Occurrence Of Species Research Articles

Межэкотопические различия в видовом составе растительных сообществ с низким и высоким участием доминирующих видов

Межэкотопические различия в видовом составе растительных сообществ с низким и высоким участием доминирующих видов

Angels on the head of a pin: the occurrence and co-existence of clausiliid species in Europe

Angels on the head of a pin: the occurrence and co-existence of clausiliid species in Europe

A Review of Phototoxic Plants, Their Phototoxic Metabolites, and Possible Developments as Photosensitizers.

This study provides a comprehensive overview of the current knowledge regarding phototoxic terrestrial plants and their phototoxic and photosensitizing metabolites. Within the 435,000 land plant species, only around 250 vascular plants have been documented as phototoxic or implicated in phototoxic occurrences in humans and animals. This work compiles a comprehensive catalog of these phototoxic plant species, organized alphabetically based on their taxonomic family. The dataset encompasses meticulous details including taxonomy, geographical distribution, vernacular names, and information on the nature and structure of their phototoxic and photosensitizing molecule(s). Subsequently, this study undertook an in-depth investigation into phototoxic molecules, resulting in the compilation of a comprehensive and up-to-date list of phytochemicals exhibiting phototoxic or photosensitizing activity synthesized by terrestrial plants. For each identified molecule, an extensive review was conducted, encompassing discussions on its phototoxic activity, chemical family, occurrence in plant families or species, distribution within different plant tissues and organs, as well as the biogeographical locations of the producer species worldwide. The analysis also includes a thorough discussion on the potential use of these molecules for the development of new photosensitizers that could be used in topical or injectable formulations for antimicrobial and anticancer phototherapy as well as manufacturing of photoactive devices.

Clarification of ambiguous genus records for Australian Cleridae (Coleoptera: Cleroidea).

The status of the genera Balcus Sharp, Gastrocentrum Gorham, Korynetes Herbst, Solervicensia Barr, Monophylla Spinola and Thanasimus Latreille in Australia is assessed based on review of dubious or ambiguous published Australian records of the following species-group taxa: Balcus violaceus (Fabricius), a New Zealand species listed as Australian by Schenkling (1906); Gastrocentrum dux (Westwood), described from Australia by Westwood (1853); Korynetes abdominalis (Fabricius), an Indian species listed as Australian by Schenkling (1906); Korynetes coeruleus (De Geer), a Palearctic species with a synonym, Corynetes unicolor Chevrolat, 1876, described from Australia; Monophylla terminata (Say), a North American species with a synonym, Elasmocerus picticollis Blackburn, 1901, described from Australia; Solervicensia ovata (Spinola), a South American species with two synonyms (one newly proposed) described from Australia, viz. Labasiella duboulayi Pic, 1950, and Korynetes nigrosignatus Pic, 1941 new synonym; and Thanasimus dubius (Fabricius), a North American species introduced to Australia for the biological control of Ips grandicollis (Eichhoff) (Scolytinae). All six of the abovementioned genera are deemed absent from Australia due to the lack of evidence for the occurrence of representative species within the Australian political region.

Динамика нижних ярусов растительного покрова в антропогенно нарушенных сосновых ценозах Красноярской лесостепи

