Newport Beach Harbor/Back Bay Bivalve Restoration Project Computational modeling approaches to ecosystems Rationalize interactions Predictive ? Concepts.

Slides:



Advertisements
Similar presentations
POPULATION ECOLOGY.
Advertisements

By Edward Harrison.  This refers to the amount of energy fixed per unit area per unit time in an ecosystem by a particular trophic level. The net productivity.
What’s an Estuary?.
Estuaries Place where freshwater from a river or stream mixes with salt water from the ocean Embayment- Coastal area that is partially cut off from the.
LIVING SYSTEMS WATERSHEDS
POPULATION DENSITY, DISTRIBUTION & GROWTH.  Density is a measure of how closely packed organisms are in a population  Calculated by … DENSITY # of individuals.
Ch 5- Population Why do populations change?
By: ESAI, ROBIN, and CHELSEA
Chapter 4 Populations. Properties of Populations Population: a group of organisms of 1 species in the same area 1) Population Size (usually estimated)
Lecture 16 Population Dynamics Ozgur Unal
Chapter 52 Population Ecology. Population ecology - The study of population’s and their environment. Population – a group of individuals of a single species.
Warm Up What is an ESTUARY? /watch?v=XLumSN4G5P4.
Biology Chapter 4 Population Ecology
Populations change over time. Why does the population dip at about 1400 CE? When does human population reach 1 billion? 2 billion?
Population Dynamics – Growth Rates Chapter 4. Learning Targets I can… 1. Explain the concept of carrying capacity 2. Model how limiting factors and organism.
4 CHARACTERISTICS OF A POPULATION 1.Geographic Distribution/ Range- How much area does the population cover? 2.Density- How many members of the population.
54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals.
Population Dynamics Studying Populations Changes in Communities
Click on a lesson name to select. Population Biology Lesson 6.
Population Ecology Chapter 4. GPS SB4 Students will assess the dependence of all organisms on one another and the flow of energy and matter within their.
Essential Questions What are the characteristics of populations and how they are distributed? What are the differences between density-independent and.
Population Ecology. Population Essential Questions What factors influence populations in ecosystems? How do human population dynamics affect the world.
Population Growth Biology Ch 5-1& 5-2. Exponential Growth  Under ideal conditions with unlimited resources and protection from predators/disease, a population.
How populations grow and Limits to growth. Three important characteristics of a population are 1. Geographic distribution 2. Density 3. Growth rate Characteristics.
Estuaries November 10. Flushing time (or residence time): time required to replace water with “new” water. Several ways to compute: Flushing time (or.
Thursday Sept 12/Friday Sept 13 AGENDA Stamp and review homework Activity: Interactions Among Organisms Notes: Populations in Ecosystems HOMEWORK Read.
ENVH 4387/53871 Principles of Microbial Ecology Lecture Topic Number 2 Population Dynamics ENVH 4387/5387 Biological Analysis.
Examples Lecture Three Plan 1)Finish sketching logistic growth 2)Talk about the pros and cons of logistic model 3)Introduce the method of integrating factors.
Chapter 4: Population Ecology Essential Questions: EQ: How would changes in populations affect the flow of energy and matter in the ecosystem? EQ: How.
Populations. Remember a population is… A group of the same species in the same area at the same time. A group of the same species in the same area at.
Click on a lesson name to select. Population Density.
OCEANS INTRO AND ESTUARY REVIEW Module 7. THE OCEAN IS A DYNAMIC SYSTEM- ALWAYS CHANGING!  The ocean is an important source of food and mineral resources.
ECOSYSTEM ORGANIZATION And POPULATIONS OVERVIEW. Ecosystem Organization Population is the number of individuals of the same species in the same place.
Population Ecology and the Distribution of Organisms
Populations - Chapter 19.
Population Dynamics Biology I.
the number of individuals per unit area
Section 1: Population Dynamics
The number of organisms per unit area
GROWTH MODELS pp
Energy Flow and Populations
Chapter 4 Population Ecology
Population Characteristics
Population Dynamics: Studying Populations Changes in Communities Unit 1: Ecology SB4: Assess the dependence of all organisms on one another and the flow.
POPULATION ECOLOGY.
3. Population Growth.
Chapter 4 Population Ecology
Population and Community Ecology
Population Ecology Notes
Population Dynamics Dynamic=“changing”
The number of _____________ per unit area
Why are there so many people?!
Characteristics of Populations
Populations Characterized by: Geographic distribution Density
MATH 175: NUMERICAL ANALYSIS II
Populations Objective: A4 - Analyze how populations & communities respond to abiotic & biotic factors and recognize that long-term survival of a species.
Presented by Mr. Rainbeau
EQ: How do we measure populations?
CHANGES to ECOSYSTEMS and POPULATIONS
The number of organisms per unit area
Populations.
The number of organisms per unit area
Chapter 5 Population Growth.
Unit 2: Communities & Populations
Biodiversity, Species Interactions, and Population Control
Chapter 5 Population Growth.
Population Ecology.
Populations Chapter 5 Unit 2.
5-1 and 5-2 Population Growth
Chapter 4 Population Ecology
Presentation transcript:

