Ida Marielle Mienna

• Naas, Adam Eindride; Keetz, Lasse Torben; Halvorsen, Rune; Horvath, Peter; Mienna, Ida Marielle & Simensen, Trond [Show all 7 contributors for this article] (2024). Choice of predictors and complexity for ecosystem distribution models: effects on performance and transferability. Ecography. ISSN 0906-7590. doi: 10.1111/ecog.07269.
• Naas, Adam Eindride; Keetz, Lasse Torben; Halvorsen, Rune; Horvath, Peter; Mienna, Ida Marielle & Simensen, Trond [Show all 7 contributors for this article] (2024). Choice of predictors and complexity for ecosystem distribution models: effects on performance and transferability. Ecography. ISSN 0906-7590. p. 1–14. doi: 10.1111/ecog.07269.
• Mienna, Ida Marielle; Klanderud, Kari; Næsset, Erik; Gobakken, Terje & Bollandsås, Ole Martin (2024). Quantifying the roles of climate, herbivory, topography, and vegetation on tree establishment in the treeline ecotone. Ecosphere. ISSN 2150-8925. 15(4). doi: 10.1002/ecs2.4845.
• Matten, Damaris Marina; Mienna, Ida Marielle; Bieker, Vanessa Carina; Mishler, Brent D.; Moen, Victoria Stornes & Nygård, Malene Østreng [Show all 10 contributors for this article] (2023). Spatial patterns of phylogenetic and species diversity of fennoscandian vascular plants in protected areas. Biodiversity and Conservation. ISSN 0960-3115. 32, p. 4425–4443. doi: 10.1007/s10531-023-02705-9. Full text in Research Archive Show summary

  Protected areas are one of the main strategic means for conserving biodiversity. Yet, the design of protected areas usually neglects phylogenetic diversity, an important diversity measure. In this paper we assess the phylogenetic diversity and species richness of vascular plants in Fennoscandian protected areas. We evaluate how much species richness and phylogenetic diversity is found within and outside protected areas, and the differences in plant diversity between different categories of protected areas. We also assess the differences in the diversity-area relationship of the different protected area categories in terms of both species richness and phylogenetic diversity. We build a multi-locus phylogeny of 1,519 native vascular plants of Norway, Sweden, and Finland. We estimate the phylogenetic diversity and species richness by combining the phylogeny with publicly available occurrence data and the currently protected area system of Fennoscandia. Our results indicate that protected areas in Fennoscandia hold more plant diversity when larger, and that phylogenetic diversity increases faster with area than species richness. We found evidence for more plant diversity outside of protected areas of the different countries of Fennoscandia than inside of protected areas, but no evidence for plant diversity differences between areas with different protection status. Hence, our results indicate that the current protected area system in Fennoscandia is no more effective in conserving phylogenetic diversity and species richness of vascular plants than a random selection of localities. Our results also indicate that planning conservation strategies around phylogenetic diversity, rather than species richness, might be a first step to protect vascular plant diversity more effectively. Biodiversity · Spatial phylogenetics · Conservation · Diversity-area relationship · Flora

• Mukhopadhyay, Ritwika; Næsset, Erik; Gobakken, Terje; Mienna, Ida Marielle; Candelas Bielza, Jaime & Austrheim, Gunnar [Show all 10 contributors for this article] (2023). Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference. Remote Sensing. ISSN 2072-4292. 15(14). doi: 10.3390/rs15143508. Full text in Research Archive
• Mienna, Ida Marielle; Klanderud, Kari; Ørka, Hans Ole; Bryn, Anders & Bollandsås, Ole Martin (2022). Land cover classification of treeline ecotones along a 1100 km latitudinal transect using spectral- and three-dimensional information from UAV-based aerial imagery. Remote Sensing in Ecology and Conservation. ISSN 2056-3485. 8(4), p. 536–550. doi: 10.1002/rse2.260. Full text in Research Archive Show summary

  The alpine treeline ecotone is expected to move upwards in elevation with global warming. Thus, mapping treeline ecotones is crucial in monitoring potential changes. Previous remote sensing studies have focused on the usage of satellites and aircrafts for mapping the treeline ecotone. However, treeline ecotones can be highly heterogenous, and thus the use of imagery with higher spatial resolution should be investigated. We evaluate the potential of using unmanned aerial vehicles (UAVs) for the collection of ultra-high spatial resolution imagery for mapping treeline ecotone land covers. We acquired imagery and field reference data from 32 treeline ecotone sites along a 1100 km latitudinal gradient in Norway (60–69°N). Before classification, we performed a superpixel segmentation of the UAV-derived orthomosaics and assigned land cover classes to segments: rock, water, snow, shadow, wetland, tree-covered area and five classes within the ridge-snowbed gradient. We calculated features providing spectral, textural, three-dimensional vegetation structure, topographical and shape information for the classification. To evaluate the influence of acquisition time during the growing season and geographical variations, we performed four sets of classifications: global, seasonal-based, geographical regional-based and seasonal-regional-based. We found no differences in overall accuracy (OA) between the different classifications, and the global model with observations irrespective of data acquisition timing and geographical region had an OA of 73%. When accounting for similarities between closely related classes along the ridge-snowbed gradient, the accuracy increased to 92.6%. We found spectral features related to visible, red-edge and near-infrared bands to be the most important to predict treeline ecotone land cover classes. Our results show that the use of UAVs is efficient in mapping treeline ecotones, and that data can be acquired irrespective of timing within a growing season and geographical region to get accurate land cover maps. This can overcome constraints of a short field-season or low-resolution remote sensing data.

