Novel model for NPP prediction based on temperature and land use changes: A case in Sichuan and Chongqing, China. (December 2022)
- Record Type:
- Journal Article
- Title:
- Novel model for NPP prediction based on temperature and land use changes: A case in Sichuan and Chongqing, China. (December 2022)
- Main Title:
- Novel model for NPP prediction based on temperature and land use changes: A case in Sichuan and Chongqing, China
- Authors:
- Zhou, Zijun
Qin, Dahui
Chen, Lunchao
Jia, Hongliang
Yang, Ling
Dai, Tianyu - Abstract:
- Highlights: A novel NPP prediction model was developed. The model took into account both the effects of temperature and land use change. The model has a high accuracy and a good applicability for prediction of the NPP in the study area. The changes of land use and NPP in Sichuan-Chongqing region under different scenarios were simulated. Abstract: The net primary productivity (NPP) is a direct reflection of the productivity of vegetation communities; predicting changes in the NPP is important for assessing the sustainability of ecosystems. However, few studies have been conducted on the prediction of the NPP, and it is necessary to develop more prediction models. Therefore, in this study, a model based on temperature and land use/cover changes (LUCCs) was developed and applied to the Sichuan-Chongqing region, and the prediction results were obtained under the development scenarios composed of a shared socioeconomic pathway (SSP) and a representative concentration pathway (RCP). The results show that: (1) the NPP in the Sichuan-Chongqing region in 2020 simulated using the newly developed model to the actual NPP in 2020, and the kappa coefficient was 75.03%, which indicates that this model has a good applicability. (2) The total NPP increased in all five SSP-RCP scenarios (from high to low, SSP5-8.5, SSP4-6.0, SSP1-2.6, SSP2-4.5, and SSP3-7.0), but the SSP3-7.0 and SSP5-8.5 scenarios include uncontrolled urban expansion, leading to destruction of ecological areas. The SSP2-4.5Highlights: A novel NPP prediction model was developed. The model took into account both the effects of temperature and land use change. The model has a high accuracy and a good applicability for prediction of the NPP in the study area. The changes of land use and NPP in Sichuan-Chongqing region under different scenarios were simulated. Abstract: The net primary productivity (NPP) is a direct reflection of the productivity of vegetation communities; predicting changes in the NPP is important for assessing the sustainability of ecosystems. However, few studies have been conducted on the prediction of the NPP, and it is necessary to develop more prediction models. Therefore, in this study, a model based on temperature and land use/cover changes (LUCCs) was developed and applied to the Sichuan-Chongqing region, and the prediction results were obtained under the development scenarios composed of a shared socioeconomic pathway (SSP) and a representative concentration pathway (RCP). The results show that: (1) the NPP in the Sichuan-Chongqing region in 2020 simulated using the newly developed model to the actual NPP in 2020, and the kappa coefficient was 75.03%, which indicates that this model has a good applicability. (2) The total NPP increased in all five SSP-RCP scenarios (from high to low, SSP5-8.5, SSP4-6.0, SSP1-2.6, SSP2-4.5, and SSP3-7.0), but the SSP3-7.0 and SSP5-8.5 scenarios include uncontrolled urban expansion, leading to destruction of ecological areas. The SSP2-4.5 scenario continues the existing development pattern, with more moderate land use and NPP changes. The urban land use in the SSP1-2.6 and SSP4-6.0 scenarios is more intensive and the level of ecological protection is better. Simulating the LUCCs under different SSP-RCP scenarios and predicting the NPP changes can provide a theoretical basis for coping with future ecological changes and improving ecosystem stability. … (more)
- Is Part Of:
- Ecological indicators. Volume 145(2023)
- Journal:
- Ecological indicators
- Issue:
- Volume 145(2023)
- Issue Display:
- Volume 145, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 145
- Issue:
- 2023
- Issue Sort Value:
- 2023-0145-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12
- Subjects:
- Net primary productivity -- SSP-RCP scenarios -- Land use/cover change -- Sichuan-Chongqing region
Environmental monitoring -- Periodicals
Environmental management -- Periodicals
Environmental impact analysis -- Periodicals
Environmental risk assessment -- Periodicals
Sustainable development -- Periodicals
333.71405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1470160X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecolind.2022.109724 ↗
- Languages:
- English
- ISSNs:
- 1470-160X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.877200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24544.xml