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The oceanic waters of the Southwest Tropical Pacific occupy a vast region including multiple Pacific Island Countries. The state of these waters is determinant for fisheries and the blue economy. Ocean color remote sensing is the main tool to survey the variability and long-term evolution of these large areas that are important for economic development but are affected by climate change. Unlike vast oligotrophic gyres, tropical waters are characterized by numerous archipelagos and islands, with deep and shallow lagoons subjected to the large impacts of the land. Strikingly large dendritic phytoplankton (Trichodesmium) blooms with high levels of chlorophyll, developing within archipelagos, as well as coastal enrichments from various origins may be observed. Algorithms to detect the presence of Trichodesmium have been developed or adapted, as well as algorithms to estimate the chlorophyll concentration ([Chl-a)]. Adapting existing [Chl-a] algorithms does not always yield high, i.e., sufficient, accuracy. A review of published regional bio-optical algorithms developed taking into account the specific phytoplankton composition and minimizing the adverse impacts of particles and the seabed bottom on [Chl-a] determination is presented, as well the bio-optical database that allowed their development. The interest of such algorithms for a variety of applications and scientific accomplishments is highlighted, with a view to further addressing the main biology and biogeochemistry questions, e.g., to determine the true impact of diazotrophs and assess lagoon [Chl-a] variability with the highest confidence. This work anticipates the use of future coarse and high-spatial-resolution and multi- and hyper-spectral satellite imagery in the Pacific. International audience

AbstractGastronomy emerges as one of the key components of visitors’ holiday experiences and increasingly shapes vacationers’ holiday destination choices. As an integral component of the tourist experience and destinations’ cultural heritage, gastronomy enhances visitors’ local and cultural understanding. Despite the increase in academic studies on gastronomy, there is still a scarcity of research that investigates whether gastronomy determines visitors’ holiday destination choices and the extent to which it does . To bridge this research gap, the current study examines whether gastronomy determines visitors’ holiday destination choice and explores the nexus between gastronomy and holiday destination image by adopting a mixed-methods research approach. We have collected data from 205 respondents, who represent 45 countries from all corners of the globe, using an online survey. Research findings show that for 87% of the respondents, gastronomy is one of the key factors that determine their holiday destination choice. Especially for Asian and African tourists, gastronomy plays a crucial role in determining their holiday destination choice compared to Europeans, Americans, and other tourists. Findings further demonstrate that gastronomy is intertwined with tourist destinations by creating a lasting destination image, complementing visitors’ holidays, and being one of the core destination products. Research findings offer substantial theoretical and practical implications for Destination Management Organisations (DMOs) and catering establishments by highlighting the vitality of gastronomy as a core tourist destinations’ product. The study calls for pertinent tourism stakeholders to work together to develop, market, and manage resilient, competitive, and sustainable gastronomy niche tourism.

Project: Transnational perspectives in biodiversity education and assessment in the SW Pacific Project: Tradition and Technology project of the University of the South Pacific

Aeolesthes sarta or Trirachys sarta is a polyphagous long-horned beetle that has caused severe damage to the Populus alba forests/plantations in its regions of origin. Climate change could accelerate the introduction and spread of invasive pest species, potentially causing ecological damage and economic losses. Furthermore, globalization and increased trade can inadvertently transport pests across borders into regions where they do not already occur. Hence, it is crucial to identify areas where the climate is most suitable for the establishment of A. sarta’s and which areas of the world are suitable for the growth of P. alba under climate change scenarios. This study employed the CLIMEX model to estimate the potential global distribution of A. sarta and its correlation with its dominant host, P. alba, under current climatic conditions and potential future scenarios, namely the A1B and A2 climate change scenarios (CCSs). Under current climatic conditions, the model indicates that the establishment of a climatically suitable habitat for A. sarta extends beyond its current known range. The model estimated that, under the world’s current climatic conditions, 41.06% of the world can provide suitable areas (EI > 0) for the survival of A. sarta. For P. alba, under the current climatic conditions, suitable regions for the growth of P. alba are present in all continents (excluding Antarctica); under the world’s current climatic conditions, 53.52% of the world can provide suitable areas for the growth of P. alba (EI > 0). Climate change will significantly alter the number of suitable habitats for A. sarta development and P. alba growth globally. In future climatic conditions, the number areas capable of supplying suitable habitats (EI > 0) for A. sarta will slightly decrease to 40.14% (under A1B and A2 CCSs), while, for P. alba, the number areas capable of supplying suitable habitats will also marginally decrease to 50.39% (under A1B scenario), and this figure is estimated to drop to 48.41% (under A2 scenario) by the end century (2100). Asia, Europe, North America, South America, and Oceania have a high percentage of highly suitable areas for A. sarta development and P. alba growth under current climatic conditions; however, according to estimates of future climatic conditions, by the end century, only Asia, Europe, North America, and Oceania will have a high percentage of highly suitable areas for A. sarta development and P. alba growth. The range of highly suitable habitats is likely to increase in the northern hemisphere; however, this range is expected to shrink with regards to the southern hemisphere. The range contraction was higher under the A2 climate change scenario due to a higher warming trend than in the A1B scenario. Due to climate change, the range of A. sarta development shifted, as did the P. alba growth range, which, thanks to the suitable environmental conditions for the growth of P. alba, makes all those regions vulnerable to the introduction and development of A. sarta. Strict monitoring, prevention, and control measures at borders, airports, and seaports before the trade of P. alba and other suitable host species wood (logs/billets) are highly recommended to prevent the spread of A. sarta and ensure biodiversity security. It is expected that the A. sarta and P. alba climate models presented here will be useful for management purposes since both can be adapted to guide decisions about imparting resources to regions where the threat of pest invasion remains and away from regions where climate suitability is predicted to decrease in the future.

