Thomas Hoffmann
Banff, Sep. 18th 2010
Kananaskis River (Rocky Mnts.)
contents

1. Nature of fluvial (environmental) systems
2. Human impact on sediment in the Rhine
   catchment
   – Scientific problem
   – Data needs GeoCENS
3. Salmon and geomorphology
   – Scientific problem
   – Data needs GeoCENS
4. Summary
contents

1. Nature of fluvial (environmental) systems
2. Human impact on sediment in the Rhine
   catchment
   – Scientific problem
   – Data needs GeoCENS
3. Salmon and geomorphology
   – Scientific problem
   – Data needs GeoCENS
4. Summary
Rio Beni (Bolivia)
time & space
Environmental systems
are systems that are:
• variable in time and
   space
• physical systems with
   a history
• self organizing
• hierarchical
• response is dependent
   on spatial scale
time & space
Environmental systems        Timescales of adjustment of channel form
                              component with given length dimension
are systems that are:
• variable in time and                   107
                                                                                     Watershed
                                         106                                        physiography
   space                                                                  Valley




                          Time (years)
                                         105
• physical systems with                  104
                                                                     morphology, river
                                                                         profiles

   a history                             103
                                                             Channel reach
                                                         morphology, sediment
• self organizing                        102
                                                         routing, channel width
                                                               and depth

• hierarchical                           101        Habitat unit
                                                 morphology, grain
• response is dependent                  100      size, bedforms


   on spatial scale                        101    102    103 104     105     106     107     108    109
                                                                Space (m²)
                                                                       modified after Montgomery (2004)
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
problem: soil degradation

                                                       • Globally, nearly 2 billion
                                                         hectares of land are affected by
                                                         human induced degradation of
                                                         soils (UN, 2000)
                                                       • Main driver of soil degradation:
                                                         soil erosion
                                                       • Old world: long human impact
                                                         (several 1000 years)

Grabenerosion auf einer gerade bestellten Rapsfläche     long term perspective needed
  M. Firelinghaus
source to sink
Floodplains as proxies of environmental change
                                                                Floodplains as
                                                                 major sinks




  Grabenerosion auf einer gerade bestellten Rapsfläche
    M. Firelinghaus



            Sources
                                                         Fluss Regen in der Oberpfalz hat beim Augusthochwasser 2002
sedimentation rate [mm/yr]
                                         floodplain sedimentation



                                                Increase of mean SR
                                                since approx. 2000 BP
                                                  strong human impact


                             baseline SR: 0.5 mm/yr




                                                                  Hoffmann et al. (2009, Catena)
floodplain
  sedimentation

Uniform increase of mean
sedimentation rate

   Increase of erosion
   Increase of human
   impact

   Problem: link between
   erosion and deposition
   rates?


                            Hoffmann et al. (2009, Catena)
source to sink
Floodplains as proxies of environmental change
                                                                Floodplains as
                                                                 major sinks




  Grabenerosion auf einer gerade bestellten Rapsfläche
    M. Firelinghaus



            Sources
                                                         Fluss Regen in der Oberpfalz hat beim Augusthochwasser 2002
source to sink
Coon Creek (Trimble 1999, Science)
• Cause: Decreased soil
  erosion due to
  conservation measures
• Affects: constant
  sediment delivery
source to sink
            connectivity
Rhine catchment
(Lang et al. 2003, Hydrological Processes)

• Cause: Long human
    impact on hillslope
    erosion, with varying
    degree of deforestation
• Affects: Buffered and
    delayed response of
    floodplains
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)
land use history in Germany
Neolithic population (~7 ka BP)    Roman population (~2ka BP)

 North
  Sea




               European Alps
                                                            Zimmermann at el (2009)
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)
human impact
 on the Rhine


  before 1850 AD




  today
data types
Vector                              Raster
• Area:                             • Topography (DEMs)
   – land use                       • Climate data
   – geology                           – temperature
   – sediment storage location         – precipitation
• Line:                               time dependent
   – 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)
data types
Vector                           Raster
• Area:
Necessary meta information!        • Topography (DEMs)
    – land use
• Time scale                       • Climate data
    – geology
• Spatial representativeness          – temperature
    – sediment storage location
       Upscaling of point data        – precipitation
• Line:Changing conditions!          time dependent
    – e.g. changing land use in catchment of a gauging station
      sediment transport paths
• Connectivitynetwork) points/objects extrapolation
      (e.g. river between
    – breaks of sediment transport
• Quality evaluation!!!
      (e.g. field edges)
• Point:
   – Stratigraphical record
     (slope, floodplain)
   – Dating (e.g. 14C ages)
GeoCENS application

