Direct Exploitation Research Articles

Metallurgical technology and resources mobility in the El Argar culture: An archaeometallurgical study at Laderas del Castillo (Callosa de Segura, Alicante)

Metallurgy has been defined as a pivotal activity in understanding of the development of El Argar society. Nonetheless, comprehensive studies of extractive metallurgical processes based on archaeometallurgical analyses remain lacking. This article examines the production remains found at the El Argar site of Laderas del Castillo, documented from 2150 to 1950 cal BC, including samples of slag, crucibles, copper prills and artefacts. Laderas del Castillo emerges as a key site for understanding the technology and organization of metallurgical production in the El Argar world. There are few sites with archaeometric analysis of metallurgical remains, and the present case allows for an almost complete view of the entire metallurgical chaîne opératoire in this period. Microstructural analyses of smelting remains by SEM-EDS reveal a technological tradition that mirrors the previous Copper Age one and the direct exploitation of complex arsenical copper ores with occasional copper sulphides. Despite the existence of closer mineralizations, lead isotope analyses show the exploitation of various copper resources and sources far from the settlement (Linares, the Interior of the Baetic Cordilleras and Almagrera, about 300, 200 and 140 km respectively). These active exchange networks in Laderas del Castillo reflect the same pattern found in the rest of the El Argar territory, which is based on the intensive exploitation of mineralizations in the interior of the Baetics and the Southeast of the peninsula. Some of these sources have also been observed in Copper Age metallurgy, suggesting that the mobility and exchange networks operating in the southeast during the El Argar period were rooted in earlier archaeological phases, indicating a wide and complex exchange network in the region.

Maximising Hackathon Impact: A Comprehensive Framework for Sustaining Post-Event Outcome

Since 2020, numerous guides and tools have been available for designing, planning, and running hackathons in fields such as software engineering, ICT, and healthcare. However, a substantial gap is observed in the post-event phase of hackathons' life cycle, directly affecting the sustainability of results. This bears significant implications for hackathon events per se, as well as for ecosystem stakeholders, in medium-term and long-term perspectives. This paper addresses the issue of low valorisation of hackathon-derived solutions and assists their direct exploitation. We aim to provide a framework for hackathon organisers, managers, policymakers, and intermediary bodies maximising impact of such events. To achieve this, we investigate the relationship between event-level success and ecosystem-level impact. We draw upon the practices and data from the ENTREPRENEDU project hackathons, a Horizon Europe-funded program coordinated by the E. Amaldi Foundation. This series of hackathons, held in three different countries, helped identify key aspects for further investigation and served as the groundwork to define/frame our research question. We conducted literature review, examining papers and reports to explore how hackathon-derived knowledge is valorised within entrepreneurial and innovation ecosystems. Our research aimed to identify how the already known success factors of a well-designed event contribute to the sustainability of outcomes and assess their relationship. We link hackathon success indicators juxtaposed to relevant factors. While acknowledging the complexity and multifactorial nature of innovation process and knowledge diffusion, we believe that our study advances the potential for hackathons’ greater impact by providing a cohesive framework.

Family Mobulidae of Pakistan: Taxonomic assessment for their conservation and management

Species belonging to the family Mobulidae of Pakistan are described based on external morphology. In Pakistan, six species of Mobula birostris (Walbaum, 1972), Mobula eregoodoo (Cantor, 1849), Mobula mobular (Bonnaterre, 1788), Mobula kuhlii (Müller & Henle, 1841), Mobula tarapacana (Philippi, 1892), and Mobula thurstoni (Lloyd, 1908) of the family Mobulidae are found. Family Mobulidae are found in tropical and sub-tropical water around the world. However, their life history and ecological traits make them highly susceptible to overfishing. Like other unmanaged and unreported high-value elasmobranchs, their trade internationally led them to rapid depletion and potential indigenous extinction unless a rapid conservation management response occurs worldwide. Accurate identification at the species level is useful for the conservation, especially when direct exploitation or bycatch in various fisheries needs to be managed for their sustainability. Taxonomic misidentification creates uncertainties that could result in the mismanagement of regional and international threats of extinction. Here, we described the family Mobulidae fisheries of Pakistan based on their external morphology, an identification key is provided, and their distribution and global conservation status is also provided which will support the overall systematic stability of the mobulid rays in Pakistan and surrounding waters.

