Long-term effects of oil pollution in mangrove forests (Baixada Santista, Southeast Brazil) detected using a GIS-based multitemporal analysis of aerial photographs

Santos, Luciana Cavalcanti Maia; Cunha-Lignon, Marília; Schaeffer-Novelli, Yara; Cintrón-Molero, Gilberto

doi:10.1590/s1679-87592012000200006

Cited by 22 publications

(9 citation statements)

References 22 publications

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“…These fragmented forest patches are used by the local people as grazing land for their domestic animals and plant leaves and stems were regularly collected for fuel and fodder and intentionally kept clear to deter tigers as they prefer to hide in the bushes for hunting (Badhwar, 1988). Furthermore, pollutants from boats and households may hamper the regrowth of plants in such forest patches (Santos et al, 2012) and resulted to have almost no understory and very low plant species richness and diversity. Likewise, A. ilicifolius was lower in the patches nearby the villages and increased significantly towards the deep forest.…”

Section: Impact Of Human Disturbances On Plant Diversity Pollinator mentioning

confidence: 99%

Changing pollinator communities along a disturbance gradient in the Sundarbans mangrove forest: a case study onAcanthus ilicifoliusandAvicennia officinalis

Akter

Biella

Batáry

et al. 2020

Preprint

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The Sundarbans, the largest mangrove forest in the world and a UNESCO world heritage site has been facing an increasing pressure of habitat destruction. Yet, no study has been conducted to test how human disturbances are affecting plant-pollinator interactions in this unique ecosystem. Hence, our aim was to provide the first study of the impact of habitat loss and human disturbances on plantpollinator interactions in the Sundarbans. We selected 12 sites in the North-Western region of the Sundarbans, along a gradient of decreasing habitat loss and human activities from forest fragments near human settlements to continuous pristine forest, where we studied insect pollinators of two mangrove plant species, Acanthus ilicifolius and Avicennia officinalis. Our results show that different pollinator groups responded to the disturbance gradient differently. The abundance of Apis dorsata increased gradually from the village area towards the deep pristine forest. On the other hand, A. cerana and A. florea were found in the village sites and completely absent in the deep forest. Although pollinator community composition changed along the disturbance gradient, their efficacy in pollination did not seem to be significantly affected. However, lower plant diversity and low understory plant cover in the forest patches nearby the village indicated that the high anthropogenic activities not only affected pollinator community composition but also played a major negative role in the regeneration of the forest. Our study provides first insights into plantpollinator interactions in the Sundarbans and demonstrates that more research is needed to inform conservation of this unique habitat.

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Section: Impact Of Human Disturbances On Plant Diversity Pollinator mentioning

confidence: 99%

Changing pollinator communities along a disturbance gradient in the Sundarbans mangrove forest: a case study onAcanthus ilicifoliusandAvicennia officinalis

Akter

Biella

Batáry

et al. 2020

Preprint

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“…Surveying hundreds of hectares of mangroves is, however, time‐consuming and requires important efforts as field access is often limited by the muddy nature of sediments and the density of aerial roots. Airborne surveys have been employed to visually inspect canopy gaps in mangroves at large scale, but they remain unsuited as monitoring routines, and they require expert knowledge to identify and date gaps (Amir, 2012; Duke et al., 2020; Feller & McKee, 1999; Santos et al., 2012). Alternatively, satellite remote sensing offers a large‐scale, potentially user‐friendly solution to monitor the integrity of mangrove canopies.…”

