Land Use and Climate Change Altered the Ecological Quality in the Luanhe River Basin

Yongbin Zhang, Tanglei Song, Jihao Fan, Weidong Man, Mingyue Liu, Yongqiang Zhao, Hao Zheng, Yahui Liu, Chunyu Li, Jingru Song, Xiaowu Yang and Junmin Du
Additional contact information
Yongbin Zhang: College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
Tanglei Song: College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
Jihao Fan: Hebei Tangshan High Resolution Earth Observation System Data and Application Center, Tangshan 063210, China
Weidong Man: College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
Mingyue Liu: College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
Yongqiang Zhao: Qinhuangdao City Surveying and Mapping Brigade, Qinhuangdao 066000, China
Hao Zheng: College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
Yahui Liu: College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
Chunyu Li: College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
Jingru Song: College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
Xiaowu Yang: College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
Junmin Du: Hebei Tangshan High Resolution Earth Observation System Data and Application Center, Tangshan 063210, China

IJERPH, 2022, vol. 19, issue 13, 1-22

Abstract: Monitoring and assessing ecological quality (EQ) can help to understand the status and dynamics of the local ecosystem. Moreover, land use and climate change increase uncertainty in the ecosystem. The Luanhe River Basin (LHRB) is critical to the ecological security of the Beijing–Tianjin–Hebei region. To support ecosystem protection in the LHRB, we evaluated the EQ from 2001 to 2020 based on the Remote Sensing Ecological Index (RSEI) with the Google Earth Engine (GEE). Then, we introduced the coefficient of variation, Theil–Sen analysis, and Mann–Kendall test to quantify the variation and trend of the EQ. The results showed that the EQ in LHRB was relatively good, with 61.08% of the basin rated as ‘good’ or ‘excellent’. The spatial distribution of EQ was low in the north and high in the middle, with strong improvement in the north and serious degradation in the south. The average EQ ranged from 0.58 to 0.64, showing a significant increasing trend. Furthermore, we found that the expansion of construction land has caused degradation of the EQ, whereas climate change likely improved the EQ in the upper and middle reaches of the LHRB. The results could help in understanding the state and trend of the eco-environment in the LHRB and support decision-making in land-use management and climate change.

Keywords: ecological quality; time series; remote sensing ecological index; Google Earth Engine; climate change; land use (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/13/7719/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/13/7719/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:13:p:7719-:d:846176

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().