Montoya, J., Petchey, O., Pimm, S., Fowler, M., Healy, K., Jackson, A., Lurgi, M., McClean, D., O'Connor, N., O'Gorman, E., Yang, Q., & Lurgi Rivera, M. (2016). Navigating the complexity of ecological stability. Ecology Letters, 19(9), 1172-1185.
https://doi.org/10.1111/ele.12648, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa29600
https://pure.qub.ac.uk/portal/files/50834411/Donohue_et_al_ELE_FINAL.pdf
Lurgi, M., Wells, K., Kennedy, M., Campbell, S., Fordham, D., & Lurgi Rivera, M. (2016). A Landscape Approach to Invasive Species Management. PLOS ONE, 11(7), e0160417
https://doi.org/10.1371/journal.pone.0160417, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa45080
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0160417
McWilliams, C., Lurgi Rivera, M., Montoya, J., Sauve, A., & Montoya, D. (2019). The stability of multitrophic communities under habitat loss. Nature Communications, 10(1)
https://doi.org/10.1038/s41467-019-10370-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50520
https://www.nature.com/articles/s41467-019-10370-2
Lurgi Rivera, M., Thomas, T., Wemheuer, B., Webster, N., & Montoya, J. (2019). Modularity and predicted functions of the global sponge-microbiome network. Nature Communications, 10(992)
https://doi.org/10.1038/s41467-019-08925-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49036
García-Díaz, P., Anderson, D., Lurgi, M., & Lurgi Rivera, M. (2019). Evaluating the effects of landscape structure on the recovery of an invasive vertebrate after population control. Landscape Ecology, 34(3), 615-626.
https://doi.org/10.1007/s10980-019-00796-w, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49777
Espunyes, J., Lurgi Rivera, M., Büntgen, U., Bartolomé, J., Calleja, J., Gálvez-Cerón, A., Peñuelas, J., Claramunt-López, B., & Serrano, E. (2019). Different effects of alpine woody plant expansion on domestic and wild ungulates. Global Change Biology, 25(5), 1808-1819.
https://doi.org/10.1111/gcb.14587, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49037
https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.14587
García-Díaz, P., Prowse, T., Anderson, D., Lurgi, M., Binny, R., Cassey, P., & Lurgi Rivera, M. (2019). A concise guide to developing and using quantitative models in conservation management. Conservation Science and Practice, 1(2), e11
https://doi.org/10.1002/csp2.11, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49038
https://onlinelibrary.wiley.com/doi/full/10.1111/csp2.11
Lurgi Rivera, M., Ritchie, E., & Fordham, D. (2018). Eradicating abundant invasive prey could cause unexpected and varied biodiversity outcomes: The importance of multispecies interactions. Journal of Applied Ecology, 55(5), 2396-2407.
https://doi.org/10.1111/1365-2664.13188, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49039
Galiana, N., Lurgi Rivera, M., Claramunt-López, B., Fortin, M., Leroux, S., Cazelles, K., Gravel, D., & Montoya, J. (2018). The spatial scaling of species interaction networks. Nature Ecology & Evolution, 2(5), 782-790.
https://doi.org/10.1038/s41559-018-0517-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49041
Kéfi, S., Thébault, E., Eklöf, A., Lurgi, M., Davis, A., Kondoh, M., Krumins, J., & Lurgi Rivera, M. (2017). Toward Multiplex Ecological Networks: Accounting for Multiple Interaction Types to Understand Community Structure and Dynamics. Adaptive Food Webs: Stability and Transitions of Real and Model Ecosystems (pp. 73-87). Cambridge University Press
https://doi.org/10.1017/9781316871867.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49042
Wallach, A., Dekker, A., Lurgi Rivera, M., Montoya, J., Fordham, D., & Ritchie, E. (2017). Trophic cascades in 3D: network analysis reveals how apex predators structure ecosystems. Methods in Ecology and Evolution, 8(1), 135-142.
https://doi.org/10.1111/2041-210X.12663, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49043
https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.12663
Thomas, T., Moitinho-Silva, L., Lurgi Rivera, M., Björk, J., Easson, C., Astudillo-García, C., Olson, J., Erwin, P., López-Legentil, S., Luter, H., Chaves-Fonnegra, A., Costa, R., Schupp, P., Steindler, L., Erpenbeck, D., Gilbert, J., Knight, R., Ackermann, G., Lopez, J...., & Webster, N. (2016). Diversity, structure and convergent evolution of the global sponge microbiome. Nature Communications, 7(11870)
https://doi.org/10.1038/ncomms11870, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49045
https://www.nature.com/articles/ncomms11870
Lurgi, M., Montoya, D., Montoya, J., & Lurgi Rivera, M. (2016). The effects of space and diversity of interaction types on the stability of complex ecological networks. Theoretical Ecology, 9(1), 3-13.
