eChapters

Bacillus thuringiensis (Bt): Soil-inhabiting bacterium that produces an insecticide effective against larval stages of many species of Lepidoptera, although some strains are effective against various beetle, mosquito, and blackfly larvae.

Backcross: A cross between a hybrid and one of its parents; a cross between a heterozygote and a homozygote (cf. Hybridization, Heterozygous, Homozygous).

Bacterial insecticide: Bacteria pathogenic to insects (e.g., Bt or B. popilliae). Applied using application techniques also used for chemical pesticides.

Bacterium (pl. bacteria): Microscopic, prokaryotic, single-celled organisms having cell walls but lacking membrane-bound organelles. Important in decomposition, nitrogen fixation and other symbiosis, and as pathogens. A significant component of soil food webs.

Bait (B): A pesticide formulation that combines an edible or attractive substance with a small amount of toxic active ingredient (usually about 5%). Baits containing poisonous chemical and food stuffs are primarily offered to pests as food for control of animal pests like mollusks, cutworms, and rodents.

“Age and Area”: The hypothesis (by Willis) that the older a species is, the wider will be its geographical distribution.

A-Without; lacking.

A.I.: See active ingredient.

A.O.U. Code: A code of nomenclature published in 1885 (revised 1908) by the American Ornithologists’ Union for the standardization of bird nomenclature.

Ab-Away from; off.

Introduction

Famous French postmodern philosopher Jean Baudrillard commented on information once. “Information can tell us everything. It has all the answers. But they are answers to questions we have not asked, and which doubtless don’t even arise.” This seemingly paradox observation fits contemporary Internet age perfectly. Internet is a vast repository of information of all kinds and is bursting on its seams. The seeker needs to search with monumental grit and determination to have a full handle on the range of information available for any particular search. A search string for GIS returns more than 1185000 results, in a mere 0.26 seconds. Recommending a comprehensive resource list is not possible as new material gets continually added by way of additions and updates. However for a beginner the list given below will be handy. The flip side is GIS has innumerable resources and a broad range of content. Software vendors, organizations, individuals, universities and companies have provided a wealth of information. The readers are exhorted to make use of the materials to improve their understanding of the subject.

Introduction

The term geographic information systems (GIS) has come to mean, variously, an industry, a product, a technology, and a science. As such, the term invokes different perceptions dependent on whether the viewpoint is that of the software developer, the system marketer, the data provider, the application specialist, or the academic researcher, among others. A newcomer to the field is likely to be bewildered by the multiple uses of the same term, or, seen alternatively, different definitions of the same term. For instance some find it distasteful to use of the conventional acronym GIS and prefer Geospatial Technology. With all the variety of perceptions predicting the future of GIS is a cumbersome business. The most certain inference we can gain from the available trends is, it is growing and is poised for further growth. Geotechnology along with Nanotechnology and Biotechnology is considered as of the three most promising growth industries for the near future.

Topology building

Boolean operations

Query and model building

Customization

Introduction

At human scales, the world consists of objects, events, processes, and a background environment. Cognition is about knowledge: its acquisition, storage and retrieval, manipulation, and use by humans and other intelligent creatures. Cognition includes sensation and perception, thinking, imagery, reasoning and problem-solving, memory, learning, and language. Cognitive structures and process are part of the mind, which emerges from a brain and nervous system inside of a body that exists in a social and physical world. Spatial cognition deals with the cognition of spatial properties of the world, including location, size, distance, direction, shape, pattern, movement, and inter-object relations. GIS design will be largely influenced by spatial cognition.

Introduction

The GIS database is a model of real world. It goes without saying that there is an inherent discrepancy between GIS database and the real world it represents. This is so because all models are fraught with cognitive issues and remain as approximations. To realize the objectives of a GIS, geographical data collected, entered and processed are to be sufficiently error free and reliable.

Errors can be statistical errors like mistakes, wrong inputs or faulty field surveys or system errors like excessive tolerances or high RMS error. The spatial database has further problems in the sense that the real world phenomena are not always intrinsically discrete. For instance where is the bank of a shallow river? Where is the boundary between two soil types? These are but a few questions revealing the fuzzy nature of geographic data. Many soil scientists, geographers have noticed that carefully drawn boundaries or iso-lines on maps in general give misrepresentations of change that are often gradual, vague or fuzzy. Traditional cartography as a medium of spatial data handling had a solution to such problems. But now when digital data are handled, they need to be stored with certain precision. Moreover, the spatial variation of natural phenomena is not just a local noise function or inaccuracy that can be removed by collecting more data or by increasing the precision measurement but is often a fundamental aspect of nature that occurs at all scales. (Goodchild, 1980; Mark and Aronson, 1984). This means residual unmapped variation is a remarkable problem in geographical information processing. It is therefore a prerequisite to fully understand how errors arise or propagated in GIS and what might be the effects of errors on output.

