Rapid ecological assessment of wasp fauna (Hymenoptera: Aculeata) of the Serra do Divisor National Park, Acre, Brazil

O Parque Nacional da Serra do Divisor (PNSD), localizado a noroeste do Estado do Acre, é considerado uma das áreas de maior diversidade da Amazônia. A importância de se considerar insetos em programas de conservação tem sido muito enfatizada. Vespas solitárias e sociais são componentes muito importantes dos ecossistemas, devido à posição que ocupam nas redes alimentares. Esse trabalho teve como objetivo realizar uma avaliação ecológica rápida da fauna de vespas do PNSD, para subsidiar a elaboração de um plano de manejo do referido parque. A amostragem foi realizada em 12 sítios de coleta, situados no interior de oito tipologias de vegetação. Os insetos foram coletados através de armadilhas Malaise, as quais foram expostas em todos os sítios por 24 horas, totalizando 288 horas de amostragem. Foram consideradas nas análises vespas das famílias Chalcididae, Eucharitidae, Evaniidae, Mutillidae, Pompilidae, Crabronidae e Vespidae. Ao todo, foram coletados 366 indivíduos distribuídos em 40 gêneros e 85 espécies. Os gêneros Ephuta (Mutillidae), Trypoxylon (Crabronidae) e Conura (Chalcididae) foram os mais ricos em espécies. Os sítios localizados na região norte do PNSD, considerada zona intangível e zona primitiva, foram os mais ricos em espécies. Cerca de 65% das espécies foram exclusivas a um único sítio, o que significa que as amostras possuem pequena similaridade faunística. Algumas espécies coletadas são consideradas raras.The Serra do Divisor National Park (PNSD), located at the northwest of Acre State, Amazonia, is considered an area of great biodiversity. The question of considering insects in conservation programs. Solitary and social wasps are important components of the terrestrial ecosystems due to their position in trophic webs. The present study aimed at making a rapid ecological assessment of the wasps from the PNSD in order to support the elaboration of a conservation and management plan for that park. The insects were sampled in 12 sites located in eight forest types by Malaise traps that operated in each for 24 hours, totaling 288 hours of sampling. The results on the families Chalcididae, Eucharitidae, Evaniidae, Mutillidae, Pompilidae, Crabronidae and Vespidae are presented here. On the whole, 366 wasps were collected representing 40 genera and 85 species. The genera Ephuta (Mutillidae), Trypoxylon (Crabronidae) and Conura (Chalcididae) were the most specious. The sites situated at the northern region of the PNSD, the intangible and primitive zones, were the most species rich. Some collected species were considered rare and about 65% of species were exclusive to only one site. This means that the samples have little faunal similarity.Fundação S.O.S

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost