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A massive expansion of renewable energy (RE) is underway to meet the world's climate goals. Although RE serves to reduce threats from climate change, it can also pose threats to species whose current and future ranges intersect with RE installations. Here, we propose a "Climate-Smart Siting" framework for addressing potential conflicts between RE expansion and biodiversity conservation. The framework engenders authentic consultation with affected and disadvantaged communities throughout and uses overlay and optimization routines to identify focal areas now and in the future where RE development poses promise and peril as species' ranges shift in response to climate change. We use this framework to demonstrate methods, identify decision outcomes, and discuss market-based levers for aligning RE expansion with the United Nations Global Biodiversity Framework now and as climate change progresses. In the face of the climate crisis, a Climate-Smart Siting strategy could help create solutions without causing further harm to biodiversity and human communities..
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Human population growth constantly requires an increase in the production of food and products from the timber industry. To meet this demand, agriculture and planted forests are advancing over natural areas. In view of this, it is necessary to know the effects of land use for different purposes (grain production, pastures, planted forests, fruit production and among other uses) on the genetic diversity of populations of native species. This knowledge can assist in land use planning as well as in the development of conservation strategies for native species. In this study, we evaluated the effect of land use for agriculture (mainly for cereal production) and planted forests on the genetic diversity of Baccharis crispa Spreng., a herb native to South America. To achieve our goals, we compared population genetic data obtained with three molecular markers (microsatellites, inter-simple sequence repeat and isoenzymes) with data on land use for agriculture and planted forests from 15 different locations. Our results showed that regardless of the molecular marker used, the greater the use of land for agriculture and planted forests, the lower was the genetic diversity of B. crispa populations. Baccharis crispa is a semi-perennial species that needs at least one year to reach its reproductive period, which is prevented in agricultural areas due to the land being turned over or dissected with herbicides every 6 months. In the studied regions, the planted forests are of eucalypt and/or pine, which besides being species with a high production of allelopathic substances, produce strong shading and B. crispa is a species that inhabits open grassland that needs a high incidence of sunlight for development. The data obtained in our study can assist in the decision-making to use land in order to reconcile the production of supplies for humanity and for the conservation of nature.
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Palm swamp forests are wetland ecosystems typical of the Brazilian Cerrado, which in recent decades have undergone intense changes due to land use alterations and climate change. As a result of these disturbances, many palm swamps have been experiencing significant drying, which can also affect adjacent vegetation. In the present study, we evaluated whether the drying of palm swamps affects the structure of plant-herbivore networks located in adjacent savanna areas in Brazil. Our results show that savanna areas adjacent to dry zones of palm swamps have fewer interactions, fewer interacting species, and a less specialized topology, which corroborates our expectations. Our findings indicate that the drying of palm swamps also has propagated impacts on adjacent savanna vegetation, impairing more specialized interactions in these environments. On the other hand, contrary to expectations, plant-herbivore networks in dry zones displayed higher modularity, lower nestedness and lower robustness than those in wet zones, suggesting that in dry environments, species tend to compartmentalize their interactions, even with lower interaction specialization. This is the first study to investigate the impacts of environmental drying on the structure of plant-herbivore networks in tropical ecosystems, highlighting the complexity of these effects and their differential impact on specialized and generalized interactions. Understanding these dynamics is crucial for developing effective conservation and management strategies in the face of ongoing environmental changes.
