Multi-faceted analyses of seasonal trends and drivers of land surface variables in Indo-Gangetic river basins

Uereyen, Soner; Bachofer, Felix; Klein, Igor; Kuenzer, Claudia

doi:10.1016/j.scitotenv.2022.157515

Cited by 9 publications

(5 citation statements)

References 94 publications

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“…These Himalayan glaciers are receding faster as a result of rising temperatures induced by greenhouse gas emissions, considerable unpredictability in precipitation trends, and an increase in glacier melt, which will have catastrophic societal and geomorphic impacts on IGB river basins ( Xu et al, 2009 ; Kääb et al, 2012 ; Nepal & Shrestha, 2015 ; Azam et al, 2021 ). Such amplified climate changes and spatio-temporal variations have greatly affected the snow cover and surface water areas of the IGB river basins ( Siderius et al, 2013 ; Kiani et al, 2021 ; Mondal et al, 2021 ; Nazeer et al, 2022 ; Uereyen et al, 2022 ). In consequence, hydrological extremes, such as floods and droughts, may endanger both human and wildlife habitats in the IGB river basins throughout the 21st century ( Wijngaard et al, 2017 ; Veh, Korup & Walz, 2020 ; Dahri et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Matrilineal phylogeny and habitat suitability of the endangered spotted pond turtle (Geoclemys hamiltonii; Testudines: Geoemydidae): a two-dimensional approach to forecasting future conservation consequences

Kundu,

Mukherjee,

Kamalakannan

et al. 2023

PeerJ

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The spotted pond turtle (Geoclemys hamiltonii) is a threatened and less explored species endemic to Bangladesh, India, Nepal, and Pakistan. To infer structural variation and matrilineal phylogenetic interpretation, the present research decoded the mitogenome of G. hamiltonii (16,509 bp) using next-generation sequencing technology. The mitogenome comprises 13 protein-coding genes (PCGs), 22 transfer RNAs (tRNAs), two ribosomal RNAs (rRNAs), and one AT-rich control region (CR) with similar strand symmetry in vertebrates. The ATG was identified as a start codon in most of the PCGs except Cytochrome oxidase subunit 1 (cox1), which started with the GTG codon. The non-coding CR of G. hamiltonii was determined to have a unique structure and variation in different domains and stem-loop secondary structure as compared with other Batagurinae species. The PCGs-based Bayesian phylogeny inferred strong monophyletic support for all Batagurinae species and confirmed the sister relationship of G. hamiltonii with Pangshura and Batagur taxa. We recommend generating more mitogenomic data for other Batagurinae species to confirm their population structure and evolutionary relationships. In addition, the present study aims to infer the habitat suitability and habitat quality of G. hamiltonii in its global distribution, both in the present and future climatic scenarios. We identify that only 58,542 km2 (7.16%) of the total range extent (817,341 km2) is suitable for this species, along with the fragmented habitats in both the eastern and western ranges. Comparative habitat quality assessment suggests the level of patch shape in the western range is higher (71.3%) compared to the eastern range. Our results suggest a massive decline of approximately 65.73% to 70.31% and 70.53% to 75.30% under ssp245 and ssp585 future scenarios, respectively, for the years between 2021–2040 and 2061–2080 compared with the current distribution. The present study indicates that proper conservation management requires greater attention to the causes and solutions to the fragmented distribution and safeguarding of this endangered species in the Indus, Ganges, and Brahmaputra (IGB) river basins.

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Section: Discussionmentioning

confidence: 99%

Matrilineal phylogeny and habitat suitability of the endangered spotted pond turtle (Geoclemys hamiltonii; Testudines: Geoemydidae): a two-dimensional approach to forecasting future conservation consequences

Kundu,

Mukherjee,

Kamalakannan

et al. 2023

PeerJ

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“…In the face of climate change and unpredictable weather extremes, a comprehensive understanding of the relationship between snow cover (snow melt) and erosion is essential for sustainable conservation practices. Anticipated significant changes in snow cover, such as declines or increases in snow cover duration and snow depth, are expected due to global warming, an increase in temperature anomalies, and extreme weather events [38].…”

