Contact for the resource

Terrestrial Ecosystem Research Network

771 record(s)
 
Type of resources
Topics
Keywords
Contact for the resource
Provided by
Years
Formats
Update frequencies
status
From 1 - 10 / 771
  • Categories    

    This dataset indicates the presence and persistence of water across New South Wales between 1988 and 2012. Water is one of the world’s most important resources as it’s critical for human consumption, agriculture, the persistence of flora and fauna species and other ecosystem services. Information about the spatial distribution and prevalence of water is necessary for a range of business, modelling, monitoring, risk assessment, and conservation activities. For example, one of the necessary steps in the NSW State-wide Landcover and Trees Study (SLATS), which monitors vegetation change and is used in the production of vegetation maps, involves removing non-vegetative features such as water bodies through water masking. Water count The water count product is based on water index and water masks for NSW (Danaher & Collett 2006), and represents the proportion of observations with water present across the Landsat time series as a fraction of total number of possible observations in the 25yr period (1 Jan 1988 to 31 Dec 2012). The product has two bands where band 1 is the number of times water was present across the time series, and band 2 is the count of unobscured (i.e. non-null) input pixels, or number of total observations for that pixel. Cloud, cloud-shadow, steep slopes and topographic shadow can obscure the ability to count water presence. Water Prevalence The water prevalence product is extracted from the water count product and provides a measure of the relative persistence of water in the landscape (e.g. from always present to rarely and never present). There are 12 classes representing the percentage of time a pixel has had water present out of the total number of observations for that pixel (i.e Band 1/Band 2 of the water count product). Water prevalence mapping provides information for multiple, wide-reaching applications. For example, distance to locations of persistent water bodies can be modelled as a contributing indicator of potential biodiversity refugia. Files align with Landsat paths and rows (see https://www.usgs.gov/core-science-systems/nli/landsat/landsat-tools), with files for water count denoted 'dd7' and water prevalence 'ddh'.

  • Categories    

    The dataset can be reused for contintental-wide synthesis of the cover of Australian grasses. It consists of high quality, well-described plot-based data extracted from TERN repository on 13/3/2014. The data includes vegetation records for the Poaceae family from the following dataset: ABARES Ground Cover Reference Sites Database, Biological Survey of South Australia - Vegetation Survey, Biological Database of South Australia, Corveg (Queensland), TERN AusPlots Rangelands Survey Program, Biological Survey of the Ravensthorpe Range (Western Australia).The entire content of the portal was initially extracted using the portal's download feature to obtain the full extent of available data for the following all datasets. These data were loaded into a PostgreSQL database. Subsequently, a SQL query was built for each of the cited datasets which produced a flat table containing information about the survey name, site identifier, visit date, coordinates, species, abundance, biomass and/or cover class, filtering on species of the Poaceae family using a genus list obtained from the website of the Atlas of Living Australia (http://www.ala.org.au/).

  • Categories    

    <p>Digital Cover Photography (DCP) upward-looking images were collected annually to capture vegetation cover at the TERN Karawatha Peri-Urban SuperSite. These images can be used to estimate Leaf area index (LAI), Crown Cover or Foliage Projective Cover (FPC). </p><p> The Karawatha Peri-Urban SuperSite was established in 2007 and decommissioned in 2018. The site was located in Eucalypt forest at Karawatha Forest. For additional site information, see https://deims.org/f15bc7aa-ab4a-443b-a935-dbad3e7101f4 . </p><p> Other images collected at the site include photopoints and ancilliary images of fauna and flora. </p>

  • Categories    

    High quality digital site reference images are captured for the core 1 hectare vegetation plot of the site on an annual basis to provide context for researchers to understand the general layout and vegetation of the study site, and as a visual reference to monitor any changes over time. Photopoints were taken annually using the five point photopoint method. The set of images for each year usually consists of twenty images: four images taken at each corner of the plot facing each of the four cardinal points, and four images taken from the center of the plot facing each corner. <br /> The Karawatha Peri-Urban Site was established in 2007 and decommissioned in 2018. The site was located in Eucalypt forest at Karawatha Forest. For additional site information, see https://deims.org/f15bc7aa-ab4a-443b-a935-dbad3e7101f4. <br /> Other images collected at the site include digital cover photography and ancillary images of fauna and flora.

  • Categories    

    The Landsat-derived fractional cover layer gives the amount of bare ground, green vegetation, and dead vegetation for each pixel on a specific date. The landscape of NSW undergoes a large variation in greenness throughout the seasonal and drought cycles. Information about the variation in greenness can be useful for a variety of mapping and planning tasks. Areas of green vegetation are important for native species habitat and human recreation activities. Green areas in the landscape are often related to the availability of near surface water or recent inundation, such as bogs, swamps and mires. These green areas are important for native plants and animals as locations of food and water in dry times. The green fraction has been analysed for a sequence of images to show how long an area stays green following a greening event, such as grass growth in response to rainfall. The map of green accumulation for NSW was created from Landsat images from 1988 to 2012. Areas exhibiting the highest values are the areas of NSW that respond with high green cover for a long period after a greening event.

