How to Read the Environmental Quality Index

Indicator of Ecology Quality

From: Marine Pollution , 2018

Pollution Control

Ricardo Beiras , in Marine Pollution, 2018

nineteen.three Toward Simple, Objective, and Universal Tools to Classify Ecological Status

Multimetric indices summarize a high amount of information in a unmarried effigy

Quantitative indicators of environmental quality currently used or proposed for the nomenclature of status are simple variables (concentrations of dissolved oxygen, nutrients, chemicals, amount of chlorophyll, etc.), univariate indices (species richness, diverseness, benthic indices based on the indicator species concept), or multimetric indices resulting from combination of univariate ones. WFD states that the presence of "taxa associated with undisturbed conditions" or "taxa indicative of pollution" are biological quality elements used in the classification of ecological status. Despite the controversy effectually the static concept of indicator species with a stock-still sensitivity to anthropogenic stress, that statement triggered the development of a myriad biotic indices based on the abundance of species a priori classified in groups of tolerance (encounter Section 15.2), afterwards combined with classical community indices to produce numerous multimetric indices (e.g., B-IBI, ¹⁶ RBI, ¹⁷ BQI, ^xviii M-AMBI ¹⁹ ), with different countries choosing dissimilar indices. Multimetric indices take the appeal to collapse a loftier amount of information into a single figure easy to handle by environmental managers and readily comparable to a target value, and they accept flourished with the implementation of WFD and derived ecology regulations enforcing assessment of ecological state.

classification of sampling sites into classes of ecological status is index dependent…

However, the classification of sampling sites into dissimilar classes of ecological status is index-dependent and does not necessarily reflect the pollution status of the study areas for sources of pollution other than organic matter. ²⁰ An intercomparison written report found total agreement among indices in the split up between acceptable and nonacceptable sites in less than 2% of the cases. ²¹ Furthermore, many multimetric indices are highly redundant. M-AMBI for example is a trivariate index that includes two classical parameters: Shannon diversity and species richness. Since the first is a part of the latter loftier correlations are generally plant betwixt both, ²² and the alphabetize is reducible to a bivariate version. ²³

…and so international consensus is currently needed to choose common assessment tools

In other cases international consensus on standard tools has been adopted. For instance, regarding the marine litter descriptor of the MSFD, information technology has been noticed that monitoring the accumulation of stranded plastic in beaches is biased by natural (beach dynamics) and anthropogenic (clean ups) factors. In contrast, monitoring of plastic loads in seabirds was effective in detecting spatial differences, temporal trends, and even changes in the composition of environmental plastics. ²⁴ Close cooperation between researchers around the North Sea permitted the development of a common monitoring tool and associated metrics, based on the plastic content in stomachs of fulmars, already adopted to test the OSPAR Ecological Quality Objective for marine litter. ²⁵ The preliminary target for acceptable ecological conditions, applicable to the MSFD, is defined equally "less than 10% of northern fulmars having 0.1 1000 or more plastic in the stomach in samples of 50–100 beached fulmars from each of 5 different subregions of the North Bounding main over a period of at to the lowest degree 5 years." The tool seems useful for both identification of geographical patterns—with average plastic loads showing a fourfold increase from the Faroe Islands to the southern North Sea—and temporal trends—with plastic ingestion increasing from the 1960s to the 1980s but stabilized or decreasing more recently. The composition of ingested plastic as well inverse, with a decrease in industrial plastic (virgin pellets) and an increase in the percent of consumer plastics fragments.

Weight-of-evidence approaches combine for the assessment dissimilar types of data, called lines of testify

The assessment of status may be based, instead of on a single figure, on the combination of dissimilar types of measurements that contribute with complementary pieces of information. This strategy is usually termed weight-of-evidence arroyo. A classic example of this approach integrating different lines of evidence for the assessment of sediment pollution is the sediment quality triad, proposed by P. Chapman and coworkers, which combines measures of chemical contagion, sediment toxicity using ecotoxicological bioassays, and benthic community composition. ²⁶ Within each line of prove, data tin be aggregated by computing for each variable the RTR and taking the mean of the RTR values, which tin exist depicted in a iii-centrality star plot. ²⁷ The triad places emphasis on the demand to take into account the iii sources of information at chemic, toxicological, and faunistic levels to produce correct assessments of sediment pollution, and it has been successfully applied in the evaluation of marine pollution world-wide. ²⁸ However, this arroyo underexploits the information gathered by not attempting exploration of the interrelations between the dissimilar lines of evidence. In the same vein, F. Regoli and coworkers proposed a sediment run a risk cess strategy based on four lines of evidence: sediment chemistry, bioaccumulation, molecular biomarkers, and ecotoxicological bioassays, and developed a computer assisted method to provide synthetic indices suitable for classification of the sediments in categories of status. ²⁹

Multivariate methods are more universal, objective, and discriminant but less user-friendly

Multivariate methods are powerful statistical tools suitable to ordinate and classify sampling sites from monitoring networks (see Box xix.one). When multivariate methods are compared to univariate or multimetric indices using the same data sets, the first result in a greater ability to differentiate spatial and temporal trends. ³⁰ Only multivariate analysis allows the identification of the primal environmental variables responsible for community change. ³¹ In improver, multivariate approaches are not dependent on the type of pollution, ³² in dissimilarity to the biotic indices adult on the basis of the differential sensitivity of benthic species to organic enrichment (encounter Section fifteen.2). Also, multivariate methods are the least subjective within the context of integration of information and selection of reference conditions. ³³ Among their limitations are the preparation required to deal with complex statistical issues, and the demand to develop more simple and user-friendly ways to convey the data extracted from these statistical methods.

Box 19.i

Using Multivariate Analysis for the objective classification of status in aquatic ecosystems.

