effect of development on environment and population ecology
TRANSCRIPT
Impact of Development On Environment
By Surabhi Tanwar
Human Impacts…
All Species Impact Environment
Understanding how humans interact with the biosphere is crucial to protecting the natural resources.
Humans Impact the Environment more than any species !
HumanActivities
that have changed the biosphere include
may have once causedoften relies on the methods of thehave resulted in
which increased
Food supply Pesticide useMonoculture
use
Hunting andgathering Agriculture Industrial
growthUrban
development
Extinctions oflarge animals
Greenrevolution
High standardof living
Increasedpollution
Industry
Industrial Revolution mid 1800’s.
Economy, Conveniences and Productivity advances
More “Stuff” More Waste
Increase use of Tools, Technology and Sciences
Use of Fossil Fuels Release of CO2 Green House Effect
Chemical and waste by products of manufacturing
Physical change of
Ecosystems.
Soil, Flore and Fauna… Concrete
Suburban Sprawl – Commuters to urban areas
Increase drive time to work & air pollution.
Biodiversity
Oxygen Production
Decreases
Increases
Water Run Off, Pollution, Heat, Habitat Problems
(Destruction, Degradation and Fragmentation)
Urban Development
Green House Effect and Global Warming
CO2 keeps heat radiation in Blanket
Carbon Dioxide is a primary green house gas, responsible for 60% of global warming.
Breathing Problems Irritation of Membranes
Burning Fossil Fuels is the BIGGEST Source (SMOG)
Ozone Layer is being broken down by CFC’s Found in Refrigerators, Coolants; this allows radiation to reach earth, causing genetic defects and cancer.
Air Pollution
Industry Transportation Ore smeltingPower generation
Abiotic and Biotic Issues of Fragmentation
Def.: Breaking up of a habitat into unconnected patches
Some Organisms need large area for gathering food
No migratory routes to reestablish populations lost due to natural disasters.
Climate change
Biological magnification
• Biological magnification– toxins may be concentrated from one trophic level to the next.
• DDT is an example
• DDT is a pesticide that was used extensively
• DDT is not biodegradable
• Organisms do not eliminate it
Fish-Eating BirdsLargeFish
Small Fish
Zooplankton
Producers
Water
10,000,000
1,000,000
100,000
10,000
1000
Magnification ofDDT Concentration
So what do we do?
On an Individual Level
Carefully use both renewable and non renewable resources : SUSTAINABLE USE .
Reduce, Reuse, Recycle.
References
http://www.niehs.nih.gov/research/programs/geh/climatechange/health_impacts/human_developmental/
https://en.wikipedia.org/wiki/Human_impact_on_the_environment
Presentation by: Surabhi TanwarStudent of Masters in Environmental Science- Institute of Science, Mumbai
POPULATION ECOLOGY
Population ecology is the study of populations in relation to environment, including environmental influences on density and distribution, age structure, and population size
By Surabhi Tanwar
Populations have size and geographical boundaries. The density of a population is measured as the number of individuals per unit
area.
The dispersion of a population is the pattern of spacing among individuals within the geographic boundaries.
The characteristics of populations are shaped by the interactions between individuals and their environment
MEASURING DENSITY
•Determination of Density• Counting Individuals• Estimates By Counting Individuals• Estimates By Indirect Indicators• Mark-recapture Method
N = (Number Marked) X (Catch Second Time) Number Of Marked Recaptures
Density – Number of individuals per unit of area.
Measuring density of populations is a difficult task. We can count individuals; we can estimate population numbers.
Fig. 52.1
Density is the result of an interplay between processes that add individuals to a population and those that remove individuals
Patterns of dispersion.
Within a population’s geographic range, local densities may vary considerably.
Different dispersion patterns result within the range.
Overall, dispersion depends on resource distribution.
Clumped. For many animals, such as these wolves, living in groups increases the effectiveness of hunting, spreads the work of protecting and caring for young, and helps exclude other individuals from their territory.
Uniform. Birds nesting on small islands, such as these king penguins on South Georgia Island in the South Atlantic Ocean, often exhibit uniform spacing, maintained by aggressive interactions between neighbors.
Random. Dandelions grow from windblown seeds that land at random and later germinate.
Additions occur through birth, and subtractions occur through death.
