Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Effect of climate change on the seasonal variation in photosynthetic and non-photosynthetic vegetation coverage in desert areas, Northwest China
Catena ( IF 6.2 ) Pub Date : 2024-03-05 , DOI: 10.1016/j.catena.2024.107954 Xuelian Bai , Wenzhi Zhao , Weicheng Luo , Ning An
Catena ( IF 6.2 ) Pub Date : 2024-03-05 , DOI: 10.1016/j.catena.2024.107954 Xuelian Bai , Wenzhi Zhao , Weicheng Luo , Ning An
Efficient prediction of the response of vegetation to future climate change requires an in depth understanding of the effect of climate change on the land cover by photosynthetic () and non-photosynthetic vegetation () and its driving mechanism. Here, we aimed to estimate and , and analyze the impacts of climate factors on their seasonal variability in the arid desert of northwestern China. First, optimal vegetation indices (VIs) were selected to estimate and based on measured spectral reflectance, and the accuracy of estimated and using Sentinel-2 images was evaluated with data from an unmannedaerialvehicle (UAV). Then, partial correlation, multi-correlation and time‐lag effect analyses were used to obtain the correlation coefficients and lag times between , and climate change. The results showed that Normalized Difference Vegetation Index (NDVI) and Dead Fuel Index (DFI) were the optimal VIs to estimate and in the desert, with the accuracy of 67 and 52 % for and , respectively. The average and were 8.15 and 9.26 % from March to November, their seasonal variability was consistent with plant phenology, and there was a decrease in and from east to west with a decrease in precipitation. The variability in was driven by precipitation while that of was dominated bytemperature. The time-lag of temperature and precipitation effect on was 1.28 ± 1.28 and 1.61 ± 1.16 months, respectively, and on was 1.28 ± 1.2 and 1.19 ± 1.24 months, respectively. The time-lag of temperature-precipitation interaction on and were 1.4 ± 1.22 and 1.2 ± 1.28 months, respectively. Accumulated precipitation had a positive effect on and a negative effect on , while the impact of accumulated temperature was the opposite. We conclude that there were time-lag and cumulative effects of climate change on and variability in desert areas. This study helps us better understand the climate-vegetation interactions and provides a scientific basis for desert vegetation management under climate change.
更新日期：2024-03-05
京公网安备 11010802027423号