Biological Quality Indicators Research Articles

Effects of conservation agriculture technologies on soil macrofauna community attributes in rainfed agriculture system

AbstractInappropriate rainfed crop management, especially wrong tillage and crop residue management, led to reduce the diversity of soil biological quality, especially soil macrofauna community, in semiarid region. This study was conducted to investigate the effect of 5 year conservation agriculture operation techniques on the quality and the diversity indices of soil macrofauna community in the rainfed lands in the west of Iran. This experiment was carried out in the statistical format of split‐split plots based on a randomized completely block design with three replications. The main treatments include control or conventional tillage, compound tillage, chisel tillage, and direct cultivation (no tillage) with three sub‐treatments of plant residues (no residues, one‐third, and two‐thirds of plant residues) in rainfed wheat (Triticum aestivum) rotation with rainfed chickpea (Cicer arietinum). Changes in soil biological quality indicators, such as soil microbial respiration were measured. Also, the indicators related to the population of soil macrofauna, including biodiversity index, uniformity index, and species richness, were measured and the effect of treatments on the measured indicators were compared with the classical statistical method of analysis of variance and Duncan's mean comparison test. The results showed that conservation agricultural treatments, including no‐tillage treatment, have led to significant increase of 19% and 15% of macrofauna biodiversity index in wheat and chickpea, respectively. Also, keeping one‐third of the wheat residues has led to an 18% increase in the biodiversity index of the soil macrofauna during the evaluation period. Biodiversity index and taxonomic richness of soil macrofauna were generally higher in the years of wheat than chickpea, and on the contrary, the species uniformity index of soil macrofauna biological community was higher in chickpea than wheat.

Biological Indicators of Resilience in Mixed and Monoculture Musaceae Production Systems

Objective: To examine the impact of intraspecific diversity on the biological resilience and biodiversity of Musaceae production systems against pests and diseases in the Ecuadorian tropics, thereby improving the environmental sustainability of these agricultural systems. Theoretical Framework: Key concepts such as biological resilience, intraspecific diversity of Musaceae, and their relationship with soil health and pest and disease control were explored. The importance of mixed production systems versus monocultures in Musaceae agriculture was discussed. Method: An experimental design with completely randomized blocks was adopted in two locations (El Carmen and La Maná), comparing mixed and monoculture production systems. Three repetitions were used to collect data on the presence of arthropods, earthworms, and soil microorganisms, evaluating their diversity and quantity as indicators of biological resilience and environmental quality. Results and Conclusions: Mixed systems demonstrated greater biodiversity, particularly in the presence of Collembola, earthworms, and various beneficial microorganisms, indicating higher resilience and soil health compared to monocultures. Intraspecific diversity in mixed systems significantly contributes to the sustainability and resilience of Musaceae agroecosystems, suggesting a more resilient and ecologically sustainable production model for tropical agriculture. Originality/Value: This study provides empirical evidence on how intraspecific diversity and mixed production systems can enhance resilience and biodiversity in Musaceae crops, offering sustainable alternatives to face contemporary agricultural challenges in the Ecuadorian tropics.

Building biological indicators for soil quality assessment in Dong Thap Muoi (Mekong Delta Vietnam): An application of the expert Delphi

Assessing soil quality promotes sustainable agricultural practices, especially in areas where agriculture is vital to the economy. This paper focuses on building biological indicators to assess soil quality and to promote sustainable agricultural practices in the Dong Thap Muoi region of the Mekong Delta in Vietnam. A panel of 17 experts with extensive experience in soil biology and agricultural sciences is gathered to help identify these indicators and to create a reliable framework using the Expert Delphi Method, a consensus-building approach. After a test round and two official rounds of the Delphi process, three main dimensions (biological organisms, biological quality, and relational indicators) and a total of 24 specific indicators are identified. The research finding highlights the importance of biological indicators in evaluating soil health and how they can help improve legal frameworks. These indicators are key for making decisions about land management, policy development, resource distribution, and environmental protection in selected area. Additionally, the need for further research to develop experimental models and practical solutions is indicated, ultimately advancing sustainable agricultural practices particularly in Dong Thap Muoi and more broadly in the Mekong Delta, Vietnam.

