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27 pages, 15031 KiB  
Article
Ladybird Beetle Diversity in Natural and Human-Modified Habitats in the San Cristóbal Island, Galapagos, Ecuador
by Emilia Peñaherrera-Romero, Ariel Guerrero-Campoverde, María P. Rueda-Rodríguez, Mateo Dávila-Játiva, Daniel Die-Morejón, Mariela Domínguez-Trujillo, Tomás Guerrero-Molina, Emilio Vélez-Darquea and Diego F. Cisneros-Heredia
Insects 2024, 15(9), 725; https://doi.org/10.3390/insects15090725 - 20 Sep 2024
Viewed by 901
Abstract
This study investigates the species richness and distribution of ladybird beetles (Coccinellidae) across various habitats on San Cristóbal Island in the Galápagos Archipelago, Ecuador. Through extensive field surveys, we catalogued nineteen species, including four previously known species (two endemics, Psyllobora bisigma and Scymnobius [...] Read more.
This study investigates the species richness and distribution of ladybird beetles (Coccinellidae) across various habitats on San Cristóbal Island in the Galápagos Archipelago, Ecuador. Through extensive field surveys, we catalogued nineteen species, including four previously known species (two endemics, Psyllobora bisigma and Scymnobius scalesius, and two natives, Cycloneda sanguinea and Tenuisvalvae bromelicola). We also identified nine possibly native species reported for the first time in the Galapagos islands in this study or correspond to the first voucher specimens for the island. We collected three previously reported non-native species: Cheilomenes sexmaculata, Novius cardinalis, and Paraneda guticollis. Three species belonging to the genera Stethorus, Calloeneis, and Delphastus remain undetermined, pending further taxonomic analyses. Our findings reveal a rich and complex community with notable differences in species abundance and habitat preference. Endemic species were found to be particularly scarce and restricted mainly to crops undergoing forest regeneration and deciduous forests, emphasising their vulnerability and specialised habitat requirements. The native Cycloneda sanguinea emerged as the most prevalent species, exhibiting broad ecological adaptability. Non-native species, like Cheilomenes sexmaculata, were predominantly found in disturbed habitats, with some showing early signs of spreading into more natural environments, raising concerns about their potential impact on local biodiversity. These findings contribute valuable knowledge to understanding Coccinellidae diversity on San Cristóbal Island and highlight the importance of continued monitoring, particularly in the face of ongoing environmental change and the introduction of non-native species. This study underscores the need for targeted conservation efforts to protect the unique and fragile ecosystems of the Galápagos Archipelago. Full article
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Figure 1
<p>Some of the ecosystems surveyed in San Cristóbal Island. (<b>A</b>) Deciduous forest, (<b>B</b>) seasonal evergreen forest, (<b>C</b>) urban, (<b>D</b>) agricultural.</p>
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<p>Map showing the localities explored during our surveys for ladybird beetles in San Cristóbal Island, Galapagos Archipelago, Ecuador. White circles = urban green areas, white triangles = deciduous forest, black circles = silvopasture, black triangles = seasonal evergreen forests mixed with blackberry and supirosa, black square = permanent crops undergoing native forest regeneration.</p>
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<p>Species accumulation rarefaction curve, with the red dot indicating the extent covered by our surveys.</p>
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<p>Species presence across the four surveyed ecosystems in San Cristóbal Island, Galapagos. Coloured circles represent each ecosystem (urban = grey, agricultural = blue, seasonal evergreen forest = green, and deciduous forest = red). Species found in the intersecting areas between the circles correspond to those shared between the ecosystems represented by the circles. Three species found in deciduous forests and agricultural areas are shown within a small red circle intersecting the blue circle. Species represented are as follows: (1) <span class="html-italic">Calloeneis</span> sp., (2) <span class="html-italic">Psyllobora bisigma</span>, (3) <span class="html-italic">Delphastus</span> sp., (4) <span class="html-italic">Scymnobius scalesius</span>, (5) <span class="html-italic">Pentilia bernadette</span>, (6) <span class="html-italic">Stethorus</span> sp., (7) <span class="html-italic">Pentilia chelsea</span>, (8) <span class="html-italic">Zagreus constantini</span>, (9) <span class="html-italic">Novius cardinalis</span>, (10) <span class="html-italic">Cheilomenes sexmaculata</span>, (11) <span class="html-italic">Zagreus cornejoi</span>, (12) <span class="html-italic">Cycloneda sanguinea</span>, (13) <span class="html-italic">Scymnobius ecuadoricus</span>, (14) <span class="html-italic">Hyperaspis esmeraldas</span>, (15) <span class="html-italic">Paraneda guticollis</span>, (16) <span class="html-italic">Hyperaspis festiva</span>, (17) <span class="html-italic">Tenuisvalvae bromelicola</span>, (18) <span class="html-italic">Hyperaspis onerata</span>, (19) <span class="html-italic">Zagreus decempunctatus</span>.</p>
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<p>Habitus of <span class="html-italic">Stethorus</span> sp. (STE), <span class="html-italic">Cycloneda sanguinea</span> (CYCSAN), <span class="html-italic">Cheilomenes sexmaculata</span> (CHESEX), <span class="html-italic">Paraneda guticollis</span> (PARGUT), <span class="html-italic">Psyllobora bisigma</span> (PSYBIS), and <span class="html-italic">Novius cardinalis</span> (NOVCAR).</p>
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<p><span class="html-italic">Cycloneda sanguinea</span> and <span class="html-italic">Cheilomenes sexmaculata</span> predating on <span class="html-italic">Aphis nerii</span>.</p>
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<p>Habitus of <span class="html-italic">Scymnobius ecuadoricus</span> (SCYECU), <span class="html-italic">Scymnobius scalesius</span> (SCYSCA), <span class="html-italic">Calloeneis</span> sp. (CAL), <span class="html-italic">Hyperaspis esmeraldas</span> (HYPESM), <span class="html-italic">H. festiva</span> (HYPFES), and <span class="html-italic">H. onerata</span> (HYPONE).</p>
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<p>Habitus of <span class="html-italic">Tenuisvalvae bromelicola</span> (TENBRO), <span class="html-italic">Pentilia bernadette</span> (PENBER), <span class="html-italic">Pentilia chelsea</span> (PENCHE), <span class="html-italic">Zagreus cornejoi</span> (ZAGCOR), <span class="html-italic">Zagreus decempuctatus</span> (ZAGDEC), and <span class="html-italic">Delphastus</span> sp. (DEL).</p>
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19 pages, 8249 KiB  
Article
Insights into Blue Whale (Balaenoptera musculus L.) Population Movements in the Galapagos Archipelago and Southeast Pacific
by Hector M. Guzman, Rocío M. Estévez and Stefanie Kaiser
Animals 2024, 14(18), 2707; https://doi.org/10.3390/ani14182707 - 18 Sep 2024
Viewed by 1001
Abstract
The Galapagos Marine Reserve is vital for cetaceans, serving as both a stopover and residency site. However, blue whales, occasionally sighted here, exhibit poorly understood migratory behavior within the Galapagos and the broader Eastern Tropical Pacific. This study, the first to satellite tag [...] Read more.
