Natural Communities Research Articles

Environmental Preservation Of Bromo Tengger Semeru National Park Using Green Marketing Strategy

The establishment of Bromo Tengger Semeru National Park as 10 Priority Tourism Destinations by the Ministry of Tourism, caused Bromo Tengger Semeru National Park to experience a significant increase in visits and also has implications for tourism development in Bromo Tengger Semeru National Park and its surroundings. This shows the weakness of natural tourism management whose success is only measured by the number of visitors. Green Marketing which is carried out sustainably is the result of corrections to the development of mass tourism which has had many negative impacts on the natural environment and local communities. This research aims to identify the impact of tourism on the environment, analyze the market, apply the marketing mix, and develop a Green Marketing strategy for preservation in Bromo Tengger Semeru National Park. Based on the results of the analysis, environmental impacts arise due to a lack of awareness from tourists and the community, a lack of human resources from managers, and mass tourism

Thermal tolerance and habitat preferences mediate how freshwater fish body sizes respond to warming

Recent studies have linked ecosystem warming to decreased mean body size in aquatic ectotherms but have often relied on experimental approaches. This study explores how climate change modifies adult body sizes in natural communities for five culturally, commercially, and recreationally important freshwater fish species that vary in thermal preferences (lake trout ( Salvelinus namaycush), lake whitefish ( Coregonus clupeaformis), walleye ( Sander vitreus), yellow perch ( Perca flavescens), and smallmouth bass ( Micropterus dolomieu)). Using data for >170 000 sampling records from >600 lakes spanning the entire province of Ontario, Canada, we employ a spatial analysis technique based on Integrated Nested Laplace Approximation to detect body size changes due to warming lake conditions. With warming conditions, cold-adapted species (lake whitefish) decreased in adult body size, while cool- and warm-adapted species (walleye and smallmouth bass) increased in adult body size. Our study, like others recently conducted in marine and freshwater systems, demonstrates that the responses of fish body sizes to warming are not a unidirectional shift and may be linked to the habitat and thermal preferences of individual fish species.

Host- plasmid network structure in wastewater is linked to antimicrobial resistance genes

As mobile genetic elements, plasmids are central for our understanding of antimicrobial resistance spread in microbial communities. Plasmids can have varying fitness effects on their host bacteria, which will markedly impact their role as antimicrobial resistance vectors. Using a plasmid population model, we first show that beneficial plasmids interact with a higher number of hosts than costly plasmids when embedded in a community with multiple hosts and plasmids. We then analyse the network of a natural host-plasmid wastewater community from a Hi-C metagenomics dataset. As predicted by the model, we find that antimicrobial resistance encoding plasmids, which are likely to have positive fitness effects on their hosts in wastewater, interact with more bacterial taxa than non-antimicrobial resistance plasmids and are disproportionally important for connecting the entire network compared to non- antimicrobial resistance plasmids. This highlights the role of antimicrobials in restructuring host-plasmid networks by increasing the benefits of antimicrobial resistance carrying plasmids, which can have consequences for the spread of antimicrobial resistance genes through microbial networks. Furthermore, that antimicrobial resistance encoding plasmids are associated with a broader range of hosts implies that they will be more robust to turnover of bacterial strains.

A Meta-Analysis of Treatment for Self-Injurious Behavior in Children and Adolescents With Intellectual and Developmental Disabilities.

Self-injurious behavior (SIB) among children and youth with developmental disabilities has not diminished in prevalence despite the availability of effective interventions, and the impact on quality of life for people and their families is devastating. The current meta-analysis reviews SIB intervention research between 2011 and 2021 using single-case experimental designs with children and youth up to 21 years old and provides a quantitative synthesis of data from high-quality studies including moderator analyses to determine effects of participant and study characteristics on intervention outcomes. Encouraging findings include a high level of effectiveness across studies in the decrease of SIB (Tau-U = -0.90) and increase of positive behavior (Tau-U = 0.73), as well as an increase in studies (relative to prior reviews) reporting intervention fidelity, generalization, maintenance, and social validity. However, our findings shed limited light on potential moderating variables in the development of interventions for children and youth who exhibit SIB. Of the potential moderators of intervention effects, only implementer (researcher/therapist vs. parent/caregiver) and setting (clinic vs. home) were significantly associated with improved outcomes. We discuss the need for more robust involvement of natural communities of implementers in SIB intervention research to better equip them to effectively and sustainably meet the needs of people they care for. We also discuss the importance of creating systems enabling broad access for children with SIB to effective interventions in service of reducing burden for people, families, and society over time.

