Fig 2 - uploaded by Bence Decsi
Content may be subject to copyright.
Violin plot of the Spearman’s ρ rank correlation coefficients (SRC) of the results maps per tool pairs A: Flood control, B: Erosion control, C: Phosphorus retention Note: H1D refers to GIS-H1D and WSB refers to GIS-WSB
Source publication
The pursuit of good management of our waters poses permanent challenges to the whole society. Decision-makers often need to define appropriate and sustainable strategies on interdisciplinary topics, like water management issues. The rapidly evolving quantification and mapping of hydrologic ecosystem services (HES) is putting hydrologic and water ma...
Citations
... Previous research demonstrated a significant correlation between the simulation results of the SWAT and InVEST models [129,130]. Because SWAT's simulations are anchored in comprehensive hydrological processes and expertise, they tend to exhibit a higher degree of accuracy and reliability [131,132]. Nevertheless, the SWAT model, with data-intensive characteristics, requires long-term hydrological monitoring data and intricate calibration procedures [54,133,134]. In the context of the MJRB, the sparse distribution of hydrological stations poses a challenge in capturing widespread sediment transport patterns, especially in regions with complex topography. ...
... Consequently, the advantages of the SWAT model cannot be fully exploited without detailed sediment observed data. In comparison, the InVEST model features more moderate data demands, hydrological knowledge reserves, and a simplified calibration process [131,135]. Furthermore, it merits emphasis that the SDR module of InVEST can quantify sediment exported to streams accounting for the effects of vegetation interception. Hence, the InVEST model proved to be a good compromise for sediment simulation [132]. ...
Accurately delineating sediment export dynamics using high-quality vegetation factors remains challenging due to the spatio-temporal resolution imbalance of single remote sensing data and persistent cloud contamination. To address these challenges, this study proposed a new framework for estimating and analyzing monthly sediment inflow to rivers in the cloud-prone Minjiang River Basin. We leveraged multi-source remote sensing data and the Continuous Change Detection and Classification model to reconstruct monthly vegetation factors at 30 m resolution. Then, we integrated the Chinese Soil Loss Equation model and the Sediment Delivery Ratio module to estimate monthly sediment inflow to rivers. Lastly, the Optimal Parameters-based Geographical Detector model was harnessed to identify factors affecting sediment export. The results indicated that: (1) The simulated sediment transport modulus showed a strong coefficient of determination (R2 = 0.73) and a satisfactory Nash–Sutcliffe efficiency coefficient (0.53) compared to observed values. (2) The annual sediment inflow to rivers exhibited a spatial distribution characterized by lower levels in the west and higher in the east. The monthly average sediment value from 2016 to 2021 was notably high from March to July, while relatively low from October to January. (3) Erosive rainfall was a decisive factor contributing to increased sediment entering the rivers. Vegetation factors, manifested via the quantity (Fractional Vegetation Cover) and quality (Leaf Area Index and Net Primary Productivity) of vegetation, exert a pivotal influence on diminishing sediment export.
... InVEST and SWAT, which is verified in Cong et al. (2020)and in Decsi et al. (2022)for indicators of water quality, erosion control, water supply and/or flood control. The keywords related to climate and land use changes were grouped in the same cluster and showed a relationship with cluster 4, demonstrating a relationship between SEH and climate change studies (Table 4, Web Panel 3 ). ...