https://doi.org/10.1007/s12080-015-0264-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50165
Mellin, C., Lurgi, M., Matthews, S., MacNeil, M., Caley, M., Bax, N., Przeslawski, R., Fordham, D., & Lurgi Rivera, M. (2016). Forecasting marine invasions under climate change: Biotic interactions and demographic processes matter. Biological Conservation, 204, 459-467.
https://doi.org/10.1016/j.biocon.2016.11.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49046
Lurgi, M., Brook, B., Saltré, F., Fordham, D., & Lurgi Rivera, M. (2015). Modelling range dynamics under global change: which framework and why?. Methods in Ecology and Evolution, 6(3), 247-256.
https://doi.org/10.1111/2041-210X.12315, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49049
Galiana, N., Lurgi, M., Montoya, J., López, B., & Lurgi Rivera, M. (2014). Invasions cause biodiversity loss and community simplification in vertebrate food webs. Oikos, 123(6), 721-728.
https://doi.org/10.1111/j.1600-0706.2013.00859.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49050
Lurgi, M., Galiana, N., López, B., Joppa, L., Montoya, J., & Lurgi Rivera, M. (2014). Network complexity and species traits mediate the effects of biological invasions on dynamic food webs. Frontiers in Ecology and Evolution, 2(36)
https://doi.org/10.3389/fevo.2014.00036, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49051
https://www.frontiersin.org/articles/10.3389/fevo.2014.00036/full
Donohue, I., Petchey, O., Montoya, J., Jackson, A., McNally, L., Viana, M., Healy, K., Lurgi, M., O'Connor, N., Emmerson, M., & Lurgi Rivera, M. (2013). On the dimensionality of ecological stability. Ecology Letters, 16(4), 421-429.
https://doi.org/10.1111/ele.12086, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49052
Lurgi, M., Lopez, B., Montoya, J., & Lurgi Rivera, M. (2012). Climate change impacts on body size and food web structure on mountain ecosystems. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1605), 3050-3057.
https://doi.org/10.1098/rstb.2012.0239, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49053
Lurgi, M., Robertson, D., & Lurgi Rivera, M. (2012). Multi-agent Coordination through Mutualistic Interactions. Lecture Notes in Artificial Intelligence (pp. 1-20). Springer
https://doi.org/10.1007/978-3-642-35545-5_1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49054
https://link.springer.com/book/10.1007%2F978-3-642-35545-5
Lurgi, M., Lopez, B., Montoya, J., & Lurgi Rivera, M. (2012). Novel communities from climate change. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1605), 2913-2922.
https://doi.org/10.1098/rstb.2012.0238, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49055
Julia-Sape, M., Lurgi, M., Mier, M., Estanyol, F., Rafael, X., Candiota, A., Barceló, A., Garcia, A., Martinez-Bisbal, M., Ferrer-Luna, R., Moreno-Torres, A., Celda, B., Arus, C., & Lurgi Rivera, M. (2012). Strategies for annotation and curation of translational databases: the eTUMOUR project. Database, 2012(bas035)
https://doi.org/10.1093/database/bas035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49056
Estanyol, F., Rafael, X., Roset, R., Lurgi, M., Mier, M., Lluch-Ariet, M., & Lurgi Rivera, M. (2011). A Web-accessible distributed data warehouse for brain tumour diagnosis. The Knowledge Engineering Review, 26(03), 329-351.
https://doi.org/10.1017/S0269888911000142, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49057
Dupplaw, D., Croitoru, M., Dasmahapatra, S., Gibb, A., González-Vélez, H., Lurgi, M., Hu, B., Lewis, P., Peet, A., & Lurgi Rivera, M. (2011). A knowledge-rich distributed decision support framework: a case study for brain tumour diagnosis. The Knowledge Engineering Review, 26(03), 247-260.
https://doi.org/10.1017/S0269888911000105, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49058
Lurgi, M., Robertson, D., & Lurgi Rivera, M. (2011). Automated experimentation in ecological networks. Automated Experimentation, 3(1)
https://doi.org/10.1186/1759-4499-3-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49059
Lurgi, M., Robertson, D., & Lurgi Rivera, M. (2011). Evolution in ecological agent systems. International Journal of Bio-Inspired Computation, 3(6), 331
https://doi.org/10.1504/IJBIC.2011.043622, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49060
Estanyol, F., Lurgi, M., & Lurgi Rivera, M. (2011). On the implementation of a DBE to improve SME collaboration. In Proceedings of the 5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011) (pp. 147-152). IEEE.
https://doi.org/10.1109/DEST.2011.5936616, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49061