Insect pollinator and natural enemy communities in green roof and ground-level urban habitats

Insect pollinator and natural enemy communities in green roof and ground-level urban habitats

High amino acid osmotrophic incorporation by marine eukaryotic phytoplankton revealed by click chemistry.

The osmotrophic uptake of dissolved organic compounds in the ocean is considered to be dominated by heterotrophic prokaryotes, whereas the role of planktonic eukaryotes is still unclear. We explored the capacity of natural eukaryotic plankton communities to incorporate the synthetic amino acid L-homopropargylglycine (HPG, analogue of methionine) using biorthogonal noncanonical amino acid tagging (BONCAT), and we compared it with prokaryotic HPG use throughout a 9-day survey in the NW Mediterranean. BONCAT allows to fluorescently identify translationally active cells, but it has never been applied to natural eukaryotic communities. We found a large diversity of photosynthetic and heterotrophic eukaryotes incorporating HPG into proteins, with dinoflagellates and diatoms showing the highest percentages of BONCAT-labelled cells (49 ± 25% and 52 ± 15%, respectively). Among them, pennate diatoms exhibited higher HPG incorporation in the afternoon than in the morning, whereas small (≤5μm) photosynthetic eukaryotes and heterotrophic nanoeukaryotes showed the opposite pattern. Centric diatoms (e.g. Chaetoceros, Thalassiosira, and Lauderia spp.) dominated the eukaryotic HPG incorporation due to their high abundances and large sizes, accounting for up to 86% of the eukaryotic BONCAT signal and strongly correlating with bulk 3H-leucine uptake rates. When including prokaryotes, eukaryotes were estimated to account for 19-31% of the bulk BONCAT signal. Our results evidence a large complexity in the osmotrophic uptake of HPG, which varies over time within and across eukaryotic groups and highlights the potential of BONCAT to quantify osmotrophy and protein synthesis in complex eukaryotic communities.

Structure and dispersion of the conjugative mobilome in surface ocean bacterioplankton.

Mobile genetic elements (MGEs), collectively referred to as the "mobilome", can have a significant impact on the fitness of microbial communities and therefore on ecological processes. Marine MGEs have mainly been associated with wide geographical and phylogenetic dispersal of adaptative traits. However, whether the structure of this mobilome exhibits deterministic patterns in the natural community is still an open question. The aim of this study was to characterize the structure of the conjugative mobilome in the ocean surface bacterioplankton by searching the publicly available marine metagenomes from the TARA Oceans survey, together with molecular markers, such as relaxases and type IV coupling proteins of the type IV secretion system (T4SS). The T4SS machinery was retrieved in more abundance than relaxases in the surface marine bacterioplankton. Moreover, among the identified MGEs, mobilizable elements were the most abundant, outnumbering self-conjugative sequences. Detection of a high number of incomplete T4SSs provides insight into possible strategies related to trans-acting activity between MGEs, and accessory functions of the T4SS (e.g. protein secretion), allowing the host to maintain a lower metabolic burden in the highly dynamic marine system. Additionally, the results demonstrate a wide geographical dispersion of MGEs throughout oceanic regions, while the Southern Ocean appears segregated from other regions. The marine mobilome also showed a high similarity of functions present in known plasmid databases. Moreover, cargo genes were mostly related to DNA processing, but scarcely associated with antibiotic resistance. Finally, within the MGEs, integrative and conjugative elements showed wider marine geographic dispersion than plasmids.

Pollen nutrition structures bee and plant community interactions.

