Eva Lieungh

Doctoral Research Fellow - Geo-Ecology Research Group

Norwegian version of this page

Email eva.lieungh@nhm.uio.no

Room 225

Username

Visiting address Lids hus Oslo

Postal address Postboks 1172, Blindern 0318 Oslo

Other affiliations Faculty of Mathematics and Natural Sciences (Student)

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Academic interests

My interests include spatial dynamics, botany and human-nature relations.

Background

My background includes a bachelors degree in development studies, where I specialised in human geography. I then started on a bachelors degree in biology, and finished my masters in ecology and evolution in 2017. My masters thesis quantifies errors in vegetation mapping using the "Nature in Norway" (NiN) system. I have done various botanical and vegetation mapping field work since 2015.

Courses

I'm involved in teaching the following courses:

BIO4120

BIO4115

Tags: plant ecology, GIS, Distribution modelling, NiN, Mapping

Halvorsen, Rune; Skarpaas, Olav; Bryn, Anders; Bratli, Harald; Erikstad, Lars & Simensen, Trond [Show all 7 contributors for this article] (2020). Towards a systematics of ecodiversity: the Ecosyst framework. Global Ecology and Biogeography. ISSN 1466-822X. 29(11), p. 1887–1906. doi: 10.1111/geb.13164. Full text in Research Archive Show summary
Background Although a standard taxonomy of organisms has existed for nearly 300 years, no consensus has yet been reached on principles for systematization of ecological diversity (i.e., the co‐ordinated variation of abiotic and biotic components of natural diversity). In a rapidly changing world, where nature is under constant pressure, standardized terms and methods for characterization of ecological diversity are urgently needed (e.g., to enhance precision and credibility of global change assessments). Aim The aim is to present the EcoSyst framework, a set of general principles and methods for systematization of natural diversity that simultaneously addresses biotic and abiotic variation, and to discuss perspectives opened by this framework. Innovation EcoSyst provides a framework for systematizing natural variation in a consistent manner across different levels of organization. At each ecodiversity level, EcoSyst principles can be used to establish: (a) an extensive attribute system with descriptive variables that cover all relevant sources of variation; (b) a hierarchical‐type system; and (c) a set of guidelines for land‐cover mapping that is consistent across spatial scales. EcoSyst type systems can be conceptualized as multidimensional models, by which a key characteristic (the response) is related to variation in one or more key sources of variation (predictors). EcoSyst type hierarchies are developed by a gradient‐based iterative procedure, by which the “ecodiversity distance” (i.e., the extent to which the key characteristic differs between adjacent candidate types) is standardized and the ecological processes behind observed patterns are explicitly taken into account. Application We present “Nature in Norway” (NiN), an implementation of the EcoSyst framework for Norway for the ecosystem and landscape levels of ecodiversity. Examples of applications to research and management are given. Conclusion The EcoSyst framework provides a theoretical platform, principles and methods that can complement and enhance initiatives towards a global‐scale systematics of ecodiversity. iodiversity complex gradient continuum theory ecodiversity ecosystem geodiversity gradient landscape mapping typology
Eriksen, Eva Lieungh; Ullerud, Heidrun Asgeirsdatter; Halvorsen, Rune; Aune, Sigrun; Bratli, Harald & Horvath, Peter [Show all 9 contributors for this article] (2018). Point of view: error estimation in field assignment of land-cover types. Phytocoenologia. ISSN 0340-269X. 49(2), p. 135–148. doi: 10.1127/phyto/2018/0293. Full text in Research Archive

View all works in Cristin

Lieungh, Eva & Brynildsrud, Katrine Marie (2021). Opplæring og kartlegging med Natur i Norge.
Fouilloux, Anne Claire; Tang, Hui; Lieungh, Eva; Geange, Sonya Rita; Horvath, Peter & Bryn, Anders (2020). FATES on GALAXY facilitates ecologist and climate modeler collaboration.
Fouilloux, Anne Claire; Tang, Hui; Lieungh, Eva; Geange, Sonya Rita; Horvath, Peter & Bryn, Anders (2020). Climate JupyterLab as an interactive tool in Galaxy.
Fouilloux, Anne Claire; Tang, Hui; Lieungh, Eva; Geange, Sonya Rita; Horvath, Peter & Bryn, Anders (2020). Functionally Assembled Terrestrial Ecosystem Simulator (FATES) with Community Land Model in Galaxy.
Lieungh, Eva; Bryn, Anders; Stordal, Frode; Bjerke, Jarle W.; Tonjer, Lea-Rebekka & Bright, Ryan M. (2020). Norske fjell gror igjen i et varmere klima. Aftenposten (morgenutg. : trykt utg.). ISSN 0804-3116. p. 20–21.
Lieungh, Eva (2019). Plantenes planet.
Skarpaas, Olav; Eriksen, Eva Lieungh & Bryn, Anders (2019). Klimaforskning ved NHM.
Eriksen, Eva Lieungh (2019). Plantenes planet.
Vandvik, Vigdis; Töpper, Joachim Paul; Alexander, Jake M.; Skarpaas, Olav; Olsen, Siri Lie & Klanderud, Kari [Show all 14 contributors for this article] (2019). INCLINE: Indirect climate change impacts on alpine plant communities.
Halvorsen, Rune; Eriksen, Eva Lieungh; Wollan, Anders Kvalvåg; Ullerud, Heidrun Asgeirsdatter; Bryn, Anders & Bratli, Harald [Show all 7 contributors for this article] (2018). Forarbeid til standard for kontroll av kvalitet i naturtypekart etter NiN. FoU rapport 1. Artsdatabanken. ISSN 978-82-92838-51-8.
Wollan, Anders Kvalvåg; Bratli, Harald; Bryn, Anders; Eriksen, Eva Lieungh; Nilsen, Anne-Barbi & Ullerud, Heidrun Asgeirsdatter [Show all 7 contributors for this article] (2018). Test av metoder for etterkontroll av kvalitet i naturtypekart etter NiN versjon 2, på Jeløya 2017. Natur i Norge FoU-Rapport 2. . Artsdatabanken.