کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6963688 1644961 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A framework for evaluating forest landscape model predictions using empirical data and knowledge
ترجمه فارسی عنوان
چارچوبی برای ارزیابی پیش بینی مدل چشم انداز جنگل با استفاده از داده های تجربی و دانش
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی
Evaluation of forest landscape model (FLM) predictions is indispensable to establish the credibility of predictions. We present a framework that evaluates short- and long-term FLM predictions at site and landscape scales. Site-scale evaluation is conducted through comparing raster cell-level predictions with inventory plot data whereas landscape-scale evaluation is conducted through comparing predictions stratified by extraneous drivers with aggregated values in inventory plots. Long-term predictions are evaluated using empirical data and knowledge. We demonstrate the applicability of the framework using LANDIS PRO FLM. We showed how inventory data were used to initialize the landscape and calibrate model parameters. Evaluation of the short-term LANDIS PRO predictions based on multiple metrics showed good overall performance at site and landscape scales. The predicted long-term stand development patterns were consistent with the established theories of stand dynamics. The predicted long-term forest composition and successional trajectories conformed well to empirical old-growth studies in the region.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 62, December 2014, Pages 230-239
نویسندگان
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