As bees' main source of protein and lipids, pollen is critical for their development, reproduction, and health. Plant species vary considerably in the macronutrient content of their pollen, and research in bee model systems has established that this variation both modulates performance and guides floral choice. Yet, how variation in pollen chemistry shapes interactions between plants and bees in natural communities is an open question, essential for both understanding the nutritional dynamics of plant-pollinator mutualisms and informing their conservation. To fill this gap, we asked how pollen nutrition (relative protein and lipid content) sampled from 109 co-flowering plant species structured visitation patterns observed among 75 subgenera of pollen-collecting bees in the Great Basin/Eastern Sierra region (USA). We found that the degree of similarity in co-flowering plant species' pollen nutrition predicted similarity among their visitor communities, even after accounting for floral morphology and phylogeny. Consideration of pollen nutrition also shed light on the structure of this interaction network: Bee subgenera and plant genera were arranged into distinct, interconnected groups, delineated by differences in pollen macronutrient values, revealing potential nutritional niches. Importantly, variation in pollen nutrition alone (high in protein, high in lipid, or balanced) did not predict the diversity of bee visitors, indicating that plant species offering complementary pollen nutrition may be equally valuable in supporting bee diversity. Nutritional diversity should thus be a key consideration when selecting plants for habitat restoration, and a nutritionally explicit perspective is needed when considering reward systems involved in the community ecology of pollination.

Transcriptomics reveal a unique phago-mixotrophic response to low nutrient concentrations in the prasinophyte Pterosperma cristatum.

Constitutive mixoplankton-plastid-bearing microbial eukaryotes capable of both phototrophy and phagotrophy-are ubiquitous in marine ecosystems and facilitate carbon transfer to higher trophic levels within aquatic food webs, which supports enhanced sinking carbon flux. However, the regulation of the relative contribution of photosynthesis and prey consumption remains poorly characterized. We investigated the transcriptional dynamics behind this phenotypic plasticity in the prasinophyte green alga Pterosperma cristatum. Based on what is known of other mixoplankton species that cannot grow without photosynthesis (obligate phototrophs), we hypothesized that P. cristatum uses phagotrophy to circumvent the restrictions imposed on photosynthesis by nutrient depletion, to obtain nutrients from ingested prey, and to maintain photosynthetic carbon fixation. We observed an increase in feeding as a response to nutrient depletion, coinciding with an upregulation of expression for genes involved in essential steps of phagocytosis including prey recognition, adhesion and engulfment, transport and maturation of food vacuoles, and digestion. Unexpectedly, genes involved in the photosynthetic electron transfer chain, pigment biosynthesis, and carbon fixation were downregulated as feeding increased, implying an abatement of photosynthesis. Contrary to our original hypothesis, our results therefore suggest that depletion of inorganic nutrients triggered an alteration of trophic behavior from photosynthesis to phagotrophy in P. cristatum. While this behavior distinguishes P. cristatum from other groups of constitutive mixoplankton, its physiological response aligns with recent discoveries from natural microbial communities. These findings indicate that mixoplankton communities in nutrient-limited oceans can regulate photosynthesis against bacterivory based on nutrient availability.

Examining the Role of Intergenerational Relations in Food Systems: Evidence from Western India

Food systems and their normative goal of achieving food security remain a robust global agenda. However, with the shifts toward a sustainable food system, there is an increasing interest in consolidating evidence on multiple dimensions of the food system. This article is an empirically grounded argument for using intergenerational relations to expand understanding of food systems by looking beyond the usual security outcomes and emphasising social welfare outcomes. Drawing on ethnographic research in an indigenous village in western India, I examine a rural, local food system and the transformations therein because of various socio-economic drivers, including changing livelihood opportunities. Evidence shows growing generational solidarity, with some positive effects for environmental sustainability and for revaluing indigenous culture, including traditional food systems, and generating new local livelihoods. Simultaneously, though, tensions are being created around intergenerational autonomy and cultural expressions. Moreover, the food transition has resulted in a decline in the nutritional content of local diets, which has health implications. This article raises questions whether trends towards sustainability and resilience are necessarily mutually reinforcing for natural resource-dependent indigenous communities and our natural environment.

