Animesh Ghose

Maîtrise en écologie | Masters in Ecology
Université du Québec en Abitibi-Témiscamingue

Project Title: Modelling the Effect of Within-Stand Spatial Structure on Mixed Boreal Forest Succession
Directeur: Philippe Marchand
Codirecteur: Kobra Maleki



This is Animesh, a student in Masters program at the Universite du Quebec en Abitibi-Temiscamingue. As a part of my Master's research project, I am modelling the effect of within-stand spatial structure on mixed boreal forest succession using individual based forest simulation model under the supervision of Professor Philippe Marchand. I am also one of the coinvestigators for an independent research project on the carnivore ecology where we are aiming to perform activity pattern analysis, pair-wise co-occurrence and distribution modelling using camera trap and sign survey method. I am broadly interested in the field of community and spatial ecology to connect ecological models with conservation problems.


The spatial configuration of individual trees can affect their growth and survival at a fine scale and change the forest composition and structure at the landscape scale. Thus, understanding the stand spatial dynamics is crucial for forest management. The use of SORTIE-ND, a spatially explicit individual-based forest simulator, allows predictions of the growth, mortality, and recruitment of individual trees at a stand scale by emulating gap dynamics. Our research aims to determine the changes in the spatial structure of forest stands using SORTIE-ND and evaluate the model accuracy by comparing the spatial structure of simulated and observed stands. The simulations will be done and validated with two sets of empirical data from stands located in the boreal mixedwoods of eastern Canada. These stands were formed after eight wildfires since 1760 and represent a chronosequence of 249 years of forest succession, which will serve as input and validation data for the models. We calculated the homogeneous L function of spatial structure for each simulated stand (with initial conditions based on empirical data from younger stands), and compared it with the inhomogenous L function of observed data to check whether the SORTIE-ND model can produce a spatial structure similar to that of the observed stands. For the three most common species in the observed stands, SORTIE-ND was able to reproduce the same spatial pattern for single species and pairs of species. However, the study did not focus on all the tree species of boreal mixed wood and future research on the model performance for other species need to be evaluated.


  • 2019 - 2021 : Masters in Ecology (Université du Québec en Abitibi-Témiscamingue, Canada)
  • 2014 - 2016 : Masters in Science (Forestry) (Shahjalal University of Science & Technology, Bangladesh)
  • 2009 - 2014 : Bachelor in Science (Forestry) (Shahjalal University of Science & Technology, Bangladesh)



  • Volunteer for Data Management, Mermaid Program, Wildlife Conservation Society, Canada.
  • Wildlife Biologist, Creative Conservation Alliance, Bangladesh.
  • Wildlife Biologist, Population assessment of Saltwater Crocodile project, Centre for Advanced Studies on Natural Resources and Management, Bangladesh.
  • Consultant (Ecology), IUCN Bangladesh Country Office.
  • Research Assistant, Radio telemetry study on Burmese python, Centre for Advanced Studies on Natural Resources and Management, Bangladesh.

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