Improving the accuracy of estimations on natality and pre-weaning pup mortality of the endangered Saimaa ringed seal
Auttila, M., Koskela, J., Sipilä, T. and Tiilikainen, R. (2018). Improving the accuracy of estimations on natality and pre-weaning pup mortality of the endangered Saimaa ringed seal. 5th European Congress of Conservation Biology. doi: 10.17011/conference/eccb2018/107286
Date
2018Copyright
© the Authors, 2018
The Saimaa ringed seal (Phoca hispida saimensis) is the only endemic mammal in Finland. It inhabits fresh water Lake Saimaa, and its population size is around 370 individuals with 60-80 pups born annually. One of the most critical threats for the population is climate change. The ringed seal is dependent on sufficient ice and snow cover for a breeding habitat, and mild winters have a negative effect on pup survival. In addition, the reliability of the population estimates, which are based on annual lair censuses, suffers when there is no sufficient snow cover for subnivean lairs or when the lairs are not detectable during the census due to early melting. For improving the seal stock monitoring the underwater surveys at the seal’s lair sites were annually conducted soon after ice break up during 2014-2017. Divers were looking for placentas as a proof of born pups, and pup carcasses or other remains of dead pups. Altogether 584 lair sites were investigated by divers. The underwater surveys increased the number of born pups by 29, which is 10% of the total observed natality during the study years. In addition, 13 dead pups were found during the surveys, which is 32% of all pups observed dead before weaning during the study. The underwater surveys at the seal’s lair sites are effective method to improve the accuracy of the population estimations especially during mild winters. Reliable knowledge on natality and pre-weaning mortality of the Saimaa ringed seal is essential for the assessment of the conservation needs and effectiveness of conducted conservation acts.
References:
Auttila, M. 2015. The endangered Saimaa ringed seal in a changing climate - challenges for conservation and monitoring. PhD thesis, University of Eastern Finland, Joensuu, Finland.
Auttila, M., M. Niemi, T. Skrzypczak, M. Viljanen & M. Kunnasranta. 2014. Estimating and mitigating perinatal mortality of the endangered Saimaa ringed seal (Phoca hispida saimensis). Annales Zoologici Fennici 51:526−534.
...


Publisher
Open Science Centre, University of JyväskyläConference
ECCB2018: 5th European Congress of Conservation Biology. 12th - 15th of June 2018, Jyväskylä, Finland
Original source
https://peerageofscience.org/conference/eccb2018/107286/Metadata
Show full item recordCollections
- ECCB 2018 [712]
License
Related items
Showing items with similar title or keywords.
-
Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests
Bont, Leo Gallus; Hill, Andreas; Waser, Lars T.; Bürgi, Anton; Ginzler, Christian; Blattert, Clemens (Elsevier, 2020)Managing forests for ecosystem services and biodiversity requires accurate and spatially explicit forest inventory data. A major objective of forest management inventories is to estimate the standing timber volume for ... -
Solid phase extraction materials as a key for improving the accuracy of silver nanoparticle characterization with single-particle inductively coupled plasma mass spectrometry in natural waters through dissolved silver removal
Kinnunen, Virva; Perämäki, Siiri; Matilainen, Rose (Elsevier, 2022)The accurate characterization of silver nanoparticles (Ag NPs) in environmental samples is crucial for understanding the potential impact of these materials on the environment and human health. Single-particle inductively ... -
Network-Wide Adaptive Burst Detection Depicts Neuronal Activity with Improved Accuracy
Välkki, Inkeri A.; Lenk, Kerstin; Mikkonen, Jarno; Kapucu, Fikret E.; Hyttinen, Jari A. K. (Frontiers Research Foundation, 2017)Neuronal networks are often characterized by their spiking and bursting statistics. Previously, we introduced an adaptive burst analysis method which enhances the analysis power for neuronal networks with highly varying ... -
Improving Serendipity and Accuracy in Cross-Domain Recommender Systems
Kotkov, Denis; Wang, Shuaiqiang; Veijalainen, Jari (Springer International Publishing AG, 2017)Cross-domain recommender systems use information from source domains to improve recommendations in a target domain, where the term domain refers to a set of items that share attributes and/or user ratings. Most works ... -
Sauna bathing is associated with reduced cardiovascular mortality and improves risk prediction in men and women: a prospective cohort study
Laukkanen, Tanjaniina; Kunutsor, Setor K.; Khan, Hassan; Willeit, Peter; Zaccardi, Francesco; Laukkanen, Jari (BioMed Central, 2018)Background: Previous evidence indicates that sauna bathing is related to a reduced risk of fatal cardiovascular disease (CVD) events in men. The aim of this study was to investigate the relationship between sauna habits ...