Tree invasion in secondary grasslands diminishes herbaceous biomass and diversity: A study of mechanisms behind the process

Tree invasion in naturally treeless environments: Impacts of quinine (Cinchona pubescens) trees on native vegetation in Galápagos

Biological Conservation ◽

10.1016/j.biocon.2007.08.014 ◽

2007 ◽

Vol 140 (3-4) ◽

pp. 297-307 ◽

Cited By ~ 62

Author(s):

Heinke Jäger ◽

Alan Tye ◽

Ingo Kowarik

Keyword(s):

Native Vegetation ◽

Tree Invasion ◽

Cinchona Pubescens

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Molybdenum-Catalyzed Hydrogenolysis of Herbaceous Biomass: A Procedure Integrated Lignin Fragmentation and Components Fractionation

Bioresource Technology ◽

10.1016/j.biortech.2021.124977 ◽

2021 ◽

pp. 124977

Author(s):

Xue Gong ◽

Jiankui Sun ◽

Xiangya Xu ◽

Bo Wang ◽

Helong Li ◽

...

Keyword(s):

Herbaceous Biomass

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Conversion of Levulinic Acid from Various Herbaceous Biomass Species Using Hydrochloric Acid and Effects of Particle Size and Delignification

Energies ◽

10.3390/en11030621 ◽

2018 ◽

Vol 11 (3) ◽

pp. 621 ◽

Cited By ~ 4

Author(s):

◽

Keyword(s):

Particle Size ◽

Hydrochloric Acid ◽

Levulinic Acid ◽

Herbaceous Biomass

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Structures and pyrolytic characteristics of organosolv lignins from typical softwood, hardwood and herbaceous biomass

Industrial Crops and Products ◽

10.1016/j.indcrop.2021.113912 ◽

2021 ◽

Vol 171 ◽

pp. 113912

Author(s):

Ti-Peng Wang ◽

Hang Li ◽

Jiang-Meng Yuan ◽

Wen-Xin Li ◽

Kai Li ◽

...

Keyword(s):

Herbaceous Biomass

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Testing and Comparing the Applicability of Sentinel-2 and Landsat 8 Reflectance Data in Estimating Mountainous Herbaceous Biomass Before and After Fire Using Random Forest Modelling

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9323446 ◽

2020 ◽

Author(s):

Mmathapelo Semela ◽

Abel Ramoelo ◽

Samuel Adelabu

Keyword(s):

Random Forest ◽

Landsat 8 ◽

Forest Modelling ◽

Herbaceous Biomass ◽

Before And After ◽

Reflectance Data ◽

Sentinel 2

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Assessment of Perennial Grass Inventories Predicted in the Billion-Ton Studies

Transactions of the ASABE ◽

10.13031/trans.12505 ◽

2018 ◽

Vol 61 (2) ◽

pp. 331-340 ◽

Cited By ~ 1

Author(s):

Daniela Sofia Jones ◽

Stephen W. Searcy ◽

Laurence M. Eaton

Keyword(s):

Perennial Grass ◽

Geographical Location ◽

Department Of Energy ◽

Modeling Framework ◽

Local Conditions ◽

Herbaceous Biomass ◽

Precipitation Total ◽

Cropland Conversion ◽

Biomass Availability ◽

The U.S

Abstract. The U.S. Department of Energy (DOE) has estimated herbaceous biomass availability through simulations with the Policy Analysis System (POLYSYS) agricultural modeling framework. An operational assumption for POLYSYS limited conversion of pastureland to perennial grass crops to counties east of the 100th meridian as a proxy for precipitation sufficient for economically viable yield, but allowed cropland conversion regardless of location. Knowledge of local conditions raised questions about predicted biomass quantities for Texas counties in the 2011 assessment. POLYSYS was rerun with different assumptions, specifically replacing the 100th meridian boundary with annual average precipitation data and limiting cropland conversion in low-rainfall counties. Perennial grass production was found to be overestimated by 8% and 87% in the U.S. and Texas, respectively (at $66.14 DMg-1), when limiting all land conversion to regions with >635 mm precipitation. Total herbaceous biomass predicted was approximately the same as in the BT2, but the biomass geographical location changed across the nation. Texas’ biomass contribution decreased from 6% to 1% at $66.14 DMg-1 and from 16% to 11% at $88.18 DMg-1. Subsequent to this research being conducted, the DOE released the 2016 biomass inventory assessment, and these results are compared to those newest estimates. Keywords: Billion-Ton Study, Biomass, Perennial grass, Precipitation, Switchgrass.

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