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- W2364213441 abstract "Taking the marshes, marsh-meadows and meadows in Great Hing’an Mountains as test objects, and selecting landform factors (altitude, slope, slope position, compound topographic index and irradiation slope direction), hydrological factors (distances to rivers and lakes), and climate factors (annual average temperature and annual precipitation) as potential affecting factors, a stepwise Logistic regressive model was established by SPSS to probe into the correlations between these wetlands and environmental factors, aiming to predict the potential distribution of wetlands in this area under current weather conditions. The results indicated that the wetland distribution in the north and south of Great Hing’an Mountains simulated by the model had a high reliability, with the ROC value being 71.70% and 73.40%, respectively. The simulated distribution of marsh-meadows and meadows in the south of Great Hing’an Mountains had a high reliability, but for the marshes, marsh-meadows and meadows in the north of Great Hing’an Mountains, Logistic model had a moderate reliability. Though the test wetlands had a random distribution, the simulated results were still reliable to some degree. Correlation analysis showed that at regional scale, temperature was the most important factor affecting the distribution of meadows in the south of Great Hing’an Mountains, while landform factors were the important ones affecting the potential distribution of meadows and other types of wetlands in the north Great Hing’an Mountains." @default.
- W2364213441 created "2016-06-24" @default.
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- W2364213441 date "2007-01-01" @default.
- W2364213441 modified "2023-09-23" @default.
- W2364213441 title "Correlations between potential distribution of wetlands in Great Hing’an Mountains and environmental variables" @default.
- W2364213441 hasPublicationYear "2007" @default.
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