Integration of anthropogenic threats and biodiversity value to identify critical sites for biodiversity conservation

Mehri, Azade; Salmanmahiny, Abdolrassoul; Tabrizi, Ali Reza Mikaeili; Mirkarimi, Seyed Hamed; Sadoddin, Amir

doi:10.1080/10106049.2018.1475510

Cited by 4 publications

(4 citation statements)

References 30 publications

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“…For this, the weighted linear combination method was used for aggregating scores. This is one of the commonly used aggregation operators (Ghajari et al, 2017 ; Jeong & Ramírez-Gómez, 2017 ; Mehri et al, 2019 ). It requires the indicators to be weighted based on their relative importance, with all weighted criterion layers, and then summed to yield a composited layer (Ghosh & Lepcha, 2019 ; Mehri et al, 2019 ; Pérez et al, 2005 ).…”

Section: Methodsmentioning

confidence: 99%

“…This is one of the commonly used aggregation operators (Ghajari et al, 2017 ; Jeong & Ramírez-Gómez, 2017 ; Mehri et al, 2019 ). It requires the indicators to be weighted based on their relative importance, with all weighted criterion layers, and then summed to yield a composited layer (Ghosh & Lepcha, 2019 ; Mehri et al, 2019 ; Pérez et al, 2005 ). In this study, all indicators were considered to have equal importance in contributing to farmland sustainability, so they were weighted equally.…”

Section: Methodsmentioning

confidence: 99%

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Smallholder oil palm plantation sustainability assessment using multi-criteria analysis and unmanned aerial vehicles

Wong

Gibbins

Azhar

et al. 2023

Environ Monit Assess

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Oil palm agriculture has caused extensive land cover and land use changes that have adversely affected tropical landscapes and ecosystems. However, monitoring and assessment of oil palm plantation areas to support sustainable management is costly and labour-intensive. This study used an unmanned aerial vehicles (UAV) to map smallholder farms and applied multi-criteria analysis to data generated from orthomosaics, to provide a set of sustainability indicators for the farms. Images were acquired from a UAV, with structure from motion (SfM) photogrammetry then used to produce orthomosaics and digital elevation models of the farm areas. Some of the inherent problems using high spatial resolution imagery for land cover classification were overcome by using texture analysis and geographic object-based image analysis (OBIA). Six spatially explicit environmental metrics were developed using multi-criteria analysis and used to generate sustainability indicator layers from the UAV data. The SfM and OBIA approach provided an accurate, high-resolution (~5 cm) image-based reconstruction of smallholder farm landscapes, with an overall classification accuracy of 89%. The multi-criteria analysis highlighted areas with lower sustainability values, which should be considered targets for adoption of sustainable management practices. The results of this work suggest that UAVs are a cost-effective tool for sustainability assessments of oil palm plantations, but there remains the need to plan surveys and image processing workflows carefully. Future work can build on our proposed approach, including the use of additional and/or alternative indicators developed through consultation with the oil palm industry stakeholders, to support certification schemes such as the Roundtable on Sustainable Palm Oil (RSPO).

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Smallholder oil palm plantation sustainability assessment using multi-criteria analysis and unmanned aerial vehicles

Wong

Gibbins

Azhar

et al. 2023

Environ Monit Assess

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“…(2) Understanding of habitat threats plays an important role in scheduling conservation action, designing regional conservation plans, and improving biodiversity [7].…”

Section: Agriculture and Urbanizationmentioning

confidence: 99%

“…Of the world's insect species, 40% may become extinct over the next few decades [3]. Therefore, it is necessary to understand threats that impact natural habitats and biodiversity [7].…”

Section: Introductionmentioning

confidence: 99%

Define–Investigate–Estimate–Map (DIEM) Framework for Modeling Habitat Threats

et al. 2021

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As the human population increases, the landscape is altered to provide housing, food, and industry. Human activity poses a risk to the health of natural habitats that, in turn, affect biodiversity. Biodiversity is necessary for a functioning ecosystem, as species work synergistically to create a livable environment. It is, therefore, important to know how human practices and natural events threaten these habitats and the species living in them. A universal method of modeling habitat threats does not exist. This paper details the use of a literature review to formulate a new framework called Define–Investigate–Estimate–Map (DIEM). This framework is a process of defining threats, investigating an area to discover what threats are present, estimating the severity of those threats, and mapping the threats. Analysis of 62 studies was conducted to determine how different authors define and characterize threats in various contexts. The results of this analysis were then applied to a case study to evaluate the Choctawhatchee River and Bay Watershed. Results suggest that the most abundant threat in the watershed is agricultural development, and the most destructive threat is urban development. These two threats have the greatest impact on the total threat level of the watershed. Applying the DIEM framework demonstrates its helpfulness in regional analysis, watershed modeling, and land development planning.

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Exploring Natural Resources Through Transformative Sustainability Education

Gan,

Gal

2024

Understanding Teaching-Learning Practice

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Integration of anthropogenic threats and biodiversity value to identify critical sites for biodiversity conservation

Cited by 4 publications

References 30 publications

Smallholder oil palm plantation sustainability assessment using multi-criteria analysis and unmanned aerial vehicles

Smallholder oil palm plantation sustainability assessment using multi-criteria analysis and unmanned aerial vehicles

Define–Investigate–Estimate–Map (DIEM) Framework for Modeling Habitat Threats

Exploring Natural Resources Through Transformative Sustainability Education

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