Hu, B., Croitoru, M., Roset, R., Dupplaw, D., Lurgi, M., Dasmahapatra, S., Lewis, P., Martínez-Miranda, J., Sáez, C., & Lurgi Rivera, M. (2011). The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours. The Knowledge Engineering Review, 26(03), 303-328.
https://doi.org/10.1017/S0269888911000130, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49062
Lurgi, M. & Lurgi Rivera, M. (2010). An ecologically inspired simulation tool for managing digital ecosystems. In Proceedings of the 2nd International Conference on Management of Emergent Digital EcoSystems (MEDES 10) (pp. 17-24). ACM.
https://doi.org/10.1145/1936254.1936258, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49063
Lurgi, M., Estanyol, F., & Lurgi Rivera, M. (2010). MADBE: A Multi-Agent Digital Business Ecosystem. In Proceedings of the 4th IEEE International Conference on Digital Ecosystems and Technologies (pp. 262-267). IEEE.
https://doi.org/10.1109/DEST.2010.5610637, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49064
Lurgi, M., Estanyol, F., & Lurgi Rivera, M. (2010). Managing a digital business ecosystem using a simulation tool. In Proceedings of the 2nd International Conference on Management of Emergent Digital EcoSystems (MEDES 10) (pp. 213-220). ACM.
https://doi.org/10.1145/1936254.1936295, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49065
Lurgi Rivera, M. & Robertson, D. (2010). Simple ecological rules yield complex agent networks. Artificial Intelligence Research and Development (pp. 39-48). IOS Press
https://doi.org/10.3233/978-1-60750-643-0-39, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49066
Roset, R., Lurgi Rivera, M., Croitoru, M., Hu, B., Ariet, M., & Lewis, P. (2008). A visual mapping tool for database interoperability: The HealthAgents case. In Proceedings of the Third Conceptual Structures Tool Interoperability Workshop at the 16th International Conference on Conceptual Structures (ICCS 2008) (pp. 44-54). CEUR Workshop Proceedings.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49067
Castillo, C., Lurgi, M., Martínez, I., & Lurgi Rivera, M. (2003). Chimps: An evolutionary reinforcement learning approach for soccer agents. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC'03) (pp. 60-65). IEEE.
https://doi.org/10.1109/ICSMC.2003.1243792, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49068
Galiana, N., Barros, C., Braga, J., Ficetola, G., Maiorano, L., Thuiller, W., Montoya, J., & Lurgi Rivera, M. (2021). The spatial scaling of food web structure across European biogeographical regions. Ecography, 44(5), 653-664.
https://doi.org/10.1111/ecog.05229, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57684
Hopkins, L., Geraldi, N., Pope, E., Holton, M., Lurgi Rivera, M., Duarte, C., & Wilson, R. (2021). Testing angular velocity as a new metric for metabolic demands of slow-moving marine fauna: a case study with Giant spider conchs Lambis truncata. Animal Biotelemetry, 9(1)
https://doi.org/10.1186/s40317-021-00255-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58099
Durrant, R., Hamede, R., Wells, K., & Lurgi Rivera, M. (2021). Disruption of Metapopulation Structure Reduces Tasmanian Devil Facial Tumour Disease Spread at the Expense of Abundance and Genetic Diversity. Pathogens, 10(12), 1592
https://doi.org/10.3390/pathogens10121592, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58980
Galiana, N., Lurgi Rivera, M., Bastazini, V., Bosch, J., Cagnolo, L., Cazelles, K., Claramunt-López, B., Emer, C., Fortin, M., Grass, I., Hernández-Castellano, C., Jauker, F., Leroux, S., McCann, K., McLeod, A., Montoya, D., Mulder, C., Osorio-Canadas, S., Reverté, S...., & Montoya, J. (2022). Ecological network complexity scales with area. Nature Ecology & Evolution, 6(3), 307-314.
https://doi.org/10.1038/s41559-021-01644-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59262
Thompson, L., Wells, K., Galiana, N., & Lurgi Rivera, M. (n.d.) Joint effects of species traits and environmental preferences on range edge shifts of British birds. Global Ecology and Biogeography
https://doi.org/10.1111/geb.13752, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64213
http://dx.doi.org/10.1111/geb.13752
Turnlund, A., Vanwonterghem, I., Botté, E., Randall, C., Giuliano, C., Kam, L., Bell, S., O’Brien, P., Negri, A., Webster, N., & Lurgi Rivera, M. (2023). Linking differences in microbial network structure with changes in coral larval settlement. ISME Communications, 3(1)
https://doi.org/10.1038/s43705-023-00320-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64827
http://dx.doi.org/10.1038/s43705-023-00320-x

