eChapters

Research methodology is a way of explaining how a researcher intends to carry out their research. It’s a logical, systematic plan to resolve a research problem. A methodology details a researcher’s approach to the research to ensure reliable, valid results that address their aims and objectives. It encompasses what data they’re going to collect and where from, as well as how it’s being collected and analyzed. The deliberation on the methodology has been made to understand the concept, methods and techniques which are utilized to design the study, collection of information, analysis of data and interpretation of the f indings for the revelation of truths and formulation of theories. This chapter deals with the method and procedure used in the study and consists of eight main parts

• Locale of research

• Pilot study.

• Sampling Design.

• Empirical measurement of the Independent and Dependent variable

• Preparation of interview Schedule.

The deliberation on the methodology has been made to understand the concept, methods, and techniques which were utilized to design the study, collection of information, analysis of the data and interpretation of the findings for revelation of truths and formulation of theories. This chapter deals with the method and a procedure used in the study and consists of eight main parts-
• Locale of research
• Pilot study
• Sampling Design and Framework
• Empirical measurement of the variables
• Item analysis and experts rating for devising scoring technique on dependent variables
• Preparation of interview Schedule
• Pre testing of Interview Schedule
• Techniques of Data collection
• Statistical Tools used for Analysis of Data
5.1. Locale of Research
The present research has been carried out at Kasthodanga, Mollabalia, Madhpur, Baksha, and Mitrapur villages of Kasthodanga gram panchayat in Haringhata block; Rautari, Ghetu Gachhi, Maniktala para, Tentul Baria, Maheswarpur from gram panchayat in Chakdaha block of Nadia district; Boinchigram, Goara, Chau bera, Uttarkhanda, Champahati villages of Bantika- Boinchi gram panchayat in Pandua Block; Dhopapara, Beleswar, Ichhapura, Tiornai, Baksagari from Dhopapara gram panchayat in Balagarh block of Hooghly district from the Alluvial zone of West Bengal. From the Terai zone of West Bengal, Elejanerkuthi, Kalabarighat, Hourgari, Ghughumari, Gokuler Kuthi, Hirar kuthi from Coochbehar- 1 block; Pundibari, Kalarayerkuthi, Sukhdhanerkuthi, Khagribari, Singimari Paschimpar, Basdaha Natibari, villages of Coochbehar- 2 block; Mirer Kuthi, Kismat Dasagram, Bara Shakdal, Kochabari, Bamanhat-ii, Durganagar, villages of Dinhata 2 block

5.1 Locale of Research

Based on the All-India assessment report regarding Climate Vulnerability Assessment for Adaptation Planning in India Using a Common Framework which identifies the most vulnerable states and districts in India with respect to current climate risk and the main drivers of vulnerability, the present study has been conducted in two relatively highly vulnerable states of India namely West Bengal (Vulnerability Indices:0.592) and Jharkhand (Vulnerability Indices: 0.674). It specifically comes under Agro-climatic zone III (Lower Gangetic plain region) and Agro-climatic zone VII (Eastern plateau and hilly region) respectively.

On the basis of Vulnerability Indices (Vis) different district of West Bengal classified into three categories i.e. relatively high vulnerability (0.59-0.69), moderate vulnerability (0.49 -0.59), and relatively low vulnerability (0.38- 0.49). Two districts, Malda (VIs:0.690) and Jalpaiguri (VIs:0.627) from highly vulnerable and three district Murshidabad (VIs:0.524), Dakshin Dinajpur (VIs:0.523) and Burdwan (VIs:0.497) from moderate vulnerable category were selected purposively for the present study. For satisfying the purposes three agroclimatic zones of the West Bengal, viz. Terai Zone (Jalpaigudi), Old Alluvial Zone (Murshidabad and Dakshin Dinajpur) and New Alluvial Zone (Burdwan) districts were taken into account for the assessment. Twenty respondents of two Villages from each Block i.e., Alipurduar-I of Jalpaigudi, Hilli and Gangarampur of Dakshin Dinajpur, Old Malda of Murshidabad and Barabani of East Burdwan were purposively picked for the research study.

