NSW Koala Likelihood Map v2.0 (August 2019)

The Koala Likelihood Map (KLM) predicts the likelihood of finding a koala relative to other arboreal mammals across a 10-km grid covering NSW. It is built using existing arboreal mammal records from the past 20 years (currently 1999 to 2019) and represents the likelihood of koalas as the proportion of all records within a grid cell that are koalas. The records of other arboreal mammals provide a measure of survey effort independent of koalas and allow identification of areas where other arboreal mammals have been recorded, but not koalas. The map also includes a measure of the confidence in the koala likelihood estimate. This enables deficiencies in the data to be highlighted, and recommendations to be made for areas requiring further survey. The KLM is a useful tool that can be used to inform a range of koala conservation and management issues, however it is not static and should be updated regularly as new data become available.\r\n\r\nThe KLM was first developed in 2014 for use in private native forestry regulation, on behalf of the NSW Environment Protection Authority. An updated and refined version of the map (NSW Koala Baseline Likelihood Map 2016) was produced in 2016 and has been used to inform provisions for koala protection under the Coastal Integrated Forestry Operations Approvals and is planned to inform the future review of the Private Native Forestry Code of Practice.\r\n\r\nThis latest version of the KLM (v2.0 August 2019) includes new data from BioNet and Spot Assessment Technique (SAT) survey databases, as well as SAT data from a targeted state-wide field survey program.\r\n\r\nThe KLM v2.0 (August 2019) is delivered under the NSW Koala Strategy's Koala Habitat Information Base. This comprises several layers of spatial information, including: Koala Habitat Suitability Model (KHSM) – the probability of finding koala habitat at any location; Koala Tree Suitability Index (KTSI) – the probability of finding a tree species that koalas are known to use for food or shelter; Koala Likelihood Map (KLM) including a confidence layer – predicts the likelihood of finding a koala at a location; Areas of Regional Koala Significance (ARKS) – identifies key koala populations and management areas with potential for long-term viability as well as priority threats to key koala populations; Native vegetation of NSW – this is a high-resolution map of native tree cover and water bodies; and all koala sightings recorded in NSW Bionet.\r\n\r\nAll Koala Habitat Information Base (KHIB) datasets are available for download below under 'Dataset Relationship'.考拉可能性地图（Koala Likelihood Map, KLM）可预测覆盖新南威尔士州（New South Wales, NSW）的10公里网格内，相较于其他树栖哺乳动物，考拉出现的可能性。该数据集基于过去20年（当前为1999年至2019年）的现有树栖哺乳动物观测记录构建，以网格单元内所有观测记录中考拉记录的占比，表征考拉出现的可能性。其他树栖哺乳动物的观测记录可作为独立于考拉的调查投入量的衡量依据，并可识别出有其他树栖哺乳动物记录但无考拉记录的区域。该地图还包含考拉可能性估算值的置信度衡量指标，可突出显示数据存在的缺陷，并为需要开展进一步调查的区域提供建议。KLM是一款可用于辅助解决一系列考拉保护与管理相关问题的实用工具，但它并非静态不变，应在获取新数据后定期更新。 KLM于2014年首次开发，用于代表新南威尔士州环境保护局（NSW Environment Protection Authority）开展私有原生林管理监管工作。2016年，该地图推出了经过更新与优化的版本——《2016年新南威尔士州考拉基线可能性地图（NSW Koala Baseline Likelihood Map 2016）》，该版本已用于为《沿海综合林业作业审批》框架下的考拉保护条款提供支撑，并计划为未来修订《私有原生林业务守则》提供参考依据。 本次推出的KLM最新版本（2019年8月发布的v2.0）纳入了来自BioNet数据库与样点评估技术（Spot Assessment Technique, SAT）调查数据库的新数据，同时包含了针对全州范围野外调查项目所获取的SAT数据。 2019年8月发布的KLM v2.0隶属于《新南威尔士州考拉战略》旗下的考拉栖息地信息库（Koala Habitat Information Base, KHIB）。该信息库包含多维度空间信息图层，具体如下：考拉栖息地适宜性模型（Koala Habitat Suitability Model, KHSM）——用于表征任意地点存在考拉栖息地的概率；考拉树木适宜性指数（Koala Tree Suitability Index, KTSI）——用于表征存在考拉已知用作食物或庇护所的树种的概率；考拉可能性地图（含置信度图层）——用于预测任意地点出现考拉的可能性；区域考拉重要性区域（Areas of Regional Koala Significance, ARKS）——用于识别核心考拉种群与具备长期存续潜力的管理区域，同时标注对核心考拉种群构成威胁的优先事项；新南威尔士州原生植被——高分辨率原生林木覆盖与水体分布图；以及新南威尔士州BioNet数据库中收录的所有考拉目击记录。 所有考拉栖息地信息库（KHIB）数据集均可通过下方的"数据集关联关系"板块下载获取。