The Galapagos Marine Reserve is vital for cetaceans, serving as both a stopover and residency site. However, blue whales, occasionally sighted here, exhibit poorly understood migratory behavior within the Galapagos and the broader Eastern Tropical Pacific. This study, the first to satellite tag blue whales in the Galapagos (16 tagged between 2021 and 2023), explored their behavior in relation to environmental variables like chlorophyll-a concentration, sea surface temperature (SST), and productivity. Key findings show a strong correlation between foraging behavior, high chlorophyll-a levels, productivity, and lower SSTs, indicating a preference for food-rich areas. Additionally, there is a notable association with geomorphic features like ridges, which potentially enhance food abundance. Most tagged whales stayed near the Galapagos archipelago, with higher concentrations observed around Isabela Island, which is increasingly frequented by tourist vessels, posing heightened ship strike risks. Some whales ventured into Ecuador’s exclusive economic zone, while one migrated southward to Peru. The strong 2023 El Niño–Southern Oscillation event led to SST and primary production changes, likely impacting whale resource availability. Our study provides crucial insights into blue whale habitat utilization, informing adaptive management strategies to mitigate ship strike risks and address altered migration routes due to climate-driven environmental shifts. Full article
(This article belongs to the Section Ecology and Conservation)
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<p>Kernel density of high-, medium-, and low-use areas used by blue whales tagged in the Galapagos Islands.</p>
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<p>Blue whale migration using the state–space model, tagged in 2021, 2022, and 2023. Lower gamma_t values (ranging from orange to purple) highlight regions where the whale is likely engaged in area-restricted search behavior, while higher gamma_t values (shifting from light orange to yellow) indicate areas where whales exhibit directed, rapid movements. Numbers indicate the whale’s identity.</p>
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<p>Migration (blue dots) and foraging (yellow dots) states of blue whales tagged in the Galapagos archipelago inferred by HMM modeling over GEBCO bathymetry [<a href="#B50-animals-14-02707" class="html-bibr">50</a>].</p>
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<p>Long-term probabilities of blue whales at different values of the covariates. Chlorophyll (<b>A</b>), productivity (<b>B</b>), and sea surface temperature (<b>C</b>) in each behavioral state, foraging (orange: state 1) and migrating (blue: state 2), with alpha = 0.9 confidence intervals.</p>
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<p>Environmental conditions during migration and foraging states modeled by a hidden Markov model. Blue whales preferred to forage when chlorophyll and primary productivity levels were higher and when sea surface temperature was lower. Stars indicate a significant difference.</p>
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<p>Difference in quarterly chlorophyll concentration (mg m<sup>−3</sup>) per year (2020, 2021, 2022, and 2023).</p>
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<p>Difference in quarterly primary productivity (mg C m<sup>−2</sup>) per year (2020, 2021, 2022, and 2023).</p>
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<p>Difference in sea surface temperature (°C) per year (2020, 2021, 2022, and 2023).</p>
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<p>Oceanic Niño Index (ONI) from 2020 to 2023.</p>
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16 pages, 1715 KiB  
Article
Small Endemic Birds and Hot Climate: Avian and Environmental Predictors of Avifauna Road Mortality in Santa Cruz Galapagos
by Gustavo Jiménez-Uzcátegui, Heydi Roa-López, Daniela Penafiel, Galo Quezada, Andrea Loyola, Byron Delgado, Nicolas Moity, Olivier Devineau and Franklyn Betancourt
Birds 2024, 5(3), 453-468; https://doi.org/10.3390/birds5030031 - 10 Aug 2024
Viewed by 954
Abstract
In the Galapagos Islands, the main road in Santa Cruz is one of the elements involved in bird road mortality along with vehicles and the impacted species. This study reports the number of roadkilled birds found on the road from the Itabaca Channel [...] Read more.
In the Galapagos Islands, the main road in Santa Cruz is one of the elements involved in bird road mortality along with vehicles and the impacted species. This study reports the number of roadkilled birds found on the road from the Itabaca Channel to Puerto Ayora, and the main factors, whether avian or environmental, involved in bird roadkill mortality. We collected individual carcasses in 2004, 2005, 2006, and 2018 with a prevalence of 278, 252, 265, and 294, respectively, across 21 species. The endemic Yellow Warbler Setophaga petechia aureola was the most affected bird. We used a PRIDIT model to rank the top avian and environmental predictors of road mortality. We found that for the sampled years, bird body size (i.e., 8–35 g) and the endemism status (i.e., endemic/native) were the main predictors of roadkill mortality, along with seasonality (i.e., hot season). Weaker predictors related to the bird (i.e., age and sex) and the environment (ecosystem, road slope, vegetation, or precipitation) are also reported as determinants of roadkill mortality. This study on avian mortality aims to inform conservation strategies to reduce the rate of wildlife avian roadkill on Santa Cruz Island and other islands with similar problems. Full article
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<p>Galapagos Islands and the study area. Santa Cruz is located at the center (−1°37.50′ S and −90°21.00′ W) of the archipelago. The main road (dark black line) from Itabaca Channel (in the north) to Puerto Ayora (in the south) crosses five ecosystems and two settlements (Santa Rosa and Bellavista).</p>
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<p>Distribution of five roadkilled bird species, three more prevalent, and two endangered—EN (with *), found on the road from Itabaca Channel down to Puerto Ayora in 2004, 2005, 2006, and 2018.</p>
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20 pages, 2475 KiB  
Article
Analysis of the Management of Protected Areas in Galapagos: 60 Years after Its Declaration as a National Park
by María Maestro, María Luisa Pérez-Cayeiro, Harry Reyes and Juan Adolfo Chica-Ruiz
Sustainability 2024, 16(15), 6532; https://doi.org/10.3390/su16156532 - 30 Jul 2024
Viewed by 769
Abstract
The Galapagos Islands are one of the most emblematic protected areas on the planet and also one of the most studied. Their main economic activity is tourism, which has grown rapidly in recent years. The increase in tourists is associated with the increase [...] Read more.