Objective: Evaluate the estimation of nature's contributions to people - NCP (i.e. ecosystem services - ES) through bibliographic mapping and systematization of methodologies, tools and indicators of hydrological ecosystem services (HES). Theoretical Framework: Predatory exploitation of ecosystems is causing increasingly severe impacts on humanity. Accelerated by population growth, changes in land use and the decoupling of measures recommended by science from those adopted by nations, climate change is triggering alterations in the global hydrological cycle. Adaptation strategies depend on the production of information on the supply and flow of HES. Method: Consultation of the Web of Science, Scopus and Science Direct databases, and systematic bibliographic mapping (2014-2024), with bibliometric analysis in the VOSviewer software, and recording of information on NCP, ES, metrics, methodologies for quantifying HES and respective indicators. Results and Discussion: A total of 743 abstracts were analyzed and 196 articles were selected. Of these, 103 estimated HES, with a predominance of studies on a river basin scale. Seventy-nine indicators were mapped, mostly biophysical, associated with water flow regulation and water quality. China was the most represented country in terms of mapped area. The most widely used models were InVEST and SWAT. Research Implications: Systematization of information for users interested in mapping and quantifying HES, with an indication of established aspects, methods, and knowledge gaps. Originality/Value: Mapping based on HES indicators, aggregation of studies under different ES frameworks and provision of a dynamic results panel, with spatialization of studies and various data filtering possibilities.
... Various models have been used to assess HESs (e.g., Bagstad et al., 2013;. The most common of these models are InVEST (Decsi et al., 2022), MIMES (Boumans et al., 2015), ARIES (Bagstad et al., 2011), FIESTA (Mulligan and Burke, 2005), GUMBO (Boumans et al., 2002) and SWAT (Uniyal et al., 2023). Through a comparison of HESs assessment models, most studies showed a significant inclination towards modeling specific types of ESs, such as those associated with water, soil, and climate. ...
... Hydrological modeling is a tool for predicting the effect of soil water balance components on ecosystem services (Decsi et al., 2022), agricultural crop growth (Siad et al., 2019), groundwater recharge and pollution (Amin et al., 2017;Nolte et al., 2021), erosion, and soil loss (Shojaei et al., 2020), among other practical applications. Hydrological models based on the Richards equation require the quantitative description of VAN LIER ET AL. ...
The uncertainty in soil hydraulic parameters is often not taken into account in process‐based hydrological modeling. Performing runs with 10⁴ stochastic parameter realizations, we evaluated the propagation of uncertainty in the Van Genuchten–Mualem (VGM) parameters into estimates of the threshold values of soil water content used to calculate the total and readily available water, and on the long‐term (30 years) simulations of evaporation, transpiration, bottom flux, and runoff by the SWAP hydrological model. The simulated scenarios included weather data from a location in southeast Brazil and seven soils from the same region cropped with maize, comprising a wide range of texture classes. The results showed that uncertainties in VGM parameters affect the estimates of total and readily available water. Water balance components obtained by a deterministic simulation with average VGM parameters did not always agree with the average or median of stochastic simulations, and stochastic simulations including parameter uncertainties should be preferred. Variations in yearly rainfall characteristics were more important for bottom flux and evaporation, while transpiration and runoff were more strongly influenced by the variations in soil hydraulic properties.
... The most common way to map and assess ecosystem service multifunctionality is to aggregate a set of ecosystem services into one metric [18]. This can be accomplished by calculating the number, average or sum of all the available services within a spatial unit or, alternatively, by including only the services provided at or above a certain level (the 'threshold' approach) [20][21][22][23]. The threshold method is widely recommended for indicating whether multiple functions have high value without the predominance of a single function or service affecting the result [24,25]. ...
... In addition to the differences between ecosystem types, the effect of topography is also visible on our multifunctionality map; mountainous regions show higher ecosystem service multifunctionality. One reason is the inclusion of a relatively high number of topography-(and soil-) dependent hydrological services (see Table 1 and [23]). However, there is also an interplay between topography and ecosystem types as the hilly and mountainous regions of Hungary are covered primarily by native near-natural forests, which performed well in terms of most of the examined services. ...