Ecological studies often combine observations of the physical environment and the organisms, the latter at different levels of biological organization. Current ecology monitoring programs in particular integrate chemical and biological information, generating circuitous and heterogeneous data sets. Multivariate analyses are specially indicated for the treatment of those heterogeneous—in terms of metrics, scales, and sampling blueprint-data sets. ³⁴ Amid multivariate methods, classification (clustering) and ordination methods normally deal with comparisons among objects, which can be the sampling sites in a monitoring network. Both classification and ordination methods are complementary, since the latter are useful to visualize the similarities between sites, summarizing the multidimensional information in a 2-D plot, while the earlier reveal discontinuities that allow the partition of the sampling sites into discrete groups. Thus ordination and classification should be practical jointly for a better agreement of an ecology data prepare.

Principal Component Analysis (PCA) is the almost common ordination method. It allows the identification of weighed combinations of the original variables (components) than better explicate the total variability of the data. Sites can afterward be plotted as a function of the orthogonal master components explaining college percentages of variability in two-dimensional (2D) graphics. Nevertheless, PCA assumes multinormal distribution of the data set, and previous data transformation or standardization is required. Moreover, metrics also impact the PCA results, and if variables are not standardized to relative scales, the PCA may exist dominated by few variables with large units of measurement. Multidimensional scaling (MDS) ³⁵ is an alternative nonmetric (although metric versions exist) ordination method specially useful when assumptions to behave metric techniques are unwarranted. ³⁶ Incidentally, this technique was initially adult in the field of psychology, where similarities between the non metrically measurable perceptions of stimuli (objects) among persons (variables) were targeted. Nonmetric techniques such as MDS, using ranks rather than metrics, are robust against background noise from random variables, work as well with categorical, ordinal, and numeric attributes, and are applicable to "shallow" matrices, such as those obtained in monitoring campaigns, where a large number of variables are measured in a relatively small number of sites. ³⁷ In improver, MDS lacks the assumption of linear relationships between variables typical of PCA and other classical ordination methods, and thus is more constructive in reducing dimensionality when variables involved present nonlinear responses, such as many environmental processes.

The objective of MDS is to construct a bidimensional (or more rarely tridimensional) configuration of the objects such that the agreement between the distances in the configuration and the dissimilarity values between all possible pairs of objects is maximized. Whereas in the metric version of MDS this agreement is quantified through Euclidean distances or similar equations, in nonmetric MDS the agreement is assessed by comparing the rank order of distances to the rank order of proximity measures. ³⁸ The best configuration is iteratively accomplished, and the departure from the optimal solution is quantified by a measure called "stress."

Clustering analysis allows the partition of the sampling sites into discrete groups with a given degree of dissimilarity. Both MDS and clustering analysis use a symmetrical matrix of dissimilarities obtained by comparing all possible pairs of sites. This matrix is called the association matrix, and information technology has n × n dimensions, where n is the number of sites in the data set. Dissimilarity between each pair of sites, j, k, may exist calculated through several expressions, including the Bray–Curtis index:

(Eq. 19.1) $δ_{j k} = (\sum^{m} | Y_{i j} - Y_{i k} |) / (\sum^{g} (Y_{i j} + Y_{i k}))$

where Y _ij and Y _ik are the scores of variable i, for a total of m variables, at sites j and k respectively. The matrix is symmetrical since δ_jk

δ_kj, and square (number of rows

number of columns

northward). The diagonal of the matrix is made of 0, the dissimilarity of each object with itself. An obvious requirement non always fulfilled in overambitious monitoring designs is that all variables are to exist measured at all sites in the monitoring network.

MDS in combination with clustering assay has been successfully practical to monitor the spatial homogeneity and seasonal dynamics of phytoplankton communities, ³⁹ to classify coastal sites according to the composition of their benthic animal, ^twoscore or to rails the effects on marine mussels of dredging and dumping of dredged materials. ⁴¹ Superimposing the results of clustering analysis on the MDS configuration provides also an easy way to visualize groups of sites that can be interpreted as with like status. In Fig. xix.3, using data from R. Beiras & I. Durán, ⁴² coastal sites sampled 3 successive years are classified co-ordinate to a comprehensive data set that includes benthic customs indices, sediment chemical science, and ecotoxicological bioassays.

By choosing the appropriate similarity thresholds, one can obtain the wished number of groups of condition. An approach sometimes regarded as "traffic light" organization, very intuitive for presentation, is advocated by ICES to assess pollution related variables, and tin be also used for representing sites. This arroyo considers three different categories: groundwork or reference, represented in green, elevated values compared to background, depicted in orange, and high values that are cause for business concern, depicted in ruby-red. The WFD though specifies five different categories of ecological status with their contributor colors: loftier (blue), practiced (light-green), moderate (yellow), poor (orange), and bad (cherry-red). K-means clustering is a method that allows y'all to specify a priori how many clusters y'all wish, avoiding the arbitrary selection of the splitting altitude. However, the split is dependent on the set of monitored sites. If we wish to fix that benchmark then a fixed ready of well-known reference sites and highly polluted sites must be included in all analyses.

The multivariate methods and then far described employ a single data matrix with no assumptions underneath. Nosotros can further sophisticate the analyses by making a distinction between explanatory and dependent variables, bold that the after (frequently biological) depend on the first (frequently physicochemical and geomorphological). This approach, pioneered by establish ecologists and known equally gradient analysis, seeks the combination of explanatory variables that best explicate the variation of the dependent matrix. Information technology is therefore a constrained ordination process; we constrain the axes of the new configuration (now called canonical axes) to exist linear combinations of the explanatory variables. The canonical axes are once more orthogonal (uncorrelated) linear combinations (multiple regression models) of all explanatory variables. The most used canonical analysis is redundancy analysis (RDA), the canonical version of PCA. ⁴³

