Integrated valuation of semiarid Mediterranean agroecosystem services and disservices

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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Serviços ecossistêmicos prestados por recifes de coral nas ilhas de Tinharé e Boipeba, Baixo Sul da Bahia, Brasil

10.31237/osf.io/za7c9 ◽

2018 ◽

Author(s):

Carla Isobel Elliff

Keyword(s):

Ecosystem Services ◽

Coral Reefs ◽

Current Model ◽

Management Strategies ◽

Environmental Indicators ◽

Management Actions ◽

Shoreline Protection ◽

Fringing Reefs ◽

Integrated Valuation ◽

Reef Decline

Coral reefs provide important ecosystem services to coastal communities. The Archipelago of Tinhar?e andBoipeba, Bahia, Brazil, are mostly surrounded by fringing reefs, which have undergone several chronichuman impacts. The objective of the present study was to apply an ecosystem-based approach byanalyzing the ecosystem services provided by the coral reefs of the Archipelago of Tinhar?e and Boipeba inorder to support management actions and serve as a tool for coastal management. Ecosystem serviceswere assessed through the observation of environmental indicators of their occurrence and by using asuite of models from the Integrated Valuation of Environmental Services and Tradeoffs (InVEST) softwarecombined with data from the Atlantic and Gulf Rapid Reef Assessment (AGRRA) protocol database. Theservices of greatest occurrence were food provision, habitat maintenance, shoreline protection andrecreation. While the main stressful factors were tourism activities, the absence of a sewage system andfisheries. The coral reefs presented potential for shoreline protection along 50.5% of the islands. Moreover,46.8% of the shoreline would present moderate to high vulnerability in case of coral reef disappearance.The coincidence of areas with high risk of loss in the capacity to provide services and highvulnerability in the scenario of absence of reefs is concerning. Thus, the current model for tourism usedin the area should be altered, as should new management strategies be implemented, which can bringbenefits and avoid reef decline.

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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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VALUATION OF FLEXIBLE LEASES FOR CORPORATE TENANTS FACING UNCERTAINTY IN THEIR REQUIRED WORK SPACE

International Journal of Strategic Property Management ◽

10.3846/ijspm.2010.05 ◽

2010 ◽

Vol 14 (1) ◽

pp. 49-72 ◽

Cited By ~ 4

Author(s):

Baabak Ashuri

Keyword(s):

Real Option ◽

Maximum Amount ◽

Option Valuation ◽

The Real ◽

Rental Market ◽

Work Space ◽

Real Option Valuation ◽

Integrated Valuation

A valuation approach is presented to price flexible leases with expansion, contraction, and/or cancelation options from the corporate tenant perspective. This model uses the real option valuation approach and determines the flexibility value or the option premium of a lease. This premium is the maximum amount of money that the tenant is willing to invest in incorporating a specific flexible feature in the leasing arrangement. Our model considers uncertainty in the rental market, as well as uncertainty about the firm's required workspace in an integrated valuation framework. Santruka Pristatomas vertinimo metodas, kaip iš komercinio nuomininko perspektyvos ikainoti lanksčiaja nuoma su galimybe didinti arba mažinti plota ir (arba) atsisakyti nuomos. Šiame modelyje, taikant realiu pasirinkimo sandoriu vertinimo metoda, nustatoma nuomos lankstumo verte arba priemoka už galimybe rinktis. Ši priemoka ‐ tai maksimali pinigu suma, kuria nuomininkas pasiruošes investuoti, idant i nuomos susitarima galetu itraukti konkretu punkta del lankstumo. Mūsu modelyje i nuomos rinkos netikruma ir i netikruma del imonei reikiamo darbo ploto atsižvelgiama taikant kompleksine vertinimo sistema.

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Estimating Changes in Habitat Quality through Land-Use Predictions: Case Study of Roe Deer (Capreolus pygargus tianschanicus) in Jeju Island

Sustainability ◽

10.3390/su122310123 ◽

2020 ◽

Vol 12 (23) ◽

pp. 10123

Author(s):

Dong-jin Lee ◽

Seong Woo Jeon

Keyword(s):

Land Use ◽

Land Use Change ◽

Protected Areas ◽

Habitat Quality ◽

Green Infrastructure ◽

Roe Deer ◽

Land Use Changes ◽

Jeju Island ◽

Invest Model ◽

Integrated Valuation

This study predicts future land-use changes and the resulting changes in habitat quality, suggesting a method for establishing land-use management to ensure sustainable wildlife habitats. The conservation effects were verified in terms of wild animal habitat quality according to the designation of protected areas. Land-use change until 2050 was predicted using the Dyna-Conversion of Land Use Change and its effects (Dyna-CLUE) model for Jeju Island, Korea, and the change in the quality of roe deer habitats was predicted using the Integrated Valuation and Environmental Services and Tradeoffs (InVEST) model. Results indicate that, compared to 2030, urbanized area increased by 42.55 km2, farmland decreased by 81.36 km2, and natural area increased by 38.82 km2 by 2050. The average habitat quality on Jeju Island was predicted to decrease from 0.306 in 2030 to 0.303 in 2050. The average habitat quality ranged from 0.477 in 2030 to 0.476 in 2050 in protected areas and 0.281 in 2030 to 0.278 in 2050 outside protected areas. Habitat quality in protected areas was relatively high, and its reduction was limited. Areas with lower habitat quality need approaches such as expanding greenery and improving its quality. By establishing appropriate land-use plans by predicting habitat quality, wildlife habitats can be better maintained and protected, which is a primary goal of green infrastructure.

