Qualifications & Memberships
Research interest is applied stream ecology with emphasis on the impacts of human land-use activities (e.g. mining, urbanisation, agriculture, forestry and hydro-electric power development) and forest fragmentation. Specific interests are: the effects of long-term land use activities on stream ecosystems, with particular emphasis on benthic diversity and impacts on regionally endemic species; predicting anthropogenic impacts on river continuums; the application of stream ecology in biomonitoring and the development of State of the Environment programs; taxonomy and ecology of aquatic invertebrates; stream restoration ecology; and environmental education.
- Feio MJ., Hughes RM., Callisto M., Nichols SJ., Odume ON., Quintella BR., Kuemmerlen M., Aguiar FC., Almeida SFP. and Alonso-Eguíalis P. (2021) The biological assessment and rehabilitation of theworld’s rivers: An overview. Water (Switzerland) 13(3) http://dx.doi.org/10.3390/w13030371.
- Bray JP., Kilroy C., Gerbeaux P., Burdon FJ. and Harding JS. (2020) Ecological processes mediate the effects of the invasive bloom-forming diatom Didymosphenia geminata on stream algal and invertebrate assemblages. Hydrobiologia 847(1): 177-190. http://dx.doi.org/10.1007/s10750-019-04080-5.
- Burdon FJ., McIntosh AR. and Harding JS. (2020) Mechanisms of trophic niche compression: Evidence from landscape disturbance. Journal of Animal Ecology 89(3): 730-744. http://dx.doi.org/10.1111/1365-2656.13142.
- Collins KE., Febria CM., Devlin HS., Hogsden KL., Warburton HJ., Goeller BC., McIntosh AR. and Harding JS. (2020) Trialling tools using hand-weeding, weed mat and artificial shading to control nuisance macrophyte growth at multiple scales in small agricultural waterways. New Zealand Journal of Marine and Freshwater Research 54(3): 512-526. http://dx.doi.org/10.1080/00288330.2020.1722185.
- de la Higuera I., Kasun GW., Torrance EL., Pratt AA., Maluenda A., Colombet J., Bisseux M., Ravet V., Dayaram A. and Stainton D. (2020) Unveiling crucivirus diversity by mining metagenomic data. mBio 11(5): 1-17. http://dx.doi.org/10.1128/mBio.01410-20.