| Title | Can we trust our habitat maps? Assessing map sensitivity for decision-making |
| Download | Download (whole publication) |
| |
| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Lecours, V; Devillers, R; Brown, C J; Lucieer, V L; Edinger, E N |
| Source | Program and abstracts: 2017 GeoHab Conference, Dartmouth, Nova Scotia, Canada; by Todd, B J ; Brown, C J; Lacharité, M; Gazzola, V; McCormack, E; Geological Survey of Canada, Open File 8295, 2017 p. 77, https://doi.org/10.4095/305885  Open Access |
| Links | GeoHab 2017
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| Year | 2017 |
| Publisher | Natural Resources Canada |
| Meeting | 2017 GeoHab: Marine Geological and Biological Habitat Mapping; Dartmouth, NS; CA; May 1-4, 2017 |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| Related | This publication is contained in Program and abstracts: 2017
GeoHab Conference, Dartmouth, Nova Scotia, Canada |
| File format | pdf |
| Subjects | marine geology; surficial geology/geomorphology; environmental geology; geophysics; mapping techniques; oceanography; marine environments; coastal studies; conservation; marine organisms; marine
ecology; resource management; biological communities; environmental studies; ecosystems; models; geophysical surveys; acoustic surveys, marine; sonar surveys; side-scan sonar; bathymetry; seafloor topography; photography; statistical analyses;
Biology; Decision making; Methodology |
| Program | Offshore Geoscience |
| Released | 2017 09 26 |
| Abstract | Marine habitat maps are increasingly used to inform decisions in marine spatial planning. Despite their ability to efficiently communicate relevant information about habitats to decision-makers and
stakeholders, habitat maps and species distribution models (SDMs) are only simplified representations of real habitats. While the interpretation of the outcomes and the method used to generate them should always be guided by expert advice, we still
do not fully understand how the many decisions involved in map production impact the outcome. The objective of this study was to explore the sensitivity of habitat maps and SDMs to choices made when producing them.
We used a dataset of German
Bank, Canada, which includes multibeam bathymetric data, backscatter data, sea scallops (Placopecten magellanicus) presence data, and ground-truthing video data of potential habitats. To assess the impact of spatial scale, bathymetric and backscatter
data were computed at five spatial resolutions. To assess the impact of data selection, 24 terrain attributes were derived from these bathymetric data. To assess the impact of data quality, different types and levels of artefacts were artificially
introduced in the bathymetric data. Different combinations of these data were then iteratively used to generate habitat maps and SDMs. First, 644 maps of potential habitats based on biophysical characteristics of the area were produced using
unsupervised classifications. Secondly, 644 SDMs of sea scallops were generated using maximum entropy (MaxEnt). The performance of the maps and SDMs were quantified and compared, and the spatial distribution of potential habitats and predicted sea
scallop distribution were examined.
Results indicate that variations in scale, data selection and data quality can produce very different outcomes. When selecting different terrain attributes and data of different spatial resolutions, the
accuracy of habitat maps and the performance of SDMs varied, and differences up to 58% in the spatial distribution of habitats and predicted species presence were observed. Introducing artefacts also directly impacted the quality of terrain
attributes at all scales, and propagated through to the habitat maps and SDMs. However, the impacts of these artefacts on habitat maps and SDMs were very unpredictable. While introducing artefacts sometimes decreased map accuracy and SDM performance,
in other cases it artificially increased them. Differences in spatial distribution of potential habitats of up to 35% were observed. Local differences in habitat suitability for the SDMs reached as high as 75%, therefore changing from non-suitable to
suitable area, or vice-versa. Results also show that small differences in measures of map accuracy (e.g. kappa coefficient of agreement) can translate into big differences in spatial distribution of habitats.
Our study showed that it is essential
to remain critical of the outcomes of mapping methodologies and to recognize the limitations of the data and techniques used. Understanding the different trade-offs involved in the map production is essential when maps are to be used to inform
decision-making. We recommend using multiple maps and SDMs - for instance through ensemble mapping techniques - when trying to inform spatial planning efforts. This will enable the quantification of maps and SDMs variability to different factors and
account for that variability when making decisions. We should also aim to develop specific tools for assessing error and uncertainty propagation in the habitat mapping workflow. These will result in mapping products with a higher degree of confidence
and lower uncertainty. |
| Summary | (Plain Language Summary, not published)
The sixteenth annual GeoHab Conference was held this year (2017) at the Waterfront Campus of the Nova Scotia Community College in Dartmouth, Nova Scotia,
Canada. |
| GEOSCAN ID | 305885 |
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