The Galapagos Islands are one of the most emblematic protected areas on the planet and also one of the most studied. Their main economic activity is tourism, which has grown rapidly in recent years. The increase in tourists is associated with the increase in population and the introduction of invasive species, which puts conservation at risk. This makes adequate management even more necessary and relevant on an international scale since the economy of Galapagos depends on the good state of conservation of its ecosystems and species. Numerous studies have shown that social factors, rather than physical–natural ones, determine the success or failure of a marine protected area (MPA), so they must be urgently incorporated into all phases of MPA management. In this study, we analyzed the management of the protected areas of Galapagos, including the National Park and the Marine Reserve, with the purpose of highlighting their weaknesses and strengths. The methodology used presents five prescribed scenarios in which priority is given to one or other factors, each of which has an impact on the biophysical and socio-economic systems that are influenced by the MPA. These scenarios were called proactive, interactive, centralized, learning, and formal management. Data were obtained through a comprehensive literature review and primary data collection methods, including in-depth interviews with key stakeholders and DPNG managers, as well as direct observations. Interviewees covered the main relevant sectors in the archipelago (fishing, tourism, and conservation). The results show that the archipelago’s protected areas follow a proactive management model with a continuous feedback loop. This feedback is a key element in any adaptive management process, which also allows practitioners to anticipate future problems. Both public participation and strategic planning are essential. Full article
(This article belongs to the Section Sustainable Management)
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<p>Bottom-up vs. top-down models in Galapagos MPAs.</p>
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<p>Galapagos protected areas. Source: adapted from the Galapagos National Park Directorate—Galapagos Protected Areas Zoning System 2016.</p>
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<p>Assessment of indicators.</p>
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<p>Evaluation of the management of protected areas in Galapagos. A spider diagram was used, with each vertex marked with the mean score obtained for each of the key elements. The numbers 1, 2, and 3 represent the possible values assigned to each element evaluated, where 1 indicates the least optimal situation, 2 indicates moderate or satisfactory performance/management, and 3 indicates ideal or better performance/management. The mean scores represented at each vertex are the result of calculating the mean of the different variables evaluated for each key element.</p>
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12 pages, 845 KiB  
Article
Mercury Levels in the Crab Grapsus grapsus across the Galápagos Archipelago
by George D. Jackson, Christine H. Jackson, Maura Brandao, Adam K. Jackson, Eduardo Espinoza and Monica Soria-Carvajal
Fishes 2024, 9(6), 233; https://doi.org/10.3390/fishes9060233 - 18 Jun 2024
Viewed by 906
Abstract
The levels of mercury (Hg) were examined in the leg muscle of the crab Grapsus grapsus from five sites on four islands within the Galápagos archipelago. Mercury values obtained using a Milestone DMA 80 evo direct mercury analyzer varied both within and among [...] Read more.
The levels of mercury (Hg) were examined in the leg muscle of the crab Grapsus grapsus from five sites on four islands within the Galápagos archipelago. Mercury values obtained using a Milestone DMA 80 evo direct mercury analyzer varied both within and among sites. Total mercury concentrations (mg kg−1 dry weight) ranged from the lowest at a protected location at Isabela Island (0.06 ± 0.02) to the highest at the San Cristóbal urban location (2.04 ± 0.069). Crabs from South Plaza Island also had surprisingly high levels of mercury with a mean of 1.2 ± 0.6. Values from urban sites at Isabela Island and Academy Bay, Santa Cruz, had intermediate values. When converted to wet weight, crabs from both San Cristóbal and South Plaza were within or above the levels (0.3–0.5 mg kg−1 wet weight set by various government agencies) considered potentially harmful to human health if ingested. A lesser number of both oysters and barnacles were also analyzed for mercury at South Plaza and Academy Bay, and while the values were lower compared to the crabs, they followed the same pattern of elevated levels at South Plaza compared to Academy Bay. It is unclear as to whether the mercury comes from natural sources, such as volcanism, or anthropogenic causes. Full article
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Graphical abstract

Graphical abstract
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<p>Sampling sites shown in red for this study within the Galápagos archipelago with the different size bubble plots showing the relative difference in mercury levels for each of the sites (mg kg<sup>−1</sup> dry weight). The triangle indicates the location of the World War II military base.</p>
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<p>Relationship between log10 total mercury (THg) concentrations in dry weight of leg muscle and log10 carapace width for individuals of <span class="html-italic">Grapsus grapsus</span> for each of the sampling sites in the Galápagos Island. Isabela U = Isabela urban site, Isabela P = Isabela protected site.</p>
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<p>Relationship between mean total mercury concentration (THg) (mg kg<sup>−1</sup> dry weight) in the tissue of the barnacle <span class="html-italic">Tetraclita milleporosa</span> from sites at Academy Bay, Santa Cruz Island, and South Plaza Island in the Galápagos archipelago.</p>
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23 pages, 7624 KiB  
Article
Water Quality from Natural Sources for Sustainable Agricultural Development Strategies: Galapagos, Ecuador
by Paúl Carrión-Mero, Fernando Morante-Carballo, Josué Briones-Bitar, María Jaya-Montalvo, Emily Sánchez-Zambrano, Joselyne Solórzano, Jenifer Malavé-Hernández, Francisco Javier Montalván Toala, Jaime Proaño, Ángel Flor-Pineda and Ramón Espinel
Water 2024, 16(11), 1516; https://doi.org/10.3390/w16111516 - 25 May 2024
Viewed by 1497
Abstract
Water is an essential element for agricultural sustainability. In volcanic islands, freshwater sources are limited, challenging the local farming water supply. Rainfall dependence in the Galapagos Islands limits continuous agriculture, and despite using natural water sources, their irrigation quality is little known. This [...] Read more.
