eChapters

2.1    Ecosystem
    2.1.1 Major Components of Ecosystems
    2.1.2 Energy and Matter Flow in Ecosystems
    2.1.3 Various Types of Ecosystems
    
2.2    Biodiversity
    2.2.1 Genetic Diversity
    2.2.2 Species Diversity
    2.2.3 Ecosystem Biodiversity
    2.2.4 Values of Biodiversity
    2.2.5 Threats of Biodiversity
    2.2.6 Endangered and Endemica Species of India
    2.2.7 Biodiversity Conservation

1. Amoeba are unicellular organisms that feed on

a. Bacteria and algae     b. Bacteria and fungi

c. Fungi and algae        d. Nematode and fungi

2.1 Ecosystem

An ecosystem can be defined as a dynamic entity composed of a biological community and its associated abiotic environment. Often the dynamic interactions that occur within an ecosystem are numerous and complex. Ecosystems are also always undergoing changes or alterations to their biotic and abiotic components. Some of these alterations begin first with a change in the state of one component of the ecosystem which then cascades and sometimes amplifies into other components because of relationships.

The human activities of various kinds have resulted in caused a number of dramatic changes to a variety of ecosystems found on the Earth. Humans use and modify natural ecosystems through agriculture, forestry, recreation, urbanization, and industry. The most obvious impact of humans on ecosystems is the loss of biodiversity. The number of extinctions caused by human domination of ecosystems has been steadily increasing since the start of the Industrial revolution. The frequency of species extinctions is correlated to the size of human population on the Earth which is directly related to resource consumption, land-use change, and environmental degradation. Other human impacts to ecosystems include species invasions to new habitats, changes to the abundance and dominance of species in communities, modification of biogeochemical, and modification of hydrologic cycling, pollution, and climatic change.

Introduction 
A system approach to understand the soil-plant-water continuum fundamentally shifts our perspective from viewing these elements in isolation to recognizing them as an intricately woven, dynamic whole. It’s about appreciating that every change in one part of this natural tapestry—be it the soil, the plant, or the water itself—reverberates through the others, creating a cascade of interconnected effects. This holistic lens allows us to dissect the continuous exchange of water and energy, unraveling the complex feedback loops and emergent behaviors that characterize this vital agricultural system. Instead of merely tracking individual inputs and outputs, a systems view compels us to comprehend how these components influence each other over time, leading to a far more nuanced understanding of their collective behavior. At the heart of this continuum lie three primary, yet inseparable, components: the soil, the plant, and the water itself, all profoundly influenced by the atmosphere. The soil acts as both a foundational anchor and a dynamic reservoir. Its very composition—the proportion of sand, silt, and clay, its structure, and its organic matter content—dictates how readily water infiltrates, how much it can hold against the pull of gravity, and how quickly it can release water to plant roots. Processes like infiltration, percolation, and capillary rise describe water’s journey within the soil matrix, while evaporation from the soil surface represents a significant loss pathway. Crucially, the soil also serves as the medium for nutrient availability, with water acting as the solvent that transports these vital elements to the roots. The plant, in turn, is the primary biological conduit for water’s journey from the soil back to the atmosphere. It actively absorbs water through its roots, moving it upward through the xylem to the leaves, where it is transpired through tiny pores called stomata. This transpiration process is not merely a loss; it’s the driving force behind the plant’s physiological engine, facilitating

Crop yields and agricultural sustainability are inextricably linked to weather patterns. While optimal weather conditions facilitate robust growth and abundant harvests, extreme weather events pose significant threats, disrupting food systems and impacting livelihoods globally. The chapter, “Effect of Extreme Weather Conditions on Crops,” delves into the multifaceted ways in which deviations from ideal climatic norms compromise agricultural productivity. The Earth’s climate is characterized by increasing variability and the rising frequency and intensity of extreme weather phenomena. These include, but are not limited to, prolonged droughts, severe floods, heat waves, cold snaps, hailstorms, and unseasonal strong winds .Such events can occur suddenly or develop gradually over extended periods, each presenting unique challenges to different crop types at various stages of their life cycle. For instance, a sudden hailstorm can physically destroy crops, while a long-term drought can stunt growth, reduce yield quality, or lead to

