TY - JOUR
T1 - When the species–time–area relationship meets island biogeography
T2 - Diversity patterns of avian communities over time and space in a subtropical archipelago
AU - Song, Xiao
AU - Holt, Robert D.
AU - Si, Xingfeng
AU - Christman, Mary C.
AU - Ding, Ping
N1 - Publisher Copyright:
© 2017 John Wiley & Sons Ltd
PY - 2018/3
Y1 - 2018/3
N2 - Aim: The species–area (SAR) and species–time relationships (STR) are of vital importance in community ecology. Previous studies suggest that a unified, general species–time–area relationship (STAR) may hold, with non-independent scaling of richness across space and time. Most STAR studies to date have considered species accumulation curves in relatively homogeneous habitats. Here, we test the generality of the STAR in an island system and assess how factors other than area influence species richness, accumulation and turnover through time. Location: Thousand Island Lake, China. Methods: We surveyed bird communities on 36 islands using line transects, and calculated annual species richness of breeding birds from 2007 to 2015. We built island STAR models at island (island STAR; ISTAR) and transect levels (local community–time–area relationship; LCTAR). We employed partial correlations and multiple regressions to examine potential influences of island attributes other than area (i.e. isolation, edge effect and habitat richness) on slopes of STRs. Results: ISTAR and LCTAR models explained 88.8% and 83.1% of total variance, respectively, and both models have a negative space–time interaction. Richness scales comparably in space and time, for both whole-island and transect-level analyses. The partial correlation analysis showed that distance to mainland and perimeter-to-area ratio are significantly positively correlated with the time scalar (w), and habitat richness and w are negatively correlated. Multiple regression models identify perimeter-to-area ratio as particularly influential. Main conclusions: The STAR pattern generalized to an island system where species turnover is high, indicating an interdependency of time and space in determining species richness. Islands have attributes other than area that influence patterns of species accumulation and turnover through time. Ecologists should consider the interdependence of space and time when characterizing species richness patterns.
AB - Aim: The species–area (SAR) and species–time relationships (STR) are of vital importance in community ecology. Previous studies suggest that a unified, general species–time–area relationship (STAR) may hold, with non-independent scaling of richness across space and time. Most STAR studies to date have considered species accumulation curves in relatively homogeneous habitats. Here, we test the generality of the STAR in an island system and assess how factors other than area influence species richness, accumulation and turnover through time. Location: Thousand Island Lake, China. Methods: We surveyed bird communities on 36 islands using line transects, and calculated annual species richness of breeding birds from 2007 to 2015. We built island STAR models at island (island STAR; ISTAR) and transect levels (local community–time–area relationship; LCTAR). We employed partial correlations and multiple regressions to examine potential influences of island attributes other than area (i.e. isolation, edge effect and habitat richness) on slopes of STRs. Results: ISTAR and LCTAR models explained 88.8% and 83.1% of total variance, respectively, and both models have a negative space–time interaction. Richness scales comparably in space and time, for both whole-island and transect-level analyses. The partial correlation analysis showed that distance to mainland and perimeter-to-area ratio are significantly positively correlated with the time scalar (w), and habitat richness and w are negatively correlated. Multiple regression models identify perimeter-to-area ratio as particularly influential. Main conclusions: The STAR pattern generalized to an island system where species turnover is high, indicating an interdependency of time and space in determining species richness. Islands have attributes other than area that influence patterns of species accumulation and turnover through time. Ecologists should consider the interdependence of space and time when characterizing species richness patterns.
KW - Thousand Island Lake
KW - bird community
KW - species–area relationships
KW - species–time relationships
KW - species–time-area-relationships
KW - turnover
UR - https://www.scopus.com/pages/publications/85042436550
U2 - 10.1111/jbi.13146
DO - 10.1111/jbi.13146
M3 - 文章
AN - SCOPUS:85042436550
SN - 0305-0270
VL - 45
SP - 664
EP - 675
JO - Journal of Biogeography
JF - Journal of Biogeography
IS - 3
ER -