scholarly journals A spatial-temporal continuous dataset of the transpiration to evapotranspiration ratio in China from 1981–2015

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Zhongen Niu ◽  
Honglin He ◽  
Gaofeng Zhu ◽  
Xiaoli Ren ◽  
Li Zhang ◽  
...  
Keyword(s):  
Hydrological Cycle ◽  
Terrestrial Ecosystem ◽  
Research Network ◽  
Energy Budgets ◽  
Climate Data ◽  
Area Index ◽  
Large Variability ◽  
Ecosystem Research ◽  
Insight Into

Abstract The ratio of plant transpiration to total terrestrial evapotranspiration (T/ET) captures the role of vegetation in surface-atmosphere interactions. However, several studies have documented a large variability in T/ET. In this paper, we present a new T/ET dataset (also including transpiration, evapotranspiration data) for China from 1981 to 2015 with spatial and temporal resolutions of 0.05° and 8 days, respectively. The T/ET dataset is based on a model-data fusion method that integrates the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model with multivariate observational datasets (transpiration and evapotranspiration). The dataset is driven by satellite-based leaf area index (LAI) data from GLASS and GLOBMAP, and climate data from the Chinese Ecosystem Research Network (CERN). Observational annual T/ET were used to validate the model, with R2 and RMSE values were 0.73 and 0.07 (12.41%), respectively. The dataset provides significant insight into T/ET and its changes over the Chinese terrestrial ecosystem and will be beneficial for understanding the hydrological cycle and energy budgets between the land and the atmosphere.

scholarly journals Exploring the Potential of DSCOVR EPIC Data to Retrieve Clumping Index in Australian Terrestrial Ecosystem Research Network Observing Sites

2021 ◽  
Vol 2 ◽  
Author(s):  
Jan Pisek ◽  
Stefan K. Arndt ◽  
Angela Erb ◽  
Elise Pendall ◽  
Crystal Schaaf ◽  
...  
Keyword(s):  
Terrestrial Ecosystem ◽  
Earth Observation ◽  
Research Network ◽  
Area Index ◽  
Diverse Range ◽  
General Validity ◽  
Ecosystem Research ◽  
Wide Range ◽  
Clumping Index ◽  
Foliage Clumping

Vegetation foliage clumping significantly alters the radiation environment and affects vegetation growth as well as water, carbon cycles. The clumping index (CI) is useful in ecological and meteorological models because it provides new structural information in addition to the effective leaf area index. Previously generated CI maps using a diverse set of Earth Observation multi-angle datasets across a wide range of scales have all relied on the single approach of using the normalized difference hotspot and darkspot (NDHD) method. We explore an alternative approach to estimate CI from space using the unique observing configuration of the Deep Space Climate Observatory Earth Polychromatic Imaging Camera (DSCOVR EPIC) and associated products at 10 km resolution. The performance was evaluated with in situ measurements in five sites of the Australian Terrestrial Ecosystem Research Network comprising a diverse range of canopy structure from short and sparse to dense and tall forest. The DSCOVR EPIC data can provide meaningful CI retrievals at the given spatial resolution. Independent but comparable CI retrievals obtained with a completely different sensor and new approach were encouraging for the general validity and compatibility of the foliage clumping information retrievals from space. We also assessed the spatial representativeness of the five TERN sites with respect to a particular point in time (field campaigns) for satellite retrieval validation. Our results improve our understanding of product uncertainty both in terms of the representativeness of the field data collected over the TERN sites and its relationship to Earth Observation data at different spatial resolutions.

scholarly journals Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Honglin He ◽  
Rong Ge ◽  
Xiaoli Ren ◽  
Li Zhang ◽  
Qingqing Chang ◽  
...  
Keyword(s):  
Northern Hemisphere ◽  
Global Climate ◽  
Meteorological Data ◽  
C Sequestration ◽  
Research Network ◽  
Soil Biology ◽  
Area Index ◽  
Ecosystem Research ◽  
Organic C ◽  
C Cycle