Introduction

It is a well known fact that agricultural pests cause substantial crop losses throughout the world. In the past farmers had to manage this problem to secure their basic subsistence needs, and as a response, the farmers practiced and developed cultural and mechanical pest control based on trial and error. Over a period of time, these practices have become a part of their production management system. The first known chemical control dates back to 2,500 years. From the late 1800s to 1940s, the main insecticidal compounds used were oils, soaps and resins, plant-derived poisons and inorganic compounds. The chemical age began in the 1940s with the discovery of dichloro diphenyl trichloroethane (insecticide), ferbam (fungicide), and 2, 4-D (herbicide) (Arneson and Losey, 1997). In 1940s and 1950s, pesticides were thought to be the final word in pest control and their introduction contributed substantially to raising agricultural productivity in many regions of the world. Since then, pesticides have become an integral component of many intensive agricultural systems. Repeated applications of pesticides lead to resistance in the pest (Beaument, 1993). This resistance results in the increased application of pesticides and to the collapse of the agricultural systems characterized by highly resistant pests, with no natural enemies left to control them. Pesticides have been found to causeacute and chronic human health problems, contamination of groundwater, surface water, atmospheric contamination, and negative effects on non-target organisms (Mullen, 1995). Concerns about the negative effects of pesticides led to research and promotion of alternative pest control practices – Integrated Pest Control or simply IPC. This new concept called Integrated Pest Control (IPC) and later Integrated Pest Management (IPM) was stimulated by symposia organized by the Food and Agriculture Organization (FAO) of the United Nations in 1966. IPM made a paradigm shift in the philosophy of pest control, from pest eradication to pest management. Instead of single tactic control, emphasis was placed on the use of a combination of available tactics in a compatible manner aimed at providing cheap, long term sustainability with minimum of harmful side effect and controls the pest at ETL level.

4.1 Biomass Energy Resource

Among the various methods for producing electricity, biomass is one of the most common. This method uses animal waste, wood pellets, etc. to produce electricity. The use of biomass energy has proven beneficial over time and has the potential to be both reliable and consistent as an alternative energy source.

Organic matter is simply referred to as biomass. Or, to put it another way, biomass is anything living or ever living, including animal waste, crop waste, garden trash, etc. As a result, biomass renewable energy is the energy produced during the use of biomass. Biomass derives and stores its energy from the sun, which is absorbed by plants through a process known as photosynthesis. Plants contain chemical energy that is passed to animals and then eaten by people. Various plant and animal products, including sugarcane, corn crops, wood chips, and even dung, can be utilised. These substances, also referred to as feedstocks, are converted into a biomass fuel.

5.1 Waste Treatment and Disposal

Source reduction and feeding the hungry are significant considerations for decreasing avoidable food waste. However, non-edible wastes like livestock manure, agricultural wastes, and unusable food wastes are also classified as organic wastes. The environment and general public’s health may be seriously endangered by improper treatment of these wastes. Wastes can contaminate surface and ground waterways by runoff or leaching if they contain pathogens, chemicals, antibiotics, and nutrients. The breakdown of organic waste also results in the production of methane. As is well known, methane is a powerful greenhouse gas that captures more heat into the atmosphere than carbon dioxide. It is possible to remove organic waste and turn it into biogas, a sustainable energy source that can be utilised to reduce greenhouse gas emissions and the likelihood of stream pollution. Further emission reductions are made possible by replacing fossil fuels with biogas, sometimes leading to carbon-negative systems.

Abstract

The softer rock types belonging to Tertiary period, intense deformation and the related more frequent tectonic weak planes, high degree of weathering and extensive road cutting are the inherent systems in provoking Landslides in Noney-Nungba segment of NH-53 in the state of Manipur. So Landslide Hazard Zonation mapping was carried out in this segment using BIS method and also geotechnical investigations were carried out in Awang Khull part-II slide and Raungdai slide and on the basis of type of failure and the morphotectonic conditions mitigation strategies were suggested.

Introduction

Homegardens are traditional agricultural systems, particularly common in the tropics characterized by a high plant diversity (Kumar and Nair 2004, 2006; Scales and Marsden 2008; Galluzzi et al. 2010), maintain high level of productivity, stability, sustainability and equitability (Soemarwoto and Conway 1992), serve as a refuge for wildlife (Perfecto and Vandermeer 2008), contributing significantly to the household diet by producing a large variety of food commodities (Kumar and Nair 2004; Wiersum 2006; Pulido et al. 2008; Kortright and Wakefield 2011; Kumar 2017; Kumar and Tripathi 2017), nutritional supplies (Mendez et al. 2001; Perrault and Coomes 2008; Vlkova et al. 2010; Balooni et al. 2014), supplementary cash income for owner (Huai et al. 2011; Arifin et al. 2012; Yang et al. 2014) and important spaces for transmission of cultural heritage (Galluzzi et al. 2010). Many native or endangered species can be found in homegardens (Albuquerque et al. 2005; Akinnifesi et al. 2010; Milow et al. 2013), and they are niches for domesticating semi-wild species (Akinnifesi et al. 2010). Plants grown, intentionally or unintentionally, in homegardens are important for household subsistence and economy.

