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Looking for efficient solutions for utilizing growth and yield experiments in model development and validation

첫 페이지 보기
  • 발행기관
    강원대학교 산림과학연구소 바로가기
  • 간행물
    강원대학교 산림과학연구소 학술대회 바로가기
  • 통권
    2022 International symposium of Institute of Forest Science for the 40th Anniversary of College of Forest and Environment Science (2022.10)바로가기
  • 페이지
    pp.100-100
  • 저자
    Jari Hynynen, Simone Bianchi, Daesung Lee, Saija Huuskonen
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A450472

원문정보

초록

영어
An overview is provided on the past and ongoing efforts aiming at efficient utilization of an extensive empirical data from permanent experiments and monitoring plots in building and validation of forest growth and yield models. First, the properties and suitability of different types of data for different purposes are briefly evaluated. Then, a brief overview to the design, measurements and management of long-term experimental data at Luke is provided with the help of some examples. The main focus is to highlight the role of empirical data in assessing the performance of simulation tools, as well as individual growth and yield models. The validation process heavily depends on the goals set to validation. The goals of growth modelers may be quite different from those of the user of the models. Alternative methods applicable to different types of model evaluation are discussed starting from testing of individual growth functions, analyzing the interaction of sub-models in a simulation system, and finally in assessing the performance of whole simulation system. Finally, some examples of different evaluation methods of models and simulation tools using empirical data are presented.

키워드

long-term experiments growth and yield modelling model validation simulation tools

저자

  • Jari Hynynen [ Natural Resources Institute Finland (Luke), Vipusenkuja 5, 57200 Savonlinna, Finland ] Corresponding Author
  • Simone Bianchi [ Natural Resources Institute Finland (Luke), Latokartanonkaari 9, 00790 Helsinki, Finland ]
  • Daesung Lee [ Natural Resources Institute Finland (Luke), Latokartanonkaari 9, 00790 Helsinki, Finland ]
  • Saija Huuskonen [ Natural Resources Institute Finland (Luke), Latokartanonkaari 9, 00790 Helsinki, Finland ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    강원대학교 산림과학연구소 [Institute of Forest Science Kangwon National University]
  • 설립연도
    1975
  • 분야
    농수해양>임학
  • 소개
    강원대학교부설산림과학연구소(이하 “연구소”라 한다)는 산림에 관한 제반 학술적 연구를 통하여 산림자원의 효용을 밝히고 임업 및 임산업의 발전에 기여함을 목적으로 한다.

간행물

  • 간행물명
    강원대학교 산림과학연구소 학술대회
  • 간기
    부정기
  • 수록기간
    2017~2024
  • 십진분류
    KDC 526 DDC 634

이 권호 내 다른 논문 / 강원대학교 산림과학연구소 학술대회 2022 International symposium of Institute of Forest Science for the 40th Anniversary of College of Forest and Environment Science

    피인용수 : 0(자료제공 : 네이버학술정보)

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