The dynamics of the understorey vegetation cover in anthropogenically transformed cenoses of common pine (Pinus sylvestris L.) in the period 2017–2020 was studied. The studies were conducted in a diverse herbaceous group of forest types of natural origin in the Krasnoyarsk forest-steppe zone. The forest stands are characterized by I–IV classes of bonitet, density 0.5–0.9 and IV–VII class of age. Vegetation cover was studied at each monitoring site on 30 (1 m2) survey plots: species composition, projective cover, species occurrence, horizontal and vertical structure of phytocenosis. The intensity of change in species composition over a 4-year period was identified using the Serensen-Chekanovsky coefficient. Species diversity was assessed using Shannon index, recreational transformation of living ground cover – synanthropization index. Based on the results of the study, the species composition of the undergrowth and living ground cover was determined, and the features of its change in the period 2017–2020 were described. Based on the analysis of changes in species diversity, composition and projective cover of dominants and co-dominants, quantitative ratio of ecological and cenotic groups, the stages of recreational transformation of the ground cover were determined. As a result of the increased recreational load, the stage of recreational transformation of the vegetation cover changed: in sample area 1 from undisturbed to the 1st (initial) phase I stage (weak transformation), in sample area 3 – from the 1st to the 2nd (final) phase I stage. Due to the absence of anthropogenic influence, the undisturbed vegetation cover was preserved in sample area 4, whereas in sample areas 2 and 5, due to the constant recreational load, the 2nd phase I stage of vegetation cover transformation observed in 2017 remained. To reduce the impact on the lower tiers of vegetation under the canopy of pine plantations (sample areas 1–3) and to preserve its species diversity, it is possible to recommend the arrangement of a specific road-trail network. For citation: Goncharova I.A., Skripalschikova L.N., Barchenkov A.P. Dynamics of Understory Vegetation Cover in Anthropogenically Disturbed Pine Cenoses of Krasnoyarsk Forest-Steppe. Lesnoy Zhurnal = Russian Forestry Journal, 2023, no. 6, pp. 204–214. (In Russ.). https://doi.org/10.37482/0536-1036-2023-6-204-214

Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data

AbstractCamera trapping has revolutionized wildlife ecology and conservation by providing automated data acquisition, leading to the accumulation of massive amounts of camera trap data worldwide. Although management and processing of camera trap‐derived Big Data are becoming increasingly solvable with the help of scalable cyber‐infrastructures, harmonization and exchange of the data remain limited, hindering its full potential. There is currently no widely accepted standard for exchanging camera trap data. The only existing proposal, “Camera Trap Metadata Standard” (CTMS), has several technical shortcomings and limited adoption. We present a new data exchange format, the Camera Trap Data Package (Camtrap DP), designed to allow users to easily exchange, harmonize and archive camera trap data at local to global scales. Camtrap DP structures camera trap data in a simple yet flexible data model consisting of three tables (Deployments, Media and Observations) that supports a wide range of camera deployment designs, classification techniques (e.g., human and AI, media‐based and event‐based) and analytical use cases, from compiling species occurrence data through distribution, occupancy and activity modeling to density estimation. The format further achieves interoperability by building upon existing standards, Frictionless Data Package in particular, which is supported by a suite of open software tools to read and validate data. Camtrap DP is the consensus of a long, in‐depth, consultation and outreach process with standard and software developers, the main existing camera trap data management platforms, major players in the field of camera trapping and the Global Biodiversity Information Facility (GBIF). Under the umbrella of the Biodiversity Information Standards (TDWG), Camtrap DP has been developed openly, collaboratively and with version control from the start. We encourage camera trapping users and developers to join the discussion and contribute to the further development and adoption of this standard.

Background selection complexity influences Maxent predictive performance in freshwater systems

Absence data are often lacking for species distribution modeling (SDM) purposes. This necessitates selecting background or pseudo-absence observations that influence SDM performance. Little is understood about how background selection affects SDM prediction in lotic systems. Here we test six background selection methods that implement different combinations of three selection filters concerning 1) sampling biases in species occurrence data, 2) geographic restriction to regions accessible to the species modeled, and 3) species occurrence relative to stream size, a key habitat factor. These six methods are used with Maxent to develop binary presence-absence predictions of 71 freshwater mussel distributions in the Midwestern United States. Prediction accuracy was evaluated with a separate validation presence-absence dataset derived from intensive surveys. Pairwise comparisons of background selection methods across species recorded in the validation dataset revealed significant differences relative to the Area Under Curve (AUC), the similarity between the prediction and observation, and the True Skill Statistic (TSS) metrics. The prediction specificity for those species absent in the validation dataset was also significantly affected by the background selection method. Implementing the sampling bias filter increased prediction similarity with validation data, AUC and TSS for species with validation presences, as well as prediction specificity for species without validation presences. Our results provide much needed insight into how background selection influences presence-background SDM performance in lotic systems. These findings can guide how to leverage available data and biological understanding to produce accurate SDM predictions that prioritize research objectives and goals regardless of study system or habitat.

