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Can nonequilibrium models of community organization be stable? Read Chesson and Case (1986) and DeAngelis and Waterhouse (1987) and discuss the relationship between stability and equilibrium/nonequilibrium concepts.

Short Answer

Expert verified
Nonequilibrium models can contribute to stability by allowing dynamic interactions and ongoing adaptation, which contrast with static equilibrium models.

Step by step solution

01

Define Key Concepts

Begin by defining key terms such as 'stability,' 'equilibrium models,' and 'nonequilibrium models.' - **Stability** refers to the ability of a community to return to its original state after a disturbance. - **Equilibrium models** assume that ecosystems reach a steady state where species populations remain constant over time. - **Nonequilibrium models** suggest that communities do not reach a steady state and are shaped by ongoing disturbances and external changes.
02

Summarize Chesson and Case (1986)

According to Chesson and Case (1986), nonequilibrium models account for ongoing changes and disturbances that prevent ecosystems from reaching a stable equilibrium. They argue that these models are useful for explaining species diversity and coexistence by allowing for dynamic interactions and changing conditions.
03

Summarize DeAngelis and Waterhouse (1987)

DeAngelis and Waterhouse (1987) explore how nonequilibrium models can potentially contribute to the stability of communities. They propose that constant disturbances and species interactions in nonequilibrium models can maintain community diversity without requiring a stable equilibrium.
04

Analyze Relationship between Stability and Equilibrium

Compare how stability is perceived in both equilibrium and nonequilibrium models. In equilibrium models, stability is often associated with reaching and maintaining a stable state. In contrast, nonequilibrium models suggest stability can occur through continuous adaptation to disturbances, leading to resilient community organization rather than a fixed state.
05

Discuss Implications on Community Organization Models

Discuss how the understanding of stability affects the usage of equilibrium versus nonequilibrium models in community organization. Nonequilibrium models highlight the importance of dynamic changes over time, suggesting that stability can be maintained through adaptive strategies in constantly changing environments, unlike the static stability of equilibrium models.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Stability in Ecology
Stability in ecology is a fundamental concept that helps us understand the persistence of ecosystems. When we talk about ecological stability, we are referring to the ability of a community to return to its original or a new balanced state after experiencing a disturbance. This could be anything from a natural event like a fire or flood, to human-caused disruptions. Ecological stability is crucial because it ensures the survival of various species and the overall functioning of the ecosystem. There are different types of stability in ecology, such as:
  • Resistance: How well an ecosystem can resist changes when disturbed.
  • Resilience: How quickly an ecosystem can recover after a disturbance.
By studying stability, scientists can better predict how ecosystems will respond to changes, which is essential for conservation and management efforts.
Equilibrium Models
Equilibrium models are a classic approach in ecology that assume ecosystems reach a steady and stable state, where species populations remain relatively constant over time. This idea is built on the concept of balance in nature, where every species has an established role, and the ecosystem functions smoothly as long as these roles are maintained. In equilibrium models, stability is perceived as the ability to reach and hold onto this constant state despite disturbances. These models are informative for understanding systems where environmental conditions and species roles remain unchanged over a long period. However, equilibrium models can be limiting in dynamic environments, where continuous changes are the norm. Real-world ecosystems often face unpredictable disturbances, making it difficult for them to reach or stay in equilibrium. This understanding prompts ecologists to consider alternative frameworks, like non-equilibrium models, to better capture the complexities of natural environments.
Nonequilibrium Models
Nonequilibrium models present a different perspective by recognizing that ecosystems do not always achieve or maintain a stable equilibrium. These models emphasize the role of ongoing disturbances, such as climate change, natural disasters, or human activities, in shaping community structures. In nonequilibrium models, stability is not about reaching a fixed state but rather the ability of communities to continuously adapt and re-organize in response to changes. Unlike equilibrium models, nonequilibrium models are particularly useful in explaining high species diversity. They suggest that constant disturbances and species' interactions allow for new opportunities and adaptive strategies, maintaining community diversity and function in changing environments. Ecologists like Chesson and Case (1986) and DeAngelis and Waterhouse (1987) highlighted that these models can still achieve a form of stability. By embracing variability and adaptation, nonequilibrium models demonstrate how dynamic processes can contribute to the robustness and sustainability of ecological systems.

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Most popular questions from this chapter

In western North American grasslands, bison (Bison bison ) and prairie dogs (Cynomys ludovicianus) are considered keystone herbivores. What changes would you predict in the plant community of these grasslands if you set up an experiment in which bison were excluded from some plots, prairie dogs from other plots, and both species from a third set of plots. Fahnestock and Detling (2002) did this experiment for three years and got no vegetation changes in any of the plots. Is this sufficient information to reject the idea that these herbivores are keystone species?

Freshwater lakes have been suggested to have two alternate stable states, one of clear water dominated by macrophytes and one of murky water with high phytoplankton levels. If this is correct, would you predict that measurement of the clarity of lake water for many lakes would be bimodal with a peak of lakes at the clear end of the spectrum and another peak of lakes at the murky end, with few lakes in between? Why might this prediction be incorrect? Peckham et al. (2006) did this analysis for Wisconsin lakes and discuss the results obtained from satellite measurement of lake transparency.

The species-area curve rises continually as area is increased, implying that there is no limit to the number of species in any community. Is this a correct interpretation? What hypotheses can you suggest to explain why the number of species rises as area increases?

Trophic cascades are weaker in terrestrial systems compared with aquatic ones (Hall et al. 2007 ). One suggested explanation for this difference is that differences in body size between plants and their herbivores could be responsible (Shurin et al. 2006 ). Discuss the relative size of plants and their herbivores in aquatic ecosystems and in terrestrial ecosystems, and speculate how these differences might affect trophic cascades.

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