Despite their higher objectivity, less redundancy, and higher discriminant ability, multivariate methods are complex, crave some statistical grooming, and are hard to convey to managers and the public. This has precluded their generalized use in environmental assessment, particularly when time is present equally a factor and temporal changes are to be studied. The increase or decrease in a multimetric alphabetize value is much easier to follow than the trajectories in a multivariate configuration, particularly because those trajectories are frequently nonlinear in such plots. The Main Response Curves (PRC) is a method derived from RDA that produces a simple and user-friendly graphical representation of the temporal evolution of studied sites compared to a reference. The reference is constrained to a horizontal line, buffering whatever seasonal or successional change, whereas the curves corresponding to the studied sites may evolve showing pass up or recovery over time. ⁴⁴

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Macroinvertebrates as Biotic Indicators of Ecology Quality

James 50. Carter , ... Morgan J. Hannaford , in Methods in Stream Ecology (Third Edition), 2017

Abstract

Macroinvertebrates are used more often than whatever other groups of organisms when assessing the environmental quality of lotic systems. In this chapter we depict the many means macroinvertebrates are used as indicators of environmental quality—from the molecular-through the customs-level of biological arrangement. Nosotros highlight more recent advances in the use of DNA bar coding and species traits and and then depict in particular the about unremarkably used macroinvertebrate-based methods for assessing the quality of streams and rivers. 2 exercises are provided. The start can be completed equally a full day projection by students or volunteers and includes a laboratory-only option. The second provides the basic background and information for a higher-level senior thesis, graduate study or governmental monitoring organization.

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Field and Laboratory Experiments in Fluvial Geomorphology☆

E. Wohl , in Reference Module in World Systems and Ecology Sciences, 2021

ii.3 Experiments at the basin scale

Quasi-experiments undertaken at the calibration of whole drainage basins include studies of the response of basins to deforestation, afforestation, or other land-use changes, and studies of the response of rivers to either experimental loftier menstruation releases from dams or dam removal. Although the manipulations of land-utilise changes are typically not controlled or past design, analyses with proficient before-and-afterwards information, or with well-paired multiple watersheds can provide very useful insights into fluvial system adjustment. Instrumented catchments in which portions of the watershed are deliberately manipulated more closely guess true field experiments. Examples include the H.J. Andrews Experimental Forest in western Oregon (Walling, 1991) and the Fraser Experimental Forest in cardinal Colorado (Alexander et al., 1985). Many experimental watersheds involve hybrid- and quasi-experiments in which distinct subsets of the watershed that differ in size, lithology, or other characteristics are compared to one another. Examples discussed by Walling (1991) include the Hachioji bowl in Japan, the Sde Boker site in State of israel, the Dinosaur Park basin in Alberta, Canada, the Homerka catchment in Poland, the Goodwin Creek catchment in Mississippi, USA, and the Exe basin in England.

A subset of basin-scale field experiments involves measurements and/or manipulations of newly developed catchments. Such catchments can outcome from natural processes such every bit deposition from volcanic eruptions or hillslope mass movements. Newly created landforms can likewise result from human activities, such every bit reclaimed mine lands. An example of the latter is an artificially created catchment associated with an open-cast lignite mine in Deutschland, where Schneider et al. (2013) analyzed network development.

The nigh circuitous and difficult true field experiments are those undertaken at the basin scale, typically in clan with river restoration programs. Several examples now exist from diverse locations, but this discussion focuses on three examples: the Kissimmee River and the Everglades ecosystem in Florida, United states; the M Canyon of the Colorado River in Arizona, U.s.a.; and the Elwha River in Washington, USA. The Kissimmee example represents manipulation of channel class, the Grand Coulee example represents experimental high catamenia releases from a dam, and the Elwha case represents dam removal.

2.3.1 Kissimmee river and everglades

Florida's Everglades have been heavily contradistinct during the past century by agricultural and urban development that accept reduced the Everglades to about half of their size, introduced numerous contaminants, and substantially reduced freshwater inflows (CISRERP, 2006). Among the individual restoration projects at present being undertaken in the Everglades is the Kissimmee River Restoration Project (Koebel and Bousquin, 2014). The Kissimmee River watershed forms the 8300-km² headwater surface area of the Everglades watershed. The river historically meandered 170 km through a floodplain two–three-km wide. Channelization during 1962–71 caused dramatic changes in the aquatic and riparian ecological communities. Restoration that started in 1992 includes filling portions of the artificially straightened channel, removing some of the water-control structures along the channel, removing artificial levees, and dredging portions of the original meandering channel to facilitate reintegration into the active river organisation (CISRERP, 2006). The first phase of this restoration was completed in 2001 and has produced measurable improvements in indicators of environmental quality such every bit substrate grain-size distribution in aqueduct, dissolved oxygen, and construction of coastal establish communities and benthic invertebrate communities (CISRERP, 2006).

The Kissimmee River Restoration Project constitutes a field experiment because information technology is not a simple "restore it and they will come" undertaking. With multiple constraints on h2o quantity and quality, predrainage conditions cannot exist completely restored (Wohl, 2004). Instead, project scientists established flow criteria in terms of seasonality, magnitude, and duration that they hypothesized would restore desired characteristics of the river system (Toth et al., 1993, 1995; Belanger et al., 1994; Warne et al., 2000). The concrete, chemical, and ecological responses of the river are the test of these hypotheses, and thus far the results largely support the hypotheses (eastward.yard., Anderson, 2014; Bousquin and Colee, 2014; Spencer and Bousquin, 2014).

2.3.two Colorado river in grand coulee

The Colorado River drains approximately 629,500 km² in the southwestern Usa (Graf, 1985). The river has multiple large dams along its length, but the downstream effects of Glen Canyon Dam are subject field to particular scrutiny because the dam lies immediately upstream from One thousand Coulee National Park. Closure of Glen Canyon Dam in 1963 eliminated the supply of fine sediment from upstream, decreased the magnitude of almanac snowmelt peak flows, and increased the magnitude of base of operations flows (Topping et al., 2003). These alterations caused numerous changes in the river system downstream from the dam, including the progressive depletion of sand stored on the channel bed and forth the channel margins in sand bars (Schmidt, 1990; Schmidt et al., 2004). The sand confined provide the primary camping sites for the thousands of people who float down the river through Grand Coulee each year, as well as riparian habitat for birds and other organisms and associated backwater habitat for native fish species (Fig. 2).

