In the pipeline

[23] Guzman, L. M., Kelly, T., Elle, E. (Submitted to Ecology - ECY22-0087) Data Paper: A dataset for pollinator diversity and their interactions with plants in the Pacific NorthWest.

[22] Shirey, V., Khelifa, R., M'Gonigle, L.K., Guzman, L. M. (In review at Methods in Ecology and Evolution - MEE-21-12-943) Utilizing occupancy-detection models with museum specimen data: promise and pitfalls.

[21]  Jackson, H.M., Johnson, S.A., Morandin, L. A., Richardson, L.L., Guzman, L. M.*, M'Gonigle, L.K. * (In review at Biology Letters- RSBL-2021-0551) Climate change winners and losers among North American bumble bees. *Authors contributed equally


[20]. Srivastava, D., MacDonald, A. A., Pillar, V., Kratina, P., Debastiani, V., Guzman, L. M., Trzcinski, M., Dézerald, O., Barberis, I., de Omena, P., Romero, G., Ospina Bautista, F., Marino, N., Leroy, C., Farjalla, V., Richardson, B., Gonçalves, A., Corbara, B. Petermann, J.S., Richardson, M., Melnychuk, M.C., Jocque, M., Ngai, J.T., Talaga, S., Piccoli, G.O., Montero, G. Kirby, K.R., Starzomski, B.M., Céréghino, R.

(In review at Functional Ecology - FE-2021-01129) Geographical variation in the trait-based assembly patterns of multitrophic invertebrate communities

[19] Guzman, L. M., Kelly, T., Morandin, L., M'Gonigle, L.K., Elle, E. (BiorXiv) Closing the research-implementation gap using data science tools, a case study with pollinators of British Columbia. [DOI

[18] Guzman, L. M., Thompson, P. L., Viana, D.S., Vanschoenwinkel, B., Horváth, Z., Ptacnik, R., Jeliazkov, A., Gascón, S., Lemmens, P., Anton-Pardo, M., Langenheder, S., Meester, L.D., Chase, J.M (2022). Accounting for temporal change in multiple biodiversity patterns improves the inference of metacommunity processes. Ecology. [DOI]

[17] Guzman, L. M., Chamberlain, S. A., Elle, E. (2021). Network robustness and structure depends on the phenological characteristics of plants and pollinators. Ecology and Evolution 11(19) 13321-13334 [DOI][PDF]

[16] Guzman, L. M.,  Johnson, S.A., Mooers, A.O., M'Gonigle, L.K. (2021). Response to: Multiple measures of biodiversity change make for the strongest analyses with historical data. Biological Conservation. 260: 109254 [DOI][PDF]

[15] Guzman, L. M.,  Johnson, S.A., Mooers, A.O., M'Gonigle, L.K. (2021). Using historical data to estimate bumble bee occurrence: variable trends across species provide little support for community-level declines. Biological Conservation. 257:109141 [DOI][PDF]


[14] Lee J.S., Gao, L., Guzman, L.M., Rieseberg, L.H. (2021) Genome-wide Expression and Alternative Splicing in Domesticated Sunflowers (Helianthus annuus L.) under Flooding Stress. Agronomy. 11 (1) 92 [DOI][PDF]

[13] Guzman, L. M.,* Trzcinski, M.*, Barberis, I., Céréghino, R., Srivastava, D., Gilbert, B., Pillar, V., de Omena, P., MacDonald, A. A., Corbara, B., Leroy, C., Bautista, F., Romero, G., Kratina, P., Debastiani, V., Gonçalves, A., Marino, N., Farjalla, V., Richardson, B., Richardson, M., Dézerald, O., Piccoli, G., Jocque, M., Montero, G. (2021) Climate influences the response of community functional traits to local environmental conditions. Ecography. 44 (3) 440-452 *Authors contributed equally​ [DOI][PDF]

[12] Guzman, L. M., Srivastava, D.S. (2020). Genomic variation among populations provides insight into the causes of metacommunity survival. Ecology. 101 (12) e03182 [DOI][PDF]