All Research

Journal Articles

Turnlund, A., Vanwonterghem, I., Botté, E., Randall, C., Giuliano, C., Kam, L., Bell, S., O’Brien, P., Negri, A., Webster, N., & Lurgi Rivera, M. (2023). Linking differences in microbial network structure with changes in coral larval settlement. ISME Communications, 3(1)
https://doi.org/10.1038/s43705-023-00320-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64827
http://dx.doi.org/10.1038/s43705-023-00320-x
Galiana, N., Lurgi Rivera, M., Bastazini, V., Bosch, J., Cagnolo, L., Cazelles, K., Claramunt-López, B., Emer, C., Fortin, M., Grass, I., Hernández-Castellano, C., Jauker, F., Leroux, S., McCann, K., McLeod, A., Montoya, D., Mulder, C., Osorio-Canadas, S., Reverté, S...., & Montoya, J. (2022). Ecological network complexity scales with area. Nature Ecology & Evolution, 6(3), 307-314.
https://doi.org/10.1038/s41559-021-01644-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59262
Durrant, R., Hamede, R., Wells, K., & Lurgi Rivera, M. (2021). Disruption of Metapopulation Structure Reduces Tasmanian Devil Facial Tumour Disease Spread at the Expense of Abundance and Genetic Diversity. Pathogens, 10(12), 1592
https://doi.org/10.3390/pathogens10121592, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58980
Hopkins, L., Geraldi, N., Pope, E., Holton, M., Lurgi Rivera, M., Duarte, C., & Wilson, R. (2021). Testing angular velocity as a new metric for metabolic demands of slow-moving marine fauna: a case study with Giant spider conchs Lambis truncata. Animal Biotelemetry, 9(1)
https://doi.org/10.1186/s40317-021-00255-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58099
Galiana, N., Barros, C., Braga, J., Ficetola, G., Maiorano, L., Thuiller, W., Montoya, J., & Lurgi Rivera, M. (2021). The spatial scaling of food web structure across European biogeographical regions. Ecography, 44(5), 653-664.
https://doi.org/10.1111/ecog.05229, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57684
Sentis, A., Montoya, J., & Lurgi Rivera, M. (2021). Warming indirectly increases invasion success in food webs. Proceedings of the Royal Society B: Biological Sciences, 288(1947)
https://doi.org/10.1098/rspb.2020.2622, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55352
http://dx.doi.org/10.1098/rspb.2020.2622
Wells, K., Lurgi Rivera, M., Collins, B., Lucini, B., Kao, R., Lloyd, A., Frost, S., & Gravenor, M. (2020). Disease control across urban–rural gradients. Journal of The Royal Society Interface, 17(173), 20200775
https://doi.org/10.1098/rsif.2020.0775, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55650
Pascelli, C., Laffy, P., Botté, E., Kupresanin, M., Rattei, T., Lurgi Rivera, M., Ravasi, T., & Webster, N. (2020). Viral ecogenomics across the Porifera. Microbiome, 8(1)
https://doi.org/10.1186/s40168-020-00919-5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55350
Lurgi Rivera, M., Galiana, N., Broitman, B., Kéfi, S., Wieters, E., & Navarrete, S. (2020). Geographical variation of multiplex ecological networks in marine intertidal communities. Ecology, 101(11)
https://doi.org/10.1002/ecy.3165, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55349
Roy‐Dufresne, E., Lurgi, M., Brown, S., Wells, K., Cooke, B., Mutze, G., Peacock, D., Cassey, P., Berman, D., Brook, B., Campbell, S., Cox, T., Daly, J., Dunk, I., Elsworth, P., Fletcher, D., Forsyth, D., Hocking, G., Kovaliski, J...., & Lurgi Rivera, M. (2019). The Australian National Rabbit Database: 50 yr of population monitoring of an invasive species. Ecology, e02750
https://doi.org/10.1002/ecy.2750, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49895
https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecy.2750
McWilliams, C., Lurgi Rivera, M., Montoya, J., Sauve, A., & Montoya, D. (2019). The stability of multitrophic communities under habitat loss. Nature Communications, 10(1)
https://doi.org/10.1038/s41467-019-10370-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50520
https://www.nature.com/articles/s41467-019-10370-2
García-Díaz, P., Anderson, D., Lurgi, M., & Lurgi Rivera, M. (2019). Evaluating the effects of landscape structure on the recovery of an invasive vertebrate after population control. Landscape Ecology, 34(3), 615-626.