AbstractChinese forests cover most of the representative forest types in the Northern Hemisphere and function as a large carbon (C) sink in the global C cycle. The availability of long-term C dynamics observations is key to evaluating and understanding C sequestration of these forests. The Chinese Ecosystem Research Network has conducted normalized and systematic monitoring of the soil-biology-atmosphere-water cycle in Chinese forests since 2000. For the first time, a reference dataset of the decadal C cycle dynamics was produced for 10 typical Chinese forests after strict quality control, including biomass, leaf area index, litterfall, soil organic C, and the corresponding meteorological data. Based on these basic but time-discrete C-cycle elements, an assimilated dataset of key C cycle parameters and time-continuous C sequestration functions was generated via model-data fusion, including C allocation, turnover, and soil, vegetation, and ecosystem C storage. These reference data could be used as a benchmark for model development, evaluation and C cycle research under global climate change for typical forests in the Northern Hemisphere.

Building Australia’s Scalable Drone Cloud

2021 ◽  
Author(s):  
Jens Klump ◽  
Tim Brown ◽  
Rohan Clarke ◽  
Robert Glasgow ◽  
Steve Micklethwaite ◽  
...  
Keyword(s):  
Data Management ◽  
Best Practice ◽  
Management Practices ◽  
Agricultural Research ◽  
Terrestrial Ecosystem ◽  
Large Data ◽  
Sensor Data ◽  
Research Network ◽  
Ecosystem Research ◽  
Plant Phenomics

<p>Remotely Piloted Aircraft (RPA), commonly known as drones, provide sensing capabilities that address the critical scale-gap between ground- and satellite-based observations. Their versatility allows researchers to deliver near-real-time information for society.</p><p>Key to delivering RPA information is the capacity to enable researchers to systematically collect, process, manage and share RPA-borne sensor data. Importantly, this should allow vertical integration across scales and horizontal integration across different RPA deployments. However, as an emerging technology, the best practice and standards are still developing and the large data volumes collected during RPA missions can be challenging.</p><p>Australia’s Scalable Drone Cloud (ASDC) aims to coordinate and standardise how scientists from across earth, environmental and agricultural research manage, process and analyse data collected by RPA-borne sensors, by establishing best practices in managing 3D-geospatial data and aligned with the FAIR data principles.</p><p>The ASDC is building a cloud-native platform for research drone data management and analytics, driven by exemplar data management practices, data-processing pipelines, and search and discovery of drone data. The aim of the platform is to integrate sensing capabilities with easy-to-use storage, processing, visualisation and data analysis tools (including computer vision / deep learning techniques) to establish a national ecosystem for drone data management.</p><p>The ASDC is a partnership of the Monash Drone Discovery Platform, CSIRO and key National Collaborative Research Infrastructure (NCRIS) capabilities including the Australian Research Data Commons (ARDC), Australian Plant Phenomics Facility (APPF), Terrestrial Ecosystem Research Network (TERN), and AuScope.</p><p>This presentation outlines the roadmap and first proof-of-concept implementation of the ASDC.</p>

scholarly journals The photosynthetic pathways of plant species surveyed in Australia’s national terrestrial monitoring network

2020 ◽  
Author(s):  
Samantha Munroe ◽  
Francesca A McInerney ◽  
Jake Andrae ◽  
Nina Welti ◽  
Greg Guerin ◽  
...  
Keyword(s):  
Vegetation Change ◽  
Stable Carbon Isotope ◽  
Isotope Analysis ◽  
Terrestrial Ecosystem ◽  
Monitoring Network ◽  
Scientific Data ◽  
Research Network ◽  
Photosynthetic Pathway ◽  
Ecosystem Research ◽  
Photosynthetic Pathways

The photosynthetic pathway of plants is a fundamental trait that influences terrestrial environments from the local to global level. The abundance of different photosynthetic pathways in Australia is expected to undergo a substantial shift due to climate change and rising atmospheric CO2; however, tracking change is hindered by a lack of data on the pathways of species, as well as their distribution and relative cover within plant communities. Here we present the photosynthetic pathways for 2428 species recorded across 541 plots surveyed by Australia’s Terrestrial Ecosystem Research Network (TERN) between 2011 and 2017. This dataset was created to facilitate research exploring trends in vegetation change across Australia. Species were assigned a photosynthetic pathway using published literature and stable carbon isotope analysis of bulk tissue. The photosynthetic pathway of species can be extracted from the dataset individually, or used in conjunction with vegetation surveys to study the occurrence and abundance of pathways across the continent. This dataset will be updated as TERN’s plot network expands and new information becomes available. This manuscript is currently in review with the journal "Scientific Data" and was submitted on 17/11/2020

scholarly journals ecoEd: Cohesive training and skill development for digital ecoscience tools