The restoration of sand bars via experimental flood releases is a major focus of the Glen Canyon Adaptive Management Programme (Webb et al., 1999). Adaptive management is a structured, iterative procedure of making management decisions despite the presence of uncertainty, with the objective of reducing dubiousness over fourth dimension by monitoring system response to direction deportment and to natural changes (Holling, 1978). Adaptive direction is analogous to scientific research in that information technology includes posing and testing hypotheses, and subsequently refining the hypotheses and management actions based on observed organization responses. In the case of the Yard Canyon, multiple experimental floods take been released to date, in 1996, 1997, 2000, 2004, 2008, 2012, 2013, 2014, 2016, and 2018. Hypotheses regarding the effects of these floods on the sandbars (Schmidt and Rubin, 1995; Rubin et al., 1998, 2002; Hazel et al., 1999, 2010; Andrews et al., 1999; Schmidt et al., 1999; Topping et al., 2006; Wiele et al., 2007; Mueller et al., 2018) are continually refined based on changes observed in sandbars over time post-obit each flood, and the timing, magnitude, and elapsing of subsequent experimental floods are developed from these refined hypotheses (Melis et al., 2015).

two.three.three Elwha river in washington

The largest dam removal to date occurred in stages from 2011 to 2022 on the Elwha River, which drains 833 kmⁱⁱ in the state of Washington. The Elwha flows 72 km to the Pacific Ocean but was dammed at river km seven.4 (Elwha Dam, completed in1913) and at river km 21.6 (Glines Canyon Dam, 1927) (East et al., 2015). Removal of the dams was undertaken to restore habitat for anadromous fish species. During the removal, 7.1 1000000 m³ of sediment were released into the river downstream from the dams (East et al., 2015; Magirl et al., 2015). Although much of the sediment was transported downstream to the ocean (Warrick et al., 2015), downstream dispersion of the sediment moving ridge created widespread bed aggradation averaging ~ 1 m in thickness and caused the previously single-thread, pool-riffle channel to go braided (Eastward et al., 2015). Aggradational aqueduct avulsion further increased the braiding index and enhanced water and sediment connectivity with floodplain channels, although the principal channel gradually began to incise with time (Eastward et al., 2015). A total of 21 million m³ of sediment stored in the two former reservoirs is available for fluvial mobilization, suggesting that the reservoir fills will go on to provide high sediment loads to downstream portions of the river (Randle et al., 2015). Early observations indicate enhanced establishment of riparian vegetation on newly deposited bars (East et al., 2015), but the long-term effects on fish populations remain to be determined. In this example, coordinated, interdisciplinary data collection prior to, during, and after dam removal facilitates the testing of hypotheses and conceptual models formulated prior to dam removal (e.chiliad., Pess et al., 2008; Woodward et al., 2008).

Other examples of field experiments involving dam removal come from the Sandy River, Oregon (Major et al., 2012), the Condit River, Washington (Wilcox et al., 2014), and numerous smaller dams throughout the continental U.s.a. (Doyle et al., 2005; O'Connor et al., 2015).

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Application of Ecological Information science

M.J. Dreyfus-Leon , Thou. Scardi , in Encyclopedia of Environmental, 2008

Examples

Example ane

A very straightforward example of an 'ecological informatics' awarding is the Fish-based Conclusion Support Organization (FIDESS): a 'conclusion support organization' (DSS) that has been recently adult in Italian republic is based on artificial intelligence and aims at profitable environmental management policies.

The demand for such a DSS stemmed from the European H2o Framework Directive (WFD), which set a very ambitious goal for all the member states, that is, improving the quality of all the superficial water bodies by 2022 up to a level that tin be considered as 'skillful'. Obviously, in order to enforce the WFD policies accordingly, appropriate evaluation methods are required. The WFD clearly states that the central criterion is the 'ecological status', that is, an expression of the quality of the structure and functioning of aquatic ecosystems associated with surface waters, which is mainly based on biotic 'quality elements'. Fish fauna plays a major role among the latter, not only because fish species are effective biological indicators of environmental quality in aquatic ecosystems, just too because of their iconic value.

The bulk of the available assessment methods based on fish have been developed during the last two decades, and they are mostly inspired by the seminal piece of work by J. Karr, who developed a multimetric index (the 'index of biotic integrity', IBI), which combines 12 attributes of the fish assemblage that are supposed to reply to ecology disturbance (i.e., metrics) into a unmarried score. This approach is inherently flexible, and therefore it has been adapted to a number of countries and river basins, not merely in North America, but also in Europe and other continents.

Although multimetric biotic indices have become commonplace tools in environmental management, they are not optimized from a computational point of view and therefore even the about successful ones oft fail, providing evaluations that are not consistent with other ecological evidences. This limited capability is not surprising, equally no evaluation method tin can be simple, general, and authentic at the same time. Multimetric indices are certainly simple, then they have to requite up generality in club to be authentic, and in fact the well-nigh successful ones are unremarkably aimed at a single river bowl or at a single, very homogeneous ecoregion. Basically, multimetric biotic indices usually rely upon a audio ecological rationale, but they exploit the available information in a suboptimal way.

In order to be both general and accurate, methods for evaluating the ecological status must be more than complex than multimetric indices in the way they process the available information. 'Ecological informatics' is certainly the appropriate conceptual and methodological framework for developing such an optimized method.

