Mapping Brant's oak (Quercus brantii Lindl.) mortality using geostatistical methods in Dasht-e Barm, Fars province
This research was conducted to study the spatial distribution of Brant's oak (Quercus brantii Lindl.) mortality using geostatistical prediction and mapping approaches in Dashte-e Barm, Fars province. Field sampling was performed based on a 500m×500m systematic random grid and 1200 m2 rectangula...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | fas |
Published: |
Research Institute of Forests and Rangelands of Iran
2016-09-01
|
Series: | تحقیقات جنگل و صنوبر ایران |
Subjects: | |
Online Access: | http://ijfpr.areeo.ac.ir/article_107375_417a5cbbd07a0b744deb43a191156b84.pdf |
id |
doaj-8428e772b01041cc91d799665f725057 |
---|---|
record_format |
Article |
spelling |
doaj-8428e772b01041cc91d799665f7250572020-11-24T22:06:42ZfasResearch Institute of Forests and Rangelands of Iranتحقیقات جنگل و صنوبر ایران1735-08832383-11462016-09-0124345043910.22092/ijfpr.2016.107375107375Mapping Brant's oak (Quercus brantii Lindl.) mortality using geostatistical methods in Dasht-e Barm, Fars provinceShahram Ahmadi0Ghavamoddin Zahedi Amiri1Mohammad Reza Marvie Mohadjer2Ph.D. Student Forestry, Faculty of Natural Resources, University of TehranProf., Department of Forestry and Forest Economics, Faculty of Natural Resources, University of TehranProf., Department of Forestry and Forest Economics, Faculty of Natural Resources, University of TehranThis research was conducted to study the spatial distribution of Brant's oak (Quercus brantii Lindl.) mortality using geostatistical prediction and mapping approaches in Dashte-e Barm, Fars province. Field sampling was performed based on a 500m×500m systematic random grid and 1200 m2 rectangular forest plots. Different geostatistical methods were used for plotting anisotropic empirical semivariogram and surface creation. Results of cross validation showed that ordinary kriging with spherical model achieved superior results. The models were used for wall-to-wall prediction maps with four classes, including 60% mortality. The 25-60%, mortality class occupied the largest area (3827 ha), whereas the 60% tree mortality across the entire study site was shown to be less than 25%. This research concluded that Geostatistical kriging methods could be applied to predict and map missing tree mortality values in forest stands. Our analysis suggests that these methods can be used to generate prediction and probability maps in zagros oak stands for overarching goals such as forest mortality, pest and disease managements.http://ijfpr.areeo.ac.ir/article_107375_417a5cbbd07a0b744deb43a191156b84.pdfGeostatisticMORTALITYoakSpatial variationZagros |
collection |
DOAJ |
language |
fas |
format |
Article |
sources |
DOAJ |
author |
Shahram Ahmadi Ghavamoddin Zahedi Amiri Mohammad Reza Marvie Mohadjer |
spellingShingle |
Shahram Ahmadi Ghavamoddin Zahedi Amiri Mohammad Reza Marvie Mohadjer Mapping Brant's oak (Quercus brantii Lindl.) mortality using geostatistical methods in Dasht-e Barm, Fars province تحقیقات جنگل و صنوبر ایران Geostatistic MORTALITY oak Spatial variation Zagros |
author_facet |
Shahram Ahmadi Ghavamoddin Zahedi Amiri Mohammad Reza Marvie Mohadjer |
author_sort |
Shahram Ahmadi |
title |
Mapping Brant's oak (Quercus brantii Lindl.) mortality using geostatistical methods in Dasht-e Barm, Fars province |
title_short |
Mapping Brant's oak (Quercus brantii Lindl.) mortality using geostatistical methods in Dasht-e Barm, Fars province |
title_full |
Mapping Brant's oak (Quercus brantii Lindl.) mortality using geostatistical methods in Dasht-e Barm, Fars province |
title_fullStr |
Mapping Brant's oak (Quercus brantii Lindl.) mortality using geostatistical methods in Dasht-e Barm, Fars province |
title_full_unstemmed |
Mapping Brant's oak (Quercus brantii Lindl.) mortality using geostatistical methods in Dasht-e Barm, Fars province |
title_sort |
mapping brant's oak (quercus brantii lindl.) mortality using geostatistical methods in dasht-e barm, fars province |
publisher |
Research Institute of Forests and Rangelands of Iran |
series |
تحقیقات جنگل و صنوبر ایران |
issn |
1735-0883 2383-1146 |
publishDate |
2016-09-01 |
description |
This research was conducted to study the spatial distribution of Brant's oak (Quercus brantii Lindl.) mortality using geostatistical prediction and mapping approaches in Dashte-e Barm, Fars province. Field sampling was performed based on a 500m×500m systematic random grid and 1200 m2 rectangular forest plots. Different geostatistical methods were used for plotting anisotropic empirical semivariogram and surface creation. Results of cross validation showed that ordinary kriging with spherical model achieved superior results. The models were used for wall-to-wall prediction maps with four classes, including 60% mortality. The 25-60%, mortality class occupied the largest area (3827 ha), whereas the 60% tree mortality across the entire study site was shown to be less than 25%. This research concluded that Geostatistical kriging methods could be applied to predict and map missing tree mortality values in forest stands. Our analysis suggests that these methods can be used to generate prediction and probability maps in zagros oak stands for overarching goals such as forest mortality, pest and disease managements. |
topic |
Geostatistic MORTALITY oak Spatial variation Zagros |
url |
http://ijfpr.areeo.ac.ir/article_107375_417a5cbbd07a0b744deb43a191156b84.pdf |
work_keys_str_mv |
AT shahramahmadi mappingbrantsoakquercusbrantiilindlmortalityusinggeostatisticalmethodsindashtebarmfarsprovince AT ghavamoddinzahediamiri mappingbrantsoakquercusbrantiilindlmortalityusinggeostatisticalmethodsindashtebarmfarsprovince AT mohammadrezamarviemohadjer mappingbrantsoakquercusbrantiilindlmortalityusinggeostatisticalmethodsindashtebarmfarsprovince |
_version_ |
1725822312883683328 |