• Temporal GoogleEarth
• Visualization of time dependent spatial data
  – Point data, line data and areal data

  e.g. visualization of changing land use (areal
  maps), 14C data of dated hillslope and fluvial
  sediment
  Time scales: ~10³ years
  From sensors to palaeo archives
Salmon &
Geomorphology



                © http://www.thinksalmon.com
Fish habitat and geomorphology
          Strong decline of salmon populations
                                     60000
                                                                     Chinook        Coho
Columbia River Commercial Landings




                                                                     Sockeye        Chum
                                     50000
                                                                     Steelhead      Total
     (in Thousands of Pounds)




                                     40000



                                     30000



                                     20000



                                     10000



                                        0
                                         1860   1880   1900   1920   1940    1960    1980   2000

                                                                 years                             © http://www.thinksalmon.com
          Source: WDFW (2002)
the big four (five) H´s

                                  Harvest
Habitat                         (overfishing)



             Salmon


Hatcheries                      Hydropower
                                  (dams)
             History
              Assessment if restoration is
               possible                         © http://www.thinksalmon.com
salmon live cycle and habitats
             spawing: clean gravel of                                           buried in
            appropriate size to spawn                                          streambed
                 + pools to rest
                                                                                                   shelter to grow,
                                                                                                   forage and hide
                                                                                                   from predators
  deep sheltered
  pools to rest




                 ocean: food
                 supply
                                                                                off channel wetlands + floodplains:
                                                                                summer rearing habitat and
                                                                                protection from winter floods
Picture source: http://www.fishex.com/seafood/salmon/salmon life cycles.html
healthy salmon habitats
changes of salmon habitat
Montgomery (2004)




                     1870                           1990
                    Snohomish River (Washington)   Snohomish River (Washington)
changes of salmon habitat
changes of salmon habitat
                           Agricultural
Deforestation                                       Urbanization
                            land use


   loss large woody        high input of fine
                                                 loss of wetlands &
   debris input into        sediments into
                                                     floodplains
       channels                 channel


  decreasing hetero
                              siltation of
geneity of channel bed
                             channel beds
     morphology


                                                Loss of salmon
                                                   habitat
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
which data needed?
                                           • High resolution digital elevation
                                             models (DEMs)
                                              (esp. LIDAR = Light Detection + Ranging)
                                               – Extraction of channel networks
                                               – Mapping of geomorphological
                                                 landforms identification of
                                                 sediment transport processes
                                               – Classification of channel
                                                 morphology
Hillshade of LIDAR DEM (1m resolution)         – Reconstruction of former
Kananaskis country                               channel courses
                                           • Aerial photographs
                                               – Mapping of changing channel
                                                 pattern
                                               – Reconstruction of land use
                                                 history
                                               – Identification of sediment
                                                 sources and storages
which data needed?
                                                                        step pool
                                                             casacade




                                                     plane
Hillshade of LIDAR DEM (1m resolution)               bed
Kananaskis country                                                      Pool riffle


          pool riffle
          plane bed
          step pool
          cascade

  Classification based on Montgomery & Buffington
(1997), data source 5m DEM (rescaled 1m LIDAR DEM)
which data needed?
• Sediment size = most                                              hs
                                   D50                  *                    *
  important channel                        (   s   )g   c   (   s        )   c
  characteristic for
  spawning
• Availability of suitable
  sediment dependent on:
   – Channel hydraulics
     (shear stress)
   – Sediment supply
     (volume and grain size)

   Estimation of
   sediment size based
   on DEM derived                        plane bed channels
   channel slope and                     wood poor pool riffle channels
                                         wood forced pool riffle channels
   drainage area
                                 increasing roughness / resistance
which data needed?
                                     • High resolution digital elevation
                                       models (DEMs)
                                        (esp. LIDAR = Light Detection + Ranging)
                                         – Extraction of channel networks
                                         – Mapping of geomorphological
                                           landforms identification of
                                           sediment transport processes
                                         – Classification of channel
                                           morphology
                                         – Reconstruction of former
                                           channel courses
                                     • Aerial photographs
                                         – Mapping of changing channel
                                           pattern
                                         – Reconstruction of land use
                                           history
                                         – Identification of sediment
                                           sources and storages.
Orthophoto, 1m resolution (2008)
which data needed?
summary

