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Article ; Online: Ecology and conservation of threatened medicinal plants in the Trans-Himalayan region of Nanda Devi Biosphere Reserve, Western Himalaya

Arun Pratap Mishra / Amit Kumar / Shiv Narayan Yadav

Trees, Forests and People, Vol 14, Iss , Pp 100451- (2023)

2023

Abstract: The Trans-Himalayan region is home to valuable medicinal plants with therapeutic properties. However, overgrazing, excessive harvesting, habitat destruction, and climate change have led to a decline in their wild populations. This study focuses on high- ... ...

Abstract	The Trans-Himalayan region is home to valuable medicinal plants with therapeutic properties. However, overgrazing, excessive harvesting, habitat destruction, and climate change have led to a decline in their wild populations. This study focuses on high-value and threatened medicinal plant species in the Trans-Himalayan region of Nanda Devi Biosphere Reserve, Uttarakhand. It analyzes their population status, trade, price trends, operative threats, and pressure level. The study also develops a habitat suitability map to understand the factors influencing their distribution. The research identified 34 high-value and threatened medicinal plant species in the region. Sinopodophyllum hexandrum had the largest potentially suitable area (11.10 km2), followed by Picrorhiza kurroa (7.65 km2) and Arnebia benthamii (4.39 km2). Saussurea obvallata (2.55 km2) and Dactylorhiza hatagirea (1.09 km2) had the smallest potential suitable areas. The excessive collection of these plants for medicine, local consumption and illegal trade is causing destructive impacts. This uncontrolled exploitation endangers their wild population, regeneration, and survival. To address this issue, the study recommends preparing micro-plans, assessing available growing stock, and implementing sustainable management practices to conserve the dwindling populations. The study highlights the urgent need for conservation efforts in the Trans-Himalayan region.
Keywords	Biodiversity ; Cold desert ; Conservation ; Medicinal plants ; Threatened ; Trans-Himalaya ; Forestry ; SD1-669.5 ; Plant ecology ; QK900-989
Subject code	333 ; 580
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Ecological status and spatial extent of non-native shrubs Lantana camara L. and Ageratina adenophora Sprengel in the forest communities of western Himalaya

Vinod Chandra Joshi / Naveen Chandra / R.C. Sundriyal / Dhani arya / Arun Pratap Mishra / Hazem Ghassan Abdo

Trees, Forests and People, Vol 15, Iss , Pp 100494- (2024)

2024

Abstract: This research elucidates the ecological status and spatial extent of two non-native invasive species, Lantana camara L. and Ageratina adenophorum Sprengel, within dominant forest communities across an altitude gradient in the western Himalayan region. ... ...

Abstract	This research elucidates the ecological status and spatial extent of two non-native invasive species, Lantana camara L. and Ageratina adenophorum Sprengel, within dominant forest communities across an altitude gradient in the western Himalayan region. The study, conducted from 2017 to 2019 in the Nainital district of Kumaun Himalaya, focused on four forest communities; Sal, Chir-pine, Banj-oak, and Mixed-oak, spanning an altitudinal range from 300 to 2250 meters. Environmental predictors encompassing topographic, physiographic, and climatic factors, along with species occurrence records, were employed to determine spatial extent. The MaxEnt statistical model, a machine learning algorithm, facilitated the assessment of the spatial distribution of invasives. Results indicate that L. camara has invaded Sal, Chir-pine, and Banj oak forests but has not established in high-elevation mixed-oak stands. Conversely, A. adenophora has invaded Chir-pine, Banj-oak, and Mixed-oak stands but has not been observed in low-altitude Sal forests. No significant variation in species number, diversity, or distribution pattern along the elevation gradient was observed for either species. Spatial assessment using MaxEnt revealed an estimated area of 380 km² for A. adenophora and 285 km² for L. camara. The study highlights the mid-altitude zone as the most vulnerable to species invasion. This scientific inquiry contributes valuable insights for the conservation of non-native shrubs, offering guidance for effective, species-specific conservation and management strategies in the Himalayan region.
Keywords	Invasive species ; Western Himalaya ; Species composition ; Species distribution ; MaxEnt model ; Forestry ; SD1-669.5 ; Plant ecology ; QK900-989
Subject code	580
Language	English
Publishing date	2024-03-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Physicochemical Parameters of Water and Its Implications on Avifauna and Habitat Quality

Arun Pratap Mishra / Sipu Kumar / Rounak Patra / Amit Kumar / Himanshu Sahu / Naveen Chandra / Chaitanya B. Pande / Fahad Alshehri

Sustainability, Vol 15, Iss 9494, p

2023 Volume 9494

Abstract: Wetland ecosystems are essential for maintaining biological diversity and are significant elements of the global landscape. However, the biodiversity of wetlands has been significantly reduced by more than 50% worldwide due to the rapid expansion of ... ...