The research setting is an important component of the research methodology. Research setting refers to the detailed information of an area where the study was conducted. The research setting can be seen as the physical, social, and cultural site in which the researcher conducts the study. In qualitative research, the participants are observed in their natural environments with a primary focus on meaning-making. The study area generally consists of a particular geographical area viz. a state, district, block, or gram panchayat area selected according to the benefit of the investigator who possesses adequate knowledge regarding the location, communication facility, the period of study, the availability of resources, etc. of the locality so that he can easily approach every corner of the area for data collection. Additionally, to comprehend people’s knowledge, attitudes, and behaviour more easily, investigators must have a fundamental understanding of their socio-demographic backgrounds. It is the environment within which studies are run that has important consequences for experimental design, the type of data that can be collected and the interpretation of results.

4. Research Setting
Research setting presents the set of an ecosystem, here social-ecological systems, where the variables and characters are created, evolved, characterized and interact with others. Research setting is not a stale or lentic ecosystem rather it is agile, evolving and dynamic, so in this present work, we have perceived research setting as the performing social-ecology which sustains and keeps constantly characterizing the behaviour and dynamics of the variables under study, e.g. a settlement in close proximity to natural water body is expected to have interaction with ethiophonal diversity and performing economy therewith similarly, another set of respondents with the same set of variables but living in a forest ecosystem. The interaction and exposition of the variables will follow a different expression and pathway. So, while we will go for modelling, with the same set of variables but in different ecological set up, it is expected that the nature of interaction and expression will follow the unique characters of the concerned ecosystem.
4.1. Area of Study
The area of investigation of this study is situated in the state of West Bengal located in the eastern part of India. The state of West Bengal in eastern India has unique social and ecological backgrounds which influence the living standard and behavioural patterns of the people in many ways. The present research design has accommodated two agro- ecological set ups in West Bengal, India, and these are New Alluvial and Terai zone.

In any social science research, it is hardly possible to conceptualize and perceive the data and interpret the data more accurately until and unless a clear understanding of the characteristics in the area and attitude or the behavior of people is at commend of the interpreter who intends to unveil an understanding of the implication and behavioral complexes of the individual who live in the area under reference and form a representative part of the larger community. The socio-demographic background of the local people in a rural setting has been critically administered in this section. A research setting is a surrounding in which input and elements of research are contextually imbibed, interactive and mutually contributive to the system performance. Research setting is immensely important in the sense because it is characterizing and influencing the interplays of different factors and components. Besides the investigators must also have the basic knowledge about the socio demographic background of the people so as to have an easy understanding of their knowledge, attitude and behavior.

Research setting refers to the detail information of an area where the study has been conducted. The study area, generally comprises of a particular geographical area viz. a state, district, block, or gram panchayat area selected according to the convenience of the investigator who possess adequate knowledge regarding the location, communication facility etc. of the locality so that he/she can easily approach each and every corner of the area for data collection. Here. in this study the data collection was done mostly over telephone based on the interview schedule due to Covid-19 pandemic situation.

4.1 Research Setting

In any social science research, it is hardly possible to conceptualize and perceive the data and interpret the data more accurately until and unless a clear understanding of the characteristics in the area and attitude or the behavior of people is at commend of the interpreter who intends to unveil an understanding of the implication and behavioral complexes of the individual who live in the area under reference and form a representative part of the larger community. The socio-demographic background of the local people in a rural setting has been critically administered in this section. A research setting is a surrounding in which input and elements of research are contextually imbibed, interactive and mutually contributive to the system performance. Research setting is immensely important in the sense because it is characterizing and influencing the interplays of different factors and components.

A reservoir stores water behind a dam and can reduce downstream flooding by temporarily retaining part of the incoming flood volume. Its effectiveness depends on available storage, inflow characteristics, outlet capacity, operating rules, forecasting information, and the timing of releases. Reservoirs may also serve irrigation, municipal supply, hydropower, navigation, recreation, and environmental purposes, making their planning a multipurpose undertaking. This chapter introduces reservoir terminology, classifications, storage zones, capacity determination, site selection, sedimentation, and operating principles. It explains how flood-storage space modifies peak discharge and discusses reservoir routing, release regulation, design limitations, safety considerations, and the role of coordinated reservoir systems in basin-wide flood management.

