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Habitat complexity and primate movements: linking remote sensing metrics to behaviour in a critically endangered species

A silhouette of a crested macaque against a golden-orange sky at sunset. The macaque’s distinctive crest of hair is clearly visible, and its eye catches a glint of light. In the top left corner, there is an inset map of Tangkoko Nature Reserve in North Sulawesi, Indonesia, showing forested areas and the coastline. The map highlights the location of Mount Tangkoko and survey plots within the reserve.
Project Description

Over 60% of primate species are currently threatened with extinction, with habitat loss and degradation among the principal drivers of this crisis (Estrada et al., 2017). Concurrently, primates are becoming increasingly vulnerable to extreme climatic events, including droughts and cyclones, which exacerbate ecological pressures (Zhang et al., 2019). However, fine-scale, long-term data on the structure and dynamics of primate habitats remains scarce.
The objective of this PhD programme is to apply remote sensing methodologies to enhance our understanding of the spatio-temporal characteristics of primate habitats. The present project will focus on the Tangkoko Nature Reserve, North Sulawesi, a region that is increasingly threatened by drought.
The project is built upon the internationally recognised Macaca Nigra Project (Duboscq and Micheletta, 2023), a long-term primatology programme operating in Tangkoko for a period exceeding 15 years. Tangkoko, a habitat for the critically endangered crested macaque, offers a prime opportunity to examine how rapid ecological changes influence primate behaviour. The project is an extension of recent research in the area (Joly et al., 2023), with the aim of integrating remote sensing with behavioural ecology.
The PhD candidate will utilise satellite imagery, geospatial analysis and mathematical modelling to achieve the following objectives:
1- Map vegetation structure and disturbance gradients across the reserve;
2- Extract relevant ecological metrics (e.g. canopy height, forest cover, vegetation greenness) for the monitoring of seasonal and interannual dynamics;
3- Investigate the movements of crested macaques and to what extent these are shaped by habitat characteristics.
 

Research themes
Project Specific Training

The student will receive one-to-one training from the supervisory team in remote sensing, GIS, and geospatial workflows, alongside instruction in mathematical modelling and statistical analysis using R and/or Python. They will be trained in primate behavioural ecology, integrating habitat metrics with primate behaviour. If visiting Tangkoko, the student will receive one-to-one guidance in field validation of vegetation data, ecological monitoring, and behavioural observations, supported by the Macaca Nigra Project field team. Training will be tailored to the student’s background, ensuring they acquire advanced technical expertise, interdisciplinary research skills, and a strong foundation in open and reproducible science.
 

Potential Career Trajectory

This PhD project will equip the student with a strong portfolio of transferable skills in remote sensing, geospatial analysis, ecological modelling, and data science, alongside training in open science practices, including reproducible workflows, transparent data management, and database sharing. These skills are highly valued across academic and non-academic sectors.
Within academia, the project provides a clear pathway into careers in primate behavioural ecology, conservation biology, environmental science, and ecological informatics. The student will be well positioned for postdoctoral research and lectureships, particularly in fields integrating animal behaviour, ecology, and environmental change.
Beyond academia, expertise in GIS, remote sensing, and open science methods is increasingly sought after by government agencies, conservation NGOs, environmental consultancies, and international organisations addressing biodiversity loss. Skills in open, reproducible science also align with growing requirements for transparency and accountability across research, policy, and industry sectors.

Project supervisor/s
Marine Joly
School of Psychology, Sport and Health Sciences
University of Portsmouth
marine.joly@port.ac.uk
Harold Lovell
ELS
University of Portsmouth
harold.lovell@port.ac.uk