4.7 Article

Integrating constraint effects among ecosystem services and drivers on seasonal scales into management practices

Journal

ECOLOGICAL INDICATORS
Volume 125, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.ecolind.2021.107425

Keywords

Trade-offs; Synergies; Non-linear characteristics; Interaction thresholds; Landscape management; Xilingol grassland

Funding

  1. National Key Research and Development Plan of China [2016YFC0500502]
  2. National Natural Science Foundation of China [31570451]
  3. Program for Changjiang Scholars and Innovative Research Team in University [IRT_15R06]

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This study evaluated three ecosystem services in the Xilingol grassland of China, finding substantial seasonal variations in ecosystem service supply and quantifying relationships between different ecosystem services in different seasons. Results showed exponential constraint effects between NPP and SLwind, logarithmic constraint effects between SLwater and SLwind, and changes in the hump-shaped constraint effects between NPP and SLwater.
A better understanding of ecosystem service relationships and drivers facilitates scientific decision-making and improves ecosystem-based management practices. In contrast to previous studies that analyzed the relationship between ecosystem services associated with a specific time scale (i.e., annual scale), ecosystem services supply and their relationships were quantified in different seasons in the study. Three ecosystem services (NPP, net primary productivity; SLwater, soil water erosion; SLwind, soil wind erosion) were evaluated in the Xilingol grassland of China from 2000 to 2017. We extracted the upper boundary lines of the scatter plots of paired ecosystem services to define the types of constraint effects between them. We identified the constraint effects of ten drivers on ecosystem services. The results showed that the supply of ecosystem services shows substantial seasonal variation. The exponential constraint effects between NPP and SLwind, and the logarithmic constraint effects between SLwater and SLwind both changed inversely and monotonously, which were similar to trade-offs. The direction of the hump-shaped constraint effects between NPP and SLwater was changed. In this case, the trade-offs or synergies may not effectively characterize their relationship. Based on the constraint effects among ecosystem services, the constraint relationship of the drivers on ecosystem services, and the thresholds, optimized management measures can be taken. When vegetation cover was lower than 9%, vegetation did little to reduce SLwind; when vegetation cover was 55% or above, the effect of vegetation on reducing SLwind basically reached the maximum. Thresholds of key factors should be monitored seasonally, which can help us issue an early warning of SLwater. Our study suggests that policy-makers should pay more attention to the intra-annual variations in ecosystem service interactions and take constraint effects among ecosystem services and drivers into consideration when making decisions so as to achieve grassland ecological sustainability with less ecosystem service degradation.

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