The best natural laboratories for studying the ecological responses of plants are high-altitude areas like the Himalaya, where many gradients coexist on a relatively small spatial scale. Here, we investigate the effect of soil physico-chemical and eco-physiological properties on the broadleaf evergreen woody shrub Rhododendron anthopogon D.Don along an altitudinal gradient in the Kashmir Himalaya. We collected leaf and soil samples for eco-physiological and soil physico-chemical analysis, respectively, at five different sites along an altitudinal gradient (3,220–3,908 m). Our results demonstrate a significant difference between soil physico-chemical and eco-physiological parameters along the altitudinal gradient. A significant correlation was observed between different studied parameters and altitude. Principal component analysis of studied soil physico-chemical and eco-physiological parameters revealed that all the sites were grouped into four clusters according to altitude, suggesting a more pronounced effect of altitude. Our findings showed that soil infiltration capacity increased with altitude, which would be helpful for the growth and development of R. anthopogon. We also observed significant variations in eco-physiological parameters, demonstrating their critical involvement in adapting R. anthopogon to the harsh environment of the alpine regions of Kashmir Himalaya. Therefore, the present study adds to our understanding that R. anthopogon has sufficient soil physico-chemical and eco-physiological plasticity, which should be favorable for its survival in future climates, offering an adaptive advantage and expanding its range shortly.

Abstract Background When the global COVID-19 pandemic and state of emergency was declared in early 2020, South Pacific Island nations rapidly closed their borders resulting in significant socio-economic upheaval. With the South Pacific region highly vulnerable to external shocks, there was concern amongst Pacific governments and international donors as to the implications of COVID-19 restrictions on the local food system. Methods Horticultural farmers and market vendors (n = 825) were surveyed in Fiji, Tonga, and Samoa, using local enumerators, over a five-month period (July to November 2020), which represented the initial phase of COVID-19 restrictions in the region. Data were disaggregated based on location, farmer and vendor impacts, and postharvest loss. Results Farmers in Fiji (86%) were more likely to experience difficulties in selling their crops during the initial stages of COVID-19 restrictions, compared to farmers on the smaller Pacific Island nations of Tonga (10%) or Samoa (53%). While market vendors in Fiji (73.2%) and Tonga (56.8%) were similarly impacted, few vendors (22%) in Samoa were affected. Farmers and market vendors on the islands of Viti Levu (Fiji) and Upolu (Samoa), specifically those supplying or located in the key urban centres were more likely to experience elevated postharvest loss. Elevated postharvest loss due to COVID-19 was more prevalent amongst municipal market vendors, peri-urban farms and vendors sourcing from larger commercial farms. Road-side vendors and vendors in the rural areas were less likely to incur elevated loss. Conclusions While fresh horticultural food systems in Fiji, Tonga, and Samoa were all adversely effected by COVID-19 restrictions, these impacts were more acute in Fiji. Given value chains associated with main urban centres were more likely to incur elevated postharvest loss, this would imply consumers were avoiding town centres and alternatively sourcing fresh fruit and vegetable from rural road-side vendors. Pacific road-side vendors appear to have provided an important fresh food distribution capacity during local COVID-19 travel restrictions.

Aeolesthes sarta (Solsky 1871) (Coleoptera: Cerambycidae) is a polyphagous longhorned beetle species that primarily damages broadleaved tree species. This pest is distributed in the western and northern regions of Pakistan, where it caused serious damage to Populus spp. plantations. However, the growth and dispersal patterns of insects and pests are changing due to climate change. Modeling the range expansion or contraction of A. sarta development regions in Pakistan was the goal of the current study, assuming climate change might influence the geographical distribution of A. sarta in Pakistan. Under historical and future climatic conditions, A. sarta distribution areas were estimated using the CLIMEX model. Three time periods, 2030 (early century), 2070 (late century), and 2100 (end century), were forecasted for habitat suitability using the two climate change scenarios (CCSs) A1B and A2. Under the historic climatic condition (HCC), A. sarta was distributed in most areas of Pakistan, and its optimum habitat accounted for 71.67% of its total potential distribution. In the early-century period, optimum habitat dropped to 50.60% and 52.22% under A1B and A2 scenarios in the suitable condition. In the late-century period, optimum habitat further reduced to 31.76% and 30.60% under A1B and A2 scenarios. Moreover, at the end-century period, severe range shrinkage was predicted in the optimum habitat (19.99% under both CSSs). The model predicted a shift in the suitable habitat areas for A. sarta to the west and north. Furthermore, most climatically suitable areas under historic conditions became unsuitable during the end-century period. These projected results will assist in identifying the impacts of global warming on the possible distribution of A. sarta, thereby offering vital information for developing early forecasting and pest-prevention techniques to prevent further loss of forest and woodland trees.