Demography studies the vital statistics that affect population size.
Life tables and survivorship curves.
A life table is an age-specific summary of the survival pattern of a population.
Demography is the study of factors that affect the growth and decline of populations
The best way to construct life table is to follow a cohort, a group of individuals of the same age throughout their lifetime.
Copyright © 2002 Pearson Education, Inc., publishing as Benjamin CummingsTable 52.1
A graphic way of representing the data is a survivorship curve.This is a plot of the number of individuals in a cohort still alive at each age.A Type I curve shows a low death rate early in life (humans).
The Type II curve shows constant mortality (squirrels).
Type III curve shows a high death rate early in life (oysters).
Survivorship Curve
Reproductive rates.
Demographers that study populations usually ignore males, and focus on females because only females give birth to offspring.
A reproductive table is an age-specific summary of the reproductive rates in a population.For sexual species, the table tallies the
number of female offspring produced by each age group.
Table 52.2
Reproductive Table
The traits that affect an organism’s schedule of reproduction and survival make up its life history.
Life histories are a result of natural selection, and often parallel environmental factors.
Some organisms, such as theagave plant, exhibit what is known as big-bang reproduction, where large numbers of offspring are produced in each reproduction, after which the
individual often dies. This is also known as semelparity.
Life histories are very diverse, but they exhibit patterns in their variability
Agaves
By contrast, some organisms produce only a few eggs during repeated reproductive episodes.
This is also known as iteroparity.
Most weedy plants, such as this dandelion, grow quickly and produce a large number of seeds, ensuring that at least some will grow into plants and eventually produce seeds themselves.
Some plants, such as this coconut palm, produce a moderate number of very large seeds. The large endosperm provides nutrients for the embryo, an adaptation that helps ensure the success of a relatively large fraction of offspring.
The life-histories represent an evolutionary resolution of several conflicting demands. Sometimes we see trade-offs between survival and reproduction when resources
are limited.
Limited resources mandate trade-offs between investments in reproduction and survival
For example,
red deer show a higher mortality rate in winters following reproductive episodes.
We define a change in population size based on the following verbal equation.
Change in population = Births during – Deaths duringsize during time interval time interval time
interval
The exponential model of population describes an idealized population in an unlimited environment
Using mathematical notation we can express this relationship as follows:
If N represents population size, and t represents time, then N is the change is population size and t represents the change in time, then:N/t = B-DWhere B is the number of births and D is the
number of deaths
We can simplify the equation and use r to represent the difference in per capita birth and death rates.
N/t = rN OR dN/dt = rN
If B = D then there is zero population growth (ZPG).
Under ideal conditions, a population grows rapidly.
Exponential population growth is said to be happening
Under these conditions, we may assume the maximum growth rate for the population (rmax) to give us the following exponential growth
dN/dt = rmaxN
Fig. 52.9
Typically, unlimited resources are rare.Population growth is therefore
regulated by carrying capacity (K), which is the maximum stable population size a particular environment can support.
The logistic model of population growth incorporates the concept of carrying capacity
Example of Exponential Growth
Kruger National Park, South Africa
LOGISTIC GROWTH RATEAssumes that the rate of populationgrowth slows as the population size approaches carrying capacity, leveling to a constant level. S-shaped curve
CARRYING CAPACITYThe maximum sustainable populationa particular environment can supportover a long period of time.
POPULATION GROWTH RATE
Figure 52.11 Population growth predicted by the logistic model
How well does the logistic model fit the growth of real populations?
The growth of laboratory populations of some animals fits the S-shaped curves fairly well.
Stable population Seasonal increase
Some of the assumptions built into the logistic model do not apply to all populations.It is a model which provides a basis from which we
can compare real populations.
Severe Environmental Impact
The logistic population growth model and life histories. This model predicts different growth rates for different populations, relative to
carrying capacity.
Resource availability depends on the situation.
The life history traits that natural selection favors may vary with population density and environmental conditions.
In K-selection, organisms live and reproduce around K, and are sensitive to population density.
In r-selection, organisms exhibit high rates of reproduction and occur in variable environments in which population densities fluctuate well below K.