Section: Snow and Ice Hazardsmentioning

confidence: 99%

Safeguarding Our Heritage—The TRIQUETRA Project Approach

Ioannidis,

Verykokou,

Soile

et al. 2024

Heritage

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Cultural heritage (CH) sites are frequently exposed to natural elements, and their exposure becomes particularly precarious with the onset of climate change. This increased vulnerability places these sites at risk of deterioration or complete destruction. Risks such as land deformation, floods, acid rain, and erosion significantly threaten historic monuments, while water-related hazards, significantly influenced by both climate change and human activities, present a particularly grave risk to these invaluable sites. Considerable research efforts have focused on safeguarding CH sites. However, there remains a deficiency in systemic approaches towards identifying and mitigating risks for CH sites. The TRIQUETRA project proposes a technological toolbox and a methodological framework for tackling climate change risks and natural hazards threatening CH in the most efficient way possible. It aims at creating an evidence-based assessment platform allowing precise risk stratification as well as a database of available mitigation measures and strategies, acting as a Decision Support System (DSS) towards efficient risk mitigation and site remediation. TRIQUETRA is a European project that brings together a diverse group of researchers with varied expertise, encompassing university research groups, research institutes, public entities, as well as small and medium-sized enterprises. In this article, TRIQUETRAs overall methodology is presented, and preliminary results concerning risk identification, TRIQUETRAs knowledge base, as well as novel sensors and coatings, are discussed.

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“…The filling of missing data is an important step required for time-series analyses. In comparison to other NDVI studies, for which solely linear interpolation has been applied, e.g., using Satellite Pour l'Observation de la Terre-Végétation (SPOT-VGT), GIMMS or MODIS NDVI data [49,70,94,95], we suggest using a method that is also able to keep the NDVI phenological signal in case of requiring the reconstruction of longer data gaps for the TIMELINE NDVI time-series. There are several possible pre-processing methods, and the choice of which to use depends upon the subject of the envisaged analysis and the study region, for example [54,[96][97][98][99][100][101].…”

Section: Generation Of Continuous Ndvi Time-seriesmentioning

confidence: 99%

“…A common means to investigate long-term vegetation change is trend analysis, which has been widely performed at regional to global scales [42][43][44][45][46][47][48][49]. Despite the large number of NDVI trend analyses performed around the globe, pan-European studies are rare.…”

Section: Introductionmentioning

confidence: 99%

Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series—The TIMELINE NDVI Product

et al. 2023

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Remote sensing multi-decadal time-series provide important information for analysing long-term environmental change. The Advanced Very High Resolution Radiometer (AVHRR) has been providing data since the early 1980s. Normalised Difference Vegetation Index (NDVI) time-series derived thereof can be used for monitoring vegetation conditions. This study presents the novel TIMELINE NDVI product, which provides a consistent set of daily, 10-day, and monthly NDVI composites at a 1 km spatial resolution based on AVHRR data for Europe and North Africa, currently spanning the period from 1981 to 2018. After investigating temporal and spatial data availability within the TIMELINE monthly NDVI composite product, seasonal NDVI trends have been derived thereof for the period 1989–2018 to assess long-term vegetation change in Europe and northern Africa. The trend analysis reveals distinct patterns with varying NDVI trends for spring, summer and autumn for different regions in Europe. Integrating the entire growing season, the result shows positive NDVI trends for large areas within Europe that confirm and reinforce previous research. The analyses show that the TIMELINE NDVI product allows long-term vegetation dynamics to be monitored at 1 km resolution on a pan-European scale and the detection of specific regional and seasonal patterns.

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Multi-faceted analyses of seasonal trends and drivers of land surface variables in Indo-Gangetic river basins

Cited by 9 publications

References 94 publications

Matrilineal phylogeny and habitat suitability of the endangered spotted pond turtle (Geoclemys hamiltonii; Testudines: Geoemydidae): a two-dimensional approach to forecasting future conservation consequences

Matrilineal phylogeny and habitat suitability of the endangered spotted pond turtle (Geoclemys hamiltonii; Testudines: Geoemydidae): a two-dimensional approach to forecasting future conservation consequences

Safeguarding Our Heritage—The TRIQUETRA Project Approach

Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series—The TIMELINE NDVI Product

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