Urban ecosystems – tapping the human resource

In order to take an interest in environmental issues, people need an idea of what ‘the environment’ is, and to have access to something worth caring about. In the UK, around 90% of us already live in towns or cities, and by 2030, around 60% of the world’s population will live in urban areas. But without a vocal set of ‘owners’, public land such as parks and allotments can easily be lost. The majority of the UK's ‘natural’ areas have historically been created, managed or modified by humans. and we should appreciate urban habitats just as much as pristine reserves for the ecosystem services they provide. In particular, scruffy and overlooked brownfield sites can be amazing refugia for insect and plant species which can no longer persist in a countryside dominated by industrialised agriculture.

The application of remote sensing to the management of urban wildlife habitats

The project set out with two main aims. The first aim was to determine whether large scale multispectral aerial photography could be used to successfully survey and monitor urban wildlife habitats. The second objective was to investigate whether this data source could be used to predict population numbers of selected species expected to be found in a particular habitat type. Panchromatic, colour and colour infra-red, 1:2500 scale aerial photographs, taken in 1981 and 1984, were used. For the orderly extraction of information from the imagery, an urban wildlife habitat classification was devised. This was based on classifications already in use in urban environments by the Nature Conservancy Council. Pilot tests identified that the colour infra-red imagery provided the most accurate results about urban wildlife habitats in the study area of the Blackbrook Valley, Dudley. Both the 1981 and 1984 colour infra-red photographs were analysed and information was obtained about the type, extent and distribution of habitats. In order to investigate whether large scale aerial photographs could be used to predict likely animal population numbers in urban environments, it was decided to limit the investigation to the possible prediction of bird population numbers in Saltwells Local Nature Reserve. A good deal of research has already been completed into the development of models to predict breeding bird population numbers in woodland habitats. These models were analysed to determine whether they could be used successfully with data extracted from the aerial photographs. The projects concluded that 1:2500 scale colour infra-red photographs can provide very useful and very detailed information about the wildlife habitats in an urban area. Such imagery can also provide habitat area data to be used with population predictive models of woodland breeding birds. Using the aerial photographs, further investigations into the relationship between area of habitat and the breeding of individual bird species were inconclusive and need further research.