Delineation of vulnerable areas to water erosion in a mountain region using SDR-InVEST model: A case study of the Ourika watershed, Morocco

Ougougdal, Houssam Ayt; Khebiza, Mohamed Yacoubi; Messouli, Mohammed; Bounoua, Lahouari; Karmaoui, Ahmed

doi:10.1016/j.sciaf.2020.e00646

Cited by 24 publications

(13 citation statements)

References 44 publications

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“…The model then calculates the SDR, as shown in Equation 2 (Ayt Ougougdal et al 2020). It also pertains to the degree of sediment deposition, defined as the soil loss proportion reaching the stream, and is an indicator of sediment transport efficiency (Sahle et al 2019;Kusi et al 2020).…”

Section: Land Use Change Analysismentioning

confidence: 99%

“…This is due to various contaminants such as pesticides, phosphate, and heavy metals transported along with the surface runoff [Ella (2005), as cited by Alibuyog et al (2009)]. With the increasingly detrimental effects of various anthropogenic activities on million hectares of land (Ayt Ougougdal et al 2020), quantification of sediment retention is crucial to better aid landscape management decisions (Hamel et al 2017).…”

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confidence: 99%

“…Numerous models were developed to quantify soil erosion and sediment retention, given different trends and scenarios (Ayt Ougougdal et al 2020). Most of these models were designed along with geographic information systems (GIS) and remote sensing products (Derakhshan-Babaei et al 2021).…”

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confidence: 99%

“…It leads to soil fertility loss, soil structure damage, and threatens food security and sustainable development(Doulabian et al 2021). On average, the global soil erosion rate is about 12-15 tons ha -1 yr -1 , wherein 0.90-0.95 mm of fertile topsoil is also lost(Pham et al 2018;Ayt Ougougdal et al 2020).…”

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confidence: 99%

“…The product of InVEST is a combination of land use and land cover (LULC) data with information on biophysical processes and the type ofES (Sharp et al 2018; Sharps et al 2017). In numerous countries, environmental scholars have widely used InVEST to quantify and offer valuation on different ES, including sediment retention(Ayt Ougougdal et al 2020). However, within the context of the Philippines, the application of this model is still limited.…”

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confidence: 99%

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Estimating Sediment Export and Retention Capacity of Existing Land Cover in Balanac and Sta. Cruz Watersheds, Philippines Using InVEST-SDR Model

Ureta¹,

Trespalacio²,

Anastacio³

et al. 2022

Philipp J Sci

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Identifying priority areas for conservation remains a challenge since ecosystem-based models are typically data extensive. As a response to this challenge, InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) was developed to map diverse types of ecosystem services (ES). Although InVEST has been widely used in other countries, its application within the Philippines has been limited. This study offers an application of InVEST in the Philippine context. We estimated the amount of sediments exported to the streams and retained in the area by land cover type within the Balanac and Sta. Cruz watersheds. Results showed that in terms of best ecosystem service provision per hectare, vegetated areas – particularly forest land – provide the most sediment retention capacity and the least sediment export. On the other hand, the non-vegetated areas – particularly the built-up areas – provide the least sediment retention capacity and the most sediment export. These results suggest that major strategic water quality management and ES changes should be considered when converting land from one land cover type to another. Furthermore, a considerable opportunity for ecosystem service improvement to water quality through soil conservation and sustainable farming practices can be implemented in cropland areas. Since the majority of the land in both watersheds are cropland, its contribution in sediment transfers is significant, hence its role to managing soil health is of utmost importance. The findings of this study could contribute to the advancement of ES modeling in the Philippines to support land development planning and policy decisions at the national and local levels.

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Section: Land Use Change Analysismentioning

confidence: 99%

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