2019 ◽  
Vol 3 ◽  
Author(s):  
Chantal Huijbers
Keyword(s):  
Training Program ◽  
Spatial Data ◽  
Environmental Science ◽  
Skill Development ◽  
Terrestrial Ecosystem ◽  
Natural World ◽  
Research Network ◽  
Ecosystem Research ◽  
Theoretical Concepts ◽  
Industry Professionals

Digital research infrastructures such as data portals and virtual laboratories enable easier access to data and analytical tools. Such infrastructures are essential to deliver research excellence that drives innovation, but we also need to ensure that we have a skilled workforce that can use these infrastructures. Therefore, training and skill development of students, researchers, government practitioners and industry professionals is key to the long-term success of this investment. In Australia, a suite of digital infrastructures has been developed for environmental sciences to enhance our understanding of the natural world and making forward projections into novel conditions (e.g. Atlas of Living Australia, Biodiversity and Climate Change Virtual Laboratory, ecocloud, Terrestrial Ecosystem Research Network). To provide users with a holistic approach to environmental spatial data discovery and analysis, these infrastructures have joined forces to deliver an exciting and innovative new training program. This program, called ecoEd, provides cohesive training and skill development to university lecturers, researchers and industry professionals enabling them to combine theoretical concepts with real-world applications. In this presentation, I will present how ecoEd was developed and the outcomes of the training sessions in which a group of ecoEd Champions absorbed ready-to-use lecture and workshop modules along with tools and knowledge on how to use the platforms. These resources can immediately be used in undergraduate courses that focus on topics such as ecology, biogeography, conservation biology, environmental management and spatial analysis as well as in stand alone workshops for researchers and practitioners. The training program aims to provide the Champions with the resources and knowledge required so that they can confidently re-deliver the lectures and workshops in their own institutions. As such, ecoEd is increasing the capacity of Australia’s environmental science community to advance science and deliver outcomes that underpin the sustainable use of our ecosystems using the latest advances in digital technologies. Moreover, it is enabling first-rate science education in Australia by supporting and nurturing our future scientists.

scholarly journals The photosynthetic pathways of plant species surveyed in Australia’s national terrestrial monitoring network

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Samantha E. M. Munroe ◽  
Francesca A. McInerney ◽  
Jake Andrae ◽  
Nina Welti ◽  
Greg R. Guerin ◽  
...  
Keyword(s):  
Vegetation Change ◽  
Stable Carbon Isotope ◽  
Isotope Analysis ◽  
Terrestrial Ecosystem ◽  
Monitoring Network ◽  
Research Network ◽  
Photosynthetic Pathway ◽  
Ecosystem Research ◽  
Photosynthetic Pathways ◽  
Terrestrial Environments

AbstractThe photosynthetic pathway of plants is a fundamental trait that influences terrestrial environments from the local to global level. The distribution of different photosynthetic pathways in Australia is expected to undergo a substantial shift due to climate change and rising atmospheric CO2; however, tracking change is hindered by a lack of data on the pathways of species, as well as their distribution and relative cover within plant communities. Here we present the photosynthetic pathways for 2428 species recorded across 541 plots surveyed by Australia’s Terrestrial Ecosystem Research Network (TERN) between 2011 and 2017. This dataset was created to facilitate research exploring trends in vegetation change across Australia. Species were assigned a photosynthetic pathway using published literature and stable carbon isotope analysis of bulk tissue. The photosynthetic pathway of species can be extracted from the dataset individually, or used in conjunction with vegetation surveys to study the occurrence and abundance of pathways across the continent. This dataset will be updated as TERN’s plot network expands and new information becomes available.

