Terrestrial Intactness (Classified)

This category of planning priorities in the CEC 2023 Land-Use Screens provides an estimate of terrestrial landscape condition based on the extent to which human impacts such as agriculture, urban development, natural resource extraction, and invasive species have disrupted the landscape across the State of California. It is based on the open-source logic modeling framework Environmental Evaluation Modeling System (EEMS) developed by Conservation Biology Institute (CBI). This multicriteria evaluation model result, last updated in 2016 and resolved at 1-kilometer square, spans values ranging from -1 to 1. The higher end of the spectrum indicates areas that are relatively intact based on the more than 30 input variables, and values in the lower end of the spectrum indicate where these human impacts to disturb the landscape and ecological function are relatively high.1 In the adapted version of the CBI Terrestrial Landscape Intactness given here, the dataset is partitioned into high and low categories based on the mean. Values of the dataset that lie above 0.3 are considered highly intact and are used as an exclusion. Values of the dataset that are less than or equal to 0.3 are allowed to remain in consideration for resource potential. Applying the partition at the mean allows for lands that are relatively more intact than disturbed to be considered for resource potential. The high category of landscape intactness given by this dataset is used as an exclusion in both the Core and SB 100 Terrestrial Climate Resilience Study screens. This layer is featured in the CEC 2023 Land-Use Screens for Electric System Planning data viewer. More information about this layer and its use in electric system planning is available in the Land Use Screens Staff Report in the CEC Energy Planning Library. [1] Degagne, R., J. Brice, M. Gough, T. Sheehan, and J. Strittholt. 2016. “Terrestrial Landscape Intactness 1 kilometer, California.” Conservation Biology Institute.https://databasin.org/datasets/e3ee00e8d94a4de58082fdbc91248a65/CEC 2023土地利用筛查（CEC 2023 Land-Use Screens）中的该类规划优先级数据集，基于农业、城市开发、自然资源开采及入侵物种等人类活动对加利福尼亚州全境景观的干扰程度，对陆地景观完整性进行评估。该数据集依托保护生物学研究所（Conservation Biology Institute, CBI）开发的开源逻辑建模框架——环境评估建模系统（Environmental Evaluation Modeling System, EEMS）构建。 这一多准则评估模型的最终结果最后更新于2016年，空间分辨率为1平方千米，取值范围介于-1至1之间。该值域的较高端代表基于30余项输入变量判定的相对完整区域，较低端则代表受人类活动干扰及生态功能破坏程度相对较高的区域[1]。 本数据集采用改编版的CBI陆地景观完整性指标，以平均值为界划分为高低两类。其中，取值大于0.3的区域被视为高完整性区域，需予以排除；取值小于或等于0.3的区域则可纳入资源潜力评估范围。通过以平均值为界进行分区，可将相对完整而非受干扰的土地纳入资源潜力考量范畴。 该数据集所划定的高景观完整性区域，在核心区及SB 100陆地气候韧性研究筛查（SB 100 Terrestrial Climate Resilience Study screens）中均需予以排除。此图层已纳入CEC 2023电力系统规划用地筛查数据查看器中。 关于该图层及其在电力系统规划中的应用详情，可查阅CEC能源规划库中的《用地筛查工作人员报告》（Land Use Screens Staff Report）。 [1] Degagne, R., J. Brice, M. Gough, T. Sheehan, and J. Strittholt. 2016. "Terrestrial Landscape Intactness 1 kilometer, California." Conservation Biology Institute. https://databasin.org/datasets/e3ee00e8d94a4de58082fdbc91248a65/