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Selaya2010

Daniel Falster edited this page Nov 25, 2014 · 1 revision

Report for study: Selaya2010

Contact Information

Data contributor: Niels Anten, N. Galia Selaya

Email: [email protected], [email protected]

Address:

  • Centre for Crop Systems Analysis, Wageningen UR, The Netherlands
  • PROMAB: Programa de Manejo de Bosques de la Amazonia Boliviana, Riberalta, Bolivia

Data source

Citation: Selaya NG and Anten NPR (2010). 'Leaves of pioneer and later-successional trees have similar lifetime carbon gain in tropical secondary forest.' Ecology, 91, pp. 1102-1113.

DOI: 10.1890/08-2111.1

Abstract: Different life history strategies among tropical rain forest species are generally related to inherent trade-offs in leaf and crown traits, with early-successional species having traits that facilitate high productivity but a relatively wasteful use of resources and shade-tolerant later-successional species exhibiting the opposite strategy. But the degree to which these trait differences contribute to short- and long-term carbon gain of different species that coexist in natural forest has not been quantitatively scaled. We applied a canopy model in combination with measurements of canopy structure, mass distribution, and leaf photosynthesis to determine whole-plant daily photosynthesis (Ppl) of individuals of three short-lived pioneers (SLP), four later-successional species, and three lianas growing together in a 0.5-, 2-, and 3-yr-old secondary tropical forest stand. Whole-plant daily photosynthesis per unit leaf mass (Plfm) and aboveground mass (Pm) were assumed to indicate daily returns on investment at the leaf and crown level. By integrating these calculations with measured leaf longevities, we determined the lifetime carbon gain per unit leaf mass. Vegetation height and leaf area index increased with stand age. Two of the SLPs, Trema and Ochroma, increasingly dominated the top of the vegetation. In the 0.5-yr-old stand, these species also had the highest Pm and Plfm values. Whole-plant daily photosynthesis per unit leaf mass tended to decline with stand age but much more strongly so in the later-successional species than in the SLP. Leaf longevity was not significantly correlated with individual leaf traits (e.g., specific leaf area or leaf N content) but was strongly and negatively correlated with Plfm in the youngest stand. Later-successional species had considerably greater leaf longevities than SLP. Lifetime carbon gain per unit leaf mass, however, was relatively similar between the different species. Thus due to the strong negative correlation that exists between daily leaf productivity (Plfm) and longevity, short-lived pioneers and later-successional species achieve similar lifetime carbon gain per unit leaf mass in natural secondary forest. This could help explain why the slower-growing later-successional species are able to persist during the first years of succession.

Overview of data provided

The dataset includes records for 630 individuals from 10 species belonging to 9 family(ies), presenting 1 functional type(s), growing in 1 condition(s) within 1 major type(s) of habitat, with data included for the following variables:

Variable Label Units N Min Median Max
latitude Latitude deg 630 -11 -11 -11
longitude Longitude deg 630 -66 -66 -66
age Age yr 630 0.5 2 4
a.lf Leaf area m2 592 0.0051 0.3 14
a.stbh Stem area at breast height m2 590 0.0000023 0.000069 0.015
h.t Height m 594 0.08 1.3 9.9
h.c Height to crown base m 578 0 0.29 7.4
d.bh Dbh m 590 0.0017 0.0094 0.14
h.bh Height of d.bh measurement m 630 1.3 1.3 1.3
c.d Crown depth m 578 0.03 0.76 7
m.lf Leaf mass kg 596 0.00027 0.018 0.89
m.st Total stem mass kg 596 0.000087 0.028 11
m.so Aboveground mass kg 596 0.00036 0.048 11
m.br Branch mass kg 278 0 0.0052 1.1
a.ilf Area of individual leaf m2 630 0.0027 0.0064 0.15
ma.ilf Leaf mass per area kg m-2 573 0.027 0.062 0.13
r.st Wood density kg m-3 261 81 403 978
n.lf Leaf [nitrogen] kg kg-1 473 0.01 0.022 0.039

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And locally within the country:

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The sites sampled are:

Location Longitude Latitude Vegetation
Riberalta, Bolivian Amazon -66 -11 Tropical rainforest

The growing conditions of sampled plants was:

Location Grouping growingCondition
Riberalta, Bolivian Amazon grouping = secondary forest 6 mo plantation unmanaged
Riberalta, Bolivian Amazon grouping = secondary forest 2 yo plantation unmanaged
Riberalta, Bolivian Amazon grouping = secondary forest 3 yo plantation unmanaged
Riberalta, Bolivian Amazon grouping = secondary forest 4 yo plantation unmanaged

Species sampled

Species Family Pft
Trema micrantha Ulmaceae evergreen angiosperm
Ochroma pyramidale Malvaceae evergreen angiosperm
Cecropia ficifolia Urticaceae evergreen angiosperm
Couratari guianensis Lecythidaceae evergreen angiosperm
Rinereocarpus uleii Violaceae evergreen angiosperm
Brosimum lactescens Moraceae evergreen angiosperm
Pseudolmedia laevis Moraceae evergreen angiosperm
Adenocalymma impressum Bignoniaceae evergreen angiosperm
Combretum gracilis Combretacea evergreen angiosperm
Uncaria guianensis Rubiaceae evergreen angiosperm

Methods used

Sampling strategy: A plot of 0.7 ha was established in a 0.5, 2 and 3 y/o secondary forest at a minimal distance of 20 m from the edge of this forest stand (beyond this there was primary forest). Ten to 20 individuals (all had grown from seed) per species were selected such that bracketed the height range at which each occurred in the plot.

Leaf area: Digital photographs of representative leaves were taken and scanned for leaf area using the software Sigma Scan Pro 5. The leaves were then dried at 70oC for 5 days to obtain SLA. Specific leaf area was used to calculate total leaf area.

Stem cross sectional area: Calculated from diameter measurements at .3 and 1.3 m height

Height: Destructively : trees were cut at the base allowing direct height measurements

Crown area: Crown diameter was measured visually in two directions

Biomass: Individuals were harvested and clipped into 25 cm sections. Stem branches, petioles and foliage were put in separate bags and dried at 70oC for 5 days.

Traits: Wood density: green volume by water displacement and then dry weight; Leaf angle using protractor; Leaf N content with Kjehldahl method; Tree LAI measured with a LI2000.

Growth environment: Light measurements using quantum sensors and relative light distribution in the canopy calculated from the leaf area distribution measured using the point method (i.e. raising a telescopic pole and counting leaf contacts)

Year collected: 2003

Plots of data

This is how the study Selaya2010 fits in the entire dataset (grey). each colour represents a species. A legend of species names with colours is included at the end for reports with 1 < n < 20 species.

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