Therefore, a DSS based on an ANN was trained to associate fuzzy skilful judgments to environmental and fish assemblage data. This solution was based on the assumption that complex biotic relationships that link fish aggregation composition to environmental weather condition tin be embedded into an ANN and that such an ANN tin can be trained to mimic the manner human experts result their judgments.

In fact, skilful judgment, although inherently subjective, is the primal for whatever environmental assessment method, from the choice of relevant metrics to the discretization of the scoring scales of multimetric indices. The same subjectivity affects the evaluation of the ecological status, which cannot be univocally defined, and information technology is by and large based on the personal interpretation of natural phenomenologies. In spite of the lack of objective criteria, ecologists usually concord in ranking sites co-ordinate to their ecological status, because they share a common rationale.

FIDESS is still under development, as more information (fish aggregation data, environmental information, and multiple skilful judgements) is needed to fully railroad train the ANN with respect to a full spectrum of ecoregional weather, and at present it is optimized for central Italy.

In spite of theoretical bug related with the so-called 'curse of dimensionality' and thanks to the stiff biotic relationships that implicitly constrained the learning phase, a few hundreds records immune to properly railroad train a very circuitous ANN. (The curse of dimensionality refers to the exponential increase in volume caused by the improver of new dimensions to an northward-dimensional space. In car learning applications it usually hinders the solution of problems involving a limited number of patterns in a high-dimensional characteristic space.) This ANN is a 59-25-5 MLP, which has 27 abiotic and 32 biotic inputs. Among the latter, several hydromorphological attributes as well as some chemicophysical ones are considered, while presence/absence of 30 species, plus overall and juveniles-only species richness were included as descriptors of the fish assemblage. The ANN has 5 outputs, which correspond to fuzzy membership estimates relative to each one of the ecological status classes that are divers past the European WFD (and that are considered in the human being expert judgments). The ANN outputs can be regarded as memberships as they sum upwardly to one thanks to a softmax activation function in the output nodes.

The training of the ANN-based DSS is performed not just using information directly obtained from sampling, but likewise 'virtual' records. Basically, during expert judgment elicitation, homo experts are too asked to point out which changes in biotic and/or abiotic would affect their evaluation, or to explain how their evaluation would modify in case dissimilar (but likely) environmental and faunistic properties were observed. In this way alternate scenarios can exist easily simulated and new skilful judgments can be associated to each 'virtual' record, thus widening the knowledge base upon which FIDESS is congenital.

Even though at its nowadays evolution phase FIDESS can be regarded every bit a very early blastoff release of the final tool, information technology has been tested using an independent data set (northward = 69). A defoliation matrix, that is, a 5 × 5 contingency table, was obtained past cross-tabulating human being expert judgment confronting FIDESS nomenclature, showing a very good agreement: two out of 3 cases were correctly classified later defuzzification, while the worst-case error was within a single quality course. A typical measure out for interobserver understanding, the weighted Kappa statistics, confirmed that the deviation of the FIDESS classification from a random understanding with skilful judgment was highly pregnant.

Although computationally intensive, an ANN-based DSS cannot be regarded equally a prototype for 'ecological informatics'. An essential component in this light is the 'Graphical User Interface' (GUI) that was wrapped around the ANN to provide a convenient and interactive admission to FIDESS ( Figure 1 ). The GUI makes the ANN – that is, the unnecessary complexity – absolutely transparent to users who are gratuitous to interact with FIDESS. Equally before long every bit they modify the input data, changes in classification in real time tin be observed. Although information technology is trivial if compared to the ecological and computational background of FIDESS, the GUI is not a secondary characteristic. On the contrary, it plays a major function in the acceptance of FIDESS. In fact, while most users are familiar with multimetric and other biotic indices, they do non feel comfortable with an ANN, which is perceived as a rather obscure 'black box'. Interacting with FIDESS in existent time, thank you to a user-friendly GUI, for instance, past moving sliders, helps users to learn how FIDESS reacts to changes in biotic and abiotic variables and to understand that FIDESS only mimics their own way of reasoning. The relationships between user's input, ANN, and FIDESS outputs are summarized in Figure ii .

In determination, this combination of a typical artificial intelligence technique, a smart knowledge elicitation process, and a very user-friendly and interactive GUI tin exist regarded as a good example of what 'ecological informatics' is all most: combining available methods, data, knowledge, and software into new, feasible solutions for ecological problems.

Example 2 ^*

This example deals with a representation of animate being behavior and learning. The agent or bogus animal is generated and attempts to cope with the features of the world with its limited knowledge. The objective is to accommodate to the problem presented to it through learning, gradually modifying its behavior related to motility in the space ( Figure three ).

The agent used in the example carries an ANN (three layers: input layer where data enter the networks, hidden layer where they are classified, and output layer where decisions are made) that must larn by reinforcement (punishment and reward) the best strategy to get as much profit equally possible from the world in terms of food. In order to grab its food, it must be in the aforementioned pixel as its prey (prey do not move). Unfortunately as all animals, information technology is non perfect. It has limited noesis and capacities. What information technology can exercise is brand a decision each unit of measurement of time upon three possibilities: keep moving straight, turn slightly to the left, or turn slightly to the right. These decisions are relative to its current management.

As input it has simply memory consisting of knowledge likewise as knowledge of failure of the last three decisions. It lacks any sensorial capacity or knowledge of its location in the space.

The toroidal world is a square surface area on the top of the screen ( Figure 3 ); beneath it, a performance histogram volition announced ( Effigy iv ), describing by time intervals the grab that this predator has achieved through the bodily animation run.

No matter which decision this agent takes, at that place is a possibility of failure, and no matter how fitted it is, there is a possibility of being in a deserted area. With its limited information, information technology cannot avoid being starved at some intervals, but equally learning proceeds information technology changes its behavior, starting from a random walk and finishing with sinusoidal movement when information technology has encountered prey or with a more than straightforward movement when information technology has not. This improves the chances of catching prey when it is close to a patch ( Figure iv ). This blazon of strategy has been described in predators when casualty is found in clusters. A sinusoidal motion in a situation close to a patch volition increase the probability of keeping close to the patch and a direct motion in the reverse case will increase the probability of escaping from an empty expanse. This behavior has been described from small predators like insects all the way to humans (line-fishing vessels).