3.1 Introduction
Understanding the Earth’s atmosphere—its intricate dynamics, ever-changing weather patterns, and long-term climate trends—hinges critically on the quality and detail of the observations we collect. While remote sensing technologies offer broad perspectives from a distance, a fundamental and indispensable category of atmospheric data comes from in situ observations. The term “in situ,” meaning “in place” or “on-site,” precisely describes the nature of these measurements: they are direct, physical readings taken within the atmospheric volume itself.
These direct observations are the bedrock of meteorological science. They provide the ground truth for atmospheric conditions, offering unparalleled precision in measuring parameters such as temperature, humidity, atmospheric pressure, wind speed and direction, and the characteristics of precipitation. Unlike indirect sensing, in situ methods involve instruments physically interacting with the air, yielding highly accurate and localized data points. This granular detail is crucial for a multitude of applications: it allows for the precise calibration of remote sensing instruments, provides essential validation for complex numerical weather prediction models, and enables scientists to dissect and understand fine-scale atmospheric processes that influence local weather.

The State of Karnataka is located between 11.50° to 18.50° N latitudes and 74.25° to 78.50° E longitudes and covers an area of 19.1 m ha which accounts for 5.8 percent of the total geographical area (TGA) of the country. Out of the total 19.1 m Ha in Karnataka the net cultivated area (2010-11) was 10.5 M Ha, net irrigated area 3.49 m Ha and net rainfed cultivated area 7.01 m ha. Karnataka has the largest area under rain-fed agriculture (Fig. 8.1). Nearly 55% of total food grain production and 74% of oilseeds production come from rainfed agriculture in Karnataka. Therefore rain-fed agriculture plays an important role in total food grain production in the state. Further the rain-fed agriculture has substantial untapped potential, which can be brought to use by increasing the crop yields in the dry land areas through the adoption of proper dry-land production technologies. The climate of the state is determined mainly by the geographical location with respect to the Sea, monsoon winds and physiography.

Key words : Participatory GIS (P-GIS), Geo-Participatory Rural Appraisal (Geo-PRA) Social Mapping, Resource Mapping, Seasonality Maps, DGPS.

Participatory GIS

Geographical information System (GIS0 and Geographics Information Technologies (GITS) are no more restricted to the elite group of the society. Planners are busy in searching ways in merging community participation with GIS in the context of urban planning, environment equity, sustainable development etc. (Aitken and Michael, 1995, Craig and Ehwood, 1998; Talen, 2000 and Sieber, 2000). In all the cases, common thing is the linking of community participation and GIS in a diversity of social and environmental contexts. Through development, demonstration and modification of methodologies by academics and practitioners the concept of Participatory GIS (P-GIS) emerges. It is an outcome of a spontaneous fusion of participatory forms of development planning with modern information technologies. Experts gave considerable thoughts on the probing questions like whether a bottom up GIS could be successfully developed, how many community participation could be incorporated into GIS and to what context such participation would serve only to legitimize conventional top-down decision making. From these reflections only the concept of people’s participation GIS arose.

1. Introduction
Dyes are compounds after addition to a substrate, for a moment give it a colorthrough a process that modifies the colored substance’s crystal structure (Bafanaet al., 2011). Such varieties of compounds with significant coloring capacityare widely employed in the textile, pharmaceutical, food, photographic, andpaper industries (Zollinger et al., 1987). Dyes can adhere to suitable surfacesthrough methods such as dissolving, forming covalent bonds, complexing withsalts or metals, physically adsorbing, or being mechanically retained (Kirkand Othmer, 2004). The chemical structure and application of dyes determine
their classification. The dye color is produced by a collection of atoms calledchromophores. Chromophore centres, which are responsible for color, consistof various functional groups like azo, anthraquinone,methine, nitro, arylmethane, carbonyl, and others. Additionally, substituents that either donateor withdraw electrons to enhance or create the color of these chromophoresare called auxochromes. Common examples of auxochromes include amine,carboxyl, sulfonate, and hydroxyl groups. There are three methods for dyingtextile materials: batch, continuous, and semi-continuous. Thekind of materialincluding yarn, fabric, fiber, clothing, and fabric structure as well as the generalfiber size of the dye lot, type, and quality standards of the dyed fabric, all playa role in determining the dyeing method used. Among these techniques, theprocess called the batch procedure is the most frequently employed for dyeingtextile materials. (Ogugbue et al., 2011).

