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Google Images 'as good as fieldwork' for studying animal colour
07 June 2016 | Story Jessica Aldred
Studying photographs of animals posted online by the general public has proven to be as valuable as traditional fieldwork in research on the locations of species that have evolved with different colours.
Colour polymorphism – the occurrence of two or more colour types in the population of a species – has long fascinated biologists. These different colour types often vary geographically, providing a useful way of studying how different colour morphs evolve.
But collecting this data using traditional fieldwork is time-consuming and expensive, so researchers from South Africa looked into whether they could use the thousands of animal images posted on the internet instead.
To evaluate whether photographs could accurately substitute for fieldwork, they used Google Images to find photographs of four species with different colours: black bears in western North America, barn owls around the world, black sparrowhawks in South Africa, and hooded or carrion crows in Europe.
Based on more than 4 800 images of the four species, the study proved that their method could produce results as accurate as fieldwork, but in a more cost-effective and rapid way.
“We selected these species because accurate scientific data already exists on the distribution of their different colour morphs, allowing us to compare and assess the accuracy of our new method based on Google Images,” said Dr Arjun Amar of the University of Cape Town, one of the authors of the report, which is published in the journal Methods in Ecology and Evolution.
The colour of black bears ranges from cream to black, while barn owls vary from dark reddish-brown to pure white, and black sparrowhawks can be dark or light. Carrion and hooded crows were once thought to be the same species, and range from grey to black.
The team collected information on the visible traits and locations of each species, using photographs found online over a three-month period in 2015. But manually handling and scoring so many images was “unfeasibly slow” and often resulted in data duplication, so the team developed a custom web application called Morphic to collect the data more efficiently.
Gabriella Leighton, also of the University of Cape Town and lead author of the paper, said: “Very pleasingly, the method worked: we were able to create a map of the different colour varieties – and most importantly, the pattern of this map matched the known pattern of the colour varieties very well. And whereas our data took only days or weeks to collate from my office, these other data had often taken years of labour-intensive fieldwork or visits to museums worldwide.”
The internet has been used to help data collection in economic, political and other fields; but so far, “remains an underexploited resource for mining data” about ecology, the report said. This technique could open up new possibilities, in areas from migration and diet to birds’ moulting patterns and the age structures of animal populations in different areas.
Amar is already using it to study the colour patterns of other species, including the common buzzard and tawny owl in Europe, Swainson’s hawk in North America, and the augur buzzard across East Africa.
However, the method can only be used for organisms for which many photographs exist online, and will perform best when species are “conspicuous, fairly common, and of interest to photographers”. If more photographers geotag their images with locations and dates, their pictures could be even more valuable for ecology.
“Although not part of this study, in future this approach might allow us to explore how phenotypes [colour morphs] change over time. We know that phenotypes are often linked to specific weather conditions – for example, more dark morphs occur in wetter areas. Thus, with climate change occurring, there are many predictions suggesting that the occurrence of the different colour morphs might also change, and our new technique might allow this to be investigated,” said Amar.