@article{tonini_jones_miranda_cobb_sturtevant_meentemeyer_2018, title={Modeling epidemiological disturbances in LANDIS-II}, volume={41}, ISSN={["1600-0587"]}, url={http://dx.doi.org/10.1111/ecog.03539}, DOI={10.1111/ecog.03539}, abstractNote={Forest landscape simulation models (FLSMs) – often used to understand and project forest dynamics over space and time in response to environmental disturbance – have rarely included realistic epidemiological processes of plant disease transmission and impacts. Landscape epidemiological models, by contrast, frequently treat forest ecosystems as static or make simple assumptions regarding ecosystem change following disease. Here we present the Base Epidemiological Disturbance Agent (EDA) extension that allows users of the LANDIS‐II FLSM to simulate forest pathogen spread and host mortality within a spatially explicit forest simulation. EDA enables users to investigate forest pathogen spread and impacts over large landscapes (> 105 ha) and long time periods. We evaluate the model extension using Phytophthora ramorum as a case study of an invasive plant pathogen causing emerging infectious disease and considerable tree mortality in California. EDA will advance the utility of LANDIS‐II and forest disease modeling in general.}, number={12}, journal={ECOGRAPHY}, author={Tonini, Francesco and Jones, Chris and Miranda, Brian R. and Cobb, Richard C. and Sturtevant, Brian R. and Meentemeyer, Ross K.}, year={2018}, month={Dec}, pages={2038–2044} }
 @article{tonini_shoemaker_petrasova_harmon_petras_cobb_mitasova_meentemeyer_2017, title={Tangible geospatial modeling for collaborative solutions to invasive species management}, volume={92}, ISSN={["1873-6726"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85014320386&partnerID=MN8TOARS}, DOI={10.1016/j.envsoft.2017.02.020}, abstractNote={Managing landscape-scale environmental problems, such as biological invasions, can be facilitated by integrating realistic geospatial models with user-friendly interfaces that stakeholders can use to make critical management decisions. However, gaps between scientific theory and application have typically limited opportunities for model-based knowledge to reach the stakeholders responsible for problem-solving. To address this challenge, we introduce Tangible Landscape, an open-source participatory modeling tool providing an interactive, shared arena for consensus-building and development of collaborative solutions for landscape-scale problems. Using Tangible Landscape, stakeholders gather around a geographically realistic 3D visualization and explore management scenarios with instant feedback; users direct model simulations with intuitive tangible gestures and compare alternative strategies with an output dashboard. We applied Tangible Landscape to the complex problem of managing the emerging infectious disease, sudden oak death, in California and explored its potential to generate co-learning and collaborative management strategies among actors representing stakeholders with competing management aims.}, journal={ENVIRONMENTAL MODELLING & SOFTWARE}, author={Tonini, Francesco and Shoemaker, Douglas and Petrasova, Anna and Harmon, Brendan and Petras, Vaclav and Cobb, Richard C. and Mitasova, Helena and Meentemeyer, Ross K.}, year={2017}, month={Jun}, pages={176–188} }
 @article{scheffrahn_hochmair_tonini_krecek_su_fitzgerald_hendricken_chase_mangold_olynik_2016, title={Proliferation of the invasive termite Coptotermes gestroi (Isoptera: Rhinotermitidae) on Grand Cayman and overall termite diversity on the Cayman Islands}, volume={99}, number={3}, journal={Florida Entomologist}, author={Scheffrahn, R. H. and Hochmair, H. H. and Tonini, F. and Krecek, J. and Su, N. Y. and Fitzgerald, P. and Hendricken, K. and Chase, J. A. and Mangold, J. and Olynik, J.}, year={2016}, pages={496–504} }
