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Forest Biometry, Modelling and Information Sciences FBMIS

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Title: Forest Biometry, Modelling and Information Sciences FBMIS


1
Forest Biometry, Modelling and Information
Sciences(FBMIS) the Forest Model Archive(FMA)
  • Professor Keith Rennolls
  • University of Greenwich

2
Stats and Models in Forestry
  • Distant history Germany India
  • Graphical methods for height-age, volume-age
    Yield Tables
  • Statistics The Origins
  • Galton, Pearson, Yule
  • Fisher 1925 , Neyman-Pearson 1927,
  • Yates (Census of Woodlands, 1942)
  • etc
  • Up to about 1965
  • IUFRO 6.02 The Advisory Group of Forest
    Statisticians
  • Bertil Matern Spatial Variation 1960
  • John Jeffers.
  • Experimental design and analysis in forest
    research 1960
  • The electronic digital computer in forestry 1961
  • Al Stage TRAS growth simulation program 1962
  • Prodan Forest Biometrics 1968
  • Paul Schmid-Haas Edge Effects 1969
  • Van Laar Growth modelling 1969
  • Joe Christie Yield Tables The Red book

3
continued
  • After1970 The Modern Age.
  • John Jeffers, J.N.R. (Ed). 1972. Mathematical
    models in ecology.
  • Collier Dawkinss Statforms 1975
  • Alder Tropical forest models
  • Bill Warren Spatial and Temporal models in
    Forestry
  • Oscar Garcia System-Dynamic Stand-Level Forest
    Models
  • Anniki Makela Process Based Forest Modelling
  • Bob Monserud Boreal and Temperate Forest
    Modelling,
  • PROGNOSIS and Forest-Vegetation-Simulator (FVS)
  • Jerry VanClay Tropical Forest Management Models
  • Any many others
  • but currently probably only 200 Forest
    Biometricians,
  • and possibly 400 in Mensuration Growth and
    Yield.
  • Quite specialized, quite small

4
Me Forest Stats Modelling
  • Forestry Commission Statistics Branch Alice
    Holt 1976-1985
  • First IUFRO 6.02 Conference 1978 Frieburg
  • Warren, Matern, Prodan, Ek,
  • About 1980 Forest Modelling Discussion Group,
    FMDG.
  • IUFRO 6.02, 4.11, 4.01 Office holder since 1990
  • IUFRO DSA (Div. 4) 2005
  • EU FIMP Indonesia 1996
  • Tropical Forest modelling, inventory, remote
    sensing, biodiversity

5
Forest Biometrics and Modelling Publication
Outlets
  • Forest Science
  • Canadian Journal of Forest Science
  • Forest Ecology and Management
  • Remote Sensing of the Environment
  • Ecological Modelling
  • Tropical Forest Ecology
  • Journal of Ecology
  • Biometrics
  • Commonwealth Forestry Review
  • National Forestry Journals e.g. Forestry
  • Only ever about 1 in 10 or 20 on Forest
    Biometrics and Modelling.
  • IUFRO 6.02, 4.11, 4.03 Conference Proceedings
  • Grey Literature
  • Black Hole Literature?

6
IUFRO 4.11 Greenwich, 2001 Forest Biometry,
Modelling and Information Science (FBMIS)
  • The Call
  • Why Information Science(s)?
  • 1. Fishers Information Theory
  • The Basis of Modern Inferential Statistics
  • 2. Shannons InformationTheory
  • A popular species diversity measure
  • 3. Information Systems
  • Storing and managing data and information
  • 4 Information Science
  • Librarianship concerned with catalogues, keys,
    and restricted vocabularies metadata
    ontologies
  • 5. Forest Information Systems
  • Combining 3. and 4. GFIS, EFIS, CFIS, NEFIS.

7
The FBMIS Proceedings
  • The First IUFRO 4.11 web-proceedings
  • Systems for Forest Information Conservation and
    Sharing
  • (Chairs Ibrahim and Paivenen)
  •  
  • Risto Paivinen, Tim Richards, Nguyen Thanh Binh,
    Richard Wood , Margherita Sini (Invited
    paper)The IUFRO Global Forest Information
    Service
  • Towards a Common Resource.
  • Patrick D. Miles. USDA FS, St. Paul. Information
    Systems for the Forest Resource Analyst.
  • Keith Rennolls , Moh Ibrahim and Peter Smith.
    University of Greenwich.A Forest Model Archive?
  • Nell Baker and Howard Wright. University of
    OxfordThe UK Archive of Tropical Forest
    Inventory
  • (ATROFI) conserving the data.  