Agricultural limitations to soil carbon sequestration: Plant growth, microbial activity, and carbon stabilization

Soil carbon (C) sequestration is an important process for mitigating climate change while improving soil productivity. At the same time, it presents challenges for nutrient availability and changing agricultural practices. The aim of this study was to survey the challenges and limitations found on pioneering farms testing C sequestration using a Finnish network of farmers testing carbon farming practices. A combination of satellite monitoring, on-site measurements and soil analysis was used to quantify and evaluate soil physical, chemical, and biological quality indicators and plant productivity on 20 farms (40 fields). The indicators were assessed through a conceptual C sequestration model, classifying them into limitations for three stages of plant growth, microbial activity or C stabilization. Based on the results, there are limitations in all three stages: plant growth is constrained by crop choices which limit leaf area and sunlight capture, microbial processing of C is limited by poor soil structure and moisture stress, and C stabilization is limited by waterlogging and sulfur deficiency. These problems were found to be widespread, but not present on all the farms. Bringing all the farms to the levels of the best performing farms could reduce the considerable gap between potential productivity and C sequestration and that achieved in practice.

Plant Bioindicators in Assessing Air Quality: A Short Review

Air pollution, long recognized as having an adverse impact on health and comfort, is increasing in urban and industrial areas of society at a rate that makes it one of the most pressing environmental problems. Pollution refers to the introduction of harmful substances into the environment, negatively impacting humans and other organisms and contributing to the degradation of the quality of our environment. This paper aims to discuss the identification of certain plant species that can be used as biological indicators in assessing air quality. In this context, the aim of this paper is to analyze several theoretical aspects of biological monitoring and provide a report on the progress of using plants as biological indicators of air quality. This paper aims to describe the most significant aspects of current knowledge in this field, evaluate the applicability of the methodology, and detail its advantages and disadvantages when compared with traditional methods.

Comparing methods and indices for biodiversity and status assessment in a hydropower-regulated river

The EU Water Framework Directive (WFD) aims to achieve good status of aquatic habitats. Classification of ecological status and identifying the stressors impacting aquatic habitats is essential for achieving this aim. Here, we evaluate different methods and indices for assessing ecological status in a hydropower-regulated river in central Norway using kick-sampling and macroinvertebrate identification through morphology and DNA as well as using environmental DNA. In Norway, the ASPT index (Average Score Per Taxon) is commonly used to evaluate ecological condition in general, although the index only provides evidence for organic pollution. We observed lower than expected diversity in the regulated river, but this was not reflected in the ASPT index, which showed “Good” to “High” status for all samples and methods. An alternative index, the IBIBI (Intercalibrated Benthic Invertebrate Biodiversity Index), returned “Bad” to “Moderate” status using the same data. The DNA-based identification methods returned in general higher species richness and somewhat higher index values than morphological species identification did. Our study exemplifies the importance of including relevant biological quality indices in WFD compliant assessments, and we advocate inclusion of a pressure-independent index like IBIBI in Norwegian river management and DNA-based identification methods for future river management in general.

Refinement of the NISECI ecological index reference conditions for Italian freshwater fish communities in the eastern Emilia-Romagna region

Following the Water Framework Directive 2000/60/CE (WFD), each member state of the European Union must monitor compliance of its rivers with ecological quality standards through biological quality indicators. The New Italian Index of the Ecological State of Fish Communities (NISECI) was developed in 2017 for the assessment of fish communities, as directed by the WFD in Italian freshwater habitats. According to the WFD, the general reference conditions (GRCs) of NISECI must be refined on a regional scale through new calculation of its metrics and sub-metrics. In the present study we used environmental and ichthyological data from 457 fish samplings distributed among 299 sampling sites within 84 different water bodies collected from 1995 to 2012 to develop: 1) new lists of expected species for six homogeneous zones identified in the Reno basin (Italy) and in the eastern regional basins of the Emilia-Romagna region; and 2) the threshold values for their species-specific abundance. Results were set as refined reference conditions (RRCs) for two of the metrics used in the application of the NISECI index in the study area (i.e. X1, relating to indigenous species and X2,b, for the abundance of expected species). The RRCs were tested by applying NISECI to 24 monitoring sites of the regional surface water monitoring network (i.e., ARPAE) and comparing the results with the application of NISECI using the GRCs. Furthermore, the analytical power of the refined NISECI was evaluated by relating the findings to three expert-based blind assessments of fish community ecological status. The results confirmed an increase in refined NISECI values and its higher consistency with expert-based assessment, supporting the validity of the presented method for RRC development and its potential for application in other regions.