Water is an essential element for agricultural sustainability. In volcanic islands, freshwater sources are limited, challenging the local farming water supply. Rainfall dependence in the Galapagos Islands limits continuous agriculture, and despite using natural water sources, their irrigation quality is little known. This study aimed to carry out a control–diagnosis of irrigation water quality of the natural sources of the four agrarian islands of the Galapagos, considering water quality parameters for the proposal of sustainability strategies in the water and agricultural context. The workflow included (i) freshwater supply situation diagnosis, (ii) physicochemical parameters measurement and hydrochemical characterisation, and (iii) irrigation analysis and sustainability strategies configuration. Results indicated that of the 34 sources analysed, 55.88% are suitable for irrigation and are located in San Cristobal and Santa Cruz. The remaining 44.12% showed problems with parameters such as faecal coliforms, salinity, metals, carbonates, BOD5, and COD above the national permitted limits. Six strategies for water and agricultural sustainability are proposed, including periodic water monitoring, academy–government–community projects, community water board creation, water sowing and harvesting systems, effective management of effluent, and agricultural strengthening. The study guides comprehensive hydric management initiatives to benefit agrarian development and food security, aligning with SDGs 2 and 6. Full article
(This article belongs to the Section Water and Climate Change)
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<p>(<b>a</b>) Location of the Galapagos Islands concerning continental Ecuador; (<b>b</b>) Location of the islands of the Galapagos with agricultural activity: San Cristobal, Santa Cruz, Isabela, and Floreana.</p>
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<p>Study methodological scheme.</p>
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<p>Location map of natural water sources inventoried in the Galapagos Islands, indicating the type of source and the parameters above the allowed limit. (<b>a</b>) San Cristobal; (<b>b</b>) Santa Cruz; (<b>c</b>) Isabela; and (<b>d</b>) Floreana. Source codes are detailed in <a href="#app1-water-16-01516" class="html-app">Table S2</a>.</p>
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<p>Stiff diagram of the seventeen water sources analysed, where the tips of the polygons show the predominant cations (<b>left</b>) and anions (<b>right</b>): (<b>a</b>) San Cristobal; (<b>b</b>) Santa Cruz; (<b>c</b>) Isabela; and (<b>d</b>) Floreana.</p>
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<p>Piper diagrams obtained for the samples analysed from the water sources: (<b>a</b>) San Cristobal (Two water types: calcium/magnesium-bicarbonate waters and a mixture of sulphate and/or sodium–calcium–chloride waters); (<b>b</b>) Santa Cruz (Three water types: sodium-chloride waters, calcium/magnesium-bicarbonate waters, and a mixture of calcium/magnesium-bicarbonate waters with sodium-chloride waters); (<b>c</b>) Isabela (One water type: sodium-chloride waters); (<b>d</b>) Floreana (One water type: calcium/magnesium-bicarbonate waters).</p>
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14 pages, 2844 KiB  
Article
Optimal Design of a Hybrid Solar–Battery–Diesel System: A Case Study of Galapagos Islands
by Luis E. Garces-Palacios, Carlos D. Rodríguez-Gallegos, Fernando Vaca-Urbano, Manuel S. Alvarez-Alvarado, Oktoviano Gandhi and César A. Rodríguez-Gallegos
Solar 2024, 4(2), 232-245; https://doi.org/10.3390/solar4020011 - 6 Apr 2024
Viewed by 3811
Abstract
In this study, the sizing problem of hybrid diesel–photovoltaic–battery systems was determined using a particle swarm optimization approach. The goal was to optimize the number of solar panels and batteries that could be installed to reduce the overall cost of an isolated grid [...] Read more.
In this study, the sizing problem of hybrid diesel–photovoltaic–battery systems was determined using a particle swarm optimization approach. The goal was to optimize the number of solar panels and batteries that could be installed to reduce the overall cost of an isolated grid system, originally powered by diesel generators, located on Isabela Island in the Galapagos, Ecuador. In this study, real solar radiation and temperature profiles were used, as well as the load demand and electrical distribution system relative to this island. The results reveal that the total cost for the proposed approach is lower as it reaches the global optimal solution. It also highlights the advantage of a hybrid diesel–photovoltaic–battery (DG-PV-BAT) system compared to conventional systems operated exclusively by diesel generators (DGs) and systems made up of DGs and PV panels; compared to them, a reduction in diesel consumption and total cost (71% and 56%, respectively) is achieved. The DG-PV-BAT system also considerably improves environmental factors and the quality of the power line. This study demonstrates the advantages of hybridizing systems isolated from the network through the proposed approach. Full article
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<p>Isabela Island single-line diagram.</p>
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<p>Time plots for the (<b>a</b>) normalized load demand, (<b>b</b>) TMY solar irradiance, and (<b>c</b>) TMY ambient temperature.</p>
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<p>Optimization of the total cost per iteration for the DG-PV-BAT hybrid system.</p>
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<p>Total cost per analyzed system.</p>
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<p>(<b>a</b>) Sizing and node location, (<b>b</b>)–(<b>d</b>) nodal voltage profile, and (<b>e</b>) DG-only system cost. The plots (<b>f</b>)–(<b>j</b>) refer to the DG-PV system, and the plots (<b>k</b>)–(<b>o</b>) are for the DG-PV-BAT system. The sub-indexes employed in the pie charts are for the acquisition cost (acq), acquisition and installation cost (acq,inst), and the operation and maintenance cost (O&amp;M).</p>
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<p>(<b>a</b>) Sizing and node location, (<b>b</b>)–(<b>d</b>) nodal voltage profile, and (<b>e</b>) DG-only system cost. The plots (<b>f</b>)–(<b>j</b>) refer to the DG-PV system, and the plots (<b>k</b>)–(<b>o</b>) are for the DG-PV-BAT system. The sub-indexes employed in the pie charts are for the acquisition cost (acq), acquisition and installation cost (acq,inst), and the operation and maintenance cost (O&amp;M).</p>
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<p>Accumulated cash flow for the DG-PV-BAT system.</p>
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<p>Overall CO<sub>2</sub> emissions per system.</p>
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12 pages, 1318 KiB  
Article
Assessing Water-Saving Technologies and the Impact of Giant Tortoise Herbivory on the Restoration of Opuntia megasperma var. orientalis on Española Island—Galapagos
by David Cevallos and Patricia Jaramillo Díaz
Water 2024, 16(3), 369; https://doi.org/10.3390/w16030369 - 23 Jan 2024
Viewed by 1654
Abstract
The prickly pear (Opuntia megasperma var. orientalis), a pivotal species for the ecological balance of Española Island in Galapagos, has witnessed a severe decline in its population due to the enduring presence of introduced feral goats over several decades. Additionally, the [...] Read more.