Applications of Remote Sensing

The era of satellite remote sensing was open in the 1960s when cameras and electronic sensors were mounted on spacecraft. Nowadays there is a big assortment of satellite systems actively recording information about the Earth. A wide variety of imagery is available from satellites. Both active and passive sensors, operating from the microwave to the ultraviolet regions of the electromagnetic spectrum collect a large amount of information about the earth’s surface every day. Each of the systems vary in terms of their spatial, spectral, radiometic and temporal resolution. Those characteristics play an important role in defining which applications the sensor is best suited for. The main benefits of satellite remote sensing are the following:

Data pre-processing is a crucial step in data analysis and machine learning that involves preparing raw data for further processing and analysis. Proper preprocessing helps in improving the quality of the data, which in turn enhances the performance of machine learning models. Smoothening VIS-NIR spectra enhances signal quality by reducing noise, crucial for better spectral data interpretation. Key methods include Savitzky-Golay and moving average filters, wavelet transform (WT), and frational derivatives.
Savitzky-Golay Filter: The Savitzky-Golay filter is widely used for smoothing spectral data. It preserves the original shape and features of the signal better than simple averaging filters.Savitzky-Golay Filter fits low-degree polynomials to successive subsets of data points using linear least squares, effectively preserving the signal’s original shape and features, making it ideal for spectroscopy. Moving Average:Moving Average is a simple method that reduces random noise by averaging neighboring data points. While effective, it can sometimes blur sharp features.
Wavelet Transform: Wavelet transform is effective for denoising spectral data, especially when dealing with non-stationary signals.Wavelet Transform (WT) decomposes spectral data into multiple scales, providing both time and frequency information. It is particularly useful for identifying features like peaks and trends. WT includes Continuous Wavelet Transform (CWT), Discrete Wavelet Transform (DWT), and Maximal Overlap Discrete Wavelet Transform (MODWT). Fourier Transform Filtering: Fourier transform can be used to remove highfrequency noise components from the spectra.
Median Filter: Median filtering is useful for removing outliers and preserving edges in the spectral data.
Fractional derivative:Fractional derivative generalizes traditional derivatives to non-integer (fractional) orders, allowing for arbitrary order derivatives. This provides a flexible, nuanced approach to modeling and analyzing complex, nonlinear, or memory-dependent behaviors.

2.1 Introduction 
The world is encountering a severe power and environmental crisis. Adopting sustainable progress is the best means to protect our environment and maximise the use of available resources. The urgent issues, encompassing diverse types of pollution and carbon emissions, highlight the necessity to shift towards renewable energy sources. This shift is essential for diminishing our dependence on fossil fuels, addressing the on-going challenges regarding climate change, and confronting the exhaustion of current energy reserves. Furthermore, mitigating water pollution is an essential component of ensuring ecological sustainability [1,2]. Water supplies are rapidly being contaminated due to diverse contaminants including heavy metals, and harmful chemicals. While industrialization is critical for societal growth, it is critical to recognise the negative environmental consequences caused by numerous processes that emit hazardous substances. Improper disposal of untreated wastewater can negatively impact ecology and biodiversity [3]. As a result, it is critical to use environmentally friendly and sustainable treatment methods that adhere to green development principles. This will bolster industrialization efforts while upholding water pollution safeguards for recovery and reuse. Given the prevailing energy crisis, traditional wastewater treatment facilities have become financially unsustainable due to their high energy consumption. Traditional wastewater treatment is both costly and demands substantial energy resources. Furthermore, these approaches fall short of efficiently eradicating recalcitrant organic waste, heavy metals, and other persistent contaminants. Moreover, many of these treatment processes require regeneration. Microbial fuel cell (MFC) technology has emerged as an ecofriendly treatment option capable of effectively eliminating stubborn organic pollutants and heavy metals over the long term. Microbial fuel cells are chosen over other current treatment methods because to their reduced energy needs and lower chemical usage [4,5]. In addition to lowering energy usage, MFCs possess the ability to produce ample bioenergy, which can help alleviate the energy shortage. This provides a cleaner alternative for generating renewable energy in favour of sustainable development and environmental protection as depicted in Figure 2.1.

