Survival, growth and physiological status of Acacia disparrima and Eucalyptus crebra seedlings with respect to site management practices in Central Queensland, Australia

2013 ◽  
Vol 133 (1) ◽  
pp. 165-175 ◽  
Author(s):  
S. Hosseini Bai ◽  
T. J. Blumfield ◽  
Z. H. Xu
1993 ◽  
Vol 56 (1) ◽  
pp. 27-33 ◽  
Author(s):  
P. Hopmans ◽  
D. W. Flinn ◽  
P. W. Geary ◽  
I. B. Tomkins

2021 ◽  
Author(s):  
Lucy Treasure ◽  
Dr Alona Armstrong ◽  
Dr Stuart Sharp ◽  
Dr Simon Smart ◽  
Dr Guy Parker

<p>The energy sector is the largest contributor to global greenhouse gas emissions. Therefore it is imperative that we take steps to de-carbonise energy supplies if we are to meet the 2°C goal of the Paris Agreement.  Of the existing renewable energy technologies, Photovoltaic (PV) capacity has seen exponential growth in the past decade, with 508.1 GW of PV currently installed globally and predictions that it will become the dominant renewable energy source by 2050. A large proportion of this capacity is deployed as ground-mounted solar parks. Despite the rapid growth of solar parks, little research has been conducted into the ecosystem impacts. Here we use a systematic literature review of the available evidence to show that the main ecosystem impacts of solar parks can be grouped into five themes: microclimate, land-use change, soil and vegetation, wildlife impacts and pollution. Impacts can be positive or negative, and vary according to site location, former land use and management practices throughout the construction, operational and decommissioning phases of the solar park life cycle. The most widely reported impacts associated with the construction phase were habitat loss and fragmentation, with subsequent effects on fauna, flora, and soil. Commonly reported operational impacts included changes to local microclimate, pollution, mortality of wildlife and disturbance due to site maintenance. Decommissioning impacts depended largely on the site management objectives; sites continued to be managed to deliver ecosystem service co-benefits or returned to their original state prior to construction. The review also revealed significant knowledge gaps. Understanding the ecosystem impacts of solar parks is pivotal, both for informing site management that maximises ecosystem co-benefits and avoids detrimental impacts, and for quantifying the potential ecosystem costs and gains as required by policy, for example the upcoming mandatory biodiversity net gain requirement for UK planning applications.</p>


2021 ◽  
Vol 12 (2) ◽  
pp. 108
Author(s):  
Lekan Muritala Amusan ◽  
Clinton Ohis Aigbavboa ◽  
Tolulope Esther Olubiyi ◽  
Ogunbayo Fatai Babatunde

2006 ◽  
Vol 157 (2) ◽  
pp. 49-56 ◽  
Author(s):  
Karin Hilfiker ◽  
Claudia Zingerli ◽  
Jean-Pierre Sorg ◽  
Ruedi Lüthi

Fairly all selected NTFPs of the upland commune Ngo Luong in northwest Vietnam reveal a high market potential including opportunities for sustainable resource management. In order to achieve win-win situations at the research site, management of specific NTFPs through intensification or diversification applied by single households or interest groups is discussed. Apart from better management practices the NTFP producers' position within the market chain should be strengthened by calling for extension trainings on marketing relevant features. These findings base on investigations of household income, NTFP extraction and market chains of economically valuable NTFPs.


2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 20508-20508
Author(s):  
C. Blanke ◽  
P. W. Pisters ◽  
J. C. Trent ◽  
M. von Mehren ◽  
E. Levine ◽  
...  

