Changing the climate risk trajectory for coral reefs

Abstract

Coral reefs are extremely vulnerable to climate change and their recent degradation will continue unless we can instigate strong global climate action with effective regional interventions. Many types of intervention have been proposed and some aspects of their deployment are now being tested. However, their long-term efficacy under climate change can only be evaluated using complex biophysical models applied over a range of plausible socio-economic pathways. The associated uncertainties in climate trajectories, ecological responses, and the mitigating effects of interventions, necessitate the use of a risk-based approach to evaluating model results. I show that ensemble modeling can be used to develop rigorous risk assessments suitable for comparing intervention strategies. A major strength of this approach is that all the key elements required for risk assessment (exposure, sensitivity, adaptive capacity, and impacts) can be generated by the model in a dynamically consistent form. This is a major advance on semi-quantitative climate change vulnerability risk assessments that estimate these quantities independently and then combine them under additional assumptions. Applying ensemble modeling risk assessment to the Great Barrier Reef (GBR) suggests that regional intervention strategies, such as solar radiation management (SRM) and control of coral predators, can slow the increase in risk and potentially avoid extreme risks predicted for the second half of the century. Model results further suggest that deployments focused within the northern and central GBR will be most effective due to underlying patterns of reef connectivity.

Control efforts of crown‐of‐thorns starfish outbreaks to limit future coral decline across the Great Barrier Reef

“…ReefMod‐GBR and CoCoNet are ecosystem models that simulate the dynamics of different coral morphologies and CoTS populations under temporally and spatially realistic regimes of environmental pressures (i.e., cyclones, heat stress, water quality) across 3806 reefs encompassing the GBR ecosystem (Appendix S1: Table S1). The models have been tested against empirical coral cover and CoTS abundance data (the latter only in CoCoNet, details in Appendix S1: Table S1), providing an ideal platform for the exploration of future management interventions (Condie, 2022; Condie et al, 2021; Fletcher et al, 2021; Mason et al, 2020). The two models were used to project coral‐CoTS dynamics across the GBR in the next 30 years (2020–2050), assuming strong mitigation of carbon emissions (Representative Concentration Pathway scenario RCP2.6, Van Vuuren et al, 2011).…”