Shortened food chain length in a fished versus unfished coral reef.

Direct exploitation through fishing is driving dramatic declines of wildlife populations in ocean environments, particularly for predatory and large-bodied taxa. Despite wide recognition of this pattern and well-established consequences of such trophic downgrading on ecosystem function, there have been few empirical studies examining the effects of fishing on whole system trophic architecture. Understanding these kinds of structural impacts is especially important in coral reef ecosystems-often heavily fished and facing multiple stressors. Given the often high dietary flexibility and numerous functional redundancies in diverse ecosystems such as coral reefs, it is important to establish whether web architecture is strongly impacted by fishing pressure or whether it might be resilient, at least to moderate-intensity pressure. To examine this question, we used a combination of bulk and compound-specific stable isotope analyses measured across a range of predatory and low-trophic-level consumers between two coral reef ecosystems that differed with respect to fishing pressure but otherwise remained largely similar. We found that even in a high-diversity system with relatively modest fishing pressure, there were strong reductions in the trophic position (TP) of the three highest TP consumers examined in the fished system but no effects on the TP of lower-level consumers. We saw no evidence that this shortening of the affected food webs was being driven by changes in basal resource consumption, for example, through changes in the spatial location of foraging by consumers. Instead, this likely reflected internal changes in food web architecture, suggesting that even in diverse systems and with relatively modest pressure, human harvest causes significant compressions in food chain length. This observed shortening of these food webs may have many important emergent ecological consequences for the functioning of ecosystems impacted by fishing or hunting. Such important structural shifts may be widespread but unnoticed by traditional surveys. This insight may also be useful for applied ecosystem managers grappling with choices about the relative importance of protection for remote and pristine areas and the value of strict no-take areas to protect not just the raw constituents of systems affected by fishing and hunting but also the health and functionality of whole systems.

Federated Learning via Input-Output Collaborative Distillation

Federated learning (FL) is a machine learning paradigm in which distributed local nodes collaboratively train a central model without sharing individually held private data. Existing FL methods either iteratively share local model parameters or deploy co-distillation. However, the former is highly susceptible to private data leakage, and the latter design relies on the prerequisites of task-relevant real data. Instead, we propose a data-free FL framework based on local-to-central collaborative distillation with direct input and output space exploitation. Our design eliminates any requirement of recursive local parameter exchange or auxiliary task-relevant data to transfer knowledge, thereby giving direct privacy control to local users. In particular, to cope with the inherent data heterogeneity across locals, our technique learns to distill input on which each local model produces consensual yet unique results to represent each expertise. Our proposed FL framework achieves notable privacy-utility trade-offs with extensive experiments on image classification and segmentation tasks under various real-world heterogeneous federated learning settings on both natural and medical images. Code is available at https://github.com/lsl001006/FedIOD.

Vulnerability of terrestrial vertebrate food webs to anthropogenic threats in Europe.

Vertebrate species worldwide are currently facing significant declines in many populations. Although we have gained substantial knowledge about the direct threats that affect individual species, these threats only represent a fraction of the broader vertebrate threat profile, which is also shaped by species interactions. For example, threats faced by prey species can jeopardize the survival of their predators due to food resource scarcity. Yet, indirect threats arising from species interactions have received limited investigation thus far. In this study, we investigate the indirect consequences of anthropogenic threats on biodiversity in the context of European vertebrate food webs. We integrated data on trophic interactions among over 800 terrestrial vertebrates, along with their associated human-induced threats. We quantified and mapped the vulnerability of various components of the food web, including species, interactions, and trophic groups to six major threats: pollution, agricultural intensification, climate change, direct exploitation, urbanization, and invasive alien species and diseases. Direct exploitation and agricultural intensification were two major threats for terrestrial vertebrate food webs: affecting 34% and 31% of species, respectively, they threaten 85% and 69% of interactions in Europe. By integrating network ecology with threat impact assessments, our study contributes to a better understanding of the magnitude of anthropogenic impacts on biodiversity.

Electron-Transferring Metalloenzymes and their Potential Biotechnological Applications.