Redescription and Molecular Characterisation of Derogenes ruber Lühe, 1900 (Hemiuroidea: Derogenidae) from Chelidonichthys lastoviza (Scorpaeniformes: Triglidae) in the Western Mediterranean

PurposeDerogenes ruber Lühe, 1900, the type-species of the genus Derogenes Lühe, 1900, is a poorly known derogenid digenean. The original description of this species was not illustrated and aspects of the morphology of the parasite from the type-host remain scarce. Available records of this species were brief and/or lacked illustrations and were based on morphology alone. Additionally, molecular data for Derogenes spp. are warranted to untangle species complexes as they provide a better assessment of interspecific genetic divergence.MethodsDerogenes ruber is redescribed based on newly collected specimens from the gall bladder of its type-host Chelidonichthys lastoviza (Bonnaterre, 1788) collected in the Western Mediterranean off the Algerian coast during 2017–2019 and molecular data are provided using a partial fragment of the nuclear 28S ribosomal RNA gene (28S rRNA), the internal transcribed spacer 2 (ITS2) and a fragment of the mitochondrial cytochrome c oxidase subunit 1 (cox1) gene.ResultsWe herein provide a detailed illustrated redescription and morphometric data of D. ruber from its type-host C. lastoviza. We report a new geographical record (off Algeria) for it. Derogenes ruber is also genetically characterised for the first time. Species/lineages of Derogenes were recovered in five strongly supported reciprocally monophyletic clades: (i) D. ruber from C. lastoviza off Algeria; (ii) D. lacustris from Galaxias maculatus (Jenyns) off Argentina; (iii) Lineage “D. varicus DV1” (D. varicus sensu stricto) from fish hosts in the White and Barents seas and the North Sea; (iv) Lineage “D. varicus DV2” from mollusc hosts in the White Sea; and (v) Lineage “D. varicus DV3” from Eumicrotremus fedorovi Mandrytsa. in the Pacific Ocean. Hence, comparison of the newly generated sequences with other available data for Derogenes species supports the distinction of D. ruber confirming its taxonomic status and helping assess interspecific variation. Comparison of D. ruber with the closely related species Derogenes latus revealed overlaps in morphometric data and the validity of the latter species is questioned.ConclusionThe combination of morphological and molecular data provided for D. ruber provides a firm foundation for further investigations of Derogenes spp. Although we do describe herein material of D. ruber from the type-host, given that the occurrence of a single Derogenes species in various hosts has been challenged by molecular data, and both D. lacustris and D. varicus sensu stricto had been genetically proven to occur in various hosts, D. ruber and D. latus may be indeed synonymous. Additional sequencing effort on Derogenes spp. will strengthen systematic comparative studies and evolutionary relationships within the Derogenidae in general.

In search of generality: Revised distribution data and regionalization of Cerrado endemic tetrapods

