Impacts of ecological restoration and human activities on habitat of overwintering migratory birds in the wetland of Poyang Lake, Jiangxi Province, China

Sun, Chuanzhun; Zhen, Lin; Wang, Chao; Yan, Bang-you; Cao, Xinwu; Wu, Ruizi

doi:10.1007/s11629-014-3128-8

Cited by 22 publications

(9 citation statements)

References 17 publications

(12 reference statements)

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“…Following the modified methods of [29,30], we segmented tracking paths into periods of direct flight movements and stopovers by using the first passage time (FPT) method [31]. FPT estimates the time taken from a predefined starting location for each crane to move a given distance away (defined as a circle of given radius around the starting location) by applying the penalized contrast method [32]. The FPT generates the minimum time before a crane crosses a given radius across its path; this value is low when actively flying long distance on migration, high when it remains within a restricted area.…”

Section: Straight Indexmentioning

confidence: 99%

Combining Tracking and Remote Sensing to Identify Critical Year-Round Site, Habitat Use and Migratory Connectivity of a Threatened Waterbird Species

Batbayar¹,

Zhang

et al. 2021

Remote Sensing

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We tracked 39 western flyway white-naped cranes (Antigone vipio) throughout multiple annual cycles from June 2017 to July 2020, using GSM-GPS loggers providing positions every 10-min to describe migration routes and key staging areas used between their Mongolian breeding and wintering areas in China’s Yangtze River Basin. The results demonstrated that white-naped cranes migrated an average of 2556 km (±187.9 SD) in autumn and 2673 km (±342.3) in spring. We identified 86 critical stopover sites that supported individuals for more than 14 days, within a 100–800 km wide migratory corridor. This study also confirmed that Luan River catchment is the most important staging region, where white-naped cranes spent 18% of the annual cycle (in both spring and autumn) each year. Throughout the annual cycle, 69% of the tracking locations were from outside of the currently protected areas, while none of the critical staging areas enjoyed any form of site protection. We see further future potential to combine avian tracking data and remote-sensing information throughout the annual range of the white-naped crane to restore it and other such species to a more favourable conservation status.

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Section: Straight Indexmentioning

confidence: 99%

Combining Tracking and Remote Sensing to Identify Critical Year-Round Site, Habitat Use and Migratory Connectivity of a Threatened Waterbird Species

Batbayar¹,

Zhang

et al. 2021

Remote Sensing

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“…Each year, the water levels vary from 5 to 22 m (measured at Wu Song) [29]. During the winter dry season, natural drainage exposes large mudflats and independent sublake systems [30]. These dramatic hydrological changes directly affect the characteristics of different habitats and biodiversity [31].…”

Section: Study Areamentioning

confidence: 99%

Changing Abundance and Distribution of the Wintering Swan Goose Anser cygnoides in the Middle and Lower Yangtze River Floodplain: An Investigation Combining a Field Survey with Satellite Telemetry

An¹,

Cao

Jia

et al. 2019

Sustainability

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Migratory waterbird communities are quick to respond to ecosystem degradation, and they are widely considered to be important bioindicators of complex environmental changes. The swan goose (Anser cygnoides) has been listed as a globally vulnerable species in the International Union for Conservation of Nature (IUCN) Red List of Threatened Species. This species currently winters almost exclusively in China and is mostly concentrated on lakes in the middle and lower catchment of the Yangtze River floodplain, especially in Poyang Lake, Jiangxi province and some sites in Anhui province. In the past few years, the population of A. cygnoides has fluctuated. To protect this fragile Anatidae species, long-term and accurate population estimation is both necessary and urgent. In this study, we evaluated the change in numbers and distribution of A. cygnoides by comparing surveys conducted in 2004 and 2005 with more recent ones conducted in 2015 and 2016. A reduction in the count number of this species occurred in the survey sites. After a statistical Mann-Whitney U test, the count numbers of A. cygnoides decreased significantly at the survey sites in Anhui province and the abundance decrease at the survey sites in Poyang Lake was only marginally significant. The inaccessibility of the new sites revealed by satellite tracking impeded a more prudent and comprehensive estimate of the population change. Satellite tracking technology may be a tool to consider for increasing the efficiency of data acquisition. Information transmitted from satellite tracking devices can help us to better understand the species’ behavior and wintering habitat. This technology has the potential to substitute costly and time-consuming field surveys. Conservation designs and management plans must be created for specific national nature reserves and key wintering sites. A more efficient long-term species monitoring system with improved spatial coverage should be conducted to safeguard wintering A. cygnoides.

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“…What's more, many birds are isolated in inaccessible high-altitude habitats. Due to the difficulties in physical monitoring, more and more professionals generally recognize the bird species by hearing [6] and recording. This method, called bioacoustics monitoring, can provide a passive and cost-effective strategy for the study of endangered bird populations.…”

Section: Introductionmentioning

confidence: 99%

Design of Bird Sound Recognition Model Based on Lightweight

Yang

Jiang

2022

IEEE Access

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Bird sounds recognition is of great significance in bird protection. With appropriate sound classification, research can automatically predict the quality of life in the area. Nowadays, the deep learning model is used to classify bird sound data with high classification accuracy. However, the generalization ability of most existing bird sound recognition models is poor, and the complicated algorithm is applied to extract bird sound features. To address these problems, a large data set containing 264 kinds of birds is constructed in this paper to enhance the generalization ability of the model, and then a lightweight bird sound recognition model is proposed to build a lightweight feature extraction and recognition network with MobileNetV3 as the backbone. By adjusting the depthwise separable convolution in the model, the recognition ability of the model is improved. A multi-scale feature fusion structure is designed, and the PSA (Pyramid Split Attention, PSA) module is added to the multi-scale feature fusion structure to improve the adaptability of the network to scale extraction of spatial information and channel information. To improve the refinement ability of the model towards the global information, the channel attention mechanism and ordinary convolution are introduced into Bneck module which makes the Bneck module become the Bnecks module. The experimental results show that the accuracy of Top-1 and Top-5 of the model in identifying 264 kinds of birds on the self-built data set is 95.12% and 100%, which are higher than that of MobileNetV1, MobileNetV2, MobileNetV3 respectively. Although the accuracy is lower than ResNet50, the number of parameters and floating-point operations (FLOPs) of the model is only 2.6M and 127M respectively. The accuracy is only reduced by 2.25% while saving costs.

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Impacts of ecological restoration and human activities on habitat of overwintering migratory birds in the wetland of Poyang Lake, Jiangxi Province, China

Abstract: Abstract

Cited by 22 publications

References 17 publications

Combining Tracking and Remote Sensing to Identify Critical Year-Round Site, Habitat Use and Migratory Connectivity of a Threatened Waterbird Species

Combining Tracking and Remote Sensing to Identify Critical Year-Round Site, Habitat Use and Migratory Connectivity of a Threatened Waterbird Species

Changing Abundance and Distribution of the Wintering Swan Goose Anser cygnoides in the Middle and Lower Yangtze River Floodplain: An Investigation Combining a Field Survey with Satellite Telemetry

Design of Bird Sound Recognition Model Based on Lightweight

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