title: Diversity of Lecidea (Lecideaceae, Ascomycota) species revealed by molecular data and morphological characters

authors: Ruprecht, Ulrike

subjects: chemical races

abstract: The diversity of lichens, especially crustose species, in continental Antarctica is still poorly known. To overcome difficulties with the morphology based species delimitations in these groups, we employed molecular data (nuclear ITS and mitochondrial SSU rDNA sequences) to test species boundaries within the genus Lecidea. Sampling was done along a north–south transect at five different areas in the Ross Sea region (Cape Hallett, Botany Bay to Mount Suess, Taylor Valley, Darwin Area and Mount Kyffin). A total of 153 specimens were collected from 13 localities. Phylogenetic analyses also include specimens from other regions in Antarctica and non-Antarctic areas. Maximum parsimony, maximum likelihood and Bayesian analyses agreed in placing the samples from continental Antarctica into four major groups. Based on this phylogenetic estimate, we restudied the micromorphology and secondary chemistry of these four clades to evaluate the use of these characters as phylogenetic discriminators. These clades are identified as the following species Lecidea cancriformis, L. andersonii as well as the new species L. polypycnidophora Ruprecht & Türk sp. nov. and another previously unnamed clade of uncertain status, referred to as Lecidea sp. (L. UCR1).

text: Diversity of Lecidea (Lecideaceae, Ascomycota) species revealed by molecular data and morphological characters The diversity of lichens, especially crustose species, in continental Antarctica is still poorly known. To overcome difficulties with the morphology based species delimitations in these groups, we employed molecular data (nuclear ITS and mitochondrial SSU rDNA sequences) to test species boundaries within the genus Lecidea. Sampling was done along a north–south transect at five different areas in the Ross Sea region (Cape Hallett, Botany Bay to Mount Suess, Taylor Valley, Darwin Area and Mount Kyffin). A total of 153 specimens were collected from 13 localities. Phylogenetic analyses also include specimens from other regions in Antarctica and non-Antarctic areas. Maximum parsimony, maximum likelihood and Bayesian analyses agreed in placing the samples from continental Antarctica into four major groups. Based on this phylogenetic estimate, we restudied the micromorphology and secondary chemistry of these four clades to evaluate the use of these characters as phylogenetic discriminators. These clades are identified as the following species Lecidea cancriformis, L. andersonii as well as the new species L. polypycnidophora Ruprecht & Türk sp. nov. and another previously unnamed clade of uncertain status, referred to as Lecidea sp. (L. UCR1).

year: 2010

title: A simple forecasting scheme for predicting low rainfalls in Funafuti, Tuvalu

authors: Vavae, Hilia

subjects: long-range forecasting

abstract: The development of some ability for forecasting low rainfalls would be helpful in Tuvalu as rainwater is the only source of fresh water in the country. The subsurface water is brackish and saline so the entire country depends totally on rainwater for daily domestic supplies, agricultural and farming activities. More importantly, these atolls are often influenced by droughts which consequently make inadequate drinking water an issue. A simple graph-based forecasting scheme is developed and presented in this thesis for forecasting below average mean rainfall in Funafuti over the next n-month period. The approach uses precursor ocean surface temperature data to make predictions of below average rainfall for n = 1, 2   12. The simplicity of the approach makes it a suitable method for the country and thus for the Tuvalu Meteorological Service to use as an operational forecasting tool in the climate forecasting desk. The graphical method was derived from standardised monthly rainfalls from the Funafuti manual raingauge for the period January 1945 to July 2007. The method uses lag-1 and-lag 2 NINO4 sea surface temperatures to define whether prediction conditions hold. The persistence of predictability tends to be maintained when the observed NINO4 ocean surface temperatures fall below 26.0oC. Although the developed method has a high success probability of up to 80 percent, this can only be achieved when conditions are within the predictable field. A considerable number of below average rainfall periods are not within the predictable field and therefore cannot be forecast by this method. However, the graphical approach has particular value in warning when an existing drought is likely to continue.

text: A simple forecasting scheme for predicting low rainfalls in Funafuti, Tuvalu The development of some ability for forecasting low rainfalls would be helpful in Tuvalu as rainwater is the only source of fresh water in the country. The subsurface water is brackish and saline so the entire country depends totally on rainwater for daily domestic supplies, agricultural and farming activities. More importantly, these atolls are often influenced by droughts which consequently make inadequate drinking water an issue. A simple graph-based forecasting scheme is developed and presented in this thesis for forecasting below average mean rainfall in Funafuti over the next n-month period. The approach uses precursor ocean surface temperature data to make predictions of below average rainfall for n = 1, 2   12. The simplicity of the approach makes it a suitable method for the country and thus for the Tuvalu Meteorological Service to use as an operational forecasting tool in the climate forecasting desk. The graphical method was derived from standardised monthly rainfalls from the Funafuti manual raingauge for the period January 1945 to July 2007. The method uses lag-1 and-lag 2 NINO4 sea surface temperatures to define whether prediction conditions hold. The persistence of predictability tends to be maintained when the observed NINO4 ocean surface temperatures fall below 26.0oC. Although the developed method has a high success probability of up to 80 percent, this can only be achieved when conditions are within the predictable field. A considerable number of below average rainfall periods are not within the predictable field and therefore cannot be forecast by this method. However, the graphical approach has particular value in warning when an existing drought is likely to continue.

