Population dynamic and Species diversity of wintering waterbirds in mangroves wetland (Persian Gulf) in 1983 and 2013

Behrouzi-Rad, Behrouz

doi:10.5376/ijms.2014.04.63

Cited by 8 publications

(7 citation statements)

References 9 publications

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“…For instance, monitoring of pollutants such as DDT and organochlorines, and the effects of variations in hydroperiod in the Everglades were carried out using water and wading bird species (Frederick et al, 2009; Lavoie et al, 2010; Lantz, Gawlik & Cook, 2011; Boyle, Dorn & Cook, 2012). Moreover, bird diversity has been used as an indicator of temporal changes in mangrove health (Behrouzi-Rad, 2014), and to assess the impacts of climate change and coastal development (Ogden et al, 2014). While avian community monitoring can be a useful tool for evaluating the health of wetland ecosystems, its use for assessment of ecological restoration has been rarely employed (Weller, 1995; Cui et al, 2009; Gyurácz, Bánhidi & Csuka, 2011; Li et al, 2011; Catterall et al, 2012; Zou et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

The effect of mangrove restoration on avian assemblages of a coastal lagoon in southern Mexico

Canales-Delgadillo

Pérez-Ceballos

Zaldívar-Jiménez³

et al. 2019

PeerJ

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Background Mangrove forests provide many ecosystem services, including the provision of habitat that supports avian biodiversity. However, hurricanes can knock down trees, alter hydrologic connectivity, and affect avian habitat. In 1995, Hurricanes Opal and Roxanne destroyed approximately 1,700 ha of mangrove forest in Laguna de Términos, Mexico. Since then, hydrological restoration has been implemented to protect the mangrove forest and its biodiversity. Methods Since avian communities are often considered biological indicators of ecosystem quality, avian diversity and species relative abundance were evaluated as indicators of mangrove restoration success by comparing undisturbed mangrove patches with those affected by the hurricanes. Using bird surveys, similarity analyses, and generalized linear models, we evaluated the effects of water quality variables and forest structure on the relative abundance and diversity of the avian community in disturbed, restored, and undisturbed mangrove patches. Results Higher bird species richness and relative abundances were found in disturbed and restored sites compared to the undisturbed site. After restoration, values of frequency of flooding, water temperature, tree density, and the number of tree species were more similar to that of the undisturbed site than to the values of the disturbed one. Such variables influenced the relative abundance of bird guilds in the different habitat conditions. Furthermore, some insectivorous bird species, such as the Yellow Warbler and Tropical Kingbird, were found to be similarly abundant in both undisturbed and restored sites, but absent or very low in occurrence at the disturbed site. Conclusions Collectively, our results strongly suggest that hydrologic restoration helps to enhance niche availability for different bird guilds, including water and canopy bird species. Our work can help inform management strategies that benefit avian communities in mangrove forests and wetland systems.

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Section: Introductionmentioning

confidence: 99%

The effect of mangrove restoration on avian assemblages of a coastal lagoon in southern Mexico

Canales-Delgadillo

Pérez-Ceballos

Zaldívar-Jiménez³

et al. 2019

PeerJ

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“…The heterogeneous area consisted of more vegetation mosaic, such as scrubs, bushes, mangroves, and dense tree vegetation to attract more avifaunas families [32]. By the time of degradation occurrence, the entire family in the degraded site presented an adaptation to respond to habitat change [17]. They might be adapted by opened areas, potentially provided a location for grooming and hunting [16].…”

Section: Resultsmentioning

confidence: 99%

“…Mangroves provided environmental services for avifauna, including shelters, foraging, and breeding site [15]. In addition, mangroves also facilitated the hiding and perching place [16], especially for the niches of water birds and arboreal bird families [17]. For mangrove restoration efforts, the avifauna parameter assessment such as species diversity, abundance, families community structure, and specialization roles could be the key factors to monitor the success of long-term mangrove restoration [10].…”

Section: Introductionmentioning

confidence: 99%

Assessment of The Various Type of Mangrove Areas by Avifaunal Diversity and Community in Tamban Beach, Sumbermanjing Wetan, East Java

