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Comparison of three models for assessing the importance of biodiversity at a county leveltaking Wuyishan city as an example*(PDF)

Chinese Journal of Applied & Environmental Biology[ISSN:1006-687X/CN:51-1482/Q]

Issue:
2020 02
Page:
1-10
Research Field:
Articles
Publishing date:

Info

Title:
Comparison of three models for assessing the importance of biodiversity at a county leveltaking Wuyishan city as an example*
Author(s):
LIN Xue’er1 YOU Liping1 ZHOU Mengyao1 HE Dongjin12 WU Liyun1 DENG Xipeng 3 LIN Liangsi3 YOU Weibin1**
1 College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
2 Jinshan College of Fujian Agriculture and Forestry University, Fuzhou 350002, China
3 Geological Remote Sensing and Geographic Information Center of Fujian Province, Fuzhou 350011, China
Keywords:
biodiversity assessment method comparison net primary productivity scale Nature reserve
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Abstract:
This study aims to accurate assessment of the importance of Wuyishan biodiversity and analysis its spatial characteristics for understanding the effects of different assessment methods on biodiversity assessment at the county scale. Using NPP quantitative index model, improved NPP model and comprehensive assessment model to analyze the importance index of biodiversity in Wuyishan City. The results show that the biodiversity importance index of three assessment models are between 0-93.7, 0.54-63.06 and 38.56-86.31, model 1 and model 2’s spatial distribution is fragmented, model 3’s aggregation is higher. The average values of townships and towns of model 1, model 2 and model 3 are between 32.93-46.22, 35.62-45.27 and 67.28-79.25; the standard deviations are between 17.12-25.63, 6.81-12.85 and 3.84-7.33. The higher important and highest important areas of model 1, model 2 and model 3 account for 32%, 90.34% and 77.93%,. Within the range of about 7 km, the autocorrelation is model 3 < model 2 < model 1 and above 7 km, the autocorrelation is model 3>model 1 and model 2. According to the spatial distribution, importance level area, spatial autocorrelation model 3 evaluation works best and suitabled with the reality of Wuyishan, second is model 2 and finally is model 1. It can be seen that the parameter selection of the assessment model is one of the main sources of uncertainty in the assessment results and directly affects the assessment results.

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Last Update: 2019-07-30