Cao Min, Tian Ya, Wu Kai, Chen Min, Chen Yu, Hu Xue, Sun Zhongchang, Zuo Lijun, Lin Jian, Luo Lei, Zhu Rui, Xu Zhenci, Bandrova Temenoujka, Konecny Milan, Yuan Wenping, Guo Huadong, Lin Hui, Lü Guonian
Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China; International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.
School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
Sci Bull (Beijing). 2023 Apr 15;68(7):740-749. doi: 10.1016/j.scib.2023.03.012. Epub 2023 Mar 8.
Sustainable development goals (SDGs) in the United Nations 2030 Agenda call for action by all nations to promote economic prosperity while protecting the planet. Projection of future land-use change under SDG scenarios is a new attempt to scientifically achieve the SDGs. Herein, we proposed four scenario assumptions based on the SDGs, including the sustainable economy (ECO), sustainable grain (GRA), sustainable environment (ENV), and reference (REF) scenarios. We forecasted land-use change along the Silk Road (resolution: 300 m) and compared the impacts of urban expansion and forest conversion on terrestrial carbon pools. There were significant differences in future land use change and carbon stocks, under the four SDG scenarios, by 2030. In the ENV scenario, the trend of decreasing forest land was mitigated, and forest carbon stocks in China increased by approximately 0.60% compared to 2020. In the GRA scenario, the decreasing rate of cultivated land area has slowed down. Cultivated land area in South and Southeast Asia only shows an increasing trend in the GRA scenario, while it shows a decreasing trend in other SDG scenarios. The ECO scenario showed highest carbon losses associated with increased urban expansion. The study enhances our understanding of how SDGs can contribute to mitigate future environmental degradation via accurate simulations that can be applied on a global scale.
联合国《2030年议程》中的可持续发展目标(SDGs)呼吁各国采取行动,在保护地球的同时促进经济繁荣。在可持续发展目标情景下预测未来土地利用变化是科学实现可持续发展目标的一项新尝试。在此,我们基于可持续发展目标提出了四种情景假设,包括可持续经济(ECO)、可持续粮食(GRA)、可持续环境(ENV)和参照(REF)情景。我们预测了丝绸之路沿线的土地利用变化(分辨率:300米),并比较了城市扩张和森林转化对陆地碳库的影响。到2030年,在四种可持续发展目标情景下,未来土地利用变化和碳储量存在显著差异。在ENV情景下,林地减少的趋势得到缓解,与2020年相比,中国的森林碳储量增加了约0.60%。在GRA情景下,耕地面积的减少速度有所放缓。南亚和东南亚的耕地面积仅在GRA情景下呈增加趋势,而在其他可持续发展目标情景下呈减少趋势。ECO情景显示与城市扩张增加相关的碳损失最高。该研究通过可在全球范围内应用的精确模拟,增强了我们对可持续发展目标如何有助于减轻未来环境退化的理解。