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  • Home
  • Research
    • Climate
    • Ecosystems and Biodiversity
    • Energy
    • Environment and Health
    • Food Systems Transformation
    • Global Finance and Economy
    • Infrastructure Systems
    • Land, Society and Governance
    • Multidisciplinary research
    • Leverhulme Centre for Nature Recovery
    • TABLE
    • All ECI research projects
  • About
    • About us
    • Contact us
    • Job opportunities
  • Study
    • MSc in Environmental Change and Policy
    • Doctoral studies
    • IFSTAL – food systems training
  • People
    • Academic, research & support staff
    • Honorary Research Associates and Affiliates
  • News & Events
    • News and Blogs
    • Events
  • Publications
    • Publications
    • Reports and Policy Briefs

Publications

Turnbull, J. and Barua, M. (2022) “Living waste, living on waste: a bioeconomy of urban cows in Delhi”, Transactions of the Institute of British Geographers, 48(3), pp. 474–490.
Fuldauer, L. et al. (2022) “Author Correction: Targeting climate adaptation to safeguard and advance the Sustainable Development Goals”, Nature Communications, 13(1), p. 5832.
Harwood, T. et al. (2022) “Staying connected: assessing the capacity of landscapes to retain biodiversity in a changing climate”, Landscape Ecology, 37(12), pp. 3123–3139.
Anunciação, P. et al. (2022) “Estimating the diversity of tropical anurans in fragmented landscapes with acoustic monitoring: lessons from a sampling sufficiency perspective”, Biodiversity and Conservation, 31(12), pp. 3055–3074.
Olafsson, A. et al. (2022) “Comparing landscape value patterns between participatory mapping and geolocated social media content across Europe”, Landscape and Urban Planning, 226, pp. 104511–104511.
Rosenow, J. et al. (2022) “Heating up the global heat pump market”, Nature Energy, 7(10), pp. 901–904.
Liang, J. et al. (2022) “Co-limitation towards lower latitudes shapes global forest diversity gradients”, Nature Ecology & Evolution, 6(10), pp. 1423–1437.
Smith, M. et al. (2022) “The lost opportunity from insufficient pollinators for global food supplies and human health”, The Lancet Planetary Health, 6, p. s3.
Hoy, Z. et al. (2022) “Forecasting heterogeneous municipal solid waste generation via Bayesian-optimised neural network with ensemble learning for improved generalisation”, Computers & Chemical Engineering, 166, pp. 107946–107946.
Salazar, G. et al. (2022) “Testing the influence of visual framing on engagement and pro‐environmental action”, Conservation Science and Practice, 4(10).
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