Human well-being needs healthy ecosystems, providing multiple ecosystem services. Therefore, the assessment of ecosystems on large scales is a priority action. In Hungary, this work (MAES-HU) took place between 2016 and 2022. Twelve ecosystem services (ES) were mapped and assessed along with several ecosystem condition (EC) indicators. Their integrated spatial analysis aimed to identify patterns of ES multifunctionality, reveal relationships between EC and ES and delineate ES bundles. The results show outstanding multifunctionality of natural ecosystem types compared with the more artificial types, emphasizing the importance of natural areas in order to fulfil human needs. Native forests provide the most varied range of services, which underlines the importance of forest management to consider multiple services. There is a positive correlation between condition and multifunctionality in forests; areas in better condition (in terms of species composition and structure) provide more services at an outstanding level. ES bundles mainly reflect the major ecosystem types, topography and forest condition. Our analysis represents an example of synthesizing national MAES results with a combination of methods. Finding ES hotspots on a national scale and connecting them with an assessment of EC may help in finding optimal strategies to balance conservation targets and competing land uses.
... While reliable and appropriate data are scarce, there is no appropriate modelling tool available to simulate rainfall scenarios accurately and generate stormwater quality and quantity data. In fact, most of the commonly used hydrological modelling tools are not capable of accurately simulating complex hydrological phenomena because (1) complex models require data that are not available in common databases; (2) simplistic models generate less accurate estimations; (3) lack of data for model calibration; (4) models having correlating parameters result in problematic calibration outcomes and (5) models lack in-built automatic calibration procedures (MikeUrban 2019; King et al. 2021;Decsi et al. 2022). Furthermore, the approach of model calibration for parameter estimation can have a critical effect on the accuracy of final predictions. ...
Urbanisation increases pollutant generation within catchments and their transport to receiving waters. Changes to rainfall patterns, particularly in the age of climate change, make pollution mitigation a challenging task. Understanding how rainfall characteristics could influence the changes to stormwater pollutant runoff is important for designing effective mitigation strategies. This study employed a pattern-based assessment of relationships between rainfall characteristics and stormwater quality in urban catchments to develop this understanding. The research outcomes showed that rainfall events could be distinctly clustered based on intensity and duration, and each cluster of events would produce different stormwater quality responses. The high-intensity bursts occurring in the latter part of long-duration events were found to produce uniform and low concentrations of suspended solids. One the contrary, high intensity bursts occurring in the initial part of short-duration events triggered the first-flush effect, thus producing high concentrations of suspended solids. Furthermore, the first-flush effect was likely to present when the high intensity bursts occurred in the mid portion of rainfall events and produced variable concentrations of suspended solids. It was also found that the average rainfall intensity plays a key role in mobilising and transporting pollutants accumulated on urban surfaces.
HIGHLIGHTS
Rainfall events were clustered based on stormwater quality responses.;
Different portions of rainfall produce different stormwater quality responses.;
High-intensity bursts in short-duration rainfall events trigger first flush.;
High-intensity bursts in the mid portion of rainfall are likely to trigger first flush.;
The average rainfall intensity plays a key role in mobilising and transporting pollutants.;
... Due to the high demand for information in some hydrological models [30] and the lack of hydroclimatic information in remote zones, it is necessary to explore models that require less information and computational effort but can still provide a good approximation of hydrological services assessment [31]. One such tool is the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) [32], a model developed in 2007 by Stanford University, the World Wildlife Fund (WWF), and the Nature Conservancy (TCN). ...
