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Are human-induced stressors on our oceans interacting in more complex ways than we first thought?

A special guest, blog post by PhD candidate Jackson Stockbridge.

As undergraduate students and keen documentary viewers, we are often shown maps and figures which paint a grim picture of our impact on the ocean. Between overfishing, pollution and climate change, humans seem to be turning even the most pristine oceans into a warm, acidic, plastic soup. However, there is a question that we would like to see asked more, what are these maps and figures based on? How were these maps created? The answer, is spatial models.

When I slowly started to delve deeper into the world of statistical models, I came across a quote by British statistician, George Box, which states, “all models are wrong, but some are useful”. This quote begs a question,����Ƿ���wrong are the models which create these human impact maps? Are they overestimating our impact and causing worldwide panic? Or are they underestimating our impact, leading to the neglect of an ecosystem which desperately needs more help. Here, rather than ask����Ƿ�,��we address one of the reasons���ɳ����these models may be inaccurate.

[caption id="attachment_15163" align="alignnone" width="265"] The beautiful south Australian coast line where many endemic seagrass species are subjected to multiple stressors. Photo by Sophie Dolling[/caption]

The combined impact of multiple, concurrent stressors on a location is known as the cumulative impact, and the maps which depict our cumulative impact on the oceans are often based on additive models. What this means, is that the impact caused by one human-induced stressor can be simply summed to that of a second stressor, and a third and so on, to calculate the cumulative impact. However, non-additive stressor interactions should also be considered. Synergies occur when one stressor exacerbates the impact of another, whereas an antagonism can occur if one stressor mitigates another. Cumulative impact models often do not include these non-additive interactions, and this is likely to produce inaccurate results. But how inaccurate?

[caption id="attachment_15160" align="alignnone" width="300"] How do stressors interact and combine to impact seagrasses?[/caption]

In our , we have conducted a meta-analysis of studies that looked at the impact of multiple stressors on seagrass and were able to classify whether the multiple stressors had simple additive effects or whether they interacted in a synergistic or antagonistic way. Our main aim was to find out just how common non-additive interactions between stressors were.

[caption id="attachment_15161" align="alignnone" width="300"] Two dolphins came to check on our progress during seagrass surveys[/caption]

The bad news? Non-additive interactions are common in seagrass ecosystems. Additive interactions are still the��most��common (they were found in 57 % of the studies we assessed); but there are many synergies and antagonisms which will cause inaccuracies in cumulative impact models that assume all stressors are additive. This should ring alarm bells, since not only are we underestimating cumulative impact when synergies are occurring, but we may also be cause unintended damage by removing stressors that actually mitigate others. We should be focussing on finding out how stressors are interacting in specific regions so that we can ensure we are removing the stressors which are causing the most damage. And the good news? Well, we are pushing for more marine fieldwork, which means more chance of working with and helping these little folks.

We hope that the results of this study will lead to more accurate cumulative impact maps so we can more accurately predict how we are impacting the oceans.

Original post on .