A collaborated framework to improve hydrologic ecosystem services management with sparse data in a semi-arid basin

Abstract Applying various models to assess hydrologic ecosystem services (HESs) management has the potential to encourage efficient water resources allocation. However, can a single model designed on these principles be practical to carry out hydrologic ecosystem services management for all purposes? We address this question by fully discussing the advantages of the variable infiltration capacity (VIC) model, the soil and water assessment tool (SWAT), and the integrated valuation of ecosystem services and tradeoffs (InVEST) model. The analysis is carried both qualitatively and quantitatively at the Yixunhe River basin, China, with a semi-arid climate. After integrating the advantages of each model, a collaborated framework and model selection method have been proposed and validated for optimizing the HESs management at the data sparse scenario. Our study also reveals that the VIC and SWAT model presents the better runoff reproducing ability of the hydrological cycle. Though the InVEST model has less accuracy in runoff simulation, the interannual change rate is similar to the other two models. Furthermore, the InVEST model (1.08 billion m3) has larger simulation result than the SWAT model (0.86 billion m3) for the water yield, while both models have close results for sediment losses assessment.

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Spatiotemporal Variation in Ecosystem Services and Their Drivers among Different Landscape Heterogeneity Units and Terrain Gradients in the Southern Hill and Mountain Belt, China

Remote Sensing ◽

10.3390/rs13071375 ◽

2021 ◽

Vol 13 (7) ◽

pp. 1375

Author(s):

Liang-Jie Wang ◽

Shuai Ma ◽

Jiang Jiang ◽

Yu-Guo Zhao ◽

Jin-Chi Zhang

Keyword(s):

Ecosystem Services ◽

Soil Conservation ◽

Net Primary Productivity ◽

Landscape Heterogeneity ◽

Driving Factors ◽

Water Yield ◽

Invest Model ◽

Casa Model ◽

Mountain Belt ◽

Integrated Valuation

Understanding the spatiotemporal heterogeneity of ecosystem services (ESs) and their drivers in mountainous areas is important for sustainable ecosystem management. However, the effective construction of landscape heterogeneous units (LHUs) to reflect the spatial characteristics of ESs remains to be studied. The southern hill and mountain belt (SHMB) is a typical mountainous region in China, with undulating terrain and obvious spatial heterogeneity of ESs, and was selected as the study area. In this study, we used the fuzzy k-means (FKM) algorithm to establish LHUs. Three major ESs (water yield, net primary productivity (NPP), and soil conservation) in 2000 and 2015 were quantified using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and Carnegie Ames-Stanford approach (CASA) model. Then, we explored the spatial variation in ESs along terrain gradients and LHUs. Correlation analysis was used to analyze the driving factors of ESs in each terrain region and LHU. The results showed that altitude and terrain niche increased along LHUs. Water yield and soil conservation increased from 696.86 mm and 3920.19 t/km2 to 1061.12 mm and 5117.90 t/km2, respectively, while NPP decreased from 666.95 gC/m2 to 648.86 gC/m2. The ESs in different LHUs differed greatly. ESs increased first and then decreased along LHUs in 2000. In 2015, water yield decreased along LHUs, while NPP and soil conservation showed a fluctuating trend. Water yield was mainly affected by precipitation, temperature and NDVI were the main drivers of NPP, and soil conservation was greatly affected by precipitation and slope. The driving factors of the same ES were different in different terrain areas and LHUs. The variation and driving factors of ESs in LHUs were similar to some terrain gradients. To some extent, LHUs can represent multiple terrain features. This study can provide important support for mountain ecosystem zoning management and decision-making.

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Climate Change Impact on Spatiotemporal Hotspots of Hydrologic Ecosystem Services: A Case Study of Chinan Catchment, Taiwan

Water ◽

10.3390/w11040867 ◽

2019 ◽

Vol 11 (4) ◽

pp. 867 ◽

Cited By ~ 1

Author(s):

Li-Chun Peng ◽

Yu-Pin Lin ◽

Guan-Wei Chen ◽

Wan-Yu Lien

Keyword(s):

