The DOI matches its Crossref record.
Liana Biomass and Leaf Area of a "Tierra Firme" Forest in the Rio Negro Basin, Venezuela
Abstract
In evergreen tropical rain forest, growing on a nutrient-poor Oxisol (lateritic soil) near San Carlos de Rio Negro, Venezuela, the average total above-ground dry weight of lianas was 15.7 t ha-I which was 4.5 percent of the estimated above-ground forest biomass. The average leaf area index of lianas was 1.2 M2 m-2 and constituted 19 percent of total forest leaf area. In comparison to trees, liana stems are small in diameter relative to the sizes of their crowns. This difference in allometry occurs because lianas rely on other plants for support and liana stems generally have large diameter and thus efficient xylem vessels. By maintaining the conducting capacity of their vessels for longer periods of time than do trees, lianas are able to increase further their leaf biomass-stem diameter ratios. Increases in cross sectional areas of liana stems are associated with proportionately larger increases in leaf biomass than comparable increases in cross sectional areas of tree stems. LIANAS ARE WOODY CLIMBING PLANTS that typically rely on other plants for mechanical support. They are often strikingly apparent in tropical forests (Spruce 1908, Richards 1952, Longman and Jenik 1974), but little quantitative information exists on liana abundance. The present study reports liana biomass and leaf area in a tierra firme (never flooded) forest in the Rio Negro Basin near San Carlos de Rio Negro, Venezuela; Jordan and Uhl (1978) gave estimates of tree biomass in the same area. Data from destructively sampled lianas are also used to examine quantitatively the relations between stem diameter, leaf biomass, and total above-ground biomass. STUDY SITE AND METHODS The study site was in the Territorio Amazonas, Venezuela near San Carlos de Rio Negro (1?56'N, 67?03'W) at an elevation of 119 m. This area receives an average of 3500 mm of rainfall per year and average monthly rainfall exceeds 100 mm even during the dry period (January through March; Heuveldop 1977). Sampling was conducted in evergreen forest growing on a nutrient impoverished Oxisol with slopes less than 5?. Charcoal fragments found in most soil samples (Stark and Spratt 1977) suggest a history of human use (i.e., possible clearing and burning), but there was no evidence of recent clearing. Uhl and Murphy (1981) point out that low soil fertility may be responsible for the low tree basal area (28 m2 ha-'), low canopy stature (tallest trees 25-30 m), and high density of stems (232 trees >20 cm dbh per ha). The average above-ground biomass (dry weight) of living trees in the study area was 335 t ha-1 (Jordan and Uhl 1978). Global surveys of forest biomass suggest an average for tropical forests of approximately 450 trha-' (Lieth 1975). Liana abundance and size-class distribution were estimated by species in 20 randomly located 100 m2 circular sample plots. In each plot I measured the dbh (diameter at 1.3 m or above the buttresses) of every tree and liana >2 m tall, determined the species of each liana, and recorded the sizes of the trees upon which the lianas grew. Lianas <2 m tall were identified, counted, and recorded as free standing (upright) or climbing. Only lianas rooted in the plots were enumerated. Many of the underground connections between stems had undoubtedly broken and decomposed. For this reason, an individual for the purposes of this study was considered to be an independently climbing or self-supporting stem. Plants in the Araceae were not included because many species are herbaceous and grow as epiphytes or hemiepiphytes (plants that either start out or end up their lives as epiphytes). Lianas for biomass determinations were selected to represent the range of observed diameters and included only the most common species. Large lianas often pass from canopy tree to canopy tree but, by climbing several times into the canopy and cutting supporting tree branches, it was possible to extract lianas from the tree tops. As a result, lianas harvested for biomass determination are reasonably complete. On the ground all the liana leaves were removed by hand and weighed on hanging scales. I randomly selected and weighed 50 leaves from every harvested liana for subsequent determination of wet-to-dry weight conversion factors; an additional 10 leaves were randomly selected from each liana for determination of area-weight relations. To estimate stem biomass, I cut up and weighed all the stems and branches and selected small (5-10 cm long) sections of representative diameters for weight and density determinations. I Present address: Department of Botany, University of Florida, Gainesville, Florida 32611, U.S.A. BIOTROPICA 15(3): 185-189 1983 185 This content downloaded from 157.55.39.118 on Fri, 22 Apr 2016 06:20:53 UTC All use subject to http://about.jstor.org/terms TABLE 1. Lianas used in biomass regressions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Biomass Collapse in Amazonian Forest Fragments
Laurance, W. F., Laurance, S. G., Ferreira, L. V., Rankin-de Merona, J. M., Gascon, C., & Lovejoy, T. E. (1997) · Science · doi:10.1126/science.278.5340.1117 · Cited by 668
Schnitzer, S. A., & Bongers, F. (2011) · Ecology Letters · doi:10.1111/j.1461-0248.2011.01590.x · Cited by 543
Sourcebook for Land Use, Land-Use Change and Forestry Projects
Pearson, T., Walker, S., & Brown, S. (2013) · World Bank, Washington, DC eBooks · doi:10.1596/16491 · Cited by 371
Moving with climbing plants from Charles Darwin’s time into the 21st century
Isnard, S., & Silk, W. K. (2009) · American Journal of Botany · doi:10.3732/ajb.0900045 · Cited by 331
Total aboveground biomass in central Amazonian rainforests: a landscape-scale study
Nascimento, H. E. M., & Laurance, W. F. (2002) · Forest Ecology and Management · doi:10.1016/s0378-1127(01)00749-6 · Cited by 156
Metadata
- Authors
- Putz, F. E.
- Venue
- Biotropica
- Publisher
- JSTOR
- Published
- 1983-09
- Volume
- 15
- Issue
- 3
- Pages
- 185
- ISSN
- 0006-3606 (ISSN-L)
- OpenAlex
- W2327391388
- Cited by
- 327
- References
- 0
- FWCI
- 3.46
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Liana Biomass and Leaf Area of a "Tierra Firme" Forest in the Rio Negro Basin, Venezuela. https://app.cochat.ai/papers/10.2307/2387827
- The paper
- Putz, F. E. (1983). Liana Biomass and Leaf Area of a "Tierra Firme" Forest in the Rio Negro Basin, Venezuela. Biotropica. https://doi.org/10.2307/2387827
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.