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Florestas , Pradaria , Áreas Alagadas , Brasil , Mudança Climática , Ecossistema , Arecaceae/fisiologia , Herbivoria/fisiologia , Estresse FisiológicoRESUMO
The effectiveness of strategic psychology-based marketing techniques for increasing public support for conservation is poorly understood. We assessed how such techniques affect support for tropical rainforest restoration with a controlled online experiment with 1166 nationally representative residents of the United Kingdom. We tested whether support increased when adding ecosystem service (ES) framings to typical nongovernmental organizations' (NGOs) biodiversity-focused messages that emphasize benefits to UK residents or people living near the tropical restoration site and a dynamic social norm nudge that emphasized increasing popularity of environmental restoration. We considered how respondents' psychological traits (nature connection, self-efficacy, psychological benefits of supporting charities, awareness of environmental degradation in the Global South, and climate change skepticism) influenced responses. Outcomes included respondents' reported advertisement sufficiency, sympathetic attitudes, behavioral support, and financial support. The study population typically found advertisements sufficient and exhibited sympathetic attitudes and financial, but not behavioral, support. Younger people exhibited greater conservation support than older respondents. Messages framed solely on biodiversity conservation were as effective as those highlighting additional ES benefits received by UK residents and people near the tropical restoration site. This suggests that framing around ESs, rather than nature's intrinsic value, may not strengthen public support for conservation. The dynamic social norm nudge had perverse effects. It reduced perceived social norms and most outcome variables. Alternative dynamic norm nudges warrant testing, but our results support research suggesting dynamic norm nudges can be ineffective when associated with activism, challenging their use by conservation NGOs. Psychological benefits of supporting charities and perceived self-efficacy increased support for advertisements, highlighting the benefits of including impact statements relating respondents' support to specific outcomes. Climate change skepticism decreased support, whereas nature connection and perceived static social norms increased it, highlighting the need to increase nature connection and pro-environmental social norms to elevate public support for conservation.
Impactos del encuadre de los mensajes sobre servicios ambientales y las normas sociales dinámicas sobre el apoyo público hacia la restauración de bosques tropicales Resumen Sabemos poco sobre la eficiencia de las técnicas de mercadotecnia basadas en la psicología estratégica para aumentar el apoyo público a la conservación. Evaluamos cómo afectan dichas técnicas al apoyo a la restauración de la selva tropical mediante un experimento controlado en línea con 1,166 residentes del Reino Unido representativos a nivel nacional. Comprobamos si el apoyo aumentaba al añadir marcos de servicios ambientales a los mensajes típicos de las organizaciones no gubernamentales (ONG) centrados en la biodiversidad, que hacen hincapié en los beneficios para los residentes del Reino Unido o las personas que viven cerca del lugar de restauración tropical y un empuje dinámico de normas sociales que hacía hincapié en la creciente popularidad de la restauración ecológica. Analizamos la influencia de los rasgos psicológicos de los encuestados (conexión con la naturaleza, autoeficacia, beneficios psicológicos de apoyar a organizaciones benéficas, experiencia de degradación ambiental en el Sur Global y escepticismo ante el cambio climático) sobre las respuestas. Los resultados fueron la suficiencia de los anuncios, las actitudes de simpatía, el apoyo conductual y el apoyo económico. En general, la población del estudio consideró que los anuncios eran suficientes y mostró actitudes de simpatía y apoyo económico, pero no conductuales. La población más joven mostró un mayor apoyo a la conservación que los encuestados de más edad. Los mensajes centrados únicamente en la conservación de la biodiversidad fueron tan eficaces como los que destacaban los beneficios adicionales de los servicios ambientales recibidos por los residentes del Reino Unido y las personas cercanas al lugar de restauración tropical. Esto sugiere que el encuadre en torno a los servicios ambientales, en lugar del valor intrínseco de la naturaleza, puede no reforzar el apoyo público a la conservación. El empuje dinámico de la norma social tuvo efectos perversos ya que redujo las normas sociales percibidas y la mayoría de las variables de resultado. Es necesario probar otros incentivos dinámicos, pero nuestros resultados corroboran las investigaciones que sugieren que los incentivos dinámicos pueden ser ineficaces cuando se asocian con el activismo, lo que cuestiona su uso por parte de las ONG de la conservación. Los beneficios psicológicos por apoyar a organizaciones benéficas y la autoeficacia percibida aumentaron el apoyo a los anuncios, lo que resalta las ventajas de incluir declaraciones de impacto que relacionen el apoyo de los encuestados con resultados específicos. El escepticismo ante el cambio climático redujo el apoyo, mientras que la conexión con la naturaleza y las normas sociales estáticas percibidas lo aumentaron, lo que destaca la necesidad de aumentar la conexión con la naturaleza y las normas sociales proambientales para elevar el apoyo público a la conservación.