https://doi.org/10.1007/s10980-019-00796-w, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49777
Lurgi Rivera, M., Thomas, T., Wemheuer, B., Webster, N., & Montoya, J. (2019). Modularity and predicted functions of the global sponge-microbiome network. Nature Communications, 10(992)
https://doi.org/10.1038/s41467-019-08925-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49036
Espunyes, J., Lurgi Rivera, M., Büntgen, U., Bartolomé, J., Calleja, J., Gálvez-Cerón, A., Peñuelas, J., Claramunt-López, B., & Serrano, E. (2019). Different effects of alpine woody plant expansion on domestic and wild ungulates. Global Change Biology, 25(5), 1808-1819.
https://doi.org/10.1111/gcb.14587, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49037
https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.14587
García-Díaz, P., Prowse, T., Anderson, D., Lurgi, M., Binny, R., Cassey, P., & Lurgi Rivera, M. (2019). A concise guide to developing and using quantitative models in conservation management. Conservation Science and Practice, 1(2), e11
https://doi.org/10.1002/csp2.11, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49038
https://onlinelibrary.wiley.com/doi/full/10.1111/csp2.11
Lurgi Rivera, M., Ritchie, E., & Fordham, D. (2018). Eradicating abundant invasive prey could cause unexpected and varied biodiversity outcomes: The importance of multispecies interactions. Journal of Applied Ecology, 55(5), 2396-2407.
https://doi.org/10.1111/1365-2664.13188, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49039
Galiana, N., Lurgi Rivera, M., Claramunt-López, B., Fortin, M., Leroux, S., Cazelles, K., Gravel, D., & Montoya, J. (2018). The spatial scaling of species interaction networks. Nature Ecology & Evolution, 2(5), 782-790.
https://doi.org/10.1038/s41559-018-0517-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49041
Wallach, A., Dekker, A., Lurgi Rivera, M., Montoya, J., Fordham, D., & Ritchie, E. (2017). Trophic cascades in 3D: network analysis reveals how apex predators structure ecosystems. Methods in Ecology and Evolution, 8(1), 135-142.
https://doi.org/10.1111/2041-210X.12663, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49043
https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.12663
Lurgi, M., Montoya, D., Montoya, J., & Lurgi Rivera, M. (2016). The effects of space and diversity of interaction types on the stability of complex ecological networks. Theoretical Ecology, 9(1), 3-13.
https://doi.org/10.1007/s12080-015-0264-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50165
Mellin, C., Lurgi, M., Matthews, S., MacNeil, M., Caley, M., Bax, N., Przeslawski, R., Fordham, D., & Lurgi Rivera, M. (2016). Forecasting marine invasions under climate change: Biotic interactions and demographic processes matter. Biological Conservation, 204, 459-467.
https://doi.org/10.1016/j.biocon.2016.11.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49046
Donohue, I., Hillebrand, H., Montoya, J., Petchey, O., Pimm, S., Fowler, M., Healy, K., Jackson, A., Lurgi, M., McClean, D., O'Connor, N., O'Gorman, E., Yang, Q., & Lurgi Rivera, M. (2016). Navigating the complexity of ecological stability. Ecology Letters, 19(9), 1172-1185.
https://doi.org/10.1111/ele.12648, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa29600
https://pure.qub.ac.uk/portal/files/50834411/Donohue_et_al_ELE_FINAL.pdf
Lurgi, M., Wells, K., Kennedy, M., Campbell, S., Fordham, D., & Lurgi Rivera, M. (2016). A Landscape Approach to Invasive Species Management. PLOS ONE, 11(7), e0160417
https://doi.org/10.1371/journal.pone.0160417, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa45080
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0160417
Thomas, T., Moitinho-Silva, L., Lurgi Rivera, M., Björk, J., Easson, C., Astudillo-García, C., Olson, J., Erwin, P., López-Legentil, S., Luter, H., Chaves-Fonnegra, A., Costa, R., Schupp, P., Steindler, L., Erpenbeck, D., Gilbert, J., Knight, R., Ackermann, G., Lopez, J...., & Webster, N. (2016). Diversity, structure and convergent evolution of the global sponge microbiome. Nature Communications, 7(11870)
https://doi.org/10.1038/ncomms11870, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49045
