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Extant natural vegetation for Cobbadah, Manilla and Tamworth VIS_ID 3796

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Research Data Australia2025-12-20 收录
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https://researchdata.edu.au/extant-natural-vegetation-visid-3796/3833530
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资源简介:
Extant natural vegetation is mapped to local scale plant community level in the Cobbadah, Manilla and Tamworth 1 : 100 000 mapsheets. The mapsheets fall within the Namoi and Border Rivers/Gwydir Catchment Management Areas. Extant (or existing) vegetation includes, unlike potential vegetation, derived grassland communities and human impact of urbanisation and cropping.;\r\n;\r\nThe mapping methodology involved: (i) using full floristic data to derive a plant community classification, (ii) deriving numerous environmental spatial layers, (iii) combining floristics and environmental layers in a statistical model i.e. generalized dissimilarity model (GDM), (iv) constraining model results with aerial photograph interpretation (API) linework and a constraints matrix, and (v) combining individual community probability layers into one natural vegetation map based on the highest probability per grid cell. Mapping was conducted at a 25m grid cell resolution.

本数据集针对科巴达(Cobbadah)、马尼拉(Manilla)与塔姆沃思(Tamworth)三张1:10万比例尺地形图幅,将现存自然植被精细制图至局域尺度植物群落级别。上述地形图幅隶属于纳莫伊(Namoi)、边境河流/古迪尔(Border Rivers/Gwydir)流域管理区。与潜在植被不同,现存(或现有)植被涵盖次生草地群落,以及受城市化与农耕活动干扰的植被类型。 本次制图方法如下:(i) 利用完整的植物区系数据推导植物群落分类体系;(ii) 生成多环境空间图层;(iii) 将区系数据与环境图层整合至广义相异模型(generalized dissimilarity model, GDM)这一统计模型中;(iv) 借助航空相片解译(API)线划图与约束矩阵对模型结果进行约束;(v) 基于每个网格单元的最高概率值,将各植物群落概率图层合并为单张自然植被分布图。本次制图采用25米的网格单元分辨率。
提供机构:
data.nsw.gov.au
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