geocens presentation on the need of spacial data in geoscience and geocens by thomas hoffman in...
DESCRIPTION
Thomas Hoffman presented to the GeoCENS Senior Steering Committee in Banff, September 23, 2010.TRANSCRIPT
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Thomas Hoffmann
Banff, Sep. 18th 2010
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Kananaskis River (Rocky Mnts.)
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contents
1. Nature of fluvial (environmental) systems2. Human impact on sediment in the Rhine
catchment– Scientific problem– Data needs GeoCENS
3. Salmon and geomorphology– Scientific problem– Data needs GeoCENS
4. Summary
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contents
1. Nature of fluvial (environmental) systems2. Human impact on sediment in the Rhine
catchment– Scientific problem– Data needs GeoCENS
3. Salmon and geomorphology– Scientific problem– Data needs GeoCENS
4. Summary
![Page 5: GeoCENS presentation on The need of spacial data in geoscience and GeoCENS by Thomas Hoffman in Banff, September 23, 2010](https://reader033.vdocument.in/reader033/viewer/2022060110/555bbc67d8b42a96108b4f91/html5/thumbnails/5.jpg)
Rio Beni (Bolivia)
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time & space
Environmental systemsare systems that are:• variable in time and
space• physical systems with
a history• self organizing• hierarchical• response is dependent
on spatial scale
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Time(years)
Space (m²)
Watershedphysiography
Valleymorphology, river
profiles
Channel reachmorphology, sedimentrouting, channel width
and depth
Habitat unitmorphology, grainsize, bedforms
109101 102 103 104 105 106 107 108
101
102
103
104
105
106
107
time & space
Environmental systemsare systems that are:• variable in time and
space• physical systems with
a history• self organizing• hierarchical• response is dependent
on spatial scale
Timescales of adjustment of channel formcomponent with given length dimension
modified after Montgomery (2004)
100
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contents
1. Nature of fluvial (environmental) systems
2. Human impact on the Rhine catchment– Scientific problem
– Data needs GeoCENS
3. Salmon and geomorphology– Scientific problem
– Data needs GeoCENS
4. Summary
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problem: soil degradation
• Globally, nearly 2 billionhectares of land are affected byhuman induced degradation ofsoils (UN, 2000)
• Main driver of soil degradation:soil erosion
• Old world: long human impact(several 1000 years)
long term perspective neededGrabenerosion auf einer gerade bestellten RapsflächeM. Firelinghaus
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Fluss Regen in der Oberpfalz hat beim Augusthochwasser 2002
Grabenerosion auf einer gerade bestellten RapsflächeM. Firelinghaus
Sources
Floodplains asmajor sinks
source to sink
Floodplains as proxies of environmental change
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floodplain sedimentation
Hoffmann et al. (2009, Catena)
baseline SR: 0.5 mm/yr
Increase of mean SRsince approx. 2000 BP
strong human impact
sedimen
tation
rate
[mm/yr]
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Increase of erosionIncrease of humanimpact
Problem: link betweenerosion and depositionrates?
Hoffmann et al. (2009, Catena)
Uniform increase of meansedimentation rate
floodplainsedimentation
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Fluss Regen in der Oberpfalz hat beim Augusthochwasser 2002
Grabenerosion auf einer gerade bestellten RapsflächeM. Firelinghaus
Sources
Floodplains asmajor sinks
Floodplains as proxies of environmental change
source to sink
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Coon Creek (Trimble 1999, Science)
• Cause: Decreased soilerosion due toconservation measures
• Affects: constantsediment delivery
source to sink
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connectivitysource to sinkRhine catchment(Lang et al. 2003, Hydrological Processes)
• Cause: Long humanimpact on hillslopeerosion, with varyingdegree of deforestation
• Affects: Buffered anddelayed response offloodplains
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what is needed?• Time dependent spatial information of external drivers– human impact
• Location of agricultural areas at different scales:– large scale population distribution– small scale terrain position: slope/valley
• Agricultural practice:– non plough, plough– size of agricultural fields
– climate/hydrology• temperature• precipitation• discharge (magnitude & frequency)
• Time dependent spatial information fluvial response– Sediment flux connectivity hillslope channel– Channel type + morphology (meandering/braiding)
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land use history in GermanyRoman population (~2ka BP)Neolithic population (~7 ka BP)
Zimmermann at el (2009)
NorthSea
European Alps
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what is needed?• Time dependent spatial information of external drivers– human impact
• Location of agricultural areas at different scales:– large scale population distribution– small scale terrain position: slope/valley
• Agricultural practice:– non plough, plough– size of agricultural fields
– climate/hydrology• temperature• precipitation• discharge (magnitude & frequency)
• Time dependent spatial information fluvial response– Sediment flux connectivity hillslope channel– Channel type + morphology (meandering/braiding)
![Page 19: GeoCENS presentation on The need of spacial data in geoscience and GeoCENS by Thomas Hoffman in Banff, September 23, 2010](https://reader033.vdocument.in/reader033/viewer/2022060110/555bbc67d8b42a96108b4f91/html5/thumbnails/19.jpg)
human impacton the Rhine
before 1850 AD
today
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data typesVector• Area:
– land use
– geology
– sediment storage location
• Line:– sediment transport paths
(e.g. river network)
– breaks of sediment transport(e.g. field edges)
• Point:– Stratigraphical record
(slope, floodplain)
– Dating (e.g. 14C ages)
Raster• Topography (DEMs)
• Climate data– temperature
– precipitation
time dependent
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data typesVector• Area:
– land use
– geology
– sediment storage location
• Line:– sediment transport paths
(e.g. river network)
– breaks of sediment transport(e.g. field edges)
• Point:– Stratigraphical record
(slope, floodplain)
– Dating (e.g. 14C ages)
Raster• Topography (DEMs)
• Climate data– temperature
– precipitation
time dependent
Necessary meta information!• Time scale• Spatial representativeness
Upscaling of point dataChanging conditions!e.g. changing land use in catchment of a gauging station
• Connectivity between points/objects extrapolation• Quality evaluation!!!
