TY - JOUR
T1 - Illuminating the intrinsic and extrinsic drivers of ecological stability across scales
AU - Ross, Samuel R.P.J.
AU - Suzuki, Yuka
AU - Kondoh, Michio
AU - Suzuki, Kenta
AU - Villa Martín, Paula
AU - Dornelas, Maria
N1 - Funding Information:
This contribution arose from discussions at the Ecological Research Symposium “Ecological Stability: spatial and temporal dynamics” organized by Samuel R. P.‐J. Ross and Yuka Suzuki at the 66th meeting of the Ecological Society of Japan in Kobe, Japan. We thank Masahiro Nakaoka, Katsuhiko Yoshida and the Ecological Society of Japan's ER symposium committee for facilitating discussions through our symposium. Funding to attend the conference was provided for Maria Dornelas by , and for Samuel R. P.‐J. Ross by a British Ecological Society Training and Travel Grant (TT19/1029). Samuel R. P.‐J. Ross was supported by Trinity College Dublin and an Irish Research Council Postgraduate Scholarship (GOIPG/2018/3023). Yuka Suzuki was supported by JSPS KAKENHI (JP20J10699) with additional support to Yuka Suzuki and Paula Villa Martín from the Okinawa Institute of Science and Technology Graduate University. Michio Kondoh was supported by CREST (JPMJCR13A2), Japan Science and Technology Agency and JSPS KAKENHI (19H05641 and 16H04846). Kenta Suzuki was supported by the Management Expenses Grant for RIKEN BioResource Research Center, MEXT, and JSPS KAKENHI (20K06820 and 20H03010). We also thank three anonymous reviewers for their positive and constructive comments on earlier versions of this manuscript. Ecological Research
Funding Information:
This contribution arose from discussions at the Ecological Research Symposium “Ecological Stability: spatial and temporal dynamics” organized by Samuel R. P.-J. Ross and Yuka Suzuki at the 66th meeting of the Ecological Society of Japan in Kobe, Japan. We thank Masahiro Nakaoka, Katsuhiko Yoshida and the Ecological Society of Japan's ER symposium committee for facilitating discussions through our symposium. Funding to attend the conference was provided for Maria Dornelas by Ecological Research, and for Samuel R. P.-J. Ross by a British Ecological Society Training and Travel Grant (TT19/1029). Samuel R. P.-J. Ross was supported by Trinity College Dublin and an Irish Research Council Postgraduate Scholarship (GOIPG/2018/3023). Yuka Suzuki was supported by JSPS KAKENHI (JP20J10699) with additional support to Yuka Suzuki and Paula Villa Martín from the Okinawa Institute of Science and Technology Graduate University. Michio Kondoh was supported by CREST (JPMJCR13A2), Japan Science and Technology Agency and JSPS KAKENHI (19H05641 and 16H04846). Kenta Suzuki was supported by the Management Expenses Grant for RIKEN BioResource Research Center, MEXT, and JSPS KAKENHI (20K06820 and 20H03010). We also thank three anonymous reviewers for their positive and constructive comments on earlier versions of this manuscript.
Publisher Copyright:
© 2021 The Authors. Ecological Research published by John Wiley & Sons Australia, Ltd on behalf of The Ecological Society of Japan.
PY - 2021/5
Y1 - 2021/5
N2 - Our knowledge of ecological stability is built on assumptions of scale. These assumptions limit our ability to reach a generalizable and mechanistic understanding of stability under global environmental change. Moving towards a multiscale approach—across space, time and environment—will allow us to better understand the intrinsic (e.g., demographic) and extrinsic (environmental) drivers of ecological stability. In this perspective, we review multiple sources of variation responsible for shaping ecological dynamics, and how scale affects our observation of these dynamics through its confounding effect on drivers of variation in ecosystems. We discuss the effect of temporal scale when combining empirical dynamic modeling with high-resolution population time series to consider the time-varying nature of multispecies interaction networks, highlighting interspecific interactions as an intrinsic driver of community dynamics. Next, we examine energy landscape analysis as a method for inferring stability and transience during community assembly and its interaction with spatial scale, emphasizing the intrinsic role of compositional variability in assembly dynamics. We then examine population dynamics at species' range margins and show how considering the interaction between spatial and temporal environmental heterogeneity, an extrinsic driver of population dynamics, can facilitate a nuanced understanding of population expansions, range shifts, and species invasions. Finally, we discuss broadly how the sources of intrinsic and extrinsic variation interact with each other and with spatiotemporal scale to shape ecological dynamics. Better recognition of the scale-dependent nature of the relationship between drivers of variation and ecological dynamics will be invaluable to illuminate the dynamics influencing ecological stability across scales.
AB - Our knowledge of ecological stability is built on assumptions of scale. These assumptions limit our ability to reach a generalizable and mechanistic understanding of stability under global environmental change. Moving towards a multiscale approach—across space, time and environment—will allow us to better understand the intrinsic (e.g., demographic) and extrinsic (environmental) drivers of ecological stability. In this perspective, we review multiple sources of variation responsible for shaping ecological dynamics, and how scale affects our observation of these dynamics through its confounding effect on drivers of variation in ecosystems. We discuss the effect of temporal scale when combining empirical dynamic modeling with high-resolution population time series to consider the time-varying nature of multispecies interaction networks, highlighting interspecific interactions as an intrinsic driver of community dynamics. Next, we examine energy landscape analysis as a method for inferring stability and transience during community assembly and its interaction with spatial scale, emphasizing the intrinsic role of compositional variability in assembly dynamics. We then examine population dynamics at species' range margins and show how considering the interaction between spatial and temporal environmental heterogeneity, an extrinsic driver of population dynamics, can facilitate a nuanced understanding of population expansions, range shifts, and species invasions. Finally, we discuss broadly how the sources of intrinsic and extrinsic variation interact with each other and with spatiotemporal scale to shape ecological dynamics. Better recognition of the scale-dependent nature of the relationship between drivers of variation and ecological dynamics will be invaluable to illuminate the dynamics influencing ecological stability across scales.
KW - community dynamics
KW - empirical dynamic modeling
KW - energy landscape analysis
KW - metacommunity
KW - time series
UR - http://www.scopus.com/inward/record.url?scp=85101793610&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85101793610&partnerID=8YFLogxK
U2 - 10.1111/1440-1703.12214
DO - 10.1111/1440-1703.12214
M3 - Article
AN - SCOPUS:85101793610
SN - 0912-3814
VL - 36
SP - 364
EP - 378
JO - Ecological Research
JF - Ecological Research
IS - 3
ER -