2022
DOI: 10.1016/j.jenvman.2022.116330
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A framework for identifying bird conservation priority areas in croplands at national level

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Cited by 9 publications
(3 citation statements)
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“…Many studies have shown that rubber and palm oil plantations support only limited eco‐functional groups compared with natural forests (Koh & Wilcove, 2008; Zhang et al., 2017). However, few studies have explored the biodiversity differences between traditional agricultural land and natural forests in tropical regions, although agricultural land could harbor different functional groups from natural forests and potentially act as “other effective area‐based conservation measures” in the entire conservation system (Hou et al., 2022). For example, when paddy fields are flooded at different frequencies after harvest, they can be used by different eco‐functional waterbird species (Strum et al., 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Many studies have shown that rubber and palm oil plantations support only limited eco‐functional groups compared with natural forests (Koh & Wilcove, 2008; Zhang et al., 2017). However, few studies have explored the biodiversity differences between traditional agricultural land and natural forests in tropical regions, although agricultural land could harbor different functional groups from natural forests and potentially act as “other effective area‐based conservation measures” in the entire conservation system (Hou et al., 2022). For example, when paddy fields are flooded at different frequencies after harvest, they can be used by different eco‐functional waterbird species (Strum et al., 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Based on bird survey data, assessing changes in HS is a common method to determine priority areas for bird conservation, and has been used to determine conservation priorities in arable land and coastal wetlands in China (Hou et al, 2022;Xia et al, 2017). The priorities established by previous studies primarily re ect the spatial aggregation of birds (Amano et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Spatial multi-criteria analysis (MCA) combines complex multidimensional data analysis with the direct involvement of stakeholders, considers multiple criteria, and integrates multiple layers of diverse spatial information for identifying priority areas (Raaijmakers et al, 2008;Li et al, 2020). Previous research has integrated social, economic, and political considerations by applying spatial MCA to identify priority areas for bird conservation (Hou et al, 2022), soil-water conservation areas (Ahmed et al, 2023), ecological conservation and restoration (Chen et al, 2023), flood risk mitigation (Rehman et al, 2022), and conservation planning (Brum et al, 2017).…”
Section: Introductionmentioning
confidence: 99%