The prickly pear (Opuntia megasperma var. orientalis), a pivotal species for the ecological balance of Española Island in Galapagos, has witnessed a severe decline in its population due to the enduring presence of introduced feral goats over several decades. Additionally, the inherent slow recovery of this species, requiring several years of development, has contributed to its population decline. Several attempts were carried out to restore this species, but they were not successful due to the island’s extreme arid conditions. Subsequently, innovative water-saving technologies were introduced to ensure the survival and growth of the Opuntia species. Two water-saving technologies, Groasis Waterboxx® and Hydrogel, were applied in two distinct treatments, the first involving Waterboxx solely, and the second combining Waterboxx with Hydrogel, alongside a control group. Planting involved two types of cacti: cladodes and seedlings. To safeguard against potential damage from giant tortoises and local birds, protective mesh fencing was installed around the plants. Each monitoring session recorded plant survival and growth, evaluating the impact of water-saving technologies on cactus survival, maximum plant height reached, age at the time of plant death, and growth achieved since planting. Additionally, the study assessed the influence of climate on plant survival and growth. Unfortunately, the employment of protective mesh fences and Waterboxx containers resulted in the unintended loss of specific bird species. Consequently, a decision was taken to remove these protective measures, resulting in a substantial rise in herbivorous activity, and the subsequent mortality of nearly all plants. Our findings underscore the efficacy of water-saving technologies in Opuntia restoration. However, successful application necessitates a better understanding of these technologies within the unique conditions of the island. Future endeavors should focus on refining these techniques to minimize avian mortality while fostering biodiversity and restoring ecological equilibrium. Full article
(This article belongs to the Section Water Use and Scarcity)
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<p>The study site where the specimens were planted is shown by the colored dots. The prickly pear plants were distributed in three main groups: Tunas West (blue), Tunas Center (orange), and Tunas East (yellow). The sites’ positions on Española Island are shown at top right, and the location of Española within the Galapagos archipelago is shown at top left.</p>
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<p>Survival of <span class="html-italic">O. megasperma</span> individuals (2017–2021), with colored lines indicating different planting dates. Batches 1, 2, 4, 5, and 6 were planted cladodes, and batch 3 comprised 18-month-old seedlings. The green background signifies the period until fence removal, while pink indicates the herbivory phase after fence removal.</p>
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<p>The barplots depict the effects of treatments on cladodes and seedlings. Cladodes are on the left and seedlings on the right. Top left: plant height; top right: plant age; bottom: plant growth (height difference). Seedlings received Waterboxx + Hydrogel; one cladode batch had Waterboxx alone to assess its effectiveness. The asterisk (*) indicates the statistical differences between treatments.</p>
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9 pages, 535 KiB  
Communication
Seroconversion in Galapagos Sea Lions (Zalophus wollebaeki) Confirms the Presence of Canine Distemper Virus in Rookeries of San Cristóbal Island
by Julian Ruiz-Saenz, Veronica Barragan, Colón Jaime Grijalva-Rosero, Eduardo A. Diaz and Diego Páez-Rosas
Animals 2023, 13(23), 3657; https://doi.org/10.3390/ani13233657 - 26 Nov 2023
Viewed by 1976
Abstract
Background: The emblematic Galapagos sea lion (GSL—Zalophus wollebaeki) has faced an important population decline over the last four decades. There are multiple environmental and biological factors that might be implied in this decrease. Recently, evidence of various zoonotic infectious diseases that [...] Read more.
Background: The emblematic Galapagos sea lion (GSL—Zalophus wollebaeki) has faced an important population decline over the last four decades. There are multiple environmental and biological factors that might be implied in this decrease. Recently, evidence of various zoonotic infectious diseases that can be potential threats has been reported. Considering that in some islands of the archipelago the risk of transmission of infectious diseases may be promoted by the increasing population of domestic dogs, epidemiological vigilance and search of new pathogens are essential. The canine distemper virus (CDV), one of the viral pathogens that generate the most concern for the agencies responsible for the management and conservation of the Galapagos pinnipeds, was detected in the GSL in 2010. However, there is scarce information about its impact on GSL health and about its epidemiology. Methods: In this study, 110 GSL serum samples were collected during the summer of 2016 and 2017. All samples were exposed to VERO dog SLAM cells expressing the canine SLAM receptor. Results: Our results showed a significative increase (p = 0.04) in the frequency of neutralizing antibodies to CDV in the 2017 (53.1%) samples compared to the 2016 samples (19.6%). Conclusions: Our work confirmed the continuous and increasing circulation of the CDV in the GSL and highlights the importance of monitoring emerging diseases that can be transmitted from domestic to wildlife species. Vigilance of CDV is essential to understand the role of this virus in GSL mortality and to take informed decisions for wildlife conservation. Full article
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<p>CDV-neutralizing titer in <span class="html-italic">Zalophus wollebaeki</span> during 2016–2017.</p>
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17 pages, 35192 KiB  
Article
Seismic and Tsunami Risk Analysis for Installing Resilient Power Systems Based on Isolated Microgrids on Buildings: The Case of Puerto Ayora in Santa Cruz Island, Galapagos
by Ana Gabriela Haro-Baez, Diego Chavez, Cristina Camino and Diego Arcos-Aviles
Sustainability 2023, 15(18), 13769; https://doi.org/10.3390/su151813769 - 15 Sep 2023
Viewed by 1412
Abstract
Due to their geographical condition and worldwide environmental protection policies, the Galapagos Islands must opt for implementing clean energy infrastructure considering natural hazard effects that can directly affect the resilience of community residents. Santa Cruz Island is part of this archipelago, with rich [...] Read more.
