Search

Environmental data require fit-for-purpose data management systems and related spatial applications to be used effectively for management. Geographic Information Systems (GIS) have become a key tool to analyse and visualise spatial data with their increasing volume and variety. Well-designed data centres that combine a data management system with GIS, reduce costs and improve efficiency for spatial planning processes. Small or remote territories and islands such as the South Atlantic UK Overseas Territories (SAUKOT), with limited financial resources and capacity, face many challenges to develop such centres. In 2013 an island-based Information Management System (IMS)-GIS Data Centre was established in the SAUKOT. Until then, governments did not have the ability to use spatial planning effectively to manage their environments. The IMS-GIS Data Centre has been operating as: 1) repository of high-quality reference datasets to support decision making, 2) interactive data visualisation to share maps and information with stakeholders and 3) data portals to assist data discovery and sharing. This paper describes i) how the SAUKOT have built their own IMS-GIS Data Centres ii), how these Data Centres have provided effective and manageable solutions to support terrestrial and marine spatial planning processes and iii) the challenges the Data Centres are still facing. Thanks to relatively simple data management concepts and the use of open-source programs, the IMS-GIS Data Centre is transferable to other contexts sharing similar challenges to those faced by the SAUKOT Os dados ambientais exigem uma adequação dos sistemas de gestão de dados e respetivas aplicações geográficas para que sejam utilizados eficazmente na gestão. Os Sistemas de Informação Geográfica (SIG) tornaram-se uma ferramenta essencial para analisar e visualizar dados espaciais com seu volume e variedade crescentes. Os Data centers bem projetados, que combinam um sistema de gestão de dados com SIG, reduzem custos e melhoram a eficiência dos processos de planeamento espacial. Os territórios e ilhas pequenas ou remotas, como os Territórios Ultramarinos do Atlântico Sul do Reino Unido (SAUKOT), com recursos e capacidade financeira limitados, enfrentam muitos desafios para desenvolver esses centros. Em 2013, um centro de dados do Sistema de Gestão de Informações em Ilhas (IMS) foi estabelecido no SAUKOT. Até então, os governos não tinham a capacidade de usar o planeamento espacial efetivamente para gerir os seus ambientes. O IMS-GIS Data Center opera como: 1) repositório de conjuntos de dados de referência de alta qualidade para apoiar a tomada de decisão, 2) visualização interativa de dados para compartilhar mapas e informações com as partes interessadas e 3) portais de dados para auxiliar na descoberta e compartilhamento de dados. Este artigo descreve i) como os SAUKOT construíram os seus próprios Data Centers IMS-GIS; ii) como esses Data Centers forneceram soluções eficazes e geríveis para apoiar os processos de planeamento espacial terrestre e marinho; e iii) os desafios que os Data Centers ainda enfrentam. Graças a conceitos de gestão de dados relativamente simples e o uso de programas de código aberto, o IMS-GIS Data Center é transferível para outros contextos que compartilham desafios semelhantes aos enfrentados pelo SAUKOT. Fundação para a Ciência e Tecnologia - FCT info:eu-repo/semantics/publishedVersion

This study was funded by the Department for Environment, Food and Rural Affairs UK as part of the Darwin Plus project DPLUS027 (Marine Spatial Planning for the Falkland Islands). JFM received financial support during this study from the German Research Foundation (DFG SPP 1158, MA2574/6–1). JPG received financial support during this study from FCT - Portugal through the strategic project UID/AMB/ 50017/2013 and from FEDER funds granted to CESAM, within the PT2020 Partnership Agreement and Compete 2020. Marine Spatial Planning (MSP) is becoming a key management approach throughout the world. The process includes the mapping of how humans and wildlife use the marine environment to inform the development of management measures. An integrated multi-species approach to identifying key areas is important for MSP because it allows managers a global representation of an area, enabling them to see where management can have the most impact for biodiversity protection. However, multi-species analysis remains challenging. This paper presents a methodological framework for mapping key areas for marine megafauna (seabirds, pinnipeds, cetaceans) by incorporating different data types across multiple species. The framework includes analyses of tracking data and observation survey data, applying analytical steps according to the type of data available during each year quarter for each species. It produces core-use area layers at the species level, then combines these layers to create megafauna core-use area layers. The framework was applied in the Falkland Islands. The study gathered over 750,000 tracking and at-sea observation locations covering an equivalent of 5495 data days between 1998 and 2015 for 36 species. The framework provides a step-by-step implementation protocol, replicable across geographic scales and transferable to multiple taxa. R scripts are provided. Common repositories, such as the Birdlife International Tracking Database, are invaluable tools, providing a secure platform for storing and accessing spatial data to apply the methodological framework. This provides managers with data necessary to enhance MSP efforts and marine conservation worldwide. Postprint