Role of Communal Consumptive Natural Resources Management Approach in Addressing Community Economic Benefit in Western Tanzania

The role of consumptive natural resources management in addressing community economic benefit in West Tanzania is much likely less known. This study was carried out to assess the impact of communal consumptive natural resources management on community economic benefit. A four-point numerical scale survey questionnaire was administered to 400 respondents, and an interview guide was administered to 40 Key Informants. Quantitative data were analyzed by SPSS, while qualitative data were analyzed by Excel framing summarizing technique. The research findings indicated that communal consumptive natural resources management had a close to strong correlation and significant positive impact on community economic benefit (CEB). The linear relationship between the communal natural resources management approach and community economic benefit (CEB)Pearson (r) covariance statistical relationship correlation coefficient result was Pearson -r (733) = .73, p<.001. The positive Pearson (r) above 0.7 implied that the relationship was a strong correlation. The impact of the communal natural resources management approach on community economic benefit (CEB) was calculated through multiple linear regression. Multiple linear regression coefficient B= 1.43 at 95% confidence interval (CI) = 1.34, 1.53; p=0.000. The result implied that an increase of one unit of the communal consumptive model was associated with a positive increase of 1.43 CEB. The positive increase in CEB suggests that the communal consumptive natural resources management approach significantly impacts community economic benefit (CEB). It is recommended that to maximize community economic benefit (CEB), communal consumptive natural resources management approaches should be focused on and given significant attention. Moreover, to maximize community economic benefit (CEB), an integrated hybrid combo of consumptive approaches such as sustainable timber, and non-consumptive approaches such as avoided deforestation and increased sequestration carbon credit is recommended for terrestrial natural resources management in western Tanzania.

Which cues are sexy? The evolution of mate preference in sympatric species reveals the contrasted effect of adaptation and reproductive interference.

Mate preferences may target traits (a) enhancing offspring adaptation and (b) reducing heterospecific matings. Because similar selective pressures are acting on traits shared by different sympatric species, preference-enhancing offspring adaptation may increase heterospecific mating, in sharp contrast with the classical case of so-called "magic traits." Using a mathematical model, we study which and how many traits will be used during mate choice, when preferences for locally adapted traits increase heterospecific mating. In particular, we study the evolution of preference toward an adaptive versus a neutral trait in sympatric species. We take into account sensory trade-offs, which may limit the emergence of preference for several traits. Our model highlights that the evolution of preference toward adaptive versus neutral traits depends on the selective regimes acting on traits but also on heterospecific interactions. When the costs of heterospecific interactions are high, mate preference is likely to target neutral traits that become a reliable cue limiting heterospecific matings. We show that the evolution of preference toward a neutral trait benefits from a positive feedback loop: The more preference targets the neutral trait, the more it becomes a reliable cue for species recognition. We then reveal the key role of sensory trade-offs and the cost of choosiness favoring the evolution of preferences targeting adaptive traits, rather than traits reducing heterospecific mating. When sensory trade-offs and the cost of choosiness are low, we also show that preferences targeting multiple traits evolve, improving offspring fitness by both transmitting adapted alleles and reducing heterospecific mating. Altogether, our model aims at reconciling "good gene" and reinforcement models to provide general predictions on the evolution of mate preferences within natural communities.

A tiny fraction of all species forms most of nature: Rarity as a sticky state.

Using data from a wide range of natural communities including the human microbiome, plants, fish, mushrooms, rodents, beetles, and trees, we show that universally just a few percent of the species account for most of the biomass. This is in line with the classical observation that the vast bulk of biodiversity is very rare. Attempts to find traits allowing the tiny fraction of abundant species to escape rarity have remained unsuccessful. Here, we argue that this might be explained by the fact that hyper-dominance can emerge through stochastic processes. We demonstrate that in neutrally competing groups of species, rarity tends to become a trap if environmental fluctuations result in gains and losses proportional to abundances. This counter-intuitive phenomenon arises because absolute change tends to zero for very small abundances, causing rarity to become a "sticky state", a pseudoattractor that can be revealed numerically in classical ball-in-cup landscapes. As a result, the vast majority of species spend most of their time in rarity leaving space for just a few others to dominate the neutral community. However, fates remain stochastic. Provided that there is some response diversity, roles occasionally shift as stochastic events or natural enemies bring an abundant species down allowing a rare species to rise to dominance. Microbial time series spanning thousands of generations support this prediction. Our results suggest that near-neutrality within niches may allow numerous rare species to persist in the wings of the dominant ones. Stand-ins may serve as insurance when former key species collapse.

