Ecological complexity and the biosphere: the next 30 years

Author:

Solé Ricard123ORCID,Levin Simon34

Affiliation:

1. ICREA-Complex Systems Lab, CSIC Universitat Pompeu Fabra, Dr Aiguader 80, Barcelona 08003, Spain

2. CSIC-UPF, Institut de Biologia Evolutiva, Pg Maritim de la Barceloneta 37, Barcelona 08003, Spain

3. Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA

4. Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA

Abstract

Global warming, habitat loss and overexploitation of limited resources are leading to alarming biodiversity declines. Ecosystems are complex adaptive systems that display multiple alternative states and can shift from one to another in abrupt ways. Some of these tipping points have been identified and predicted by mathematical and computational models. Moreover, multiple scales are involved and potential mitigation or intervention scenarios are tied to particular levels of complexity, from cells to human–environment coupled systems. In dealing with a biosphere where humans are part of a complex, endangered ecological network, novel theoretical and engineering approaches need to be considered. At the centre of most research efforts is biodiversity, which is essential to maintain community resilience and ecosystem services. What can be done to mitigate, counterbalance or prevent tipping points? Using a 30-year window, we explore recent approaches to sense, preserve and restore ecosystem resilience as well as a number of proposed interventions (from afforestation to bioengineering) directed to mitigate or reverse ecosystem collapse. The year 2050 is taken as a representative future horizon that combines a time scale where deep ecological changes will occur and proposed solutions might be effective. This article is part of the theme issue ‘Ecological complexity and the biosphere: the next 30 years’.

Funder

Agència de Gestió d'Ajuts Universitaris i de Recerca

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

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