Data Set Citation:
When using this data, please cite the data package:
NCEAS 2017: Prince: Global Primary Production Data Initiative , Gill R , and National Center for Ecological Analysis and Synthesis.
NPP Grassland: Consistent Worldwide Site Estimates, 1954-1990
nceas.185.4 (https://knb.ecoinformatics.org:443/knb/metacat/nceas.185.4/nceas)
General Information:
Title:NPP Grassland: Consistent Worldwide Site Estimates, 1954-1990
Identifier:nceas.185
Abstract:
In many grasslands, aboveground net primary productivity (ANPP) is commonly estimated by measuring peak aboveground biomass. Estimates of belowground net primary productivity (BNPP), and consequently, total net primary productivity (NPP), are more difficult. We addressed one of the three main objectives of the Global Primary Productivity Data Initiative for grassland systems - to develop simple models or algorithms to estimate missing components of total system NPP. Any estimate of BNPP requires an accounting of total root biomass, the percentage of living biomass, and annual turnover of live roots. We derived a relationship using aboveground peak biomass and mean annual temperature as predictors of belowground biomass (r2 = 0.54; P=0.01). The percentage of live material was 0.6, based on published values. We used three different functions to describe root turnover: constant, a direct function of aboveground biomass, or as a positive exponential relationship with mean annual temperature. We tested the various models against a large database of global grassland NPP and the constant turnover and direct function models were approximately equally descriptive (r2 =0.31 and 0.37), while the exponential function had a stronger correlation with the measured values (r2=0.40) and had a better fit than the other two models at the productive end of the BNPP gradient. When applied to extensive data we assembled from two grassland sites with reliable estimates of total NPP, the direct function was most effective, especially at lower productivity sites. We provide some caveats for its use in systems that lie at the extremes of the grassland gradient and stress that there are large uncertainties associated with measured and modeled estimates of BNPP.
Keywords:none:
  • net primary productivity (theme)
none:
  • grassland (place)

Involved Parties

Data Set Creators:
Organization:NCEAS 2017: Prince: Global Primary Production Data Initiative
Individual: R. A. Gill
Address:
Department of Biology Duke University Box 90340,
Durham, North Carolina 27708 USA
Phone:
(919) 660-7290 (voice)
Phone:
(919) 660-7425 (Fax)
Email Address:
rgill@duke.edu
Organization:National Center for Ecological Analysis and Synthesis
Data Set Contacts:
Individual: R. A. Gill
Address:
Department of Biology Duke University Box 90340,
Durham, North Carolina 27708 USA
Phone:
(919) 660-7290 (voice)
Phone:
(919) 660-7425 (Fax)
Email Address:
rgill@duke.edu
Associated Parties:
Individual: R. H. Kelly
Individual: W. J. Parton
Individual: K. A. Day
Individual: R. B. Jackson
Individual: J. A. Morgan
Individual: J. M. O. Scurlock
Individual: L. L. Tieszen
Individual: J. V. Castle
Individual: D. S. Ojima
Individual: X. S. Zhang
Metadata Providers:
Individual: Andrea Chadden

Data Set Characteristics

Geographic Region:
Geographic Description:Various locations worldwide.
Bounding Coordinates:
West:  -180  degrees
East:  180  degrees
North:  90  degrees
South:  -90  degrees
Time Period:
Begin:
1954-01-01
End:
1990-01-01

Sampling, Processing and Quality Control Methods

Data Set Usage Rights

no restrictions
Access Control:
Auth System:knb
Order:denyFirst
Metadata download: Ecological Metadata Language (EML) File