ch. 9 communities. community characteristics many!

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Ch. 9 Communities

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Page 1: Ch. 9 Communities. Community Characteristics Many!

Ch. 9 Communities

Page 2: Ch. 9 Communities. Community Characteristics Many!

Community Characteristics• Many!

Page 3: Ch. 9 Communities. Community Characteristics Many!

• Mechanism: Opening occurs– Trees die: damage by ice (winter), drying (summer)

• Wave moves 1-3 m/yr (cycle 60 yr)

Disturbances

Page 4: Ch. 9 Communities. Community Characteristics Many!

• Elements cycle• Communities differ in

rates, where nutrients located

Nutrient Cycles

Page 5: Ch. 9 Communities. Community Characteristics Many!

• Ex: • Tropical rain forest

– C in

– Litter decay weeks

Nutrient Cycles

?

Page 6: Ch. 9 Communities. Community Characteristics Many!

• Ex: • Tropical rain forest

– C in

– Litter decay weeks

• Subalpine forest– C in

– Decay 1/2 life 10 yr

Nutrient Cycles

Page 7: Ch. 9 Communities. Community Characteristics Many!

• Standing biomass: aboveground dry – desert 100 kg/ha– rain forest 500,000 kg/ha

Productivity

Page 8: Ch. 9 Communities. Community Characteristics Many!

• Net primary productivity: energy to biomass/ Productivity

Page 9: Ch. 9 Communities. Community Characteristics Many!

• Desert: • Mangrove forest, marsh, swamp:

Net primary productivity (Pn)

B=standingbiomass (tons/ha)

Pn=net primary productivity(metric tonsper ha/yr)

Page 10: Ch. 9 Communities. Community Characteristics Many!

• Energy conversion efficiency: % incoming • Note small values

– Rain forest _____ efficiency desert!

Energy Conversion

Page 11: Ch. 9 Communities. Community Characteristics Many!

Community Characteristics• Change through time......

Page 12: Ch. 9 Communities. Community Characteristics Many!

Community Characteristics• Change through time......• Succession: will discuss later• Stability: response community to

disturbance/stress• Several components:

– Resistance: ability remain unchanged during stress

– Resilience: rate return to normal

– Persistence: extent community unchanged over time

Only resistance not worth effort to quantify. WHY??

Page 13: Ch. 9 Communities. Community Characteristics Many!

Community Characteristics• Change through time......

Page 14: Ch. 9 Communities. Community Characteristics Many!

Community Characteristics• Change through time......• Succession: will discuss later

Page 15: Ch. 9 Communities. Community Characteristics Many!

Community Characteristics• Change through time......• Succession: will discuss later• Stability: response community to

disturbance/stress• Several components:

– Resistance: ability remain unchanged during stress

– Resilience: rate return to normal

– Persistence: extent community unchanged over time

Only resistance not worth effort to quantify. WHY??

Page 16: Ch. 9 Communities. Community Characteristics Many!

Community Characteristics• Resistance is futile.....

Page 17: Ch. 9 Communities. Community Characteristics Many!

Classification of communities

And now, for something completely different....

Page 18: Ch. 9 Communities. Community Characteristics Many!

Classification of communities• Data collection (sampling) covered in lab lectures

Page 19: Ch. 9 Communities. Community Characteristics Many!

Classification of communities• Data collection (sampling) covered: lab lectures• Recall…….• Association: more formal and precise unit

– basic unit plant community classification

– composed of stands (stand: particular member association)

– taxonomic analogy: association = species, stands = individuals

• How decide which stands belong to same association?

Page 20: Ch. 9 Communities. Community Characteristics Many!

Classification of communities

• 4 major approaches:• 1) Tabular methods• 2) Cluster analysis• 3) Association analysis• 4) Ordination methods

Page 21: Ch. 9 Communities. Community Characteristics Many!

Tabular methods

Tables…….

Page 22: Ch. 9 Communities. Community Characteristics Many!

Tabular methods• American approach: based on “dominance”

(physiognomic)– Rel. cover, density, basal area, biomass

– Importance

Plant Ecology

Page 23: Ch. 9 Communities. Community Characteristics Many!

Tabular methods• Association based on (layers)

– Ex, Pinus ponderosa/Agropyron spicatum woodland

• Samples: some

Page 24: Ch. 9 Communities. Community Characteristics Many!

Tabular methods• European approach: based • Braun-Blanquet technique (relevé technique)

Sounds French

Page 25: Ch. 9 Communities. Community Characteristics Many!

Tabular methods• Braun-Blanquet technique (relevé technique)• Sample called relevé

– 1) Get

– 2) Choose

– 3) Compile

– 4) Do sp.-area

– 5) Place 1 (relevé) subjectively

– 6) Data: sp.

Page 26: Ch. 9 Communities. Community Characteristics Many!

Tabular methods• Classification: table method. • Sort species: discard widespread & rare,

Cover, sociability (dispersion)

Page 27: Ch. 9 Communities. Community Characteristics Many!

Tabular methods• Differentiated table has differential species: characteristic

of – Have hi fidelity: few stands

– Have hi constancy: most stands

Page 28: Ch. 9 Communities. Community Characteristics Many!

Tabular methods• Note: • 1) • 2) differential sp.

– Ex, moss sp. on trees

Olympic National Park,Washington

Page 29: Ch. 9 Communities. Community Characteristics Many!

Cluster analysis• Expresses ____________ of stands graphically (2 D)• Similarity? Coefficient of Community (CC)• CC: how

Page 30: Ch. 9 Communities. Community Characteristics Many!

Cluster analysis• 2 major indices:

– Jaccard’s Index – Sorensen’s Index

• Presence or cover (“weighted by cover”)• Values: from 100 (same) to 0 (no sp. in common)

Page 31: Ch. 9 Communities. Community Characteristics Many!

Cluster analysis• Generate dendrogram (tree diagram ________________)• Y axis = “resolving power”: 40 great power, 0 no power,

to distinguish diffs.

Page 32: Ch. 9 Communities. Community Characteristics Many!

Cluster analysis• Decide level similarity:

– CC = 10 (threshold III): 2 associations– CC = 20 (threshold II): 7 associations– CC = 30 (threshold I): 15 associations

• Result: associations based