High winter loads of Oestrid larvae and Elaphostrongylus rangiferi are associated with emaciation in wild reindeer calves

Handeland, Kjell; Tunheim, Ketil; Madslien, Knut; Vikøren, Turid; Viljugrein, Hildegunn; Mossing, Anders; Børve, Ivar; Strand, Olav; Hamnes, Inger Sofie

doi:10.1016/j.ijppaw.2021.05.008

Cited by 4 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ideally, the bone marrow fat index should be used in combination with visual fat assessment of the carcass. This has also been the conclusion in other studies that evaluated measures of body condition in reindeer [45,49].…”

Section: Discussionsupporting

confidence: 80%

See 1 more Smart Citation

Necropsy findings and causes of loss in semi-domesticated reindeer (Rangifer tarandus tarandus) in Northern Norway

Mørk,

Eira,

Rødven

et al. 2023

Preprint

View full text Add to dashboard Cite

Background: Reindeer herding in Norway is based on traditional Sámi pastoralism with the animals free ranging throughout the year. The animals move over large areas in varying terrain and often in challenging weather conditions. Winter crises, such as difficult grazing conditions caused by icing or large amount of snow, are survival bottlenecks for reindeer. Calves are especially vulnerable, and many may die from starvation during winter crises. Predation and starvation are the predominant narrative to explain losses, however, carcasses are difficult to find and often little remains after scavenging and decay. Documentation of the causes of death is therefore scarce. Results: In this study, we investigated the cause of reindeer mortality in Troms and Finnmark, Nordland and Trøndelag during 2017-2019. Necropsies (n=125) and organ investigation (n=13) were performed to document cause of death. Body condition was evaluated using visual fat score and bone marrow fat index. A wide range of causes of death was detected. The diagnosis were categorized into the following main diagnostic categories: predation (n=40), emaciation (n=35), infectious disease (n=20), trauma (n=11), feeding related disease (n=5), neoplasia (4), others (n=6) and unknown (n=17). Co-morbidities were seen in a number of diagnoses (n=16). Reindeer herders are entitled to economic compensation for reindeer killed by endangered predators, but a lack of documentation leads to a gap between the amount of compensation requested and what is awarded. An important finding of our study was that predators killed animals in good as well as poor condition during winter. Emaciation was shown to also be associated with infectious diseases, and not only attributable to winter grazing conditions. Conclusions: This study highlights the importance of examining dead reindeer to gain knowledge about why they die on winter pasture. The work presented herein also shows the feasibility and value of increased documentation of reindeer losses during winter.

show abstract

Section: Discussionsupporting

confidence: 80%

“…Handeland et al (2021) found that high number/load of the three parasites Cephenemyia trompe, Hypoderma tarandi and Elaphostrongylus rangiferi in wild reindeer in uenced the body condition in calves and increased the risk of emaciation [49]. However, the mean load/range of these parasites were much higher than those seen in our results.…”

Section: Discussioncontrasting

confidence: 72%

Necropsy findings and causes of loss in semi-domesticated reindeer (Rangifer tarandus tarandus) in Northern Norway

Mørk,

Eira,

Rødven

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The seNorge mean daily temperature dataset, and other seNorge products, have been used in a variety of studies (e.g. Erlandsen et al, 2021;Belušić et al, 2020;Handeland et al, 2021;Lawrence, 2020).…”

Section: Nwp Systemmentioning

confidence: 99%

Probabilistic prediction of the time to hard freeze using seasonal weather forecasts and survival time methods

Roksvåg¹,

Lenkoski²,

Scheuerer³

et al. 2022

Preprint

View full text Add to dashboard Cite

Agricultural food production and natural ecological systems depend on a range of seasonal climate indicators that describe seasonal patterns in climatological conditions. This paper proposes a probabilistic forecasting framework for predicting the end of the freeze-free season, or the time to a mean daily near-surface air temperature below 0 • C (here referred to as hard freeze). The forecasting framework is based on the multi-model seasonal forecast ensemble provided by the Copernicus Climate Data Store and uses techniques from survival analysis for time-to-event data. The original mean daily temperature forecasts are statistically post-processed with a mean and variance correction of each model system before the time-to-event forecast is constructed. In a case study for a region in Fennoscandia covering Norway for the period 1993-2020, the proposed forecasts are found to outperform a climatology forecast from an observation-based data product at locations where the average predicted time to hard freeze is less than 40 days after the initialization date of the forecast on October 1.

show abstract

“…(2018; 2019) for details. The seNorge mean daily temperature dataset, and other seNorge products, have been used in a variety of studies (e.g., Belušić et al ., 2020; Lawrence, 2020; Erlandsen et al ., 2021; Handeland et al ., 2021). In our study, they are used as a proxy for local, observed surface temperatures.…”

Section: Data Productsmentioning

confidence: 99%

Probabilistic prediction of the time to hard freeze using seasonal weather forecasts and survival time methods

Roksvåg

Lenkoski

Scheuerer

et al. 2022

Quart J Royal Meteoro Soc

View full text Add to dashboard Cite

Agricultural food production and natural ecological systems depend on a range of seasonal climate indicators that describe seasonal patterns in climatological conditions. This article proposes a probabilistic forecasting framework for predicting the end of the freeze‐free season, or the time to a mean daily near‐surface air temperature below 0°C (referred to here as hard freeze). The forecasting framework is based on the multimodel seasonal forecast ensemble provided by the Copernicus Climate Data Store and uses techniques from survival analysis for time‐to‐event data. The original mean daily temperature forecasts are statistically postprocessed and downscaled with a mean and variance correction of each model system before the time‐to‐event forecast is constructed. In a case study for a region in Fennoscandia covering Norway for the period 1993–2020, the proposed forecasts are found to outperform a climatology forecast from an observation‐based data product at locations where the average predicted time to hard freeze is less than 40 days after the initialization date of the forecast on October 1.

show abstract

High winter loads of Oestrid larvae and Elaphostrongylus rangiferi are associated with emaciation in wild reindeer calves

Cited by 4 publications

References 23 publications

Necropsy findings and causes of loss in semi-domesticated reindeer (Rangifer tarandus tarandus) in Northern Norway

Necropsy findings and causes of loss in semi-domesticated reindeer (Rangifer tarandus tarandus) in Northern Norway

Probabilistic prediction of the time to hard freeze using seasonal weather forecasts and survival time methods

Probabilistic prediction of the time to hard freeze using seasonal weather forecasts and survival time methods

Contact Info

Product

Resources

About