Revealing Impacts of Human Activities and Natural Factors on Dynamic Changes of Relationships among Ecosystem Services: A Case Study in the Huang-Huai-Hai Plain, China

Longyun Deng, Yi Li, Zhi Cao, Ruifang Hao, Zheye Wang, Junxiao Zou, Quanyuan Wu () and Jianmin Qiao ()
Additional contact information
Longyun Deng: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Yi Li: Shandong Institute of Eco-Environmental Planning, Jinan 250101, China
Zhi Cao: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Ruifang Hao: School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
Zheye Wang: Kinder Institute for Urban Research, Rice University, Houston, TX 77005, USA
Junxiao Zou: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Quanyuan Wu: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Jianmin Qiao: College of Geography and Environment, Shandong Normal University, Jinan 250358, China

IJERPH, 2022, vol. 19, issue 16, 1-21

Abstract: Understanding the dynamic changes of relationships between ecosystem services (ESs) and their dominant factors can effectively adjust human activities to adapt proactively to global climate change. In this study, the Huang-Huai-Hai Plain (HHHP) was selected to assess the dynamics of four key ESs (NPP, net primary productivity; WY, water yield; SC, soil conservation; FP, food production) from 2000 to 2020. The constraint lines of interactions among ESs were extracted based on a segmented quantile regression model. On this basis, the effects of both human activities and natural factors on the key features of the interactions between ESs were quantified with the help of automatic linear model. The results indicated that two types of constraint relationships, including exponential and humped-shaped, existed among the six pairs of ESs. In the past two decades, small changes in NPP thresholds would lead to large variations in other ESs thresholds. Precipitation and normalized difference vegetation index were the key factors to determine the constraint strength of ESs in the HHHP. The potential maximum value of WY in the HHHP could be increased by adjusting landscape shape to make it more complicated. This study helps to improve the potential of target ESs and provides a decision-making basis for promoting regional sustainable development.

Keywords: constraint line; characteristic value; threshold; landscape index; interaction effect (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 (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/16/10230/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/16/10230/ (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:16:p:10230-:d:890815

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 ().