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42 result(s) for "Paglia, Adriano"
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The effects of landscape patterns on ecosystem services: meta-analyses of landscape services
PurposeThe recently introduced concept of ‘landscape services’—ecosystem services influenced by landscape patterns—may be particularly useful in landscape planning by potentially increasing stakeholder participation and financial funding. However, integrating this concept remains challenging. In order to bypass this barrier, we must gain a greater understanding of how landscape composition and configuration influence the services provided.MethodsWe conducted meta-analyses that considered published studies evaluating the effects of several landscape metrics on the following services: pollination, pest control, water quality, disease control, and aesthetic value. We report the cumulative mean effect size (E++), where the signal of the values is related to positive or negative influences.ResultsLandscape complexity differentially influenced the provision of services. Particularly, the percentage of natural areas had an effect on natural enemies (E++ = 0.35), pollination (E++ = 0.41), and disease control (E++ = 0.20), while the percentage of no-crop areas had an effect on water quality (E++ = 0.42) and pest response (E++ = 0.33). Furthermore, heterogeneity had an effect on aesthetic value (E++ = 0.5) and water quality (E++ = − 0.40). Moreover, landscape aggregation was important to explaining pollination (E++ = 0.29) and water quality (E++ = 0.35).ConclusionsThe meta-analyses reinforce the importance of considering landscape structure in assessing ecosystem services for management purposes and decision-making. The magnitude of landscape effect varies according to the service being studied. Therefore, land managers must account for landscape composition and configuration in order to ensure the maintenance of services and adapt their approach to suit the focal service.
Duality of interaction outcomes in a plant–frugivore multilayer network
In plant–animal interactions, species are commonly labeled as either mutualists or antagonists, based on the most common, most studied, or most easily observed outcome. Nevertheless, evidence from simple systems comprising 2–4 species suggests that those labels are an oversimplification: individual species often function in both roles, either simultaneously or at different places or times. We include both mutualistic and antagonistic interactions between mammals and seeds in a multilayer network, to explore for the first time the community-level consequences of the dual roles played by some species. We tested whether negative and positive interactions within a plant–frugivore network are separated into different modules, or whether they overlap due to the presence of frugivores that both kill and disperse seeds. The frugivorous diets of nonvolant small mammals were studied at one dry tropical forest site in southeastern Brazil by analyzing fecal samples from individuals captured in live traps. Seed viability was assessed with a tetrazolium test to determine the outcome of those interactions, as estimated by whether or not seeds survived gut passage. Interactions were analyzed as a weighted multilayer network, subdivided into one potentially mutualistic (live seeds deposited) and one antagonistic (dead seeds deposited) layer. The two layers had similar structure with high overlap between them. Some mammal species exhibited highly central, dual roles, acting both as antagonists and mutualists, in many cases of the same plant species. Dispersal service by most of these small mammals is accompanied by seed destruction, suggesting that the selective pressures exerted by those animals on the plants is much more complex than often assumed. Our results demonstrate that the complexity of plant–frugivore networks can not be fully understood without proper incorporating measures of seed fate following gut passage.
Niche conservatism and the invasive potential of the wild boar
1. Niche conservatism, i.e. the retention of a species' fundamental niche through evolutionary time, is cornerstone for biological invasion assessments. The fact that species tend to maintain their original climate niche allows predictive maps of invasion risk to anticipate potential invadable areas. Unravelling the mechanisms driving niche shifts can shed light on the management of invasive species. 2. Here, we assessed niche shifts in one of the world's worst invasive species: the wild boar Sus scrofa. We also predicted potential invadable areas based on an ensemble of three ecological niche modelling methods, and evaluated the performance of models calibrated with native vs. pooled (native plus invaded) species records. By disentangling the drivers of change on the exotic wild boar population's niches, we found strong evidence for niche conservatism during biological invasion. 3. Ecological niche models calibrated with both native and pooled range records predicted convergent areas. Also, observed niche shifts are mostly explained by niche unfilling, i.e. there are unoccupied areas in the exotic range where climate is analogous to the native range. 4. Niche unfilling is expected as result of recent colonization and ongoing dispersal, and was potentially stronger for the Neotropics, where a recent wave of introductions for pig-farming and game-hunting has led to high wild boar population growth rates. The invasive potential of wild boar in the Neotropics is probably higher than in other regions, which has profound management implications if we are to prevent their invasion into species-rich areas, such as Amazonia, coupled with expansion of African swine fever and possibly great economic losses. 5. Although the originally Eurasian-wide distribution suggests a pre-adaptation to a wide array of climates, the wild boar world-wide invasion does not exhibit evidence of niche evolution. The invasive potential of the wild boar therefore probably lies on the reproductive, dietary and morphological characteristics of this species, coupled with behavioural thermoregulation.
