scholarly journals Population collapse and retreat to fire refugia of the Tasmanian endemic conifer Athrotaxis selaginoides following the transition from Aboriginal to European fire management

2020 ◽  
Vol 26 (5) ◽  
pp. 3108-3121 ◽  
Author(s):  
Andrés Holz ◽  
Sam W. Wood ◽  
Carly Ward ◽  
Thomas T. Veblen ◽  
David M. J. S. Bowman
Keyword(s):  
Fire Management ◽  
Population Collapse ◽  
Tasmanian Endemic

Effects of high-severity fire drove the population collapse of the subalpine Tasmanian endemic coniferAthrotaxis cupressoides

2014 ◽  
Vol 21 (1) ◽  
pp. 445-458 ◽  
Author(s):  
Andrés Holz ◽  
Sam W. Wood ◽  
Thomas T. Veblen ◽  
David M.J.S. Bowman
Keyword(s):  
Population Collapse ◽  
High Severity ◽  
Tasmanian Endemic

Efektivitas Layanan Darurat Jakarta Siaga 112 dalam Penanganan Kebakaran oleh UPT. Pusat Data & Informasi Kebencanaan BPBD Provinsi DKI Jakarta

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Musa Musa
Keyword(s):  
Emergency Service ◽  
Fire Management ◽  
Emergency Services ◽  
The Public ◽  
Information Center ◽  
Disaster Data ◽  
In Fire ◽  
Document Review

This research was conducted to determine the Effectiveness of Jakarta Siaga 112 Emergency Services in Fire Management by UPT. Disaster Data & Information Center of BPBD DKI Jakarta Province by paying attention to aspects contained in the Effectiveness of the Jakarta Siaga Emergency Service Program 112. The research method was carried out with a case study method with data collection techniques using interview methods and document review. Interviews were conducted on 10 (ten) key informants, document review focused on documents related to the Jakarta Emergency Alert Service 112 Effectiveness research in Fire Management. The results showed that the Effectiveness of Jakarta Siaga 112 Emergency Services in Fire Management by UPT. The Center for Disaster Data & Information BPBD DKI Jakarta Province Its effectiveness is still low, due to the Implementation of Emergency Services Jakarta Standby 112 in Fire Management implemented by UPT. Disaster Data & Information Center of BPBD DKI Jakarta Province in terms of the Target Group Understanding of the Program, the Achievement of the Program Objectives aspects, and the Program Follow-up aspects. It is recommended to continue to disseminate this Emergency Service to the public, it is necessary to increase the firm commitment of the Head of 8 SKPD related to fire management so that all units play a role in accordance with the Standard Operating Procedures (SOPs) for Fire Management and the evaluation and follow-up of program services that are held periodically 3 once a month.Keywords: Effectiveness, Emergency Services, Fire Handling

Fire modelling in Tasmanian buttongrass moorlands. III. Dead fuel moisture

2001 ◽  
Vol 10 (2) ◽  
pp. 241 ◽  
Author(s):  
Jon B. Marsden-Smedley ◽  
Wendy R. Catchpole
Keyword(s):  
Prediction Model ◽  
Regression Model ◽  
Fire Management ◽  
Prediction Models ◽  
Dew Point ◽  
Seasonal Effects ◽  
Experimental Program ◽  
Fuel Moisture ◽  
Fire Behaviour ◽  
Fire Modelling

An experimental program was carried out in Tasmanian buttongrass moorlands to develop fire behaviour prediction models for improving fire management. This paper describes the results of the fuel moisture modelling section of this project. A range of previously developed fuel moisture prediction models are examined and three empirical dead fuel moisture prediction models are developed. McArthur’s grassland fuel moisture model gave equally good predictions as a linear regression model using humidity and dew-point temperature. The regression model was preferred as a prediction model as it is inherently more robust. A prediction model based on hazard sticks was found to have strong seasonal effects which need further investigation before hazard sticks can be used operationally.

scholarly journals A Qualitative Study on the US Forest Service’s Risk Management Assistance Efforts to Improve Wildfire Decision-Making

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 344
Author(s):  
Courtney A. Schultz ◽  
Lauren F. Miller ◽  
Sarah Michelle Greiner ◽  
Chad Kooistra
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Decision Support ◽  
Qualitative Study ◽  
Fire Management ◽  
Perceived Value ◽  
Forest Service ◽  
The Us ◽  
Decision Biases ◽  
Line Officers

