This study was performed in three steps in order to estimated the model of potential natural vegetation in Bukhansan national park. The first step was to study the possibility of vegetation survey and communities classification through the supervised classification. The second step was analyzed rela...
This study was performed in three steps in order to estimated the model of potential natural vegetation in Bukhansan national park. The first step was to study the possibility of vegetation survey and communities classification through the supervised classification. The second step was analyzed relationship between actual vegetation and distribution factors such as elevation, aspect, slope, topographic index, annual mean temperature, warmth index and potential evapotranspiration in Bukhansan national park. And last step was estimated probability of the potential natural vegetation with the results of step 1 and step 2. The study of step 1 was used high-resolution image (Quickbird-2) of 350 × 350 m areas in Ui-valley. 1. The panchromatic and multi-spectral band 4 was useful for tree species classification. 2. A random selection of validation pixels of April 2010 and September 2008 image showed that overall classification accuracy was 55.1% and 74.1% and Kappa coefficient was 0.50 and 0.71, respectively. These results showed normal and high confidence, respectively. 3. The various seasonal image is needed to improve the accuracy of classification. Also, spectral library was necessary in order to take advantage of high-resolution image. The second step was used detail actual vegetation (NIER, 2008) and adding survey data. It was analyzed relationship between actual vegetation and vegetation distribution factors such as elevation, slope, aspect, topographic index(TI), annual mean temperature (AMT), warmth index (WI) and potential evapotranspiration (PET). Quercus mongolica was the largest one of 105 communities in Bukhansan national park. Each environmental factor of Bukhansan national park showed that mean elevation was 282.1m, mean slope degree was 16.2°, mean AMT was 10.1℃, and WI was ranged 60 ∼ 105 ℃ㆍmonth. Q. mongolica community was mostly distributed at 200 ~ 400 m elevation, 20 ~ 30° slope, NW ∼ E aspect, 78 ~ 95 ℃․month WI, 650 ~ 690 mm/yr PET. P. densiflora community was mostly distributed at 200 ~ 400 m elevation, 20 ~ 30° slope, 640 ~ 680 mm/yr PET, S ~ SW aspect, 78 ~ 93 ℃․month WI. Q. acutissima community was the highest distribution ratio, less than 150 m elevation, 20 ~ 30° slope, SW aspect, 94 ~ 95 ℃ㆍmonth WI, 740 ~ 750 mm/yr (29%) and 700 ~ 710 mm/yr (28.3%) PET. The most distributed ratio of Q. aliena was 140 ~ 160 m elevation, over than 20° slope, 94 ~ 95 ℃ㆍmonth WI and 700 ~ 710 mm/yr PET. Q. serrata community was mostly distributed at 200 ~ 300 m elevation, over than 20° slope, 93 ~ 94 ℃ㆍmonth WI and 700 ~ 710 mm/yr PET. Q. variabilis was mostly distributed at 50 ~ 100 m elevation, over than 20° slope, SW ~ S aspect, 101 ~ 102 ℃ㆍmonth WI and 730 ~ 740 mm/yr PET. Lastely, in order to estimate the potential natural vegetation map in Bukhansan national park, it was calculated the distribution probability (the significant value 0.3 point) through factor analysis and logistic regression equation. Potential vegetation of Q. monoglica community using distribution probability was estimated and distributed with 75.6 ㎢. Potential natural vegetation distribution and WI were predicted under temperature increase (1.4℃) scenario. WI was increased from 60 ~ 105 ℃ㆍmonth to 76 ~ 128 ℃ㆍmonth. Potential habitat of Q. mongolica community was decreased from 75.6 ㎢ to 54.7 ㎢, but P. densiflora community was increased from 0.9 ㎢ to 2.5 ㎢.
This study was performed in three steps in order to estimated the model of potential natural vegetation in Bukhansan national park. The first step was to study the possibility of vegetation survey and communities classification through the supervised classification. The second step was analyzed relationship between actual vegetation and distribution factors such as elevation, aspect, slope, topographic index, annual mean temperature, warmth index and potential evapotranspiration in Bukhansan national park. And last step was estimated probability of the potential natural vegetation with the results of step 1 and step 2. The study of step 1 was used high-resolution image (Quickbird-2) of 350 × 350 m areas in Ui-valley. 1. The panchromatic and multi-spectral band 4 was useful for tree species classification. 2. A random selection of validation pixels of April 2010 and September 2008 image showed that overall classification accuracy was 55.1% and 74.1% and Kappa coefficient was 0.50 and 0.71, respectively. These results showed normal and high confidence, respectively. 3. The various seasonal image is needed to improve the accuracy of classification. Also, spectral library was necessary in order to take advantage of high-resolution image. The second step was used detail actual vegetation (NIER, 2008) and adding survey data. It was analyzed relationship between actual vegetation and vegetation distribution factors such as elevation, slope, aspect, topographic index(TI), annual mean temperature (AMT), warmth index (WI) and potential evapotranspiration (PET). Quercus mongolica was the largest one of 105 communities in Bukhansan national park. Each environmental factor of Bukhansan national park showed that mean elevation was 282.1m, mean slope degree was 16.2°, mean AMT was 10.1℃, and WI was ranged 60 ∼ 105 ℃ㆍmonth. Q. mongolica community was mostly distributed at 200 ~ 400 m elevation, 20 ~ 30° slope, NW ∼ E aspect, 78 ~ 95 ℃․month WI, 650 ~ 690 mm/yr PET. P. densiflora community was mostly distributed at 200 ~ 400 m elevation, 20 ~ 30° slope, 640 ~ 680 mm/yr PET, S ~ SW aspect, 78 ~ 93 ℃․month WI. Q. acutissima community was the highest distribution ratio, less than 150 m elevation, 20 ~ 30° slope, SW aspect, 94 ~ 95 ℃ㆍmonth WI, 740 ~ 750 mm/yr (29%) and 700 ~ 710 mm/yr (28.3%) PET. The most distributed ratio of Q. aliena was 140 ~ 160 m elevation, over than 20° slope, 94 ~ 95 ℃ㆍmonth WI and 700 ~ 710 mm/yr PET. Q. serrata community was mostly distributed at 200 ~ 300 m elevation, over than 20° slope, 93 ~ 94 ℃ㆍmonth WI and 700 ~ 710 mm/yr PET. Q. variabilis was mostly distributed at 50 ~ 100 m elevation, over than 20° slope, SW ~ S aspect, 101 ~ 102 ℃ㆍmonth WI and 730 ~ 740 mm/yr PET. Lastely, in order to estimate the potential natural vegetation map in Bukhansan national park, it was calculated the distribution probability (the significant value 0.3 point) through factor analysis and logistic regression equation. Potential vegetation of Q. monoglica community using distribution probability was estimated and distributed with 75.6 ㎢. Potential natural vegetation distribution and WI were predicted under temperature increase (1.4℃) scenario. WI was increased from 60 ~ 105 ℃ㆍmonth to 76 ~ 128 ℃ㆍmonth. Potential habitat of Q. mongolica community was decreased from 75.6 ㎢ to 54.7 ㎢, but P. densiflora community was increased from 0.9 ㎢ to 2.5 ㎢.
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