year: 2008

title: The coastal habitats of Tairawhiti: A review of the scientific, local, and customary knowledge

authors: Ross, Philip M.

abstract: In Aotearoa/New Zealand, regional councils and unitary authorities have a range of responsibilities for decision making in the coastal and marine area (CMA). The New Zealand Coastal Policy Statement (2010), in policy 11, sets out requirements for avoiding significant adverse effects on species, habitats and ecosystems, and section 67 of the Resource Management Act (1991) indicates that regional plans must give effect to the New Zealand Coastal Policy Statement. For regional councils to be able to successfully manage indigenous marine biodiversity (composed of species, habitats and ecosystems) they must have some understanding of the types of biodiversity present within a region’s CMA, and knowledge of the spatial distribution of that biodiversity. For regions such as Auckland and Northland biodiversity in the CMA has been relatively well described. For example, the Department of Conservation has compiled a marine habitat map for the Northland section of the Northeast Marine Bioregion, which covers an area of 1.34 million hectares of coastal habitat from Ahipara to Mangawhai (https://www.nrc.govt.nz/resource-library-summary/research-and-reports/coastal/).
This knowledge makes it much easier for councils to develop coastal plans that provide appropriate protections and management outcomes. In other regions, less information is available which can make it difficult to put in place appropriate environmental management.
The Gisborne Region (Tairawhiti) is a region for which there is comparatively little information available regarding marine biodiversity and the distribution of coastal habitats. The region has been under-represented in coastal research to date, which is largely a consequence of its remoteness to institutions conducting research in the CMA (Universities, CRIs and other research providers). Consequently the Gisborne District Council (GDC), the unitary authority responsible for Tairawhiti, does not have readily available and robust information about the marine and coastal environments of the region. This lack of knowledge spans the range of coastal habitats which GDC has the task of managing under the Resource Management Act (1991).
As a first step towards gathering the information required to better manage the Tairawhiti CMA, this report collates and summarises the available scientific, local and customary knowledge on the extent, location and state of marine and estuarine habitats within the Tairawhiti region. In addition to the collation of this information, additional objectives for this report include: identifying gaps in the information base; recording information that might explain how pressures and activities within the region may have altered coastal habitats; providing advice on priorities for additional work required to fill knowledge gaps; and where possible, include mātauranga Māori in accordance with tikanga. With this knowledge, GDC will be in a better position to facilitate the development of a Regional Plan for Tairāwhiti to set the strategic direction for growth, development and resource management over the next 30 years.

text: The coastal habitats of Tairawhiti: A review of the scientific, local, and customary knowledge In Aotearoa/New Zealand, regional councils and unitary authorities have a range of responsibilities for decision making in the coastal and marine area (CMA). The New Zealand Coastal Policy Statement (2010), in policy 11, sets out requirements for avoiding significant adverse effects on species, habitats and ecosystems, and section 67 of the Resource Management Act (1991) indicates that regional plans must give effect to the New Zealand Coastal Policy Statement. For regional councils to be able to successfully manage indigenous marine biodiversity (composed of species, habitats and ecosystems) they must have some understanding of the types of biodiversity present within a region’s CMA, and knowledge of the spatial distribution of that biodiversity. For regions such as Auckland and Northland biodiversity in the CMA has been relatively well described. For example, the Department of Conservation has compiled a marine habitat map for the Northland section of the Northeast Marine Bioregion, which covers an area of 1.34 million hectares of coastal habitat from Ahipara to Mangawhai (https://www.nrc.govt.nz/resource-library-summary/research-and-reports/coastal/).
This knowledge makes it much easier for councils to develop coastal plans that provide appropriate protections and management outcomes. In other regions, less information is available which can make it difficult to put in place appropriate environmental management.
The Gisborne Region (Tairawhiti) is a region for which there is comparatively little information available regarding marine biodiversity and the distribution of coastal habitats. The region has been under-represented in coastal research to date, which is largely a consequence of its remoteness to institutions conducting research in the CMA (Universities, CRIs and other research providers). Consequently the Gisborne District Council (GDC), the unitary authority responsible for Tairawhiti, does not have readily available and robust information about the marine and coastal environments of the region. This lack of knowledge spans the range of coastal habitats which GDC has the task of managing under the Resource Management Act (1991).
As a first step towards gathering the information required to better manage the Tairawhiti CMA, this report collates and summarises the available scientific, local and customary knowledge on the extent, location and state of marine and estuarine habitats within the Tairawhiti region. In addition to the collation of this information, additional objectives for this report include: identifying gaps in the information base; recording information that might explain how pressures and activities within the region may have altered coastal habitats; providing advice on priorities for additional work required to fill knowledge gaps; and where possible, include mātauranga Māori in accordance with tikanga. With this knowledge, GDC will be in a better position to facilitate the development of a Regional Plan for Tairāwhiti to set the strategic direction for growth, development and resource management over the next 30 years.

year: 2021