Research
My interests lie in the use of remote sensing in ecology, biodiversity and conservation research and applications. Currently, I am developing earth observation-based workflows and software to assess ecosystem restoration effectiveness. In the past, I worked extensively on mapping Amazonian forest biodiversity patterns and dynamics using multispectral remote sensing. I have also experience in multispectral, thermal and SAR image processing (topographic and directional normalization, image compositing), remote sensing of soil moisture and evapotranspiration, time series analysis, and distribution modelling of disease vectors.
Publications
Recent
Zuquim, G.
, Van doninck, J., Chaves, P. P., Quesada, C. A., Ruokolainen, K., & Tuomisto, H. (2023).
Introducing a map of soil base cation concentration, an ecologically relevant GIS-layer for Amazonian forests.
Geoderma Regional,
33, Article e00645.
https://doi.org/10.1016/j.geodrs.2023.e00645
Chaves, P. P.
, Van doninck, J., Ruokolainen, K., & Tuomisto, H. (2022).
Impact of spatial configuration of training data on the performance of Amazonian tree species distribution models.
Forest ecology and management,
504, Article 119838.
https://doi.org/10.1016/j.foreco.2021.119838
Chaves, P. P., Reategui Echeverri, N., Ruokolainen, K., Kalliola, R.
, Van doninck, J., Gómez Rivero, E., Zuquim, G., & Tuomisto, H. (2021).
Using forestry inventories and satellite imagery to assess floristic variation in bamboo-dominated forests in Peruvian Amazonia.
Journal of vegetation science,
32(1), Article e12938.
https://doi.org/10.1111/jvs.12938
Zuquim, G., Tuomisto, H., Chaves, P. P., Emilio, T., Moulatlet, G. M., Ruokolainen, K.
, Van doninck, J., & Balslev, H. (2021).
Revealing floristic variation and map uncertainties for different plant groups in western Amazonia.
Journal of vegetation science,
32(5), Article e13081.
https://doi.org/10.1111/jvs.13081
Melo, T. N. D., Cerqueira, M. C., D'Horta, F. M., Tuomisto, H.
, Van doninck, J., & Ribas, C. C. (2021).
Impacts of a large hydroelectric dam on the Madeira River (Brazil) on floodplain avifauna.
Acta Amazonica,
51(4), 298-310.
https://doi.org/10.1590/1809-4392202100662
Maximiano, M. F. D. A., d'Horta, F. M., Tuomisto, H., Zuquim, G.
, Van doninck, J., & Ribas, C. C. (2020).
The relative role of rivers, environmental heterogeneity and species traits in driving compositional changes in southeastern Amazonian bird assemblages.
Biotropica,
52(5), 946-962.
https://doi.org/10.1111/btp.12793
Chaves, P. P., Zuquim, G., Ruokolainen, K.
, Van doninck, J., Kalliola, R., Rivero, E. G., & Tuomisto, H. (2020).
Mapping floristic patterns of trees in Peruvian Amazonia using remote sensing and machine learning.
Remote sensing,
12(9), Article 1523.
https://doi.org/10.3390/RS12091523
Van doninck, J., Westerholm, J., Ruokolainen, K., Tuomisto, H., & Kalliola, R. (2020).
Dating flowering cycles of Amazonian bamboo-dominated forests by supervised Landsat time series segmentation.
International Journal of Applied Earth Observation and Geoinformation,
93, Article 102196.
https://doi.org/10.1016/j.jag.2020.102196
Terraube, J.
, Van doninck, J., Helle, P., & Cabeza, M. (2020).
Assessing the effectiveness of a national protected area network for carnivore conservation.
Nature communications,
11(1), Article 2957.
https://doi.org/10.1038/s41467-020-16792-7
Van doninck, J., Jones, M. M., Zuquim, G., Ruokolainen, K., Moulatlet, G. M., Sirén, A., Cárdenas, G., Lehtonen, S., & Tuomisto, H. (2019).
Multispectral canopy reflectance improves spatial distribution models of Amazonian understory species.
Ecography,
43(1), 128-137.
https://doi.org/10.1111/ecog.04729
UT Research Information System
Current Projects
Contact Details
Visiting Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
(building no. 19), room 1116
Hallenweg 8
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
1116
P.O. Box 217
7500 AE Enschede
The Netherlands
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Natural Resources (NRS)