AbstractAimTo search for a general regionalization pattern using verified records of endemic terrestrial vertebrates. To test previous hypotheses of congruent distribution patterns for Cerrado biotas. To study the role of elevation as a driver of endemism and distribution in the Cerrado region.LocationCerrado domain, central South America.TaxonTetrapoda.MethodsWe used a species occurrence matrix to implement a biotic element (BE) analysis to test for non‐random spatial congruence of raw distributions of Cerrado endemic amphibians, reptiles, birds and mammals. We implemented a Kruskal–Wallis test on elevational records to classify species as occurring predominantly in plateaus or depressions, and to classify all delimited BEs in such categories.ResultsWe compiled and revised 13,800 unique distribution records of 340 Cerrado endemic tetrapods and detected a significant, non‐random co‐distribution pattern formed by 29 BEscomprising 182 species, corroborating the first general prediction of the vicariant model. Most BEs were composed of at least three vertebrate groups, reflecting general tetrapod endemism patterns. Congeneric species were segregated among different BEs, corroborating the second prediction of the vicariant model. Our regionalization scheme was broadly congruent with previous results and revealed three previously undetected areas. Most (89%) partial or restricted BEs are clearly segregated in elevation, and we recognized 14 ‘Plateau units’ and 12 ‘Depression units’.Main ConclusionsOur results support an emergent consensual biotic regionalization pattern in the Cerrado. We also revealed three novel regions and complex biogeographical patterns. The clear altitudinal segregation among BEs validates previous hypotheses on the role of geomorphological changes in shaping Cerrado and Neotropical endemism patterns. Our recovered units should serve as a template for the description of new taxa, for delimiting poorly studied ranges, and for guiding urgent conservation action in the richest and most imperilled tropical savanna in the globe.

Spatial and temporal representation of marine fish occurrences available online

Despite the 243,000 marine species described by 2022, our knowledge about the oceanic biodiversity is still incomplete. This knowledge gap carries potentially adverse and far-reaching consequences for the preservation of marine ecosystems, particularly in the context of the ongoing human-induced alterations to our biosphere and the rapid progression of climate change and global environmental shifts.Recently, however, a large number of online repositories have emerged, which catalogue, store and distribute biodiversity information, including taxonomic and species occurrence data. FishBase, the Global Biodiversity Information Facility (GBIF) and the Ocean Biodiversity Information System (OBIS) are part of these publicly available repositories representing a variety of sources that have exploded in number. However, despite the incredible accumulation of biodiversity records, not all the information is actually useful, nor does it represent any new knowledge regarding global species richness patterns.In this study, we assessed the spatial and temporal representativeness of marine fish records (order Actinopterygii) found in the GBIF and OBIS global repositories. The methodological framework that we developed relies on a series of non-parametric estimators for computing species richness from incidence data. This methodology employs hexagonal grids as sampling units that overlay marine bioregions across the globe.Using standard ecological and spatial analysis tools, we identify regions that are adequately represented in terms of available records and therefore have more reliable data, as well as regions with few records that do not represent current species richness. We overlap these results with the location of marine protected areas and fishing exploitation zones to understand the anthropogenic effect on marine ichthyofauna. We additionally evaluate hypotheses regarding the taxonomic, geographic, and temporal distribution of information biases to deepen our current understanding of public records of species occurrences worldwide.Considering that more than 40 years of information was analyzed, the results showed that, on a global scale, the primary data on marine fish available on GBIF and OBIS platforms are still far from being representative and complete. Only 1.14% of the records were useful for our analyses. In addition, we found that the information seems to be biased towards coastal areas, regions close to developed countries, and areas where there is a large fishing activity. Finally, the best represented species and families are those with a small body size, which use shallow habitats and are usually recognized as having commercial or cultural value.

The last and endangered maned wolves (Chrysocyon brachyurus) from southern Brazil and Uruguay: new records and spatial distribution modeling

ABSTRACTThe biggest canid in the neotropics, the maned wolf (Chrysocyon brachyurus), is endangered in many parts of its distribution. Only eight records have been reported for Uruguay and the southern border of Brazil over the last 30 years. After a multi-year effort, we present nine new records for this area and characterize Uruguay and southern Brazil’s habitat suitability. Our records confirm the current presence of the species in Uruguay, the Brazilian Pampa, and the Atlantic highlands of southern Brazil, although no local population could be identified. Individuals appear to move in an erratic pattern, possibly when searching for other members of the species. Only three regions presented multiple records (all in the Atlantic highlands), indicating the possible existence of local populations. Although most of southern Brazil and Uruguay are highly suitable for the species, none of the 21 surveyed areas (with 50,816 camera trap nights) within putative distribution areas have confirmed the species occurrence, as all records reported here came from opportunistic encounters. In light of this, we believe that very few individuals still occur in the southern limit of the maned wolf distribution, and thus, the species can certainly be classified as critically endangered in the Brazilian Pampa/Uruguayan Savanna.

