4604aaa3-0679-439a-8f88-d44e047d54d9 urn:uuid eng UTF-8 dataset Dataset 2021-10-05T04:09:14 creation ISO 19115 2016 surface 0 NSW eastern forest soil condition: digital soil maps 4604aaa3-0679-439a-8f88-d44e047d54d9 This dataset includes digital soil map products of key soil condition indicators covering the Regional Forest Agreement regions of eastern NSW. Raster maps at 100 m resolution reveal baseline (approximately 2008) levels of the soil indicators soil carbon, pH, bulk density, hillslope erosion and others. Maps are presented on trends of change resulting from different human and natural disturbances such as forest harvesting, uncontrolled stock grazing, climate change and bush fire. Full description of the digital soil maps and methods are presented in: Moyce MC, Gray JM, Wilson BR, Jenkins BR, Young MA, Ugbaje SU, Bishop TFA, Yang X, Henderson LE, Milford HB, Tulau MJ, 2021. [_Determining baselines, drivers and trends of soil health and stability in New South Wales forests: NSW Forest Monitoring & Improvement Program_](https://datasets.seed.nsw.gov.au/dataset/nsw-eastern-forest-soil-condition-report), Final report v1.1 for NSW Natural Resources Commission by NSW Department of Planning, Industry and Environment and University of Sydney. CLIMATE-AND-WEATHER-Climate-change FORESTS HAZARDS-Fire LAND-Use SOIL SOIL-Erosion dataset 2021-06-30T00:00:00 Covers area within Regional Forest Agreement regions that has woody vegetation as mapped in NSW 2008 woody vegetation layer dataset 2021-06-30T00:00:00 Did not include areas with non woody vegetation and those outside of NSW RFA regions. dataset 2021-06-30T00:00:00 Imperfect coverage of all environmental regimes in study area, ie, insufficient soil data in some areas of covariate space, and different temporal coverage of soil data. Potential limitations in assumptions made for modelling of change in soil condition with disturbance, for example (i) using forest management zones to represent differing levels of human disturbance and (ii) using broad spatial data on bushfire history to spatially model extent of change in soil condition from bushfire. dataset 2021-06-30T00:00:00 ... dataset 2021-06-30T00:00:00 The validation of the digital soil maps revealed only moderate statistical reliability, eg, Lin's concordance correlation coefficients (CCC) generally 0.3 to 0.4. Even though the maps have a spatial resolution of 100 m, they cannot be relied upon at this fine scale. Nevertheless, there is confidence in the broad spatial and temporal trends revealed by the study. dataset 2021-06-30T00:00:00 The authors have confidence in the broad spatial and temporal trends revealed by the study.