Does weed diversity mitigate yield losses?

While intensive control of weed populations plays a central role in current agriculture, numerous studies highlight the multifaceted contribution of weeds to the functionality and resilience of agroecosystems. Recent research indicates that increased evenness within weed communities may mitigate yield losses in contrast to communities characterized by lower diversity, since weed species that strongly affect crop yields, also dominate weed communities, with a concurrent reduction of evenness. If confirmed, this observation would suggest a paradigm shift in weed management towards promoting higher community diversity. To validate whether the evenness of weed communities is indeed linked to higher crop productivity, we conducted two field experiments: one analyzing the effects of a natural weed community in an intercrop of faba bean and oat, and the other analyzing the effects of artificially created weed communities, together with the individual sown weed species, in faba bean, oats and an intercrop of both crops. The evenness of the weed communities ranged from 0.2 to 0.9 in the natural weed community, from 0.2 to 0.7 in faba bean, from 0 to 0.8 in the intercrop and from 0.3 to 0.9 in oats. Neither the natural nor the artificial weed community showed significant effects of evenness on crop grain yield or crop biomass. The results of this study do not validate a positive relationship of crop productivity and weed evenness, possibly due to low weed pressure and the absence of competitive effects but suggest that also less diverse weed communities may be maintained without suffering yield losses. This is expected to have far reaching implications, since not only diverse weed communities, but also higher abundances of few weed species may contribute to ecosystem functions and may support faunal diversity associated with weeds.

Warming and trophic structure tightly control phytoplankton bloom amplitude, composition and succession.

To better identify the responses of phytoplankton blooms to warming conditions as expected in a climate change context, an in situ mesocosm experiment was carried out in a coastal Mediterranean lagoon (Thau Lagoon, South of France) in April 2018. Our objective was to assess both the direct and indirect effects of warming on phytoplankton, particularly those mediated by top-down control. Four treatments were applied: 1) natural planktonic community with ambient water temperature (C); 2) natural planktonic community at +3°C elevated temperature (T); 3) exclusion of larger zooplankton (> 200 μm; mesozooplankton) leaving microzooplankton predominant with ambient water temperature (MicroZ); and 4) exclusion of larger zooplankton (> 200 μm; mesozooplankton) at +3°C elevated temperature (TMicroZ). Warming strongly depressed the amplitude of the phytoplankton bloom as the chlorophyll a concentration was twice lower in the T treatment. This decline under warmer conditions was most likely imputed to increase top-down control by zooplankton. However, removal of mesozooplankton resulted in an opposite trend, with a higher bloom amplitude observed under warmer conditions (MicroZ vs. TMicroZ) pointing at a strong interplay between micro- and mesozooplankton and the effect of warming for the spring phytoplankton blooms. Furthermore, both warming and mesozooplankton exclusion induced shifts in phytoplankton community composition during bloom and post-bloom periods, favoring dinoflagellates and small green algae at the expense of diatoms and prymnesiophytes. Moreover, warming altered phytoplankton succession by promoting an early bloom of small green flagellates, and a late bloom of diatoms. Our findings clearly highlighted the sensitivity of phytoplankton blooms amplitudes, community composition and succession patterns to temperature increases, as well as the key role of initial zooplankton community composition to elicit opposite response in bloom dynamics. It also points out that warmer conditions might favor dinoflagellates and small green algae, irrespective of zooplankton community composition, with potential implications for food web dynamics and energy transfer efficiency under future ocean condition.