Introduction
The lives of the local population are disrupted by large-scale projects such as dam construction, mining, highway construction, or the designation of a national park, and they are frequently forced to relocate to a new location. Relocating individuals is a significant challenge as it diminishes their capacity to survive solely on their customary natural resource base and intensifies psychological strain. 33 to 56 million people have been displaced by 54 projects in India over the past 50 years.
Resettlement and Rehabilitation of People
Major projects like dams, mines, expressways, and other industrialization-related projects, as well as some conservation strategies like the creation of national parks, can cause disruptions to people’s lives and force them to relocate to an alternate location. Relocating individuals from their birthplace is a grave concern as it diminishes their capacity to survive only on their customary natural resource base, so adding to their psychological strain. It is difficult for the displaced individuals to adjust to a new lifestyle in a new location. Due to the indirect effects of the Green Revolution—the building of thousands of dams since India’s independence—thousands of people havebeen displaced. These impoverished locals have essentially paid for the construction of the dams. Even if the government has set enough time to relocate these displaced individuals and offer them a sufficient package for rehabilitation, this rarely happens.

Abstract

Climate change and its various forms of variability are  a global phenomenon and are definitely a threat to our civilization. The change in climatic variables, being  uncertain in nature  has an impact on productivity of agriculture and other allied sectors thus producing a detrimental  effect on the fragile ecosystem prevailed in the North East India. Low or high atmospheric CO2  concentration, temperture fluctuations , rainfall and soil moisture variations, sunshine hours , soil temperature variability ,altogether considered as climatic complex could have impact on field crops, vegetables, fruit crops, animal and aquaculture productivity in a diversified way.Technological modalities in the domain of resilience in agriculture pertainining to natural resource management , crop production and livestock /fisheries  need to implemented in a holistic  manner so as to have institutional interventions to take the resilient measures in the doorstep of the farming community and such measures will be the  weapon for the people to face the challenges of climatic uncertaintity

Introduction

Resource Conserving Technology refers to any management approach or technology that increases factor productivity including land, labour, capital and inputs. The resource conserving technologies (RCTs) involving no or minimum tillage, direct seeding, bed planting and crop diversification with innovations in residues management are the possible alternatives to the conventional energy and input-intensive agriculture. The RCTs with innovations in residue management avoid straw burning, improve soil organic C, enhance input efficiency and have the potential to reduce GHGs emissions (Pathak et al., 2011). Conservation agriculture is one the effective Resource Conservation Technologies, which is based on three principles which are minimum soil disturbance, maintenance of permanent soil covers by the use of crop residues and cover crops and diverse plant associations which included crop rotations. Globally, Conservation Agriculture is being practiced in about 125 M ha area. USA with 26.5 M ha contributes to the major CA-practicing countries followed by Brazil (25.5 M ha), Argentina (25.5 M ha), Canada (13.5 M ha) and Australia (17.0 M ha). However, in the context of climate change to increase the production and productivity, India’s CA adoption is still in preliminary phases in area of 1.5 million ha with adoption of Zero Tillage (Jat et al., 2012, www.fao.org/ag/ca/6c.html). The major CA-based technologies being adopted is zero-tillage (ZT) wheat in the rice-wheat system of Indo-Gangetic Plains.

Abstract

A field experiment was conducted at Central Arid Zone Research Institute, Jodhpur to assess the effect of weed management practices on production, resource use efficiency and monetary benefit in cumin. The experimental field was predominantly infested with weed species such as Chenopodium murale, C. album, Asphodelus tenuifolius and Heliotropium oralifolium.

