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Forest structure determines the abundance and distribution of large lianas in Gabon

Publication ,  Journal Article
Poulsen, JR; Koerner, SE; Miao, Z; Medjibe, VP; Banak, LN; White, LJT
Published in: Global Ecology and Biogeography
April 1, 2017

Aim: Lianas are an important component of forest structure in the tropics, accounting for up to 45% of total stems. Mounting evidence that tropical forests are undergoing structural changes, with a growing abundance of lianas reducing forest carbon storage potential, imparts a sense of urgency to study the drivers that control liana abundance and biomass, particularly in Africa where data come from a few, small-scale studies. Location: Gabon, Africa. Methods: In the first countrywide study of lianas, we implemented the most ambitious, large-scale forest inventory in tropical Africa to date, quantifying the density, basal area and biomass of large lianas (≥10 cm in diameter) using a systematic, random design of 104 plots located across Gabon. Additionally, we examined the relative importance of environmental variables (mean annual precipitation, mean annual temperature, seasonality, soil nitrogen, soil fertility), disturbance (effect of gaps, forest type) and forest structure (large tree biomass) in driving macroscale variation in the abundance of large lianas. Results: In total, we surveyed 1354 large lianas, and found the density, basal area and biomass of large lianas in Gabon to be comparable to that in other tropical forests. The success of large lianas was positively related to soil N, but most strongly correlated with forest structure, particularly large tree biomass. The strength of the association between large lianas and large trees increased with tree size class. Main conclusions: Forest structure and the availability of large trees may be more important predictors of the abundance and distribution of large lianas in African tropical forests than environmental variables and disturbance. Changing environmental conditions are likely to have little direct effect on large lianas, but climate change, defaunation and land-use activities that diminish forest structure and reduce the number of large trees could have strong indirect effects on large lianas in Central African forests.

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Published In

Global Ecology and Biogeography

DOI

EISSN

1466-8238

ISSN

1466-822X

Publication Date

April 1, 2017

Volume

26

Issue

4

Start / End Page

472 / 485

Related Subject Headings

  • Ecology
  • 4104 Environmental management
  • 4102 Ecological applications
  • 3103 Ecology
  • 0602 Ecology
  • 0501 Ecological Applications
  • 0406 Physical Geography and Environmental Geoscience
 

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MLA
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Poulsen, J. R., Koerner, S. E., Miao, Z., Medjibe, V. P., Banak, L. N., & White, L. J. T. (2017). Forest structure determines the abundance and distribution of large lianas in Gabon. Global Ecology and Biogeography, 26(4), 472–485. https://doi.org/10.1111/geb.12554
Poulsen, J. R., S. E. Koerner, Z. Miao, V. P. Medjibe, L. N. Banak, and L. J. T. White. “Forest structure determines the abundance and distribution of large lianas in Gabon.” Global Ecology and Biogeography 26, no. 4 (April 1, 2017): 472–85. https://doi.org/10.1111/geb.12554.
Poulsen JR, Koerner SE, Miao Z, Medjibe VP, Banak LN, White LJT. Forest structure determines the abundance and distribution of large lianas in Gabon. Global Ecology and Biogeography. 2017 Apr 1;26(4):472–85.
Poulsen, J. R., et al. “Forest structure determines the abundance and distribution of large lianas in Gabon.” Global Ecology and Biogeography, vol. 26, no. 4, Apr. 2017, pp. 472–85. Scopus, doi:10.1111/geb.12554.
Poulsen JR, Koerner SE, Miao Z, Medjibe VP, Banak LN, White LJT. Forest structure determines the abundance and distribution of large lianas in Gabon. Global Ecology and Biogeography. 2017 Apr 1;26(4):472–485.
Journal cover image

Published In

Global Ecology and Biogeography

DOI

EISSN

1466-8238

ISSN

1466-822X

Publication Date

April 1, 2017

Volume

26

Issue

4

Start / End Page

472 / 485

Related Subject Headings

  • Ecology
  • 4104 Environmental management
  • 4102 Ecological applications
  • 3103 Ecology
  • 0602 Ecology
  • 0501 Ecological Applications
  • 0406 Physical Geography and Environmental Geoscience