@article{fdi:010037652,
  title = {{S}patial synchrony in population fluctuations: extending the {M}oran theorem to cope with spatially heterogeneous dynamics},
  author = {{H}ugueny, {B}ernard},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he recent interest in the spatial structure and dynamics of populations motivated numerous theoretical and empirical studies of spatial synchrony, the tendency of populations to fluctuate in unison over regional areas. {T}he first comprehensive framework applied to spatial synchrony was probably the one elaborated by {P}. {A}. {P}. {M}oran back in 1953. {H}e suggested that if two populations have the same linear density-dependent structure, the correlation between them will be equal to that between the local density-independent conditions. {S}urprisingly, the consequences of violating the assumption that the dynamics of the populations are identical has received little attention. {I}n this paper, making the assumption that population dynamics can be described by linear and stationary autoregressive processes, {I} show that the observed spatial synchrony between two populations can be decomposed into two multiplicative components: the demographic component depending on the values of the autoregressive coefficients, and the correlation of the environmental noise. {T}he {M}oran theorem corresponds to the special case where the demographic component equals unity. {U}sing published data, {I} show that the spatial variability in population dynamics may substantially contribute to the spatial variability of population synchrony, and thus should not be neglected in future studies.},
  keywords = {},
  booktitle = {},
  journal = {{O}ikos},
  volume = {115},
  numero = {1},
  pages = {3--14},
  ISSN = {0030-1299},
  year = {2006},
  DOI = {10.1111/j.2006.0030-1299.14686.x},
  URL = {https://www.documentation.ird.fr/hor/fdi:010037652},
}