https://www.nature.com/articles/ncomms11870
Lurgi, M., Brook, B., Saltré, F., Fordham, D., & Lurgi Rivera, M. (2015). Modelling range dynamics under global change: which framework and why?. Methods in Ecology and Evolution, 6(3), 247-256.
https://doi.org/10.1111/2041-210X.12315, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49049
Galiana, N., Lurgi, M., Montoya, J., López, B., & Lurgi Rivera, M. (2014). Invasions cause biodiversity loss and community simplification in vertebrate food webs. Oikos, 123(6), 721-728.
https://doi.org/10.1111/j.1600-0706.2013.00859.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49050
Lurgi, M., Galiana, N., López, B., Joppa, L., Montoya, J., & Lurgi Rivera, M. (2014). Network complexity and species traits mediate the effects of biological invasions on dynamic food webs. Frontiers in Ecology and Evolution, 2(36)
https://doi.org/10.3389/fevo.2014.00036, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49051
https://www.frontiersin.org/articles/10.3389/fevo.2014.00036/full
Donohue, I., Petchey, O., Montoya, J., Jackson, A., McNally, L., Viana, M., Healy, K., Lurgi, M., O'Connor, N., Emmerson, M., & Lurgi Rivera, M. (2013). On the dimensionality of ecological stability. Ecology Letters, 16(4), 421-429.
https://doi.org/10.1111/ele.12086, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49052
Julia-Sape, M., Lurgi, M., Mier, M., Estanyol, F., Rafael, X., Candiota, A., Barceló, A., Garcia, A., Martinez-Bisbal, M., Ferrer-Luna, R., Moreno-Torres, A., Celda, B., Arus, C., & Lurgi Rivera, M. (2012). Strategies for annotation and curation of translational databases: the eTUMOUR project. Database, 2012(bas035)
https://doi.org/10.1093/database/bas035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49056
Lurgi, M., Lopez, B., Montoya, J., & Lurgi Rivera, M. (2012). Climate change impacts on body size and food web structure on mountain ecosystems. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1605), 3050-3057.
https://doi.org/10.1098/rstb.2012.0239, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49053
Lurgi, M., Lopez, B., Montoya, J., & Lurgi Rivera, M. (2012). Novel communities from climate change. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1605), 2913-2922.
https://doi.org/10.1098/rstb.2012.0238, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49055
Estanyol, F., Rafael, X., Roset, R., Lurgi, M., Mier, M., Lluch-Ariet, M., & Lurgi Rivera, M. (2011). A Web-accessible distributed data warehouse for brain tumour diagnosis. The Knowledge Engineering Review, 26(03), 329-351.
https://doi.org/10.1017/S0269888911000142, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49057
Dupplaw, D., Croitoru, M., Dasmahapatra, S., Gibb, A., González-Vélez, H., Lurgi, M., Hu, B., Lewis, P., Peet, A., & Lurgi Rivera, M. (2011). A knowledge-rich distributed decision support framework: a case study for brain tumour diagnosis. The Knowledge Engineering Review, 26(03), 247-260.
https://doi.org/10.1017/S0269888911000105, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49058
Hu, B., Croitoru, M., Roset, R., Dupplaw, D., Lurgi, M., Dasmahapatra, S., Lewis, P., Martínez-Miranda, J., Sáez, C., & Lurgi Rivera, M. (2011). The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours. The Knowledge Engineering Review, 26(03), 303-328.
https://doi.org/10.1017/S0269888911000130, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49062
Lurgi, M., Robertson, D., & Lurgi Rivera, M. (2011). Evolution in ecological agent systems. International Journal of Bio-Inspired Computation, 3(6), 331
https://doi.org/10.1504/IJBIC.2011.043622, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49060
Lurgi, M., Robertson, D., & Lurgi Rivera, M. (2011). Automated experimentation in ecological networks. Automated Experimentation, 3(1)
https://doi.org/10.1186/1759-4499-3-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49059
Thompson, L., Wells, K., Galiana, N., & Lurgi Rivera, M. (n.d.) Joint effects of species traits and environmental preferences on range edge shifts of British birds. Global Ecology and Biogeography
https://doi.org/10.1111/geb.13752, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64213
http://dx.doi.org/10.1111/geb.13752

