Bryophyte responses to fragmentation in temperate coastal rainforests: A functional group approach

2007 ◽  
Vol 136 (3) ◽  
pp. 408-422 ◽  
Author(s):  
L.K. Baldwin ◽  
G.E. Bradfield
Keyword(s):  
Functional Group ◽  
Group Approach

A functional group approach reveals important fish recruitments driven by flood pulses in floodplain ecosystem

2019 ◽  
Vol 99 ◽  
pp. 130-139 ◽  
Author(s):  
Chao Wang ◽  
Zhongguan Jiang ◽  
Lizhi Zhou ◽  
Bingguo Dai ◽  
Zhuoyan Song
Keyword(s):  
Functional Group ◽  
Group Approach ◽  
Flood Pulses ◽  
Important Fish

Source of Image Contrast in STM Images of Functionalized Alkanes on Graphite:  A Systematic Functional Group Approach

1997 ◽  
Vol 101 (31) ◽  
pp. 5978-5995 ◽  
Author(s):  
Christopher L. Claypool ◽  
Francesco Faglioni ◽  
William A. Goddard ◽  
Harry B. Gray ◽  
Nathan S. Lewis ◽  
...  
Keyword(s):  
Functional Group ◽  
Image Contrast ◽  
Group Approach ◽  
Stm Images

Microbial Pathway Prediction:  A Functional Group Approach

2003 ◽  
Vol 43 (3) ◽  
pp. 1051-1057 ◽  
Author(s):  
Bo Kyeng Hou ◽  
Lawrence P. Wackett ◽  
Lynda B. M. Ellis
Keyword(s):  
Functional Group ◽  
Group Approach ◽  
Pathway Prediction

scholarly journals BFM17 v1.0: Reduced-Order Biogeochemical Flux Model for Upper Ocean Biophysical Simulations

2020 ◽  
Author(s):  
Katherine M. Smith ◽  
Skyler Kern ◽  
Peter E. Hamlington ◽  
Marco Zavatarelli ◽  
Nadia Pinardi ◽  
...  
Keyword(s):  
Organic Matter ◽  
Observational Data ◽  
Functional Group ◽  
Computational Cost ◽  
Open Ocean ◽  
Ecosystem Dynamics ◽  
Nutrient Ratios ◽  
Group Approach ◽  
Reduced Order ◽  
Flux Model

Abstract. We present a newly developed reduced-order biogeochemical flux model that is complex and flexible enough to capture open-ocean ecosystem dynamics, but reduced enough to incorporate into highly resolved numerical simulations with limited additional computational cost. The reduced-order model, which is derived from the full 56 state variable Biogeochemical Flux Model (BFM56; Vichi et al. (2007)), follows a biological and chemical functional group approach and allows for the development of critical non-Redfield nutrient ratios. Matter is expressed in units of carbon, nitrogen, and phosphate, following techniques used in more complex models. To reduce the overall computational cost and to focus on open-ocean conditions, the reduced model eliminates certain processes, such as benthic, silicate, and iron influences, and parameterizes others, such as the bacterial loop. The model explicitly tracks 17 state variables, divided into phytoplankton, zooplankton, dissolved organic matter, particulate organic matter, and nutrient groups. It is correspondingly called the Biogeochemical Flux Model 17 (BFM17). After providing a detailed description of BFM17, we couple it with the one-dimensional Princeton Ocean Model (POM) for validation using observational data from the Sargasso Sea. Results show good agreement with the observational data and with corresponding results from BFM56, including the ability to capture the subsurface chlorophyll maximum and bloom intensity. In comparison to previous reduced-order models of similar size, BFM17 provides improved correlations between model output and field data, indicating that significant improvements in the reproduction of in situ data can be achieved with a low number of variables, while maintaining the functional group approach.

scholarly journals Trophic state index validation based on the phytoplankton functional group approach in Amazon floodplain lakes

Inland Waters ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 309-319 ◽  
Author(s):  
Eudes de Oliveira Bomfim ◽  
Cleber Nunes Kraus ◽  
Maria Tereza M. P. S. Lobo ◽  
Ina de Souza Nogueira ◽  
Lucas Garcia Magalhães Peres ◽  
...  
Keyword(s):  
Trophic State ◽  
Functional Group ◽  
Floodplain Lakes ◽  
Trophic State Index ◽  
Group Approach ◽  
Amazon Floodplain ◽  
State Index
Sign in / Sign up

Export Citation Format

Share Document