scholarly journals FIELD FACILITIES IN GLOBAL WARMING AND TERRESTRIAL ECOSYSTEM RESEARCH

2007 ◽  
Vol 31 (2) ◽  
pp. 262-271 ◽  
Author(s):  
NIU Shu-Li ◽  
◽  
HAN Xing-Guo ◽  
MA Ke-Ping ◽  
WAN Shi-Qiang
2021 ◽  
Author(s):  
Jens Klump ◽  
Tim Brown ◽  
Rohan Clarke ◽  
Robert Glasgow ◽  
Steve Micklethwaite ◽  
...  

<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>


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Zhongen Niu ◽  
Honglin He ◽  
Gaofeng Zhu ◽  
Xiaoli Ren ◽  
Li Zhang ◽  
...  

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.


2020 ◽  
Author(s):  
Samantha Munroe ◽  
Francesca A McInerney ◽  
Jake Andrae ◽  
Nina Welti ◽  
Greg Guerin ◽  
...  

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


Author(s):  
Chantal Huijbers

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.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Samantha E. M. Munroe ◽  
Francesca A. McInerney ◽  
Jake Andrae ◽  
Nina Welti ◽  
Greg R. Guerin ◽  
...  

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.


2021 ◽  
Vol 9 ◽  
Author(s):  
Patrick Schleppi ◽  
Wim W. Wessel

The stable isotope 15N is an extremely useful tool for studying the nitrogen (N) cycle of terrestrial ecosystems. The affordability of isotope-ratio mass spectrometry has increased in the last decades and routine measurements of δ15N with an accuracy better than 1‰ are now easily achieved. Except perhaps for wood, which has a very high C/N ratio, isotope analysis of samples is, thus, no longer the main challenge in measuring the partitioning of 15N used as tracer in ecosystem studies. The central aim of such experiments is to quantitatively determine the fate of N after it enters an ecosystem, mainly as fertilizer, as atmospheric deposition or as plant litter. By measuring how much of this incoming N goes into different ecosystem pools, inferences can be made about the entire N cycle. Sample collection and preparation can be tedious work. Optimizing sampling schemes is thus an important aspect in the application of 15N in ecosystem research and can be helpful for obtaining a high precision of the results with the available manpower and budget. In this contribution, we combine statistical and practical considerations and give recommendations for the design of labeling experiments and also for assessments of natural 15N abundance. In particular, we discuss soil, vegetation and water sampling. We additionally address the most common questions arising during the calculation of tracer partitioning, and we provide some examples of the interpretation of experimental results.


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