20508 Background: Most data on treatment of GIST pts were derived from clinical studies, reflecting practice at academic referral centers. The reGISTry, an observational, internet-based database initiated in 2004, was designed to characterize evolving patterns of care for pts with GIST in both community and university practice settings. It also provides site feedback to allow comparison of site management practices to the aggregate reGISTry data. Methods: Physicians may serially enter data on any enrolled pt with confirmed GIST. Pts must give written informed consent. Collected data include pt demographics, clinical characteristics, clinical/economic outcomes and therapy provided for GIST. Analyses are performed every 6 months. Results: As of Oct 2006, there were 353 pts enrolled from 78 centers. 228 pts (65%) were from community-based practices; 184 pts (52%) were male, and 283 pts (80%) were Caucasian, with a median age of 65 years (range 18–92). Median time from diagnosis to enrollment was 1.1 years (range 0–11.7). At diagnosis, 282 pts (80%) had a localized tumor and 71 (20%) presented with metastatic disease. 335 pts (95%) had immunohistochemical KIT testing, and 1% had genotyping. 274 pts had surgery as first-line treatment (78%), including 84% of pts with primary disease and 52% with metastatic cancer. 14 % and 42% of pts with localized and metastatic disease respectively had systemic therapy as initial treatment. Of the 202 pts with follow-up, 170 (82%) retained the same primary decision-maker, usually the medical oncologist and/or surgeon (57%, 56% respectively). 3 patients reported missing days from work or school due to GIST in their first year since diagnosis. Therapeutic efficacy was assessed by tumor size on CT (53%), tumor size and radiodensity on CT (33%), clinical assessment only (14%) and PET (9%). 161 pts (46%) had been treated with imatinib mesylate and 20 pts (6%) sunitinib malate. Conclusions: The reGISTry remains a useful tool for determining evolving patterns in the management of GIST, and it points out important differences in official practice guidelines and community standards. KIT testing is common in the community, but mutational analysis is rare. Assessment by CT is customary, but PET imaging is rarely utilized in clinical practice. [Table: see text]


2021 ◽  
Vol 99 (10) ◽  
Author(s):  
Victoria Asselstine ◽  
Stephanie Lam ◽  
Filippo Miglior ◽  
Luiz F Brito ◽  
Hannah Sweett ◽  
...  

Abstract Ruminant supply chains contribute 5.7 gigatons of CO2-eq per annum, which represents approximately 80% of the livestock sector emissions. One of the largest sources of emission in the ruminant sector is methane (CH4), accounting for approximately 40% of the sectors total emissions. With climate change being a growing concern, emphasis is being put on reducing greenhouse gas emissions, including those from ruminant production. Various genetic and environmental factors influence cattle CH4 production, such as breed, genetic makeup, diet, management practices, and physiological status of the host. The influence of genetic variability on CH4 yield in ruminants indicates that genomic selection for reduced CH4 emissions is possible. Although the microbiology of CH4 production has been studied, further research is needed to identify key differences in the host and microbiome genomes and how they interact with one another. The advancement of “-omics” technologies, such as metabolomics and metagenomics, may provide valuable information in this regard. Improved understanding of genetic mechanisms associated with CH4 production and the interaction between the microbiome profile and host genetics will increase the rate of genetic progress for reduced CH4 emissions. Through a systems biology approach, various “-omics” technologies can be combined to unravel genomic regions and genetic markers associated with CH4 production, which can then be used in selective breeding programs. This comprehensive review discusses current challenges in applying genomic selection for reduced CH4 emissions, and the potential for “-omics” technologies, especially metabolomics and metagenomics, to minimize such challenges. The integration and evaluation of different levels of biological information using a systems biology approach is also discussed, which can assist in understanding the underlying genetic mechanisms and biology of CH4 production traits in ruminants and aid in reducing agriculture’s overall environmental footprint.


Author(s):  
Nathalie Pettorelli

This chapter presents a comprehensive overview of how satellite data can be used to support agriculture and forestry. The first two parts explore how satellite imagery can be used to monitor forests and crops, looking at opportunities to track changes in parameters such as tree height, tree ring width, and tree mortality from space, and reviewing how satellite data can be used for crop phenology and crop disease monitoring, as well as for crop yield measurements and predictions. The next sections focus on satellite remote sensing as a way to improve practices, discussing how satellite remote sensing technology can provide information on soil properties and inform management through the assessment of plant physiological status. The chapter concludes by discussing the role of satellite remote sensing in the context of precision farming and sustainable land use, and its possible contribution toward developing management practices at the field level to maximise economic output and to reduce adverse impact on the environment.


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