Introduction
Food is a basic human need that is necessary for survival. The three main sources of our food are fishing, farming, and animal husbandry. Modern agricultural practices are unsustainable and employ enormous amounts of pesticides and fertilizers, which pollute the environment. October 16th has been designated as World Food Day.
Global Food Issues
• The rate of food production is not keeping up with the increasing demand.
• There are significant differences in the accessibility of wholesome food. Malnutrition is still a major issue for several tribes, particularly for women and children.
• Our rich soils are being depleted more quickly than they can replenish themselves.
• The conversion of wetlands, meadows, and forests to agricultural usage has resulted in significant ecological issues.
• There is an indication of exhaustion in our upland and marine fish resources.

One of the most significant natural resources is water. The water cycle sustains hydrological systems, which give rise to rivers and lakes and a range of aquatic habitats, through evaporation and precipitation. Only 3% of the water on Earth is freshwater, although making up 70% of the planet’s surface. Just 1% of this is useable water found in rivers, lakes, and subsurface aquifers, while 2% of it is represented by polar ice caps. Approximately 25% of water is used for industry globally, 70% of it for agriculture, and only 5% for residential consumption. In India, 7% is used for industry, 90% is used for agriculture, and 3% is used for household use. World Water Day is on March 22nd.
There are five oceans on Earth. oceans: the Pacific, Indian, Atlantic, Arctic, and Southern. One of the main saltwater bodies in the hydrosphere is called an ocean. The average salinity of the ocean is around 35 parts per thousand (ppt), or 3.5%. A river is a naturally occurring waterway that is longer than 18 meters (60 feet), usually freshwater, that flows toward one or more rivers, lakes, seas, or oceans. A component of the hydrological cycle are rivers.
A steam is a current-filled body of water that is contained between the banks of a stream and a bed. Typically, the watercourse’s width is under eighteen meters. It reunites disparate environments. Creeks are tributaries of streams that join rivers or other streams but do not flow into the ocean.
A lake, derived from the Latin lacus, is an inland body of water that receives waterfrom a river and is deeper and larger than a pond.

Climate change produces long-term alterations in temperature, precipitation, wind and atmospheric carbon dioxide. Because insects are ectothermic organisms, these environmental changes strongly influence their physiology, ecology and behaviour. Rising temperatures can modify development, movement, feeding, mating, reproduction, diapause, migration and survival. Altered rainfall and extreme weather may affect habitat suitability, host availability and interactions with natural enemies. Climate-related behavioural changes can influence pest abundance, crop damage, geographical distribution and the timing of infestations. This chapter examines how insects respond behaviourally to changing environmental conditions and explains why understanding these responses is essential for forecasting pest outbreaks and developing effective climate-resilient crop-protection strategies.

In the earlier chapter the major soil vulnerability namely, water and wind erosion, depletion of soil organic matter, loss of plant nutrients, salinity, alkalinity, acidity, pollution and contamination, compaction, sealing, crusting, water-logging, aridity, landslide and abandoned mines were described. In this chapter two more parts, Importance of remote sensing (RS) and geographical information system (GIS) in soils and Watershed management are also included after seeing their importance in agriculture and soils. Restoration means that by various actions or processes to return something to its original owner, site, place, or condition. In this context our aim is to restore our mother soil from various vulnerabilities by different actions and processes to its natural and original condition up to the maximum possible extent. Management is defined as the scientific methods to attain targeted production through planning, organising, training and fixing targets for employees. Therefore, after the restoration, soils should be managed according to scientific method of action by scientifically selected and trained staff to perform the assigned responsibilities, effectively, efficiently and rapidly within stipulated period. On these guidelines restoration and management of vulnerabled soils is described here,

Abstract

In South India, tanks system is quiet ancient, meant for storing and supplying water towards multifunctional needs of the people. In Tamil Nadu, there are around 39,000 tanks with varying size and types. Over past few decades, irrigation rely on stable and reliable groundwater resources like dug and deep bore wells, consequently tanks lost their significance. Moreover, excessive siltation, improper maintenance and illegal encroachment further degraded the system. The deterioration factors are broadly categorised into problems in catchment, feeder channels and head works which eventually resulted in loss of storage capacity. The present study chiefly narrates an indirect method of estimating the loss in storage capacity of tanks and the catchment problem, especially soil erosion and its induced siltation of tanks in the downstream using geoinformatics technology. Using remotely sensed satellite data, by measuring surface area of tank loss in storage capacity was estimated through a linear model. Using Digital Elevation Model derived topographic wetness indices data, the catchment problem especially, soil erosion areas were identified and remedial measures were suggested. Under prevailing water crisis, it is essential to rehabilitate the tanks through which the surface water potential can be improved along with quality as well.