Section: Introductionmentioning

confidence: 99%

Tracking canopy gaps in mangroves remotely using deep learning

Lassalle

Filho

2022

Remote Sens Ecol Conserv

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Mangroves are among the most ecologically valuable ecosystems of the globe. Reliable remote sensing solutions are required to assist their management and conservation at broad scale. Canopy gaps are part of forests' turnover and rejuvenation, but yet no method has been proposed to map their occurrence and recovery in mangroves. Here, were propose an approach based on a deep learning framework called Mask R-CNN to achieve automatic detection and delineation of gaps using very-high-resolution satellite imagery (<1 m). The Mask R-CNN combines a series of neural network architectures to identify and delineate gaps, determine their recovery stage, and estimate their morphological attributes. The approach was tested on four mangroves from different regions of the globe with high concentration of gaps of various origins (lightning strikes, oil spills, cutting, pests). The Mask R-CNN performed well to detect gaps, and accurately delineated gap contours (F1-score of segmentation ≥0.89). The model also succeeded in distinguishing among five recovery stages of gaps, from their onset to closure (Overall Accuracy = 91.4, Kappa = 0.89). Accurate retrieval of gap area, eccentricity, and compactnessthree relevant morphological attributeswere obtained (R 2 ≥ 0.83, NRMSE ≤10%). Several sources of confusion and misdelineation were identified. Our approach shows promising transferability to other mangrove sites and optical sensors and could help monitor canopy recovery in mangroves. It also opens promising perspectives for identifying the origin of gaps (natural or human-induced). It is intended to assist environmental managers and field experts in the management and conservation of these fragile ecosystems.

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“…In addition, mangroves serve as a buffer zone between the continent and the ocean, taking the impacts of several events, such as the extremes that arose from processes that might be a result of climate change. In this sense, among many others, researchers like Santos et al (2012); Bernardino et al (2015); Kawamuna et al (2017); e Servino et al (2018), have been dedicating to those geoenvironments part of their energies in researches that, besides the importance and evolution, are still not enough to explain its complexities.…”

Section: Introductionmentioning

confidence: 99%

Impact evaluation of the extreme weather event in mangroves of the Brazilian Southeast Coast with remote sensing

Silva

Faria

2022

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Among the various environments present on the planet that deserve due attention, as they have particularities and specificities of chemical, physical and biological orders, mangroves stand out. These ecosystems are mostly located in the intertropical zones where continental and oceanic waters meet, being crucial for a great diversity of animal species that find, in it, conditions that allow them to live and reproduce. In addition, this ecosystem is also for many local residents, such as traditional fishermen and crab farmers, a place for income generation, thus assuming an important socio-economic function. In addition, mangroves, through vegetation, help to protect the coast and act as important carbon sequestrants and stores. Among the less invasive methodologies that make it possible to analyze a series of dynamics of this environment, reducing costs with the field and the risks inherent to its natural characteristics, Remote Sensing stands out. Therefore, the general objective of this research was to evaluate the effectiveness of the NDVI, SAVI and LAI vegetation indices in recording the consequences of an extreme climatic event that occurred on June 1, 2016, in the mangroves of the Reserva de Desenvolvimento Sustentável Municipal Piraquê Açu-Mirim, located in Aracruz (ES), Southeast Coast Brazil. To achieve the objective, time series between February 2016 (before the event) and December 2020 were used. The results, which include maps and statistical graphs, allowed the delimitation of areas according to the intensities of the impacts and their consequences on the vegetation. While the vegetation of Piraquê-Açu underwent regeneration processes in all affected areas, in Piraquê-Mirim the area with the greatest impact remained destroyed. Given the socio-environmental importance of mangroves, it is necessary to implement projects aimed at their recovery. Both the methodology and the indices were efficient to achieve the objectives and can be reproduced in other mangroves.

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Long-term effects of oil pollution in mangrove forests (Baixada Santista, Southeast Brazil) detected using a GIS-based multitemporal analysis of aerial photographs

Cited by 22 publications

References 22 publications

Changing pollinator communities along a disturbance gradient in the Sundarbans mangrove forest: a case study onAcanthus ilicifoliusandAvicennia officinalis

Changing pollinator communities along a disturbance gradient in the Sundarbans mangrove forest: a case study onAcanthus ilicifoliusandAvicennia officinalis

Tracking canopy gaps in mangroves remotely using deep learning

Impact evaluation of the extreme weather event in mangroves of the Brazilian Southeast Coast with remote sensing

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