Our outputs are categorised by theme, type and whether the output has been funded and supported by the Leverhulme Centre for Nature Recovery or is an associated output produced by centre members/affiliates and is relevant to the goals of the centre but not funded by it.

Publications

Assessing the Potential of AI for Spatially Sensitive Nature-Related Financial Risks

There is growing recognition among financial institutions, financial regulators and policy makers of the importance of addressing nature-related risks and opportunities. Evaluating and assessing nature-related risks for financial institutions is challenging due to the large volume of heterogeneous data available on nature and the complexity of investment value chains and the various components’ relationship to nature. The dual problem of scaling data analytics and analysing complex systems can be addressed using Artificial Intelligence (AI). We address issues such as plugging existing data gaps with discovered data, data estimation under uncertainty, time series analysis and (near) real-time updates. This report presents potential AI solutions for models of two distinct use cases

Report
LCNR associated
  • Scale and Technology

Huanyuan Zhang-Zheng, Stephen Adu-Bredu, Akwasi Duah-Gyamfi, Sam Moore, Shalom D. Addo-Danso, Lucy Amissah, Riccardo Valentini, Gloria Djagbletey, Kelvin Anim-Adjei, John Quansah, Bernice Sarpong, Kennedy Owusu-Afriyie, Agne Gvozdevaite, Minxue Tang, Maria C. Ruiz-Jaen, Forzia Ibrahim, Cécile A. J. Girardin, Sami Rifai, Cecilia A. L. Dahlsjö, Terhi Riutta, Xiongjie Deng, Yuheng Sun, Iain Colin Prentice, Imma Oliveras Menor & Yadvinder Malhi (2024). Contrasting carbon cycle along tropical forest aridity gradients in West Africa and Amazonia. Nature Communications.

Here we present a detailed field assessment of the carbon budget of multiple forest sites in Africa, by monitoring 14 one-hectare plots along an aridity gradient in Ghana, West Africa. When compared with an equivalent aridity gradient in Amazonia, the studied West African forests generally had higher productivity and lower carbon use efficiency (CUE). The West African aridity gradient consistently shows the highest NPP, CUE, GPP, and autotrophic respiration at a medium-aridity site, Bobiri. Notably, NPP and GPP of the site are the highest yet reported anywhere for intact forests. Widely used data products substantially underestimate productivity when compared to biometric measurements in Amazonia and Africa. Our analysis suggests that the high productivity of the African forests is linked to their large GPP allocation to canopy and semi-deciduous characteristics.

Publications
LCNR supported
  • Society
  • Scale and Technology
  • Remote sensing

Jesús Aguirre-Gutiérrez, Nicola Stevens, Erika Berenguer (2023). Valuing the functionality of tropical ecosystems beyond carbon. Trends in Ecology & Evolution.

Land-based carbon sequestration projects, such as tree planting, are a prominent strategy to offset carbon emissions. However, we risk reducing natural ecosystems to one metric – carbon. Emphasis on restoring ecosystems to balance ecosystem services, biodiversity conservation, and carbon sequestration is a more appropriate strategy to protect their functioning.

Publications
LCNR supported
  • Scale and Technology
  • Remote sensing

Aguirre‐Gutiérrez, Jesús, et al. (2019). Drier tropical forests are susceptible to functional changes in response to a long‐term drought. Ecology Letters 22.5: 855-865.

Publications
LCNR associated
  • Scale and Technology
  • Remote sensing

Aguirre-Gutiérrez, Jesús, et al. (2020). Long-term droughts may drive drier tropical forests towards increased functional, taxonomic and phylogenetic homogeneity. Nature Communications 11.1: 3346.

Publications
LCNR associated
  • Scale and Technology
  • Remote sensing

Aguirre-Gutiérrez, Jesús, et al. (2021). Pantropical modelling of canopy functional traits using Sentinel-2 remote sensing data.  Remote Sensing of Environment 252: 112122.

Publications
LCNR associated
  • Scale and Technology
  • Remote sensing

Aguirre‐Gutiérrez, Jesús, et al. (2022). Functional susceptibility of tropical forests to climate change. Nature Ecology & Evolution 6.7: 878-889..

Publications
LCNR associated
  • Scale and Technology
  • Remote sensing