Markku Larjavaara
Peking University
43 Papers
50 Citations
Markku Larjavaara is an academic researcher from Peking University. The author has contributed to research in topics: Fire regime & Biology. The author has an hindex of 14, co-authored 39 publications. Previous affiliations of Markku Larjavaara include Smithsonian Tropical Research Institute & Finnish Forest Research Institute.
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Papers
Measuring tree height: a quantitative comparison of two common field methods in a moist tropical forest
TL;DR: In this paper, the authors compare the performance of the sine method and the tangent method for tree height estimation in a Neotropical moist forest in Panama, using laser rangefinders.
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Rethinking the value of high wood density
TL;DR: It is hypothesized that high wood density is associated with lower maintenance costs due to lower trunk surface area, as surface area correlates with maintenance respiration, and has important implications for understanding tree life-history evolution, functional diversity, forest carbon stocks and the impacts of global change.
212
Carbon stocks in primary and secondary tropical forests in Singapore
Kang Min Ngo,Benjamin L. Turner,Helene C. Muller-Landau,Stuart J. Davies,Markku Larjavaara,Nik Faizu bin Nik Hassan,Shawn K. Y. Lum +6 more
TL;DR: In this paper, the authors quantified carbon stocks in primary and 60-year-old secondary forest plots located on infertile Ultisols in Bukit Timah Nature Reserve, one of the few remaining areas of forest in Singapore.
211
Spatial distribution of lightning-ignited forest fires in Finland
TL;DR: This paper examined the spatial and temporal distribution of forest fires ignited by lightning in Finland and found that there was a strong decreasing gradient in the density of reported lightning-ignited forest fires from south to north, ranging from ca. 0.1 fires on the southern coast to less than 0.01 fires in the northern Finland.
83
Temperature explains global variation in biomass among humid old‐growth forests
TL;DR: In this article, the authors developed and tested a simple climate-based ecophysiological model of aboveground biomass, which can be applied directly to predicting the effects of climate change on forest carbon stores.
70