Implications of a local flora survey for pre‐human grass flora in north‐western Madagascar

Societal Impact StatementMadagascar's children are taught that their ancestors destroyed the vast ancient forest, giving rise to modern grasslands, a misleading myth that continues to undermine people's relationship with nature. Replacing this myth with a more nuanced and accurate narrative around grassy ecosystems is fundamental to building a more positive relationship between Madagascar's people and ecosystems, a process that is necessary to build modern conservation practice and environmental governance. The data we present are consistent with a pre‐human grass flora in the region, suggesting the local grassy ecosystems should not be written off as fully anthropogenic and undesirable but are instead in need of recognition and further research attention.Summary Grassy ecosystems cover over a quarter of dry land, with mosaics of old‐growth and recently formed anthropogenic systems appearing superficially similar to an uninformed observer. Grasses are part of a deep web of historic relationships between grassy ecosystems and local people. We collect and compile the first list of grass species (Poaceae) in north‐west Madagascar in order to make an initial evidence assessment for a pre‐human grass flora. Field surveys and voucher specimen collections were carried out. Specimen identification was performed using morphological character comparison with reference specimens, literature and personal knowledge of grasses from other parts of Madagascar. Seventy species are recorded and assigned to 44 genera. The species list is compared with regional grass checklists from central and south‐central Madagascar. Thirty‐five grasses are unique to Mahajanga, comprising 19% of the multi‐region species pool analysed; the regional species richness is comparable to that of the highlands. The main subfamilies represented are the Panicoideae (64%) and Chloridoideae (29%). Seven species are endemic to Madagascar, reflecting their evolutionary origins on the island. Many of the species are found in multiple types of habitat and substrate, while others are restricted to limited areas and habitats, and local species richness varies significantly with habitat and soil. The main disturbance regimes driving species occurrence include fire and grazing, possibly partly reflecting similar disturbances prior to human arrival. The patterns observed in the grass flora of north‐western Madagascar are overall congruent with a pre‐human grass flora.

Using opportunistic data to study the distribution and abundance of a warm water elasmobranch at the northern edge of its range

Abstract Detecting changes in the distribution and abundance of marine species that are cryptic or occurring in very low abundances is difficult, but essential for assessing their status and informing management. One way of quantifying these changes is through the collation of opportunistic records. We reconstruct the population trajectory and distribution of the common stingray Dasyatis pastinaca around Great Britain, using opportunistic records, mostly obtained by recreational anglers. We tested if D. pastinaca declined in abundance and body size in response to fishing and if their distribution has shifted northwards in response to warming seas. We obtained 518 records covering the period 1838–2020. After correcting for observation effort, D. pastinaca catches reported by anglers showed no long-term trend over 50 years, but decreased from 1970 to 1995 and an increase in abundance since 1995. While records of species occurrence were found around much of Great Britain, nearly all were from south of 54° latitude, and records have contracted southwards since 2000. No trend in maximum size through time was detected. In conclusion, we did not find support for the hypothesized declines in abundance and body size or a northward shift in distribution of D. pastinaca and instead found a southward contraction.