Ecosystem Services Modeling as a Tool for Defining Priority Areas for Conservation
Conservationists often have difficulty obtaining financial and social support for protected areas that do not demonstrate their benefits for society. Therefore, ecosystem services have gained importance in conservation science in the last decade, as these services provide further justification for appropriate management and conservation of natural systems. We used InVEST software and a set of GIS procedures to quantify, spatialize and evaluated the overlap between ecosystem services-carbon stock and sediment retention-and a biodiversity proxy-habitat quality. In addition, we proposed a method that serves as an initial approach of a priority areas selection process. The method considers the synergism between ecosystem services and biodiversity conservation. Our study region is the Iron Quadrangle, an important Brazilian mining province and a conservation priority area located in the interface of two biodiversity hotspots, the Cerrado and Atlantic Forest biomes. The resultant priority area for the maintenance of the highest values of ecosystem services and habitat quality was about 13% of the study area. Among those priority areas, 30% are already within established strictly protected areas, and 12% are in sustainable use protected areas. Following the transparent and highly replicable method we proposed in this study, conservation planners can better determine which areas fulfill multiple goals and can locate the trade-offs in the landscape. We also gave a step towards the improvement of the habitat quality model with a topography parameter. In areas of very rugged topography, we have to consider geomorfometric barriers for anthropogenic impacts and for species movement and we must think beyond the linear distances. Moreover, we used a model that considers the tree mortality caused by edge effects in the estimation of carbon stock. We found low spatial congruence among the modeled services, mostly because of the pattern of sediment retention distribution.
ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America
Our understanding of mammal ecology has always been hindered by the difficulties of observing species in closed tropical forests. Camera trapping has become a major advance for monitoring terrestrial mammals in biodiversity rich ecosystems. Here we compiled one of the largest datasets of inventories of terrestrial mammal communities for the Neotropical region based on camera trapping studies. The dataset comprises 170 surveys of medium to large terrestrial mammals using camera traps conducted in 144 areas by 74 studies, covering six vegetation types of tropical and subtropical Atlantic Forest of South America (Brazil and Argentina), and present data on species composition and richness. The complete dataset comprises 53,438 independent records of 83 species of mammals, includes 10 species of marsupials, 15 rodents, 20 carnivores, eight ungulates and six armadillos. Species richness averaged 13 species (±6.07 SD) per site. Only six species occurred in more than 50% of the sites: the domestic dog Canis familiaris, crab-eating fox Cerdocyon thous, tayra Eira barbara, south American coati Nasua nasua, crab-eating raccoon Procyon cancrivorus and the nine-banded armadillo Dasypus novemcinctus. The information contained in this dataset can be used to understand macroecological patterns of biodiversity, community, and population structure, but also to evaluate the ecological consequences of fragmentation, defaunation, and trophic interactions.
Modelling Highly Biodiverse Areas in Brazil
Traditional conservation techniques for mapping highly biodiverse areas assume there to be satisfactory knowledge about the geographic distribution of biodiversity. There are, however, large gaps in biological sampling and hence knowledge shortfalls. This problem is even more pronounced in the tropics. Indeed, the use of only a few taxonomic groups or environmental surrogates for modelling biodiversity is not viable in mega-diverse countries, such as Brazil. To overcome these limitations, we developed a comprehensive spatial model that includes phylogenetic information and other several biodiversity dimensions aimed at mapping areas with high relevance for biodiversity conservation. Our model applies a genetic algorithm tool for identifying the smallest possible region within a unique biota that contains the most number of species and phylogenetic diversity, as well as the highest endemicity and phylogenetic endemism. The model successfully pinpoints small highly biodiverse areas alongside regions with knowledge shortfalls where further sampling should be conducted. Our results suggest that conservation strategies should consider several taxonomic groups, the multiple dimensions of biodiversity, and associated sampling uncertainties.
Orthopoxvirus Circulation in an Endemic Area in Brazil: Investigation of Infections in Small Mammals during an Absence of Outbreaks
Vaccinia virus (VACV) is the causative agent of an emerging viral zoonosis called bovine vaccinia (BV). Several studies have documented characteristics of VACV infections in Brazil; however, the manner in which this virus is maintained in wildlife remains unknown. This work investigated the presence of viral DNA and anti-orthopoxvirus (OPXV) antibodies in samples collected from small mammals in a VACV-endemic area in Minas Gerais, Brazil, in the absence of current outbreaks. Samples did not show amplification of OPXV DNA in molecular tests. However, 5/142 serum samples demonstrated the presence of anti-OPXV neutralizing antibodies in serological tests. These data reinforce the involvement of small mammals in the natural cycle of VACV, highlighting the need for further ecological studies to better understand how this virus is maintained in nature and to develop measures to prevent BV outbreaks.
