Reuman Daniel C.

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Last Name
Reuman
First Name
Daniel C.
ORCID
0000-0002-1407-8947

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  • Article
    Tail-dependent spatial synchrony arises from nonlinear driver-response relationships
    (Wiley, 2022-03-04) Walter, Jonathan A. ; Castorani, Max C. N. ; Bell, Tom W. ; Sheppard, Lawrence W. ; Cavanaugh, Kyle C. ; Reuman, Daniel C.
    Spatial synchrony may be tail-dependent, that is, stronger when populations are abundant than scarce, or vice-versa. Here, ‘tail-dependent’ follows from distributions having a lower tail consisting of relatively low values and an upper tail of relatively high values. We present a general theory of how the distribution and correlation structure of an environmental driver translates into tail-dependent spatial synchrony through a non-linear response, and examine empirical evidence for theoretical predictions in giant kelp along the California coastline. In sheltered areas, kelp declines synchronously (lower-tail dependence) when waves are relatively intense, because waves below a certain height do little damage to kelp. Conversely, in exposed areas, kelp is synchronised primarily by periods of calmness that cause shared recovery (upper-tail dependence). We find evidence for geographies of tail dependence in synchrony, which helps structure regional population resilience: areas where population declines are asynchronous may be more resilient to disturbance because remnant populations facilitate reestablishment.
  • Article
    Disturbance and nutrients synchronise kelp forests across scales through interacting Moran effects
    (Wiley, 2022-06-30) Castorani, Max C. N. ; Bell, Tom W. ; Walter, Jonathan A. ; Reuman, Daniel C. ; Cavanaugh, Kyle C. ; Sheppard, Lawrence W.
    Spatial synchrony is a ubiquitous and important feature of population dynamics, but many aspects of this phenomenon are not well understood. In particular, it is largely unknown how multiple environmental drivers interact to determine synchrony via Moran effects, and how these impacts vary across spatial and temporal scales. Using new wavelet statistical techniques, we characterised synchrony in populations of giant kelp Macrocystis pyrifera, a widely distributed marine foundation species, and related synchrony to variation in oceanographic conditions across 33 years (1987–2019) and >900 km of coastline in California, USA. We discovered that disturbance (storm-driven waves) and resources (seawater nutrients)—underpinned by climatic variability—act individually and interactively to produce synchrony in giant kelp across geography and timescales. Our findings demonstrate that understanding and predicting synchrony, and thus the regional stability of populations, relies on resolving the synergistic and antagonistic Moran effects of multiple environmental drivers acting on different timescales.