Modern societies rely heavily on centralized industrial processes to generate a multitude of products ranging from electrical energy to synthetic chemical building blocks to construction materials. To date, these processes have relied extensively on energy produced from fossil fuels, which has led to dramatically increased quantities of greenhouse gases (including carbon dioxide) being released into the atmosphere; the effects of the ensuing change to our climate are easily observed in day-to-day life. Some of the reactions catalyzed by these industrial processes can be catalyzed in nature by metal-containing enzymes (metalloenzymes) that have evolved over the course of up to 3.8 billion years to do so under mild physiological conditions using Earth-abundant metals. While such metalloenzymes could in principle facilitate the implementation of carbon-neutral processes around the globe, either in "bio-inspired" catalyst design or even by direct exploitation, many remaining questions surrounding their mechanisms often preclude both options. Here, our recent efforts in understanding and applying metalloenzymes that catalyze reactions such as dinitrogen reduction to ammonia or proton reduction to molecular hydrogen are discussed. In closing, an opinion on the question: "Can these types of enzymes really be used in new biotechnologies?" is offered.

IMDE-UGAN: Improved Memetic Direction Exploitation Optimized U-Net Generative Adversarial Network for Classification of Diabetic Retinopathy

The most important human organ is the eye which is essential for the processing and absorbing of external visual information. Diabetic retinopathy (DR) is the primary factor contributing to the global increase in blindness. To maintain eye health, people have been paying lots of attention to the problem. However, there are still lots of people who have eye problems all around the world. Thus, we proposed the Improved Memetic Direction Exploitation Optimized U-Net Generative Adversarial Network (IMDE-optimized U-Net GAN) model for DR grading. Also, for Multimodal Optimization Problems (MMOPs), a Niching Competition-based Memetic Direction Exploitation (NC-MDE) method is proposed with adaptive local search operations. Additionally, SPatially-ADaptivE (SPADE)-based conditional GANs are used to segment DR. The U-Net GAN model is used to categorize DR images. In the discriminator design, the standard classification network is modified to create the decoder-encoder network known as U-Net. The complete network error of the U-Net GAN architecture is modeled using the IMDE archives. The various performance metrics are used in the method for testing the proposed including accuracy, specificity, sensitivity, and ROC curve. As a result, the proposed method achieves 98.89% of accuracy, 98.54% for sensitivity, and specificity, it achieves 98.67%.

Anthropogenic Impact of Flora and Fauna

This research paper aims to provide a thorough examination of the anthropogenic impact on flora and fauna, exploring the consequences of human activities on the world's ecosystems. The paper synthesizes current scientific knowledge and research findings to analyze the multifaceted ways in which human actions affect plant and animal life. Key topics include habitat destruction, pollution, climate change, and the direct exploitation of natural resources. The research area's geographical specificity restricts the generalizability of findings. Seasonal data collection could lead to potential gaps in understanding environmental dynamics. The study also acknowledges its limitations in providing in-depth mechanistic explanations of herbal drugs' actions, as well as the absence of advanced scientific and technological approaches in certain analyses

Alien plants from Paraíba (NE-BR): a survey based on secondary data

Currently, alien plants are the second largest loss of biodiversity in the world, second only to direct human exploitation. Therefore, this work aimed to identify in the literature in the literature and databases the exotic and invasive plants occurring in the state of Paraíba, in order to complement the information on these non-native species for the state. Therefore, it was necessary to prepare a general list of species, as well as autoecological information and evaluation of the degree of floristic similarity between the sampled areas. Floristic data were obtained through scientific articles from indexed academic journals and available on virtual platforms. We survey 265 species, distributed in 23 botanical families. The floristic similarity analysis indicated clusters that were not very similar to each other, revealing that these floras, even though they are in close areas, form distinct floristic compositions. The regression analysis also revealed that the similarities between the evaluated areas did not present a significant relationship with the geographic distance. In general, the exotic flora of Paraíba consists mainly of Poaceae, Asteraceae and Fabaceae, as the most representative components. This flora, in general, is composed of species with wide geographic distribution and predominance of autochoric dispersion. Through the results, one can demonstrate the importance of floristic surveys as an important mechanism for understanding the exotic flora of an ecosystem, in addition to providing essential bases for subsequent studies.

