Organizing principles for vegetation dynamics

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Sökning: onr:"swepub:oai:DiVA.org:su-181924" > Organizing principl...

1 av 1
Föregående post
Nästa post
Till träfflistan

LIBRIS Formathandbok (Information om MARC21)

Fältnamn	Indikatorer	Metadata
000		05199naa a2200769 4500
001		oai:DiVA.org:su-181924
003		SwePub
008		200618s2020 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
009		oai:DiVA.org:umu-171967
009		oai:slubar.slu.se:105761
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1819242 URI
024	7	a https://doi.org/10.1038/s41477-020-0655-x2 DOI
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1719672 URI
024	7	a https://res.slu.se/id/publ/1057612 URI
040		a (SwePub)sud (SwePub)umud (SwePub)slu
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Franklin, Oskaru Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skogens ekologi och skötsel,Department of Forest Ecology and Management,International Institute for Applied Systems Analysis (IIASA)4 aut0 (Swepub:slu)51734
245	1 0	a Organizing principles for vegetation dynamics
264		c 2020-05-11
264	1	b Springer Science and Business Media LLC,c 2020
338		a print2 rdacarrier
520		a Plants and vegetation play a critical-but largely unpredictable-role in global environmental changes due to the multitude of contributing processes at widely different spatial and temporal scales. In this Perspective, we explore approaches to master this complexity and improve our ability to predict vegetation dynamics by explicitly taking account of principles that constrain plant and ecosystem behaviour: natural selection, self-organization and entropy maximization. These ideas are increasingly being used in vegetation models, but we argue that their full potential has yet to be realized. We demonstrate the power of natural selection-based optimality principles to predict photosynthetic and carbon allocation responses to multiple environmental drivers, as well as how individual plasticity leads to the predictable self-organization of forest canopies. We show how models of natural selection acting on a few key traits can generate realistic plant communities and how entropy maximization can identify the most probable outcomes of community dynamics in space- and time-varying environments. Finally, we present a roadmap indicating how these principles could be combined in a new generation of models with stronger theoretical foundations and an improved capacity to predict complex vegetation responses to environmental change. Integrating natural selection and other organizing principles into next-generation vegetation models could render them more theoretically sound and useful for earth system applications and modelling climate impacts.
650	7	a NATURVETENSKAPx Biologi0 (SwePub)1062 hsv//swe
650	7	a NATURAL SCIENCESx Biological Sciences0 (SwePub)1062 hsv//eng
650	7	a NATURVETENSKAPx Geovetenskap och miljövetenskapx Klimatforskning0 (SwePub)105012 hsv//swe
650	7	a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Climate Research0 (SwePub)105012 hsv//eng
650	7	a NATURVETENSKAPx Biologix Ekologi0 (SwePub)106112 hsv//swe
650	7	a NATURAL SCIENCESx Biological Sciencesx Ecology0 (SwePub)106112 hsv//eng
700	1	a Harrison, Sandy P.4 aut
700	1	a Dewar, Roderick4 aut
700	1	a Farrior, Caroline E.4 aut
700	1	a Brännström, Åke,d 1975-u Umeå universitet,Institutionen för matematik och matematisk statistik,International Institute for Applied Systems Analysis, Laxenburg, Austria.4 aut0 (Swepub:umu)akebrm97
700	1	a Dieckmann, Ulf4 aut
700	1	a Pietsch, Stephan4 aut
700	1	a Falster, Daniel4 aut
700	1	a Cramer, Wolfgang4 aut
700	1	a Loreau, Michel4 aut
700	1	a Wang, Han4 aut
700	1	a Mäkelä, Annikki4 aut
700	1	a Rebel, Karin T.4 aut
700	1	a Meron, Ehud4 aut
700	1	a Schymanski, Stanislaus J.4 aut
700	1	a Rovenskaya, Elena4 aut
700	1	a Stocker, Benjamin D.4 aut
700	1	a Zaehle, Sönke4 aut
700	1	a Manzoni, Stefanou Stockholms universitet,Institutionen för naturgeografi4 aut0 (Swepub:su)smanz
700	1	a van Oijen, Marcel4 aut
700	1	a Wright, Ian J.4 aut
700	1	a Ciais, Philippe4 aut
700	1	a van Bodegom, Peter M.4 aut
700	1	a Peñuelas, Josep4 aut
700	1	a Hofhansl, Florian4 aut
700	1	a Terrer, Cesar4 aut
700	1	a Soudzilovskaia, Nadejda A.4 aut
700	1	a Midgley, Guy4 aut
700	1	a Prentice, I. Colin4 aut
710	2	a Sveriges lantbruksuniversitetb Institutionen för skogens ekologi och skötsel4 org
710	2	a Sveriges lantbruksuniversitet
773	0	t Nature plantsd : Springer Science and Business Media LLCg 6:5, s. 444-453q 6:5<444-453x 2055-026Xx 2055-0278
856	4	u https://hal.archives-ouvertes.fr/hal-02615052/file/Franklin%20et%20al%20Perspective%202020.pdf
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-181924
856	4 8	u https://doi.org/10.1038/s41477-020-0655-x
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-171967
856	4 8	u https://res.slu.se/id/publ/105761

Hitta via bibliotek

Nature plants (Sök värdpublikationen i LIBRIS)

Till lärosätets databas

1 av 1
Föregående post
Nästa post
Till träfflistan

Hitta mer i SwePub

Om ämnet

NATURVETENSKAP: NATURVETENSKAP; och Biologi

NATURVETENSKAP: NATURVETENSKAP; och Geovetenskap och ...; och Klimatforskning

NATURVETENSKAP: NATURVETENSKAP; och Biologi; och Ekologi

Artiklar i publikationen: Nature plants

Av lärosätet: Stockholms universitet; Umeå universitet; Sveriges Lantbruksuniversitet

Sök utanför SwePub

Sök vidare i:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se