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P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production
P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production
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P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production

Stocker, Benjamin D ; Wang, Han ; Smith, Nicholas G ; Harrison, Sandy P ; Keenan, Trevor F ; Sandoval, David ; Davis, Tyler ; Prentice, I. Colin

Geoscientific model development, 2020-03, Vol.13 (3), p.1545-1581 [Periódico revisado por pares]

United States: Copernicus GmbH

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Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence
Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence
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Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence

Alemohammad, Seyed Hamed ; Fang, Bin ; Konings, Alexandra G ; Aires, Filipe ; Green, Julia K ; Kolassa, Jana ; Miralles, Diego ; Prigent, Catherine ; Gentine, Pierre

Biogeosciences, 2017-09, Vol.14 (18), p.4101-4124 [Periódico revisado por pares]

Germany: Copernicus GmbH

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3
A Simple Model for Algal Photosynthesis for Better Light Utilization with Flashing Light
A Simple Model for Algal Photosynthesis for Better Light Utilization with Flashing Light
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A Simple Model for Algal Photosynthesis for Better Light Utilization with Flashing Light

Mahulkar, Amit ; Patil, Smita ; Khopkar, Avinash ; Kirdat, Nitin ; Banerjee, Arun ; Griffin, Thomas ; Sapre, Ajit

Bioenergy research, 2023-09, Vol.16 (3), p.1801-1815 [Periódico revisado por pares]

New York: Springer US

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4
Characterizing Peatland Microtopography Using Gradient and Microform-Based Approaches
Characterizing Peatland Microtopography Using Gradient and Microform-Based Approaches
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Characterizing Peatland Microtopography Using Gradient and Microform-Based Approaches

Graham, Jake D. ; Glenn, Nancy F. ; Spaete, Lucas P. ; Hanson, Paul J.

Ecosystems (New York), 2020-11, Vol.23 (7), p.1464-1480 [Periódico revisado por pares]

New York: Springer Science + Business Media

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5
Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES)
Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES)
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Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES)

Massoud, Elias C ; Xu, Chonggang ; Fisher, Rosie A ; Knox, Ryan G ; Walker, Anthony P ; Serbin, Shawn P ; Christoffersen, Bradley O ; Holm, Jennifer A ; Kueppers, Lara M ; Ricciuto, Daniel M ; Wei, Liang ; Johnson, Daniel J ; Chambers, Jeffrey Q ; Koven, Charlie D ; McDowell, Nate G ; Vrugt, Jasper A

Geoscientific Model Development, 2019-09, Vol.12 (9), p.4133-4164 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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6
Enhanced Land-Cover Classification through a Multi-Stage Classification Strategy Integrating LiDAR and SIF Data
Enhanced Land-Cover Classification through a Multi-Stage Classification Strategy Integrating LiDAR and SIF Data
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Enhanced Land-Cover Classification through a Multi-Stage Classification Strategy Integrating LiDAR and SIF Data

Wang, Ailing ; Shi, Shuo ; Man, Weihui ; Qu, Fangfang

Remote sensing (Basel, Switzerland), 2024-06, Vol.16 (11), p.1916 [Periódico revisado por pares]

Basel: MDPI AG

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7
Climate controls over ecosystem metabolism: insights from a fifteen-year inductive artificial neural network synthesis for a subalpine forest
Climate controls over ecosystem metabolism: insights from a fifteen-year inductive artificial neural network synthesis for a subalpine forest
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Climate controls over ecosystem metabolism: insights from a fifteen-year inductive artificial neural network synthesis for a subalpine forest

Albert, Loren P. ; Keenan, Trevor F. ; Burns, Sean P. ; Huxman, Travis E. ; Monson, Russell K.

Oecologia, 2017-05, Vol.184 (1), p.25-41 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Science + Business Media

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8
Use of Remote Sensing and Biogeochemical Modeling to Simulate the Impact of Climatic and Anthropogenic Factors on Forest Carbon Fluxes
Use of Remote Sensing and Biogeochemical Modeling to Simulate the Impact of Climatic and Anthropogenic Factors on Forest Carbon Fluxes
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Use of Remote Sensing and Biogeochemical Modeling to Simulate the Impact of Climatic and Anthropogenic Factors on Forest Carbon Fluxes

Chiesi, Marta ; Fibbi, Luca ; Vanucci, Silvana ; Maselli, Fabio

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (2), p.232 [Periódico revisado por pares]

Basel: MDPI AG

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9
Association Analysis of the Spatial and Temporal Changes in Vegetation Photosynthesis Levels with Land Cover Changes in China Based on Solar-Induced Fluorescence
Association Analysis of the Spatial and Temporal Changes in Vegetation Photosynthesis Levels with Land Cover Changes in China Based on Solar-Induced Fluorescence
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Association Analysis of the Spatial and Temporal Changes in Vegetation Photosynthesis Levels with Land Cover Changes in China Based on Solar-Induced Fluorescence

Liao, Weihua ; Wei, Yifang ; Huang, Shengxia ; Wei, Zhiyan ; Hu, Xingwang

Sustainability, 2024-06, Vol.16 (12), p.5107 [Periódico revisado por pares]

Basel: MDPI AG

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10
Effects of Polyethylene and Heavy Metal Cadmium on the Growth and Development of Brassica chinensis var. chinensis
Effects of Polyethylene and Heavy Metal Cadmium on the Growth and Development of Brassica chinensis var. chinensis
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Effects of Polyethylene and Heavy Metal Cadmium on the Growth and Development of Brassica chinensis var. chinensis

Cui, Yuanyuan ; Zhang, Qiaoying ; Liu, Peng ; Zhang, Yunchun

Water, air, and soil pollution, 2022-10, Vol.233 (10), Article 426 [Periódico revisado por pares]

Cham: Springer International Publishing

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