Social information modifies the associations between forest fragmentation and the abundance of a passerine bird

Habitat loss and fragmentation are the main factors driving the occurrence and abundance of species in the landscape. However, the local occurrence and abundance of species may also depend on conspecific and heterospecific social information e.g. clues of animals’ presence or their voices. We investigated the impact of the interaction between different types of social information and forest fragmentation on the abundance of the song thrush, Turdus philomelos, in Central Europe. Three types of social information (attractive, repulsive, and mixed) and procedural control were broadcasted via loudspeakers in 150 forest patches that varied in size and isolation metrics. Repulsive social information (cues of presence of predator) decreased abundance of song thrush. Also, the repulsive social information changed the association between forest patch isolation, size and the abundance. Attractive social information (songs of the studied thrush) had no effect on song thrush abundance. However, the attractive social information reversed the positive correlation between habitat patch size and the abundance. Mixed social information (both repulsive and attractive) had no impact on the abundance nor interacted with habitat fragmentation. The observed effects mostly did not last to the next breeding season. Overall, our findings indicate that lands of fear and social attraction could modify the effect of habitat fragmentation on the species abundance but these effects probably are not long-lasting.

Optimising carbon fixation through agroforestry: Estimation of aboveground biomass using multi-sensor data synergy and machine learning

As agricultural land expansion is the primary driver of deforestation, agroforestry could be an optimal land use strategy for climate change mitigation and reducing pressure on forests. Agroforestry is a promising method for carbon sequestration. With recent advancements in geospatial and data science technology, the ability to predict aboveground biomass (AGB) and assess ecosystem services in agroforestry is rapidly expanding. This study was conducted in the Belpada Block of Balangir, Odisha, a forest-dominated region of eastern India. We recorded species occurrence and measured plant parameters, including Circumference at Breast Height (CBH), height, and geolocation, in 196 plots (0.09 ha) in agroforestry intervention sites and noted the tree species. This study used Sentinel-1 and Sentinel-2 multi sensor data to achieve data synergy in AGB estimation. Three machine learning models were used: Random Forest (RF), Support Vector Machine (SVM), and Artificial Neural Network (ANN). The RF model exhibited the highest level of prediction accuracy (R2 = 0.69 and RMSE = 17.07 Mg/ha), followed by the ANN model (R2 = 0.63 and RMSE = 19.35 Mg/ha), SVM model (R2 = 0.54, RMSE = 21.97 Mg/ha. The spectral vegetation indices that are (Normalized Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI), Enhanced Vegetation Index (EVI), Modified Simple Ratio (MSR), Modified Soil-Adjusted Vegetation Index (MSAVI), Difference Vegetation Index (DVI), and SAR backscatter values, were found important variables for AGB prediction. The findings revealed that agroforestry interventions and plantations resulted in an average carbon stock increase of 15 Mg/ha over five years in the study area. The Plant Value Index (PVI), which indicates the importance of species in the local economy and biomass carbon storage, showed that Tectona grandis was the dominant species with the highest PVI value (88.35), followed by Eucalyptus globulus (56.87), Mangifera indica (53.75), and Azadirachta indica (15.45). This approach enables the expansion of monitoring efforts to assess carbon stock in agroforestry systems, thereby promoting effective management strategies.

Practical guide for retaining correlated climate variables and unthinned samples in species distribution modeling, using random forests

Species distribution models contain bias, or inaccurate predictions, due to predictors and species occurrences. Collinearity of predictor variables is a concern limited to standard error of estimates for data models, although issues remain about identification of important variables and model transferability, whereas thinning of species occurrences is not likely to improve samples without information about species characteristics. Here, I present a case study of selection of correlated climate variables and thinning of species samples for distributions of 80 tree species in North America, modeled with random forests. Robust important variable identification and temporal transferability with correlated climate variables by random forests was displayed by 1) greatest accuracy with all 14 input predictor variables, at 0.99 sensitivity and 0.97 specificity, whether from current or future climate, compared to variable selection approaches to reduce correlation, 2) greater accuracy for two variable models from foremost ranked important variables than least important variables, 3) models with more than two fixed input variables agreed on the four most important variables, 4) models with all 14 input variables from current and future climates identified the same five most important variables, and 5) mapped models of current species observations were similar with use of current or future climates. Unconstrained distributions were apparent in mapped models with only one preselected temperature and precipitation variable. Thinning samples produced no clear benefits to unthinned samples. Following standard guidelines to remove correlated variables before modeling will result in information loss and may lead to incorrect omission of relevant variables, at least with random forests. Predictive modeling is a practical approach for informing variable selection, including retention of correlated climate variables, which create a reliable basis for accurate predictions.