Don’t miss the big fish! Operational accounting of two major drivers of marine biodiversity loss in LCA of seafood products

Impact of fishing activities on marine biodiversity lacks important impact pathways in Life cycle Assessment. We develop Biomaris, a novel LCA-based way of accounting for multifunctionality of fisheries through the “fishnet approach” that includes various species in the fishnet and allocates impacts between co-products at landing. Biomaris adds two important LCIA pathways: resource depletion and seabed impact and uses the ecosystem quality endpoint of LC Impact. Impact pathways are grouped to display impacts for 4 drivers of biodiversity loss: direct exploitation, land and sea-use change, climate change, and pollution. It is applied to a business case study of a fishery of saithe (Pollachius virens) with bottom trawling. Case study at landing shows that impact on seabed is substantial (1×10−9PDF.year/kgliveweight), and that resource depletion and climate change are of similar order of magnitude (2×10−14PDF.year/kgliveweight), the pollution driver being less important. Case study also displays impact of processed product at distribution (Climate change impact: 6×10−14PDF.year/kgnetweight). As of now, despite drivers being expressed in the same unit (PDF.yr), aggregating them is not advised, as, depending on driver, unit concretely represent different level of species disappearance, either (eco)regional or global. There are still important missing impact pathways to comprehensively assess impacts on biodiversity of seafood products (e.g., ghost fishing, plastic pollution, …), but Biomaris displays practical guidance to account, to our knowledge, for the most up-to-date science in the LCA domain.

The Anomalous Photo‐Nernst Effect of Massive Dirac Fermions In HfTe5

AbstractThe quantum geometric Berry curvature results in an anomalous correction to the band velocity of crystal electrons with a corresponding transverse (thermo)electric conductivity. However, time‐reversal symmetry typically constrains the direct observation and exploitation of anomalous transport to magnetic compounds. Here, it is demonstrated the anomalous Hall and Nernst conductivities are essential for describing the optoelectronic transport in thin films of the non‐magnetic, weakly gapped semimetal HfTe5 subject to an external magnetic field. A focused photoexcitation adresses the symmetries of the local Nernst conductivity, which unveils a hitherto hidden, anomalous photo‐Nernst effect of three‐dimensional (3D) massive Dirac fermions. The experimental temperature and density dependencies are compared with a semiclassical Boltzmann transport model. For HfTe5 thin films with the Fermi level close to the gap, the model suggests that the anomalous photo‐Nernst currents originate from an intrinsic Berry curvature mechanism, where the Zeeman interaction effectively breaks time‐reversal symmetry of the massive Dirac fermions already at moderate external magnetic fields.

Recent progress on non-noble metal catalysts for the deoxydehydration of biomass-derived oxygenates

Abstract The utilization of renewable energy represents an effective way to address current issues associated with fossil fuels. Biomass is considered one type of renewable energy resources with abundant reserves on earth. However, the high oxygen contents and high degree of functionalization of biomass have hindered the direct exploitation of biomass for the production of fuels and chemicals. Considerable efforts have been devoted to developing effective deoxygenation methods capable of reducing the oxygen contents of biomass and its derivatives. The deoxydehydration (DODH) of biomass derivatives to generate olefins over oxophilic metal catalysts is considered a very useful approach in eliminating vicinal OH groups. In recent years, catalysts based on non-noble metals such as Mo, W, and V featuring good catalytic performance have emerged as promising alternatives to classical noble Re-based catalysts for DODH. This review aims to summarize the progress on the DODH of biomass-derived vicinal diols catalyzed by non-noble metals such as Mo, W, and V, with an emphasis on the preparation of catalysts, optimization of experimental conditions, and mechanistic studies. By surveying the performance of non-noble metal catalysts, key factors that determine the DODH activity were proposed, including the choice of reductant, the electronic and steric effects of ligand, and the interaction between solid support and metal center. The latter two could adjust the redox properties of metal centers by directly bonding with ligand or solid support.

Aural based scene understanding for sonar applications

Acoustic returns scattered from either surfaces or objects are typically interpreted using image processing techniques such as beamforming and computer vision models such as convolutional neural networks. However, image representations can be burdensome to generate, creating delayed responses in real-time scenarios, and difficult to parse from the scene-understanding perspective. This work investigates direct exploitation of the information content from streaming, near-raw sonar time series data for the purpose of scene characterization. Summary statistics drawn from the sonar performance estimation community and communities that study aural-based perception are used to identify scene characteristics such as flat sand, ripples, gravel beds, or sea grass, in side-looking synthetic aperture sonar (SAS) data. An empirical multi-class classification study is presented that explores the performance of seafloor characterization methods on time series versus imagery.

