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  • Collection Climate Change Resilience
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Plant Life : Common plants at Samoa Trust Estate Corporation plantation, Mulifanua, Upolu
Climate Change Resilience
Available Online

Government of Samoa

2017
Samoa is home to abundant plant life including indigenous species and some foreign introduced plant species. A majority of the foreign plants were introduced to Samoa in the pre-independence era through arrival of the early missionaries, Germans and Japanese, for various purposes from medicinal use to construction. These plants can be found across all the four islands; Upolu, Savai’i, Manono and Apolima. As part of the EU-GIZ Adapting to Climate Change and Sustainable Energy (ACSE) programme, a component of the Energy Bill and Sustainable Bioenergy, Samoa project focuses on biomass resource assessments at the Samoa Trust Estates Corporation (STEC) Plantation at Mulifanua, Upolu. Through fieldwork for biomass resource assessments at the non-leased land areas within the STEC Mulifanua plantation, eight common plants were identified and further scientific analysis on each was conducted by the Scientific Research Organisation of Samoa (SROS). SROS laboratory tests took place over a period of 14 days using the Quality Management System implemented by SROS and which also meets the requirements of the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) standards, ISO/IEC 17025 (2005). Thus, this publication provides a brief description of these plants as well as some data on moisture content and energy content under different conditions.
A database for traditional knowledge of weather and climate in the Pacific
Climate Change Resilience
Available Online

Chambers, Lynda E.

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Dossis, Tom

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Hiriasia, David H.

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Malsale, Philip

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Martin, David J.

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Mitiepo, Rossy

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Plotz, Roan D.

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Tahera, Khadiza

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Tofaeono, Tile I.

2017
Growinginterestintraditionalknowledge(TK),particularlyinrelationtothepredictionofweatherorclimate extremes, raises issues concerning the appropriate storage and management of the information collected. The Traditional Knowledge Database (TK Database) for the storage and use of TK associated with weather and climate prediction in the Paci c was designed with the following principles in mind: (1) preservation of the knowledge, maintaining cultural context wherever possible; (2) respect for intellectual property and cultural sensitivities around data sharing and use; (3) appropriate system design, accounting for ongoing costs of system maintenance and often intermittent Internet access; and (4) moving beyond data preservation to ensure continued use and growth of the TK. The TK Database was successfully deployed to four countries in the south Paci c and is regularly used by their national meteorological services, and partner organizations, both to preserve TK related to weather and climate and as a tool to assist in monitoring the TK indicators. As the rst database of its kind, the TK Database lls a critical gap in the appropriate storage and application of TK and provides an important foundation for future developments.
The Best of Both Worlds: A decision-making framework for combining traditional and contemporary forecast systems
Climate Change Resilience
Available Online

Chambers, Lynda D.

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Finn, Charlotte K.

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Plotz, Roan D.

2017
In most countries, national meteorological services either generate or have access to seasonal climate forecasts.However,inanumberofregions,theuptakeoftheseforecastsbylocalcommunitiescanbelimited, with the locals instead relying on traditional knowledgeto make their climate forecasts.Both approachesto seasonal climate forecasting have bene ts, and the incorporation of traditional forecast methods into contemporaryforecastsystemscanleadtoforecaststhatarelocallyrelevantandbettertrustedbytheusers.This in turn could signi cantly improve the communication and application of climate information, especially to remote communities. A number of different methodologies have been proposed for combining these forecasts. Through considering the bene ts and limitations of each approach, practical recommendations are providedonselectingamethod,intheformofadecisionframework,thattakesintoconsiderationbothuser and provider needs. The framework comprises four main decision points: 1) consideration of the level of involvement of traditional-knowledge experts or the community that is required, 2) existing levels of traditional knowledge of climate forecasting and its level of cultural sensitivity, 3) the availability of long-term data—both traditional-knowledge and contemporary-forecast components, and 4) the level of resourcing available.Noonemethodissuitableforeveryoneandeverysituation;however,thedecisionframeworkhelps to select the most appropriate method for a given situation.