Book Chapters

Kéfi, S., Thébault, E., Eklöf, A., Lurgi, M., Davis, A., Kondoh, M., Krumins, J., & Lurgi Rivera, M. (2017). Toward Multiplex Ecological Networks: Accounting for Multiple Interaction Types to Understand Community Structure and Dynamics. Adaptive Food Webs: Stability and Transitions of Real and Model Ecosystems (pp. 73-87). Cambridge University Press
https://doi.org/10.1017/9781316871867.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49042
Lurgi, M., Robertson, D., & Lurgi Rivera, M. (2012). Multi-agent Coordination through Mutualistic Interactions. Lecture Notes in Artificial Intelligence (pp. 1-20). Springer
https://doi.org/10.1007/978-3-642-35545-5_1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49054
https://link.springer.com/book/10.1007%2F978-3-642-35545-5
Lurgi Rivera, M. & Robertson, D. (2010). Simple ecological rules yield complex agent networks. Artificial Intelligence Research and Development (pp. 39-48). IOS Press
https://doi.org/10.3233/978-1-60750-643-0-39, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49066

Conference Contributions

Estanyol, F., Lurgi, M., & Lurgi Rivera, M. (2011). On the implementation of a DBE to improve SME collaboration. In Proceedings of the 5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011) (pp. 147-152). IEEE.
https://doi.org/10.1109/DEST.2011.5936616, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49061
Lurgi, M. & Lurgi Rivera, M. (2010). An ecologically inspired simulation tool for managing digital ecosystems. In Proceedings of the 2nd International Conference on Management of Emergent Digital EcoSystems (MEDES 10) (pp. 17-24). ACM.
https://doi.org/10.1145/1936254.1936258, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49063
Lurgi, M., Estanyol, F., & Lurgi Rivera, M. (2010). Managing a digital business ecosystem using a simulation tool. In Proceedings of the 2nd International Conference on Management of Emergent Digital EcoSystems (MEDES 10) (pp. 213-220). ACM.
https://doi.org/10.1145/1936254.1936295, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49065
Lurgi, M., Estanyol, F., & Lurgi Rivera, M. (2010). MADBE: A Multi-Agent Digital Business Ecosystem. In Proceedings of the 4th IEEE International Conference on Digital Ecosystems and Technologies (pp. 262-267). IEEE.
https://doi.org/10.1109/DEST.2010.5610637, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49064
Roset, R., Lurgi Rivera, M., Croitoru, M., Hu, B., Ariet, M., & Lewis, P. (2008). A visual mapping tool for database interoperability: The HealthAgents case. In Proceedings of the Third Conceptual Structures Tool Interoperability Workshop at the 16th International Conference on Conceptual Structures (ICCS 2008) (pp. 44-54). CEUR Workshop Proceedings.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49067
Castillo, C., Lurgi, M., Martínez, I., & Lurgi Rivera, M. (2003). Chimps: An evolutionary reinforcement learning approach for soccer agents. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC'03) (pp. 60-65). IEEE.
https://doi.org/10.1109/ICSMC.2003.1243792, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49068

Supervision

Autonomous drone technology for ecology and conservation. (current)

PhD

Other supervisor: Dr Andrew King
Seabird responses to stressors (current)

PhD

Other supervisor: Prof Rory Wilson
Collective animal behaviour and artificial swarm systems (current)

PhD

Other supervisor: Dr Andrew King
The effects of anthropogenic disturbances on food webs (current)

PhD

Other supervisor: Prof Emily Shepard

Other supervisor: Dr Konstans Wells
Understanding the factors affecting community composition of managed saline lagoons to improve conservation (current)

MRes

Other supervisor: Dr Nicole Esteban
Conservation Analysis of the African Baobab (current)

MRes

Other supervisor: Dr Aisling Devine
The role of seagrass meadows in supporting marine and coastal birds. (current)

MRes

Other supervisor: Dr Richard Unsworth
Preliminary assessment into the the use of intertidal grazers in creating self cleaning slipways. (current)

MRes

Other supervisor: Dr Matthew Perkins

Other supervisor: Dr John Griffin
Do predators perceive eyespots as eyes? (awarded 2024)

MRes

Other supervisor: Dr Wendy Harris

Other supervisor: Dr William Allen
Modelling the Current and Future Distribution of Hyperoceanic Bryophytes in the UK (current)

MRes

Other supervisor: Dr Penny Neyland
An investigation into how urbanisations affects the activity budgets of Choloepus hoffmanni and Bradypus variegatus (current)

MRes

Other supervisor: Prof Rory Wilson

Other supervisor: Prof Emily Shepard
Accelerating Towards an Understanding of Foraging in Greater Noctule Bats (current)

MRes

Other supervisor: Prof Rory Wilson
Bimodality in depth use by sharks reflects bimodality in behaviour - a case study with Whale Sharks (Rhincodon typus) (awarded 2023)

MRes

Other supervisor: Dr Kayleigh Rose

Other supervisor: Prof Rory Wilson
Pili Formation in Filamentous Cyanobacteria (awarded 2023)