• Mienna, Ida Marielle; Austrheim, Gunnar; Klanderud, Kari; Bollandsås, Ole Martin & Speed, James David Mervyn (2022). Legacy effects of herbivory on treeline dynamics along an elevational gradient. Oecologia. ISSN 0029-8549. 198, p. 801–814. doi: 10.1007/s00442-022-05125-8. Full text in Research Archive
• Mienna, Ida Marielle; Speed, James David Mervyn; Klanderud, Kari; Austrheim, Gunnar; Næsset, Erik & Bollandsås, Ole Martin (2020). The relative role of climate and herbivory in driving treeline dynamics along a latitudinal gradient. Journal of Vegetation Science (JVS). ISSN 1100-9233. 31(3), p. 392–402. doi: 10.1111/jvs.12865. Full text in Research Archive
• Mienna, Ida Marielle; Speed, James David Mervyn; Bendiksby, Mika; Thornhill, Andrew H.; Mishler, Brent D. & Martin, Michael David (2019). Differential patterns of floristic phylogenetic diversity across a post-glacial landscape. Journal of Biogeography. ISSN 0305-0270. 47, p. 915–926. doi: 10.1111/jbi.13789. Full text in Research Archive

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• Mienna, Ida Marielle (2024). Skal bruke KI for å kartlegge Vestlandet. [Radio]. NRK.
• Jansson, Ulrika; Bakkestuen, Vegar; Lyngstad, Anders & Mienna, Ida Marielle (2024). Draining of wetland and peatland forest.
• Bryn, Anders; Brynildsrud, Katrine Marie; Horvath, Peter; Keetz, Lasse Torben; Lieungh, Eva & Naas, Adam Eindride [Show all 9 contributors for this article] (2023). “Ground-truth" from field-based ecosystem mapping.
• Mienna, Ida Marielle; Speed, James David Mervyn; Klanderud, Kari; Bollandsås, Ole Martin & Austrheim, Gunnar (2020). Drivers of treeline dynamics with varying herbivore densities.
• Mienna, Ida Marielle; Stensli, Steinar Gilleberg; Jutras-Perreault, Marie-Claude & Bollandsås, Ole Martin (2019). Detecting pioneer trees in the forest-tundra ecotone by digital aerial photogrammetry.
• Mienna, Ida Marielle; Speed, James David Mervyn; Martin, Michael David; Bendiksby, Mika; Thornhill, Andrew H & Mishler, Brent D (2018). The Spatial Distribution Of Phylogenetic Diversity And Endemism In The Norwegian Vascular Flora.
• Mienna, Ida Marielle; Speed, James David Mervyn; Martin, Michael David; Bendiksby, Mika; Thornhill, Andrew H & Mishler, Brent D (2018). Patterns and drivers of vascular plant phylogenetic diversity and endemism across Norway.
• Jansson, Ulrika; Mienna, Ida Marielle & Stabbetorp, Odd Egil (2024). Fremmede arter langs Sporveiens strekninger innenfor Oslo kommune. Kartlegging av utvalgte T-bane- og trikkelinjer. Norsk institutt for naturforskning (NINA). ISSN 978-82-426-5185-3. Show summary

  Norge Oslo Fremmede arter Naturtyper Miljødirektoratets instruks DN Håndbok 13 Prioritering Tiltak

• Jansson, Ulrika; Bakkestuen, Vegar; Lyngstad, Anders & Mienna, Ida Marielle (2024). Utvikling av grøftekart i myr og torvmark i Norge med hjelp av dyplæring . Norsk institutt for naturforskning (NINA). ISSN 978-82-426-5252-2. Show summary

  Norge Myr, Våtmark, Torvmark Skog Grøfter, Drenering Kartlegging Forvaltning Økologisk tilstand Fjernmåling og Lidar Kunstig intelligens

• Mienna, Ida Marielle; Martin, Michael David; Speed, James David Mervyn & Bendiksby, Mika (2018). Patterns and drivers of phylogenetic diversity and endemism in the Norwegian vascular flora. NTNU.

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