Abstract	Wetland ecosystems are essential for maintaining biological diversity and are significant elements of the global landscape. However, the biodiversity of wetlands has been significantly reduced by more than 50% worldwide due to the rapid expansion of urban areas and other human activities. The aforementioned factors have resulted in drastic antagonistic effects on species composition, particularly aquatic avifauna. The decline in wetland avifauna, which can be attributed to changes in water quality that impact aquatic habitats, is a major concern. In this study, we evaluated the impact of physicochemical parameters on aquatic avifauna in India’s first Conservation Reserve, a Ramsar site and an Important Bird Area. Water samples were collected on a monthly basis across nine different sites and various parameters, such as temperature, electrical conductivity, pH, biological oxygen demand, dissolved oxygen, total dissolved solids and salinity, were analyzed for pre-monsoon and post-monsoon seasons, while point count surveys were conducted to assess species richness and the density of waterbirds. Our findings show a positive correlation of species density with water temperature (r = 0.57), total dissolved solids (r = 0.56) and dissolved oxygen (r = 0.6) for pre-monsoon season and a negative correlation for dissolved oxygen (r = −0.62) and biological oxygen demand (r = −0.69) for post-monsoon season. We suggest that a synergistic effect of pH, salinity, biological oxygen demand and total dissolved solids may affect aquatic bird populations in Asan Conservation Reserve. Poor water quality was observed in a few sampling sites, which may negatively affect the number and density of waterbirds present. The findings of this study emphasize the importance of water quality in wetland conservation, particularly for aquatic avifauna.
Keywords	Asan ; diversity ; ecosystem ; pollutants ; Ramsar ; wetland ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling

Chaitanya B. Pande / Pranaya Diwate / Israel R. Orimoloye / Lariyah Mohd Sidek / Arun Pratap Mishra / Kanak N. Moharir / Subodh Chandra Pal / Fahad Alshehri / Abebe Debele Tolche

Geomatics, Natural Hazards & Risk, Vol 15, Iss

2024 Volume 1

Abstract: AbstractThis research uses a Classification and Regression Tree (CART) model with Google Earth Engine (GEE) to assess the winter season’s land cover and change detection mapping impact on the evapotranspiration (crop water requirement) parameters. Winter ...

Abstract	AbstractThis research uses a Classification and Regression Tree (CART) model with Google Earth Engine (GEE) to assess the winter season’s land cover and change detection mapping impact on the evapotranspiration (crop water requirement) parameters. Winter seasons, crucial for agricultural planning, and irrigation water requirement challenges in accurately mapping land cover and detecting changes due to the dynamic nature of farming practices during this period. In this study, Landsat-8 OLI images have been combined to map Land use and Land cover (LULC) and other change detection mapping in Akola Block, Maharashtra, India, during the 2018–2022 winter season. As an discoverer researcher that found detailed information of LULC classes during last 2018 to 2022 winter seasons, the use of the CART model in combination with a cloud-computing GEE demonstrates to be a practical approach for accurate land cover classification and change detection maps to create a pixel-based winter seasons information of study area. The novelty of this study lies in its innovative use of GEE, a powerful platform for remote sensing and geospatial analysis, to create LULC maps with remarkable accuracy. Achieving a 100% training accuracy across the four years under consideration is an exceptional feat, highlighting the reliability and stability of the methodology. Furthermore, the validation accuracy values, ranging from 89 to 94% for the winter seasons of 2018 to 2022, underscore the robustness of this approach. Such consistently high accuracy in mapping LULC over time is a groundbreaking achievement and offers a new dimension to the field of hydrology. For the hydrological community, the implications of this study are profound. Accurate LULC mapping and change detection provide critical data for modeling and analyzing the effects of land use changes on water resources, watershed management, and water quality. The User, Kappa, and Producer accuracy metrics used in this research highlight the model’s performance and its suitability for ...
Keywords	GEE ; CART model ; LULC ; satellite data ; remote sensing ; energy ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Risk in industry. Risk management ; HD61
Subject code	333
Language	English
Publishing date	2024-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: INFRASTRUCTURE BASED HIERARCHY OF TOWNS