Due to their geographical condition and worldwide environmental protection policies, the Galapagos Islands must opt for implementing clean energy infrastructure considering natural hazard effects that can directly affect the resilience of community residents. Santa Cruz Island is part of this archipelago, with rich biodiversity in flora and unique fauna. This study proposes identifying earthquake and tsunami risk assessment components on the island, such as the infrastructure vulnerability of Puerto Ayora, the central city of Santa Cruz Island. The FEMA P-154 and FEMA P-646 methodologies are used to classify buildings for technically installing microgrids based on photovoltaic generation systems. For this purpose, maps and data from state entities are used in combination with catalogs from development and land use planning, Software for Geoprocesses and virtual tours, and cadastral information provided by the Decentralized Autonomous Government (GAD) of Santa Cruz to develop techniques that offer a risk index to identify buildings that could sustain seismic and tsunamic loads. The study exposes alarming results that would prevent the installation of photovoltaic generation systems on the buildings’ roofs. Consequently, a more detailed field study is recommended to contrast the reported analysis to implement mitigation strategies accordingly. Finally, geoprocesseced maps are presented, in addition to general installing recommendations for the photovoltaic system’s infrastructure. Full article
(This article belongs to the Section Sustainable Urban and Rural Development)
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<p>Seismic risk management components [<a href="#B33-sustainability-15-13769" class="html-bibr">33</a>,<a href="#B35-sustainability-15-13769" class="html-bibr">35</a>].</p>
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<p>Hypothetical earthquake 8.4 Mw with epicenter on Manabí’s coast [<a href="#B43-sustainability-15-13769" class="html-bibr">43</a>].</p>
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<p>Elastic seismic design spectrum.</p>
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<p>Elastic seismic spectrum for Santa Cruz Island.</p>
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<p>Puerto Ayora—Santa Cruz: Seismic hazard map according to FEMA P-154 methodology.</p>
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<p>Puerto Ayora—Santa Cruz: Exposure map.</p>
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<p>Puerto Ayora—Santa Cruz: Qualitative seismic vulnerability map.</p>
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<p>Puerto Ayora—Santa Cruz: Quantitative seismic vulnerability index map.</p>
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<p>Seismic risk index map of Puerto Ayora—Santa Cruz.</p>
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<p>Tsunami vulnerability map Puerto Ayora [<a href="#B47-sustainability-15-13769" class="html-bibr">47</a>].</p>
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<p>Seismic and tsunami risk index map Puerto Ayora.</p>
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18 pages, 31253 KiB  
Article
Photovoltaic Power Forecast Using Deep Learning Techniques with Hyperparameters Based on Bayesian Optimization: A Case Study in the Galapagos Islands
by Richard Guanoluisa, Diego Arcos-Aviles, Marco Flores-Calero, Wilmar Martinez and Francesc Guinjoan
Sustainability 2023, 15(16), 12151; https://doi.org/10.3390/su151612151 - 9 Aug 2023
Cited by 7 | Viewed by 2397
Abstract
Hydropower systems are the basis of electricity power generation in Ecuador. However, some isolated areas in the Amazon and Galapagos Islands are not connected to the National Interconnected System. Therefore, isolated generation systems based on renewable energy sources (RES) emerge as a solution [...] Read more.
Hydropower systems are the basis of electricity power generation in Ecuador. However, some isolated areas in the Amazon and Galapagos Islands are not connected to the National Interconnected System. Therefore, isolated generation systems based on renewable energy sources (RES) emerge as a solution to increase electricity coverage in these areas. An extraordinary case occurs in the Galapagos Islands due to their biodiversity in flora and fauna, where the primary energy source comes from fossil fuels despite their significant amount of solar resources. Therefore, RES use, especially photovoltaic (PV) and wind power, is essential to cover the required load demand without negatively affecting the islands’ biodiversity. In this regard, the design and installation planning of PV systems require perfect knowledge of the amount of energy available at a given location, where power forecasting plays a fundamental role. Therefore, this paper presents the design and comparison of different deep learning techniques: long-short-term memory (LSTM), LSTM Projected, Bidirectional LSTM, Gated Recurrent Units, Convolutional Neural Networks, and hybrid models to forecast photovoltaic power generation in the Galapagos Islands of Ecuador. The proposed approach uses an optimized hyperparameter-based Bayesian optimization algorithm to reduce the forecast error and training time. The results demonstrate the accurate performance of all the methods by achieving a low-error short-term prediction, an excellent correlation of over 99%, and minimizing the training time. Full article
(This article belongs to the Topic Solar Forecasting and Smart Photovoltaic Systems)
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<p>Electric energy generation distribution in the Galapagos Islands.</p>
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<p>Annual global horizontal irradiance by 2021 in Galapagos Islands [<a href="#B31-sustainability-15-12151" class="html-bibr">31</a>].</p>
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<p>Long-short-term memory projected network model.</p>
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<p>Bidirectional Long-short-term memory network model.</p>
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<p>Convolutional neural network model.</p>
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<p>Hybrid deep learning network model.</p>
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<p>Forecasting flowchart.</p>
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<p>Case study locations.</p>
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<p>(<b>a</b>) Photovoltaic power of Santa Cruz Island from 2018 to 2020. (<b>b</b>) Correlation of the photovoltaic power between Santa Cruz and San Cristobal islands.</p>
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<p>(<b>a</b>) Hold-out of the data set. (<b>b</b>) Bayesian optimization of Hybrid hyperparameters.</p>
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<p>RMSE of training of DL models (<b>a</b>) LSTM, (<b>b</b>) LSTM Projected, (<b>c</b>) BiLSTM, (<b>d</b>) GRU, (<b>e</b>) CNN, and (<b>f</b>) Hybrid.</p>
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<p>PV Real Power and Forecast Power on Data Set 1 (<b>a</b>) LSTM, (<b>b</b>) LSTM Projected, (<b>c</b>) BiLSTM, (<b>d</b>) GRU, (<b>e</b>) CNN, and (<b>f</b>) Hybrid.</p>
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<p>Scatter graph of actual and forecasted PV power for Data Set 1 (<b>a</b>) LSTM, (<b>b</b>) LSTM Projected, (<b>c</b>) BiLSTM, (<b>d</b>) GRU, (<b>e</b>) CNN, and (<b>f</b>) Hybrid.</p>
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<p>Scatter graph of actual and forecasted PV power for Data Set 2 (<b>a</b>) LSTM, (<b>b</b>) LSTM Projected, (<b>c</b>) BiLSTM, (<b>d</b>) GRU, (<b>e</b>) CNN, and (<b>f</b>) Hybrid.</p>
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<p>RMSE comparison for the studied models.</p>
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<p>Training time for DL models.</p>
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21 pages, 4985 KiB  
Article
The Spatio-Temporal Cloud Frequency Distribution in the Galapagos Archipelago as Seen from MODIS Cloud Mask Data
by Samira Zander, Nazli Turini, Daniela Ballari, Steve Darwin Bayas López, Rolando Celleri, Byron Delgado Maldonado, Johanna Orellana-Alvear, Benjamin Schmidt, Dieter Scherer and Jörg Bendix
Atmosphere 2023, 14(8), 1225; https://doi.org/10.3390/atmos14081225 - 29 Jul 2023
Viewed by 1544
Abstract
Clouds play an important role in the climate system; nonetheless, the relationship between climate change in general and regional cloud occurrence is not yet well understood. This particularly holds for remote areas such as the iconic Galapagos archipelago in Ecuador. As a first [...] Read more.