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The Japanese eel (Anguilla japonica), a flagship anguillid species for conservation, is known for its long-distance-oriented migration. However, our understanding of the genetic architecture underlying long-distance migration and population genomic characteristics of A. japonica is still limited. Here, we generated a high-quality chromosome-level genome assembly and conducted whole-genome resequencing of 218 individuals to explore these aspects. Strong signals of selection were found on genes involved in long-distance aerobic exercise and navigation, which might be associated with evolutionary adaptation to long-distance migrations. Low genetic diversity was detected, which might result from genetic drift associated with demographic declines. Both mitochondrial and nuclear genomic datasets supported the existence of a single panmictic population for Japanese eel, despite signals of single-generation selection. Candidate genes for local selection involved in functions like development and circadian rhythm. The findings can provide insights to adaptative evolution to long-distance migration and inform conservation efforts for A. japonica.
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Climate change significantly impacts the distribution of woody plants, indirectly influencing the dynamics of entire ecosystems. Understanding species' varied responses to the environment and their reliance on biotic interactions is crucial for predicting the global changes' impact on woodland biodiversity. Our study focusses on Dicranum viride, a moss of conservation priority, and its dependence on specific phorophytes (host trees). Using species distribution modelling (SDM) techniques, we initially modelled its distribution using climate-only variables. As a novel approach, we also modelled the distribution of the main phorophyte species and incorporated them into D. viride SDM alongside climate data. Finally, we analysed the overlap of climatic and geographic niches between the epiphyte and the phorophytes. Inclusion of biotic interactions significantly improved model performance, with phorophyte availability emerging as the primary predictor. This underscores the significance of epiphyte-phorophyte interactions, supported by substantial niche overlap. Predictions indicate a potential decline in the suitability of most of the current areas for D. viride, with noticeable shifts towards the northern regions of Europe. Our study underscores the importance of incorporating biotic interactions into SDMs, especially for dependent organisms. Understanding such connections is essential to implement successful conservation strategies and adapt forest management practices to environmental changes.
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Briófitas , Mudança Climática , Ecossistema , Árvores , Briófitas/fisiologia , Biodiversidade , Florestas , Europa (Continente)RESUMO
In recent years, vegetation plays a key role in landslide stability under extreme rainfall in the Three Gorges Reservoir area, so it is very important to identify the mechanism of vegetation slope protection. This study takes wildcat landslide in Three Gorges Reservoir area as the research object, using indoor landslide model test and building monitoring systems such as stress field, displacement field, and soil erosion, to illustrate the protective effect of typical vegetation. Furthermore, Bermuda cover effectively reduces pore water pressure, pore soil pressure, displacement, and turbidity. In particular, the three stages of interception and buffering of rainfall by stems and leaves, infiltration and absorption of rainfall by the root system, and the reinforcement of the slope against sliding forces by the root system have been divided. Moreover, these findings offer valuable preliminary insights for guiding landslide mitigation strategies in the Three Gorges Reservoir area.
