TY - JOUR
T1 - Neighbourhood threats: landscape context and anthropogenic changes can trigger waterbird population collapse
AU - Chen, Sheng
AU - Zhang, Yong
AU - Xu, Chi
AU - Cao, Lei
AU - Huang, Zheng Y.X.
AU - Li, Chunlin
AU - Chen, Bin J.W.
AU - Lu, Changhu
AU - Xu, Wenbin
AU - Song, Yunwei
AU - de Boer, Willem Frederik
PY - 2022/12
Y1 - 2022/12
N2 - Context: Global biodiversity decreases rapidly, driven by various factors ranging from climate change to anthropogenic activities. Identifying driving forces of population decline is critical for biological conservation. Time-series data are especially valuable for this goal, but unfortunately, high-quality time-series data are generally lacking, hampering evidences-based conservation policy making. Objectives: In this study, we examined how population growth rates of wintering waterbird species changed across 34 years (1986–2019) in response to changes in landscape context, climatic, ecological and anthropogenic factors in the Yangtze River Floodplain. Specifically: we aimed to (1) understand the factors that are correlated with the population trend of each waterbird species, and (2) identify the spatial scale at which each waterbird species responds to surrounding landscape changes. Methods: We systemically collected wintering survey data from 1986 to 2019 in Shengjin Lake National Nature Reserve for six waterbird species including Oriental stork (Ciconia boyciana), Eurasian spoonbill (Platalea leucorodia), Tundra swan (Cygnus columbianus), Swan goose (Anser cygnoid), Hooded crane (Grus monacha) and White-naped crane (Grus vipio), coupled with climatic and anthropogenic data. Satellite images were analyzed to characterize ecological variables and landscape context (both in landscape and class levels). Results: Our results suggested that anthropogenic landscape changes surrounding wetland habitats (i.e., landscape context) acted as the primary factors driving the waterbird population changes and were responsible for the observed population declines. In particular, increasing built-up areas and decreasing cropland areas associated with urbanization and human settlement expansion largely explained the declining population size. Our results also showed that different variables operated at a different scale of the landscape context, highlighting the importance of the surrounding landscape configuration at both small and larger scales, as built-up area was most important at around 8 km for most of the studied species, but cropland area expansion benefitted the two crane species at a larger spatial extent. The fishing ban policy implemented in 2017 provides an opportunity for reversing such declines, as positive effects of reduced human activities were observed in a portion of waterbird species. Conclusions: The demonstrated strong effects of landscape context on wetland biodiversity illustrated that practical mitigating measures can increase conservation success if they not only target the wetland habitats per se but also include the surrounding non-wetland areas at larger spatial scales.
AB - Context: Global biodiversity decreases rapidly, driven by various factors ranging from climate change to anthropogenic activities. Identifying driving forces of population decline is critical for biological conservation. Time-series data are especially valuable for this goal, but unfortunately, high-quality time-series data are generally lacking, hampering evidences-based conservation policy making. Objectives: In this study, we examined how population growth rates of wintering waterbird species changed across 34 years (1986–2019) in response to changes in landscape context, climatic, ecological and anthropogenic factors in the Yangtze River Floodplain. Specifically: we aimed to (1) understand the factors that are correlated with the population trend of each waterbird species, and (2) identify the spatial scale at which each waterbird species responds to surrounding landscape changes. Methods: We systemically collected wintering survey data from 1986 to 2019 in Shengjin Lake National Nature Reserve for six waterbird species including Oriental stork (Ciconia boyciana), Eurasian spoonbill (Platalea leucorodia), Tundra swan (Cygnus columbianus), Swan goose (Anser cygnoid), Hooded crane (Grus monacha) and White-naped crane (Grus vipio), coupled with climatic and anthropogenic data. Satellite images were analyzed to characterize ecological variables and landscape context (both in landscape and class levels). Results: Our results suggested that anthropogenic landscape changes surrounding wetland habitats (i.e., landscape context) acted as the primary factors driving the waterbird population changes and were responsible for the observed population declines. In particular, increasing built-up areas and decreasing cropland areas associated with urbanization and human settlement expansion largely explained the declining population size. Our results also showed that different variables operated at a different scale of the landscape context, highlighting the importance of the surrounding landscape configuration at both small and larger scales, as built-up area was most important at around 8 km for most of the studied species, but cropland area expansion benefitted the two crane species at a larger spatial extent. The fishing ban policy implemented in 2017 provides an opportunity for reversing such declines, as positive effects of reduced human activities were observed in a portion of waterbird species. Conclusions: The demonstrated strong effects of landscape context on wetland biodiversity illustrated that practical mitigating measures can increase conservation success if they not only target the wetland habitats per se but also include the surrounding non-wetland areas at larger spatial scales.
KW - Anthropogenic activities
KW - Effective conservation
KW - Landscape changes
KW - Population size
KW - Spatial scales
KW - Wetland
U2 - 10.1007/s10980-022-01518-5
DO - 10.1007/s10980-022-01518-5
M3 - Article
AN - SCOPUS:85138413302
SN - 0921-2973
VL - 37
SP - 3141
EP - 3158
JO - Landscape Ecology
JF - Landscape Ecology
IS - 12
ER -