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One of the assumptions of maximum sustained yield models is that birth, death, and growth responses to population density are repeatable, such that a given population density will always be characterized by the same vital statistics. What mechanisms may make this assumption false?

Short Answer

Expert verified
Environmental changes, genetic variability, and species interactions can cause birth, death, and growth rates to vary, violating MSY model assumptions.

Step by step solution

01

Understand the Concept of Maximum Sustained Yield

Maximum Sustained Yield (MSY) models are used to determine the largest yield (or catch) that can be taken from a specific species' stock over an indefinite period under steady environmental conditions. It is based on the assumption that a population will reach a particular size (or density) that can produce a maximum sustainable catch.
02

Identify the Simplifying Assumption

MSY models assume that birth, death, and growth rates are consistent at each population density. This implies that the vital statistics (birth rates, death rates, and growth rates of a population) at any given density are repeatable, leading to predictable outcomes over time.
03

Explore Potential Mechanisms for Variability

In reality, environmental factors such as climate changes, food availability, disease outbreaks, predation, and human activities can influence birth, death, and growth rates. These factors can vary over time and may cause the population to respond differently to the same density at different times.
04

Consider Biological and Genetic Variation

Genetic variation within the population can lead to differences in how individuals reproduce, survive, and grow. Over time, natural selection may favor traits that alter these rates, thus affecting the overall population dynamics and making them less predictable.
05

Recognize the Influence of Interacting Species

Species interaction, such as competition and predation, can also change how a population responds to density. These interactions might not be constant and can lead to differences in birth, death, and growth rates, depending on the presence or absence of other species.

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Key Concepts

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

Population Dynamics
Population dynamics is a way to study how populations of organisms change over time. This includes looking at how the size of a population increases or decreases based on the rates of births, deaths, and migration. At its core, it helps us understand the natural patterns and cycles that populations go through.

When considering Maximum Sustained Yield (MSY), it's important to note that it relies heavily on predictable population dynamics. However, in the real world, the behavior of populations is not always consistent. Various factors can cause fluctuations in these dynamics, making it difficult to predict exactly how many individuals can be harvested sustainably.

Understanding these changes is crucial for conservation and management efforts. By examining how populations fluctuate, scientists can make better predictions and recommendations for maintaining sustainable levels of wildlife or fish stocks.
Environmental Variability
Environmental variability refers to the changes in environmental conditions over time. These changes can occur on a small scale, such as daily temperature fluctuations, or on a larger scale, such as seasonal changes or climate trends.

When dealing with populations, environmental variability can significantly impact population dynamics. For example, a harsh winter can increase death rates, while an abundant summer may boost birth rates. Variability may also affect the availability of resources like food and water, impacting growth rates.

In the context of MSY, environmental variability calls into question the assumption that population responses remain constant across time. This recognition helps highlight the importance of considering variable environmental conditions when managing species to ensure that populations are not over-harvested during unfavorable times.
Species Interaction
Species interaction involves the various ways in which species interact with each other. These interactions can include predation, competition, symbiosis, and parasitism. Each interaction plays a critical role in shaping the population dynamics of a species.

For example, if a new predator enters an ecosystem, the prey species may experience higher death rates. Conversely, if a competing species is removed, a species might experience increased growth and reproduction due to less competition for resources.

In MSY models, these interactions complicate the predictability of population responses to density. Including species interaction in management plans can lead to a more accurate understanding of population dynamics, ensuring interventions are effective and sustainable.
Genetic Variation
Genetic variation is the diversity in gene frequencies within a population. It means different individuals have unique combinations of genes, which can lead to varying traits. This variation is critically important for the adaptability and resilience of a population. Individuals with advantageous traits are more likely to survive and reproduce, passing on these traits to future generations. This continuous process can lead to evolutionary changes in the population over time. In the context of MSY, genetic variation can make exact predictions challenging. As natural selection favors certain traits, the population's birth, death, and growth rates may change. This inherent unpredictability necessitates flexible management strategies that consider evolving genetic traits to sustainably manage species. Understanding the role of genetic variation helps ensure conservation efforts do not inadvertently cause harm or mismanage resources.

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Most popular questions from this chapter

Many Web sites that advise consumers on the fish species that they should eat (because they are harvested in a sustainable manner) recommend against buying orange roughy (Hoplostethus atlanticus ). Hilborn et al. (2006) challenged this interpretation and showed that orange roughy were being harvested very near to maximum sustained yield and were not being overfished. Discuss this controversy and explain the principles you would use to define a stock that was overharvested.

Ludwig and Walters (1985) showed in a computer simulation that the management of a hypothetical fishery could be done better using simple yield models like the logistic equation than by using more realistic, detailed models like dynamic pool models. Discuss why this might be correct for a real fishery.

Fish communities consist of many different species, only a few of which are typically the focus of commercial or recreational fishing, One way to manage such fisheries is to use standard criteria for maximum sustained yield on the single species of interest, and to ignore the other species in the community. Discuss how this simplified approach might have disastrous consequences for the other species in the ecosystem. Walters et al. (2005) discuss this issue.

The Peruvian anchovy fishery (Figure 4 ) is still among the largest fisheries in the world. What happens to this large biomass of fish once it is caught?

Examine the catch statistics for a fishery in your area or in an area of interest to you. Sources of data on the Web might be the Fisheries Statistics of the United States, Fisheries Statistics of Canada, or the Food and Agricultural Organization's Web site. If the fishery you choose has been managed, is there any evidence of overfishing?

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