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The aim of this study was to explore the relationship between pesticide contamination at 16 locations in 14 Dutch nature conservation areas and the abundance of Coleoptera (among which dung beetles) in excrements of grazing cattle. A wide spectrum of pesticides was measured in soil, vegetation and excrements of cattle, obtained from all locations. In the fresh dung pats sampled for chemical analysis, beetle numbers were counted and beetle species were identified. In total, 31 different pesticides (including some metabolites) were detected: 14 in fresh excrements, 17 in soil and 20 in vegetation. Total pesticide concentrations in soil, vegetation and excrements varied between 2.6 and 200 µg kg -1 dry matter. In vegetation, the most frequently encountered classes of pesticides (including some of their metabolites) were fungicides (9), herbicides (4) and insecticides (6). The total number of Coleoptera beetles in dung pats correlated negatively with the total concentration of insecticides in vegetation (Kendall's τ -0.501 at p < 0.05). The total concentrations of herbicides and fungicides were not statistically significant correlated with Coleoptera beetle numbers in the dung pats. Yet, the concentration of one single herbicide, viz. chlorpropham in vegetation correlated significantly negative with Coleoptera counts (Kendall's τ -0.603 at p < 0.01).
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Besouros , Monitoramento Ambiental , Praguicidas , Animais , Praguicidas/análise , Bovinos , Fezes/química , Conservação dos Recursos Naturais , Países BaixosRESUMO
This study reviews chronologically the international scientific and health management literature and resources relating to impacts of highly pathogenic avian influenza (HPAI) viruses on pinnipeds in order to reinforce strategies for the conservation of the endangered Caspian seal (Pusa caspica), currently under threat from the HPAI H5N1 subtype transmitted from infected avifauna which share its haul-out habitats. Many cases of mass pinniped deaths globally have occurred from HPAI spill-overs, and are attributed to infected sympatric aquatic avifauna. As the seasonal migrations of Caspian seals provide occasions for contact with viruses from infected migratory aquatic birds in many locations around the Caspian Sea, this poses a great challenge to seal conservation. These are thus critical locations for the surveillance of highly pathogenic influenza A viruses, whose future reassortments may present a pandemic threat to humans.
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Caniformia , Virus da Influenza A Subtipo H5N1 , Influenza Aviária , Animais , Caniformia/virologia , Influenza Aviária/virologia , Influenza Aviária/epidemiologia , Influenza Aviária/transmissão , Virus da Influenza A Subtipo H5N1/patogenicidade , Espécies em Perigo de Extinção , Aves/virologia , Focas Verdadeiras/virologia , Infecções por Orthomyxoviridae/virologia , Infecções por Orthomyxoviridae/transmissão , Infecções por Orthomyxoviridae/veterináriaRESUMO
With the expansion of green energy, more and more data show that wind turbines can pose a significant threat to some endangered bird species. The birds of prey are more frequently exposed to collision risk with the wind turbine blades due to their unique flight path patterns. This paper shows how data from a stereovision system can be used for an efficient classification of detected objects. A method for distinguishing endangered birds from common birds and other flying objects has been developed and tested. The research focused on the selection of a suitable feature extraction methodology. Both motion and visual features are extracted from the Bioseco BPS system and retested using a correlation-based and a wrapper-type approach with genetic algorithms (GAs). With optimal features and fine-tuned classifiers, birds can be distinguished from aeroplanes with a 98.6% recall and 97% accuracy, whereas endangered birds are delimited from common ones with 93.5% recall and 77.2% accuracy.
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In response to the pressing challenges of the ongoing biodiversity crisis, the protection of endangered species and their habitats, as well as the monitoring of invasive species are crucial. Habitat suitability modeling (HSM) is often treated as the silver bullet to address these challenges, commonly relying on generic variables sourced from widely available datasets. However, for species with high habitat requirements, or for modeling the suitability of habitats within the geographic range of a species, variables at a coarse level of detail may fall short. Consequently, there is potential value in considering the incorporation of more targeted data, which may extend beyond readily available land cover and climate datasets. In this study, we investigate the impact of incorporating targeted land cover variables (specifically tree species composition) and vertical structure information (derived from LiDAR data) on HSM outcomes for three forest specialist bat species (Barbastella barbastellus, Myotis bechsteinii, and Plecotus auritus) in Rhineland-Palatinate, Germany, compared to commonly utilized environmental variables, such as generic land-cover classifications (e.g., Corine Land Cover) and climate variables (e.g., Bioclim). The integration of targeted variables enhanced the performance of habitat suitability models for all three bat species. Furthermore, our results showed a high difference in the distribution maps that resulted from using different levels of detail in environmental variables. This underscores the importance of making the effort to generate the appropriate variables, rather than simply relying on commonly used ones, and the necessity of exercising caution when using habitat models as a tool to inform conservation strategies and spatial planning efforts.
