# Scalability of Water Property Measurements in Space and Time on a Brackish Archipelago Coast
## 5 Conclusions  
Our study confirms that the variation in archipelago water properties of temperature, salinity, pH and chlorophyll-a concentration is significant along the temporal and vertical (depth) gradients. All water properties except temperature vary significantly horizontally at the regional scale, but temperature conditions are more uniform. We also conclude that the seasonal developments and vertical profiles of these water properties are significantly different among nearby sites no more than 10 km apart in the Finnish Archipelago Sea, and that local-scale (\(10^{2}\) m) variation is not an issue in the sampling of water properties. These findings have implications for designing environmental monitoring campaigns or assessing the scalability of their results, when managing global change in marine archipelago environments. Conceptualisation, T.N., H.T. and T.S. ; methodology, T.N. ; validation, T.N. ; formal analysis, T.N., investigation, H.T. and T.S. ; data curation, T.N. and T.S. ; writing--original draft preparation, T.N. and H.T. ; writing--review and editing, T.N., H.T. and T.S. ; visualisation, T.N. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Not applicable. The data presented in this study are available on request from the corresponding author. The data are not publicly available at the time of the submission of this paper due to ongoing further analyses. The authors declare no conflict of interest. * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] [PERSON] Ecosystem vulnerability review: Proposal of an interdisciplinary ecosystem assessment approach. _Environ. Manag._**2018**, _61_, 904-915. [CrossRef]
* [PERSON] et al. (2019) [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] A review of coastal management approaches to support the integration of ecological and human community planning for climate change. _J. Coast. Conserv._**2019**, _23_, 1-18. [CrossRef]
* [PERSON] et al. (2010) [PERSON]; [PERSON]; [PERSON] [PERSON] Geographical persistence of surface-layer water properties in the Archipelago Sea, SW Finland. _Femnia_**2010**, _188_, 179-196. * [PERSON] et al. (2013) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Annual spatio-temporal variation of the euphotic depth in the SW-Finnish archipelago, Baltic Sea. _Oceanologia_**2013**, _55_, 359-373. [CrossRef]
* [PERSON] and [PERSON] (2004) [PERSON]; [PERSON] Patterns and dynamics of coastal waters in multi-temporal satellite images: Support to water quality monitoring in the Archipelago Sea, Finland. _Estur. Coast. Shelf Sci._**2004**, _60_, 165-177. [CrossRef]
* [PERSON] et al. (2013) [PERSON]; [PERSON]; [PERSON] Annual and long-term water transparency variations and the consequent seafloor illumination dynamics in the Baltic Sea archipelago coast of SW Finland. _Boreal Environ. Res._**2013**, _18_, 446-458. * [PERSON] et al. (2010) [PERSON]; [PERSON] [PERSON]; [PERSON] Surface layer salinity gradients and flow patterns in the archipelago coast of SW Finland, northern Baltic Sea. _Mar. Environ. Res._**2010**, _69_, 216-226. [CrossRef] [PubMed]
* [PERSON] et al. (2010) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Identification of coastal water quality by statistical analysis methods in Daya Bay, South China Sea. _Mar. Pollutut. Bull._**2010**, _60_, 852-860. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A spatially weighted neural network based water quality assessment method for large-scale coastal areas. _Environ. Sci. Technol._**2021**, _55_, 2553-2563. [CrossRef]
* [PERSON] and [PERSON] (2015) [PERSON] [PERSON]; [PERSON] Application of inverse path distance weighting for high-density spatial mapping of coastal water quality patterns. _Int. J. Geogr. Inf. Sci._**2015**, _29_, 1240-1250. [CrossRef]
* [PERSON] (2003) [PERSON] Water quality in the Red Sea coastal waters (Egypt): Analysis of spatial and temporal variability. _Chem. Ecol._**2003**, _19_, 67-77.