Reconversion of Agri-Food Production Systems and Deagrarianization in Spain: The Case of Cantabria

The term deagrarianization refers to the dwindling importance of agrarian activity as the economic and social basis of a rural area. Deagrarianization is reflected in the declining number of people engaged in agricultural production and a reduction in the relative importance of agricultural incomes. In addition to the economic consequences, deagrarianization also erodes the importance of the rural population in territorial organization and management and social functioning in rural areas. However, it is also true that the simultaneous shift towards the service economy in present-day rural economies and societies has not led to the disappearance of the rural space but, instead, given rise to new and multiple forms of rurality. The priority objective of the research on which this paper is based is to gain insight into the rural deagrarianization processes in Spain through the specific case of Cantabria. In order to analyze these dynamics, a series of basic indicators have been used. In order of importance, the main indicators employed were those related to the recent dynamics of agriculture, livestock, and forestry activity and the occupational structure of the population as regards its sectoral distribution, with particular attention being paid to the relative importance of livestock and forestry activities in relation to the direct exploitation of territorial resources. In the past, primary sector activities were very important in Cantabria, but their importance has steadily declined in both absolute and relative terms until reaching the current situation. In 2023, only 4579 people have been employed in agriculture out of a total of 214,574 active people (2.13%). It is very significant that between 2012 and 2021, the total number of employed people increased by 9.08% in Cantabria while the proportion of people employed in agricultural activities decreased by −12.90%. Farming is no longer the rural occupation par excellence; however, it continues to be important in most Cantabrian rural municipalities. The territorial distribution is even more revealing. Southern mountain municipalities can be considered the last stronghold of agricultural activity since, in most cases, more than a quarter of their active population is employed in this sector. These are also the rural areas with the highest levels of depopulation. In contrast, other activity sectors have also gained importance in rural areas, although not in the same way. In general, there is less service economy employment in inland rural municipalities, except in those that are county capitals offering services. Some rural, peri-urban, and coastal areas where tourism is more strongly developed also reach high values.

CULTURAL HERITAGE DISSEMINATION: BIM MODELLING AND AR APPLICATION FOR A DIACHRONIC TALE

Abstract. The research purpose is to present a project of cultural dissemination and enhancement of the “Madonna della Pace” Sanctuary at Rocchetta di Airuno (Lecco - Italy), based on an immersive experience of knowledge of the history and places that characterize not only the sanctuary but also the “Cammino di Sant’Agostino” (of which it is one of the stages). The research goal focuses on the direct employment and exploitation of HBIM models for the digital fruition project. An integrated digital survey based on a terrestrial laser scanner and photogrammetry was conducted to provide a complete geometrical representation of the sanctuary and its surroundings. Both output point clouds were employed as metric and geometric references to create the reality-based parametric model. Specifically, the work focuses on creating a three-dimensional chronological model of the sanctuary, which not only represents the current state of the cultural asset but is also enriched through the definition of different evolutionary phases of the architectural artifact based on an indepth study of the photographic and bibliographic documentations. Four Project Phasing has been identified to represent the most significant transformations of the building and were managed using the time parameter in the same BIM project. The sanctuary geometric and parametric models were displayed and navigable thanks to the aid of Virtual and Augmented Reality applications. A VR environment was defined to display in the first person the textured model. Finally, an AR smartphone app prototype was developed to show tourists the sanctuary’s historical transformation over time.

Simulation evaluation of underwater robot structure and control system based on ADAMS

Abstract The twenty-first century is the century of marine resources. The ocean is a treasure of biological resources, energy, water resources and mineral resources, and it would gradually become the “second space” of mankind. In the next few years, it would be more and more relevant to human life. Many scholars have realized the importance of the ocean and began to vigorously develop and use the ocean. Underwater robot is a means for human beings to explore and develop the ocean, and it would be widely used in this field. The development and promotion of underwater vehicles are of great significance to resource development, economic development, and national security. With the increasing shortage of land resources, the development and utilization of marine resources have received increasing attention. The direct exploitation of marine resources by humans would have adverse effects, so the underwater robot technology has developed rapidly in recent years. However, at present, most underwater robots are driven by electric turbines. The underwater working environment requires that the underwater motor has good sealing performance, so its structure is complex and expensive, and it is rarely used in ordinary underwater operations. In recent years, intelligent robots have been used more and more, but because of the complexity and uncertainty of the underwater working environment, there are many uncertain factors. Therefore, it is very meaningful to carry out stability control for it. The research results showed that the displacement, stability, and other corresponding test curves of each component can be obtained by establishing a simple model with software and through ADAMS (Automatic Dynamic Analysis of Mechanical Systems) simulation analysis. This can simulate the movement of real objects in the real environment and find the existing problems, so as to provide a reference for the actual underwater robot design. In this way, the development cycle and production costs can be reduced. This article analyzed the structure and control system of the underwater vehicle based on ADAMS simulation. The results showed that the dynamic stability of the underwater vehicle based on ADAMS simulation analysis was improved by 4.67% compared with the underwater vehicle before optimization.

