Transcript Lisa Orman

The effects of human disturbances
on the productivity of ecosystems
Lisa Orman
February 28,
EEES 4760
Energy flow
 Light converted by plants
 Into organic matter
 Transferred into other organisms
 Nutrients (N, P) cycle between living and
non living parts of ecosystem
 These nutrients flow between many
different levels, from cells to ecosystems
Healthy ecosystems
 Healthy ecosystems are able to sustain
functionality and services
 Healthy ecosystems retain soil, water,
nutrients and organic matter
 Landscapes are composed of two or more
land units positioned so they are linked by
processes
The connection between landscape
heterogeneity and disturbance
dynamics is one of the most
important challenges facing
ecologists today
Turner et al, 2001
Disturbances
Disturbances
 Produce a series of successional stages
that maintain structure and function
 The degree of impact is important in the
flow of energy
 Minor disturbances can occur at regular
intervals
 Large disturbances can completely
change the nutrient flow
The ecosystem process is
ultimately determined by the
interaction between the biological
community and environmental
factors
Zhang, 2007
Ways to study ecosystem function
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Sapling density
Leaf area
Aboveground net primary production
Aboveground biomass
Carbon cycle
Percent of ground cover
Net primary production
 Amount of solar energy converted to chemical energy
 Net ecosystem productivity
 Balance of gross primary production minus ecosystem respiration
NPP
 Primary source of food for heterotrophic
organisms
 Influenced by
 Regional prevailing climate
 Variation in fractional vegetation cover
 Degree to which an ecosystem is altered relative to
nearby non urban areas, fertilization, irrigation, and
invasive species
 Seasonal patterns of photosynthetic activity in line
with urban heat island hypothesis
 Imhoff et al, 2004
Carbon storage and budgets
 Net ecosystem carbon balance represents
the net flux of C entering or leaving an
ecosystem
 Typically after a disturbance, NECB will be
negative due to decomposition
 Over time, growth rate become greater
than decomposition rates
Case studies
 Urban sprawl
 Drylands
 Forests
 Spatial resolution
Urban sprawl
Urban sprawl
 One third to one half of the planet’s
surface has been transformed by humans
(Imhoff et al, 2004)
 In 1992, urban landscape increased by
25% in the U.S. (Golubiewski, 2006)
 Typically urban sprawl takes over highly
productive lands--lands with high NPP
Urban sprawl
 Replaces native vegetation with suburban
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turfgrass, shrubs, and the occasional tree
Requires irrigation and fertilization
Non-native species are often bred to outcompete native species
Urbanization accounts for a loss of 4.15 x 10^-2
Pg of photosynthetically fixed carbon
Global NPP decrease of 5% (Imhoff et al, 2004)
Drylands
Drylands
 40% of the land surface of the globe is
drylands
 In Australia, they cover 5 million sq km
 Used for rangelands for domestic livestock
Wheatbelt
 180,000 sq km
 90% cleared
 Fragmented
landscape
 Remaining vegetation
plays an important
goal in the
conservation of the
region
Chequamegon National Forest
Chequamegon National Forest
(CNF)
 Management dominated by timber
production and silvicultural techniques
 AGB used to study productivity, C cycles,
nutrient allocation, and fuel accumulation
 Remote sensing failed to estimate
biomass levels at landscape level
 Field observations are necessary to
understand landscape levels
Pacific Northwest
Pacific Northwest
 Accumulation of biomass in PNW coniferous
forests among highest in the world
 Logging of the PNW creates a large C source
(burning and decomposition) and C sink (longlived forest products)
 Estimates of NPP and NEP greatly affected by
satellite resolution
 As land use becomes more intensive and
extensive, scale dependent errors may become
potentially large
In conclusion
 The function of an ecosystem can be
measured by the biomass and production
of the ecosystem
 The health of an ecosystem is not always
so straight forward
 Landscape ecology needs continuous
studies to learn how patterns and their
dynamics influence ecological processes
(Turner, 2001)