As Marine Spatial Planning (MSP) is taking off world-wide as a holistic approach to marine management, there has been a growing need for the inclusion of socio-economic factors in this process. Yet, producing spatial data for cultural values, in particular, remain a challenge because these values are abstract and difficult to extract and quantify. Here, we demonstrate a simple repeatable manual technique for mapping cultural coastal values using in-person interviews and Public Participation GIS (PPGIS) techniques. With 47 participants in the Falkland Islands labelling 745areas of cultural coastal value, this technique gave rise to the identification of cultural coastal value hotspots across the islands in four categories: Natural Beauty, Recreation, Sense of Place and Cultural History. The locations of values were not affected by their distance to a settlement, nor were participants particularly likely to select areas close to their home. The resulting maps of coastal cultural values have been incorporated in the MSP framework and webGIS for the Falkland Islands, allowing for the integration of these social factors in the decision making processes.

Summary 1.Species distribution models (SDMs) have been used to inform scientists and conservationists about the status and change of occurrence patterns in threatened species. Many mobile species use multiple functionally distinct habitats, and cannot occupy one habitat type without the other being within a reachable distance. For such species, classical applications of SDMs might lead to erroneous representations of habitat suitability, as the complex relationships between predictors are lost when merging occurrence information across multiple habitats. To better account for the spatial arrangement of complementary—yet mandatory—habitat types, it is important to implement modeling strategies that partition occurrence information according to habitat use in a spatial context. Here, we address this issue by introducing a multi-state SDM framework. 2.The multi-state SDM framework stratifies occurrences according to the temporal or behavioral use of distinct habitat types, referred to as “states.” Multiple SDMs are then run for each state and statistical thresholds of presence are used to combine these separate predictions. To identify suitable sites that account for distance between habitats, two optional modules are proposed where the thresholded output is aggregated and filtered by minimum area size, or through moving windows across maximum reachable distances. 3.We illustrate the full use of this framework by modeling the dynamic terrestrial breeding habitat preferences of the New Zealand sea lion (NZSL; Phocarctos hookeri), using Maxent and trialing both modules to identify suitable sites for possible recolonization. 4.The Maxent predictions showed excellent performance, and the multi-state SDM framework highlighted 36 to 77 potential suitable breeding sites in the study area. 5.This framework can be applied to inform management when defining habitat suitability for species with complex changes in habitat use. It accounts for temporal and behavioral changes in distribution, maintains the individuality of each partitioned SDM, and considers distance between distinct habitat types. It also yields one final, easy-to-understand output for stakeholders and managers. This article is protected by copyright. All rights reserved.

Baleen whale populations have increased around the world after the end of commercial whaling in the 1980s. Anecdotes from local inhabitants of the Falkland Islands tell of an increase in whale sightings after an almost complete absence. However, no long-term monitoring exists to assess such recovery. With increasing maritime activities around the Islands, local managers need to understand the status and distribution of baleen whales to avoid impeding the potential recovery process. In the complete absence of scientific data, harvesting local ecological knowledge (LEK) from residents could provide means to assess whether whale numbers are increasing. We collected historical knowledge and mapped historical observations through structured interviews with 58 inhabitants and filtered observations for the highest reliability. We also collated existing historical catch and sighting data to compare species composition in inshore and offshore waters. A total of 3842 observations were compiled from the 1940s to 2015. This collation of information provided first-time evidence on the return of the whales in the Falkland Islands' waters. There was a clear increase in numbers of whales sighted, from no observations in the 1970s to 350 observations between 2010 and 2015 for similar effort, mostly of endangered sei whales (Balaenoptera borealis) and fin whales (Balaenoptera physalus). We mapped contemporary whale sighting hotspots to inform current marine spatial planning efforts. The use of LEK is highlighted here as a useful way to gain a better understanding of changes in the status of threatened species when no scientific monitoring has been conducted.

