8 Works

Genomics of humic adaptation in Eurasian perch (Perca fluviatilis): SNP genotypes of 32 perch individuals, supplementary figures and tables

Mikhail Ozerov, Kristina Noreikiene, Siim Kahar, Magnus Huss, Ari Huusko, Toomas Kõiv, Margot Sepp, María López, Anna Gårdmark, Riho Gross & Anti Vasemägi
Extreme environments are inhospitable to the majority of species, but some organisms are able to survive in such hostile conditions due to evolutionary adaptations. For example, modern bony fishes have colonized various aquatic environments, including perpetually dark, hypoxic, hypersaline and toxic habitats. Eurasian perch (Perca fluviatilis) is among the few fish species of northern latitudes that is able to live in very acidic humic lakes. Such lakes represent almost “nocturnal” environments; they contain high levels...

Data from: Host developmental stage effects on parasite resistance and tolerance

Ines Klemme, Paul Vincent Debes, Craig Robert Primmer, Laura Härkönen, Jaakko Erkinaro, Pekka Hyvärinen & Anssi Karvonen
Hosts can defend themselves against parasites by either preventing or limiting infections (resistance), or limiting parasite-induced damage (tolerance). However, it remains underexplored how these defense types vary over host development with shifting patterns of resource allocation priorities. Here, we studied the role of developmental stage on resistance and tolerance in Atlantic salmon (Salmo salar). This anadromous fish has distinct life stages related to living in fresh and sea water. We experimentally exposed one-year old salmon,...

Strategies to Mitigate Enteric Methane Emissions by Ruminants

C. Arndt, A.N. Hristov, W.J. Price, S.C. McClelland, A.M. Pelaez, A.R. Bayat, L.A. Crompton, J. Dijkstra, M.A. Eugène, D. Enahoro, E. Kebreab, M. Kreuzer, M. McGee, C. Martin, C.J. Newbold, C.K. Reynolds, A. Schwarm, K.J. Shingfield, J.B. Veneman, D.R. Yáñez-Ruiz & Z. Yu
To meet the 1.5°C target, methane (CH4) from ruminants must be reduced by 11 to 30% of the 2010 level by 2030 and by 24 to 47% by 2050. A meta-analysis identified strategies to decrease product-based [PB; CH4 per unit meat or milk (CH4I)] and absolute (ABS) enteric CH4 emissions while maintaining or increasing animal productivity (AP; weight gain and milk yield). Next the potential of different adoption rates of one PB and/or ABS strategies...

Dataset for paper titled: Conceptual preferences can be transmitted via selective social information use between competing wild bird species

Olli Loukola, Sami Kivelä, Jere Tolvanen & Jukka Forsman
Concept learning is considered a high-level adaptive ability. Thus far, it has been studied in laboratory via asocial trial and error learning. Yet, social information use is common among animals but it remains unknown whether concept learning by observing others occurs. We tested whether pied flycatchers (Ficedula hypoleuca) form conceptual relationships from the apparent choices of nest-site characteristics (geometric symbol attached to the nest box) of great tits (Parus major). Each wild flycatcher female (n...

Does prey scarcity increase the risk of wolf attacks on domestic dogs?

Ilpo YJ Kojola
Gray wolf (Canis lupus) predation on domestic dogs (Canis familiaris) is a considerable wolf-human conflict issue in several regions of Europe and North America but has not been well documented in the scientific literature. Livestock depredations by wolves may be related to the abundance of wild prey. Regardless of the presumed motivations of wolves for attacking dogs (likely due to interference competition and predation), the abundance of wild prey populations may also influence the risk...

Data from: Landscape context and substrate characteristics shape fungal communities of dead spruce in urban and semi-natural forests

Aku Korhonen, Otto Miettinen, Johan Kotze & Leena Hamberg
Data from: Korhonen, A., Miettinen, O., Kotze, D.J., & Hamberg, L. (2022). Landscape context and substrate characteristics shape fungal communities of dead spruce in urban and semi-natural forests. Environmental Microbiology. DOI: 10.1111/1462-2920.15903 This dataset contains occurrence data of 475 fungal ITS2 sequence clusters (OTUs) across 360 sequenced samples originating from dead wood of Norway spruce (Picea abies). Wood samples were collected from 90 downed spruce trunks, at four points from each trunk. Trunks were at...

Soil property, microbial abundance, and plant and invertebrate biomass data across a natural soil temperature gradient in Iceland from August 2018

Sinikka Robinson, Eoin O'Gorman, Beat Frey, Marleena Hagner & Juha Mikola
This is a dataset of soil physiochemical properties, bacterial and fungal abundance, and above and belowground plant and invertebrate biomass, sampled at 40 plots in the Hengill geothermal valley, Iceland, from 15th to 22nd August 2018. The plots span a temperature gradient of 10-35 °C over the sampling period, and this temperature gradient is consistent over time. The dataset also includes data on the decomposition rate of soil organic matter, which was sampled at 60...

The role of terrestrial productivity in regulating aquatic dissolved organic carbon concentrations in boreal catchments

Xudan Zhu, Liang Chen, Jukka Pumpanen, Anne Ojala, John Zobitz, Xuan Zhou, Hjalmar Laudon, Marjo Palviainen, Kimmo Neitola & Frank Berninger
The past decades have witnessed an increase in dissolved organic carbon (DOC) concentrations in the catchments of the Northern Hemisphere. Increases in terrestrial productivity may be a reason for the increases in DOC concentration. The aim of this study is to investigate the impacts of increased terrestrial productivity and changed hydrology following climate change on DOC concentrations. We tested and quantified the effects of gross primary production (GPP), ecosystem respiration (RE) and discharge on DOC...

Registration Year

  • 2022

Resource Types

  • Dataset


  • Natural Resources Institute Finland
  • University of Helsinki
  • Swedish University of Agricultural Sciences
  • National Research Institute for Agriculture, Food and Environment
  • Hólar University College
  • University of Eastern Finland
  • Estación Experimental del Zaidín
  • The Ohio State University
  • Estonian University of Life Sciences
  • International Livestock Research Institute