Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Nanjing 210042, China.
College of Geography Science, Nanjing Normal University, Nanjing 210023, China; State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing Normal University, Nanjing 210023, China; Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China.
Sci Total Environ. 2022 Aug 15;834:155086. doi: 10.1016/j.scitotenv.2022.155086. Epub 2022 Apr 8.
Substantial evidence suggests a widespread increase in global vegetation gross primary production (GPP) since the 1980s. If the increasing trend of GPP remains unchanged in the future, it is considered to be the persistence of increasing GPP. However, it is still unknown whether the vegetation increasing GPP is persistent under the interactive effects of climate change and land use changes in Northwest China. Using the Mann-Kendall and boosted regression tree models, we constructed the relationship between the increasing GPP and environmental variables, and further explored its persistence under the interactions between climate change and land use changes under SSP245 and SSP585 scenarios. The results indicated that: (1) Land use change (8.01%) was the most important variable for the increasing GPP. The surface net solar radiation (6.79%), and maximum temperature of the warmest month (6.78%) were also very important. Moreover, mean temperature of the warmest quarter had strong interactions with mean precipitation of the warmest quarter (9.82%) and land use change (8.24%). (2) Under the SSP245 scenario, the persistence of increasing GPP accounted for 65.06% of the area in 2100, mainly located in Qinghai, Ningxia, and Shaanxi, while it only accounted for 19.50% under the SSP585 scenario. (3) The SSP245 scenario moderate warming leads to a slight ecosystem benefit, with more areas developing an increase in GPP due to climate and land use change factors. On the other hand, under SSP585 scenario, there are widespread losses of increasing GPP, driven largely by climate change, while ecological engineering is conducive to the persistence of increasing GPP in southern Qinghai. The results highlight the importance of the interactive effects of climate change and land use changes for predicting the persistence of vegetation change.
大量证据表明,自 20 世纪 80 年代以来,全球植被总初级生产力(GPP)普遍增加。如果未来 GPP 的增长趋势保持不变,则认为 GPP 持续增加。然而,目前尚不清楚在气候变化和土地利用变化的交互作用下,中国西北地区的植被 GPP 是否持续增加。本研究利用 Mann-Kendall 和 Boosted Regression Tree 模型,构建了 GPP 增加与环境变量之间的关系,并进一步探讨了在 SSP245 和 SSP585 情景下,气候变化和土地利用变化的交互作用下 GPP 持续增加的可能性。结果表明:(1)土地利用变化(8.01%)是 GPP 增加的最重要变量。地表净太阳辐射(6.79%)和最热月最高温度(6.78%)也非常重要。此外,最暖季度平均温度与最暖季度平均降水(9.82%)和土地利用变化(8.24%)之间存在强烈的相互作用。(2)在 SSP245 情景下,2100 年持续增加 GPP 的区域占比为 65.06%,主要分布在青海、宁夏和陕西,而在 SSP585 情景下仅占 19.50%。(3)SSP245 情景下的中度变暖导致生态系统效益略有增加,由于气候和土地利用变化因素,更多地区的 GPP 增加。另一方面,在 SSP585 情景下,由于气候变化,广泛存在 GPP 减少的情况,而生态工程有利于青海南部 GPP 的持续增加。研究结果强调了气候变化和土地利用变化的交互作用对于预测植被变化的持续性的重要性。