8
The Forest Model Archive (FMA)
  • The FMA a web portal www.forestmodelarchive.i
    nfo
  • The Full FMA Standards Specification
  • The resources associated with a fully documented
    model in FMA are expected to include the
    following as the adopted STANDARD
  • A description of the theory of the model
  • A listing of the code for the model algorithm
  • The fitting criterion used
  • The fitting algorithm used
  • Test data, with metadata
  • The results of fitting the model to the test data
    using the fitting algorithm
  • A new way to publish models

9
The FMA Aims
  • To Conserve Forest Models
  • To Enable easy re-use of Forest Models
  • Even for non-experts
  • Especially for the Developing World
  • A latter-day Stat-forms?
  • To Foster new forest model development
  • Particularly for Tropical Forests
  • For Remote-Sensing based Inventories
  • To Allow easy comparison of Models
  • On standard datasets
  • On new datasets
  • To Facilitate the building of new Hybrid models
    from previous models
  • To Engender international forest modelling
    collaboration

10
FMA Challenges
  • Modellers prefer to model rather than re-use
    another modellers model.
  • There is no kudos in re-use
  • Many of the established BIG Models have their own
    well supported web sites
  • FMA building is time-consuming and needs funding
  • not easy!
  • FMA construction does not rate for RAE!
  • Only publications, funding and PhDs do.
  • An Archive as merely a repository of dead
    models does not capture its potential future
    contribution.
  • Something is needed in addition to indicate that
    the FMA is State of the Art

11
FBMIS the e-journal(FBM Information Sciences
!)
  • Parents
  • Absence of a Specialized Forest Biometrics and
    Modelling publication outlet
  • The FBMIS Conference Proceedings
  • All the Black-Hole Proceedings of the past
  • The FMA
  • FBMIS www.fbmis.info

12
FBMIS 2003-4
  • OSCAR GARCIADimensionality Reduction in Growth
    Models an example.
  • ALMUTH WAMELING JOACHIM SABOROWSKI
    Construction of Local Confidence Intervals for
    Contour Lines.
  • GEORGE GERTNER
  • Assessment of Computationally Intensive Spatial
    Statistical Methods for Generating Inputs for
    Spatially Explicit Error Budgets.
  • ROBERT A. MONSERUDEvaluating Forest Models in a
    Sustainable Forest Management Context.
  • Special Invited PaperJOE LANDSBERG
    (Biography)Physiology in forest models history
    and the future
  • Special Invited PaperTASITI SUZUKI
    (Biography)Gentan Probability and the Concept of
    the Normal Wood in the Wide Sense
  • Special Invited Paper JOHN JEFFERS
    (Biography)Whither biometrics?
  • ANDREW P. ROBINSON, AMY L. POCEWICZ, and PAUL E.
    GESSLERA Cautionary note on Scaling Variables
    that appear only in Products in Ordinary Least
    Squares
  • NICOLAS PICARD and ALAIN FRANCApproximating
    spatial interactions in a model of forest
    dynamics.
  • JEROME K VANCLAYIndicator Groups and Faunal
    Richness.

13
FBMIS Challenges?
  • The Challenges for the FBMIS
  • E-journals are not recognized as fully archival
    by some authorities
  • The main-stream journals have no publication
    charge
  • All the main journals are now on-line
  • FBMIS needs a funding line currently there is a
    publication charge of 150
  • Sponsorship is needed
  • Managing and Editing a journal is time-consuming
  • There is relatively little RAE credit for doing
    so.

14
FBMIS Future?
  • New Developments
  • Special Issues for IUFRO 4.01 conferences?
  • Web-conferences?
  • Index to On-line Biometrician Personal Archives?
  • e.g. Oscar Garcia Jerry VanClay
  • Future Home, after Greenwich?
  • A main-stream publisher?
  • Other Institutions or Individuals?
  • IUFRO? FAO? CABI?

15
FMA FBMIS final view
  • The FMA was the parent of FBMIS
  • The FMA is now the brother of FBMIS
  • FBMIS as a journal is archival by nature
  • The FMA is archival, but not only archival
  • The FMA is a publication venue of a multiple
    dimensions, with great creative potential
  • Maybe the future should be an FBMIS Portal,
  • encompassing both the FBMIS e-journal,
  • and the FMA?
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