标题: Spatio-temporal dynamics of terrestrial Net ecosystem productivity in the ASEAN from 2001 to 2020 based on remote sensing and improved CASA model

作者: Huang, CQ (Huang, Chaoqing); Sun, CZ (Sun, Chuanzhun); Nguyen, M (Nguyen, Minhthu); Wu, Q (Wu, Qian); He, C (He, Chao); Yang, H (Yang, Huan); Tu, PY (Tu, Peiyue); Hong, S (Hong, Song)

来源出版物: ECOLOGICAL INDICATORS卷: 154文献号: 110920 DOI: 10.1016/j.ecolind.2023.110920提前访问日期: SEP 2023出版年: OCT 2023

摘要: The Association of Southeast Asian Nations (ASEAN) has attracted considerable attention for its rich land ecosystem productivity. However, recent excessive human disturbances may have triggered significant transformations. Consequently, understanding the spatio-temporal dynamics of ecosystem productivity in this region is crucial for strengthening regional ecological sustainability and implementing climate change mitigation strategies. In this study, we harnessed multi-source remote sensing data, an improved CASA model, Theil-Sen Median estimators, Mann-Kendall tests, and Hurst exponent to estimate the net ecosystem productivity (NEP) of the ASEAN region and simulate its spatiotemporal dynamics change. The results showed that the mean annual NEP from 2001 to 2020 in ASEAN was 396.83gC/m2, exhibiting a gradual downward trend. From a spatiotemporal tendency perspective, the areas of NEP decline in the ASEAN region far outweighed the areas of increase, with 60.03% of the total area showing a decrease in NEP, 33.14% showing a boost, and 6.83% showing no significant change. In terms of change persistence, 79.3% of NEP demonstrated anti-persistence, indicating a stronger trend of NEP change reversal. Coupling analysis results indicated that the areas with a future increasing trend of NEP constituted 36.11% of the total area, while areas with no significant future change accounted for 0.08%, areas with a future decreasing trend included 25.21%, and 38.6% of the region exhibited uncertain future trends. Researchers should continually monitor areas with decreasing NEP and uncertain future trends. This study, driven by remote sensing data and combined with the improved CASA model, has successfully estimated the Net Ecosystem Productivity (NEP) at both site and regional scales. The analysis results of NEP in the ASEAN region have enhanced our comprehension of the spatio-temporal patterns of vegetation carbon balance changes in ASEAN, providing data support for formulating "low-carbon economy" strategies and promoting the sustainable development of regional ecosystems.

作者关键词: ASEAN; CASA; Remote Sensing; NEP; Spatio-temporal pattern

地址: [Huang, Chaoqing; Wu, Qian; Yang, Huan; Tu, Peiyue; Hong, Song] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Huang, Chaoqing; Wu, Qian; Yang, Huan; Tu, Peiyue; Hong, Song] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

[Sun, Chuanzhun] South China Agr Univ, Sch Publ Management, Guangzhou 510642, Peoples R China.

[Nguyen, Minhthu] Minist Nat Resources & Environm, Vietnam Inst Meteorol Hydrol & Climate Change, Hanoi City 100000, Vietnam.

[He, Chao] Yangtze Univ, Coll Resources & Environm, Wuhan 430100, Peoples R China.

通讯作者地址: Hong, S (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址:songhongpku@126.com

影响因子：6.9