College of Life Sciences, Anhui Normal University, 1 East Beijing Road, Wuhu, 241000, Anhui, People's Republic of China.
Collaborative Innovation Centre of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang City Belt, Wuhu, Anhui, China.
Environ Sci Pollut Res Int. 2020 May;27(13):14915-14932. doi: 10.1007/s11356-020-08006-w. Epub 2020 Feb 14.
Net primary productivity (NPP) of terrestrial ecosystems is an important metric of ecosystem functioning; however, the understanding of response mechanism of NPP to influencing factors and driving mechanisms are still limited. In this study, taking Anhui province as an example, spatio-temporal changes of NPP and its response to influencing factors were investigated for evaluating the effects of climate change and land use and land cover change (LUCC) on regional NPP. The Carnegie-Ames-Stanford Approach (CASA) model was employed for NPP simulation by using the MODIS normalized difference vegetation index (NDVI) data and meteorological data over 2001-2016. Combined domestic LUCC, the spatiotemporal distribution pattern and dynamic change characteristics of NPP under a long time series and its response to climate factors and human activities were analyzed in the Anhui province. The results indicated that from 2001 to 2016, total NPP had a fluctuated and decreased trend with the variation range between 30.52 and 38.07 TgC in Anhui province. The multi-year average of total NPP was about 34.62 TgC. The highest value was in 2008 and the lowest value was in 2011. Among them, amount of forestland NPP was the most. The spatial distribution of NPP shows that the high value area was mainly distributed in southern Anhui mountain areas and western Anhui Dabie mountain areas; the lower value was distributed in the middle in the study area. The area of which the NPP showed a slight decrease and essentially unchanged accounted for 59.35% and 31.82%, respectively. In general, the correlation between vegetation NPP and temperature was greater than that between precipitation. The vegetations NPP of eight land use types were all positively correlated with temperature. However, the other seven types of land use were negatively correlated with precipitation except cultivated land. In the past 16 years, the decrease of cultivated land areas and the increase of urban and construction land areas contributed a lot to the decrease of vegetation NPP in Anhui province. The NPP changes of different land use types were closely related to climatic factors, land cover area, and vegetation types.
陆地生态系统的净初级生产力（NPP）是生态系统功能的一个重要指标；然而，人们对 NPP 对影响因素的响应机制的理解仍然有限。本研究以安徽省为例，调查了 NPP 的时空变化及其对影响因素的响应，以评估气候变化和土地利用/土地覆盖变化（LUCC）对区域 NPP 的影响。利用 MODIS 归一化植被指数（NDVI）数据和 2001-2016 年气象数据，采用卡内基-阿姆斯特丹-斯坦福方法（CASA）模型对 NPP 进行模拟。结合国内 LUCC，分析了安徽省在长时间序列下 NPP 的时空分布格局和动态变化特征及其对气候因子和人类活动的响应。结果表明，2001-2016 年，安徽省 NPP 呈波动下降趋势，变化范围在 30.52-38.07TgC 之间。多年平均总 NPP 约为 34.62TgC，2008 年最高，2011 年最低。其中林地 NPP 最多。NPP 的空间分布表明，高值区主要分布在皖南山区和皖西大别山区；低值区分布在研究区中部。NPP 略有减少和基本不变的面积分别占 59.35%和 31.82%。总体而言，植被 NPP 与温度的相关性大于与降水的相关性。8 种地类的植被 NPP 均与温度呈正相关。然而，除耕地外，其他 7 种地类的植被 NPP 与降水呈负相关。在过去的 16 年中，耕地面积减少和城市及建设用地面积增加对安徽省植被 NPP 的减少贡献很大。不同土地利用类型的 NPP 变化与气候因子、土地覆盖面积和植被类型密切相关。
