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Frequency of biomass components predicted by the model to be affected by the 102 cut sets identified.

Lotte Jelsbak (168171)
Hassan Hartman (592088)
Casper Schroll (592089)
Jesper T. Rosenkrantz (113189)
Sebastien Lemire (5655814)
Inke Wallrodt (168175)
Line E. Thomsen (441781)
Mark Poolman (592090)
Mogens Kilstrup (102020)
Peter R. Jensen (27926)
John E. Olsen (113197)

Publication date

July 2014

DOI

10.1371/journal.pone.0101869.g001

Abstract

<p>Frequency of biomass components predicted by the model to be affected by the 102 cut sets identified.</p

Extracted data

Related items

The biomass density changes (%) observed for all modeled functional groups at the end of the second bottom-up forcing scenario.

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<p>The biomass density changes (%) observed for all modeled functional groups at the end of the seco...

Frequency referring to the dimension (<i>t</i>) of the model accepted during the RJMCMC process (real data).

Carlos Pereira da Silva (7300925)
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January 2023

Frequency referring to the dimension (t) of the model accepted during the RJMCMC process (real data)...

The biomass density changes (%) observed for all modelled functional groups at the end of the first bottom-up forcing scenario.

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<p>The biomass density changes (%) observed for all modelled functional groups at the end of the fir...

Frequencies of the incorrect and correct solution relative to the completion of the model.

Jan Kiesewetter (444175)
René Ebersbach (444176)
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August 2013

<p>Frequencies of the incorrect and correct solution relative to the completion of the model.</p

Frequencies of the composite models created on the closed-ended responses.

Fabio Meloni (751136)
Stefano Federici (617338)
John Lawrence Dennis (617339)

June 2015

<p>Frequencies of the composite models created on the closed-ended responses.</p

Frequency of selected linear models according to their MSE within 1000 modelling repeats.

Reda Rawi (391865)
Mohamed El Anbari (686681)
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January 2015

<p>Frequency of selected linear models according to their MSE within 1000 modelling repeats.</p

The range of change in parameter values over which the model prediction of aquatic plant biomass was within ±5% of the observed field data.

Kevin A. Wood (285203)
Richard A. Stillman (285204)
Francis Daunt (264478)
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July 2014

<p>The range of change in parameter values over which the model prediction of aquatic plant biomass ...

Contribution of the individual components to the forecasting model.

Douglas Teodoro (407129)
Christian Lovis (407130)

April 2013

<p>While low frequency components improve the prediction accuracy, high frequency components worsen ...

Frequency distribution of the area of species' potential distribution from the model (GAM) projections.

Natalia Tejedor Garavito (770041)
Adrian C. Newton (318920)
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<p>Frequency distribution of the area of species' potential distribution from the model (GAM) projec...

Histograms of Frequency Ratios for each causative factors in protected and non-protected forests.

Sumalika Biswas (729728)
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Kristofer Lasko (729731)
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<p>Histograms of Frequency Ratios for each causative factors in protected and non-protected forests....

<b>Macroecological rules predict how biomass scales with species richness in nature</b>

Alex Pigot (14665448)

January 2024

Data and code from Macroecological rules predict how biomass scales with species richness in nature<...

Parameter estimates and model evaluation statistics of each biomass model for the young forest.

Yang Xue (166928)
Zhongyang Yang (2579233)
Xiaoyan Wang (8433)
Zhipan Lin (2579242)
Dunxi Li (2579236)
Shaofeng Su (2579239)

March 2016

<p>Parameter estimates and model evaluation statistics of each biomass model for the young forest.</...

Frequency distribution and fertilization measures for yield and yield components.

Zhichao Yin (5897060)
Wenyun Guo (4175893)
Huanyu Xiao (5897063)
Jie Liang (37016)
Xiyu Hao (3181485)
Naiyuan Dong (5897066)
Tingrui Leng (5897069)
Yingjie Wang (354135)
Qingyu Wang (697246)
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October 2018

Frequency distribution and fertilization measures for yield and yield components.</p

Parameter estimates and model evaluation statistics of each biomass model for the mature forest.

Yang Xue (166928)
Zhongyang Yang (2579233)
Xiaoyan Wang (8433)
Zhipan Lin (2579242)
Dunxi Li (2579236)
Shaofeng Su (2579239)

March 2016

<p>Parameter estimates and model evaluation statistics of each biomass model for the mature forest.<...

Frequency distribution of the length of the 80 overlapping genes of the dataset.

Angelo Pavesi (446675)
Alberto Vianelli (5873651)
Nicola Chirico (2050864)
Yiming Bao (275198)
Olga Blinkova (5873654)
Robert Belshaw (278263)
Andrew Firth (4516516)
David Karlin (330454)

October 2018

Frequency distribution of the length of the 80 overlapping genes of the dataset.</p

The biomass density changes (%) observed for all modeled functional groups at the end of the second bottom-up forcing scenario.

Szymon Surma (676068)
Evgeny A. Pakhomov (676069)
Tony J. Pitcher (144789)

December 2014

<p>The biomass density changes (%) observed for all modeled functional groups at the end of the seco...

Frequency referring to the dimension (<i>t</i>) of the model accepted during the RJMCMC process (real data).

Carlos Pereira da Silva (7300925)
Cristian Tiago Erazo Mendes (11355945)
Alessandra Querino da Silva (11355942)
Luciano Antonio de Oliveira (7300928)
Renzo Garcia Von Pinho (2610448)
Marcio Balestre (767559)

January 2023

Frequency referring to the dimension (t) of the model accepted during the RJMCMC process (real data)...

