Mapping an ecosystem service: A quantitative approach to derive fish feeding ground maps**This study was supported by Norwegian Financial Mechanism (project No. LT0047) and BONUS PREHAB.

Šiaulys, Andrius; Daunys, Darius; Bučas, Martynas; Bacevičius, Egidijus

doi:10.5697/oc.54-3.491

Cited by 18 publications

(5 citation statements)

References 29 publications

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“…(1) In our model, shelter is represented by the capacity of seabed habitats to support nursery populations. Complex hard reef-like structures and sandbanks are important habitats for these populations, as highlighted in previous works in Lithuanian EEZ (Inácio et al 2020;Šiaulys et al 2012) and other marine areas (Ellis et al, 2011;Jones et al, 2000;Lefcheck et al, 2019). In the EEZ, these habitats are mainly distributed in the northern and southern shallow areas (Figure S10).…”

Section: J O U R N a L P R E -P R O O Fsupporting

confidence: 53%

“…These areas are biodiversity hotspots or important areas that support coastal and marine ecological integrity. In Lithuania, they coincide with sandbanks and reef-like structures and play an essential role in maintaining nursery conditions (Inácio et al, 2020;Šiaulys et al, 2012). Some discrepancies may occur in areas where this ES supply is high, but there is no protection status, or the area is not biologically significantly important.…”

Section: Validationmentioning

confidence: 99%

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Mapping and assessment of future changes in the coastal and marine ecosystem services supply in Lithuania

Inácio

Karnauskaitė

Gomes

et al. 2022

Science of The Total Environment

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Section: J O U R N a L P R E -P R O O Fsupporting

confidence: 53%

Section: Validationmentioning

confidence: 99%

Mapping and assessment of future changes in the coastal and marine ecosystem services supply in Lithuania

Inácio

Karnauskaitė

Gomes

et al. 2022

Science of The Total Environment

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“…in the Muuga Bay in the Gulf of Finland (Järv et al 2011) and Limecola balthica in the Gulf of Gdansk (Karlson et al 2007). Moreover, Polychaeta and Crustacea, like Amphipoda and the isopod S. entomon, have been found in the stomachs of adult flounder caught in the Archipelago Sea in the northern Baltic and in the Lithuanian zone (Šiaulys et al 2012(Šiaulys et al , Borg et al 2014).…”

Section: )mentioning

confidence: 99%

“…Studies from coastal areas have also shown L. balthica and Mytilus sp. as important prey species for flounder (Karlson et al 2007, Järv et al 2011, while Amphipoda and S. entomon occur only rarely in its diet in shallow areas (Šiaulys et al 2012(Šiaulys et al , Borg et al 2014. To the best of our knowledge, the diet of flounder in offshore areas of the Baltic Sea have been rarely investigated.…”

Section: Current Diet Of Flounder and Codmentioning

confidence: 99%

Diet of dominant demersal fish species in the Baltic Sea: Is flounder stealing benthic food from cod?

Haase

Orio

Pawlak

et al. 2020

Mar. Ecol. Prog. Ser.

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Knowledge about ecological interactions between species is of paramount importance in ecology and ecosystem-based fisheries management. To understand species interactions, studies of feeding habits are required. In the Baltic Sea, there is good knowledge of the diet of cod, but little is known about the diet of flounder, the second most abundant demersal fish in the region. In this study, we investigated the diets of cod and flounder for the first time using stomach content data collected simultaneously in 2015-2017 over a large offshore area of the southern Baltic Sea. The diet of flounder was relatively constant between sizes and seasons and was dominated by benthos, with a high proportion in weight of the benthic isopod Saduria entomon. The diet of cod differed between seasons and showed an ontogenetic shift with a relative decrease of benthic prey and an increase of fish prey with size. Historic diet data of cod were used to explore cod diet changes over time, revealing a shift from a specialized to generalist feeding mode paralleled by a large relative decline in benthic prey, especially S. entomon. Flounder populations have increased in the past 2 decades in the study area, and therefore we hypothesized that flounder have deprived cod of important benthic resources through competition. This competition could be exacerbated by the low benthic prey productivity due to increased hypoxia, which could contribute to explaining the current poor status of the Eastern Baltic cod. The results of this study point to the importance of including flounder in multispecies end ecosystem models.

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“…However, only few SDMs techniques have been applied in the Baltic Sea, especially, modelling the distribution of benthic invertebrates (Carlström et al 2010;Gogina, Zettler 2010;Šiaulys et al 2012). The studies used different SDMs methods and no comparison of methods has been performed.…”

Section: Introductionmentioning

confidence: 99%

Species distribution modelling of benthic invertebrates in the south-eastern Baltic Sea

Šiaulys

Bučas

2012

Baltica

Self Cite

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The distribution of benthic invertebrates is one of the key parameters for the marine spatial planning and management, however traditionally the data on benthic invertebrates are based on point sampling. Recently statistical methods of predictive modelling are used to create maps of species distribution, nevertheless, no comparative analysis of different modelling methods has been yet performed in the Baltic Sea region. In this study the occurrence and biomass distribution of 23 benthic species in the southeastern Baltic Sea were modelled. A comparison of the following predictive modelling methods was performed: random forests (RF), generalized additive models (GAM), multivariate adaptive regression splines (MARS) and maximum entropy (MaxEnt). In order to assess the consistency of the methods, 100 iterations with different train/test datasets were made for each of them. Random forests achieved the highest predictive performance for both species occurrence and biomass distribution models; also it was the most consistent for different iterations. Predictive performance of GAMs and MARS followed RF, whereas MaxEnt accurately predicted occurrence only for the species with a relatively low distribution range. Keywords • Marine benthic invertebrates • Random forests • Generalized additive models • Multivariate adaptive regression splines • Maximum entropy • Lithuanian waters area • south-eastern Baltic SeaAndrius Šiaulys [andrius@corpi.ku.lt],

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Mapping an ecosystem service: A quantitative approach to derive fish feeding ground maps**This study was supported by Norwegian Financial Mechanism (project No. LT0047) and BONUS PREHAB.

Cited by 18 publications

References 29 publications

Mapping and assessment of future changes in the coastal and marine ecosystem services supply in Lithuania

Mapping and assessment of future changes in the coastal and marine ecosystem services supply in Lithuania

Diet of dominant demersal fish species in the Baltic Sea: Is flounder stealing benthic food from cod?

Species distribution modelling of benthic invertebrates in the south-eastern Baltic Sea

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