Climate Change ◽

Ecosystem Services ◽

General Circulation ◽

Spatial Association ◽

General Circulation Models ◽

Water Yield ◽

Invest Model ◽

Integrated Valuation ◽

Sediment Export ◽

The Impact

Hydrologic ecosystem services are greatly affected by the changing climate. In this study, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model was used to quantify hydrologic ecosystem services. Five general circulation models (GCMs) and two representative concentration pathways (RCPs) were selected to estimate hydrologic ecosystem services. The Local Indicators of Spatial Association (LISA) index was used to identify hydrologic ecosystem hotspots. The hotspots were used to evaluate the impact of climate change on the services. Results indicate that annual water yields vary from −17% to 8%, with significant intra-year fluctuation. Compared to baseline data, the CESM1-CAM5 predicts an increase of 45% in June, but HadGEM2-AO predicts a drop to only 12% in January. Sediment export results show a similar trend to water yield, with sediment export increasing significantly under RCP 8.5, and monthly sediment export increases concentrated from June and October. Nitrogen and phosphorous exports both show less significant changes but obvious intra-year variations. The CESM1-CAM5 predicts strong seasonal and spatial variation of the hydrologic ecosystem services. Our proposed approach successfully identifies annual and monthly hotspot spatial changes of hydrologic ecosystem services under climate change.

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A Flexible Framework HydroInformatic Modeling System—HIMS

Water ◽

10.3390/w10070962 ◽

2018 ◽

Vol 10 (7) ◽

pp. 962 ◽

Cited By ~ 4

Author(s):

Lili Wang ◽

Zhonggen Wang ◽

Changming Liu ◽

Peng Bai ◽

Xiaocong Liu

Keyword(s):

Assessment Tool ◽

Swat Model ◽

Model Performance ◽

Arid Areas ◽

Hydrological Models ◽

Runoff Generation ◽

Infiltration Capacity ◽

Water Cycling ◽

Generation Mechanisms ◽

Semi Arid

It is important to simulate streamflow with hydrological models suitable for the particular study areas, as the hydrological characteristics of water cycling processes are distinctively different due to spatial heterogeneity at the watershed scale. However, most existing hydrological models cannot be customized to simulate water cycling processes of different areas due to their fixed structures and modes. This study developed a HydroInformatic Modeling System (HIMS) model with a flexible structure which had multiple equations available to describe each of the key hydrological processes. The performance of the HIMS model was evaluated with the recommended structure for semi-arid areas by comparisons with two datasets of observed streamflow: the first one of 53 Australian watersheds, the second one of the Lhasa River basin in China. Based on the first dataset, the most appropriate watersheds were identified for the HIMS model utilization with areas of 400–600 km2 and annual precipitation of 800–1200 mm. Based on the second dataset, the model performance was statistically satisfied with Nash-Sutcliffe Efficient (NSE) greater than 0.87 and Water Error (WE) within ±20% on the streamflow simulation at hourly, daily, and monthly time steps. In addition, the water balance was mostly closed with respect to precipitation, streamflow, actual evapotranspiration (ET), and soil moisture change at the annual time steps in both the periods of calibration and validation. Therefore, the HIMS model was reliable in estimating streamflow and simulating the water cycling processes for the structure of semi-arid areas. The simulated streamflow of HIMS was compared with those of the Variable Infiltration Capacity model (VIC) and Soil and Water Assessment Tool (SWAT) models and we found that the HIMS model performed better than the SWAT model, and had similar results to the VIC model with combined runoff generation mechanisms.

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Water Availability In Patuha Mountain Region Using InVEST Model “Hydropower Water Yield”

E3S Web of Conferences ◽

10.1051/e3sconf/201912501015 ◽

2019 ◽

Vol 125 ◽

pp. 01015

Author(s):

Yudistiro ◽

Eko Kusratmoko ◽

Jarot Mulyo Semedi

Keyword(s):

Ecosystem Services ◽

High Volume ◽

Mountain Region ◽

Water Yield ◽

Mountainous Area ◽

Yield Model ◽

Invest Model ◽

Catchment Areas ◽

Lowland Area ◽

Integrated Valuation

The mountainous region provides ecosystem services for the surrounding area and its lowland area. Patuha Mountain Region located in Ciwidey, Rancabali and Pasirjambu district of Bandung Regency. Fast population growth causing the need for water to increase drastically. The water yield from an ecosystem or watershed can be estimated using a hydrological model. This study aimed to estimate water yield, both the magnitude and their spatial distribution of the Patuha Mountain catchment areas. The water yield from the study area was calculated using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) water yield model, which based on the water balance approach. The results indicated that the volume of water yield in Patuha Mountain for 2018 has a value between 21.429 to 31.857 m3/ha/year and approximately 1.202 million m3 per year. Spatially, sub-watersheds with a high volume of Water yield located in the southeast of Patuha Mountain, which is a mountainous area with an elevation of more than 1.500 m above sea level and rainfall average of 2.500 to 3300 mm per year. The water yield area also shows the same pattern with the distribution of the rainfall area.

