TY - JOUR
T1 - Non-linear effects of natural and anthropogenic drivers on ecosystem services
T2 - Integrating thresholds into conservation planning
AU - Li, Delong
AU - Cao, Wenfang
AU - Dou, Yuehan
AU - Wu, Shuyao
AU - Liu, Junguo
AU - Li, Shuangcheng
N1 - Publisher Copyright:
© 2022
PY - 2022/11/1
Y1 - 2022/11/1
N2 - Ecosystem services (ESs) have been widely used for ecological protection and land spatial planning. Natural and anthropogenic drivers exhibit a strong dynamic coupling relationship with ESs. However, current ESs-related research focused on mapping the ESs spatially or investing the trade-offs and synergies relationship between ES, ignoring the nonlinear response of ESs to natural and anthropogenic drivers. Here we aimed to investigate the nonlinear effect of 14 potential drivers (8 natural and 6 anthropogenic) on the total value of six typical ESs (ESV). Taking Beijing-Tianjin-Hebei urban agglomeration (BTH) in China as an example, we established 14 constrain lines and identified critical thresholds through the restricted cubic splines (RCS) regression. We found strong non-linear impacts of natural and anthropogenic drivers on ESV and critical thresholds existed among all the 14 constrain lines. The RCS plots showed that the overall ESV was kept at a high level before or after certain thresholds (e.g., altitude >687 m, slope >13.4°, NDVI >0.7, distance from water <31.2 km, etc.). We categorized these threshold combinations and found the potentially high ES delivery areas were mainly distributed in the Yanshan Mountian, accounting for approximately 5% of the total BTH region. These critical thresholds offer a new method to delineate conservation and restoration priority areas.
AB - Ecosystem services (ESs) have been widely used for ecological protection and land spatial planning. Natural and anthropogenic drivers exhibit a strong dynamic coupling relationship with ESs. However, current ESs-related research focused on mapping the ESs spatially or investing the trade-offs and synergies relationship between ES, ignoring the nonlinear response of ESs to natural and anthropogenic drivers. Here we aimed to investigate the nonlinear effect of 14 potential drivers (8 natural and 6 anthropogenic) on the total value of six typical ESs (ESV). Taking Beijing-Tianjin-Hebei urban agglomeration (BTH) in China as an example, we established 14 constrain lines and identified critical thresholds through the restricted cubic splines (RCS) regression. We found strong non-linear impacts of natural and anthropogenic drivers on ESV and critical thresholds existed among all the 14 constrain lines. The RCS plots showed that the overall ESV was kept at a high level before or after certain thresholds (e.g., altitude >687 m, slope >13.4°, NDVI >0.7, distance from water <31.2 km, etc.). We categorized these threshold combinations and found the potentially high ES delivery areas were mainly distributed in the Yanshan Mountian, accounting for approximately 5% of the total BTH region. These critical thresholds offer a new method to delineate conservation and restoration priority areas.
KW - Critical threshold
KW - Ecosystem service
KW - Natural and anthropogenic driver
KW - Restoration priority area
KW - Restricted cubic spline
UR - http://www.scopus.com/inward/record.url?scp=85136513987&partnerID=8YFLogxK
U2 - 10.1016/j.jenvman.2022.116047
DO - 10.1016/j.jenvman.2022.116047
M3 - Article
C2 - 36104875
AN - SCOPUS:85136513987
SN - 0301-4797
VL - 321
JO - Journal of Environmental Management
JF - Journal of Environmental Management
M1 - 116047
ER -