scholarly journals Unexpectedly large impact of forest management and grazing on global vegetation biomass

Nature ◽  
2017 ◽  
Vol 553 (7686) ◽  
pp. 73-76 ◽  
Author(s):  
Karl-Heinz Erb ◽  
Thomas Kastner ◽  
Christoph Plutzar ◽  
Anna Liza S. Bais ◽  
Nuno Carvalhais ◽  
...  
Keyword(s):  
Forest Management ◽  
Large Impact ◽  
Vegetation Biomass ◽  
Global Vegetation

scholarly journals Global vegetation biomass production efficiency constrained by models and observations

2019 ◽  
Vol 26 (3) ◽  
pp. 1474-1484 ◽  
Author(s):  
Yue He ◽  
Shushi Peng ◽  
Yongwen Liu ◽  
Xiangyi Li ◽  
Kai Wang ◽  
...  
Keyword(s):  
Biomass Production ◽  
Production Efficiency ◽  
Vegetation Biomass ◽  
Global Vegetation

Modelling forest management within a global vegetation model—Part 1: Model structure and general behaviour

2010 ◽  
Vol 221 (20) ◽  
pp. 2458-2474 ◽  
Author(s):  
V. Bellassen ◽  
G. Le Maire ◽  
J.F. Dhôte ◽  
P. Ciais ◽  
N. Viovy
Keyword(s):  
Forest Management ◽  
Model Structure ◽  
Vegetation Model ◽  
General Behaviour ◽  
Global Vegetation

Global vegetation biomass change (1988-2008) and attribution to environmental and human drivers

2012 ◽  
Vol 22 (6) ◽  
pp. 692-705 ◽  
Author(s):  
Yi Y. Liu ◽  
Albert I. J. M. van Dijk ◽  
Matthew F. McCabe ◽  
Jason P. Evans ◽  
Richard A. M. de Jeu
Keyword(s):  
Vegetation Biomass ◽  
Global Vegetation

scholarly journals Accounting for forest age in the tile-based dynamic global vegetation model JSBACH4 (4.20p7; git feature/forests) – a land surface model for the ICON-ESM

2019 ◽  
Author(s):  
Julia E. M. S. Nabel ◽  
Kim Naudts ◽  
Julia Pongratz
Keyword(s):  
Forest Management ◽  
Land Surface ◽  
Gross Primary Production ◽  
Surface Model ◽  
Forest Age ◽  
Age Classes ◽  
Dynamic Global Vegetation Model ◽  
Area Index ◽  
Global Vegetation ◽  
Age Structures

Abstract. Natural and anthropogenic disturbances, in particular forest management, affect forest age-structures all around the globe. Forest age-structures in turn influence biophysical and biogeochemical interactions of the vegetation with the atmosphere. Yet, many dynamic global vegetation models (DGVMs), including those used as land surface models (LSMs) in Earth system models (ESMs), do not account for subgrid forest age structures, despite being used to investigate land-use effects on the global carbon budget or simulating land–atmosphere interactions. In this paper we present a new scheme to introduce forest age-classes in hierarchical tile-based DGVMs combining benefits of recently applied approaches. Our scheme combines a computationally efficient age-dependent simulation of all relevant processes, such as photosynthesis and respiration, without loosing the information about the exact forest age, which is a prerequisite for the implementation of age-based forest management. This combination is achieved by using the hierarchy to track the area fraction for each age on an aggregated plant functional type level, whilst simulating the relevant processes for a set of age-classes. We describe how we implemented this scheme in JSBACH4, the LSM of the ICON-ESM. Subsequently, we compare simulation output against global observation-based products for gross primary production, leaf area index and above-ground biomass to assess the ability of simulations with and without age-classes to reproduce the annual cycle and large-scale spatial patterns of these variables. The comparisons show differences exponentially decreasing with the number of distinguished age-classes and linearly increasing computation costs. The results demonstrate the benefit of the introduction of age-classes, with the optimal number of age-classes being a compromise between computation costs and accuracy.

scholarly journals Accounting for forest age in the tile-based dynamic global vegetation model JSBACH4 (4.20p7; git feature/forests) – a land surface model for the ICON-ESM

2020 ◽  
Vol 13 (1) ◽  
pp. 185-200 ◽  
Author(s):  
Julia E. M. S. Nabel ◽  
Kim Naudts ◽  
Julia Pongratz
Keyword(s):  
Forest Management ◽  
Land Surface ◽  
Surface Model ◽  
Earth System ◽  
Forest Age ◽  
Age Classes ◽  
Dynamic Global Vegetation Model ◽  
Area Index ◽  
Global Vegetation ◽  
Age Structures

Abstract. Natural and anthropogenic disturbances, in particular forest management, affect forest age structures all around the globe. Forest age structures in turn influence key land surface processes, such as photosynthesis and thus the carbon cycle. Yet, many dynamic global vegetation models (DGVMs), including those used as land surface models (LSMs) in Earth system models (ESMs), do not account for subgrid forest age structures, despite being used to investigate land-use effects on the global carbon budget or simulating biogeochemical responses to climate change. In this paper we present a new scheme to introduce forest age classes in hierarchical tile-based DGVMs combining benefits of recently applied approaches the first being a computationally efficient age-dependent simulation of all relevant processes, such as photosynthesis and respiration, using a restricted number of age classes and the second being the tracking of the exact forest age, which is a prerequisite for any implementation of age-based forest management. This combination is achieved by using the tile hierarchy to track the area fraction for each age on an aggregated plant functional type level, whilst simulating the relevant processes for a set of age classes. We describe how we implemented this scheme in JSBACH4, the LSM of the ICOsahedral Non-hydrostatic Earth system model (ICON-ESM). Subsequently, we compare simulation output to global observation-based products for gross primary production, leaf area index, and above-ground biomass to assess the ability of simulations with and without age classes to reproduce the annual cycle and large-scale spatial patterns of these variables. The comparisons show decreasing differences and increasing computation costs with an increasing number of distinguished age classes. The results demonstrate the benefit of the introduction of age classes, with the optimal number of age classes being a compromise between computation costs and error reduction.

scholarly journals Modelling forest management within a global vegetation model—Part 2: Model validation from a tree to a continental scale

2011 ◽  
Vol 222 (1) ◽  
pp. 57-75 ◽  
Author(s):  
V. Bellassen ◽  
G. le Maire ◽  
O. Guin ◽  
J.F. Dhôte ◽  
P. Ciais ◽  
...  
Keyword(s):  
Forest Management ◽  
Model Validation ◽  
Vegetation Model ◽  
Continental Scale ◽  
Global Vegetation

Effect of Vegetation Biomass on Emissivity of Loam Soil

2012 ◽  
Vol 2 (4) ◽  
pp. 61-62
Author(s):  
Arun Sharma ◽  
◽  
K.C. Pancholi K.C. Pancholi
Keyword(s):  
Vegetation Biomass ◽  
Loam Soil
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