 @article{tonini_dillon_money_meentemeyer_2016, title={Spatio-temporal reconstruction of missing forest microclimate measurements}, volume={218}, ISSN={["1873-2240"]}, DOI={10.1016/j.agrformet.2015.11.004}, abstractNote={Scientists and land managers are increasingly monitoring forest microclimate environments to better understand ecosystem processes, such as carbon sequestration and the population dynamics of species. Obtaining reliable time-series measurements of microclimate conditions is often hindered by missing and erroneous values. In this study, we compare spatio-temporal techniques, space–time kriging (probabilistic) and empirical orthogonal functions (deterministic), for reconstructing hourly time series of near-surface air temperature recorded by a dense network of 200 forest understory sensors across a heterogeneous 349 km2 region in northern California. The reconstructed data were also aggregated to daily mean, minimum, and maximum in order to understand the sensitivity of model predictions to temporal scale of measurement. Empirical orthogonal functions performed best at both the hourly and daily time scale. We analyzed several scenarios to understand the effects that spatial coverage and patterns of missing data may have on model accuracy: (a) random reduction of the sample size/density by 25%, 50%, and 75% (spatial coverage); and (b) random removal of either 50% of the data, or three consecutive months of observations at randomly chosen stations (random and seasonal temporal missingness, respectively). Here, space–time kriging was less sensitive to scenarios of spatial coverage, but more sensitive to temporal missingness, with less marked differences between the two approaches when data were aggregated on a daily time scale. This research contextualizes trade-offs between techniques and provides practical guidelines, with free source code, for filling data gaps depending on the spatial density and coverage of measurements.}, journal={AGRICULTURAL AND FOREST METEOROLOGY}, publisher={Elsevier BV}, author={Tonini, Francesco and Dillon, Whalen W. and Money, Eric S. and Meentemeyer, Ross K.}, year={2016}, month={Mar}, pages={1–10} }
 @article{zielstra_hochmair_neis_tonini_2014, title={Areal delineation of home regions from contribution and editing patterns in OpenStreetMap}, volume={3}, number={4}, journal={International Journal of Geo-Information}, author={Zielstra, D. and Hochmair, H. H. and Neis, P. and Tonini, F.}, year={2014}, pages={1211–1233} }
 @article{tonini_divino_jona_giovanna_hartwig h._scheffrahn_2014, title={Predicting the geographical distribution of two invasive termite species from occurrence data}, volume={43}, number={5}, journal={Environmental Entomology}, author={Tonini, F. and Divino, F. and Jona, L. and Giovanna, H. and Hartwig H. and Scheffrahn, R. H.}, year={2014}, pages={1135–1144} }
 @article{tonini_hochmair_scheffrahn_deangelis_2014, title={Stochastic spread models: A comparison between an individual-based and a lattice-based model for assessing the expansion of invasive termites over a landscape}, volume={24}, journal={Ecological Informatics}, author={Tonini, F. and Hochmair, H. H. and Scheffrahn, R. H. and DeAngelis, D. L.}, year={2014}, pages={222–230} }
 @article{tonini_hochmair_scheffrahn_deangelis_2013, title={Simulating the spread of an invasive termite in an urban environment using a stochastic individual-based model}, volume={42}, number={3}, journal={Environmental Entomology}, author={Tonini, F. and Hochmair, H. H. and Scheffrahn, R. H. and DeAngelis, D. L.}, year={2013}, pages={412–423} }
 @article{hochmair_tonini_scheffrahn_2013, title={The role of geographic information systems for analyzing infestations and spread of invasive termites (Isoptera: Rhinotermitidae and Termitidae) in urban south Florida}, volume={96}, number={3}, journal={Florida Entomologist}, author={Hochmair, H. H. and Tonini, F. and Scheffrahn, R. H.}, year={2013}, pages={746–755} }
 @article{tonini_jona lasinio_hochmair_2012, title={Mapping return levels of absolute NDVI variations for the assessment of drought risk in Ethiopia}, volume={18}, journal={International Journal of Applied Earth Observation and Geoinformation}, author={Tonini, F. and Jona Lasinio, G. and Hochmair, H. H.}, year={2012}, pages={564–572} }