This example non simply shows the primary feature of an ANN, its learning capability, just also a way of classifying situations and relating them in this case to actions. This artificial animal is forecasting and taking the all-time action class that volition lead it to its prey.

Ecological computer science methods have great potential and are not limited to forecasting or classifying. In this case non only was this achieved, merely likewise a representation of learning or animal behavior, and an IBM was developed at the same time.

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Metformin ecology exposure: A systematic review

Eliane Papa Ambrosio-Albuquerque , ... Ana Luiza de Brito Portela-Castro , in Environmental Toxicology and Pharmacology, 2021

4.6 Effect of metformin on mammalian cells

The mammal most commonly used equally an indicator of environmental quality and change are mice, which can serve equally bioindicators of processes that occur within an private, individual species, or entire community. Based on the exclusion requirements used for this review, only studies on animals that did not have any specific diseases, such every bit diabetes, obesity, or cancer, were used.

Metformin tin can cross the placenta during gestational periods and be transferred through milk during lactation to be captivated by the offspring. Forcato et al. (2019) observed that maternal exposure to metformin did not influence the onset of maturity in female person offspring. They evaluated rats exposed to metformin during the intrauterine/lactational periods, and a significant increase in plasma estradiol was observed during the estrous phase in adulthood. This change was only observed in female person offspring exposed during the intrauterine and lactation periods, suggesting that the increase in plasma estradiol levels may be related to programming in theca and/or granular cells during development and that the observed change are related to the exposure time.

Metformin is ofttimes described every bit being associated with an increase in lactate production and has been shown to cause a shift toward anaerobic respiration, leading to increased lactate output by tissues. In mice, fetal testis cultured for 3 d in vitro, metformin targeted the factor expression of proteins involved in steroid production (Cyp11a1, 3bHSD, aromatase, Star), as shown by qRT-PCR assay. In vitro, the lowest observed issue concentration on testosterone secretion was fifty μM in humans and 500 μM in mouse testicles. The number of Sertoli cells, the auxiliary germ cells, was slightly reduced in the two periods: fetal period: P = 0.007; neonatal menstruum: P = 0.03 (Tartarin et al., 2012).

Other studies take reported that clinical signs, such as weight loss, are dependent on boilerplate torso dose and a transient decrease in average food consumption after the administration of metformin, compared to those of other animals without metformin treatment. Quaile et al. (2010) performed an oral administration of metformin and constitute an increase in minimal necrosis with inflammation in the parotid salivary gland for males and in bloodshed of iv females who received a dose of 900 mg/kg/day. Dose-dependent microscopic findings were present in the parotid, mandibular, and sublingual salivary glands in male and female rats administered with metformin at doses of ≥600 mg/kg/mean solar day and included epithelial inflammation.

Amador et al. (2012) tested the genotoxicity of Chinese hamster ovary cells CHO-K1 (chromosome aberrations; comet assays) exposed to metformin. The tests did not reveal chromosomal aberrations in metaphase cells. The analysis of cell viability using the trypan blueish exclusion test was used to determine the metformin dosage necessary to kill 50 % of the cells (LC_fifty). In previous studies, lower doses of LC₅₀ (15 % [114.four μg mL⁻¹] and 80 % [572 μg mL^−one]) were used to assess genotoxicity, and Dna damage was detected using the comet examination after 24 h of incubation. The DNA damage frequency was college at a concentration of 114.4 μg mL⁻¹. A higher dose of metformin suppressed the new bone marrow cells. Notwithstanding, the micronucleus frequencies betwixt the treatments were not significantly statistically unlike. The in vitro results indicate that chronic exposure to metformin tin potentially be genotoxic.

The use of mammals as beast models to study the effects of metformin is typically focused on clinical and not ecology studies.

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Urban environmental management: monitoring, GIS, and modeling

K Fedra , in Computers, Surroundings and Urban Systems, 1999

Urban environmental management must integrate the spatial, structural features of a city, typically captured in geographical information systems (GIS), and the dynamics of environmental quality indicators that tin can be obtained by monitoring. To provide decision-relevant information supporting planning and direction, these components are integrated in models for scenario analysis and optimisation tasks. The paper describes some results from an environmental Telematics projection (ECOSIM) and two Esprit projects (HITERM, SIMTRAP), likewise as a EUREKA EUROENVIRON project (AIDAIR), and applications in cities such as Vienna, Berlin, Geneva, Basel, Milano, Athens, Gdansk, and Izmir. Strategies for the integration of monitoring, GIS, and modeling are presented, that employ a common client–server compages, an object-oriented design, embedded practiced systems technology, and a multi-media user interface to support piece of cake access, and like shooting fish in a barrel use of complex analytical tools for urban environmental management.

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Biomonitoring as a prerequisite for sustainable water resources: a review of current status, opportunities and challenges to scaling upward in Eastward Africa

Frank O. Masese , ... Kobingi Nyakeya , in Ecohydrology & Hydrobiology, 2013

5.1 Scaling up

The apply of IBIs for monitoring of surface waters, not but in the LVB but also in the entire Due east Africa region, holds much promise given the level of success that previous developments have achieved. There is an increasing trend to use aquatic communities as indicators of environmental quality in the region, even though well-nigh of the piece of work has been washed outside the framework of multimetric indices (e.g., Shivoga, 2001; Ndaruga et al., 2004; Kibichii et al., 2007; Masese et al., 2009b; Minaya et al., 2013). All the same, in order to move from the traditional approach of concentrating much try on measuring physico-chemic parameters, which is often inconsistent because of the high expenses involved leading to gaps in information collection, there is a need for a shift to the use of biological indicators. Use of MMIs and IBIs is a good alternative in this regard.