Temperate rocky reef fish community patterns in a coastal marine protected area (MPA) from northern Chile, utilizing remote underwater video cameras (RUVs)

Shallow water seascapes are complex systems, important for the life history and connectivity of many marine fish species. Remote Underwater Video cameras (RUVs) are an increasingly used, non-lethal technique able to record the occurrence of reef fish species with little disturbance. In this study, RUVs were installed in a Marine Protected Area (Chañaral Island, northern Chile, 29°2'S, 71°34'W) at three different depth strata (5, 10, 15 m) in three different habitats (sand and boulder, bedrock, and kelp forest) during October 2018, July 2021 and October 2021. The RUV system recorded a total of 20 species belonging to 16 families over 73.5 h of videotaping. The most recurrent fishes were damselfish Chromis crusma, Chilean sandperch Pinguipes chilensis, and marblefish Aplodactylus punctatus. There was a significant difference in fish assemblage composition among depth strata and seasons, but not among habitats. In July 2021 (austral winter) higher densities of small cryptobenthic fish (Helcogrammoides spp.) and medium-sized carnivorous Chirodactylus variegatus were detected, whereas P. chilensis was associated to the deeper stratum, and the herbivorous blenny Scartichthys viridis was related to the shallower depths, which is likely due to differences in the habitat structure and composition. Winter 2021 showed a higher species richness than in spring 2018, while the evenness (Pielou’s J’) was significantly higher in spring 2018 than winter/spring 2021. There was no other strong or consistent pattern, which suggests that most fish species use the entire depth gradient throughout the year. Finally, the results suggest that the use of RUVs for the estimation of biodiversity of rocky reef fishes is a cost-effective way to improve our understanding of nearshore community shifts in relation to environmental forcing.

Performance of environmental DNA metabarcoding to identify and quantify benthic organisms in river ecosystems

Our lack of fundamental knowledge about species occurrence, abundance, distribution, threats, and habitat requirements makes it challenging to conserve biodiversity in the face of rising human pressure. To obtain this information, practical and sensitive methods are required to identify and quantify the occurrence and diversity of rare, cryptic, and elusive species. Environmental DNA (eDNA) is a new technology that can help to discover and quantify biodiversity by addressing some of the limitations of conventional surveys. This study aimed to evaluate the biodiversity and composition of benthic species in the Lower Ciliwung River, Jakarta, Indonesia. The investigation was conducted from upstream to downstream of the river at the three sites during the dry season (July 2022). The DNA read sequences were used to examine the composition, relative abundance, and diversity of the samples. In this study, 1,492,975 initial reads were filtered down to 1,265,307 reads belonging to 27 species of benthic organisms. The taxa identified from the eDNA samples revealed that the most frequently detected species belonged to the family Siboglinidae, order Sabellida, and class Polychaeta. The composition of benthic species discovered in the eDNA water samples varied substantially (p ≤ 0.05). Osedax sp. (class Polychaeta) was the most prevalent species across all locations. The diversity index (H) ranged from low to moderate. eDNA offers potential advantages, but is hampered by DNA degradation, primer sensitivity, and the inability to distinguish between dead and living organisms.