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Evaluation of Ecosystem Services in the Dongting Lake Wetland

Water ◽

10.3390/w11122564 ◽

2019 ◽

Vol 11 (12) ◽

pp. 2564 ◽

Cited By ~ 2

Author(s):

Li Ma ◽

Ruoxiu Sun ◽

Ehsan Kazemi ◽

Danbo Pang ◽

Yi Zhang ◽

...

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Soil Conservation ◽

Temporal Variations ◽

Dongting Lake ◽

Water Yield ◽

Invest Model ◽

Trade Offs ◽

Land Use Types ◽

Integrated Valuation

The Aeronautical Reconnaissance Coverage Geographic Information System (ArcGIS) 10.2 and Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model are used to comprehensively evaluate ecosystem services in the Dongting Lake Wetland, focusing on water yield, soil conservation, carbon storage, and snail control and schistosomiasis prevention. The spatial and temporal variations of these services, as well as their variations between different land use types in a period of 10 years from 2005 to 2015, are investigated, and the value of such services is then estimated and analyzed. The results of this study show various temporal and spatial trends in the ecosystem services, such as (1) the overall increase of all these services during the study period (although significant in some services, such as schistosomiasis patient reduction, by 86.8%; and, very slight in some others such as soil conservation, only by 0.02%); (2) different orders of the services values that are based on different land use types; and, (3) the temporal changes in the proportion of the values of different ecosystem services with respect to the total services value. Besides, it is concluded that the evaluation of ecosystem services of a certain wetland is heavily dependent on the characteristics of the area where the wetland is located, and the assessment indicators and methods should be selected based on such characteristics through the analysis of the results and a comparison with the findings of literature.

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Impacts of Strict Cropland Protection on Water Yield: A Case Study of Wuhan, China

Sustainability ◽

10.3390/su11010184 ◽

2019 ◽

Vol 11 (1) ◽

pp. 184 ◽

Cited By ~ 1

Author(s):

Xinli Ke ◽

Liye Wang ◽

Yanchun Ma ◽

Kunpeng Pu ◽

Ting Zhou ◽

...

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Urban Expansion ◽

Critical Factor ◽

Vital Role ◽

Water Yield ◽

Rapid Urbanization ◽

Invest Model ◽

Integrated Valuation ◽

The Impact

Land use and land cover change is a critical factor of ecosystem services, while water yield plays a vital role in sustainable development. The impact of urban expansion on water yield has long been discussed, but water yield change resulting from cropland protection is seldom concerned. Therefore, this paper aims to investigate the impacts of cropland protection on water yield by comparing the water yield in two cropland protection scenarios (i.e., Strict Cropland Protection scenario and No Cropland Protection scenario). Specifically, the LAND System Cellular Automata for Potential Effects (LANDSCAPE) model was employed to simulate land use maps in the two scenarios, while Water Yield module in the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model was used to calculate water yield. The results show water yield would increase by 8.7 × 107 m3 in the No Cropland Protection scenario and 9.4 × 107 m3 in the Strict Cropland Protection scenario. We conclude that implementation of strict cropland protection in rapid urbanizing areas may cause more water yield, which is also a prerequisite of potential urban flooding risk. This study throws that it is not wise to implement strict cropland protection policy in an area of rapid urbanization.

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InVEST Model-Based Estimation of Water Yield in North China and Its Sensitivities to Climate Variables

Water ◽

10.3390/w12061692 ◽

2020 ◽

Vol 12 (6) ◽

pp. 1692 ◽

Cited By ~ 2

Author(s):

Guodong Yin ◽

Xiao Wang ◽

Xuan Zhang ◽

Yongshuo Fu ◽

Fanghua Hao ◽

...