Arun Pratap Mishra / Ashok Kumar

Golden Research Thoughts, Vol 3, Iss 11, Pp 1-

A CASE STUDY OF GUJARAT STATE

2014 Volume 7

Abstract: Upon the hierarchy of central functions is based the hierarchy of central places and their corresponding service areas. Christaller was the first to develop the idea of such a hierarchy in his central place theory and a number of scholars have ... ...

Abstract	Upon the hierarchy of central functions is based the hierarchy of central places and their corresponding service areas. Christaller was the first to develop the idea of such a hierarchy in his central place theory and a number of scholars have demonstrated the concrete existence of such an order. It is also our main concern to investigate functional based hierarchy of towns in relation to the size base hierarchy of towns.
Keywords	Infrastructure ; demonstrated ; geography ; methods and techniques ; General Works ; A
Language	English
Publishing date	2014-05-01T00:00:00Z
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Predicting Distribution and Range Dynamics of Three Threatened Cypripedium Species under Climate Change Scenario in Western Himalaya

Naveen Chandra / Gajendra Singh / Ishwari Datt Rai / Arun Pratap Mishra / Mohd. Yahya Kazmi / Arvind Pandey / Jeewan Singh Jalal / Romulus Costache / Hussein Almohamad / Motrih Al-Mutiry / Hazem Ghassan Abdo

Forests, Vol 14, Iss 633, p

2023 Volume 633

Abstract: Climate change and anthropogenic pressure have significantly contributed to the decline of biodiversity worldwide, particularly in mountain ecosystems such as the Himalaya. In addition to being relatively sensitive to disturbances, orchids may also ... ...

Abstract	Climate change and anthropogenic pressure have significantly contributed to the decline of biodiversity worldwide, particularly in mountain ecosystems such as the Himalaya. In addition to being relatively sensitive to disturbances, orchids may also respond more quickly to climate change impacts than other plant species. Because of their complex biology and anthropogenic pressures on their habitat in the Himalayan region, lady’s slipper orchids are considered to be a highly vulnerable group of orchids. In the present study, we examine the effect of climate change on the distribution of three threatened Cypripedium species ( Cypripedium cordigerum , Cypripedium elegans , and Cypripedium himalaicum ), utilizing ecological niche modeling for present and future climatic scenarios to identify key environmental determinants and population parameters. A community climate system model (CCSM ver. 4) was used to identify suitable distribution areas for future scenarios. Based on the least correlated characteristics of the species bioclimatic, topographical, and physiological characteristics, the species’ climatic niche was determined. According to the results, the true skill statistic (TSS), area under the receiver operating characteristic curve (AUC), and Cohen’s kappa provide more reliable predictions. Precipitation during the wettest month and precipitation during the coldest quarter are the primary climatic variables that influence the distribution of suitable areas. A total of 192 km 2 of the area was estimated to be suitable for all three species under current climate conditions. Under future climate conditions, the model predicts a trivial increase in suitable habitat areas with a shift toward the northwest. However, highly suitable habitat areas will be severely diminished. There are currently highly suitable habitats in Tungnath and the Valley of Flowers, but due to climatic factors, the habitats will become unsuitable in the future. Additionally, under future climatic scenarios, viable habitats will be identified ...
Keywords	potential distribution ; range expansion ; anthropogenic pressure ; climate change ; Plant ecology ; QK900-989
Subject code	333
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps

Romulus Costache / Hazem Ghassan Abdo / Arun Pratap Mishra / Subodh Chandra Pal / Abu Reza Md. Towfiqul Islam / Chaitanya B. Pande / Hussein Almohamad / Ahmed Abdullah Al Dughairi / Jasem A. Albanai

Geomatics, Natural Hazards & Risk, Vol 14, Iss

case study of Prahova River basin, Romania

2023 Volume 1

Abstract: AbstractIn this work, the vulnerability to flooding in the Prahova River basin was calculated and analyzed using advanced methods and techniques. Thus, 2 hybrid models represented by Iterative Classifier Optimizer – Multiclass Alternating Decision Tree – ...