Restoration of salmon habitat only
possible if we have a good
understanding of:
• ecological and geomorphological
  processes in salmon bearing rivers
• how these rivers evolved in time
GeoCENS application

• Temporal GoogleEarth
• Visualization of time dependent spatial data
  – Point data, line data and areal data

  e.g. visualization of changing land use (areal
  maps), changing river habitat (linear features)
  and salmon populations
  Time scale: 10² years (since air photos are
  available)
take home message

 geospatial data is
    not just xyzt
         but
  information in a
geographical context
take home message
• If we want a large geoscientific community to
  use GeoCENS we need to integrate spatial and
  temporal, 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
Thanks for
your attention !

GeoCENS presentation on The need of spacial data in geoscience and GeoCENS by Thomas Hoffman in Banff, September 23, 2010

  • 1.
  • 2.
  • 3.
    contents 1. Nature offluvial (environmental) systems 2. Human impact on sediment in the Rhine catchment – Scientific problem – Data needs GeoCENS 3. Salmon and geomorphology – Scientific problem – Data needs GeoCENS 4. Summary
  • 4.
    contents 1. Nature offluvial (environmental) systems 2. Human impact on sediment in the Rhine catchment – Scientific problem – Data needs GeoCENS 3. Salmon and geomorphology – Scientific problem – Data needs GeoCENS 4. Summary
  • 5.
  • 6.
    time & space Environmentalsystems are systems that are: • variable in time and space • physical systems with a history • self organizing • hierarchical • response is dependent on spatial scale
  • 7.
    time & space Environmentalsystems Timescales of adjustment of channel form component with given length dimension are systems that are: • variable in time and 107 Watershed 106 physiography space Valley Time (years) 105 • physical systems with 104 morphology, river profiles a history 103 Channel reach morphology, sediment • self organizing 102 routing, channel width and depth • hierarchical 101 Habitat unit morphology, grain • response is dependent 100 size, bedforms on spatial scale 101 102 103 104 105 106 107 108 109 Space (m²) modified after Montgomery (2004)
  • 8.
    contents 1. Nature offluvial (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
  • 9.
    problem: soil degradation • Globally, nearly 2 billion hectares of land are affected by human induced degradation of soils (UN, 2000) • Main driver of soil degradation: soil erosion • Old world: long human impact (several 1000 years) Grabenerosion auf einer gerade bestellten Rapsfläche long term perspective needed M. Firelinghaus
  • 10.
    source to sink Floodplainsas proxies of environmental change Floodplains as major sinks Grabenerosion auf einer gerade bestellten Rapsfläche M. Firelinghaus Sources Fluss Regen in der Oberpfalz hat beim Augusthochwasser 2002
  • 11.
    sedimentation rate [mm/yr] floodplain sedimentation Increase of mean SR since approx. 2000 BP strong human impact baseline SR: 0.5 mm/yr Hoffmann et al. (2009, Catena)
  • 12.
    floodplain sedimentation Uniformincrease of mean sedimentation rate Increase of erosion Increase of human impact Problem: link between erosion and deposition rates? Hoffmann et al. (2009, Catena)
  • 13.
    source to sink Floodplainsas proxies of environmental change Floodplains as major sinks Grabenerosion auf einer gerade bestellten Rapsfläche M. Firelinghaus Sources Fluss Regen in der Oberpfalz hat beim Augusthochwasser 2002
  • 14.
    source to sink CoonCreek (Trimble 1999, Science) • Cause: Decreased soil erosion due to conservation measures • Affects: constant sediment delivery
  • 15.
    source to sink connectivity Rhine catchment (Lang et al. 2003, Hydrological Processes) • Cause: Long human impact on hillslope erosion, with varying degree of deforestation • Affects: Buffered and delayed response of floodplains
  • 16.
    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)
  • 17.
    land use historyin Germany Neolithic population (~7 ka BP) Roman population (~2ka BP) North Sea European Alps Zimmermann at el (2009)
  • 18.
    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)
  • 19.
    human impact onthe Rhine before 1850 AD today
  • 20.
    data types Vector Raster • Area: • Topography (DEMs) – land use • Climate data – geology – temperature – sediment storage location – precipitation • Line: time dependent – 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)
  • 21.
