Estimating and analyzing the spatiotemporal pattern of net ecosystem productivity in Qinba area by combing remote sensing data and BIOME-BGC model

Siyu Chen; Tao Zhang; Kailei Xu; Jinlun Zhang

doi:10.1117/12.3020935

23 January 2024 Estimating and analyzing the spatiotemporal pattern of net ecosystem productivity in Qinba area by combing remote sensing data and BIOME-BGC model

Siyu Chen, Tao Zhang, Kailei Xu, Jinlun Zhang

Author Affiliations +

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129781C (2024) https://doi.org/10.1117/12.3020935
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

Studying the spatial and temporal changes of NEP in the Qinba area can provide scientific and technological data support for the realization of regional carbon neutrality goals. We use site parameters, geographical conditions monitoring data, MCD43A3 and a series of daily meteorological grid data to simulate daily NEP dataset at a spatial resolution of 500 m×500 m during 2000-2020. The results show that the spatial distribution of NEP in the ecosystem of the Qinba area is significantly different. Except for 2005, the vegetation in Qinba area is dominated by carbon absorption from 2000 to 2020. From the perspective of spatial change, the area of NEP significantly increased is 2657.37 km², mainly distributed in the northern Qinling Mountain area above 2000 meters of elevation and the southern part of Bashan area. From the perspective of seasonal changes, the proportion of carbon sink vegetation area in spring, summer and autumn is 90.3%, 99.1% and 91% respectively. Under the RCP4.5 scenario model, the NEP in the Qinba area is predicted to reach 33.41 gCm^-2a^-1 in the next 80 years. The meteorological factors that play a positive role in the increase of NEP are CO₂ concentration, temperature and precipitation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Siyu Chen, Tao Zhang, Kailei Xu, and Jinlun Zhang "Estimating and analyzing the spatiotemporal pattern of net ecosystem productivity in Qinba area by combing remote sensing data and BIOME-BGC model", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129781C (23 January 2024); https://doi.org/10.1117/12.3020935

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available