Climate Change Corridors Coastal North East NSW

## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied:\n\n\n\nThe data integrates best available information to delineate broad wildlife corridors, for fauna occupying cooastal habitat, along climatic gradients. The objective of the layer is to best delineate large-scale wildlife corridors that are significant for wildlife adaptation to the threatening processes of climate change. The work has been based on key habitat habitats (Scotts, 2003), vegetation mapping layers and NSW Wildlife Atlas and YETI databases to represent areas of the landscape that contain high conservation values and high fauna corridor values.\n\n## **Purpose** \n\nThis project was commissioned by the Conservation Partnerships, Parks and Wildlife Division to identify land areas to develop a strategic approach to the establishment of protected areas on private and other public lands that complements the public reserve system and enhances the CAR design principles such as representation, adequacy and comprehensiveness. The strategy will be based on improving connectivity to address potential impact of climate change. The identification of wildlife corridors for climate change will contribute to the conservation and protection of landscape scale climate change corridors. The project has strong links to the recently announced "Alps to Atherton" (A to A) Climate Change Corridor and is essentially a finer scale interpretation of the A to A concept and function at a regional scale.\n\n## **Dataset History** \n\nLineage: The Climate Change Corridors layer was primarily delineated by using a visual assessment of the landscape based on the spatial mapping of coastal fauna assemblage corridors as derived by the existing Key Habitats and Corridors for forest fauna (Scotts, 2003). Fauna assemblages were grouped together to best represent general climatic corridors significant for ccoastal habitat assemblages. The initial design was then refined and analysed using DEC vegetation mapping layers:- Northern Rivers CMA mappping (Ecological ,2005), Forest Ecosystem Mapping (NPWS, 1999) NSW Atlas records, YETI database and visual checking using SPOT5 (2005) satellite imagery. This stage of the project refined the boundaries of the broad corridors and assessed the significance of the corridors for forest fauna that were considered vulnerable to climate change effects. A process of expert review was carried out on the first output from the process with consideration of projected climate change effects. Positional Accuracy: 1km to 10 km Attribute Accuracy: The product is based on existing desk top data (best available). No ground truthing of the attributes has been carried out. Much of the information is derived through analysis of existing data products and expert review of those products and decision making. Therefore it is likely that some area may be subject to review if adequate field checking were to be made. The data represents a regional scale assessment of landscapes in terms of their benefit to wildlife ecology and landscape connectivity. Logical Consistency: Logical Consistency checks were done at various scales using ArcView GIS for all linework and attributes. All values and information is presented consistently and to specified standards and groups. Completeness: The data layer is complete to the boundaries of the study area - NRCMA + HCRCMA regions. Equivalent to and slightly beyond the EPRD North-east Branch juristiction.\n\n\n\nAttribute accuracy: The product is based on existing desk top data (best available). No ground truthing of the attributes has been carried out. Much of the information is derived through analysis of existing data products and expert review of those products and decision making. Therefore it is likely that some area may be subject to review if adequate field checking were to be made. The data represents a regional scale assessment of landscapes in terms of their benefit to wildlife ecology and landscape connectivity.\n\n## **Dataset Citation** \n\n"NSW Department of Environment, Climate Change and Water" (2010) Climate Change Corridors Coastal North East NSW. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/0a1b4dc6-07a4-4f2b-acc2-000eed75db22.

**摘要**

本数据集及其元数据声明由第三方提交至生物区域评估计划（Bioregional Assessment Programme），本文档按原始提交版本呈现。

本数据集整合现有最优信息，用于沿气候梯度划定栖息于海岸生境的野生动物的大型迁徙廊道。本图层的核心目标是精准界定大规模野生动物廊道，以助力野生动物应对气候变化带来的威胁。本研究基于关键栖息地（Scotts, 2003）、植被制图图层以及新南威尔士州野生动物地图集（NSW Wildlife Atlas）与YETI数据库（YETI Database），以表征景观中兼具高保护价值与高野生动物廊道价值的区域。

**项目目的**

本项目由保护合作与公园野生动物分部委托开展，旨在识别适宜区域，以制定战略方案，在私人及其他公共土地上建立保护区，补充公共保护地体系，并强化符合代表性（Representation）、充足性（Adequacy）与完备性（Comprehensiveness）的CAR保护区设计原则。本战略将以提升景观连通性为基础，以应对气候变化的潜在影响。针对气候变化的野生动物廊道识别工作，将有助于保护和维护景观尺度的气候变化廊道。本项目与新近公布的“阿尔卑斯至阿瑟顿”（Alps to Atherton，简称A到A）气候变化廊道项目联系紧密，本质上是A到A概念与功能在区域尺度上的精细化解读。

**数据集历史**

### 数据谱系

气候变化廊道图层最初通过目视评估景观完成，其依据为现有森林野生动物关键栖息地与廊道（Scotts, 2003）所推导的海岸野生动物类群廊道的空间制图结果。研究人员将野生动物类群进行归组，以最优表征对海岸生境类群具有重要意义的一般性气候廊道。随后，研究团队使用新南威尔士州环境与保护部（Department of Environment and Conservation, DEC）的植被制图图层对初始设计进行优化与分析：包括北河流域CMA（Northern Rivers CMA）制图（Ecological, 2005）、森林生态系统制图（国家公园与野生动物服务局（National Parks and Wildlife Service, NPWS）, 1999）、新南威尔士州地图集记录、YETI数据库，并通过SPOT5（2005）卫星影像开展目视校验。本项目阶段优化了大型廊道的边界，并评估了受气候变化影响的脆弱森林野生动物廊道的重要性。研究过程中，针对首轮产出成果开展了专家评审，并纳入了气候变化影响预测的相关考量。

#### 位置精度

1km至10km

#### 属性精度

本产品基于现有桌面数据（现有最优数据）构建，未对属性开展实地验证。多数信息通过分析现有数据产品、对这些产品进行专家评审及决策推导得出。因此，若开展充分的野外核查，部分区域的内容可能需要修订。本数据集表征了景观在野生动物生态与景观连通性方面的效益的区域尺度评估。

#### 逻辑一致性

使用ArcView GIS在多尺度下对所有线工作业与属性开展逻辑一致性检查。所有数值与信息均按指定标准与分类进行统一呈现。

#### 完整性

本数据图层完整覆盖研究区域边界——北河流域CMA（NRCMA）与赫维湾CMA（HCRCMA）区域，相当于并略超出东北部分支（EPRD North-east Branch）的管辖范围。

【重复说明】属性精度

本产品基于现有桌面数据（现有最优数据）构建，未对属性开展实地验证。多数信息通过分析现有数据产品、对这些产品进行专家评审及决策推导得出。因此，若开展充分的野外核查，部分区域的内容可能需要修订。本数据集表征了景观在野生动物生态与景观连通性方面的效益的区域尺度评估。

**数据集引用**

"新南威尔士州环境、气候与水资源部（NSW Department of Environment, Climate Change and Water）(2010) 新南威尔士州东北部海岸气候变化廊道。生物区域评估源数据集。2019年3月13日查阅，http://data.bioregionalassessments.gov.au/dataset/0a1b4dc6-07a4-4f2b-acc2-000eed75db22."