The New Zealand sea lion (Phocarctos hookeri) is a threatened endemic species, with only three breeding colonies in the sub-Antarctic islands. Since 1993, there has been evidence for recolonisation of mainland New Zealand. Yet the coast that the sea lion has returned to only has fragmented and unevenly distributed potential habitats due to coastal urbanisation and development. Therefore, the need to identify and protect potential breeding habitats for recolonisation is a priority for management. A GIS-based multi-criteria analysis was used to identify potential suitable habitats for a 1600 km length of the NZ South Island coast based on distance to anthropogenic disturbance (urban areas, roads), distance to desirable environmental features (beaches, estuaries) and presence of suitable habitat/land access. From this model, we identified preliminary suitable habitat for breeding sites on the Otago Peninsula (east coast) and Catlins Coast (south). We independently detected some of the current dominant areas used by recolonising sea lions as well as identifying some promising new sites. We discuss the limitation of the results of this case study and the need for further data to be added to the model in the face of limited data availability. Overcoming this data limitation will meet an increasing need for a New Zealand-wide study for determining potential habitat for NZ sea lions. The results of such a study would identify areas to allow real-world management (protection or restoration) of the limited potential breeding sites for New Zealand sea lions. This new method could also be used for other recolonising species and encourage management of areas most likely to be recolonized by them.

Plastic pollution is becoming an increasing issue for wildlife throughout the world. Even remote areas with relatively little human activity are affected. The Falkland Islands are a South Atlantic archipelago with a small human population (

Pursuing development and conservation goals often requires thinking and planning across terrestrial, freshwater and marine realms because many threats and social–ecological processes transcend realm boundaries. Consequently, effective conservation planning must consider the social and ecological links between realms and follow a cross-realm approach to allocate land/water uses and conservation actions to mitigate cross-realm threats and maintain cross-realm ecological processes. Cross-realm planning requires integrating multiple objectives for conservation and development, and assessing the potential co-benefits and trade-offs between them under alternative development scenarios. Despite progress in cross-realm planning theory, few fully-integrated and applied cross-realm plans exist. The gaps between research and implementation are not unique to cross-realm planning, but are accentuated by the complexity of spatial decision-making entailed. Based on a collaborative process including scientists, resource managers and policy-makers, we developed an operational framework for cross-realm planning based on up-to-date thinking in conservation science, but offering practical guidance to operationalise real-world planning. Our approach has a strong theoretical basis while addressing the visions and needs of decision-makers. We discuss the foundations and limitations of current approaches in cross-realm planning, describe key requirements to undertake this approach, and present a real-world application of our framework.

The efficiency of spatial conservation measures for threatened species depends mostly on the proportion of time that animals spend within the protected areas. We illustrate this with our case study of the population of recolonizing female New Zealand (NZ) sea lions Phocarctos hookeri (n = 13) at Otago Peninsula, South Island, NZ. Human interactions at sea, where sea lions forage, are of concern, and spatial management measures have been proposed. Understanding the level of foraging site fidelity of these animals was consequently essential. We used satellite tracking of individuals across three autumns to assess foraging site fidelity and year-round on-land sighting surveys over 2.5 years as proxy to foraging areas outside autumns. Each individual exhibited a high level of autumnal site fidelity for foraging areas between years (64% overlap between 65% Kernel ranges with a 3-km buffer) while using beaches along a 12-km stretch of coastline during 96 ± 8% (range 79–100%) of their time onshore. As a proxy for foraging areas outside autumns, these animals exhibited a high level of site fidelity to this stretch of coastline throughout the year. Breeding females were sighted there during 86% of months (range = 73–100%) and non-breeding females during 69% of months (range = 58–90%). The site fidelity of these animals indicates that protected areas would be efficient in this case and highlights the importance of studying foraging site fidelity in mobile predators to design efficient conservation measures.

