Abstract
Resilient kelp forests provide foundation habitat for marine ecosystems and are indicators of the ecosystems’ sustainable natural capital. Loss of resilience and imperfectly reversible catastrophic shifts from kelp forests to urchin barrens, due to pollution or loss of a top predator, are part of an ecological tipping point phenomenon, and involve a loss in sustainable natural capital. Management controls to prevent or reverse these shifts and losses are classified in a number of ways. Systemic controls eliminate the cause of the problem. Symptomatic controls use leverage points for more direct control of the populations affected, urchin harvesting or culling, or kelp enhancement. There is a distinction between ongoing structural (press) controls versus temporary or intermittent perturbation (pulse) controls, and one between shift preventing versus shift reversing or restorative controls. Adaptive management and the options it creates both focus on reductions in uncertainty and control policies with the flexibility to take advantage of those reductions. The various management distinctions are most easily understood by modeling the predator-urchin-kelp marine ecosystem. This paper develops a mathematical model of the ecosystem that has the potential for two different catastrophic shifts between equilibria. Pulse disturbances, originating from exogenous abiotic factors or population dynamics elsewhere in the metacommunity, can activate shifts. A measure of probabilistic resilience is developed and used as part of an assessment of the ecosystem’s sustainable stock of natural capital. With perturbation outcomes clustered around the originating equilibrium, hysteresis is activated, resulting imperfect reversibility of catastrophic shifts, and a loss in natural capital. The difficulty of reversing a shift from kelp forest to urchin barren, with an associated loss in sustainable natural capital, is an example. Management controls are modeled. I find that systemic and symptomatic, and press and pulse, controls can be complementary. Restorative controls tend to be more difficult or costly than preventative ones. Adaptive management, favoring flexible, often preventative, controls, creates option value, lowering control costs and/or losses in sustainable natural capital. Two cases are used to illustrate, Tasmania, Australia and Haida Gwaii, Canada.
Highlights
Healthy marine ecosystems are rich in natural capital (Mäler and Li, 2010; Bennett et al, 2016; Wernberg et al, 2019)
The model is a recursively decoupled catastrophe model with two trophic interactions and the potential for two catastrophic shifts, one at the level of the predatorurchin trophic interaction and one at the level of the urchinkelp interaction. It incorporates the concept of resilience at both levels and uses resilience probabilities and hysteresis as part of a definition of the sustainable natural capital stock as expected kelp density
Addressing the loss of resilience and depletion of kelp forests as a foundation species in an important marine ecosystem, this paper developed a mathematical model to analyze catastrophic shifts in urchin and kelp densities
Summary
Healthy marine ecosystems are rich in natural capital (Mäler and Li, 2010; Bennett et al, 2016; Wernberg et al, 2019). In an ecologically resilient kelp forest community, kelp (order Laminariales) are the foundation species whose physical characteristics provide the habitat for a healthy marine ecosystem (Miller et al, 2018). Kelp Forests stock of natural capital, and the kelp forest’s ecological resilience (Holling, 1973) is an indicator of the stock’s sustainability (Graham, 2004; Ellison et al, 2005; Small, 2018). Decreased resilience increases the probability of a catastrophic (abrupt, perhaps over decades) shift from a cryptic urchin-kelp forest regime to a kelp depauperate-urchin barren regime with a much poorer stock of natural capital (Petraitis and Dudgeon, 2004; Ling et al, 2015; Krumhansl et al, 2016; Wernberg et al, 2016; Filbee-Dexter and Wernberg, 2018; Wernberg et al, 2019)
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