Newport Beach Harbor/Back Bay Bivalve Restoration Project Computational modeling approaches to ecosystems Rationalize interactions Predictive ? Concepts Variables Parameter estimates Models Bath tub (simple) Cyclical (dynamic) Spatial (non-uniform, complex)

Newport Harbor Back Bay

Newport Back Bay Salt Marsh

Newport Harbor Back Bay

Harbor Shoreline = 16 km Area = pix 2 = 3,500,000 m 2 = 1870 x 1870 m Average depth = 4 m (13ft) (range 2.5 m (8ft) to 6 m (20ft) Volume = 14,000,000 m 3 (8,700,000 m 3 – 21,000,000 m 3 ) Upper Newport Bay Low tide channels = pix 2 = 1,000,000 m2 = 1015 x 1015 m Average depth = 2.5 m Volume = 2,500,000 m 3 High tide area = pix 2 = 579,040 m2 = 761 x 761 m Average depth = 0.5 m Volume = 290,000 m 3 Flood plain = pix 2 = 1,800,000 m2 = 1355 x 1355 m Average depth = 0.5 m Volume = 900,000 m 3 Newport Beach Harbor

Average ~ 1.3 m (4.5 ft)

Area = pix 2 = 3,500,000 m 2 = 1870 x 1870 m Average depth = 4 m (13ft) (range 2.5 m (8ft) to 6 m (20ft) Volume = 14,000,000 m 3 (8,700,000 m 3 – 21,000,000 m 3 ) Tidal range ± 1.3 m Volume = 4,500,000 m 3 Harbor Entrance = 220 m Depth = 6 m (20 ft) Cross-sectional area = 1320 m 2 Tidal cycle (high tide-low tide) ~ 6 hrs or 360 mins Flow rate (m 3 /min) at entrance = 12,600 m 3 /min Surface speed = 10 m/min (or km/hr) Tidal Flow

Bivalve Statistics Typical oyster filtration rate = L/day = 0.92 – 4.2 L/hr = 15 – 70 mL/min Average size of oyster bivalve = 5 cm No of of bivalves/m 2 = 100 biv/m 2 (range: 10 – 400 biv/m 2 ) Filtration rate 10 biv/m 2 = 150 mL/min – 7, biv/m 2 = 1,500 mL/min – 7, biv/m 2 = 6,000 mL/min – 28,000 mL/min Filtration rate per 10 biv/m 2 = 0.15 L/min x 360 min = 54 L – biv/m 2 = 540 L – biv/m 2 = 2160 L – 10,080 L Filtration rate per 10 biv/m 2 = m 3 – m 100 biv/m 2 = m 3 – m 400 biv/m 2 = m 3 – m 3

Area = pix 2 = 3,500,000 m 2 = 1870 x 1870 m Tidal range ± 1.3 m Volume = 4,500,000 m 3 Total Number of Bivalves in 10 biv/m 2 = 100 biv/m 2 = 400 biv/m 2 = 1,400,000,000 Filtration rate per 10 biv/m 2 = m 3 – m 100 biv/m 2 = m 3 – m 400 biv/m 2 = m 3 – m 3 Volume filtered per 10 biv/m 2 = x 3,500,000 = 190,000 m 3 to 880,000 m 3 (4 – biv/m 2 = 1,900,000 m 3 to 8,800,000 m 3 ( biv/m 2 = 7,500,000 m 3 to 29,000,000 m 3 (166 – 640 %) % of Newport Harbor Water Filtered per tide

San Diego Creek and Springs Newport Harbor Entrance Spatial Gradients of Variable Factors Nutrient distribution Bivalve habitat flow out = m 3 /min [Nutrient] = #/m 3 bivalve density (#/m 2 ) flow in = m 3 /min

Bivalve habitat (2D  #/m 2 )

San Diego Creek Newport Harbor Entrance Spatial Gradients of Factors Tidal changes in volume (  m 3 ) & surface area (  m 2 ) Relevance to habitat (#/m 2 )

Bivalve Density: Low, Medium, High ?