[11] Thompson, P. L., Guzman, L. M., Meester, L.D., Horváth, Z., Ptacnik, R., Vanschoenwinkel, B., Viana, D.S., Chase, J.M. (2020). A process-based framework and model for metacommunity ecology. Ecology Letters. 23 (9) 1314-1329 [DOI][PDF

[10] Marino, N., Céréghino, R., Gilbert, B., Petermann, J., Srivastava, D., de Omena, P., Bautista, F., Farjalla, V., Guzman, L. M., Romero, G., Trzcinski, M., Barberis, I., Corbara, B., Debastiani, V., Dézerald, O., Kratina, P., Leroy, C., MacDonald, A. A., Montero, G., Pillar, V., Richardson, B., Richardson, M., Talaga, S., Gonçalves, A., Piccoli, G., Jocque, M. (2020). Species niches, not traits, determine abundance-occurrence relationships: a multi-site synthesis. Global Ecology and Biogeography. 29 (2) 295-308 [DOI][PDF]

[9] Guzman, L. M., Pennell, M.W. (2019) Mathematical statistics for biologists and other interesting people. Trends in Ecology and Evolution. 34 (12) 1064-1065 [DOI][PDF]

[8] Guzman, L. M., Pennell, M.W., Nikelski, E., Srivastava, D.S. (2019). Successful integration of data science in undergraduate biostatistics courses using cognitive load theory. CBE-Life Science Education. 18 (4) ar48-es5. [DOI][PDF]

[7] Guzman, L. M., Srivastava, D.S. (2019). Prey body mass and richness underlie the persistence of a top predator. Proc. R. Soc. B 286: 20190622. [DOI][PDF]

[6] Srivastava, D.S., Germain, R.M., Guzman, L. M., Straus, S., Forbes, C. (2019) "Metacommunity Ecology. Monographs in Population Biology, Volume 59 by Mathew A. Leibold and Jonathan M. Chase". The Quarterly Review of Biology. 94 (1), 92. [DOI][PDF]

[5] Guzman, L. M., Germain, R.M., Forbes, C., Straus, S., O’Connor, M.I., Gravel, D., Srivastava, D.S., Thompson, P.L., (2019). Towards a multi-trophic extension of metacommunity ecology. Ecology Letters. 22 (1), 19-33. [DOI] [PDF]

[4] Guzman, L. M., Vanschoenwinkel, B., Farjalla, V. F. , Poon, A., Srivastava, D.S. (2018) A precipitation gradient drives change in macroinvertebrate composition and interactions within bromeliads. PlosOne 13(11): e0200179. [DOI] [PDF]

[3] Céréghino, R., Pillar, V. D., Srivastava, D. S., de Omena, P. M., MacDonald, A. A. M., Barberis, I. M., Corbara, B., Guzman, L. M., Leroy, C., Ospina Bautista, F., Romero, G. Q., Trzcinski, M. K., Kratina, P., Debastiani, V. J., Gonçalves, A. Z., Marino, N. A. C., Farjalla, V. F., Richardson, B. A., Richardson, M. J., Dézerald, O., Gilbert, B., Petermann, J., Talaga, S., Piccoli, G. C. O., Jocqué, M., Montero, G., (2018). Constraints on the functional trait space of aquatic invertebrates in bromeliads. Funct Ecol. 2018;00:1–13. [DOI][PDF]

[2] Friman, V. P*., Guzman, L. M*., Reuman, D. C., Bell, T., (2015). Bacterial adaptation to sublethal antibiotic gradients can change the ecological properties of multitrophic microbial communities. Proc. R. Soc. B 282: 20142920. *Authors contributed equally​. [DOI][PDF]


[1] Gogarten J. F., Guzman M., Chapman C. A., Jacob A. L., Omeja P. A., and Rothman J. M., (2012). What is the predictive power of the colobine protein-to- fiber model?. Tropical Conservation Science. 5(3):381-393. [DOI][PDF]