Climate change impact on the ecological status of rivers: The case of Albaida Valley (SE Spain)

Understanding the effects of environmental stressors (e.g., potential changes in climate and land use) on ecological status is essential for freshwater management. The ecological response of rivers to stressors can be evaluated by several physico-chemical, biological, and hydromorphological elements as well as computer tools. In this study, an ecohydrological model based on SWAT (Soil and Water Assessment Tool) is used to investigate climate change impact on the ecological status of Albaida Valley Rivers. The predictions of five General Circulation Models (GCMs) each with four Representative Concentration Pathways (RCPs) are employed as input to the model for simulating several chemical and biological quality indicators (nitrate, ammonium, total phosphorus, and the IBMWP (Iberian Biological Monitoring Working Party) index) in three future periods (Near Future: 2025–2049, Mid Future: 2050–2074, and Far Future: 2075–2099). Based on chemical and biological status predicted with the model, the ecological status is determined at 14 representative sites. As a result of increased temperatures and decreased precipitations from most of GCMs projections, the model predicts decreased river discharge, increased concentrations of nutrients, and decreased values of IBMWP for future compared to the baseline period (2005–2017). While most representative sites have poor ecological status (10 sites with poor ecological status and four sites with bad ecological status) in the baseline, our model projects bad ecological status for most representative sites (four sites with poor ecological status and 10 sites with bad ecological status) under most emission scenarios in the future. It should be noted that the bad ecological status is projected for all 14 sites under the most extreme scenario (i.e., RCP8.5) in the Far Future. Despite the different emission scenarios, and all possible changes in water temperature and annual precipitation, our findings emphasize the urgent need for scientifically informed decisions to manage and preserve freshwaters.

The Potential Of Mollusca Communities In Seagrass Ecosystems On Buntal Island Waters West Seram Regency, Maluku Province

Molluscs, especially bivalves and gastropods, make an important contribution to the formation of food chains in seagrass ecosystems. In addition, bivalves and gastropods are often used as biological indicators of aquatic environmental quality in seagrass ecosystems. The close relationship between seagrass beds, bivalves and gastropods can be seen in the expanse of seagrass ecosystems found on Buntal Island which is located in Kotania Bay, West Seram Regency. The potential of bivalves and gastropods, such as the diversity and community structure found in Buntal Island waters, is very important to study because the information is limited. This study aims to determine the diversity of bivalves and gastropods in the seagrass ecosystem of Buntal Island and to determine the community structure of bivalves and gastropods which include; density and relative density, abundance and relative abundance, and frequency of presence and relative frequency of presence. The research method used is quantitative. The results of the analysis of the potential of molluscs showed that the diversity of the composition of mollusc taxa found in seagrass ecosystems on Buntal Island was divided into 2 classes, 25 families, 37 genera, 52 species with a total of 3291 individuals. The mollusc with the highest score in terms of density, abundance, and frequency of presence belonged to Nassarius globossus.

Linking agricultural diversification practices, soil arthropod communities and soil health

Abstract Soil arthropods comprise a substantial portion of soil biodiversity and regulate processes in the soil ecosystem. Despite this, cropping system diversification designed to improve soil health for agriculture is rarely evaluated for its effects on soil arthropod biodiversity and community structure. As a result, soil arthropods are not usually considered in management decisions. To address this gap, we evaluated the effects of agricultural diversification through rotation on soil arthropods and soil properties using replicated large‐plot field studies representing two climatically distinct agroecological classes (AECs) in the dryland cereal‐growing region of the inland Pacific Northwest, USA. We investigated how different 3‐year annual crop rotations affected soil arthropod biodiversity and community structure. Treatments reflected ‘business‐as‐usual’ rotations in dryland systems and diversified rotations achieved by incorporating novel winter pea (WP) or forage crops (FORs). We also assessed relationships between the Soil Biological Quality index (QBS‐ar), which uses soil arthropods as bioindicators of soil health, and other biological and physiochemical soil health indicators. We collected 710 community samples with 82,509 arthropod specimens across 66 taxa. Novel crops in diversified rotations promoted soil arthropod abundance and biodiversity relative to crops they could replace in rotation. Crop type determined community composition. Most taxa driving differences in community structure were predators and detritivores associated with WP and FORs. In addition to effects on soil arthropods associated with specific crops, effects were also detected across rotations. Incorporating WP into rotations improved QBS‐ar across entire rotations, not just in the WP phases, in both AECs. Links between QBS‐ar and other soil health indicators were complex and varied by AEC. Synthesis and applications: Soil arthropods respond to agricultural diversification and can be used as bioindicators to assess the effects of diversification on soil health. Below‐ground arthropod communities are structured by crop type, suggesting that planting specific crops may promote soil arthropods and their services. We showed that incorporating winter pea and forage crops into dryland cereal rotations supported soil arthropod biodiversity and soil health. Results indicate that soil arthropod assessments can be included in the soil health framework to guide agricultural management decisions.