The biomass density changes (%) observed for all modelled functional groups at the end of the first bottom-up forcing scenario.

Szymon Surma (676068)
Evgeny A. Pakhomov (676069)
Tony J. Pitcher (144789)

December 2014

<p>The biomass density changes (%) observed for all modelled functional groups at the end of the fir...

Frequencies of the incorrect and correct solution relative to the completion of the model.

Jan Kiesewetter (444175)
René Ebersbach (444176)
Anja Görlitz (444177)
Matthias Holzer (444178)
Martin R. Fischer (444179)
Ralf Schmidmaier (444180)

August 2013

<p>Frequencies of the incorrect and correct solution relative to the completion of the model.</p

Frequencies of the composite models created on the closed-ended responses.

Fabio Meloni (751136)
Stefano Federici (617338)
John Lawrence Dennis (617339)

June 2015

<p>Frequencies of the composite models created on the closed-ended responses.</p

Frequency of selected linear models according to their MSE within 1000 modelling repeats.

Reda Rawi (391865)
Mohamed El Anbari (686681)
Halima Bensmail (10400)

January 2015

<p>Frequency of selected linear models according to their MSE within 1000 modelling repeats.</p

The range of change in parameter values over which the model prediction of aquatic plant biomass was within ±5% of the observed field data.

Kevin A. Wood (285203)
Richard A. Stillman (285204)
Francis Daunt (264478)
Matthew T. O’Hare (285205)

July 2014

<p>The range of change in parameter values over which the model prediction of aquatic plant biomass ...

Contribution of the individual components to the forecasting model.

Douglas Teodoro (407129)
Christian Lovis (407130)

April 2013

<p>While low frequency components improve the prediction accuracy, high frequency components worsen ...

Frequency distribution of the area of species' potential distribution from the model (GAM) projections.

Natalia Tejedor Garavito (770041)
Adrian C. Newton (318920)
Duncan Golicher (5661451)
Sara Oldfield (770042)

July 2015

<p>Frequency distribution of the area of species' potential distribution from the model (GAM) projec...

Histograms of Frequency Ratios for each causative factors in protected and non-protected forests.

Sumalika Biswas (729728)
Krishna Prasad Vadrevu (729729)
Zin Mar Lwin (729730)
Kristofer Lasko (729731)
Christopher O. Justice (729732)

April 2015

<p>Histograms of Frequency Ratios for each causative factors in protected and non-protected forests....

<b>Macroecological rules predict how biomass scales with species richness in nature</b>

Alex Pigot (14665448)

January 2024

Data and code from Macroecological rules predict how biomass scales with species richness in nature<...

Parameter estimates and model evaluation statistics of each biomass model for the young forest.

Yang Xue (166928)
Zhongyang Yang (2579233)
Xiaoyan Wang (8433)
Zhipan Lin (2579242)
Dunxi Li (2579236)
Shaofeng Su (2579239)

March 2016

<p>Parameter estimates and model evaluation statistics of each biomass model for the young forest.</...

Frequency distribution and fertilization measures for yield and yield components.

Zhichao Yin (5897060)
Wenyun Guo (4175893)
Huanyu Xiao (5897063)
Jie Liang (37016)
Xiyu Hao (3181485)
Naiyuan Dong (5897066)
Tingrui Leng (5897069)
Yingjie Wang (354135)
Qingyu Wang (697246)
Fengxiang Yin (3139143)

October 2018

Frequency distribution and fertilization measures for yield and yield components.</p

Parameter estimates and model evaluation statistics of each biomass model for the mature forest.

Yang Xue (166928)
Zhongyang Yang (2579233)
Xiaoyan Wang (8433)
Zhipan Lin (2579242)
Dunxi Li (2579236)
Shaofeng Su (2579239)

March 2016

<p>Parameter estimates and model evaluation statistics of each biomass model for the mature forest.<...

Frequency distribution of the length of the 80 overlapping genes of the dataset.

Angelo Pavesi (446675)
Alberto Vianelli (5873651)
Nicola Chirico (2050864)
Yiming Bao (275198)
Olga Blinkova (5873654)
Robert Belshaw (278263)
Andrew Firth (4516516)
David Karlin (330454)

October 2018

Frequency distribution of the length of the 80 overlapping genes of the dataset.</p

The biomass density changes (%) observed for all modeled functional groups at the end of the second bottom-up forcing scenario.

Szymon Surma (676068)
Evgeny A. Pakhomov (676069)
Tony J. Pitcher (144789)

December 2014

<p>The biomass density changes (%) observed for all modeled functional groups at the end of the seco...

Frequency referring to the dimension (<i>t</i>) of the model accepted during the RJMCMC process (real data).

Carlos Pereira da Silva (7300925)
Cristian Tiago Erazo Mendes (11355945)
Alessandra Querino da Silva (11355942)
Luciano Antonio de Oliveira (7300928)
Renzo Garcia Von Pinho (2610448)
Marcio Balestre (767559)

January 2023

Frequency referring to the dimension (t) of the model accepted during the RJMCMC process (real data)...

The biomass density changes (%) observed for all modelled functional groups at the end of the first bottom-up forcing scenario.

Szymon Surma (676068)
Evgeny A. Pakhomov (676069)
Tony J. Pitcher (144789)

December 2014

<p>The biomass density changes (%) observed for all modelled functional groups at the end of the fir...