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Modelling water yield with the InVEST model in a data scarce region of northwest China

Water Science & Technology Water Supply ◽

10.2166/ws.2020.026 ◽

2020 ◽

Vol 20 (3) ◽

pp. 1035-1045 ◽

Cited By ~ 1

Author(s):

Xu Yang ◽

Ruishan Chen ◽

Michael E. Meadows ◽

Guangxing Ji ◽

Jianhua Xu

Keyword(s):

Temporal Dynamics ◽

Northwest China ◽

Reanalysis Data ◽

Water Yield ◽

Lake Basin ◽

Lake Area ◽

Bosten Lake ◽

Invest Model ◽

Unused Land ◽

Integrated Valuation

Abstract The Bosten Lake basin is an important arid region of northwest China, and has exhibited a declining trend in both lake area and level of water during recent decades. Reliable information on water yield, an important attribute of available water resources in a region, is vital to assess the potential for socio-economic development. The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model is applied here to simulate water yield in the Bosten Lake basin. The spatial and temporal dynamics of water yield, and the response of water yield to land use and precipitation change, are analysed for the period 1985 to 2015. The results show that, overall, water yield increased during 1985–2015, and that the magnitude of change was greater in the eastern part of the region. The water yield capacity, positively correlated with precipitation, is highest under grassland vegetation and lowest in cultivated and unused land. The paper demonstrates that statistical downscaling and climate reanalysis data can be used in the InVEST model to improve the accuracy of simulated water yield in data scarce regions.

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Lessons from the integrated valuation of ecosystem services in a developing country: Three case studies on ecological, socio-cultural and economic valuation

Ecosystem Services ◽

10.1016/j.ecoser.2016.10.017 ◽

2016 ◽

Vol 22 ◽

pp. 297-308 ◽

Cited By ~ 20

Author(s):

Clara Villegas-Palacio ◽

Lina Berrouet ◽

Connie López ◽

Aura Ruiz ◽

Alba Upegui

Keyword(s):

Ecosystem Services ◽

Case Studies ◽

Developing Country ◽

Economic Valuation ◽

Integrated Valuation ◽

Valuation Of Ecosystem Services

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Facing the true cost of fracking; social externalities and the role of integrated valuation

Ecosystem Services ◽

10.1016/j.ecoser.2016.11.006 ◽

2016 ◽

Vol 22 ◽

pp. 348-358 ◽

Cited By ~ 6

Author(s):

Anna (Anya) Phelan ◽

Sander Jacobs

Keyword(s):

True Cost ◽

Integrated Valuation

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Assessment of spatially explicit annual water-balance model for Sutlej River Basin in eastern Himalayas and Tungabhadra River Basin in peninsular India

Hydrology Research ◽

10.2166/nh.2016.053 ◽

2016 ◽

Vol 48 (2) ◽

pp. 542-558 ◽

Cited By ~ 8

Author(s):

Manish Kumar Goyal ◽

Manas Khan

Keyword(s):

River Basin ◽

Balance Model ◽

Distributed Model ◽

Water Yield ◽

Yield Model ◽

Peninsular India ◽

Eastern Himalayas ◽

Invest Model ◽

Integrated Valuation ◽

Zhang Model

In this paper, Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) water yield model, based on the Budyko framework which is relatively simple and requires less data, has been applied in Sutlej River Basin, located in the eastern Himalayas and in Tungabhadra River Basin, located in peninsular India. The effect of extrapolation of the lumped Zhang model to distributed model (InVEST) has also been analyzed. We also determined the most suitable method for calculating reference evapotranspiration among three different methods, i.e., modified Hargreaves, normal Hargreaves and Hamon's equation. It was found that modified Hargreaves method is the most suitable one under limited data conditions although in certain stations in Tungabhadra River Basin, this method is not applicable. We also observed that the InVEST model performed well in the Sutlej River Basin although a certain proportion of the basin is snow covered. The results from the study also show that errors in climate inputs will have significant influence on water yield as compared to other parameters, i.e., seasonality constant (Z) and evapotranspiration coefficient (KC). In the case of the crop dominated Tungabhadra River Basin, both seasonality constant (Z) and evapotranspiration coefficient (KC) have comparatively greater sensitivity as compared to the Sutlej River Basin.

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