Henrik Meilby

Prof. Dr. Henrik Meilby

orcid

Research Focus & Metrics

Academic Career Length

57Years (1970-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2014 in Remote Sensing of Environment
Verified
Journal Article
Closed access
GFGudina Legese Feyisa
Gudina Legese Feyisa
HMHenrik Meilby
Henrik Meilby
RFRasmus Fensholt
Rasmus Fensholt
SPSimon Proud
Simon Proud

1 March 2014 in Landscape and Urban Planning
Verified
Journal Article
Closed access
GFGudina Legese Feyisa
Gudina Legese Feyisa
KDKlaus Dons
Klaus Dons
HMHenrik Meilby
Henrik Meilby

16 June 2015 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
PDF file
JSJ. W. Ferry Slik
J. W. Ferry Slik
VAVíctor Arroyo-Rodríguez
Víctor Arroyo-Rodríguez
SAShin-Ichiro Aiba
Shin-Ichiro Aiba
PAPatricia Alvarez-Loayza
Patricia Alvarez-Loayza
LALuciana F. Alves
Luciana F. Alves
EVEduardo M. Venticinque
Eduardo M. Venticinque
Significance: People are fascinated by the amazing diversity of tropical forests and will be surprised to learn that robust estimates of the number of tropical tree species are lacking. We show that there are at least 40,000, but possibly more than 53,000, tree species in the tropics, in contrast to only 124 across temperate Europe. Almost all tropical tree species are restricted to their respective continents, and the Indo-Pacific region appears to be as species-rich as tropical America, with each of these two regions being almost five times as rich in tree species as African tropical forests. Our study shows that most tree species are extremely rare, meaning that they may be under serious risk of extinction at current deforestation rates.

6 December 2011 in Annals of Forest Science
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Journal Article
Open access
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RYRasoul Yousefpour
Rasoul Yousefpour
JJJette Bredahl Jacobsen
Jette Bredahl Jacobsen
BTBo Thorsen
Bo Thorsen
HMHenrik Meilby
Henrik Meilby
MHMarc Hanewinkel
Marc Hanewinkel
KOKaroline Oehler
Karoline Oehler
This review paper provides an overview of approaches to which we may resort for handling the complex decision problems involving uncertainty and risk that climate change implies for forest managers. Modelling approaches that could support adaptive management strategies seem to be called for, not only as climate change denotes increased economic uncertainty but also because new and more reliable information becomes available as time passes and climate changes. The paper (1) provides a broad overview of state-of-the-art methods for optimal decision making under risk and uncertainty in forestry and (2) elaborates on the possible use of these methods in adaptive forest management under climate change. A survey of the current literature is carried out to identify approaches and developments that may prove most promising in relation to different challenges to the adaptive management of forest ecosystems under climate change. Most studies focusing on changing, typically increasing, risks in forest management under climate change tend to build on existing approaches about changes in risk levels contingent on climate change scenarios. Finally, we discuss what to emphasise in future studies to improve the understanding of adaptive forest management and decision support tools needed to cope with climate change.

21 October 2013 in Landscape Research
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Journal Article
Closed access
LLLene Lottrup
Lene Lottrup
USUlrika K. Stigsdotter
Ulrika K. Stigsdotter
HMHenrik Meilby
Henrik Meilby
ACAnne Grete Claudi
Anne Grete Claudi

20 November 2012 in Agricultural Economics
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Journal Article
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ØNØystein Juul Nielsen
Øystein Juul Nielsen
SRSantosh Rayamajhi
Santosh Rayamajhi
PUPatricia Uberhuaga
Patricia Uberhuaga
HMHenrik Meilby
Henrik Meilby
Carsten Smith-HallCarsten Smith-Hall
Carsten Smith-Hall