Clouds play an important role in the climate system; nonetheless, the relationship between climate change in general and regional cloud occurrence is not yet well understood. This particularly holds for remote areas such as the iconic Galapagos archipelago in Ecuador. As a first step towards a better understanding, we analyzed the spatio-temporal patterns of cloud cover over Galapagos. We found that cloud frequency and distribution exhibit large inter- and intra-annual variability due to the changing influence of climatic drivers (trade winds, sea surface temperature, El Niño/La Niña events) and spatial variations due to terrain characteristics and location within the archipelago. The highest cloud frequencies occur in mid-elevations on the slopes exposed to the southerly trade winds (south-east slopes). Towards the highlands ( >900 m a.s.l), cloud frequency decreases, with a sharp leap towards high-level crater areas mainly on Isabela Island that frequently immerse into the trade inversion layer. With respect to the diurnal cycle, we found a lower cloud frequency over the islands in the evening than in the morning. Seasonally, cloud frequency is higher during the hot season (January–May) than in the cool season (June–December). However, spatial differences in cloudiness were more pronounced during the cool season months. We further analyzed two periods beyond average atmospheric forcing. During El Niño 2015, the cloud frequency was higher than usual, and differences between altitudes and aspects were less pronounced. La Niña 2007 led to negative anomalies in cloud frequency over the islands, with intensified differences between altitude and aspect. Full article
(This article belongs to the Special Issue Cloud Remote Sensing: Current Status and Perspective)
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<p>Study area. The names of the islands are written in grey, while white indicates terrain elevations and blue indicates the ocean currents.</p>
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<p>Illustration of the workflow. The upper field describes the steps of the preprocessing; the four lower fields illustrate the steps of evaluating the generated monthly data set to obtain results concerning the spatio-temporal cloud frequency distribution and to analyze changes caused by ENSO. The temporal definition of an extreme event (ENSO-event) is based on the temperature deviation of the El Niño region Niño 1 + 2 in the eastern Pacific.</p>
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<p>Relative cloud frequency averaged over the entire observation period (2000–2021) for (<b>a</b>) the morning overpasses and (<b>b</b>) the evening overpasses. (<b>c</b>) Depicts the difference between morning and evening cloud frequency. Positive values mean that a higher cloud frequency occurred in the morning than in the evening; negative values mean the opposite.</p>
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<p>Relative cloud frequency depending on the terrain elevation, averaged over the entire observation period (2000–2021). The depicted data originate from (<b>a</b>) the whole year, (<b>b</b>) the cool season, and (<b>c</b>) the hot season. The data for the two times (morning and evening) are presented for all subfigures.</p>
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<p>Relative cloud frequency dependent on terrain exposure (aspect) averaged over the entire observation period (2000–2021). The depicted data originate from (<b>a</b>) the whole year, (<b>b</b>) the cool season, and (<b>c</b>) the hot season. The data for the two times (morning and evening) are presented for all subfigures.</p>
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<p>Relative cloud frequency during (<b>a</b>) the morning of hot season, (<b>b</b>) the evening of the hot season, (<b>d</b>) the morning of the cool season and (<b>e</b>) the evening of the cool season. The right column and the bottom row show the differences from the columns and rows, respectively. (<b>c</b>) depicts the deviation between morning and evening of the hot season and (<b>f</b>) displays the deviation between morning and evening of the cool season, whereas (<b>g</b>) shows the deviation of the mornings of the cool and the hot season and (<b>h</b>) the difference between the evenings of the cool and hot season.</p>
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<p>Deviation of the relative cloud frequency during El Niño 2015 (<b>a</b>,<b>b</b>) and La Niña 2007 (<b>c</b>,<b>d</b>) from the average value of the whole comparison time period. The left column displays the differences in the morning, the right column displays those in the evening. Positive values indicate that the cloud frequency was higher during the ENSO event than during the normal comparison time period.</p>
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<p>Relative cloud frequency during ENSO events compared to the general relative cloud frequency of the observation period. (<b>a</b>) shows the comparison between El Niño 2015 (red box plots), which lasted from May 2015 to January 2016, and the averaged cloud frequency of May to January for the whole period (gray box plots). (<b>b</b>) shows the comparison between La Niña 2007 (April 2007 to December 2007) and the relative cloud frequency over the whole time period of the months April to December. Only data from land pixels were analyzed.</p>
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22 pages, 6036 KiB  
Article
Construction of an Orthophoto-Draped 3D Model and Classification of Intertidal Habitats Using UAV Imagery in the Galapagos Archipelago
by Andrée De Cock, Ruth Vandeputte, Stijn Bruneel, Laure De Cock, Xingzhen Liu, Rafael Bermúdez, Nina Vanhaeren, Bart De Wit, Daniel Ochoa, Philippe De Maeyer, Sidharta Gautama and Peter L. M. Goethals
Drones 2023, 7(7), 416; https://doi.org/10.3390/drones7070416 - 23 Jun 2023
Viewed by 1629
Abstract
Worldwide, an increasing number of marine islands suffer from various pressures on the environment, driven by climate change and increasing land demands. The Galapagos Archipelago is one of the most iconic group of islands, yet population growth and tourism have resulted in a [...] Read more.
