Global warming; Greenhouse gases emissions; Land use; Quality evaluation; Spatiotemporal effects; Agricultural land; CH 4; Greenhouse gas emissions; Greenhouses gas; Land conversion; Landuse change; Meta-analysis; Spatial effect; Environmental Engineering; Environmental Chemistry; Waste Management and Disposal; Pollution
Abstract :
[en] Greenhouse gases (GHG) have extensive environmental effects by trapping heat and causing climate change and air pollution. Land plays a key role in the global cycles of GHG (i.e., carbon dioxide (CO2), methane (CH4), and nitrogen oxide (N2O)), and land use change (LUC) can lead to the release of such gases into the atmosphere or the removal of them from the atmosphere. One of the most common forms of LUC is agricultural land conversion (ALC) where agricultural lands are converted for other uses. This study aimed to review 51 original papers from 1990 to 2020 that investigate the contribution of ALC to GHG emissions from a spatiotemporal perspective using a meta-analysis method. The results of spatiotemporal effects on GHG emissions showed that the effects were significant. The emissions were affected by different continent regions representing the spatial effects. The most significant spatial effect was relevant to African and Asian countries. In addition, the quadratic relationship between ALC and GHG emissions had the highest significant coefficients, showing an upward concave curve. Therefore, increasing ALC to more than 8 % of available land led to increasing GHG emissions during the economic development process. The implications of the current study are important for policymakers from two perspectives. First, to achieve sustainable economic development, policymaking should prevent the conversion of more than 90 % of agricultural land to other uses based on the turning point of the second model. Second, policies to control global GHG emissions should take into account spatial effects (e.g., continental Africa and Asia), which show the highest contribution to GHG emissions.
Disciplines :
Agriculture & agronomy
Author, co-author :
Huang, Shansong; Faculty of Applied Science, The University of British Columbia, Vancouver, BC, Canada
Azadi, Hossein ; Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement
Movahhed Moghaddam, Saghi; Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
Viira, Ants-Hannes; Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartu, Estonia
Janečková, Kristina; Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
Sklenička, Petr; Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
Lopez-Carr, David; Department of Geography, University of California, Santa Barbara, United States
Köhl, Michael; Center for Earth System Research & Sustainability (CEN), World Forestry, University of Hamburg, Hamburg, Germany
Kurban, Alishir; State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, Xinjiang, 830011, China, Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, Xinjiang, 830011, China, University of Chinese Academy of Sciences, Beijing 100049, China, Sino-Belgian Joint Laboratory for Geo-Information, Urumqi, 830011 China, Sino-Belgian Joint Laboratory for Geo-Information, Ghent, B-9000, Belgium. Electronic address: alishir@ms.xjb.ac.cn
Language :
English
Title :
Contribution of agricultural land conversion to global GHG emissions: A meta-analysis.
Chinese Academy of Sciences [CN] ČZU - Ceska Zemedelska Univerzita v Praze [CZ] NSCF - National Natural Science Foundation of China [CN]
Funding text :
This work was partly supported by the Internal Grant Agency of the Faculty of Environmental Sciences, Czech University of Life Sciences Prague (project No. 2022B0008 ); National Natural Science Foundation of China (Grant Number: 32071655 ; 42230708 ); Chinese Academy of Sciences President's International Fellowship Initiative, PIFI (Grant Number: 2021VCA0004 ).
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