Keyword(s):

Ecosystem Services ◽

North China ◽

Temporal Variations ◽

Positive Influence ◽

Mean Annual Precipitation ◽

Water Yield ◽

Climate Variables ◽

Invest Model ◽

Integrated Valuation ◽

Mitigate Climate Change

A revegetation program in North China could potentially increase carbon sequestration and mitigate climate change. However, the responses of water yield ecosystem services to climate factors are still unclear among different vegetation types, which is critically important to select appropriate species for revegetation. Based on the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, we estimated the temporal variations and associated factors in water yield ecosystem services in North China. The result showed that the InVEST model performed well in water yield estimation (R2 = 0.93), and thus can be successfully applied across the study area. The total water yield across North China is 6.19 × 1010 m3/year, with a mean water yield (MWY) of 47.15 mm/year. A large spatial difference in the MWY was found, which is strongly related to temperature, precipitation, and land use types. The responses of the MWY to mean annual precipitation (MAP) are closely tied to temperature conditions in forests and grasslands. The sensitivities of the MWY to climate variables indicated that temperature fluctuation had a positive influence on the forest MWY in humid regions, and the influence of precipitation on grassland water yield was enhanced in warmer regions. We suggest shrub and grass would be more suitable revegetation programs to improve water yield capacity, and that climate warming might increase the water yield of forests and grasslands in humid regions in North China.

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ESTIMASI HASIL AIR DARI DAERAH TANGKAPAN AIR DANAU RAWA PENING DENGAN MENGGUNAKAN MODEL INVEST

MAJALAH ILMIAH GLOBE ◽

10.24895/mig.2017.19-2.578 ◽

2017 ◽

Vol 19 (2) ◽

pp. 157

Author(s):

Nunung Puji Nugroho

Keyword(s):

Spatial Distribution ◽

Ecosystem Services ◽

Water Resources ◽

High Water ◽

Water Yield ◽

Accurate Information ◽

Yield Model ◽

Catchment Areas ◽

Integrated Valuation ◽

Valuation Of Ecosystem Services

ABSTRAKInformasi hasil air dari suatu ekosistem sangat penting dalam pengelolaan sumber daya air. Dalam perencanaan kegiatan konservasi sumber daya air, informasi sebaran spasial hasil air diperlukan untuk menentukan prioritas wilayah terkait dengan alokasi anggaran. Hasil air dari suatu ekosistem atau daerah aliran sungai (DAS) dapat diestimasi dengan menggunakan model hidrologi. Penelitian ini bertujuan untuk mendapatkan informasi tentang hasil air, baik besaran maupun sebaran spasialnya, dari daerah tangkapan air (DTA) Danau Rawa Pening. Hasil air dari lokasi penelitian dihitung dengan menggunakan model hasil air pada InVEST (the Integrated Valuation of Ecosystem Services and Tradeoffs), yang didasarkan pada pendekatan neraca air. Hasil perhitungan menunjukkan bahwa volume hasil air di DTA Danau Rawa Pening pada tahun 2015 adalah sekitar 337 juta m3. SubDAS Galeh, sebagai subDAS terluas, merupakan penghasil air terbesar (72,4 juta m3) diikuti oleh subDAS Sraten (66,8 juta m3) dan Parat (62,4 juta m3). Secara spasial, hasil air di lokasi kajian mempunyai nilai antara 0 hingga 29.634,19 m3/ha. Wilayah hulu dan tengah subDAS Sraten secara umum mempunyai hasil air yang lebih tinggi, sedangkan wilayah danau dan sekitarnya serta hulu subDAS Galeh mempunyai hasil air yang lebih rendah dibandingkan dengan wilayah lainnya. Wilayah dengan hasil air tinggi dapat diprioritaskan dalam kegiatan konservasi sumber daya air untuk mendukung pasokan air ke Danau Rawa Pening.Kata kunci: hasil air, daerah tangkapan air, model InVEST, Danau Rawa PeningABSTRACTAccurate information on water yield from an ecosystem is very important in the management of water resources. In the planning of water resources conservation activities, the information on the spatial distribution of water yield is needed to determine regional priorities related to budget allocations. The water yield from an ecosystem or watershed can be estimated using a hydrological model. This study aimed to obtain information about the water yield, both the magnitude and their spatial distribution, from the catchment areas of Lake Rawa Pening. The water yield from the study area was calculated using the water yield model in InVEST (the Integrated Valuation of Ecosystem Services and Tradeoffs), which based on the water balance approach. The results indicated that the volume of water yield in Lake Rawa Pening for 2015 is approximately 337 million m3. Galeh subwatershed, as the largest subwatershed, is the largest water producer (72.4 million m3), followed by Sraten subwatershed (66.8 million m3) and Parat subwatershed (62.4 million m3). Spatially, the water yield at the study site has a value between 0 to 29,634.19 m3/ha. Upstream and middle areas of Sraten subwatershed generally have higher water yield, while the lake and its surrounding areas as well as the upstream of Galeh subwatershed have lower water yield compared to other regions. The regions with high water yield can be prioritized in water resource conservation activities to support the supply of water to Lake Rawa Pening.Keywords: water yield, catchment areas, InVEST model, Lake Rawa Pening