San Diego Creek Cyclical Changes Newport Harbor Entrance filtration = m 3 /min growth =  #/min tidal flow = ± m 3 /min turbidity = #/m 3

San Diego Creek Newport Harbor Entrance Stochastic Events Weather Surge run-off

San Diego Creek Newport Harbor Entrance To simplify let’s make some assumptions …. i)Conservation of components (in = out) ii)Well mixed system iii)Volume and surface area = constant iv)1 principal factor determines phytoplankton growth  bivalve population Input = [In] x Flow in = #/m 3 x m 3 /min i.e. #/min Output = [Bay] x Flow out = #/m 3 x m 3 /min i.e. #/min

Bivalve Ecosystem Nutrients (N, P, Fe) Fresh water flow Sunlight Salt water (tidal) Phytoplankton % dieoff PP carrying capacity (max population size) Biv carrying capacity (max population size) % dieoff food chain Bivalves turbidity salinity turbidity Pollutants toxicity

Population Growth Exponential growth – x t = x o (1+r) t or P (t) = P o (1+ growth rate) time interval – Solving over time (dx/dt) for changes in population size …. x = ae kt or P(t) = P ini. e (growth constant.time) Population grows rapidly for k>0

Logistic growth (Verhulst-Pearl equation) – Initial stage of growth is approximately exponential; then, as saturation begins, growth slows, and, at maturity, net growth stops – P(t) = 1/(1+e -t ) Solving over time …. dP(t)/dt = P(t). (1-P(t)) For biological systems where rate of reproduction is proportional to both the existing population and the amount of available resources  self-limiting growth of population – dP/dt = rP(1-P/K) where r = growth rate and K is the carrying capacity – note early exponential growth depends on +rP; later, competition for food/space etc. is due to larger term –rP 2 /K carrying capacity (K) Exponential growth resource limits (feedback) P(t) = (K.P o.e rt )/(K+P o (e rt -1)) where lim P(t) = K t→∞ (r = frac. change/time)

What is limiting for phytoplankton (PP) growth ? Nutrient sources (N, P, Fe) or sunlight – Are these constant, variable or variable + periodic (seasonal) Will these variables change the growth rate (r), carrying capacity (K) or both ? How is increasing [PP] related to turbidity  reduces sunlight  reduces growth ? Nutrient Level Change in Bay d(V.C bay (t))/dt = C in.Q – C bay (t).Q – K cons P(t).V ⇒ dC bay (t)/dt = Q/V(C in -C bay ( t )) – k cons.P( t ) ……. Eq. 1 where …. C = nutrient conc. (moles/m 3 ); Q = flow rate (m 3 /min) K cons = consumption rate (moles of nutrients/moles of PP.min)

Phytoplankton Growth Growth of Phytoplankton dP(t)/dt = k growth C bay (t)P(t)(1-P(t)/P max ) – k deg (V/min)P biv …. Eq. 2 k growth C bay (t) is growth rate term (r) P max is PP carrying capacity (K) – k deg (V/min)P biv is clearance rate of PP by bivalve population Turbidity Turb(t) = k opt.P(t) ….. Eq. 3 Turb(t) is interdependent with self-limiting growth from equation 2 and efficiency/size of bivalve population (clearance rate) k opt is a conversion constant

Bivalve Population Growth Can write similar equations for bivalve population changes….. – Dependent on [PP] (measured as ∞ turbidity) – Bivalve K biv (carrying capacity) is dependent on [PP] and time- varying variables (e.g. seasons) – Bivalve growth rate (r biv ) is dependent on filtration rate (efficiency) and [PP] (resource) What factors might affect efficiency ? – Habitat (spatial differences: tidal flats v. channels) – Pollution (impaired growth)

Parameter Exploration