  • Categories    

    <br>This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.4.7) as described by Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER).</br> <br>The Cape Tribulation flux station was located in the land that is adjacent to the Daintree National Park which is part of the Wet Tropics World Heritage Area (WTWHA). The site is flanked to the west by coastal ranges rising to more than 1400&nbsp;m and to the east by the Coral Sea. The red clay loam podzolic soils are of metamorphic origin and have good drainage characteristics. The metamorphic rocks grade into granite boulders along Thompson Creek which runs along the northern boundary of the site. The crane site itself is gently sloping but the fetch area makes the site one of very complex terrain. The forest is classed as complex mesophyll vine forest (type 1a) and has an average canopy height of 25m. The dominant canopy trees belong to the <i>Apocynaceae</i>, <i>Arecaceae</i>, <i>Euphorbiaceae</i>, <i>Lauraceae</i>, <i>Meliaceae</i>, <i>Myristicaceae</i> and <i>Myrtaceae</i> families. The forest is continuous for several kilometres around the crane except for an area 300&nbsp;m due east of the crane, which is regrowth forest. Annual average rainfall at the site is around 5180&nbsp;mm and is strongly seasonal, with 66% falling between January and April (wet season). Mean daily temperature ranges from 26.6&nbsp;°C in February to 21.2&nbsp;°C in July. </br> <br> Tropical cyclones are a frequent occurrence in Far North Queensland. These severe tropical storm systems are natural phenomena which play a major role in determining the ecology of Queensland's tropical lowland rainforests. In March 1999 Tropical Cyclone Rona (Category 3) passed over the Cape Tribulation area causing widespread damage (gusts >170&nbsp;km/h). At the site several large trees fell, nearly all of the remaining trees were stripped of leaves and the lianas towers were torn to ground level. </br> <br> The flux station was mounted at the 45&nbsp;m level on the tower of the Australian Canopy Crane external link. The canopy crane is a Liebherr 91 EC, freestanding construction tower crane. The crane is 48.5&nbsp;m tall with a radius of 55&nbsp;m enabling access to 1 hectare of rainforest. Fluxes of heat, water vapour and carbon dioxide were measured using the open-path eddy covariance technique. Supplementary measurements above the canopy included temperature, humidity, rainfall, total solar; these measurements have continued post the flux system decommissioning. Heat flux, soil temperature and water content (time domain reflectometry) were measured in proximity to the flux station; these measurements have continued post the flux system decommissioning. Detailed biometric measurements are made at the crane site and all trees have regular (5 yearly) dbh measurements and canopy mapping carried out. Monitoring bores (3) are located on site. Leaf litter measurements are carried out on a monthly basis.

  • Categories    

    <p>Soil is a huge carbon (C) reservoir, but where and how much extra C can be stored is unknown. Here, using 5089 observations, we estimated that the uppermost 30&nbsp;cm of Australian soil holds 13&nbsp;Gt (10–18&nbsp;Gt) of mineral-associated organic carbon (MAOC). Using a frontier line analyses, described in Viscarra Rossel et al. (2023), we estimated the maximum amounts of MAOC that Australian soils could store in their current environments, and calculated the MAOC deficit, or C sequestration potential. We propagated the uncertainties from the frontier fitting and mapped the estimates of these values over Australia using machine learning and kriging with external drift (KED). The maps show regions where the soil is more in MAOC deficit and has greater sequestration potential. The modelling shows that the variation over the whole continent is determined mainly by climate, linked to vegetation, and soil mineralogy. We find that the MAOC deficit in Australian soil is 40&nbsp;Gt (25–60&nbsp;Gt). The deficit in the vast rangelands is 20.84&nbsp;Gt (13.97–29.70&nbsp;Gt) and the deficit in cropping soil is 1.63&nbsp;Gt (1.12–2.32&nbsp;Gt). Our findings suggest that the C sequestration potential of Australian soil is limited by climate.

  • Categories    

    The climate adjusted linear seasonal persistent green trend is derived from analysis of the linear seasonal persistent green trend, adjusted for rainfall. The current version is based on the 1987-2014 period. <br> Seasonal persistent green cover is derived from seasonal cover using a weighted smooth spline fitting routine. This weights a smooth line to the minimum values of the seasonal green cover. This smooth minimum is designed to represent the slower changing green component, ideally consisting of perennial vegetation including over-storey, mid-storey and persistent ground cover. The seasonal persistent green is then summarised using simple linear regression, and the slope of the fitted line is captured in the linear seasonal persistent green product. This product is further processed to produce a climate-adjusted version.

  • Categories    

    Soil collection and analysis of chemical and physical attributes was carried out at the Daintree Rainforest, Cape Tribulation site to provide contextual data for the Biomes of Australian Soil Environments (BASE) soil microbial diversity project.

  • Categories    

    The record contains images of elevation profile of the Tumbarumba Wet Eucalypt Site obtained from Airborne full waveform lidar and hyperspectral data in the VNIR bands using the a research aircraft of Flinders University – Airborne Research Australia (ARA).