Citations (19)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (4)
Anders Bryn, Geir-Harald Strand, Michael Angeloff & Yngve Rekdal. (2018) Land cover in Norway based on an area frame survey of vegetation types. Norsk Geografisk Tidsskrift - Norwegian Journal of Geography 72:3, pages 131-145.
Read now
Read now
Esgo Kuiper & Anders Bryn. (2013) Forest regrowth and cultural heritage sites in Norway and along the Norwegian St Olav pilgrim routes. International Journal of Biodiversity Science, Ecosystem Services & Management 9:1, pages 54-64.
Read now
Read now
Anders Bryn, Pablo Dourojeanni, Lars
Østbye Hemsing & Sejal O'Donnell. (2013) A high-resolution GIS null model of potential forest expansion following land use changes in Norway. Scandinavian Journal of Forest Research 28:1, pages 81-98.
Read now
Read now
Anders Bryn & Lars Østbye Hemsing. (2012) Impacts of land use on the vegetation in three rural landscapes of Norway. International Journal of Biodiversity Science, Ecosystem Services & Management 8:4, pages 360-371.
Read now
Read now
Articles from other publishers (15)
Jia Qu, Qi Liu, Dongwei Gui, Xinlong Feng, Haolin Wang, Jianping Zhao, Guangyan Wang & Guanghui Wei. (2023) Precise vegetation restoration in arid regions based on potential natural vegetation and potential normalized difference vegetation index. Restoration Ecology.
Crossref
Crossref
Axel Bourdouxhe, Lionel Wibail, Hugues Claessens & Marc Dufrêne. (2023) Modeling potential natural vegetation: A new light on an old concept to guide nature conservation in fragmented and degraded landscapes. Ecological Modelling 481, pages 110382.
Crossref
Crossref
Sven Rubanschi, Sebastian T. Meyer, Christian Hof & Wolfgang W. Weisser. (2023) Modelling potential biotope composition on a regional scale revealed that climate variables are stronger drivers than soil variables. Diversity and Distributions 29:4, pages 492-508.
Crossref
Crossref
Rita Beigaitė, Jesse Read & Indrė Žliobaitė. (2022) Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover. Ecological Informatics, pages 101849.
Crossref
Crossref
Anders Bryn, Trine Bekkby, Eli Rinde, Hege Gundersen & Rune Halvorsen. (2021) Reliability in Distribution Modeling—A Synthesis and Step-by-Step Guidelines for Improved Practice. Frontiers in Ecology and Evolution 9.
Crossref
Crossref
Guilherme de Castro Oliveira, Daniel Meira Arruda, Elpídio Inácio Fernandes Filho, Gustavo Vieira Veloso, Márcio Rocha Francelino & Carlos Ernesto Gonçalves Reynaud Schaefer. (2021) Soil predictors are crucial for modelling vegetation distribution and its responses to climate change. Science of The Total Environment 780, pages 146680.
Crossref
Crossref
Peter Horvath, Hui Tang, Rune Halvorsen, Frode Stordal, Lena Merete Tallaksen, Terje Koren Berntsen & Anders Bryn. (2021) Improving the representation of high-latitude vegetation distribution in dynamic global vegetation models. Biogeosciences 18:1, pages 95-112.
Crossref
Crossref
Rune Halvorsen, Olav Skarpaas, Anders Bryn, Harald Bratli, Lars Erikstad, Trond Simensen & Eva Lieungh. (2020) Towards a systematics of ecodiversity: The EcoSyst framework. Global Ecology and Biogeography 29:11, pages 1887-1906.
Crossref
Crossref
Trond Simensen, Peter Horvath, Julien Vollering, Lars Erikstad, Rune Halvorsen & Anders Bryn. (2020) Composite landscape predictors improve distribution models of ecosystem types. Diversity and Distributions 26:8, pages 928-943.
Crossref
Crossref
Nussaïbah B. Raja, Olgu Aydin, İhsan Çiçek & Necla Türkoğlu. (2018) A reconstruction of Turkey’s potential natural vegetation using climate indicators. Journal of Forestry Research 30:6, pages 2199-2211.
Crossref
Crossref
Peter Horvath, Rune Halvorsen, Frode Stordal, Lena Merete Tallaksen, Hui Tang & Anders Bryn. (2019) Distribution modelling of vegetation types based on area frame survey data. Applied Vegetation Science 22:4, pages 547-560.
Crossref
Crossref
Travis Longcore, Nina Noujdina & Peter J. Dixon. (2018) Landscape Modeling of the Potential Natural Vegetation of Santa Catalina Island, California. Western North American Naturalist 78:4, pages 617.
Crossref
Crossref
Tomislav Hengl, Markus G. Walsh, Jonathan Sanderman, Ichsani Wheeler, Sandy P. Harrison & Iain C. Prentice. (2018) Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential. PeerJ 6, pages e5457.
Crossref
Crossref
Imelda Somodi, Zsolt Molnár, Bálint Czúcz, Ákos Bede‐Fazekas, János Bölöni, László Pásztor, Annamária Laborczi & Niklaus E. Zimmermann. (2017) Implementation and application of multiple potential natural vegetation models – a case study of Hungary. Journal of Vegetation Science 28:6, pages 1260-1269.
Crossref
Crossref
Heidrun A. Ullerud, Anders Bryn & Kari Klanderud. (2016) Distribution modelling of vegetation types in the boreal–alpine ecotone. Applied Vegetation Science 19:3, pages 528-540.
Crossref
Crossref