Assessment of hydrological barriers effect in river benthic fauna coupled with eDNA metabarcoding monitoring

Anthropogenic activities alter the rivers’ hydromorphological characteristics, affecting the ecosystems. River continuum interruption is identified as a principal cause of longitudinal quality variation. Macroinvertebrates, the most common biological quality indicator, are usually coupled with hydromorphological alteration assessment protocols. Environmental DNA (eDNA) metabarcoding is a recent advance in biomonitoring, complementing classical assessment, responding to time and cost-efficiency limitations. This study assesses the hydromorphological effects of two barriers (sluice and rock ramp) in a large Mediterranean modified river on the structure of macroinvertebrate assemblages using the classical method, coupled with eDNA metabarcoding while it further correlates them with the alteration of the riparian zone. Samplings were conducted at three stations for each barrier, one upstream and two downstream, during high and low flow periods. A range of statistical tests were performed for the assemblages’ comparison, the diversity indices and the investigation of spatial and temporal patterns. The findings include differences among communities’ composition for the two approaches with a moderate overlap between eDNA and classical taxonomy. The ramp had lower influence on biota in comparison to the sluice. Regarding the spatial pattern, no significant differences were revealed for both methods, but it could be attributed to the barriers’ operation extent. As for a temporal pattern, there was a difference between the two methods and, while no separation was noted among the sites as a sum, site-specific differences were found. If some problems concerning the taxonomic assignment of ASVs, the sampling methodology and the primers selection are surpassed, eDNA proves a valuable tool.

Exploratory and confirmatory factor analyses identify three structural dimensions for measuring physical function in community-dwelling older adults.

Physical function is a strong indicator of biological age and quality of life among older adults. However, the results from studies exploring the structural dimensions of physical function are inconsistent, and the measures assessed vary greatly, leading to a lack of comparability among them. This study aimed to construct a model to identify structural dimensions that are suitable and best assess physical function among community-dwelling adults 60-74 years of age in China. This study was conducted in 11 communities in Shanghai, China, from May to July 2021. A total of 381 adults 60-74 years of age were included in the study. Measured physical function data were used in factor analyses. Data collected from individuals were randomly assigned to either exploratory factor analysis (EFA) (n=190) or confirmatory factor analysis (CFA) (n=191). The statistical software used in the study was SPSS for EFA and AMOS for CFA. To test the properties of the structural dimension model of physical function, various fit indices, convergent validity, and discriminant validity were calculated. The EFA results derived seven indicators in three factors, with 58.548% of the total variance explained. The three factors were mobility function (three indicators), which explained 26.380% of the variance, handgrip strength and pulmonary function (two indicators), which explained 19.117% of the variance, and muscle strength (two indicators) which explained 13.050% of the variance. The CFA indicated that this model had an acceptable fit (χ2/df ratio, 2.102; GFI, 0.967; IFI, 0.960; CFI, 0.959; and RMSEA, 0.076), and the criteria for convergent validity and discriminability were also met by the model. The constructed structural dimension model of physical function appeared to be a suitable and reliable tool to measure physical function in community-dwelling adults aged 60-74 years in China. The structural dimension indicators identified by this model may help sports medicine experts and healthcare providers offer more targeted interventions for older adults to reverse or slow the decline of physical function and to offer actionable targets for healthy aging in this population.

Influence of tillage and residue management practices on productivity, sustainability, and soil biological properties of rice-barley cropping systems in indo-gangetic plain of India.

