摘要
人类的开垦和开发活动使湿地生物多样性遭到严重的干扰和破坏,随着人们对湿地功能和价值的正确认识,湿地生物多样性保护越来越被广泛关注,湿地生物多样性空间分布格局及其影响因素是湿地生物多样性保护要解决的关键问题。利用空间自相关与空间滞后模型,对三江平原别拉洪河流域湿地鸟类丰富度的空间自相关性及其驱动因子进行了研究,结果表明:别拉洪河流域湿地鸟类丰富度及其驱动因子都具有明显的空间自相关性;影响别拉洪河流域湿地鸟类丰富度空间分布的主要因子是干扰度、生境类型数、到道路的距离、到沟渠的距离、到湖泊的距离、到居民点的距离、海拔高度、坡度和人口密度;由于受空间自相关的影响,空间自回归模型优于传统的回归模型。研究有助于人们更好地理解湿地生物多样性保护的热点地区及其形成机制,对人们更好地保护和利用湿地生物多样性具有重要价值,同时也为研究湿地鸟类分布与环境因子的关系,建立预测物种分布模型提供科学依据。
The wetland biodiversity had been severely disturbed and destroyed due to the land reclamation and exploitation activities. Wetland biodiversity conservation was increasingly concerned for its functions and service values has been recognized and accepted widely. The key issue that wetland biodiversity conservation concerning was how the wetland biodiversity spatial pattern distributed and what＇s its main impact factors. The spatial autocorrelation characteristics and its driving factor of wetland bird richness were analyzed by using the spatial autoregressive model with the combination of bio-geographic information provided by GAP analysis,land use/land cover,topographical,social and economic information over the Bielahong Basin in the Sanjiang Plain. The study results indicate that wetland bird richness and its driving factors has positive spatial autocorrelation. The results also indicate that the main impact factors on the spatial distribution of wetland birds richness were as followings：the disturbance degree,habitat types,distance to roads,distance to drainage system,distance to lakes,distance to residential places,elevation,slope and human population density. Our analysis shows that spatial autoregressive model performs better than the standard multiple linear regression model due to spatial autocorrelation exert more impact on the latter one. The study result can work as valuable information for people to understand where the wetland biodiversity conservation hot spots locates and what＇s the formation mechanism,which were of great importance for protection and utilization of wetland biodiversity. The study also put forward scientific evidence for studying the relationship between wetland birds distribution and environmental factors,which can provide scientific basis for establishing species distribution prediction model in the future.
出处
《生态学报》
CAS
CSCD
北大核心
2010年第10期2647-2655,共9页
Acta Ecologica Sinica
基金
国家"十一五"科技支撑计划课题资助项目(2008BADB0B01)
吉林师范大学科研创新团队资助项目(JLSDCXTD200807)
关键词
空间自相关
空间滞后模型
湿地鸟类
丰富度
别拉洪河流域
spatial autocorrelation analysis
spatial autoregressive model
wetland bird
species richness
Bielahong Basin