K-Selected Species
Poor colonizers Slow maturity Long-lived Low fecundity High investment in care for
the young Specialist Good competitors
r-Selected Species• Good colonizers• Reach sexual maturity rapidly• Short-lived• High fecundity• Low investment in care for the
young• Generalists• Poor competitors
Populations are regulated by a complex interaction of biotic and abiotic influences
There are two general questions about regulation of population growth: What environmental factors stop a population from growing?
Why do some populations show radical fluctuations in size over time, while others remain stable?
Density-Dependent FactorsDensity-Dependent Factors
limiting resources (e.g., food & shelter)
production of toxic wastes
infectious diseases
predation
stress
emigration
Density-Independent Factors
Density-dependent factors
increase their affect on a population as population density increases.This is a type of negative
feedback.
Density-independent factorsare unrelated to populationdensity, and there is nofeedback to slow populationgrowth.
Fig. 52.13
A variety of factors can cause negative feedback. Resource limitation in crowded populations can stop population growth by
reducing reproduction.
Negative feedback prevents unlimited population growth
Intraspecies competition for food can also cause density-dependent behavior of populations.
Territoriality.Predation.
Waste accumulation is another component that can regulate population size.In wine, as yeast populations increase, they
make more alcohol during fermentation.However, yeast can only withstand an
alcohol percentage of approximately 13% before they begin to die.
Disease can also regulate population growth, because it spreads more rapidly in dense populations.
Carrying capacity can vary.
Year-to-year data can be helpful in analyzing population growth.
Population dynamics reflect a complex interaction of biotic and abiotic influences
Some populations fluctuate erratically, based on many factors.
Fig. 52.18
Other populations have regular boom-and-bust cycles.
There are populations that fluctuate greatly.
A good example involves the lynx and snowshoe hare that cycle on a ten year basis.
Regional Patterns of Population Change
No population can grow indefinitely, and humans are no exception
To maintain population stability, a regional human population can exist in one of two configurations:
Zero population growth = High birth rate – High death rate
Zero population growth =Low birth rate – Low death rate
The demographic transition is the move from the first state toward the second state
The demographic transition is associated with various factors in developed and developing countries
Bir
th o
r d
eath
rat
e p
er 1
,000
peo
ple
50
40
30
20
10 Sweden
2050
Year
20001900 195018500
18001750
Birth rate
Death rate
MexicoBirth rate
Death rate
Age Structure
One important demographic factor in present and future growth trends is a country’s age structure
Age structure is the relative number of individuals at each age
It is commonly represented in pyramids
Age structure diagrams can predict a population’s growth trends
They can illuminate social conditions and help us plan for the future
Rapid growthAfghanistan
AgeMale
Percent of population
Female
8 6 4 2 2 4 6 80
45–4940–4435–3930–3425–2920–2415–1910–14
5–90–4
85+80–8475–7970–7465–6960–6455–5950–54
Slow growthUnited States
AgeMale
Percent of population
Female
6 4 2 2 4 6 80
45–4940–4435–3930–3425–2920–2415–1910–14
5–90–4
85+80–8475–7970–7465–6960–6455–5950–54
8
Decrease Italy
Male
Percent of population
Female
6 4 2 2 4 6 808
Infant Mortality and Life Expectancy Infant mortality and life expectancy at birth vary greatly among developed and
developing countries but do not capture the wide range of the human condition
Infa
nt
mo
rtal
ity
(dea
ths
per
1,0
00 b
irth
s)
Developedcountries
Developingcountries
Developingcountries
Developedcountries
Lif
e ex
pec
tan
cy (
year
s)
60
60
50
40
4030
20
2010
0 0
Ecological Footprint
How many humans can the biosphere support?
The carrying capacity of Earth for humans is uncertain
The ecological footprint concept summarizes the aggregate land and water area needed to sustain the people of a nation
It is one measure of how close we are to the carrying capacity of Earth
Countries vary greatly in footprint size and available ecological capacity
Bibliography
http://www.cfr.washington.edu/classes.esrm.450/lecture11/harvest.pdf
http://www.csun.edu/~msteele/classes/marine_ecology/lectures/4_population%20ecology%201.pdf
http://warnercnr.colostate.edu/~gwhite/fw662/web_docs/Winkelman%20Lecture%201.pdf
This presentation is compiled by:- Surabhi Tanwar
Masters Student in the Environmental Sciences
Institute of Science, Mumbai