Conservation agriculture is a sustainable system of farming that safeguard and conserves natural resources besides enhancing crop production. The biological properties of soil are the most sensitive indicator to assess the short term impact of management practices such as tillage and residue incorporation. Nine treatments of tillage and residue management practices [Reduced till direct seeded rice-zero till barley (RTDSR-ZTB); RTDSR-ZTB-green gram residue (Gg); Zero till direct seeded rice-zero till barley-zero till green gram (ZTDSR-ZTB-ZTGg); RTDSR-ZTB + rice residue at 4 t ha 1 (RTDSR-ZTBRR4); RTDSR-ZTBRR6; un-puddled transplanted rice (UPTR)-ZTB-Gg; UPTR-ZTBRR4; UPTR-ZTBRR6, and puddled transplanted rice (PTR)-RTB] executed under fixed plot for five years on crop productivity and soil biological properties under rice-barley production system. The shifting in either RTDSR or ZTDSR resulted in yield penalty in rice compared to PTR. The PTR recorded highest pooled grain yield of 3.61 ha-1. The rice grain yield reduced about 10.6% under DSR as compared to PTR. The ZTB along with residue treatments exhibited significantly higher grain yield over ZTB, and the RTDSR-ZTBRR6 registered highest pooled grain yield of barley. The system productivity (12.45 t ha-1) and sustainable yield index (0.87) were highest under UPTR-ZTBRR6. Biological parameters including microbial biomass carbon, soil respiration, microbial enzymes (Alkaline phosphatase, nitrate reductase and peroxidase), fluorescein diacetate hydrolysis, ergosterol, glomalin related soil proteins, microbial population (bacteria, fungi and actinobacteria) were found to be significantly (p < 0.05) effected by different nutrient management practices. Based on the PCA analysis, Fluorescein diacetate hydrolysis, microbial biomass carbon, soil respiration, nitrate reductase and fungi population were the important soil biological parameters indicating soil quality and productivity in present experiment. The results concluded that UPTR-ZTBRR6 was a more suitable practice for maintaining system productivity and soil biological health. The understanding of the impact of different tillage and residue management practices on productivity, soil biological properties and soil quality index under rice-barley cropping system will help in determining the combination of best conservation agriculture practices for improved soil quality and sustainable production.

Water quality, biological quality, and human well-being: Water salinity and scarcity in the Draa River basin, Morocco

River ecosystems are being threatened by rising temperatures, aridity, and salinity due to climate change and increased water abstractions. These threats also put human well-being at risk, as people and rivers are closely connected, particularly in water-scarce regions. We aimed to investigate the relationship between human well-being and biological and physico-chemical river water quality using the arid Draa River basin as a case study. Physico-chemical water measurements, biological monitoring of aquatic macroinvertebrates, and household surveys were used to assess the state of the river water, ecosystem, and human well-being, as well as the associations between them. Salinity levels exceeded maximum permissible values for drinking water in 35 % and irrigation water in 12 % of the sites. Salinity and low flow were associated with low biological quality. Human satisfaction with water quantity and quality, agriculture, the natural environment, and overall life satisfaction were low particularly in the Middle Draa, where 89% of respondents reported emotional distress due to water salinity and scarcity. Drinking and irrigation water quality was generally rated lower in areas characterized by higher levels of water salinity and scarcity. The study found positive associations between the river water quality and biological quality indices, but no significant association between these factors and human satisfaction. These findings suggest that the relationship between human satisfaction and the biological and physicochemical river water quality is complex and that a more comprehensive approach to human well-being is likely needed to establish relationships.

Chiral pesticides levels in peri-urban area near Yangtze River and their correlations with water quality and microbial communities.

Pesticides are considered to be the second-largest non-point source pollution in water. Our research assayed the river network of typical agricultural areas in the middle and lower Yangtze River as the study area. Pesticides residues in aquatic environment were determined by QuEChERS, combined with high-performance liquid chromatography tandem mass spectrometry, or gas chromatograph-mass spectrometer. At chiral pesticides' levels, we detected pesticides contents in water, classified and counted the types of pesticides, and analyzed their environmental risk assessment. Furthermore, potential correlations between chiral pesticides concentrations and water quality indicators were assayed. Additionally, we explored their relations with microbial communities at species levels. Enantiomers of Diclofop-methyl, Ethiprole, Difenoconazole and Epoxiconazole were enantioselectively distributed. More interestingly, due to various chiral environment of the sampling site, the enantiomers of Tebuconazole Acetochlor, Glufosinate ammonium and Bifenthrin had completely different distributions at different sites. Based on that, the chiral pesticides Diclofop-methyl, Bifenthrin, Ethiprole, Tebuconazole and Difenoconazole are enantioselective to the risk of aquatic environment. Generally, enantiomeric selectivity had high positive correlations with total nitrogen and phosphorus. Then we found that chiral fate behavior of Tebuconazole and Paichongding in water might be affected by prokaryotes. In addition, the chiral behavior of Diclofop-methyl, Propiconazole, Difenoconazole, and Tebuconazole isomers in water might be negatively affected by eukaryotes. That research helped us to comprehensively understand the impact of non-point source pollution of chiral pesticides in aquatic environment and provided basic data support for developing biological and water quality indicators for monitoring pollution in aquatic environment.