Interactions between fisheries and marine mammals have created costly and unresolved issues throughout the world. This study examines the spatial and resource overlaps between recolonising New Zealand sea lions, Phocarctos hookeri (Grey) (using satellite tracking) and local fisheries (using spatio-temporal catch database) on the Otago coast, New Zealand. Around Otago, spatial and resource overlaps existed year-round and it is predicted that incidental deaths in fishing gear and resource competition may arise as the sea lion population increases. Preventive management methods (e.g. marine protected areas) and monitoring studies (e.g. fish stock assessments) are proposed. The use of precautionary management could ensure sustainable profitable fisheries and successful recolonisation by sea lions around Otago, and it could be used as a case study for other areas with recovering marine mammal populations that interact with fisheries

New Zealand (NZ) sea lions (Phocarctos hookeri) are slowly recolonising the Otago coast, South Island, New Zealand. The increase in their numbers may lead to resource competition with other marine predators and fisheries. We determined the diet of female NZ sea lions at Otago during autumn. In total, 571 scats and 110 regurgitations were collected on Otago Peninsula during 2008 and 2009. Barracouta (Thyrsites atun) and jack mackerel (Trachurus sp.) were the two main prey species and accounted for 26% and 31% of the reconstituted biomass, respectively. This was consistent between two years. Only five other species contributed > 5% of the diet by biomass in either year. Prey species are all found on the narrow continental shelf surrounding Otago Peninsula. The main prey species of Otago NZ sea lions may be of higher energy content than prey in the Auckland Islands (remnant breeding area). Resource overlap with other marine predators and fisheries appears to occur around Otago Peninsula. A marine trophic mod...

Female New Zealand sea lions (Phocarctos hookeri (Gray, 1844)) at the Auckland Islands (remnant populations) are the deepest and longest diving otariids. These remnant populations are found at the margin of the historical range of the species. We hypothesized that diving behaviours of animals in the core of their historical range is less extreme owing to a better marine habitat. All female New Zealand sea lions (n = 13, aged 2-14 years) born on the Otago Peninsula (initial re- colonising population) were equipped with time-depth recorders during April and May 2008, 2009, and 2010. The mean dive depth was 20.2 ± 24.5 m and mean dive duration was 1.8 ± 1.1 min, some of the lowest values reported for otariids. Otago female New Zealand sea lions did not exhibit two distinct diving specialisations as reported at the Auckland Islands. Otago adult females exceeded calculated aerobic dive limits in 7.1% of dives compared with 68.7% at the Auckland Islands. The contrasting differences in diving behaviour between Otago and the Auckland Islands suggest that Otago represents a better marine habitat for New Zealand sea lions, with food easily accessible to animals of all ages. Resume : Les lions de mer de Nouvelle-Zelande (Phocarctos hookeri (Gray, 1844)) femelles des iles Auckland (populations vestigiales) sont les otariides qui font les plongees les plus profondes et les plus longues. Ces populations vestigiales se re- trouvent a la marge de l'aire de repartition historique de l'espece. Nous avancons l'hypothese selon laquelle le comporte- ment de plongee des animaux au milieu de leur aire de repartition historique est moins extreme parce que l'habitat marin y est de meilleure qualite. Nous avons muni toutes les femelles de lions de mer de Nouvelle-Zelande (n = 13, âgees de 2 a 14 ans) nees sur la peninsule d'Otago (population initiale de recolonisation) d'enregistreurs de profondeur en fonction du temps en avril et mai de 2008, 2009 et 2010. La profondeur moyenne de plongee etait de 20,2 ± 24,5 m et la duree moyenne des plongees 1,8 ± 1,1 min, parmi les valeurs les plus faibles rapportees chez les otariides. Les lions de mer de Nouvelle-Zelande femelles d'Otago ne possedent pas deux specialisations de plongee distinctes comme on le signale aux iles Auckland. Les femelles adultes d'Otago depassent les limites de la plongee aerobie dans 7,1 % des cas par comparaison a 68,7 % des cas aux iles Auckland. Les differences contrastees dans les comportements de plongee entre Otago et les iles Auckland laissent croire qu'Otago represente un meilleur habitat marin pour les lions de mer de Nouvelle-Zelande, avec de la nourriture facilement disponible aux animaux de tous âges. (Traduit par la Redaction)

