Ding Qinglong, Chen Yang, Bu Lingtong, Ye Yanmei
Land Academy for National Development, Zhejiang University, Hangzhou 310029, China.
School of Business, Nanjing University, Nanjing 210093, China.
Int J Environ Res Public Health. 2021 Mar 1;18(5):2389. doi: 10.3390/ijerph18052389.
The past decades were witnessing unprecedented habitat degradation across the globe. It thus is of great significance to investigate the impacts of land use change on habitat quality in the context of rapid urbanization, particularly in developing countries. However, rare studies were conducted to predict the spatiotemporal distribution of habitat quality under multiple future land use scenarios. In this paper, we established a framework by coupling the future land use simulation (FLUS) model with the Intergrated Valuation of Environmental Services and Tradeoffs (InVEST) model. We then analyzed the habitat quality change in Dongying City in 2030 under four scenarios: business as usual (BAU), fast cultivated land expansion scenario (FCLE), ecological security scenario (ES) and sustainable development scenario (SD). We found that the land use change in Dongying City, driven by urbanization and agricultural reclamation, was mainly characterized by the transfer of cultivated land, construction land and unused land; the area of unused land was significantly reduced. While the habitat quality in Dongying City showed a degradative trend from 2009 to 2017, it will be improved from 2017 to 2030 under four scenarios. The high-quality habitat will be mainly distributed in the Yellow River Estuary and coastal areas, and the areas with low-quality habitat will be concentrated in the central and southern regions. Multi-scenario analysis shows that the SD will have the highest habitat quality, while the BAU scenario will have the lowest. It is interesting that the ES scenario fails to have the highest capacity to protect habitat quality, which may be related to the excessive saline alkali land. Appropriate reclamation of the unused land is conducive to cultivated land protection and food security, but also improving the habitat quality and giving play to the versatility and multidimensional value of the agricultural landscape. This shows that the SD of comprehensive coordination of urban development, agricultural development and ecological protection is an effective way to maintain the habitat quality and biodiversity.
过去几十年,全球栖息地退化空前严重。因此,在快速城市化背景下,尤其是在发展中国家,研究土地利用变化对栖息地质量的影响具有重要意义。然而,很少有研究预测多种未来土地利用情景下栖息地质量的时空分布。本文通过将未来土地利用模拟(FLUS)模型与生态系统服务和权衡综合评估(InVEST)模型耦合,建立了一个框架。然后,我们分析了东营市在2030年四种情景下的栖息地质量变化:照常营业(BAU)、快速耕地扩张情景(FCLE)、生态安全情景(ES)和可持续发展情景(SD)。我们发现,受城市化和农业开垦驱动,东营市的土地利用变化主要表现为耕地、建设用地和未利用地的转移;未利用地面积显著减少。虽然东营市的栖息地质量在2009年至2017年呈下降趋势,但在四种情景下,2017年至2030年将有所改善。高质量栖息地将主要分布在黄河口和沿海地区,低质量栖息地地区将集中在中部和南部地区。多情景分析表明,SD情景下的栖息地质量最高,而BAU情景下的栖息地质量最低。有趣的是,ES情景未能拥有最高的栖息地质量保护能力,这可能与盐碱地过多有关。适当开垦未利用地有利于耕地保护和粮食安全,同时也能提高栖息地质量,发挥农业景观的多功能性和多维价值。这表明,综合协调城市发展、农业发展和生态保护的可持续发展是维持栖息地质量和生物多样性的有效途径。