However, inadequate reference information, which is useful as a ways of establishing community expectations following restoration initiatives, is a major hindrance to development of river health indices in the region. This limits our ability to set expectations in terms of what is to exist achieved. Development of IBIs is faced with another claiming of lack of historical information depicting unperturbed structural and functional system of aquatic biota in nearly aquatic ecosystems. However, as demonstrated already, other approaches exist that can be used to come up with metric expectations to serve the similar purpose of measuring human influence in terms of departures from what nosotros perceive to be baseline integrity. For now, this baseline integrity are the least-disturbed conditions that correspond the best-available chemical, concrete, and biological habitat conditions given the current state of man influence.

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Monitoring the Sustainable Intensification of Arable Agronomics: the Potential Role of World Observation

Merryn L. Hunt , ... Clare S. Rowland , in International Journal of Applied Earth Ascertainment and Geoinformation, 2019

four.2.i Vegetation Health

Environmental quality depends in part on the presence of healthy, various and abundant vegetation to provide ecosystem services including soil protection, carbon sequestration and overflowing prevention (Crossman et al., 2013; Hein, 2014 ). Vegetation health, in turn, relies on a healthy surround to provide essential resources, including stable soil substrate and nutrients. This interdependence suggests that agricultural and non-agricultural vegetation health tin can be used as an indicator of environmental quality within the agronomical system. Various aspects of vegetation health take been assessed using EO over a range of spatial (e.one thousand. field-/plot-scale to tens/hundreds km ⁱⁱ and global scale) and temporal scales (due east.g. single date assessments to decadal variation), in a various range of environments (e.yard. grasslands, shrublands, forests, rainforests, mountainous regions), including agricultural systems (e.g. corn farms, irrigated maize). Many of these studies were conducted using freely available satellite data including Landsat, MODIS and AVHRR, suggesting established methods exist, which can be readily applied to a range of environments. Examples of EO-based methods used to assess vegetation health tin can be plant in Table S3 in the Supplementary material.

Empirical models are commonly used to assess a diverseness of vegetation wellness-related backdrop. The frequency and timing of epitome acquisition affects the forcefulness of relationships between specific vegetation indices (VIs) (east.g. NDVI) and related variables (east.g. net primary productivity) (Tebbs et al., 2017). In some situations it may therefore exist preferable to employ coarser spatial resolution satellites which provide daily coverage (east.1000. MODIS), instead of effectively spatial resolution satellites with less frequent data acquisition (e.thousand. Landsat) (Jackson et al., 2004). The successful awarding of Radiative Transfer Models (RTMs) demonstrates the potential to develop (uncomplicated) algorithms to predict various plant traits from satellite data, spanning a range of vegetation types (Myneni et al., 1997; Trombetti et al., 2008).

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Can plant-pollinator network metrics indicate environmental quality?

R.G.S. Soares , ... L.Due east. Lopes , in Ecological Indicators, 2017

four Decision

The elaboration of this review highlighted some challenges in finding general patterns from specific studies on plant-pollinator interaction networks. Sometimes information technology was difficult to know exactly which metrics were calculated and discussed. If paper's focus was not on the metrics' beliefs and they were not direct presented in the paper and supplements, it was necessary to sympathize the metrics' behavior through the authors' interpretation. The scarce empirical information available is recent and variable, both in the bear on category studied as much as in the metrics evaluated. These factors hinder comparisons and conclusions about a given metrics for use as an indicator of changes in the network every bit a event of habitat degradation. In this review, we analyzed each metrics group for the different impact categories. The network response may differ amid impact categories, simply at that place is not even so enough data to discover those possible differences. For that reason we did not directly address this question. Nosotros besides could not address the question whether establish-pollinator networks equanimous by fewer species (lower sized) would answer differently to environmental quality changes than those with larger sizes. The establishment of databases considering the interactions and their frequencies will let for a more standardized analysis and for more than informative conclusions regarding the use of network metrics as indicators of environmental quality.

High temporal and spatial variation is known for some plant-pollinator assemblages. That intrinsic variation may change network structure and metrics, making it necessary to empathize the magnitude of intrinsic variation to aspect a particular outcome to environmental quality. Well designed replicated studies allow for estimating such effects separately. Notwithstanding, spatially synchronic furnishings such equally responses to climatic variation demand long term studies to be understood.

There is now an expectation that the bones structure of the network would be relatively robust to environmental changes (Nilsen and Totland, 2014; Padrón et al., 2009). The available information indicates that the network tends to reorganize towards a simpler stable form, maintaining the system bones functioning, but with losses of biodiversity. In 74% of the cases evaluated in this review (37 of 50 results of the network metrics in Tabular array ane), it was possible to identify variations in structural metrics nether unlike conditions of environmental quality. Discounting possible publication bias, information technology seems that network structure is non as robust as expected. Information technology is of import, in this discussion, to identify the magnitude of modify accepted by the predictions of robustness. In cases of environmental degradation, for instance, plant-pollinator interaction networks may still be more nested than random networks, just nestedness may vary compared to reference areas with better ecology quality.

The usage of network metrics as indicators requires predictable responses to changes in environmental quality. The bachelor empirical data indicated that species degree, nestedness and connectance did not accept a elementary, linear or unidirectional response to habitat degradation. Conversely, the metrics interaction asymmetry, d' (reciprocal specialization index of the species) showed the most consistent responses to environmental change. The part of the species inverse, ranging between generalists and specialists nether unlike conditions. In improver, specialist species with morphological and behavioral constraints were lost in worse environmental quality. Those changes in diet breath and local extinctions changed the values of those metrics. The identity of interacting species and their role in the network with a further specification of groups and interactions most afflicted are the properties with greater potential to signal changes of environmental quality. Most of the available studies focused on metrics at the network level, simply several studies and this review indicate that the patterns at the network level can exist better understood in the calorie-free of metrics analyzed at the species level.

