All EarthPub Date : 2022-07-22DOI: 10.1080/27669645.2022.2105485
S. Yeboah, I. Amponsah, J. S. Kaba, A. Abunyewa
{"title":"Abundance, richness and use of medicinal plants under different land uses in the Guinea Savanna zone of Northern Ghana","authors":"S. Yeboah, I. Amponsah, J. S. Kaba, A. Abunyewa","doi":"10.1080/27669645.2022.2105485","DOIUrl":"https://doi.org/10.1080/27669645.2022.2105485","url":null,"abstract":"ABSTRACT Change in land use affects the conservation of medicinal plants. We assessed the abundance and richness of medicinal plants under different land-use systems in Ghana. The land-use types consisted of protected area (PA), Fallowed Land (FL) and Farmed area (FA). A total of 45 quadrats (30 m × 30 m) were laid randomly and medicinal plants identified. Soil samples (0–15 cm) were also collected from nested quadrats for physiochemical analysis. Additionally, ethnobotanical survey of 210 key informants was carried out using Snowball sampling method to identify plant parts used and ailments treated. The result identified 107 species of medicinal plants, and the roots (34.4%) and bark (33.3%) were mostly used. PA had higher (P < 0.05) abundance (81.75 ± 6.74) and richness (19.80 ± 0.96) while FA had the least. The principal component analysis (PCA) showed that PC1 accounted for 48.7% of the variance with abundance (0.8092), richness (0.9168), TN (0.9312) and ECEC (0.7789) positively loaded on it. The PC2 accounted for 24.1% of the variance in the soil physical properties. We established that integrating medical plants into crops as Agroforestry system can improve their conservation. Our findings have implications for the attainment of the sustainable development goals (SDGs) 3 , 13 and 15 .","PeriodicalId":238835,"journal":{"name":"All Earth","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125549236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
All EarthPub Date : 2022-07-21DOI: 10.1080/27669645.2022.2104990
Haowei Mu, Chen Xu, Donglie Liu, Xuecao Li, Yuyu Zhou, P. Gong, Jianxi Huang, Xiaoping Du, Jingchen Guo, Wenting Cao, Zhongchang Sun
{"title":"Identifying discrepant regions in urban mapping from historical and projected global urban extents","authors":"Haowei Mu, Chen Xu, Donglie Liu, Xuecao Li, Yuyu Zhou, P. Gong, Jianxi Huang, Xiaoping Du, Jingchen Guo, Wenting Cao, Zhongchang Sun","doi":"10.1080/27669645.2022.2104990","DOIUrl":"https://doi.org/10.1080/27669645.2022.2104990","url":null,"abstract":"ABSTRACT Although several products of the global urban extent with fine resolutions (e.g. 30 m-38 m) have been developed, quantitative evaluations of these products across spaces and times are still missing, which is crucial to future urban growth modeling. Here, we analysed the discrepancy of six global fine resolution urban extent products across spaces and times. First, we measured the area variations of urban extent among these urban products in each 0.25° grid used in the Land-Use Harmonisation (LUH2), a commonly used product with future projections in Earth system modelling. Then, we analysed the potential urban growth within each 0.25° grid using the LUH2 data under eight scenarios shaped by shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs). Finally, we identified those regions with a large discrepancy and noticeable growth of urban extent under historic and SSP-RCPs scenarios. We found the discrepancy among six products occurs in either highly developed (e.g. the United States-US and Europe) or rapidly developing (e.g. China) regions. Moreover, Eastern US, Europe, and West Africa deserve more attention in the future due to their distinct urban growth and relatively large discrepancy of urban areas. The derived results are crucial to future global urban sprawl modeling .","PeriodicalId":238835,"journal":{"name":"All Earth","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125583648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
All EarthPub Date : 2022-07-19DOI: 10.1080/27669645.2022.2103953
Mohamed A. E. AbdelRahman, B. Engel, Mona S. M. Eid, Hesham M. Aboelsoud
