FN Archimer Export Format
PT J
TI The dual nature of metacommunity variability
BT 
AF Lamy, Thomas
   Wisnoski, Nathan I.
   Andrade, Riley
   Castorani, Max C. N.
   Compagnoni, Aldo
   Lany, Nina
   Marazzi, Luca
   Record, Sydne
   Swan, Christopher M.
   Tonkin, Jonathan D.
   Voelker, Nicole
   Wang, Shaopeng
   Zarnetske, Phoebe L.
   Sokol, Eric R.
AS 1:1,2;2:3,4;3:5,6;4:7;5:8,9;6:10,11;7:12;8:13;9:14;10:15,16;11:14;12:17;13:11,18;14:19,20;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;
C1 Marine Science Inst., Univ. of California Santa Barbara CA ,USA
   MARBEC, Univ. of Montpellier, CNRS, Ifremer, IRD Sète, France
   Dept of Biology, Indiana Univ. Bloomington IN ,USA
   WyGISC, Univ. of Wyoming Laramie WY, USA
   School of Geographical Sciences and Urban Planning, Arizona State Univ. Tempe AZ, USA
   Dept of Natural Resources and Environmental Sciences, Univ. of Illinois at Urbana – Champaign Urbana IL, USA
   Dept of Environmental Sciences, Univ. of Virginia Charlottesville VA, USA
   Martin Luther Univ. Halle‐Wittenberg Halle (Saale), Germany
   German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig, Germany
   Dept of Forestry, Michigan State Univ. East Lansing MI, USA
   Ecology, Evolution and Behavior Program, Michigan State Univ. East Lansing MI ,USA
   Dept of Biology, Bryn Mawr College Bryn Mawr PA ,USA
   Dept of Geography and Environmental Systems, Univ. of Maryland, Baltimore County Baltimore MD ,USA
   Dept of Integrative Biology, Oregon State Univ. OR ,USA
   School of Biological Sciences, Univ. of Canterbury Christchurch ,New Zealand
   Key Laboratory for Earth Surface Processes of the Ministry of Education, Inst. of Ecology, College of Urban and Environmental Sciences, Peking Univ. Beijing China
   Dept of Integrative Biology, Michigan State Univ. East Lansing MI, USA
   Inst. of Environment, Florida International Univ. Miami FL ,USA
   Inst. of Arctic and Alpine Research (INSTAAR), Univ. of Colorado Boulder Boulder CO ,USA
   Battelle, National Ecological Observatory Network (NEON) Boulder CO, USA
C2 UNIV CALIF SANTA BARBARA, USA
   UNIV MONTPELLIER, FRANCE
   UNIV INDIANA, USA
   UNIV WYOMING, USA
   UNIV ARIZONA STATE, USA
   UNIV ILLINOIS, USA
   UNIV VIRGINIA, USA
   UNIV HALLE WITTENBERG, GERMANY
   IDIV, GERMANY
   UNIV MICHIGAN STATE, USA
   UNIV MICHIGAN STATE, USA
   COLL BRYN MAWR, USA
   UNIV MARYLAND, USA
   UNIV OREGON STATE, USA
   UNIV CANTERBURY, NEW ZEALAND
   UNIV PEKING, CHINA
   UNIV MICHIGAN STATE, USA
   UNIV FLORIDA INT, USA
   UNIV COLORADO BOULDER, USA
   NEON, USA
UM MARBEC
IN WOS Cotutelle UMR
   copubli-europe
   copubli-int-hors-europe
   copubli-sud
IF 4.257
TC 12
UR https://archimer.ifremer.fr/doc/00724/83627/88660.pdf
LA English
DT Article
DE ;biodiversity;long-term ecological research;metacommunity;scale;stability;variability
AB There is increasing interest in measuring ecological stability to understand how communities and ecosystems respond to broad-scale global changes. One of the most common approaches is to quantify the variation through time in community or ecosystem aggregate attributes (e.g. total biomass), referred to as aggregate variability. It is now widely recognized that aggregate variability represents only one aspect of communities and ecosystems, and compositional variability, the changes in the relative frequency of species in an assemblage, is equally important. Recent contributions have also begun to explore ecological stability at regional spatial scales, where interconnected local communities form metacommunities, a key concept in managing complex landscapes. However, the conceptual frameworks and measures of ecological stability in space have only focused on aggregate variability, leaving a conceptual gap. Here, we address this gap with a novel framework for quantifying the aggregate and compositional variability of communities and ecosystems through space and time. We demonstrate that the compositional variability of a metacommunity depends on the degree of spatial synchrony in compositional trajectories among local communities. We then provide a conceptual framework in which compositional variability of 1) the metacommunity through time and 2) among local communities combine into four archetype scenarios: spatial stasis (low/low), spatial synchrony (high/low), spatial asynchrony (high/high) and spatial compensation (low/high). We illustrate this framework based on numerical examples and a case study of a macroalgal metacommunity in which low spatial synchrony reduced variability in aggregate biomass at the metacommunity scale, while masking high spatial synchrony in compositional trajectories among local communities. Finally, we discuss the role of dispersal, environmental heterogeneity, species interactions and suggest future avenues. We believe this framework will be helpful for considering both aspects of variability simultaneously, which is important to better understand ecological stability in natural and complex landscapes in response to environmental changes. 
PY 2021
PD DEC
SO Oikos
SN 0030-1299
PU Wiley
VL 130
IS 12
UT 000697656900001
BP 2078
EP 2092
DI 10.1111/oik.08517
ID 83627
ER

EF