2016PubMedRequires access

[Dynamics and prediction models of ground surface dead fuel moisture content for typical stands in Great Xing'an Mountains, Northeast China.]

Hai Qing Hu, Xin Lü, Long Sun, Dao Ming Guan

Open publisher page 5 citations

Abstract

The fuel moisture content dynamics of mixed forest of Populus davidiana-Betula platyphylla, Larix gmelinii, Pinus sylvestris var. mongolica, mixed forest of L. gmelinii-B. platyphylla, B. platyphylla at different slope positions in spring and autumn were investigated in Xilinji Forestry Bureau ofthe Great Xing'an Mountains region. The moisture content prediction models of different stands in different seasons were established and the predicted errors were analyzed.The results showed that the fuel moisture content in the same stand varied with slope position. The mean absolute error of Nelson model (0.13) was lower than that of Simard model (0.14), and was significantly lower than that of meteorological element regression model (0.25). The prediction accuracy of the autumn model was higher than the spring model and spring-autumn mixed model.

About this research paper

What this paper is about

The fuel moisture content dynamics of mixed forest of Populus davidiana-Betula platyphylla, Larix gmelinii, Pinus sylvestris var. mongolica, mixed forest of L. gmelinii-B. platyphylla, B. platyphylla at different slope positions in spring and autumn were investigated in Xilinji Forestry Bureau ofthe Great Xing'an Mountains region. The moisture content prediction models of different stands in different seasons were established and the predicted errors were analyzed.The results showed that the fuel moisture content in the same stand varied with slope position. The mean absolute error of Nelson model (0.13) was lower than that of Simard model (0.14), and was significantly lower than that of meteorological element regression model (0.25). The prediction accuracy of the autumn model was higher than the spring model and spring-autumn mixed model.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The fuel moisture content dynamics of mixed forest of Populus davidiana-Betula platyphylla, Larix gmelinii, Pinus sylvestris var. mongolica, mixed forest of L. gmelinii-B. platyphylla, B. platyphylla at different slope positions in spring and autumn were investigated in Xilinji Forestry Bureau ofthe Great Xing'an Mountains region. The moisture content prediction models of different stands in different seasons were established and the predicted errors were analyzed.The results showed that the fuel moisture content in the same stand varied with slope position. The mean absolute error of Nelson model (0.13) was lower than that of Simard model (0.14), and was significantly lower than that of meteorological element regression model (0.25). The prediction accuracy of the autumn model was higher than the spring model and spring-autumn mixed model.

Key concepts: Betula platyphylla, Larix gmelinii, Water content, Environmental science, Pinus <genus>, Spring (device), Moisture, Atmospheric sciences

Related papers

Back to paper searchBrowse research topicsOriginal source
[Dynamics and prediction models of ground surface dead fuel moisture content for typical stands in Great Xing'an Mountains, Northeast China.] — Research Paper | ScholarLens