Worldwide, an increasing number of marine islands suffer from various pressures on the environment, driven by climate change and increasing land demands. The Galapagos Archipelago is one of the most iconic group of islands, yet population growth and tourism have resulted in a rising need for efficient environmental monitoring of its fragile ecosystems, such as the intertidal zone which harbors diverse and unique fauna. The purpose of this study was to investigate the image classification opportunities for these intertidal habitats using Uncrewed Aerial Vehicle (UAV) imagery. The data for this research were collected in Puerto Ayora on Santa Cruz in August 2017, the most urbanized island of the Galapagos. An orthophoto, a digital elevation model (DEM), and an orthophoto-draped 3D model of the intertidal zone were obtained using image registration software. Based on the orthophoto, an initial classification of the intertidal zone was performed using the spectral angle mapper algorithm. A habitat map with four classes (water, sand, rock, and vegetation) was created with an overall classification accuracy of 77%, indicating the suitability of UAV high resolution aerial imagery for the classification of intertidal habitats. The developed method could be applied to map and monitor other coastal regions and islands systems. Full article
(This article belongs to the Section Drones in Ecology)
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<p>Map of the Galapagos Archipelago with indication of Puerto Ayora on Santa Cruz island.</p>
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<p>GCP measurement with Trimble 8 on a target sheet.</p>
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<p>Visualization of the flight routes of all nine flights.</p>
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<p>Visualization of the modelling process in Agisoft Metashape for area of the Charles Darwin Research Station: dense point cloud (<b>A</b>), mesh (<b>B</b>), and texture (<b>C</b>).</p>
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<p>Clipped area of the Charles Darwin Research Station to obtain the intertidal zone: output automated process based on information from DEM (<b>A</b>) and output from manual process guided by information from DEM (<b>B</b>).</p>
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<p>Orthophoto for the full coastline (<b>left</b>) and for the coastline of the Charles Darwin Research Station (<b>right</b>).</p>
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<p>Digital elevation model clipped analogue to the manual guided method used in <a href="#drones-07-00416-f005" class="html-fig">Figure 5</a>B, for the full coastline (<b>left</b>) and for the coastline of the Charles Darwin Research Station (<b>right</b>).</p>
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<p>Intertidal habitat map of the coastline of the Charles Darwin Research Station, classified using the spectral angle mapper classifier.</p>
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<p>Growth of Puerto Ayora: military aerial photographs of 1963 (<b>A</b>) and 1981 (<b>B</b>); satellite image of 2018 (<b>C</b>). Source: Charles Darwin Foundation Library, 2017 (<b>A</b>,<b>B</b>); Google Earth, 2018 (<b>C</b>).</p>
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<p>Hexacopter DJI 550. Source: DJI, 2017, <a href="http://www.myfirstdrone.com" target="_blank">www.myfirstdrone.com</a> (15 May 2023). Tile measurements: 5 cm × 5 cm.</p>
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<p>Ground control point (GCP) coverage along the coastline of Puerto Ayora.</p>
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2 pages, 207 KiB  
Correction
Correction: Culda et al. The Presence of Dirofilaria immitis in Domestic Dogs on San Cristobal Island, Galapagos. Pathogens 2022, 11, 1287
by Carla Andreea Culda, Romane Dionnet, Andra Celia Barbu, Andrada Silvia Cârstolovean, Teodora Dan, Jaime Grijalva, Priscilla Espin, Rommel Lenin Vinueza, Marylin Cruz, Diego Páez-Rosas, Leon Renato and Andrei Daniel Mihalca
Pathogens 2023, 12(7), 856; https://doi.org/10.3390/pathogens12070856 - 21 Jun 2023
Viewed by 667
Abstract
There was an error in the original publication [...] Full article
(This article belongs to the Special Issue Pets, Wildlife and Parasites)
14 pages, 1324 KiB  
Article
Water-Saving Technologies in Galapagos Agriculture: A Step towards Sustainability
by Patricia Jaramillo Díaz, Anna Calle-Loor, Nicolás Velasco and David Cevallos
Horticulturae 2023, 9(6), 683; https://doi.org/10.3390/horticulturae9060683 - 9 Jun 2023
Cited by 3 | Viewed by 1683
Abstract
Water scarcity and salinity pose significant challenges for agriculture in the Galapagos Islands, severely limiting crop yields needed to sustainably meet the growing demands of the human population in the archipelago. To address this issue, environmentally friendly water-saving technologies such as Hydrogel and [...] Read more.
Water scarcity and salinity pose significant challenges for agriculture in the Galapagos Islands, severely limiting crop yields needed to sustainably meet the growing demands of the human population in the archipelago. To address this issue, environmentally friendly water-saving technologies such as Hydrogel and Groasis Growboxx were considered to be potential solutions. This study focused on evaluating the effectiveness of Hydrogel application on five crops: Broccoli (Brassica oleracea), Cucumber (Cucumis melo), Pepper (Capsicum annuum), Tomato (Solanum lycopersicum), and Watermelon (Citrullus lanatus), from 2017 to 2018. The experiment stopped due to the pandemic in 2019–2020. When the study continued in 2021, Growboxx® was introduced as a treatment for Pepper and Tomato. This study revealed that the application of Hydrogel resulted in enhanced yields, with the degree of improvement varying across different crops and cultivation periods. Notably, when comparing Hydrogel and Growboxx treatments, differences of up to 30% in fruit weight were observed. However, it is important to note that these results can vary in different environments. For example, in Tomato cultivation, Growboxx exhibited 10% higher fruit weight in San Cristobal compared to Santa Cruz Island. Our findings provide valuable insights for stakeholders in the Galapagos Islands, offering crop-specific guidance to support informed decisions on adopting the most appropriate technologies for their farms. Full article
(This article belongs to the Section Vegetable Production Systems)
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<p>Location of the study sites and the vegetation zones on each island. The agricultural area of each island is displayed. The table provides an overview of the names of the study sites, represented as farms, along with the crops grown at each site (B = Broccoli, C = Cucumber, P = Pepper, T = Tomato, and W = Watermelon).</p>
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<p>Set-up process of the Growboxx technology in the field. (1) Digging a hole and humidifying it with water. (2) Placing the box in the hole and filling it with approximately 15 L of water and soil. (3) Covering the box with the lid and adding soil to the small holes for planting seedlings. Tomato seedlings can be observed as a result of this process.</p>
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<p>Positive effects of Hydrogel on productivity traits in Pepper and Tomato. All results show statistically significant differences (Tukey HSD, <span class="html-italic">p</span> ≤ 0.005). Results presented for the 2017–2018 season.</p>
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