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GeoCENS application
• Temporal GoogleEarth• Visualization of time dependent spatial data– Point data, line data and areal data
e.g. visualization of changing land use (arealmaps), 14C data of dated hillslope and fluvialsedimentTime scales: ~10³ yearsFrom sensors to palaeo archives
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Salmon &Geomorphology
©http://www.thinksalmon.com
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Fish habitat and geomorphology
Strong decline of salmon populations
© http://www.thinksalmon.com
0
10000
20000
30000
40000
50000
60000
1860 1880 1900 1920 1940 1960 1980 2000
ColumbiaRiverCo
mmercialLand
ings
(inTh
ousand
sof
Poun
ds)
years
Chinook CohoSockeye ChumSteelhead Total
Source: WDFW (2002)
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the big four (five) H´s
Salmon
Harvest(overfishing)
Hatcheries Hydropower(dams)
Habitat
HistoryAssessment if restoration ispossible © http://www.thinksalmon.com
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salmon live cycle and habitats
deep shelteredpools to rest
buried instreambed
shelter to grow,forage and hidefrom predators
spawing: clean gravel ofappropriate size to spawn
+ pools to rest
ocean: foodsupply
off channel wetlands + floodplains:summer rearing habitat andprotection from winter floods
Picture source: http://www.fishex.com/seafood/salmon/salmon life cycles.html
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healthy salmon habitats
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changes of salmon habitatMon
tgom
ery(200
4)
Snohomish River (Washington)
1870 1990Snohomish River (Washington)
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changes of salmon habitat
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changes of salmon habitat
Deforestation
loss large woodydebris input into
channels
high input of finesediments into
channel
loss of wetlands &floodplains
Urbanization
decreasing heterogeneity of channel bed
morphology
siltation ofchannel beds
Loss of salmonhabitat
Agriculturalland use
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restoration
Understanding of:–Watershed processes (not only channel)• Water, sediment and large wooded debris flux
– Hillslope channel connectivity– Transport within channel
• Coupling of system components and processes– Coupling between processes and channel morphology– Coupling between biology and geomorphology/hydrology
Spatial context
– Disturbance history• Land use history• Channel morphology today and before human impact
Temporal context
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which data needed?• High resolution digital elevation
models (DEMs)(esp. LIDAR = Light Detection + Ranging)
– Extraction of channel networks– Mapping of geomorphological
landforms identification ofsediment transport processes
– Classification of channelmorphology
– Reconstruction of formerchannel courses
• Aerial photographs– Mapping of changing channel
pattern– Reconstruction of land use
history– Identification of sediment
sources and storages
Hillshade of LIDAR DEM (1m resolution)Kananaskis country
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Hillshade of LIDAR DEM (1m resolution)Kananaskis country
which data needed?
Classification based on Montgomery & Buffington(1997), data source 5m DEM (rescaled 1m LIDAR DEM)
casacadestep pool
planebed
Pool riffle
pool riffleplane bedstep poolcascade
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which data needed?• Sediment size = most
important channelcharacteristic forspawning
• Availability of suitablesediment dependent on:– Channel hydraulics
(shear stress)– Sediment supply
(volume and grain size)
Estimation ofsediment size basedon DEM derivedchannel slope anddrainage area
**50 )()( cscs
hsg
D
plane bed channelswood poor pool riffle channelswood forced pool riffle channels
increasing roughness / resistance
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which data needed?• High resolution digital elevation
models (DEMs)(esp. LIDAR = Light Detection + Ranging)
– Extraction of channel networks– Mapping of geomorphological
landforms identification ofsediment transport processes
– Classification of channelmorphology
– Reconstruction of formerchannel courses
• Aerial photographs– Mapping of changing channel
pattern– Reconstruction of land use
history– Identification of sediment
sources and storages.
Orthophoto, 1m resolution (2008)
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which data needed?
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summary
Restoration of salmon habitat onlypossible if we have a goodunderstanding of:
• ecological and geomorphologicalprocesses in salmon bearing rivers
• how these rivers evolved in time
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GeoCENS application
• Temporal GoogleEarth• Visualization of time dependent spatial data– Point data, line data and areal data
e.g. visualization of changing land use (arealmaps), changing river habitat (linear features)and salmon populationsTime scale: 10² years (since air photos areavailable)
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take home message
geospatial data is
not just xyzt
but
information in ageographical context
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take home message
• If we want a large geoscientific community touse GeoCENS we need to integrate spatial andtemporal, e.g.:– Geological, geomorphological maps
– Digital elevation models
– Time dependent land use maps
– �…and derivatives• However: quality concerns must be met
• Visualization tool of spatial temporal data
important for every paleo environmental study
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Thanks foryour attention !