{"title":"A new index to assess soil sustainability based on temporal changes of soil measurements using geomatics – an example from El-Sharkia, Egypt","authors":"Mohamed A. E. AbdelRahman, B. Engel, Mona S. M. Eid, Hesham M. Aboelsoud","doi":"10.1080/27669645.2022.2103953","DOIUrl":"https://doi.org/10.1080/27669645.2022.2103953","url":null,"abstract":"ABSTRACT A Soil Sustainability Index (SSI) is developed based on integration of Soil Degradation Rate (SDR), Soil Fertility Index (SFI), Soil Quality Index (SQI) and Soil Resilience Rate (SRR). SDI, SRR, SQI, and SFI resemble in being measurable from soil attributes that reveal the soil-environment functionality. This approach index was calculated based on four vertices, which are represented by the SDR and SRR exploring the inherent soil properties, SOI; capacity of the soil to function, and SFI; the presence of adequately available plant nutrients. The four studied indices were categorized as low, moderate and high classes with percentages of total area for the study area for SFI being: 4.01, 54.46, 31.21%; and for SQI: 19.26, 30.27, 40.15%; while for SDR: 34.00, 29.19, 26.48%; and SRR: 17.80, 56.99 and 14.89%. The SSI was calculated to assess the current state of the soil under the influence of different agricultural management practices. It depends on the area of the square where SQI, SFI, SDR and SRR are the four vertices of the square. The proposed SSI equation obtaining results of: 7.65, 41.88, and 40.15% of total area as low, moderate and high classes, respectively. This work obtained new formula and definition for soil sustainability.","PeriodicalId":238835,"journal":{"name":"All Earth","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124994927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
All EarthPub Date : 2022-07-14DOI: 10.1080/27669645.2022.2097768
E. Forootan, N. Mehrnegar
{"title":"A hierarchical Constrained Bayesian (ConBay) approach to jointly estimate water storage and Post-Glacial Rebound from GRACE(-FO) and GNSS data","authors":"E. Forootan, N. Mehrnegar","doi":"10.1080/27669645.2022.2097768","DOIUrl":"https://doi.org/10.1080/27669645.2022.2097768","url":null,"abstract":"ABSTRACT Gravity Recovery and Climate Experiment (GRACE) and its Follow-On mission (GRACE-FO) have become an indispensable tool in monitoring global mass variations. However, separating GRACE(-FO) signals into its individual Terrestrial Water Storage Changes (TWSC) and surface deformation contributors, i.e. Post-Glacial Rebound (PGR), is desirable for many hydro-climatic and geophysical applications. In this study, a hierarchical constrained Bayesian (ConBay) approach is formulated to apply GRACE(-FO) fields and the uplift rate measurements from the Global Navigation Satellite System (GNSS) stations to simultaneously estimate the contribution of TWSC and PGR. The proposed approach is formulated based on a hierarchical Markov Chain Monte Carlo optimisation algorithm within a dynamic multivariate state-space model, while accounting for the uncertainties of a priori information and observations. The numerical implementation is demonstrated over the Great Lakes area, covering 2003–2017, where the W3RA water balance and the ICE-5G(VM2) and ICE-6G-D(VM5a) GIA models are merged with GRACE and GNSS data. Validations are performed against independent measurements, which indicate that the average root-mean-squares-of-differences between the PGR estimates and independent measurements reduced by after merging observations with models through ConBay. The ConBay updates, introduced to the long-term trends, as well as the seasonal and inter-annual components, are found to be realistic.","PeriodicalId":238835,"journal":{"name":"All Earth","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130068509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
All EarthPub Date : 2022-07-12DOI: 10.1080/27669645.2022.2101256
Navdeep Agrawal, J. Dixit
{"title":"Assessment of landslide susceptibility for Meghalaya (India) using bivariate (frequency ratio and Shannon entropy) and multi-criteria decision analysis (AHP and fuzzy-AHP) models","authors":"Navdeep Agrawal, J. Dixit","doi":"10.1080/27669645.2022.2101256","DOIUrl":"https://doi.org/10.1080/27669645.2022.2101256","url":null,"abstract":"ABSTRACT The main goal of the present study is to generate the GIS-based landslide susceptibility map (LSM) of Meghalaya, India. For this purpose, two bivariate statistical (FR and SE) and multi-criteria decision analysis (AHP and Fuzzy-AHP) methods are utilised. The study area is situated over the Shillong Plateau in the North Eastern Region of India and is subjected to numerous landslides due to heavy rainfall and seismic activities. To obtain the LSMs, a landslide inventory of 1330 events and 15 conditioning factors are prepared. The inventory dataset is randomly split into a 70/30 ratio to make training and testing datasets for the study. The results show that the southern escarpment, the southeast region and the hillslopes along the roadsides are highly susceptible to a landslide. The LSMs are validated using the area under the curve (AUC) values and F1-scores, in which AHP (AUCAHP = 0.913; F1-score = 0.884) shows the highest prediction accuracy for Meghalaya. The generated LSMs can help in landslide risk mitigation strategies and sustainable infrastructure development.","PeriodicalId":238835,"journal":{"name":"All Earth","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134299984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