Does Resource Availability Affect the Diet and Behavior of the Vulnerable Squirrel Monkey, Saimiri vanzolinii?
Seasonal changes in food availability influence the behavior and diet of primates, and an understanding of dietary changes is important for the development of informed conservation plans. Saimiri vanzolinii is a small-bodied, omnivorous squirrel monkey endemic to the floodplain forests in Central Amazonia. It has a restricted distribution of only ca. 870 km 2 and is classified as Vulnerable. We examined seasonal variation in this species’ diet. We collected phenological (presence and absence of ripe fruits from 205 tree species) and dietary and behavioral data for unhabituated groups of S. vanzolinii on nine 2-km transects in the floodplain forests of Central Amazonia for 2 years, encompassing the high-water and low-water periods. Fruit availability was higher, and the monkeys traveled less and fed more during the high-water than the low-water period. There were no seasonal differences between the high-water and low-water periods in the time spent feeding on fruits, flowers, or arthropods. S. vanzolinii spent more time consuming fruit than arthropods in the high-water period, but this was not the case in the low-water period. These findings suggest that food selection changed between seasons, and S. vanzolinii focused more on fruit in the low-water period, when fruit was less available, than in the high-water period, when fruit was more available. These results support the predictions of the ecological constraints model.
The Perception of Cultural Ecosystem Services by Tourists in Brazilian Protected Areas
Protected areas play a crucial role in biodiversity conservation, nature tourism, and the provision of ecosystem services, with cultural ecosystem services shaping key human‐nature interactions. Understanding how visitors perceive these protected areas, whether positively or negatively, is essential for supporting their conservation. This study investigates tourists' perceptions of cultural ecosystem services in 27 Strictly Protected Areas in southeastern Brazil, based on TripAdvisor reviews. Nouns were categorized into four main aspects: structural (physical attributes), aesthetic (nature experiences), sociocultural (culture, religiosity, education) and recreational (leisure activities). Adjectives were classified as positive or negative. Positive adjectives were predominantly associated with all aspects, particularly aesthetics and structure. Structural aspects were more frequently associated with negative descriptors, while aesthetic and sociocultural aspects received fewer negative associations than expected by chance. Additionally, sociocultural and recreational aspects also received little attention. These results suggest that tourists are mainly attracted to the natural aesthetic qualities of protected areas, followed by structural features. This positive relationship between tourists and nature has implications for strengthening conservation efforts, emphasizing the value of natural beauty and well‐maintained infrastructure. Furthermore, incorporating sociocultural elements into management practices could foster stronger collaboration between managers and local communities, promoting a more inclusive and sustainable approach to protected area management. Ultimately, the study highlights the importance of integrating natural, structural, and cultural elements into conservation strategies to improve both ecological preservation and local community involvement.
Environment Drivers Acting on Rodent Rapid Morphological Change
Rapid Morphological Changes (RMCs) in rodents has been frequently documented. However, relation between RMCs and potential environmental drivers has been understudied. Here, we utilized a museum collection of four rodent species, collected in the same Atlantic Forest fragment, to investigate variation in the skull morphology over time, and test the influence of environmental and diversity drivers in RMC. We tested differences in size and shape of the skull between specimens collected in two temporal series, 1992–1997 and 2009–2010. For size, we tested differences over time in 20 cranial measurements within each species with independent-samples t-tests. To test shape variation, we performed a PERMANOVA with data generated by 13 landmarks on the dorsal view and another 13 on the ventral view throughout two-dimensional geometric morphometrics. We also explored the best relationships between cranial changes and five drivers of climate and two of rodent diversity by Akaike model selection. Our analysis showed RMCs in all studied species and theses changes were strongly influenced by tested drivers. The best model included only maximum temperature showing a negative association with size. Other tested models that presented similar fit showed that precipitation, humidity, richness of rodents, and minimum temperature had a positive association with size. Additionally, abundance also was negatively associated with morphological changes in the most abundant and the largest of the sampled species. The results indicated these species seem to quickly respond to environmental changes. Understanding which species have the potential to adapt to changes is central for the future of biodiversity conservation.