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Erschienen in: Mitigation and Adaptation Strategies for Global Change 4/2020

20.06.2019 | Original Article

Plant trees for the planet: the potential of forests for climate change mitigation and the major drivers of national forest area

verfasst von: Sebastian Mader

Erschienen in: Mitigation and Adaptation Strategies for Global Change | Ausgabe 4/2020

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Abstract

Forests are one of the most cost-effective ways to sequester carbon today. Here, I estimate the world’s land share under forests required to prevent dangerous climate change. For this, I combine newest longitudinal data of FLUXNET on forests’ net ecosystem exchange of carbon (NEE) from 78 forest sites (N = 607) with countries’ mean temperature and forest area. This straightforward approach indicates that the world’s forests sequester 8.3 GtCO2year−1. For the 2 °C climate target, the current forest land share has to be doubled to 60.0% to sequester an additional 7.8 GtCO2year−1, which demands less red meat consumption. This afforestation/reforestation (AR) challenge is achievable, as the estimated global biophysical potential of AR is 8.0 GtCO2year−1 safeguarding food supply for 10 billion people. Climate-responsible countries have the highest AR potential. For effective climate policies, knowledge on the major drivers of forest area is crucial. Enhancing information here, I analyze forest land share data of 98 countries from 1990 to 2015 applying causal inference (N = 2494). The results highlight that population growth, industrialization, and increasing temperature reduce forest land share, while more protected forest and economic growth generally increase it. In all, this study confirms the potential of AR for climate change mitigation with a straightforward approach based on the direct measurement of NEE. This might provide a more valid picture given the shortcomings of indirect carbon stock-based inventories. The analysis identifies future regional hotspots for the AR potential and informs the need for fast and forceful action to prevent dangerous climate change.
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Fußnoten
1
Results from the simulations of the Dynamic Global Vegetation Model (DGVM) Community Land Model (CLM) version 4.5 (Oleson et al. 2013; Table SI 8 in Grassi et al. 2018);
 
2
This Dynamic Global Vegetation Model (DGVM) could be considered one of the most elaborate DGVMs as it comprises the most relevant ecological characteristics as compared to other commonly used DGVMs (Table SI 7 in Grassi et al. 2018).
 
3
Moreover, in the FE regression of population (N = 2504, n = 98), the elasticity of agricultural land is 0.49 (p < 0.001). Together with the results of the models 1 and 2 of Fig. 4, this suggests that population growth mediates the relationship between agricultural expansion and forest loss.
 
4
The partial residual plot for GDP of a penalized splines FE regression (Ruppert et al. 2003) adequately modelling non-linearities confirms this, too (Figure S2 in Supplementary Figures and Tables).
 
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Metadaten
Titel
Plant trees for the planet: the potential of forests for climate change mitigation and the major drivers of national forest area
verfasst von
Sebastian Mader
Publikationsdatum
20.06.2019
Verlag
Springer Netherlands
Erschienen in
Mitigation and Adaptation Strategies for Global Change / Ausgabe 4/2020
Print ISSN: 1381-2386
Elektronische ISSN: 1573-1596
DOI
https://doi.org/10.1007/s11027-019-09875-4

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