| 1. |
- Andrén, Henrik, et al.
(författare)
-
Harvest models of small populations of a large carnivore using Bayesian forecasting
- 2020
-
Ingår i: Ecological Applications. - : Wiley. - 1051-0761 .- 1939-5582. ; 30:3
-
Tidskriftsartikel (refereegranskat)abstract
- Harvesting large carnivores can be a management tool for meeting politically set goals for their desired abundance. However, harvesting carnivores creates its own set of conflicts in both society and among conservation professionals, where one consequence is a need to demonstrate that management is sustainable, evidence-based, and guided by science. Furthermore, because large carnivores often also have high degrees of legal protection, harvest quotas have to be carefully justified and constantly adjusted to avoid damaging their conservation status. We developed a Bayesian state-space model to support adaptive management of Eurasian lynx harvesting in Scandinavia. The model uses data from the annual monitoring of lynx abundance and results from long-term field research on lynx biology, which has provided detailed estimates of key demographic parameters. We used the model to predict the probability that the forecasted population size will be below or above the management objectives when subjected to different harvest quotas. The model presented here informs decision makers about the policy risks of alternative harvest levels. Earlier versions of the model have been available for wildlife managers in both Sweden and Norway to guide lynx harvest quotas and the model predictions showed good agreement with observations. We combined monitoring data with data on vital rates and were able to estimate unobserved additional mortality rates, which are most probably due to poaching. In both countries, the past quota setting strategy suggests that there has been a de facto threshold strategy with increasing proportion, which means that there is no harvest below a certain population size, but above this threshold there is an increasing proportion of the population harvested as the population size increases. The annual assessment of the monitoring results, the use of forecasting models, and a threshold harvest approach to quota setting will all reduce the risk of lynx population sizes moving outside the desired goals. The approach we illustrate could be adapted to other populations of mammals worldwide.
|
|
| 2. |
- Augustsson, Evelina, et al.
(författare)
-
Density-dependent dinner: Wild boar overuse agricultural land at high densities
- 2024
-
Ingår i: European Journal of Wildlife Research. - 1612-4642 .- 1439-0574. ; 70
-
Tidskriftsartikel (refereegranskat)abstract
- The Swedish wild boar (Sus scrofa) population has increased rapidly over the last decades, resulting in conflicts with human activities. Particularly, the increase has been challenging for agriculture as wild boar cause damage on crops and grasslands. To predict under what conditions to expect damage and where to prioritize management actions, basic knowledge about wild boar habitat and space use is needed. In this study, we used data from 99 wild boar equipped with GPS-collars, collected over a large temporal scale and throughout their distributional range in southern Sweden. We investigated wild boar home range size and habitat use across gradients of habitat availability and population density. Functional response in habitat use was assessed by estimating the use and availability of agricultural land on individual level and then, on population-level evaluating how use changed with changing availability. Finally, a potential response in habitat use was evaluated in relation to population density, i.e., the interaction between availability and population density. Home range size was negatively related to population density for both male and female wild boar. Wild boar used agricultural land more intensively with increasing population density and when other habitat types were less available. Our findings show that wild boar spatial behavior is highly context dependent and may vary considerably due to landscape characteristics and local conditions. Wild boars tend to overuse agricultural land at high densities which has strong implications for wildlife management. It is therefore important to consider local conditions when predicting space and habitat use by wild boar. Overall, this study provided a better understanding of the drivers of wild boar distribution and space use in agro-forested mosaic landscapes and how this knowledge can improve management practices.
|
|
| 3. |
|
|
| 4. |
|
|
| 5. |
|
|
| 6. |
- Andren, Henrik, et al.
(författare)
-
Beskattningsmodell för järv : prognoser för järvpopulationen 2021 vid olika beskattningsnivåer under 2020
- 2020
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Naturvårdsverket uppdrog (Ärende NV-04217-20, Kontrakt 331-20-004) åt Jens Persson och Henrik Andrén vid SLU, Institutionen för ekologi, Grimsö Forskningsstation att prognostisera järvpopulationen 2021 vid olika beskattningsnivåer under 2020 för Sverige och dessutom för Norrbottens, Västerbottens, Jämtlands län samt sammantaget för övriga län med järvförekomst (Västernorrlands, Dalarnas, Gävleborgs och Värmlands län).
|
|
| 7. |
- Andren, Henrik
(författare)
-
Beskattningsmodell för lodjur: prognoser för den svenska lodjurspopulationen 2022 vid olika beskattningsnivåer under 2021
- 2020
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Naturvårdsverket uppdrog (Ärendenummer NV-05689-20, Kontraktsnummer 331-20-006) åt Henrik Andrén vid SLU, Institutionen för ekologi, Grimsö Forskningsstation att prognostisera lodjurspopulationen för vintern 2021/2022 vid olika beskattningsnivåer (både totalt antal lodjur och honkvoter) under 2021 för respektive Rovdjursförvaltningsområde (RFO), och dessutom för det norra förvaltningsområdet presentera prognoser för respektive län och för olika längd på tidsserierna.
|
|
| 8. |
- Andren, Henrik, et al.
(författare)
-
Beskattningsmodell för järv. Prognoser för järvpopulationen 2021 vid olika beskattningsnivåer under 2020 Version 2
- 2020
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Naturvårdsverket uppdrog (Ärende NV-04217-20, Kontrakt 331-20-004) åt Jens Persson och Henrik Andrén vid SLU, Institutionen för ekologi, Grimsö Forskningsstation att prognostisera järvpopulationen 2021 vid olika beskattningsnivåer under 2020 för Sverige och dessutom för Norrbottens, Västerbottens, Jämtlands län samt sammantaget för övriga län med järvförekomst (Västernorrlands, Dalarnas, Gävleborgs och Värmlands län).
|
|
| 9. |
|
|
| 10. |
|
|
