FN Archimer Export Format
PT J
TI Causal effects of population dynamics and environmental changes on spatial variability of marine fishes
BT 
AF Wang, Jheng-Yu
   Kuo, Ting-Chun
   Hsieh, Chih-hao
AS 1:1;2:1,2;3:1,3,4,5;
FF 1:;2:;3:;
C1 Institute of Oceanography, National Taiwan University, No.1, Section 4, Roosevelt Road, Taipei, 10617, Taiwan
   Institute of Marine Affairs and Resources Management, National Taiwan Ocean University, No.2, Peining Road Jhongjheng District, Keelung City, 20224, Taiwan
   Institute of Ecology and Evolutionary Biology, Department of Life Science, National Taiwan University, No.1, Section 4, Roosevelt Road, Taipei, 10617, Taiwan
   Research Center for Environmental Changes, Academia Sinica, No.128, Section 2, Academia Road Nankang, Taipei, 11529, Taiwan
   National Center for Theoretical Sciences, No.1, Section 4, Roosevelt Road, Taipei, 10617, Taiwan
C2 UNIV NATL TAIWAN NTU, TAIWAN
   UNIV NATL TAIWAN OCEAN NTOU, TAIWAN
   UNIV NATL TAIWAN OCEAN NTOU, TAIWAN
   ACAD SINICA, TAIWAN
   ACAD SINICA, TAIWAN
IF 14.919
TC 17
UR https://archimer.ifremer.fr/doc/00704/81559/86027.pdf
   https://archimer.ifremer.fr/doc/00704/81559/86028.pdf
   https://archimer.ifremer.fr/doc/00704/81559/86029.pdf
   https://archimer.ifremer.fr/doc/00704/81559/86030.pdf
LA English
DT Article
CR INTERNATIONAL BOTTOM TRAWL SURVEY (IBTS)
AB Populations with homogeneous distributions have better bet-hedging capacity than more heterogeneously distributed populations. Both population dynamics and environmental factors may influence the spatial variability of a population, but clear empirical evidence of such causal linkages is sparse. Using 25-year fish survey data from the North Sea, we quantify causal effects of age structure, abundance, and environment on nine fish species. We use empirical dynamic modeling—an approach based on state-space reconstruction rather than correlation—to demonstrate causal effects of those factors on population spatial variability. The causal effects are detected in most study species, though direction and strength vary. Specifically, truncated age structure elevates population spatial variability. Warming and spatially heterogeneous temperatures may enhance population spatial variability, whereas abundance and large-scale environmental effects are inconclusive. Fishing may affect population spatial variability directly or indirectly by altering age structure or abundance. We infer potential harmful effects of fishing and environmental changes on fish population stability, highlighting the importance of considering spatial dynamics in fisheries management. 
PY 2020
PD MAY
SO Nature Communications
SN 2041-1723
PU Springer Science and Business Media LLC
VL 11
IS 1
UT 000538812100010
DI 10.1038/s41467-020-16456-6
ID 81559
ER

EF