Diptera Pests Occurring on Vegetable Crops in Poland

Abstract In Poland, the share of Diptera in the species composition of the harmful entomofauna occurring on vegetable crops ranges from 20 to 25%. They occur on all vegetables grown in Poland (over 80 species and botanical varieties). Since the systematic registration of pests inhabiting crops in Poland in 1919, over 70 species of flies have been listed as pests of vegetable plants. Species from three families dominate in terms of population and numbers: Anthomyiidae with 12 species (Delia radicum, on early and late cultivars of cruciferous vegetables, mainly broccoli, cauliflower, white cabbage, kohlrabi, and radishes; Delia platura occurs annually on bean and cucumber; Delia antiqua on onion and garlic; and Pegomya hyoscyami on beetroot), Cecidomyiidae with 10 species (two species dominate, Contarinia nasturtii and Dasineura napi, on cruciferous vegetables), and Agromyzidae with 23 species (Liriomyza bryoniae on cucumbers, tomatoes, and peppers, and Phytomyza gymnostoma on leeks). Short-term, gradational occurrence of some dominant species was found, including Botanophila gnava (lettuce), Chamaepsila rosae (carrot, parsley), Delia platura (asparagus, bean), Delia radicum (broccoli, cauliflower, kohlrabi, radishes, white cabbage), Phytomyza gymnostoma (leek), Oscinella frit (corn), and Suillia lurida (garlic). However, they did not affect the level of plant production in the following years of cultivation. Apart from phytophagous species, taxa with a different trophic structure are common. These are copro-, necro-, sapro-, and zoophagous species. The most numerous were flies from the Drosophilidae family (Drosophila busckii, Drosophila limbata, Scaptomyza pallida, Fanniidae (Fannia canicularis, Fannia scalaris), Heleomyzidae (Tephrochlamys tarsalis), and Muscidae (Muscina levida, Muscina stabulans, Phaonia trimaculata). Natural enemies of insects play an important role in vegetable agrocenoses. Species belonging to the order of Coleoptera beetles (Carabidae and Staphylinidae), Syrphidae, Tachinidae, and Muscidae, mainly Phaonia trimaculata larvae, play the most important role in reducing the number of Diptera. In addition, the number of phytophages is limited by other organisms, e.g., Diplopoda, Nematoda, Arachnida, and pathogens of viral, bacterial, and fungal origin.

Inundation impacts on diversified pasture biomass allocation and soil particulate organic matter stocks

AbstractNatural soil inundation caused by frequent and intense precipitation affects carbon allocation in grassland biomass, ultimately leading to changes in soil carbon storage. Increasing forage diversity could provide resiliency to inundation of grassland. The objective was to evaluate forage and root biomass and C and N stocks in the soil particulate organic matter (POM) from pastures under recurring short‐term inundation. Three forage species combinations were evaluated in an inundated (typically lasting for a few days after heavy rain events) and a non‐inundated pasture: (1) predominantly tall‐fescue (Festuca arundinacea Schreb.); (2) mixture of cool‐season perennials composed of tall‐fescue, orchardgrass (Dactylis glomerata L.), bluegrass (Poa pratensis L.) and white (Trifolium repens L.) and red clover (Trifolium pratense L.); (3) and cool‐season mixture of perennials overseeded with oats (Avena strigosa Schreb.) and rye (Secale cereale L.). Roots and forage biomass were sampled during the growing seasons of 2021 and 2022. Soil POM was evaluated 2.5 years after establishment. Inundation reduced forage and root biomass mainly during periods of higher inundation frequency, leading to lower C‐POM stocks (p < .05). Inundation caused a shift in the forage botanical composition, that is, higher occurrence of weeds and less productive grass species with shallow roots. The perennial cool‐season mixture did not increase forage yield compared with tall fescue only but did increase root mass. This occurred mainly at deeper layers and, consequently, increased C‐POM stocks (p < .05). Overseeding of winter annuals reduced overall forage production, despite increasing spring biomass when inundated in the first year, but reduced C and N‐POM stocks (p < .05). Perennial cool‐season forage mixtures can increase the resilience of pastures to inundation events and contribute to increased carbon sequestration in grasslands where inundation is prevalent.