A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Reliability of Local Scale Human Pressure Modeling at the Seafloor of the Baltic Sea




Julkaisun tekijät: Matti Sahla, Risto Kalliola
Kustantaja: Taylor & Francis
Julkaisuvuosi: 2018
Journal: Coastal Management
Volyymi: 46
Julkaisunumero: 1
Sivujen määrä: 18
eISSN: 1521-0421

Tiivistelmä

Efforts to understand anthropogenic stress in marine environments have
introduced methods of cumulative human pressure modeling in the
broad-scale mapping of large sea areas. This paper examines the
usability of such modeling in the shallow seafloor and complex shoreline
conditions of the Archipelago Sea in the northern Baltic Sea. We
employed public spatial data sources to describe the spatial patterns of
24 different human pressures with their normalized values in a 20 m ×
20 m pixel size. Public data were also used to classify the seafloor
into six different environmental types. The model output was assessed
against environmental data from regular seafloor monitoring. Visual
examination shows general agreement between the cumulative human
pressure model and the health of the benthic fauna, seabed oxygen and,
to a degree, also the tributyltin. However, although none of these field
parameters show high statistical correlation with the cumulative
pressure status, multiple parameters assessed simultaneously could
provide a sufficient reference. Local-scale disagreements between the
cumulative model and the field parameters particularly occur near the
largest harbor in the region where regular dredging is practiced. Model
sensitivity to different input variables was further tested by comparing
36 dissimilar variants. The comparisons reveal a general stability
across the inclusion, exclusion, or modification of such spatially
restricted human pressure data, which only induced local-scale details.
High instabilities occurred when the tested input data had a large
spatial coverage. As the cumulative human impact model reduces several
human pressures into one index, it should be considered as a broad scale
descriptor of the likely overall health status of the sea. When
implemented with accurate local-scale data it can help coastal and
marine spatial planning but it should not be considered as a predictive
depiction of any particular environmental characteristic. The cumulative
pressure map is particularly powerful in providing unforeseen insights
into the distributions of overall anthropogenic influences within the
study region, and through these it can also contribute to environmental
policies.


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Last updated on 2019-21-08 at 22:59