title: Forest Growth and Yield Modeling
author: Aaron R. Weiskittel
description: <b>Forest Growth and Yield Modeling</b> synthesizes currentscientific literature and provides insights in how models areconstructed. Giving suggestions for future developments, andoutlining keys for successful implementation of models the bookprovides a thorough and up-to-date, single source reference forstudents, researchers and practitioners requiring a current digestof research and methods in the field.
zlib_text:  
   
  Sustainability 2020, 12, 2671; doi:10.3390/su12072671 
  www.mdpi.com/journal/sustainability 
  Article 
  MaxEnt Modeling for Predicting the Current and 
  Future Potential Geographical Distribution of 
  Quercus libani Olivier 
  H. Oğuz Çoban1,*, Ömer K. Örücü2 and E. Seda Arslan2 
  1 Forest Engineering Department, Faculty of Forestry, Isparta University of Applied Sciences; 32260, Turkey; 
  oguzcoban@isparta.edu.tr (H.O.C.)  
  2 Landscape Architecture Department, Faculty of Architecture, Süleyman Demirel University; 32260, 
  Turkey; omerorucu@sdu.edu.tr (Ö.K.Ö.); sedaarslan@sdu.edu.tr (E.S.A.) 
  * Correspondence: oguzcoban@isparta.edu.tr 
  Received: 16 February 2020; Accepted: 25 March 2020; Published: 28 March 2020 
  Abstract: The purpose of the study was to model the current and potential future distribution of 
  Quercus libani Olivier (Lebanon Oak), a tree species in Turkey, and to predict the changes in its 
  geographical distribution under different climate change scenarios. In this study, 19 