To support improved wildfire incident decision-making, in 2017 the US Forest Service (Forest Service) implemented risk-informed tools and processes, together known as Risk Management Assistance (RMA). The Forest Service is developing tools such as RMA to improve wildfire decision-making and implements these tools in complex organizational environments. We assessed the perceived value of RMA and factors that affected its use to inform the literature on decision support for fire management. We sought to answer two questions: (1) What was the perceived value of RMA for line officers who received it?; and (2) What factors affected how RMA was received and used during wildland fire events? We conducted a qualitative study involving semi-structured interviews with decision-makers to understand the contextualized and interrelated factors that affect wildfire decision-making and the uptake of a decision-support intervention such as RMA. We used a thematic coding process to analyze our data according to our questions. RMA increased line officers’ ability to communicate the rationale underlying their decisions more clearly and transparently to their colleagues and partners. Our interviewees generally said that RMA data analytics were valuable but did not lead to changes in their decisions. Line officer personality, pre-season exposure to RMA, local political dynamics and conditions, and decision biases affected the use of RMA. Our findings reveal the complexities of embracing risk management, not only in the context of US federal fire management, but also in other similar emergency management contexts. Attention will need to be paid to existing decision biases, integration of risk management approaches in the interagency context, and the importance of knowledge brokers to connect across internal organizational groups. Our findings contribute to the literature on managing change in public organizations, specifically in emergency decision-making contexts such as fire management.

Lecanactis (Roccellaceae) in Tasmania, with the description of a new saxicolous species and a revised key for the genus in Australia

2021 ◽  
Vol 53 (1) ◽  
pp. 95-101
Author(s):  
Gintaras Kantvilas
Keyword(s):  
New Zealand ◽  
New South ◽  
First Record ◽  
New Taxon ◽  
European Species ◽  
Australian Species ◽  
South Wales ◽  
Distribution And Ecology ◽  
Tasmanian Endemic ◽  
First Time

AbstractThe lichen genus Lecanactis Körb. in Tasmania comprises six species: L. abietina (Ach.) Körb., which is widespread and pan-temperate; L. latispora Egea & Torrente and L. neozelandica Egea & Torrente, both shared with New Zealand and with the former recorded here from the Auckland Islands for the first time; L. mollis (Stirt.) Frisch & Ertz, shared with Victoria and New Zealand; L. aff. dilleniana (Ach.) Körb., a European species recorded provisionally for Tasmania on the basis of several sterile collections; L. scopulicola Kantvilas, which is described here as new to science and apparently a Tasmanian endemic. This new taxon occurs in rocky underhangs and is characterized by a thick, leprose thallus containing schizopeltic acid, and 3-septate ascospores, 19–30 × 4.5–6 μm. Short descriptions and a discussion of distribution and ecology are given for all species. A key for all 11 Australian species of the genus is provided, including L. subfarinosa (C. Knight) Hellb. and L. tibelliana Egea & Torrente, which are recorded for Australia for the first time, and L. platygraphoides (Müll.Arg.) Zahlbr., a first record for New South Wales. Lecanactis spermatospora Egea & Torrente and L. sulphurea Egea & Torrente are also included.

scholarly journals Using the Landsat Burned Area Products to Derive Fire History Relevant for Fire Management and Conservation in the State of Florida, Southeastern USA

Fire ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 26
Author(s):  
Casey Teske ◽  
Melanie K. Vanderhoof ◽  
Todd J. Hawbaker ◽  
Joe Noble ◽  
John Kevin Hiers
Keyword(s):  
Prescribed Fire ◽  
Spatial Data ◽  
Fire History ◽  
Fire Management ◽  
Fire Behavior ◽  
Fire Risk ◽  
Behavior Modeling ◽  
Burned Area ◽  
Burned Areas ◽  
Burn Probability

Development of comprehensive spatially explicit fire occurrence data remains one of the most critical needs for fire managers globally, and especially for conservation across the southeastern United States. Not only are many endangered species and ecosystems in that region reliant on frequent fire, but fire risk analysis, prescribed fire planning, and fire behavior modeling are sensitive to fire history due to the long growing season and high vegetation productivity. Spatial data that map burned areas over time provide critical information for evaluating management successes. However, existing fire data have undocumented shortcomings that limit their use when detailing the effectiveness of fire management at state and regional scales. Here, we assessed information in existing fire datasets for Florida and the Landsat Burned Area products based on input from the fire management community. We considered the potential of different datasets to track the spatial extents of fires and derive fire history metrics (e.g., time since last burn, fire frequency, and seasonality). We found that burned areas generated by applying a 90% threshold to the Landsat burn probability product matched patterns recorded and observed by fire managers at three pilot areas. We then created fire history metrics for the entire state from the modified Landsat Burned Area product. Finally, to show their potential application for conservation management, we compared fire history metrics across ownerships for natural pinelands, where prescribed fire is frequently applied. Implications of this effort include increased awareness around conservation and fire management planning efforts and an extension of derivative products regionally or globally.

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