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Plant and animal conservation have benefited from the assistance of wildlife detection dogs (WDDs) since 1890, but their application to fungal conservation has not been trialed. In a world-first, we tested the effectiveness of WDDs and human surveyors when searching for experimentally outplanted fungi in natural habitat. We focused on a critically endangered fungus from Australia, Hypocreopsis amplectens, and showed that a WDD outperformed a human surveyor: our WDD detected a greater proportion of targets, had a faster time to first discovery, and had fewer false negatives. Our study highlights the tremendous potential for WDDs to enhance fungal conservation by demonstrating their utility in one of the most challenging fungal systems: a rare species with low population densities and low volatility. Our findings suggest that the application of WDDs to fungal conservation should enhance continuing efforts to document and conserve an understudied kingdom that is threatened by habitat loss and climate change.
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Range-limited endemic species, often labeled as endangered due to their low adaptability to climate change, exhibit unclear evolutionary mechanisms influencing their distribution. This study explores the relationship between leaf length, maximum height, and seed diameter and their linkage to phylogeny and climate in the macroecology of 1,370 woody endemics. Using Bayesian analytical method that allows partitioning phylogenetic and environmental variances and covariance, we revealed moderate to high phylogenetic signals in these traits, indicating evolutionary constraints potentially impacting climate change adaptability. The study uncovered a phylogenetically conserved coordination between height and leaf length which showed to be independent of macroecological patterns of temperature and precipitation. These findings emphasize the role of phylogenetic ancestry in shaping the distribution of woody endemics, highlighting the need for prioritized in-situ conservation and providing insights for ex situ conservation strategies.
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The ecosystem services framework is essential for biodiversity conservation, emphasizing the role of nature in achieving sustainable development goals (SDGs). This study offers a global view on vulture-associated ecosystem services and their SDG contributions, based on insights from 206 experts. The findings reveal global consensus on the importance of vultures in regulation and maintenance services, such as waste recycling and disease control. Cultural services attributed to vultures are moderate and vary regionally. Provisioning services are consistently rated low across all regions. Experts' views on vultures' key ecosystem roles are often biased toward well-known services and may not align with all scientific evidence. The study emphasizes vultures' role in achieving SDGs, particularly impacting life on land and health, and calls for reevaluating their contribution to sustainable practices. It stresses the need to customize conservation to regional values and perceptions, recognizing vultures' critical role in ecological balance, public health, and sustainable development.
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Colonization of urban areas by wild species is a widespread phenomenon investigated from various ecological and evolutionary perspectives, yet long-term population trends of organisms in urban areas remain understudied. To fill this knowledge gap, we used data from a large-scale breeding bird monitoring scheme and computed population trends in 48 urban bird species in urban and rural areas of a central European country, Czechia. In most species, trends were similar in both environments, indicating common drivers and/or connections between urban and rural populations. In species with significant trends, the positive trends prevailed, suggesting good performance of urbanized species. This may result from wildlife-friendly environmental changes in cities, such as the expansion of green areas and the maturing of woody vegetation. In respect to species traits, more positive trends were found in larger species than in smaller species in both habitats, likely due to the recovery of previously depleted populations.