All EarthPub Date : 2022-07-11DOI: 10.1080/27669645.2022.2095715
H. Iz
{"title":"Validating predictability of a sea level rise at a tide gauge station","authors":"H. Iz","doi":"10.1080/27669645.2022.2095715","DOIUrl":"https://doi.org/10.1080/27669645.2022.2095715","url":null,"abstract":"ABSTRACT Predicting coastal sea level rise during the 21st century is essential for risk assessments. It is, therefore, a central theme for numerous studies in predicting sea level rise at coastal regions using historical tide gauge measurements. However, these investigations rarely investigated if such an extrapolation of sea level rise at a coastal region is viable without evidence. This study proposes a broadly framed three-tier statistical validation approach for kinematic models that use tide gauge measurements in sea level predictions. It consists of a concurrent (contemporaneous) validation, retrospective (hindcast) validation and prospective (forecast) validation. The modus operandi for each stage is exemplified using sea level measurements at Brest tide gauge station since 1800. The proposed three-tiered validation process provide statistical information about the predictions to be made at this station.","PeriodicalId":238835,"journal":{"name":"All Earth","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116206550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
All EarthPub Date : 2022-07-08DOI: 10.1080/27669645.2022.2097040
Laila Boubkari, Mohammed Achalhi, Otmane Raji, Muhammad Ouabid, J. Bodinier, I. El Kati, Hicham El Messbahi
{"title":"Neogene basins in Eastern Rif of Morocco and their potential to host native sulphur","authors":"Laila Boubkari, Mohammed Achalhi, Otmane Raji, Muhammad Ouabid, J. Bodinier, I. El Kati, Hicham El Messbahi","doi":"10.1080/27669645.2022.2097040","DOIUrl":"https://doi.org/10.1080/27669645.2022.2097040","url":null,"abstract":"ABSTRACT Sediment-hosted sulphur deposits provide valuable information on sedimentary biogeochemical processes related to microbial activity and are paleoenvironmental proxy records. They are also used as markers for oil exploration and the largest ones may represent exploitable economic resources of sulphur. Biogenic sulphur occurrences associated with Neogene formations are found around the Western Mediterranean, in Southern Europe (e.g. Hellin, Lorca, and Teruel, Spain, and Sicily, Italy). In northern Morocco, similar geological settings are present where several sediment-hosted sulphur occurrences were reported by unpublished studies. In this study, we provide the first description of such occurrences selected from two Neogene basins in the Eastern Rif (Taza-Guercif and Boudinar) and studied using sedimentological facies analysis and mineralogical data. The studied facies occur as yellowish sub-spherical concretions, nodules, and laminated structures associated with gypsiferous marls or organic-matter-rich marly clays and gypsum lenses. Mineralogical analysis revealed a mineralogical assemblage composed mainly jarosite, gypsum, and native sulphur. These geo-markers are indicative of bacterially mediated sulphate reduction and favourable conditions for the formation of sulphur, especially at the level of the Guercif basin. In contrast, Ras Tarf volcanism probably contributed to the observed facies in the Boudinar basin through different processes.","PeriodicalId":238835,"journal":{"name":"All Earth","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132408990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of spatiotemporal filtering methods towards optimising crustal movement observation network of China (CMONOC) GNSS data processing at different spatial scales","authors":"Hao Wang, Wenhao Li, Chanfang Shu, C. Shum, Fei Li, Shengkai Zhang, Zikang Zhang","doi":"10.1080/27669645.2022.2098611","DOIUrl":"https://doi.org/10.1080/27669645.2022.2098611","url":null,"abstract":"ABSTRACT Spatiotemporal filtering can effectively remove the common mode error (CME) which significantly affects the accuracy of the Global Navigation Satellite System (GNSS) coordinate time series. This contribution explores the performance of different spatiotemporal filtering methods applied to GNSS networks at different spatial scales. We selected small-scale (<500 km) and large-scale (>2000 km) GNSS networks from the