Agricultural practices influence biological soil quality indicators in an irrigated semiarid agro-ecosystem

A study was conducted to investigate how soil biological measurements can be used to indicate differences in soil quality in arid and semiarid agroecosystems. The objectives were to assess soil biological quality indicators under different land management practices and at different depths and to explore the relationships between soil microbial community and organic matter fractions. Soil samples were collected from three replicates of six land management systems at 0–5 cm and 5–15 cm soil depths. Four management systems had medium to fine soil texture including a permanent grass field with tall fescue (Lolium arundinaceum [Schreb]; TFC), peach orchard with clover understory (Prunus persica with Trifolium repens L.; PCC), alfalfa field (Medicago sativa; ALF) and conventionally tilled soil with an annual crop rotation (CTC). Two management systems, including a young cottonwood tree orchard (Populus fremontii and Populus deltoides; CWS) and conventionally tilled soil in annual crop rotation (CTS), had coarse soil texture. Management systems had significant impacts on most of the soil biological indicators assessed at the two depths with both depths responding similarly to management practices. For the soil biological indicators that showed differences, the TFC generally had the most favorable indicator measurements compared to other management systems. The principal component analysis showed a clear separation between the management systems and microbial communities at both soil depths. The ordination pattern was structured by soil textural differences between medium to fine-textured soils from TFC, PCC, ALF, and CTC fields and coarse-textured soils (CWS, CTS). Spearman’s correlation coefficients (rs) showed that the soil organic matter (rs = 0.85, P = 0.001) and the permanganate oxidizable carbon (rs = 0.93, P = 0.001) were significantly correlated with the total microbial biomass at 0–5 cm soil depth. Also, the soil organic matter (rs = 0.84, P = 0.001) was significantly correlated with the total microbial biomass at 5–15 cm soil depth. This study suggests that in semiarid agroecosystems, management practices with permanent covers have the potential to improve soil quality, and soil texture may also influence the directional changes in soil quality within this region.

Towards a functional assessment of stream integrity: A first large-scale application using leaf litter decomposition

• Litter decomposition exhibits large variability at the regional scale (83 streams). • Litter decomposition does not correlate with the European WFD structural indicators. • Functional and structural indicators are complementary. • A grid is given to translate decomposition rates into functional quality classes. There is increasing recognition that indicators of ecosystem functioning are needed to improve current stream monitoring schemes. However, to date, no attempt has been made to include functional metrics in large-scale routine monitoring programs under the European Water Framework Directive (WFD). One reason is the uncertainty if functional indicators really carry new and independent information about stream status or, to the contrary, remain broadly redundant with existing indicators of biological stream quality (based on stream communities). A second reason is that, despite increasing scientific knowledge on how anthropogenic pressures influence ecosystem process rates, no ‘ready for use’ tool is available to translate them into stream ecosystem status. Litter decomposition probably ranges among the most documented stream ecosystem processes, and its potential for bioindication has been repeatedly demonstrated during the past decade. Here we report an extensive comparison of routine French structural indicators (I 2 M 2 , IBGN, IBD) with alder litter (microbial and total) decomposition rates in 83 streams located in south-western France. Expectedly, microbial decomposition rates were positively correlated with fungal biomass and activity (conidial production rate), while total and invertebrate-driven decomposition rates increased together with detritivore density and diversity in litter bags. By contrast, correlations between litter decomposition rates and routine structural indicators were clearly weak (Spearman’s ρ < 0.20), providing evidence that functional indicators bring new information. We devised a new interpretation grid to translate litter decomposition rates into stream ecological quality in a WFD-compatible design. This system considers the litter decomposition rates measured in both coarse (total decomposition) and fine (microbial decomposition) mesh bags as uncorrelated metrics of ecosystem functioning ( P = 0.898). Streams are considered functionally impaired when total and/or microbial decomposition rates are either higher or lower than in a reference condition. Applying our classification system to the 83 study sites allowed to assign them to 5 functional quality classes: bad (4 streams), poor (26), fair (29), good (21) and high (3). This classification did not match the classes obtained by conventional WFD structural indicators, reflecting that both functional and structural indicators are needed to obtain a comprehensive assessment of stream ecosystem integrity.