scholarly journals A Vegetation and Soil Survey Method for Surveillance Monitoring of Rangeland Environments

2019 ◽  
Author(s):  
Ben Sparrow ◽  
Jeff Foulkes ◽  
Glenda Wardle ◽  
Emrys Leitch ◽  
Stefan Caddy-Retalic ◽  
...  
Keyword(s):  
Soil Survey ◽  
Research Network ◽  
Survey Method ◽  
Permanent Plots ◽  
Differential Gps ◽  
Monitoring Method ◽  
Area Index ◽  
Ecosystem Research ◽  
Soil Attributes ◽  
Advanced Analysis

Ecosystem surveillance monitoring is critical to managing natural resources and especially so under changing environments. Despite this importance, the design and implementation of monitoring programs across large temporal and spatial scales has been hampered by the lack of appropriately standardised methods and data streams. To address this gap, we outline a surveillance monitoring method based on permanent plots and voucher samples suited to rangeland environments around the world that is repeatable, cost-effective, appropriate for large-scale comparisons and adaptable to other global biomes. The method provides comprehensive data on vegetation composition and structure along with soil attributes relevant to plant growth, delivered as a combination of modules that can be targeted for different purposes or available resources. Plots are located in a stratified design across vegetation units, landforms and climates to enhance continental and global comparisons. Changes are investigated through revisits. Vegetation is measured to inform on composition, cover and structure. Samples of vegetation and soils are collected and tracked by barcode labels and stored long-term for subsequent analysis. Technology is used to enhance the accuracy of field methods, including differential GPS r plot locations, instrument based Leaf Area Index (LAI) measures, and three dimensional photo-panoramas for advanced analysis. A key feature of the method is the use of electronic field data collection to enhance data delivery into a publicly-accessible database.Our method is pragmatic, whilst still providing consistent data, information and samples on key vegetation and soil attributes. The method is operational and has been applied at more than 704 field locations across the Australian rangelands as part of the Ecosystem Surveillance program of the Terrestrial Ecosystem Research Network (TERN). The methodology enables continental analyses, and has been tested in communities broadly representative of rangelands globally, with components being applicable to other biomes. Here we also recommend the consultative process and guiding principles that drove the development of this method as an approach for development of the method into other biomes. The consistent, standardised and objective method enables continental, and potentially global analyses than were not previously possible with disparate programs and datasets.

Biodiversity and Environmental Change

2014 ◽  
Keyword(s):  
Environmental Change ◽  
Terrestrial Ecosystem ◽  
Cost Effective ◽  
Research Network ◽  
Ecological Research ◽  
Ecological Data ◽  
Ecosystem Research ◽  
Australian Continent ◽  
Long Term Ecological Research

This data-rich book demonstrates the value of existing national long-term ecological research in Australia for monitoring environmental change and biodiversity. Long-term ecological data are critical for informing trends in biodiversity and environmental change. The Terrestrial Ecosystem Research Network (TERN) is a major initiative of the Australian Government and one of its key areas of investment is to provide funding for a network of long-term ecological research plots around Australia (LTERN). LTERN researchers and other authors in this book have maintained monitoring sites, often for one or more decades, in an array of different ecosystems across the Australian continent – ranging from tropical rainforests, wet eucalypt forests and alpine regions through to rangelands and deserts. This book highlights some of the temporal changes in the environment that have occurred in the various systems in which dedicated field-based ecologists have worked. Many important trends and changes are documented and they often provide new insights that were previously poorly understood or unknown. These data are precisely the kinds of data so desperately needed to better quantify the temporal trajectories in the environment in Australia. By presenting trend patterns (and often also the associated data) the authors aim to catalyse governments and other organisations to better recognise the importance of long-term data collection and monitoring as a fundamental part of ecologically-effective and cost-effective management of the environment and biodiversity.

Australia’s Terrestrial Ecosystem Research Network

2017 ◽  
pp. 427-448 ◽  
Author(s):  
Nicole Thurgate ◽  
Andrew J. Lowe ◽  
Timothy F. Clancy
Keyword(s):  
Terrestrial Ecosystem ◽  
Research Network ◽  
Ecosystem Research
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