Terrestrial habitat is important for breeding in most pinnipeds. On land, most species remain near the shore, but New Zealand (NZ) sea lions, Phocarctos hookeri, oftenrestinlandupto1.5kmfromthesea.OnlythreebreedingareasofNZsealions exist today after the species was extirpated from its historical range (NZ mainland). The study was conducted at the Sandy Bay breeding colony, Auckland Islands, between December 2002 and March 2003. We used daily Global Positioning System locations of breeding females with pups and mapping in a Geographic

The New Zealand sea lion Phocarctos hookeri historically bred on the New Zealand mainland (South and North Islands). Subsistence hunting and later commercial sealing reduced its distribution to 3 breeding areas at the spatial edges of its historical distribution range, in the Auck- land Islands (AI) and on Campbell Island. Here, we present foraging areas and foraging trips of female New Zealand sea lions from the Otago Peninsula, where a recolonising population has been found in the core of the historical range of the species. We compare the results with data from the AI in order to assess the theory that the spatial margin of a species' distribution represents the lower end of habitat suitability. Female New Zealand sea lions at Otago had significantly smaller foraging ranges than females at the AI (mean 65% Kernel ranges: 47 ± 25 km 2 versus 687 ± 109 km 2 ), made shorter foraging trips (mean 11.8 ± 2.3 h versus 66.2 ± 4.2 h), and spent 40% less time at sea overall. Juvenile females at Otago from age 2 onwards could access foraging grounds used by adult females nursing pups; this is unlikely to be the case at the AI due to the large distances and associated depths of foraging grounds. Our study illustrates the theory that spatial marginality is related to habitat mar- ginality. Existing management measures to mitigate the impact of bycatch in fisheries on declining remnant colonies around the AI were modelled based on populations exploiting optimal habitat. They should now integrate this new information.

Using decoys to attract gregarious animals is a common management practice, but rarely used for pinnipeds. We investigated the behavioural responses of New Zealand (NZ) sea lions, Phocarctos hookeri, at Sandy Bay, Enderby Island, to determine whether decoys can attract female sea lions and so could be useful for the establishment of new colonies. We deployed decoys near existing breeding aggregations for 4 hours at a time. One or a group of three artificial decoys, made of white fabric, attracted up to 54% of females coming ashore, of which 73% came close enough to sniff the decoys. Up to 62% of males coming ashore within 15 m either side of these decoys moved towards them. A single taxidermied female NZ sea lion did not attract females significantly more often than a single fabric one, but was investigated as if alive by males. It appears that female NZ sea lions are attracted to decoys by their colour, at least when located close to an existing group of females. A technique using decoys could b...

Foragers can show adaptive responses to changes within their environment through morphological and behavioural plasticity. We investigated the plasticity in body size, at sea movements and diving behaviour of juvenile female New Zealand (NZ) sea lions (Phocarctos hookeri) in two contrasting environments. The NZ sea lion is one of the rarest pinnipeds in the world. Most of the species is based at the subantarctic Auckland Islands (AI; considered to be marginal foraging habitat), with a recolonizing population on the Otago Peninsula, NZ mainland (considered to be more optimal habitat). We investigated how juvenile NZ sea lions adjust their foraging behaviour in contrasting environments by deploying satellite-linked platform transmitting terminals (PTTs) and time-depth recorders (TDRs) on 2-3 year-old females at AI (2007-2010) and Otago (2009-2010). Juvenile female NZ sea lions exhibited plasticity in body size and behaviour. Otago juveniles were significantly heavier than AI juveniles. Linear mixed effects models showed that study site had the most important effect on foraging behaviour, while mass and age had little influence. AI juveniles spent more time at sea, foraged over larger areas, and dove deeper and longer than Otago juveniles. It is difficult to attribute a specific cause to the observed contrasts in foraging behaviour because these differences may be driven by disparities in habitat/prey characteristics, conspecific density levels or interseasonal variation. Nevertheless, the smaller size and increased foraging effort of AI juveniles, combined with the lower productivity in this region, support the hypothesis that AI are less optimal habitat than Otago. It is more difficult for juveniles to forage in suboptimal habitats given their restricted foraging ability and lower tolerance for food limitation compared to adults. Thus, effective management measures should consider the impacts of low resource environments, along with changes that can alter food availability such as potential resource competition with fisheries.