English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Net primary production in tropical forests: An evaluation and synthesis of existing field data

Clark, D. A., Brown, S., Kicklighter, D. W., Chambers, J. Q., Thomlinson, J. R., Ni, J., et al. (2001). Net primary production in tropical forests: An evaluation and synthesis of existing field data. Ecological Applications, 11(2), 371-384.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000E-E214-0 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-000E-E215-E
Genre: Journal Article

Files

show Files
hide Files
:
BGC0328.pdf (Publisher version), 270KB
 
File Permalink:
-
Name:
BGC0328.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/octet-stream
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Clark, D. A., Author
Brown, S., Author
Kicklighter, D. W., Author
Chambers, J. Q., Author
Thomlinson, J. R., Author
Ni, J.1, Author              
Holland, E. A.1, Author              
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: Biomass increment Carbon budgets Forest inventory plots Litterfall Net primary production Tropical dry, moist or montane forests Comparing global-models Montane rain forests Carbon-dioxide Puerto-rico Fine-root Climate variability Ecosystem dynamics Luquillo mountains Amazonian forests Deciduous forest
 Abstract: Information on net primary production in tropical forests is needed for the development of realistic global carbon budgets, for projecting how these ecosystems will be affected by climatic and atmospheric changes, and for evaluating eddy covariance measurements of tropical forest carbon flux. However, a review of the database commonly used to address these issues shows that it has serious flaws. In this paper we synthesize the data in the primary literature on NPP in old-growth tropical forests to produce a consistent data set on NPP for these forests. Studies in this biome have addressed only a few NPP components, all aboveground. Given the limited scope of the direct field measurements, we sought relationships in the existing data that allow estimation of unmeasured aspects of production from those that are more easily assessed. We found a predictive relationship between annual litterfall and aboveground biomass increment. For 39 diverse tropical forest sites, we then developed consistent, documented estimates of the upper and lower bounds around total NPP to serve as benchmarks for calibrating and validating biogeochemical models with respect to this biome. We developed these estimates based on existing field measurements, current understanding of aboveground consumption and biogenic volatile organic carbon emissions, and our judgment that belowground production is bounded by the range 0.2-1.2 x ANPP (aboveground NPP). Across this broad spectrum of tropical forests (dry to wet, lowland to montane, nutrient-rich to nutrient-poor soils), our estimates of lower and upper bounds on total NPP range from 1.7 to 11.8 Mg C.ha(-1).yr(-1) (lower bounds) and from 3.1 to 21.7 Mg C.ha(-1).yr(-1) (upper bounds). We also showed that two relationships that have been used for estimating NPP (the Bray-Gorham relationship based on leaf litterfall and the Miami model based on temperature or precipitation) are not valid for the tropical forest biome. [References: 92]

Details

show
hide
Language(s):
 Dates: 2001
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC0328
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Ecological Applications
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Tempe, AZ : Ecological Society of America
Pages: - Volume / Issue: 11 (2) Sequence Number: - Start / End Page: 371 - 384 Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/954925593483
ISSN: 1051-0761