2018
DOI: 10.1080/1747423x.2018.1539779
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Loss of semi-natural grassland in a boreal landscape: impacts of agricultural intensification and abandonment

Abstract: The long history of human land use have had a strong influence on ecosystems and landscapes in the boreal forest region of Northern Europe and created semi-natural habitats of high conservation value. In this study, we quantify land-cover change and loss of semi-natural grassland in an agricultural landscape (6.2 km 2) in the boreal region of Norway from 1960 to 2015, and document a 49.1% loss of area that was seminatural grassland in 1960. The remaining semi-natural grasslands became smaller and the connectiv… Show more

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Cited by 40 publications
(30 citation statements)
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References 64 publications
(74 reference statements)
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“…For example, livestock grazing on lakeshores has decreased strongly (cf. Aune, Bryn, & Hovstad, 2018 Note: Random factor is lake (random effect variance = 0.050, SD = 0.223, residual variance = 0.448, SD = 0.670). Fixed effect variables are explained in the Methods section.…”
Section: Herbivores Did Better Than Invertivoresmentioning
confidence: 99%
“…For example, livestock grazing on lakeshores has decreased strongly (cf. Aune, Bryn, & Hovstad, 2018 Note: Random factor is lake (random effect variance = 0.050, SD = 0.223, residual variance = 0.448, SD = 0.670). Fixed effect variables are explained in the Methods section.…”
Section: Herbivores Did Better Than Invertivoresmentioning
confidence: 99%
“…Sheep are also kept on managed pastures to maintain the agricultural landscape. Grants are provided for grazing livestock that counteract the overgrowing of former agricultural land with shrubs (Aune et al, 2018). Agricultural specialization was a recent phenomenon and farmers who specialize on grain, potatoes, or vegetables often have an old barn on the farm.…”
Section: Managed and Unmanaged Pasturesmentioning
confidence: 99%
“…The heavy dependency on soil basicity and acidity differences in the NiN system is probably a major reason behind the low classification accuracy for both the API method and the FS method with regard to agricultural land, including semi-natural grasslands. As major carriers of biodiversity, these have many classes to choose from , including a number of classes with different levels of basicity that are difficult to separate from aerial photographs (Aune et al 2018). Another factor influencing classification success of agricultural classes is disproportionately high number of units related to different agricultural practices of a varying intensity (a total of 48 units in NiN).…”
Section: Implications Of Mapping According To the Nin Systemmentioning
confidence: 99%