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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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−energy balance equation (Penman−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−energy balance equation (Penman−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 |
work_keys_str_mv |
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