Concerning the main directions of biological diversity ex situ and in situ conservation providing by the Botanical Garden of Samara University

The article presents information on the results achieved by the Botanical Garden of Samara University in the field of biological diversity conservation in ex situ and in situ directions. The composition of 4 parts of living plants collection in open ground and greenhouse, together estimated over 4.5 thousand of seed plants taxa, is briefly characterized. The information on the seed bank development is given, about the implementation of experimental rare plants reintroduction into natural communities. The results gained by integration of ground-based monitoring and RS data, including operational surveying of target plant communities using UAVs, is briefly described also.

Population links between an insectivorous bird and moths disentangled through national-scale monitoring data.

Insects are key components of food chains, and monitoring data provides new opportunities to identify trophic relationships at broad spatial and temporal scales. Here, combining two monitoring datasets from Great Britain, we reveal how the population dynamics of the blue tit Cyanistes caeruleus are influenced by the abundance of moths - a core component of their breeding diet. We find that years with increased population growth for blue tits correlate strongly with high moth abundance, but population growth in moths and birds is less well correlated; suggesting moth abundance directly affects bird population change. Next, we identify moths that are important components of blue tit diet, recovering associations to species previously identified as key food sources such as the winter moth Operoptera brumata. Our work provides new evidence that insect abundance impacts bird population dynamics in natural communities and provides insight into spatial diet turnover at a national-scale.

ФЛОРА ГАЗОНОВ ДЕМСКОГО РАЙОНА ГОРОДА УФЫ

121 species belonging to 28 families were registered in the flora of the studied lawns of the Demsky district. The richness and systematic diversity of the species composition of the lawns of the Demsky district is associated with the presence of lawns of different ages, different stages of anthropogenic degression and different environmental conditions. The predominance of hemicryptophytes over other life forms of flora indicates the connection of lawns with the flora of natural meadow communities, and a large number of therophytes and hemiterophytes indicate prolonged and intense anthropogenic impact, soil disturbance, trampling and lack of care, this is confirmed by the high participation in lawn communities of species of a wide range of hemerobia and typical ruderals. The degradation of the lawn flora towards poly-metahemerobility will continue in the absence of measures for the reconstruction of lawns and constant care of the herbage.

Design of wound vegetation restoration measures for upper and lower reservoir connecting road project of pumped storage power station in northwest cold and arid regions

Taking a pumped storage power station in the northwest cold and arid regions as an example, this paper summarizes the construction technology and method of wound vegetation restoration in the upper and lower reservoir connecting road project of pumped storage power station in the northwest cold and arid regions, as well as the system of measures including the selection of suitable plants, the design of soil covering engineering, the design of plant measures and the construction technology. The soil covering engineering and plant measures were designed according to different wound types. The soil preparation of the Yurian pit and the ridge outside the pit were constructed with planting bags, arbor and shrubs were planted inside the pit, Picea asperata Mast. was selected for arbor and Juniperus sabina L. for shrubs, and forest vegetation blanket was used on the upper slope with a gentle slope, and shrubs and grass seeds were mainly planted with Poa annua L., Stipa capillata L. and Artemisia frigida Willd. The above vegetation restoration measures were designed. It greatly reduces soil and water loss in the reservoir area, improves vegetation coverage in the reservoir area, and enriches plant diversity, making the wound surface of the upper and lower reservoir connecting road of pumped storage power station gradually restore to the natural environment plant community state before the destruction.

Forest fire detection system

Forest fires present significant threats to both natural ecosystems and human communities, highlighting the need for advanced detection systems for early intervention and mitigation. This paper aims to develop a novel forest fire detection system by integrating Internet of Things technology, machine learning algorithms, and real-time data from weather APIs. The proposed system utilizes IoT sensors to gather environmental parameters and weather conditions, enhancing the accuracy of fire detection. A machine learning model trained on this data distinguishes between normal environmental fluctuations and signs of fire. Additionally, an image processing algorithm is employed to analyze images for the presence of smoke or flames. Integration and testing of the system demonstrate its promising results in terms of accuracy and efficiency compared to traditional methods. This paper contributes to technology-driven solutions for forest fire management, with significant implications for environmental conservation and public safety.