Literature DB >> 17531037

Long-term ecosystem dynamics in the Serengeti: lessons for conservation.

A R E Sinclair1, Simon A R Mduma, J Grant C Hopcraft, John M Fryxell, Ray Hilborn, Simon Thirgood.   

Abstract

Data from long-term ecological studies further understanding of ecosystem dynamics and can guide evidence-based management. In a quasi-natural experiment we examined long-term monitoring data on different components of the Serengeti-Mara Ecosystem to trace the effects of disturbances and thus to elucidate cause-and-effect connections between them. The long-term data illustrated the role of food limitation in population regulation in mammals, particularly in migratory wildebeest and nonmigratory buffalo. Predation limited populations of smaller resident ungulates and small carnivores. Abiotic events, such as droughts and floods, created disturbances that affected survivorship of ungulates and birds. Such disturbances showed feedbacks between biotic and abiotic realms. Interactions between elephants and their food allowed savanna and grassland communities to co-occur. With increased woodland vegetation, predators' capture of prey increased. Anthropogenic disturbances had direct (hunting) and indirect (transfer of disease to wildlife) effects. Slow and rapid changes and multiple ecosystem states became apparent only over several decades and involved events at different spatial scales. Conservation efforts should accommodate both infrequent and unpredictable events and long-term trends. Management should plan on the time scale of those events and should not aim to maintain the status quo. Systems can be self-regulating through food availability and predator-prey interactions; thus, culling may not be required. Ecosystems can occur in multiple states; thus, there may be no a priori need to maintain one natural state. Finally, conservation efforts outside protected areas must distinguish between natural change and direct human-induced change. Protected areas can act as ecological baselines in which human-induced change is kept to a minimum.

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Year:  2007        PMID: 17531037     DOI: 10.1111/j.1523-1739.2007.00699.x

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  20 in total

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4.  Matching observations and reality: using simulation models to improve monitoring under uncertainty in the Serengeti.

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6.  A century of change in Kenya's mammal communities: increased richness and decreased uniqueness in six protected areas.

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7.  A disease-mediated trophic cascade in the Serengeti and its implications for ecosystem C.

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8.  Predicting the future impact of droughts on ungulate populations in arid and semi-arid environments.

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10.  Applying a random encounter model to estimate lion density from camera traps in Serengeti National Park, Tanzania.

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