Keanekaragaman Jenis Capung (Ordo Odonata) Pada Berbagai Tipe Habitat Di Kecamatan Leuwiliang Kabupaten Bogor

Dragonflies and damselflies (Odonata) are insects with an important role for biological control and environmental quality indicators. Odonata are scattered in various types of habitats, especially those associated with freshwater ecosystems. The aim of this research is to study the diversity of odonata in various habitat types in Leuwiliang District, Bogor Regency. The study was conducted on 10 habitat types with a total of 1289 observation lines. In total found 23 species of odonatan from eight families and two sub-orders. The highest species richness was found in stream water habitats (22 species) and the lowest in field habitats (five species). The chi-square test for the number of species and the number of individuals differed significantly between habitat types. The species diversity index ranged from 1.23-2.24 and the similarity index ranged from 0.39-0.71. The highest community similarity index was between lakes habitats and field habitats. The results of the MDS analysis resulted in three groups of odonata communities according to their habitat type.

Ecohydrologic modeling using nitrate, ammonium, phosphorus, and macroinvertebrates as aquatic ecosystem health indicators of Albaida Valley (Spain)

Study regionAlbaida Valley, Spain. Study focusRivers are experiencing a rapid biodiversity loss largely due to water quality degradation imposed by anthropogenic activities. To show the capability of modeling to inform water management at watershed scales, this research develops an eco-hydrological model of the Albaida Valley (Spain). SWAT (Soil and Water Assessment Tool) is used for modeling of discharge and nutrients after calibration with SWAT-CUP (SWAT Calibration and Uncertainty Program). Results from SWAT are coupled to regressions between nutrients concentrations and macroinvertebrate-based metrics obtained from field monitoring. The spatio-temporal assessment of ecological status of streams is then carried out using simulated chemical and biological quality indicators (nitrate, ammonium, phosphorus, and macroinvertebrates). New hydrological insights for the regionManagement measures (e.g., improving treatment of wastewater and/or adopting policies for reducing fertilizer use) are needed as the ecological status of Albaida Valley rivers is mostly classified as poor because of nutrients pollution. The reasonably low uncertainty in the model prediction (expressed by R-factor: discharge (0.2–0.61), nitrate (0.79–1.27) and total phosphorus (0.8–1.68)) demonstrates the potential of the presented model for future applications (i.e., for investigating possible responses of the Albaida Valley ecosystem to changes in climate, land-use, and local management policies). The modeling approach provided in this study could be generally used as a complementary technique to field monitoring in assessing and managing ecological conditions of rivers.

Use of an Edaphic Microarthropod Index for Monitoring Wildfire Impact on Soil in Mediterranean Pine Forests

The aim of this study was to investigate the potential of the Biological Soil Quality index (QBS-ar index) for monitoring the impact of wildfires on Mediterranean pine forests soils. The QBS-ar is a simplified eco-morphological index, based on edaphic microarthropods. We analyzed the QBS-ar values of pine stands burned one or two times and at different time spans from fire (from 10 days to 11 years after fire), in comparison to the unburned control area. Effect of fire on the biological soil quality evaluated with QBS-ar index was analyzed using univariate and multivariate techniques. Our results showed a significant variation of QBS-ar values between burned areas and those never burned. The impact of fire on the QBS-ar index and the microarthropod community was higher in the areas burned twice. A relevant average dissimilarity of taxonomic groups was found between the control area and the area burned twice, but also between the control area and the one observed 3 months after the fire. The taxa that contributed more to the dissimilarity were Pseudoscorpiones and Diplopoda, which reduced their presence after fire. Our study shows that the QBS-ar index is a dependable method for monitoring the impact of fire on soil quality in forest ecosystems and indicates that edaphic microarthropods communities in these Mediterranean pine forests return to the before fire condition 11 years after fire. The QBS-ar index could therefore be a useful tool for monitoring forest ecosystem rehabilitation after fire.