10.1. Introduction

Irrigation facilities are created by the Government at huge cost for supplying water to the farmers for raising crops to increase agricultural production. The major and medium irrigation projects are planned, constructed, managed, operated and maintained by the Irrigation Departments, wherein certain procedures and rules are evolved and followed to the delivery schedule of canals, frequency of supply and distribution of water to the farmers, and closing of canals. The creation of such facilities resulted in ushering the green revolution in the sixties and seventies in the production of food grains and also employment generation in the country, thereby improving the socio-economic condition of Indian farmers. However, optimized management of irrigation water is the key to the sustainable development of agriculture and livestock. Since management of water for irrigation is highly location-specific, depending upon agro-ecological and socio-economic conditions, type of irrigation project and land use pattern, it differs from project to project and region to region in the country.

Introduction 
Augmented energy demand as well as impacts of employment of fossil coals on human health and environment, stresses and imposes the need to lessen the use of conventional fuels or replace them. Equally, global warming has stretched to a distressing level due to many diverse anthropogenic actions leading to increased pollution. The alternate energy sources are desirable that might be the conspicuous and sustainable approach of enabling environmental remediation, besides meeting the global energy call (Grosser et al 2016, Kanchanasutha et al 2016). A potential solution is generation of Biofuels, either conventional biofuels produced from agricultural crops or advanced biofuels produced from wastes, inedible crops or forestry products (Sreedevi Sarsan et al 2021). Advanced biofuels production especially by the utilization of agricultural and animal wastes using new technologies and processes are gaining increased interest among researchers and general public all over the world. Food waste, municipal trash, animal waste and other wastes can all be utilised as feedstocks to create biogas, a clean and sustainable energy source and thus may be the ideal replacement for traditional energy sources. The raw biomass may be converted into fuel products like biogas by briquetting, gasification, and anaerobic digestion, among other processes (Deepanraj et al 2015). In comparison to landfills, incinerations, and composting processes, anaerobic digestion (AD) is suggested as an inexpensive and environmentally benign technique for the generation of renewable energy (Van Forest et al 2012; Nishio et al 2007; Capson-Tojo et al 2016; Xu, F et al 2018; Cha, M et al 2020). The production of energy-rich biogas and alleviation of issues related to the removal of organic waste are all achieved by anaerobic digestion (AD) of organic solids (Sonakya et al 2001). This is since AD is a highly energy-efficient and ecologically benign technique. In an atmosphere devoid of oxygen, the AD system uses anaerobic microbes to transform the naturally occurring substances in the biomass into biogas. The primary byproduct of AD, biogas, has a methane content of roughly 50-70% by volume and 30- 40% atmospheric carbon dioxide (CO2) when feedstocks are digested under anaerobic circumstances, with small levels of hydrogen sulphide (H2S) (0.1-3% v/v), humidity, and other trace pollutants also present (Sahota et al. 2018). The generation of biogas is known to be influenced by factors such as waste types, pretreatment procedures, the microorganisms or enzymes added, operation circumstances and design of the digestors (Mao et al 2015).

Introduction 
Chapter 14 explores the intricate relationship between rural development and agricultural economics, emphasizing their roles in promoting sustainability and food security. This chapter examines various aspects of agricultural policy, agribusiness, farm management, rural entrepreneurship, and sociology, linking these elements to broader economic and environmental concerns. The chapter starts with an analysis of agricultural policy and development, discussing how policy frameworks shape agricultural practices and rural growth. It highlights the importance of effective policies in fostering agricultural innovation, improving productivity, and supporting rural development. Agribusiness and marketing are crucial components of agricultural economics. This section delves into agribusiness strategies and agricultural marketing practices that influence market access, value addition, and overall economic viability for farmers and agribusinesses. Farm management and financial analysis are essential for optimizing agricultural operations and ensuring financial sustainability. The chapter explores principles of farm management, including planning, decision-making, and risk management, along with techniques for financial analysis to evaluate the profitability and efficiency of farming enterprises. Rural entrepreneurship is highlighted as a key driver of economic development in rural areas. This section examines how entrepreneurial activities contribute to rural growth, job creation, and economic diversification, fostering resilience and innovation in rural communities. Rural sociology provides insights into the social dimensions of rural development. The chapter covers the importance of rural sociology in understanding social structures, behaviors, and dynamics within rural communities. It also discusses new concepts in rural sociology that address contemporary challenges and opportunities. The importance of rural development and agricultural economics in food security is emphasized. The chapter explains how these fields contribute to enhancing food security by improving agricultural practices, supporting rural livelihoods, and addressing food supply challenges.