Citation: Valencia, J.B.; Guryanov, V.V.; Mesa-Diez, J.; Tapasco, J.; Gusarov, A.V. Assessing the Effectiveness of the Use of the InVEST Annual Water Yield Model for the Rivers of Colombia: A Case Study of the Meta River Basin. Water 2023, 15, 1617. https://doi. Abstract: This paper presents the results of one of the hydrological models, the InVEST "Annual Water Yield" (InVEST-AWY), applied to the Meta River basin in Colombia, which covers an area of 113,981 km 2. The study evaluates the performance of the model in different subbasins of the Meta River basin. The model's accuracy was assessed using different statistical measures, including Nash-Sutcliffe Efficiency (NSE) coefficient, Root Mean Square Error (RMSE), correlation coefficients for the calibration (r cal) and validation (r val) periods. The overall performance of the model in the Meta River basin is relatively poor as indicated by the low NSE value of 0.07 and high RMSE value of 1071.61. In addition, the model explains only a 7% of the variance in the observed data. The sensitivity analysis revealed that a 30% reduction in crop coefficient (Kc) values would result in a 10.7% decrease in water yield. The model estimated, for example, the annual average water yield of the river in 2018 as 1.98 × 10 11 m 3 /year or 6273.4 m 3 /s, which is 1.3% lower than the reported value. The upper Meta River subbasin shows the highest NSE value (0.49), indicating a good result between observed and simulated water discharge. In contrast, the South Cravo River subbasin shows a negative NSE value of −1.29, indicating poor model performance. The Yucao River subbasin and the upper Casanare River subbasin also show lower NSE values compared to the upper Meta River subbasin, indicating less accurate model performance in these subbasins. The correlation coefficients in calibration (r cal) and validation (r val) for the upper Meta River, Yucao River, South Cravo River, and upper Casanare River subbasins were 0.79 and 0.83, 0.4 and 0.22, 0.5 and −0.25, and 0 and 0.18, respectively. These results provide useful insights into the limitations for the proper use of the InVEST-AWY model in Colombia. This study is the first to use the InVEST-AWY model on a large scale in the territory of Colombia, allowing to evaluate its effectiveness in hydrological modeling for water management.
Hydrological Ecosystem Services (HES) are crucial components of environmental sustainability and provide indispensable benefits. The present study identifies critical hot and cold spots areas of HES in the Aglar watershed of the Indian Himalayan Region using six HES descriptors, namely water yield (WYLD), crop yield factor (CYF), sediment yield (SYLD), base flow (LATQ), surface runoff (SURFQ), and total water retention (TWR). The analysis was conducted using weightage-based approaches under two methods: (1) evaluating six HES descriptors individually and (2) grouping them into broad ecosystem service categories. Furthermore, the study assessed pixel-level uncertainties that arose because of the distinctive methods used in the identification of hot and cold spots. The associated synergies and trade-offs among HES descriptors were examined too. From method 1, 0.26% area of the watershed was classified as cold spots and 3.18% as hot spots, whereas method 2 classified 2.42% area as cold spots and 2.36% as hot spots. Pixel-level uncertainties showed that 0.57 km² and 6.86 km² of the watershed were consistently under cold and hot spots, respectively, using method 1, whereas method 2 identified 2.30 km² and 6.97 km² as cold spots and hot spots, respectively. The spatial analysis of hot spots showed consistent patterns in certain parts of the watershed, primarily in the south to southwest region, while cold spots were mainly found on the eastern side. Upon analyzing HES descriptors within broad ecosystem service categories, hot spots were mainly in the southern part, and cold spots were scattered throughout the watershed, especially in agricultural and scrubland areas. The significant synergistic relation between LATQ and WYLD, and sediment retention and WYLD and trade-offs between SURFQ and HES descriptors like WYLD, LATQ, sediment retention, and TWR was attributed to varying factors such as land use and topography impacting the water balance components in the watershed. The findings underscore the critical need for targeted conservation efforts to maintain the ecologically sensitive regions at watershed scale.
A intensidade da chuva é uma grandeza de importância na modelagem hidrológica, especialmente em estudos relacionados com a erosão e a recarga de aquíferos, no entanto, essa grandeza não é regularmente medida ou reportada por estações meteorológicas. O objetivo desse trabalho foi apresentar um método para a obtenção da intensidade da chuva a partir de dados pluviométricos. Um exemplo para o caso da estação meteorológica da Universidade de São Paulo em Piracicaba, SP é apresentado, utilizando-se 25 anos de observações. Concluiu-se que o processamento das informações foi realizado com êxito, podendo a metodologia proposta ser aplicada em outros conjuntos de dados. Para o caso avaliado (Piracicaba, SP), os dados se ajustaram bem a uma equação senoidal em função da data ordinal, com média de 13,37 mm h-1, amplitude de 8,13 mm h-1 e máximo em 15 de janeiro.
