基于NPWP的云南植物保护优先区分析

本研究以国家重点保护野生植物（NPWP-National Protected Wild Plants）为指示物种，基于云南各县（市、区）的NPWP信息统计，应用Dobson 算法系统筛选出云南植物保护优先区，并利用已建自然保护区信息评价所筛选的植物保护优先区及其关联生态（亚）区的保护现状。结果表明：在75%和100%的NPWP保护水平上，分别筛选确定了河口县等7 个和24 个县/市/区为植物保护优先区，其中75%保护水平上的7 个植物保护优先区是云南植物多样性保护最关键地区；在75%和100%保护水平上，分别有4 个和8 个植物保护优先区的自然保护区面积百分比低于5%，亟待加强建设；2 个生态区和7 个生态亚区的自然保护面积百分比都明显低于10%，未达到全球植物保护战略2010 年的基本目标；应将I-25-03、I-25-04、I-28-07 生态亚区纳入云南植物保护地体系优化之中。

Identifying plant priority conservation areas based on the NPWP distribution in Yunnan,China

The function upgrading and spatial structure optimization of nature reserve networks are currently the core task of biodiversity conservation in Yunnan. The identification of priority conservation areas and the assessment of their protection status are the premises for fulfilling this task. This study used the National Protected Wild Plants (NPWP) as indicator species, and then based on the county (city or district) level NPWP distribution data, we applied Dobson algorithm to identify the plant priority conservation areas in terms of the 75% and 100% NPWP conservation levels. Then we used the information of existing nature reserves to assess the protection status of the plant priority conservation areas and sub-ecoregions in Yunnan. Results show that: in terms of the 75% and 100% NPWP conservation levels, seven and twenty-four counties (cities, districts) were identified as priority conservation areas, respectively. The former seven priority areas are critical for plant conservation. The coverage percentages of nature reserves of four and eight identified priority conservation areas were less than 5% in terms of the 75% and 100% NPWP conservation levels. It is urgent to strengthen the upgrading of existing nature reserves or even construct new nature reserves in these identified priority areas with low conservation level. The percentages of nature reserves of two ecoregions and seven sub-ecoregions do not meet the conservation target in 2010 (10% ) set by Global Strategy for Plant Conservation. Three sub-ecoregions should be included in the nature reserve network systems in Yunnan.