First Part: Multivariate Statistical Analysis
6.1. Results
The chapter deals with the result and discussion of the study using multivariate statistical analysis and participatory Rural Appraisal (PRA) techniques with the purpose to provide sufficient information so as to arrive at valid conclusion. Tables and models are commonly used in this chapter to support and supplement the textual materials. Discussion helps to interpret the results of the study in proper perspective and to relate them with other relevant studies.
Axiomatic statement on the variable interactions and behaviour selected for the study
Research setting in the present study presents a dynamic social-ecology which is evolving along and across the undulation of social process. Both the structural and functional dimensions and behaviour are in constant interaction and response with the subject respondents in terms of innumerable variables. For the present research only some selected characters have been selected for empirical titration. There is no wonder these variables can be catalogued in terms of dependent or independent variables rather should not be distributed in a binary mode. Rather these variables are with seamless transformations like the algorithm of quantum physics. That is how whenever a set of x variables are supposed to behave with a contributor characters the same can be responsive with a recipient behaviour, e.g. in stepwise regression, set of ‘x variables’ are not considered as the only source of causal variables along with the couple of ‘y variables’ which are promoting rest other y variables have also been considered as causal variables. Hence, in case of y1, the rest of the y variables have to be treated like: y2 = y2' ; y3' = y3; y4 = y4' and so on.

Introduction

The resource conservation technologies (RCTs) is primarily focussed on resource savings through minimal tillage, ensuring soil nutrients and moisture conservation through crop residues and growth of cover crops, and adoption of spatial and temporal crop sequencing. These practices have long been practised by the farmers in the Indo Gangetic Plains (IGP) but it got eroded in recent times due to various geo-socio economic- political reasons. This region (10.5 million ha) comprises of Punjab, Haryana, Uttar Pradesh, Himachal Pradesh, Bihar and West Bengal and have major share in production of rice and wheat due to adoption of green revolution technologies followed by area expansion. It has been reported that rice-wheat system has strained the natural resources of this region (Swarup and Singh, 1989; Kumar and Yadav, 1993; Lal et al., 2004). In present scenario there is little scope to meet future target by earlier approaches like area expansion and intensive use of natural resources. Therefore, RCTs can be regarded as energy, water and labour efficient system to sustain soil health and production environment and produce more at less cost (Jat et al., 2012; Gathala et al., 2011b).

Major emphasis is given upon the RCTs components like zero/reduced tillage, direct seeded rice, crop residue management and crop diversification. However, other RCTs like site specific nutrient management, leaf colour chart, laser land leveller, nutrient use efficient genotypes, integrated crop and pest management provide options to the farmers as per their resource endowment.

The chapter focuses on presenting the outcomes and analysis of the research, aiming to offer ample information for reaching accurate conclusions. Within this chapter, tables and models are frequently employed to reinforce the textual content. The discussion section plays a crucial role in interpreting the research results appropriately and establishing connections with other pertinent studies.

The distribution characteristics of the variable Age (x1 ) reveals that the respondents’ ages range from a minimum of 27 to a maximum of 71. The average age is 48.675, suggesting that the majority of respondents fall into the middle-age category. The standard deviation is 11.574, indicating the degree of variability in the ages. Furthermore, the coefficient of variance (CV) is 23.779 percent, indicating a high level of consistency in the distribution pattern of the variable.

The distribution pattern of the variable Family size (x3 ) shows that the family size ranges from a minimum person of 3 to a maximum of 10 persons. The average family size is 10.125 persons. The standard deviation is 1.397. The coefficient of variance (CV) is 23.882 percent which indicates a high level of consistency in the distribution pattern of the variable.