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Applicability and Hydrologic Substitutability of TMPA Satellite Precipitation Product in the Feilaixia Catchment, China

Water ◽

10.3390/w12061803 ◽

2020 ◽

Vol 12 (6) ◽

pp. 1803

Author(s):

Xiaoli Chen ◽

Guoru Huang

Keyword(s):

Assessment Tool ◽

Swat Model ◽

Tropical Rainfall Measuring Mission ◽

Climatic Conditions ◽

High Latitudes ◽

Climate Trends ◽

Runoff Simulation ◽

Satellite Precipitation ◽

Precipitation Analysis ◽

Water Assessment

The assessment of various precipitation products’ performances in extreme climatic conditions has become a topic of interest. However, little attention has been paid to the hydrological substitutability of these products. The objective of this study is to explore the performance of the Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis (TMPA) product in the Feilaixia catchment, China. To assess its applicability in extreme consecutive climates, several statistical indices are adopted to evaluate the TMPA performance both qualitatively and quantitatively. The Cox–Stuart test is used to investigate extreme climate trends. The Soil and Water Assessment Tool (SWAT) model is used to test the TMPA hydrological substitutability via three scenarios of runoff simulation. The results demonstrate that the overall TMPA performance is acceptable, except at high-latitudes and locations where the terrain changes greatly. Moreover, the accuracy of the SWAT model is high both in the semi-substitution and full-substitution scenarios. Based on the results, the TMPA product is a useful substitute for the gauged precipitation in obtaining acceptable hydrologic process information in areas where gauged sites are sparse or non-existent. The TMPA product is satisfactory in predicting the runoff process. Overall, it must be used with caution, especially at high latitudes and altitudes.

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Regional Parameter Estimation of the SWAT Model: Methodology and Application to River Basins in the Peruvian Pacific Drainage

Water ◽

10.3390/w12113198 ◽

2020 ◽

Vol 12 (11) ◽

pp. 3198

Author(s):

Flavio Alexander Asurza-Véliz ◽

Waldo Sven Lavado-Casimiro

Keyword(s):

Water Balance ◽

Assessment Tool ◽

Hydrological Cycle ◽

Swat Model ◽

Parameters Estimation ◽

Data Availability ◽

Model Parameters ◽

Hydrological Data ◽

The Pacific ◽

Main Components

This study presents a methodology for the regional parameters estimation of the SWAT (Soil and Water Assessment Tool) model, with the objective of estimating daily flow series in the Pacific drainage under the context of limited hydrological data availability. This methodology has been designed to obtain the model parameters from a limited number of basins (14) to finally regionalize them to basins without hydrological data based on physical-climatic characteristics. In addition, the bootstrapping method was selected to estimate the uncertainty associated with the parameters set selection in the regionalization process. In general, the regionalized parameters reduce the initial underestimation which is reflected in a better quantification of daily flows, and improve the low flows performance. Furthermore, the results show that the SWAT model correctly represents the water balance and seasonality of the hydrological cycle main components. However, the model does not correctly quantify the high flows rates during wet periods. These findings provide supporting information for studies of water balance and water management on the Peruvian Pacific drainage. The approach and methods developed can be replicated in any other region of Peru.

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