2020
DOI: 10.1007/s10980-020-01131-4
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Multiscale effects of habitat and surrounding matrices on waterbird diversity in the Yangtze River Floodplain

Abstract: Context With the expansion in urbanization, understanding how biodiversity responds to the altered landscape becomes a major concern. Most studies focus on habitat effects on biodiversity, yet much less attention has been paid to surrounding landscape matrices and their joint effects. Objective We investigated how habitat and landscape matrices affect waterbird diversity across scales in the Yangtze River Floodplain, a typical area with high b… Show more

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Cited by 26 publications
(11 citation statements)
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References 86 publications
(95 reference statements)
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“…We calculated landscape attributes of the class level and landscape level to evaluate the effects of matrix types and landscape within 8 km radius extent from the NLIA on bird diversity, respectively. Number of patches (NP), aggregation index (AI), edge density (ED), mean of patch area (AREA‐MN), mean perimeter–area ratio (PARA‐MN), mean fractal dimension index (FRAC‐MN), effective mesh size (MESH), and Shannon's diversity index (SHDI) were selected (Gao et al, 2021; Zhang et al, 2021; Table 1), which were calculated using R package “landscapemetrics” (Hesselbarth et al, 2019).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We calculated landscape attributes of the class level and landscape level to evaluate the effects of matrix types and landscape within 8 km radius extent from the NLIA on bird diversity, respectively. Number of patches (NP), aggregation index (AI), edge density (ED), mean of patch area (AREA‐MN), mean perimeter–area ratio (PARA‐MN), mean fractal dimension index (FRAC‐MN), effective mesh size (MESH), and Shannon's diversity index (SHDI) were selected (Gao et al, 2021; Zhang et al, 2021; Table 1), which were calculated using R package “landscapemetrics” (Hesselbarth et al, 2019).…”
Section: Methodsmentioning
confidence: 99%
“…were selected (Gao et al, 2021;Zhang et al, 2021; Table 1), which were calculated using R package "landscapemetrics" (Hesselbarth et al, 2019).…”
Section: Landscape Attributesmentioning
confidence: 99%
“…Landscape metrics at both class (to quantify the attributes of a specific landscape class) and landscape level (to quantify the entire landscape mosaic) were calculated as shown in previous studies where species abundance is affected by landscape attributes at both levels [38]. To do this, landscape metrics were selected according to the ecological characteristics of the studied species [39,40]. In total, five landscape metrics were included (Table 1): largest patch index (LPI), patch density (PD), connectance Index (CONNECT), Simpson's diversity index (SIDI), and Simpson's evenness index (SIEI), covering the dominance, fragmentation, connectivity, and diversity of the landscape [41].…”
Section: Landscape Metricsmentioning
confidence: 99%
“…The Yangtze River Basin (YRB) is an important area of China's economic development and one of key hotspots of global biodiversity [15][16][17][18] . As the third largest river in the world, the Yangtze River supports over 900 million people, and it plays an important role in the protection of biodiversity, including at least 14000 plant species and 1731 vertebrate animal species [19][20][21][22][23][24][25] .…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, birds are sensitive to natural and man-made changes in the environment, and are often used as indicator groups in biodiversity monitoring 31,32 . The YRB supports high bird diversity; its diverse land cover types, including forests, wetlands and farmlands, provide suitable habitats for many different bird species 15,16,33 . China has carried out a large number of surveys and long-term monitoring of bird diversity along the YRB, such as the National Bird Diversity Observation Network (China Bon-Birds) 34,35 .…”
Section: Introductionmentioning
confidence: 99%