Shi Xiaoliang, Shi Mengqi, Zhang Na, Wu Mengyue, Ding Hao, Li Yi, Chen Fei
College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China.
Aerial Photogrammetry and Remote Sensing Group Co., Ltd., Xi'an, 710100, China.
Environ Sci Pollut Res Int. 2023 Jan;30(2):4230-4244. doi: 10.1007/s11356-022-22505-y. Epub 2022 Aug 15.
As the primary source of carbon dioxide fixation, vegetation is critical to the carbon sink process. In this paper, the Net Primary Productivity (NPP) and the Gross Primary Productivity (GPP) were simulated using the Carnegie-Ames-Stanford Approach (CASA) model and the Vegetation Photosynthesis Model (VPM), respectively, and then the Potential Gross Primary Productivity (PGPP) and the GPP affected by human activities (AGPP) were simulated by combining Potential Net Primary Productivity (PNPP), and then the impact of climate change and human activities on GPP was assessed in the Heihe River Basin (HRB). The results showed that the GPP of grassland and Bare or Sparse Vegetation (BSV) exhibited a fluctuation rise, with increases of 0.709 gCm a and 0.115 gCm a, respectively, whereas the GPP of cropland showed a fluctuation reduction, with a decline rate of -0.465 gCm a. Climate change and human activity are both positive for vegetation growth, and human activity being the primary factor influencing GPP change. Human-dominated vegetation restoration accounted for 56.1% of the overall restoration area, with grassland GPP being the most visible response to human activities. The GPP changes in crop and grassland had a positive correlation with precipitation but a negative correlation with temperature among climate change factors, whereas the GPP changes in BSV had a negative correlation with both precipitation and temperature. Quantitative analyses of climate change and human activities' dynamic contributions to vegetation can give scientific and theoretical insight for dealing with global climate change.
作为二氧化碳固定的主要来源，植被对碳汇过程至关重要。本文分别利用卡内基-埃姆斯-斯坦福方法（CASA）模型和植被光合作用模型（VPM）模拟了净初级生产力（NPP）和总初级生产力（GPP），然后结合潜在净初级生产力（PNPP）模拟了潜在总初级生产力（PGPP）和受人类活动影响的GPP（AGPP），进而评估了气候变化和人类活动对黑河流域（HRB）GPP的影响。结果表明，草地和裸地或稀疏植被（BSV）的GPP呈波动上升趋势，分别增加了0.709 gC/m²·a和0.115 gC/m²·a，而农田的GPP呈波动下降趋势，下降速率为-0.465 gC/m²·a。气候变化和人类活动对植被生长均有正向作用，且人类活动是影响GPP变化的主要因素。人类主导的植被恢复占总恢复面积的56.1%，草地GPP对人类活动的响应最为明显。气候变化因素中，作物和草地的GPP变化与降水量呈正相关，与温度呈负相关，而BSV的GPP变化与降水量和温度均呈负相关。对气候变化和人类活动对植被的动态贡献进行定量分析，可为应对全球气候变化提供科学理论依据。