Nurrofik

Burhanuddin²,

Fitriana³

et al. 2021

Biotropika

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The restoration effort in Tamban Beach may reflect the role services of mangroves as suitable habitats for those surrounding diversity, especially on avifauna. Here we assess the diversity and community of avifaunal throughout types of mangrove ecosystems. We surveyed the avifaunal within four stations (i.e., natural mangrove area, restored mangrove area since 2009 and 2014, and degraded mangrove area) in Tamban Beach, Sumbermanjing Wetan, East Java during March 2021 using Audiovisual Encounter Survey (AES) methods. We present the statistic descriptive analysis of α-diversity index (taxa diversity, dominance index, Simpson's index, Evenness, Shannon-Wiener diversity index, Brillouin index, and Margalef species richness) as diversity assessment also conservation status of each species. The Principal Component Analysis (PCA) was performed to investigate the community variation within each site. We found 38 species from 22 families and 11 orders of avifaunal across the sites. The diversity of avifauna was high in a degraded area due to the mixture of habitats, although the natural and restored area yields some specialists. The type of mangroves might not be the sole factor affecting the avifauna diversity correlation, highlighting the importance of conservation strategies in the area.

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“…Mangroves are one of the most prolific and productive ecosystems on earth (Borges, 2003;Behrouz-Rad, 2014). It not only nurtures abundant aquatic life, but also plays an irreplaceable role in sequestering and storing carbon and maintaining sustainable development (Wang et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of LAI Estimation of Mangrove Communities Using DLR and ELR Algorithms With UAV, Hyperspectral, and SAR Images

Sun

Wang

et al. 2022

Front. Mar. Sci.

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The high-precision estimation of mangrove leaf area index (LAI) using a deep learning regression algorithm (DLR) always requires a large amount of training sample data. However, it is difficult for LAI field measurements to collect a sufficient amount of sample data in mangrove wetlands. To tackle this challenge, this paper proposed an approach for expanding training samples and quantitatively evaluated the performance of estimating LAI for mangrove communities using Deep Neural Networks (DNN) and Transformer algorithms. This study also explored the effects of unmanned aerial vehicle (UAV) and Sentinel-2A multispectral, orbital hyper spectral (OHS), and GF-3 SAR images on LAI estimation of different mangrove communities. Finally, this paper evaluated the LAI estimation ability of mangrove communities using ensemble learning regression (ELR) and DLR algorithms. The results showed that: (1) the UAV images achieved the better LAI estimation of different mangrove communities (R2 = 0.5974–0.6186), and GF-3 SAR images were better for LAI estimation of Avicennia marina with high coverage (R2 = 0.567). The optimal spectral range for estimating LAI for mangroves in the optical images was between 650–680 nm. (2) The ELR model outperformed single base model, and produced the high-accuracy LAI estimation (R2 = 0.5266–0.713) for different mangrove communities. (3) The average accuracy (R2) of the ELR model was higher by 0.0019–0.149 than the DLR models, which demonstrated that the ELR model had a better capability (R2 = 0.5865–0.6416) in LAI estimation. The Transformer-based LAI estimation of A. marina (R2 = 0.6355) was better than the DNN model, while the DNN model produced higher accuracy for Kandelia candel (KC) (R2 = 0.5577). (4) With the increase in the expansion ratio of the training sample (10–50%), the LAI estimation accuracy (R2) of DNN and Transformer models for different mangrove communities increased by 0.1166–0.2037 and 0.1037–0.1644, respectively. Under the same estimation accuracy, the sample enhancement method in this paper could reduce the number of filed measurements by 20–40%.

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Population dynamic and Species diversity of wintering waterbirds in mangroves wetland (Persian Gulf) in 1983 and 2013

Cited by 8 publications

References 9 publications

The effect of mangrove restoration on avian assemblages of a coastal lagoon in southern Mexico

The effect of mangrove restoration on avian assemblages of a coastal lagoon in southern Mexico

Assessment of The Various Type of Mangrove Areas by Avifaunal Diversity and Community in Tamban Beach, Sumbermanjing Wetan, East Java

Evaluation of LAI Estimation of Mangrove Communities Using DLR and ELR Algorithms With UAV, Hyperspectral, and SAR Images

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