Abstract	AbstractIn this work, the vulnerability to flooding in the Prahova River basin was calculated and analyzed using advanced methods and techniques. Thus, 2 hybrid models represented by Iterative Classifier Optimizer – Multiclass Alternating Decision Tree – Certainty Factor (ICO-LADT-CF) and Fuzzy-Analytical Hierarchy Process – Certainty Factor (FAHP-CF) were generated, which had as input data the values of 10 flood predictors and a number of 158 points where historical floods occurred. In the first step, the Certainty Factor values were calculated, which were then used in the Fuzzy-Analytical Hierarchy Process and Multiclass Alternating Decision Tree models. It should be mentioned that the Multiclass Alternating Decision Tree model was optimized with the help of the Iterative Classifier Optimizer. In the case of both ensemble models the slope angle was the most important flood conditioning factor. Moreover, according to Certainty Factor modelling the 8 classes/categories achieved the maximum value of 1. Next, the susceptibility to floods on the surface of the study area was derived. On average, about 20% of the study area has areas with high and medium susceptibility to flash floods. After evaluating the quality of the models through Receiver Operating Characteristics (ROC) Curve, the following results emerged: Success Rate for Flood Potential Index (FPI) Iterative Classifier Optimizer – Multiclass Alternating Decision Tree – Certainty Factor (ICO-LADT-CF) (Area Under Curve = 0.985) and Flood Potential Index (FPI) Fuzzy-Analytical Hierarchy Process – Certainty Factor (FAHP-CF) (Area Under Curve = 0.967); Prediction Rate for Flood Potential Index (FPI) Iterative Classifier Optimizer – Multiclass Alternating Decision Tree – Certainty Factor (ICO-LADT-CF) (Area Under Curve = 0.952) and Flood Potential Index Fuzzy-Analytical Hierarchy Process – Certainty Factor (FAHP-CF) (Area Under Curve = 0.913). At the same time, the accuracies of the models were: Training dataset − 0.943 (Iterative Classifier Optimizer – ...
Keywords	Prahova river basin ; machine learning ; hybrid models ; flood susceptibility ; risk assessment ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Risk in industry. Risk management ; HD61
Subject code	306
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya

Arvind Pandey / Mriganka Shekhar Sarkar / Sarita Palni / Deepanshu Parashar / Gajendra Singh / Saurabh Kaushik / Naveen Chandra / Romulus Costache / Ajit Pratap Singh / Arun Pratap Mishra / Hussein Almohamad / Motrih Al-Mutiry / Hazem Ghassan Abdo

Geomatics, Natural Hazards & Risk, Vol 14, Iss

2023 Volume 1

Abstract: AbstractLandslide susceptibility mapping plays an imperative role in mitigating hazards and determining the future direction of developmental activities in mountainous regions. Here, we used 518 landslide occurrences and nine landslide-conditioning ... ...

Abstract	AbstractLandslide susceptibility mapping plays an imperative role in mitigating hazards and determining the future direction of developmental activities in mountainous regions. Here, we used 518 landslide occurrences and nine landslide-conditioning parameters to build landslide vulnerability models in the Kailash Sacred Landscape (KSL), India. Four multivariate statistical models were applied, namely the generalized linear model (GLM), maximum entropy (MaxEnt), Mahalanobis D2 (MD), and support vector machine (SVM), to calibrate and compare four maps of landslide susceptibility. The results demonstrated the outperformance of Mahalanobis D2 for predictability compared to other models obtained from the area under the receiver operating characteristic curve (ROC). The ensemble model data shows that 10.5% of the landscape has susceptible conditions for future landslides, whereas 89.50% of the landscape falls under the safe zone. The occurrence of landslides in the KSL is linked to the middle elevations, vicinity to water bodies, and the motorable roads. Furthermore, the observed patterns and the resulting models exhibit the major variables that cause landslides and their respective significance. The current modelling approach could provide baseline data at the regional scale to improve the developmental planning in the KSL.
Keywords	Landslide susceptibility modelling ; landslide conditioning ; landscape vulnerability ; Boyce Index ; risk assessment ; Himalaya ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Risk in industry. Risk management ; HD61
Subject code	710
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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