Canary, Keystone & Weedy species indicators

Study identifies key species which act as warning signs of ecosystem collapse

The success or failure of certain species can be used to predict the future health of an entire ecosystem, research says

James Dyke, lecturer in sustainability science at the University of Southampton

Friday 19 August 2016

The Earth’s biodiversity is under attack. We would need to travel back over 65 million years to find rates of species loss as high as we are witnessing today.

Conservation often focuses on the big, enigmatic animals – tigers, polar bears, whales. There are many reasons to want to save these species from extinction. But what about the vast majority of life that we barely notice? The bugs and grubs that can appear or vanish from ecosystems without any apparent impact?

Biodiversity increases resilience: more species means each individual species is better able to withstand impacts. Think of decreasing biodiversity as popping out rivets from an aircraft. A few missing rivets here or there will not cause too much harm. But continuing to remove them threatens a collapse in ecosystem functioning. Forests give way to desert. Coral reefs bleach and then die.

New research that I have been involved in suggests that there biodiversity has a value that has been overlooked, but could be vitally important if we are to manage our impacts on ecosystems. Our study, published in the journal Ecology, shows that crucial information about the overall health or resilience of an ecosystem may be lurking in data about supposedly inconsequential species. In fact, the presence or absence of some of the rarest species may be giving us important clues as to how near an ecosystem is to a potential collapse.

Such rare species we call ecosystem canaries. Like canaries that coal miners used to check for poisonous gasses deep underground, ecosystem canaries are often the first species to disappear from a stressed ecosystem. Their vanishing can be linked to changes in the functioning of ecosystems, which can serve as a warning that a collapse is approaching.

Our study used data collected from lakes in China that showed changes in the abundance of species from algae (diatom) and aquatic midges (chironomid) communities as they compete for resources under environmental pressures. From this data it was possible to identify three types of organism: slowly-replicating but strongly competitive ‘keystone’ species; weakly-competitive but fast-replicating ‘weedy’ species; and slowly-replicating and weakly-competitive ‘canary’ species.

Runoff of fertiliser from surrounding fields has a major environmental impact on these lake ecosystems. As the situation worsens the canary species is the first to suffer.

With continuing degradation affecting all species, this leads to the eventual collapse of the keystone species as they are replaced by the weedy species. The loss of keystones tips the ecosystem into a critical transition – the point at which a system shifts into an alternate state which in lakes is dominated by smothering algae and absence of many plant and animal species. Moving a lake back to a clear water, high biodiversity state can be extremely difficult. Better to avoid the collapse in the first place.

Waiting to observe changes in the keystone species would not allow any intervention because the system would already be spiraling towards collapse. By searching for changes in the structure of populations that includes the ratio of keystone, weedy and canary species, we were able to detect a clear signal of an impending collapse many years, sometimes decades before the actual event. Time enough to put in place changes to farming and other practices.

The ecological theory underpinning this approach should apply to many other aquatic and terrestrial ecosystems. Given the extent and rapidity of human impacts there should not be any shortage of ecosystems to apply our findings to.



Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s