five

NSW Native vegetation report Cobbora, Coolah, Coonabarabran, Mendooran, Tambar Springs 1: 100 000 map sheets VIS_ID 2102

收藏
Research Data Australia2024-12-14 收录
下载链接:
https://researchdata.edu.au/nsw-native-vegetation-visid-2102/1343035
下载链接
链接失效反馈
官方服务:
资源简介:
Native vegetation is described and mapped for the Cobbora, Coolah, Coonabarabran, Mendooran and Tambar Springs 1: 100 000 map sheets. Vegetation patterns were recognised and delineated spatially using air photo interpretation (1:50,000 scale). Satellite imagery was used to geo-reference the API. A consistent provisional vegetation code was assigned to each unique vegetation pattern. Comprehensive floristic data was collected for 547 plots using a random stratified sampling procedure. A proportional sampling regime was applied to the stratification and plots randomly located within stratification units independent of land tenure. An additional mask layer was applied to distinguish between 'woody' and 'non-woody' vegetation to target survey effort toward wooded communities.\r\n\r\nPlot data was classified into 44 woody floristic groups using PATN. Additional analysis techniques included fidelity, homogeneity, nearest neighbour and indicator species analysis. Floristic groups are defined using structural dominance, diagnostic/indicator species and character species data. The provisional vegetation pattern codes from aerial photo interpretation were interrogated with respect to floristic groups to produce the map units. A generalised, additive model was used to investigate patterns in ironbark/redgum/pine assemblages in the south of the study area, where direct relationships between spatial and floristic data were unclear.\r\n\r\nA total of 24 woody map units were developed to represent woody assemblages and three map units spatially depict non-woody areas, non-native areas and regenerating vegetation (at time of mapping). These map units are described with respect to structure, floristic composition and landform unit on the accompanying five maps. Mapping of the non-woody environment was limited to recognising 'candidate' native non-woody vegetation. (VIS_ID 2102)

本研究针对Cobbora、Coolah、Coonabarabran、Mendooran及Tambar Springs共5幅1:100000比例尺地形图幅开展原生植被的描述与制图工作。植被格局通过航空像片解译(Air Photo Interpretation, API,比例尺1:50000)进行空间识别与勾绘,并借助卫星影像完成航空像片解译结果的地理配准(geo-referencing)。为每一类独特的植被格局赋予统一的临时植被编码(provisional vegetation code)。采用随机分层抽样法(random stratified sampling procedure)布设547个样方,采集了全面的区系数据(floristic data);分层方案遵循比例抽样原则,样方随机布设于各分层单元内,且不受土地权属(land tenure)限制。额外增设掩膜图层(mask layer)以区分“木本”与“非木本”植被,将调查工作聚焦于木本植物群落。 利用PATN软件将样方数据划分为44个木本区系群(woody floristic groups);辅助分析手段包括保真度分析(fidelity analysis)、同质性分析(homogeneity analysis)、最近邻分析(nearest neighbour analysis)及指示种分析(indicator species analysis)。木本区系群的定义基于结构优势种、诊断/指示种及特征种数据。将航空像片解译得到的临时植被格局编码与区系群进行匹配关联,最终生成制图单元(map units)。针对研究区南部空间数据与区系数据关联尚不明确的铁桉/红桉/松类组合群落,采用广义可加模型(Generalized Additive Model)开展群落格局分析。 最终共构建24个木本制图单元以表征木本植物群落,另设3个制图单元分别对应非木本区域、非原生植被区域及制图时处于恢复阶段的植被(regenerating vegetation)。配套发布的5幅地图将针对各制图单元的群落结构、区系组成及地貌单元展开详细描述。非木本环境的制图仅局限于识别“候选”原生非木本植被。(VIS_ID 2102)
提供机构:
data.nsw.gov.au
二维码
社区交流群
二维码
科研交流群
商业服务