    data types Vector Raster • Area: Necessary meta information! • Topography (DEMs) – land use • Time scale • Climate data – geology • Spatial representativeness – temperature – sediment storage location Upscaling of point data – precipitation • Line:Changing conditions! time dependent – e.g. changing land use in catchment of a gauging station sediment transport paths • Connectivitynetwork) points/objects extrapolation (e.g. river between – breaks of sediment transport • Quality evaluation!!! (e.g. field edges) • Point: – Stratigraphical record (slope, floodplain) – Dating (e.g. 14C ages)
  • 22.
    GeoCENS application • TemporalGoogleEarth • Visualization of time dependent spatial data – Point data, line data and areal data e.g. visualization of changing land use (areal maps), 14C data of dated hillslope and fluvial sediment Time scales: ~10³ years From sensors to palaeo archives
  • 23.
    Salmon & Geomorphology © http://www.thinksalmon.com
  • 24.
    Fish habitat andgeomorphology Strong decline of salmon populations 60000 Chinook Coho Columbia River Commercial Landings Sockeye Chum 50000 Steelhead Total (in Thousands of Pounds) 40000 30000 20000 10000 0 1860 1880 1900 1920 1940 1960 1980 2000 years © http://www.thinksalmon.com Source: WDFW (2002)
  • 25.
    the big four(five) H´s Harvest Habitat (overfishing) Salmon Hatcheries Hydropower (dams) History Assessment if restoration is possible © http://www.thinksalmon.com
  • 26.
    salmon live cycleand habitats spawing: clean gravel of buried in appropriate size to spawn streambed + pools to rest shelter to grow, forage and hide from predators deep sheltered pools to rest ocean: food supply off channel wetlands + floodplains: summer rearing habitat and protection from winter floods Picture source: http://www.fishex.com/seafood/salmon/salmon life cycles.html
  • 27.
  • 28.
    changes of salmonhabitat Montgomery (2004) 1870 1990 Snohomish River (Washington) Snohomish River (Washington)
  • 29.
  • 30.
    changes of salmonhabitat Agricultural Deforestation Urbanization land use loss large woody high input of fine loss of wetlands & debris input into sediments into floodplains channels channel decreasing hetero siltation of geneity of channel bed channel beds morphology Loss of salmon habitat
  • 31.
    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
  • 32.
    which data needed? • High resolution digital elevation models (DEMs) (esp. LIDAR = Light Detection + Ranging) – Extraction of channel networks – Mapping of geomorphological landforms identification of sediment transport processes – Classification of channel morphology Hillshade of LIDAR DEM (1m resolution) – Reconstruction of former Kananaskis country channel courses • Aerial photographs – Mapping of changing channel pattern – Reconstruction of land use history – Identification of sediment sources and storages
  • 33.
    which data needed? step pool casacade plane Hillshade of LIDAR DEM (1m resolution) bed Kananaskis country Pool riffle pool riffle plane bed step pool cascade Classification based on Montgomery & Buffington (1997), data source 5m DEM (rescaled 1m LIDAR DEM)
  • 34.
    which data needed? •Sediment size = most hs D50 * * important channel ( s )g c ( s ) c characteristic for spawning • Availability of suitable sediment dependent on: – Channel hydraulics (shear stress) – Sediment supply (volume and grain size) Estimation of sediment size based on DEM derived plane bed channels channel slope and wood poor pool riffle channels wood forced pool riffle channels drainage area increasing roughness / resistance
  • 35.
    which data needed? • High resolution digital elevation models (DEMs) (esp. LIDAR = Light Detection + Ranging) – Extraction of channel networks – Mapping of geomorphological landforms identification of sediment transport processes – Classification of channel morphology – Reconstruction of former channel courses • Aerial photographs – Mapping of changing channel pattern – Reconstruction of land use history – Identification of sediment sources and storages. Orthophoto, 1m resolution (2008)
  • 36.
  • 37.
    summary Restoration of salmonhabitat only possible if we have a good understanding of: • ecological and geomorphological processes in salmon bearing rivers • how these rivers evolved in time
  • 38.
    GeoCENS application • TemporalGoogleEarth • Visualization of time dependent spatial data – Point data, line data and areal data e.g. visualization of changing land use (areal maps), changing river habitat (linear features) and salmon populations Time scale: 10² years (since air photos are available)
  • 39.
    take home message geospatial data is not just xyzt but information in a geographical context
  • 40.
    take home message •If we want a large geoscientific community to use GeoCENS we need to integrate spatial and temporal, 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
  • 41.