About

We will examine and quantify the ecosystem health, climate benefits and challenges of different approaches to nature recovery, by directly targeted data collection, synthesis of data collected by partners and assimilation of the wider literature and evidence base.

Our approaches

Our first approach will be experimental, because there is a need for well-designed long-term studies with consistent baselines and monitoring and evaluation of nature recovery pathways. The 10-year funding for the Centre uniquely enables long-term ecological, social and financial experiments to be initiated, monitored and rigorously evaluated for their effectiveness in delivering successful outcomes.

We will provide scientific support for a range of studies in our Case Study landscapes, working with local partners on their lands. Most locally, we will establish a flagship set of robustly designed long-term nature recovery experiments on University of Oxford-owned lands. Experiments will include different strategies for biodiversity-supportive agriculture, for assisted and natural regeneration of forests and other ecosystems, and the effects of animal-mediated rewilding.

Our second approach will harness cutting-edge approaches in AI to develop innovative methods for the compilation and continuous updating of a global open-access evidence base of the effectiveness and benefits of nature recovery strategies.

A key challenge is the rapid rate of increase of data and evidence: a huge and rapidly growing literature is scattered across disciplines in the physical, natural, and social sciences in thousands of publications and is thus not easily accessible to decision-makers. To address this challenge, we will utilise state-of-the art machine learning/natural language processing technologies to expedite and deepen our learning from systematic reviews of existing literature on nature recovery.

We will examine how the key findings of our robust studies can be integrated within development plans at local, national and global scales and contribute towards goals to mitigate and adapt to climate change. Read more about our use of novel technologies now.

 

Projects

Theme outputs

    Maria B. Millsa,b , Yadvinder Malhic , Robert M. Ewersb , Lip Khoon Khoc,d, Yit Arn Tehe , Sabine Bothf , David F. R. P. Burslemg , Noreen Majalaph , Reuben Nilush , Walter Huaraca Huascoc,d , Rudi Cruzi,j , Milenka M. Pillcoj , Edgar C. Turnerk , Glen Reynoldsl , and Terhi Riuttab,c,d (2022). Tropical forests post-logging are a persistent net carbon source to the atmosphere. PNAS.

    Carbon sources and sinks in recovering logged forests

    Are recovering logged forests a carbon sink due to increased tree growth rates or a carbon source due to carbon losses from soil organic matter and deadwood? Our research shows that sources outweigh sinks for at least the first decade after logging.

    Publications
    LCNR associated
    • Ecology

    Yadvinder Malhi, Terhi Riutta, Oliver R. Wearn, Nicolas J. Deere, Simon L. Mitchell, Henry Bernard, Noreen Majalap, Reuben Nilus, Zoe G. Davies, Robert M. Ewers & Matthew J. Struebig (2021). Logged tropical forests have amplified and diverse ecosystem energetics. Nature.

    Metabolic approach to forest ecosystem health

    Do metabolic ecology approaches offer a useful new approach to assessing ecosystem health and nature recovery? Our research uses areas of old growth and selectively logged forest to assess this approach.

    Publications
    LCNR associated
    • Ecology

    Ryan Veryard, Jinhui Wu, Michael J. O’Brien, Rosila Anthony, Sabine Both6, David F.R.P. Burslem, Bin Chen, Elena Fernandez-Miranda Cagigal, H. Charles J. Godfray, Elia Godoong, Shunlin Liang, Philippe Saner, Bernhard Schmid, Yap Sau Wai, Jun Xie, Glen Reynolds, and Andy Hector (2023). Positive effects of tree diversity on tropical forest restoration in a field-scale experiment. https://www.science.org/doi/10.1126/sciadv.adf0938.

    Active restoration of selectively logged forest

    The dipterocarp trees that dominate the lowland forests of Southeast Asia have traits that mean they may be slow to naturally recover from selective-logging and other disturbances. Can active restoration techniques accelerate forest recovery? Our research uses the experimental treatments of Sabah Biodiversity Experiment to assess the effectiveness of replanting with different species and of ‘climber cutting’ – the removal of climbing liana species.

    Publications
    LCNR associated
    • Ecology
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