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This research presents the methods that are used to examine the dynamics and potential spillover effects of various global environmental conservation programs. We specifically show the data and models that we use to analyze the interactions and mutual influences between the U.S.'s Conservation Reserve Program (CRP) and Environmental Quality Incentives Program (EQIP), as well as those between China's Grain-to-Green Program (GTGP) and Forest Ecological Benefit Compensation (FEBC). Additionally, this study illustrates information about global initiatives, their interconnected impacts, and the associated policy strategies for environmental conservation. By utilizing multivariate regression, logistic regression, eigenvector spatial filtering, and scenario modeling, the research aims to understand the collective influence of these initiatives on broader environmental objectives. The findings of this study provide valuable insights for improving conservation policy designs and effectiveness.â¢Multivariate and logistic regression analyses to dissect global environmental conservation program interactions and mutual influences.â¢Eigenvector spatial filtering to address spatial autocorrelation and enhance the accuracy of the model results and our interpretations.â¢Scenario modeling to project potential future outcomes and impacts.
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New alien species are increasingly introduced and established outside their native range. The knowledge of the spatiotemporal dynamics of their accumulation and the factors determining their residence time in the introduced range is critical for proactive management, especially in emerging economies. Based on a comprehensive time series dataset of 721 alien angiosperms in China, we show that new alien flora has been accumulating steadily in China, particularly in the coastal regions, for the last 80 years without saturation. The ability to occupy a large number of habitats facilitates the early introduction of alien flora, whereas a large naturalized range, greater number of uses, and multiple introduction pathways directly contribute to their naturalization and invasion. The temporal pattern is predicted to remain consistent in the foreseeable future. We propose upgrading the country's biosecurity infrastructure based on a standardized risk assessment framework to safeguard the country from ongoing and future invasions.
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Artificial light at night is a growing environmental problem that is especially pronounced in urban environments. Yet, impacts on urban wildlife have received scant attention and patterns and consequences are largely unknown. Here, I present a conceptual framework outlining the challenges species encounter when exposed to urban light pollution and how they may respond through plastic adjustments and genetic adaptation. Light pollution interferes with biological rhythms, influences behaviors, fragments habitats, and alters predation risk and resource abundance, which changes the diversity and spatiotemporal distribution of species and, hence, the structure and function of urban ecosystems. Furthermore, light pollution interacts with other urban disturbances, which can exacerbate negative effects on species. Given the rapid growth of urban areas and light pollution and the importance of healthy urban ecosystems for human wellbeing, more research is needed on the impacts of light pollution on species and the consequences for urban ecosystems.
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Ecosystem conservation requires a deeper understanding of species-habitat relationships and population dynamics at a fine spatiotemporal resolution. We propose a new distribution modeling method based on a 5-year monthly survey that considers the temporal continuity of species distributions and physical habitat datasets by inputting continuous time-related variables. We employed random forests to relate the presence/absence of the non-native freshwater fish Candidia temminckii to physical habitat data at 15 sampling sites along a 1.4 km spring-fed river in Japan. The proposed method outperforms all conventional methods using datasets split into a specific time period to incorporate temporality into the model. The order of variable importance and shape of the partial dependence plots of the proposed method reflect species ecology and show a gradual shift over time compared to the conventional methods. These results demonstrate the applicability of the proposed method to species distribution modeling using fine-scale spatiotemporal data.
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Population declines of vertebrates are common, but rebuilding marine life may be possible. We assessed trends in sea turtle numbers globally, building 61 time series of abundance extending beyond 2015, representing monitoring in >1200 years. Increases were widespread with significant upward trends, no significant change, and significant downward trends in 28, 28, and 5 time series, respectively. For example, annual nest numbers increased between 1980 and 2018 from around 4,000 to 16,000 for green turtles at Aldabra (Seychelles, Indian Ocean) and between 2008 and 2020 from around 500 to 35,000 for loggerhead turtles in Sal (Cape Verde, north Atlantic). However, conservation concerns remain. Major populations may experience declines, such as loggerhead turtles in Oman, while previous upward trends can be reversed, as with green turtles nesting at Tortuguero (Costa Rica, Caribbean). Further, decreases in abundance were evident in several leatherback turtle time series. These concerns show there is no room for complacency for sea turtle conservation.