Mapping Maximum Tree Height of the Great Khingan Mountain, Inner Mongolia Using the Allometric Scaling and Resource Limitations Model

Maximum tree height is an important indicator of forest vegetation in understanding the properties of plant communities. In this paper, we estimated regional maximum tree heights across the forest of the Great Khingan Mountain in Inner Mongolia with the allometric scaling and resource limitations mo...

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Main Authors: Yao Zhang, Yuli Shi, Sungho Choi, Xiliang Ni, Ranga B. Myneni
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/10/5/380
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spelling doaj-59c8dbd6e65d48a9b6bfc6188cb046392020-11-24T21:50:47ZengMDPI AGForests1999-49072019-04-0110538010.3390/f10050380f10050380Mapping Maximum Tree Height of the Great Khingan Mountain, Inner Mongolia Using the Allometric Scaling and Resource Limitations ModelYao Zhang0Yuli Shi1Sungho Choi2Xiliang Ni3Ranga B. Myneni4School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaDepartment of Earth and Environment, Boston University, Boston, MA 02215, USAState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, ChinaDepartment of Earth and Environment, Boston University, Boston, MA 02215, USAMaximum tree height is an important indicator of forest vegetation in understanding the properties of plant communities. In this paper, we estimated regional maximum tree heights across the forest of the Great Khingan Mountain in Inner Mongolia with the allometric scaling and resource limitations model. The model integrates metabolic scaling theory and the water&#8722;energy balance equation (Penman&#8722;Monteith equation) to predict maximum tree height constrained by local resource availability. Monthly climate data, including precipitation, wind speed, vapor pressure, air temperature, and solar radiation are inputs of this model. Ground measurements, such as tree heights, diameters at breast height, and crown heights, have been used to compute the parameters of the model. In addition, Geoscience Laser Altimeter System (GLAS) data is used to verify the results of model prediction. We found that the prediction of regional maximum tree heights is highly correlated with the GLAS tree heights (R<sup>2</sup> = 0.64, RMSE = 2.87 m, MPSE = 12.45%). All trees are between 10 to 40 m in height, and trees in the north are taller than those in the south of the region of research. Furthermore, we analyzed the sensitivity of the input variables and found the model predictions are most sensitive to air temperature and vapor pressure.https://www.mdpi.com/1999-4907/10/5/380maximum forest heightsmetabolic scale theoryallometric scaling and resource limitation model
collection DOAJ
language English
format Article
sources DOAJ
author Yao Zhang
Yuli Shi
Sungho Choi
Xiliang Ni
Ranga B. Myneni
spellingShingle Yao Zhang
Yuli Shi
Sungho Choi
Xiliang Ni
Ranga B. Myneni
Mapping Maximum Tree Height of the Great Khingan Mountain, Inner Mongolia Using the Allometric Scaling and Resource Limitations Model
Forests
maximum forest heights
metabolic scale theory
allometric scaling and resource limitation model
author_facet Yao Zhang
Yuli Shi
Sungho Choi
Xiliang Ni
Ranga B. Myneni
author_sort Yao Zhang
title Mapping Maximum Tree Height of the Great Khingan Mountain, Inner Mongolia Using the Allometric Scaling and Resource Limitations Model
title_short Mapping Maximum Tree Height of the Great Khingan Mountain, Inner Mongolia Using the Allometric Scaling and Resource Limitations Model
title_full Mapping Maximum Tree Height of the Great Khingan Mountain, Inner Mongolia Using the Allometric Scaling and Resource Limitations Model
title_fullStr Mapping Maximum Tree Height of the Great Khingan Mountain, Inner Mongolia Using the Allometric Scaling and Resource Limitations Model
title_full_unstemmed Mapping Maximum Tree Height of the Great Khingan Mountain, Inner Mongolia Using the Allometric Scaling and Resource Limitations Model
title_sort mapping maximum tree height of the great khingan mountain, inner mongolia using the allometric scaling and resource limitations model
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2019-04-01
description Maximum tree height is an important indicator of forest vegetation in understanding the properties of plant communities. In this paper, we estimated regional maximum tree heights across the forest of the Great Khingan Mountain in Inner Mongolia with the allometric scaling and resource limitations model. The model integrates metabolic scaling theory and the water&#8722;energy balance equation (Penman&#8722;Monteith equation) to predict maximum tree height constrained by local resource availability. Monthly climate data, including precipitation, wind speed, vapor pressure, air temperature, and solar radiation are inputs of this model. Ground measurements, such as tree heights, diameters at breast height, and crown heights, have been used to compute the parameters of the model. In addition, Geoscience Laser Altimeter System (GLAS) data is used to verify the results of model prediction. We found that the prediction of regional maximum tree heights is highly correlated with the GLAS tree heights (R<sup>2</sup> = 0.64, RMSE = 2.87 m, MPSE = 12.45%). All trees are between 10 to 40 m in height, and trees in the north are taller than those in the south of the region of research. Furthermore, we analyzed the sensitivity of the input variables and found the model predictions are most sensitive to air temperature and vapor pressure.
topic maximum forest heights
metabolic scale theory
allometric scaling and resource limitation model
url https://www.mdpi.com/1999-4907/10/5/380
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AT rangabmyneni mappingmaximumtreeheightofthegreatkhinganmountaininnermongoliausingtheallometricscalingandresourcelimitationsmodel
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