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A pilot study of methodology for the development of farmland habitat reports for sustainability assessments
Finn, John Moran, P.
Finn, John
Moran, P.
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2020-11-21
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Finn JA, Moran P. A pilot study of methodology for the development of farmland habitat reports for sustainability assessments. Irish Journal of Agricultural and Food Research 2020;59(1):56-69; doi http://dx.doi.org/10.15212/ijafr-2020-0103
Abstract
The inclusion of farm maps of habitat features is becoming an urgent requirement for assessments of farm-scale
sustainability and for compliance or benchmarking with national and international sustainability certification and
accreditation schemes. Traditional methods of habitat assessment rely strongly on field-based surveys, which
are logistically demanding and relatively costly. We describe and investigate a process that relies on information
technology to develop a scalable method that can be applied across multiple farms to reduce the significant
logistical challenges and financial costs of traditional habitat surveys. A key impediment to the routine development
of farm habitat maps is the lack of information on the type of habitats that occur on a land parcel. Within a pilot
project comprising 187 farms, we developed and implemented a process for creating farm habitat reports and
investigate the accuracy of visual interpretation of satellite imagery by an ecologist aiming to identify habitat types.
We generated customised farm reports that included a colour-coded farm habitat map and habitat information (type,
area, relative wildlife importance). Visual assessment of satellite imagery achieved an overall accuracy of 96% in
its ability to discriminate between land parcels with habitats categorised by this study as being of either high or
low nature conservation value. Assessment of satellite imagery achieved an overall accuracy of 90% in its ability
to discriminate among Fossitt level II habitat classes, and an overall accuracy of 81% when using individual habitat
classes (Fossitt level III). There was, however, considerable variation in the accuracy associated with individual
habitat classes. We conclude that this methodology based on satellite imagery is sufficiently accurate to be used
for the incorporation of farmland habitats into farm-scale sustainability assurance, but should, at most, use Fossitt
level II habitat classes. We discuss future challenges and opportunities for the development of farm habitat maps
and plans for their use in sustainability certification schemes.