Crustal Movement Observation Network of China (CMONOC) for the focus of the study. To remove or mitigate CME from the different-scale GNSS networks, principal component analysis (PCA), independent component analysis (ICA) and correlation-weighted spatial filtering (CWSF) are compared. In addition, we investigate the correlations between each of the GNSS station residual time series to examine the effectiveness of the novel CME filter. When compared with PCA and ICA results, we find that CWSF is less intrusive on the data and is more effective in reducing the CME in the different-scale GNSS networks, and thus the preferred the filtering methodology. We conclude that this study could provide an important reference to remove CME from GNSS coordinate time series.","PeriodicalId":238835,"journal":{"name":"All Earth","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117144845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
All EarthPub Date : 2022-07-06DOI: 10.1080/27669645.2022.2098895
Ding Ren, Lilong Liu, Liangke Huang, Lv Zhou
{"title":"Hydrological variability and loading deformation in the Yangtze river basin based on modern geodetic means","authors":"Ding Ren, Lilong Liu, Liangke Huang, Lv Zhou","doi":"10.1080/27669645.2022.2098895","DOIUrl":"https://doi.org/10.1080/27669645.2022.2098895","url":null,"abstract":"ABSTRACT The complex process of water storage change in the Yangtze River Basin (YRB) includes strong feedbacks and connections with global climate change. This study adopted Global Positioning System (GPS) observations and Gravity Recovery and Climate Experiment (GRACE) and Follow-On (FO) data from 2002 to 2021, along with Global Land Data Assimilation System (GLDAS) model outputs and Satellite Altimetry data, to analyse changes in hydrological mass in the YRB. Singular Spectrum Analysis (SSA) was used fill the missing data of GRACE/GRACE-FO from 2017 to 2018. GRACE/GRACE-FO and GLDAS derived terrestrial water storage (TWS) show different spatial distributions in the different river sections of YRB, and the long-term positive trend is due to increased mass, mainly in the late upstream and middle-lower reaches. Principal component analysis (PCA) was used to separate the common-mode components (CMC) in the YRB’s continuous GPS network, and it was found several of these periodic oscillation signals are connected to hydrology. In addition, it was discovered that changes in hydrological mass in the YRB are influenced by precipitation and temperature and TWS anomalies may be associated with El Niño/Southern Oscillation (ENSO) events. These findings increase our understanding of the complex climate and dynamic hydrological processes of YRB.","PeriodicalId":238835,"journal":{"name":"All Earth","volume":"115 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120842848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
All EarthPub Date : 2022-05-21DOI: 10.1080/27669645.2022.2081112
Navdeep Agrawal, Laxmi Gupta, J. Dixit
{"title":"Geospatial assessment of active tectonics using SRTM DEM-based morphometric approach for Meghalaya, India","authors":"Navdeep Agrawal, Laxmi Gupta, J. Dixit","doi":"10.1080/27669645.2022.2081112","DOIUrl":"https://doi.org/10.1080/27669645.2022.2081112","url":null,"abstract":"ABSTRACT Meghalaya, situated over the Shillong Plateau in the northeastern region of India, is considered a seismo-tectonically active region because of the Indian-Eurasian convergence and rising since the Cenozoic era. The present study aims to identify active deformation zones due to tectonic activity following a morphometric approach. Based on DEM data and GIS techniques, morphometry parameters along with geomorphic indices are obtained which allows the analysis of geomorphic processes responsible for the region’s landscape evolution, and indices of relative active tectonics (IRAT) are calculated by combining them. High drainage density, larger ruggedness number, intermediate to high hypsometric integral values with S/convex-type hypsometric curve, lower valley floor width-to-height ratio and stream sinuosity index values suggesting the region is tectonically active and according to IRAT, the Khasi and Jaintia Hills region (the central and eastern part) of the Meghalaya possesses relatively higher tectonic levels. The variation of tectonic activity is not uniform in the same structural feature and is found to be lower in the western portion and higher towards the east along the same Dauki Fault.","PeriodicalId":238835,"journal":{"name":"All Earth","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130399881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}