MRes

Other supervisor: Dr Nicole Esteban

Other supervisor: Prof Mike Fowler
Gene regulation in fatty acid pathways in cyanobacteria exposed to the far red light. (awarded 2023)

MRes

Other supervisor: Dr Nicole Esteban

Taught Modules

BIO252 Ecological Data Analysis

This module introduces students to the basics of analyzing ecological data, using the R Software Environment for Statistical Computing. The topics covered will be also broad enough to be equally applicable to basic data analysis across biology and the skills acquired are widely transferrable for non-academic jobs. Students will receive 8 computer-based workshops/practicals of 2 hours each, complemented by 10 lectures and 11 Stats exercise and Feedback sessions before each workshop. The module will cover 5 broad key themes: 1). Data analysis and statistics, reproducibility and the R Software Environment; 2). Data management; 3). Data visualization; 4). Data analysis - The linear model; 5). Data analysis - Presentation of results and outline of more advanced methods. The module will be subject to continuous assessment consisting of 3 pieces of computer-based work (60% of final mark), which will require the students to carefully complete all course work assigned on a weekly basis ('independent learning'), in order to be able to complete the assignments. A further 40% of the final mark will consist in a data analysis report, to be completed after the end of the course. Weekly readings and non-assessed computer-based exercises will be assigned, too.
BIO261 Population and Community Ecology

This module will introduce students to concepts and basic analytical tools to understand and predict the growth or decline of animal, plant and other populations for: individual species; interacting, multispecies (e.g., predator-prey) communities; and spatial networks connected by dispersal. Students will become familiar with 5 major themes related to ecological dynamics: population growth and density dependence, competition, consumer-resource interactions and spatial processes. Students will develop skills in conceptual thinking and data analysis, using and developing ecological models to predict how populations change over time and space, as well as report writing and presentation skills. Students will learn about how these tools are used in practical situations like conservation and invasive species management. The course will be structured with lectures introducing background information and core concepts being followed by corresponding PC lab sessions where students will gain experience of putting those concepts into practice. An additional workshop session will prepare students for group presentations dealing with classical concepts in population ecology.
BIO330 Tropical marine ecology and conservation

This module will provide a holistic overview of the ecology and conservation of important marine ecosystems, and will place this information within the context of ecosystem services, and their value to humanity. This module will consist of up to 12 lectures/seminars on the following topics: ¿ Diversity and biology of coral reef communities ¿ Structure and function of seagrass meadows (temperate and tropical) ¿ Mangrove forest ecology ¿ Connectivity across the tropical marine seascape ¿ The ecosystem services of tropical marine systems ¿ Response of coral reef systems to climate change and ocean acidification ¿ Degradation of tropical marine systems ¿ Resilience thinking and the management of tropical marine systems The module also contains a workshop session and additional direct contact with the module lead lecturer.
BIO347 Tropical Ecology and Conservation - Borneo Field Trip

Borneo is a hot spot for biodiversity both in regards to terrestrial and marine ecosystems. This module is a residential field course which will explore ecological and conservation principles in tropical rainforests and marine ecosystems.

Dr Miguel Lurgi Rivera

Email address

Research Links

About

Areas Of Expertise

Career Highlights

Publications

Research Highlights

All Research

Journal Articles

Book Chapters

Conference Contributions

Supervision

Autonomous drone technology for ecology and conservation. (current)

Seabird responses to stressors (current)

Collective animal behaviour and artificial swarm systems (current)

The effects of anthropogenic disturbances on food webs (current)

Understanding the factors affecting community composition of managed saline lagoons to improve conservation (current)

Conservation Analysis of the African Baobab (current)

The role of seagrass meadows in supporting marine and coastal birds. (current)

Preliminary assessment into the the use of intertidal grazers in creating self cleaning slipways. (current)

Do predators perceive eyespots as eyes? (awarded 2024)

Modelling the Current and Future Distribution of Hyperoceanic Bryophytes in the UK (current)

An investigation into how urbanisations affects the activity budgets of Choloepus hoffmanni and Bradypus variegatus (current)

Accelerating Towards an Understanding of Foraging in Greater Noctule Bats (current)

Bimodality in depth use by sharks reflects bimodality in behaviour - a case study with Whale Sharks (Rhincodon typus) (awarded 2023)

Pili Formation in Filamentous Cyanobacteria (awarded 2023)

Gene regulation in fatty acid pathways in cyanobacteria exposed to the far red light. (awarded 2023)

Taught Modules

BIO252 Ecological Data Analysis

BIO261 Population and Community Ecology

BIO330 Tropical marine ecology and conservation

BIO347 Tropical Ecology and Conservation - Borneo Field Trip