Our results provide information that enriches the network analysis, highlighting the need to consider important features that are often neglected. Discussions and information compiled here are of import in deciding how to look at empirical information and what to await for, as well equally to point some caveats when interpreting data on establish-pollinator interactions with a complex network arroyo. Network metrics tin exist good indicators of environmental quality if the underlying ecological causes of the numerical changes were carefully analyzed.

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Post-occupancy evaluation: State-of-the-art analysis and state-of-the-exercise review

Peixian Li , ... Gail Brager , in Building and Environment, 2018

6 Word: condition and future research

Although POE has non become a norm in the edifice industry, information technology has adult rapidly over the past decade and volition go along growing equally more than people realize the importance of evaluating actual real-time performance and the of import role of occupant feedback.

The methodology of POE has been sufficiently well developed that many POE protocols are in widespread use in the UK, the US, Canada, Commonwealth of australia and other countries. But no standardized POE protocol has gained worldwide or nation-wide authority. It might be that the inherent nature of POE—i.e., that its purpose and associated methods are highly case-dependent—makes it hard to have a dominant standardized protocol for all the POE projects. However, ane prevailing protocol for one type of buildings is highly possible, especially for residential buildings and part/commercial buildings where well-nigh of the research efforts have been devoted.

From a closer perspective, it is inspiring that occupant feedback has become the major focus of POE studies, beyond the domain of social scientists. An occupant survey has get an essential piece of most POE methodologies, even by studies inside the edifice sciences, which accept traditionally focused on the concrete performance of the edifice. This reflects that a wider range of researchers now acknowledge that it is the people who occupy the spaces that have the power to determine the success or failure of a building. However, researchers should be aware of the nuanced challenges to assessing users' experience of the built environment, including "defining users, agreeing on the pregnant of experience, and organizing if not delimiting what is included in the notion of built surround" [172].

Current POE studies also have limitations. Despite the large number of POE studies that have been conducted, because POE results are largely context-based, the noesis gained can be difficult to generalize and then feed back to the whole building industry. Moreover, because of the frequent lack of integration between the design, construction and operation phases of a building, many POE projects are limited in terms of linking their evaluation back to the phases that were most responsible for the relative successes and failures. Pati and Pati [173] debate that designers take not fully benefitted from POEs. IPD (Integrated Project Commitment) might assistance avoid this, by bringing POE experts to the table where designers could pre-identify pattern decisions that need to be supported by POE.

If we regard POE every bit a "engineering" and refer to the technology adoption lifecycle proposed by Rogers [174] (Fig. 11), where the adopters are categorized into innovators, early on adopters, early majority, belatedly majority, and laggards, we might argue that POE is just at the first stage–only innovators adopt POE. Some of the barriers to more widespread adoption of POE include the ambiguity of who pays for POE, defending professional territory, split incentives within the procurement and operation processes, lack of agreed-upon and reliable indicators, potential liability issues, exclusion from current delivery expectations, and exclusion from professional curricula, etc. [175,176].

Moore [177] states that in that location is a chasm betwixt the early on adopters (Fig. eleven) where many technologies fail to be adopted by the mainstream. Rating systems for light-green building design (e.1000., LEED, etc.) have already crossed the chasm–they are in the early majority phase. If we desire POE to cantankerous the chasm, we need to create a bandwagon result in which enough momentum builds, and then POE becomes a de facto standard. The momentum can be internally driven (i.east., from building owners, operators, and occupants), or externally driven (i.e., from regulations, policies, LEED requirements, etc.).

In our opinion, POE can be more than useful if the post-obit transitions are made:

i: From one-off to continuing

Most of the POEs are one-off studies. Notwithstanding, in many cases, the studies constitute some problems that could not exist fully explained, or on the contrary, no problems were identified. In some cases, this could be because the telescopic and methodology were not well defined. Thus, a more constructive strategy would exist to take a continuing POE with a phased approach to the level-of-detail in the methods; i.e., use relatively inexpensive and easy methods to evaluate broad aspects in the first phase, and then use those findings to decide which areas of the edifice or performance issues require further in-depth study in subsequent phases. Vischer [175] also mentioned the need for a few, carefully selected indicators of environmental quality and, considering the toll of instrument measurements, she suggested to "use the analysis of user responses to signal where and when follow-up instrument measures might clarify the nature of the bug identified and bespeak possible solutions".

2: From loftier-level to detailed

Some high-level POE methods are standardized, while the more than nuanced details of POE methods are less and then, and may need to exist standardized also to render a more reliable interpretation of the results. For case, high-level whole-building energy performance is hands measured via bills and meters. But we demand more standardized methods to understand detailed cease-use patterns, or to collect more accurate occupancy information to recalibrate the energy model and, thus, to enable a more fair and accurate comparison between the predicted and the actual operation.

3: From researchers-oriented to owners/occupants-oriented

The POE results are oft compiled in a report or a paper with all the technical figures and charts. However, non-professionals like the owners and occupants besides demand to sympathise the buildings' functioning. Research is needed on how to provide more bright visualization of POE results.

iv: From academia to industry

Right now, academic researchers are the main developers and users of POE. Learning from the success of green building certifications worldwide, manufacture should play a stronger role in driving the evolution and implementation of POE.

v: From contained to integrated

POE is often a discrete activity, independent from the ongoing building direction. But to exploit the effectiveness of the evaluation, it is meliorate to regard POE as an integrated part of the building management. For example, one might continuously feed the results of occupant satisfaction surveys to the building automation command system, or feed the assessed facility weather condition to the facility direction organization, etc. Although it was non a continuous procedure, an endeavour was made by Cao et al., who used a survey to quantify occupant satisfaction and so developed an amanuensis-based model to prioritize maintenance piece of work to achieve maximum occupant satisfaction [178].

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