The evolution of student entrepreneurship: State of the art and emerging research direction

In the knowledge society, universities are asked to contribute to regional development and economic growth through the direct exploitation of research products and, indirectly, through enhancing entrepreneurial awareness in students. Student entrepreneurship (SE) gained increasing relevance among scholars that suggest more research is needed and identify student entrepreneurship as an emerging and growing phenomenon. In this paper, we present the results of a systematization of the current literature to define the state of the art and identify possible new research directions, analyzing 288 published articles in the main International Entrepreneurship and Management Journals and the main journals in Education and Management Business Accounting subject area. The results are presented in two macro sections. The first one is related to the corpus overview and bibliometrics which explores articles by evolution on time, author, citation analysis, and journals. The second section will involve a content analysis that highlights the main issues that emerge from the analysis of the papers, such as the most frequently used theories, data gathering methodologies and methods and mechanisms adopted by universities to support and promote SE. We are confident that these topic areas will significantly help any researcher approaching the study of SE by offering an overview of the different sub-fields in this area. Our work offers suggestions to management educators and business schools administrators to identify new ways to support student entrepreneurs by enhancing their entrepreneurial activities, and institutional leader to rethink policies that encourage entrepreneurship among students.

Enhancement of electrochemical performance of monolayer SnS_2 for Li/Na-ion batteries through a sulphur vacancy: a DFT study

Various transition metal dichalcogenides materials have been investigated from bulk to monolayer phases for different advanced technological applications. Tin disulfide monolayer offers advantages as an anode material for Li/Na-ion batteries, although it cannot be considered ideal for direct exploitation. We systematically performed a comparative study of the adsorption and diffusion behaviour of Li/Na on a pristine SnS_2 monolayer and on a SnS_2 monolayer with S-vacancy for enhancement of electrochemical performance, using density functional theory approach. Although all the adsorption sites are exothermic, it was established that Li/Na adatoms mostly prefer to bind strongly on SnS_2 monolayer with S-vacancy but avoiding the S-vacancy site. It was established that avoiding the S-vacancy site along the path, excellent diffusion barriers of 0.19 eV for Li and 0.13 eV for Na were achieved, suggesting possible ultrafast charge/discharge rate. Due to reduced molar mass, the SnS_2 monolayer with S-vacancy has a slightly higher storage capacity than its pristine counterparts for both Li and Na adatoms. The obtained open circuit voltage values are within the range of 0.25–3.00 V assuring that the formation of dendrites can surely be averted for the envisaged battery operation. Understanding the effects of an S-vacancy on the electrochemical properties of Li/Na on the SnS_2 monolayer allows us to consider possible improvements to energy storage devices that can be applied as a result of improved anode material.

Distribution and threats to coconut crabs on Unguja, Zanzibar

AbstractCoconut crabs Birgus latro are listed as vulnerable by the IUCN due to habitat conversion and fragmentation as well as direct exploitation for human consumption. Here, we document the distribution of coconut crabs in 81 coastal wards (shehia) across the island of Unguja, Zanzibar, and its outlying islets using standardised interviews and night‐time fieldwork. Coconut crabs are mostly absent from the main island of Unguja but are found on 14 of 22 small outlying islands. We matched the distribution on the main island to environmental, social and economic data at the ward level. Our analyses show that coconut crabs are more likely to be present in wards containing rocky as opposed to sandy coastlines, and less likely to be found in wards with hotels and urbanisation, a finding of broad relevance for coastal populations of other species. Our findings show that a new government initiative for economic improvement that encourages construction of hotels on small islets around Unguja needs considerable oversight to prevent threatening the long‐term viability of this vulnerable species in one of its last areas in the Western Indian Ocean. In addition, full formal protection of this species will reduce further population fragmentation.