| Biodiversity is an important condition for maintaining the balance of Ecosystemand sustainable development of productivity, it’s the material basis of human survivaland sustainable development, and the basic barrier to safeguard national ecologicalsecurity, it plays an extremely important role to support the earth’s life support system.Biodiversity conservation has become a focus of global concern. The research ofspecies richness and geographicalal distribution pattern is the effective way and methodof biodiversity conservation, has important significance to biodiversity conservation.The assessment of biodiversity conservation priority is the important means forbiodiversity conservation, administration and scientific decision-making. To obtainprecise biodiversity information and assemble, collection, assessment, which canprovide a reference for the biodiversity research, conservation, management anddecision-making. The scientific assessment of biodiversity is an effective way to solvethe problems about the optimal allocation and utilization in the limited human andmaterial resources at the different scale.In this paper, we select Ganzi Tibetan Autonomous Prefecture in Sichuan provincewhich has rich biodiversity as the study area. According to the data which werecollected and integrated, we had abtained wild vertebrate database, the area has652species of vertebrates. what the specific ratio is: reptiles have31, amphibians have30,fishes have30, mammals have125, birds have436. Basing on the environment datasetof climate, topography and vegetation, we explored geographical patterns of speciesrichness and their environmental determinants for overall wild vertebrates and eachmajor group of wild vertebrates in Ganzi Tibetan Autonomous Prefecture. Mainlyincluding:(1)Based on the reference data that were collected to determine the species richnessof wild vertebrates in each county of ganzi area, the wild vertebrates mainly distributedin Dadu river religion, Kangding county and Luding county have the higher speciesrichness of wild vertebrates, Kangding has429species and Luding has365species.Xiangcheng, Xinlong, and Daocheng county which species richness of wild vertebratesare lower, Xiangcheng has190, Xinlong has185, Daocheng has197species.(2)Analyzing of the correlation on the species richness of wild vertebrates and eachmajor group which based on the dataset of wild vertebrates distribution in Ganzi, weexplored the consistency of species richness between each major group. The analysisresult indicated: in addition Amphibia, the species richness of each major group weresignificantly correlated with the species richness of wild vertebrates,R≥0.667，P＜0.01, the covariant trend between the species richness of each major group are inconsistent.(3)The geographical distribution data of wild vertebrates in counties were used inthe cluster analysis to explore the similarity of wild vertebrates in counties. Most ofcounties cluster at0.4of each group. The results showing: the geographical distributionof wild vertebrates based on topography and landforms, with the climate and vegetationchanged, the cluster analysis results of group were different. besides, the geographicalaldistribution pattern of wild vertebrates in Ganzi were relation to the distribution ofrivers and lakes.(4)Based on the dataset of geographical distribution of wild vertebrates in counties,combined the temperature, precipitation, altitude and other environmental imformation.we explored geographical patterns of species richness and their environmentaldeterminants for overall wild vertebrates and each major group of wild vertebrates inGanzi, analyzed the main factor of geographical distribution pattern of species richnesscombined with relevant hypotheses. The results showing: the correlation coefficient onthe species richness of each major group associated with the same environmentalfactors was significant differences. The covariant trend of species richness andenvironmental variable was not entirely consistent. The elevation variety thatrepresents habitats heterogeneity played a major role to the geographical distributionpattern of species richness in Ganzi. The determinants of species richness pattern ofeach major group were different. The selected best models of amphibians including2varibles about precipitation seasonality and min temperature of coldest month, theadjust R2was66.5%. The selected best models of reptiles including3varibles aboutelevational range, isothermality, precipitation of wettest quarter, the adjust R2was87.6%. The selected best models of mammals including4varibles about ndvi, land useand land cover change, minimum elevation, temperature seasonality, the adjust R2was85.7%. The selected best models of fishes including1varibles about ndvi, the adjust R2was21.8%. The selected best models of birds including1varibles about elevationalrange, the adjust R2was29.5%.In the sduty about the assessment of biodiversity conservation Priority, the countyarea of Ganzi Tibetan autonomous prefecture in Sichuan Province was analyzed as thebasic assessment unit, we created an assessment index system includes8indicators:vertebrate richness index, vertebrate endemism index, vertebrate endangered index,plant richness index, nature ecosystem diversity index, nature ecosystem endemismindex, normalized difference vegetation index, net primary productivity index, whichdescribe the biodiversity status from both species level and ecosystem level. Theweight of each assessment index was confirmed with entropy. We use this method toevaluate the biodiversity status of this area, the results show that Kangding and Litang,the two counties are the most important counties with richest biodiversity assessingscores, the index score were above0.65, Derong and Xiangcheng with poorbiodiversity assessing scores, the index score were below0.4. Compared assessment results with the distribution of nature reserve in the study area, the results reflect clearlythe difference of biodiversity status among different counties. The distribution area ofnature reserve is large in Kangding and Litang, which accounting for44%and17%respectively of total county area, biodiversity is better protected in the two counties.The biodiversity assessment results of Ganzi and Seda are rich, but the distribution areaof nature reserve are small, our suggestion is to establish more nature reserves in thistwo counties. |
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