气候变化领域集成服务门户(CCPortal): Downscaling estimation of NEP in the ecologically-oriented county based on multi-source remote sensing data

CCPortal

DOI	10.1016/j.ecolind.2024.111818
	Downscaling estimation of NEP in the ecologically-oriented county based on multi-source remote sensing data
	Zheng, Bofu; Wu, Shuyang; Liu, Zhong; Wu, Hanqing; Li, Zida; Ye, Ruji; Zhu, Jinqi; Wan, Wei
发表日期	2024
ISSN	1470-160X
EISSN	1872-7034
起始页码	160
卷号	160
英文摘要	Net ecosystem productivity (NEP) serves as a pivotal metric for quantitatively elucidating the carbon sink function of terrestrial ecosystems. As a prototype county for the development of an ecological civilization in China, the quantitative estimation of the ecotypic county's ecosystem carbon sink capacity holds immense significance in comprehending the carbon cycle and facilitating the sustainable advancement of regional ecosystems. This study undertook the estimation of NEP in Wuning County from 2000 to 2020, employing a fusion of multi-source remote sensing data, the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM), the improved Carnegie-Ames-Stanford Approach model, and the soil respiration model. Furthermore, we delved into the differences in NEP across various types of land cover. In addition, we employed the Theil-Sen Median trend analysis and Mann-Kendall test to discern the spatio-temporal trends of NEP. The findings indicated the following: (1) The downscaled NDVI generated by STARFM exhibited a remarkable consistency with Landsat NDVI overall (R-2 > 0.95, P < 0.01, 0 < RMSE < 0.1). (2) The gross NEP from 2000 to 2020 in the study area ranged from 542.78 to 720 Gg C, with a multi-year average NEP of 183.84 g C m(-2) yr(-1). The simulated NEP demonstrated higher accuracy when compared to the measured data (R-2 = 0.79, P < 0.01). (3) The NEP exhibited a spatial pattern characterized by lower values in the central area and higher values in the north and south. Approximately 89.60 % of the total area demonstrated an increase in NEP, with woodland acting as the primary contributor, while 4.50 % of the total area displayed a decreasing trend, predominantly due to the expansion of built-up land. (4) Notable variations in NEP existed among different types of land cover. In terms of vegetation types, the annual average NEP ranked as follows: woodland > grassland > cropland. The application of STARFM has provided valuable insights into the methodology for precise delineation of spatio-temporal dynamics of NEP at the county scale. The outcomes of this study have furnished support for implementing climate change mitigation strategies in ecologically-oriented counties and the bottom-up promotion of China's carbon peaking and carbon neutrality goals.
英文关键词	STARFM; Downscaling; Data fusion; County scale; NEP; Remote sensing; Spatio-temporal pattern
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS记录号	WOS:001202419600001
来源期刊	ECOLOGICAL INDICATORS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/306093
作者单位	Nanchang University; Nanchang University; China Agricultural University; Chinese Academy of Sciences; Institute of Subtropical Agriculture, CAS; Nanchang University
推荐引用方式 GB/T 7714	Zheng, Bofu,Wu, Shuyang,Liu, Zhong,et al. Downscaling estimation of NEP in the ecologically-oriented county based on multi-source remote sensing data[J],2024,160.
APA	Zheng, Bofu.,Wu, Shuyang.,Liu, Zhong.,Wu, Hanqing.,Li, Zida.,...&Wan, Wei.(2024).Downscaling estimation of NEP in the ecologically-oriented county based on multi-source remote sensing data.ECOLOGICAL INDICATORS,160.
MLA	Zheng, Bofu,et al."Downscaling estimation of NEP in the ecologically-oriented county based on multi-source remote sensing data".ECOLOGICAL INDICATORS 160(2024).