Introduction

Data input or capture is the operation of encoding the data and incorporating in the database. The creation of a clean error free digital database is a complex and critical task determining the very usefulness of a GIS. GIS data represent not only where the graphic or cartographic features occur, but also the associated attributes of them.

Data input to a geographical information system involves

(a) Entering the spatial data (digitizing);

(b) Entering the non-spatial, associated attributes and

(c) Linking the spatial to the non-spatial data.

At each stage necessary verification and checking procedures shall be deployed to ensure an error free database.

Introduction

The concept of database is the approach to information organization in computer-based data processing. (Date, 1995 and Everest, 1986).

A Geographic Information System is as good as the data contained in it. Accurate and efficiently organized data are critical to the durability of the system. Data collection, capture and organization will occupy much of the time in building a GIS solution. The analysis potential of a GIS will depend on the database. It is essential to understand database concepts to practice GIS. It is erroneous to view these GIS databases as mere stores of information. The database is used to abstract very specific sorts of information about reality and organize it in a way that will prove useful during subsequent analysis. The database should be viewed as a representation or model of the world developed for a very specific application.

Conversion of real world geographical variation into discrete objects is done through data models. They represent the linkage between the real world domain of geographic data and computer representation of these features. Data models discussed here are for representing the spatial information.

Introduction

Data are the most critical element of a GIS. It is reported that more than two thirds of the time and expenditure to develop a GIS is spent on data collection and organization. Understanding and appreciating the criticality of data is of paramount significance to practice GIS. This chapter is complementary to database concepts chapter discussed in Level II and deals with the fundamentals to start with and the concepts of building an information organization.

Data - A Definition and Certain Points to Ponder

“Data” are defined as a body of facts or figures, which have been gathered systematically for one or more specific purposes.”

Introduction

All spatial data stored in a GIS are associated with a map projection, either implicitly (so-called “unprojected” data stored with raw longitude, latitude coordinates) or explicitly (where the data have been transformed into a known map projection). Map projections are a particularly important feature of spatial data because they introduce error and distortion, since a sphere cannot be transformed to a plane without some stretching and twisting of the sphere’s surface.

The typical GIS package supports anywhere from 5 to 50 map projection types, and most projections may be modified or customized by varying their parameters. This flexibility is important for two reasons First, in order to use two or more layers together in a GIS for visualization or analysis, all data must be projected in the same way. Second, certain types of analyses, such as the measurement of area, are only valid when using certain types of projections (and conversely, are completely wrong when using an inappropriate projection).

Introduction

In a technology that consistently maintains a fantastic development curve with capabilities doubling up year-to-year, freezing the hardware specification is not easy or very meaningful. GIS (not geography) owes to its genesis and progress to the developments in information technology front. It may be asserted that any and all upgrade in the hardware industry will only add to its own ability to effectively process more and more data and handle more complex routines. The personal computers of today are seen to be adequate to run typical GIS software. A reference hardware specification is discussed here. GIS software development is an involved process but then the software developers have made good use of hardware capabilities available and have released upgrades consistently. Hardware developments are such that they defy a static spcification. However a reference specification as on 2009. An overview of various software packages used in the past as well as present is attempted. ESRI released a new version in 2002 and claimed that their ArcGIS is an “integrated collection of GIS software products for building a complete GIS that enable users to deploy GIS functionality wherever it is needed, in desktops, servers, or custom applications; over the Web; or in the field.” The details are discussed below. While a number of software overviews are available, this text is not aimed at providing a tutorial to any of the software packages nor do the comparisons made are to promote any particular software. Similarly, it is presumed that the reader is familiar with the hardware elements and functionality. Lot of information about the software packages are available on their respective web sites and the reader is exhorted to look for current, additional and in depth information required in the pages. A brief discussion on Liveware or human resource can be found at the end of the chapter.

Introduction

A system is a simplified version of reality and is defined as a collection of interrelated parts that work together. Most systems share certain common characteristics. These common characteristics include the following:
Systems have a structure that is defined by its parts and processes. Systems are generalizations of reality.
Systems tend to function in the same way as nature. This involves inputs getting changed in a process and realization of new outputs.
The various parts of a system have functional as well as structural relationships between each other.
Owing to the functional relationships that exist between the parts there is a flow and transfer of some type of energy and/or matter. In case of information systems there is a flow of information in the structure.
The parts that make up a system show certain degree of integration. In other words the parts work well together.

Since time immemorial, women have played and continued to play a key role in conservation of basic life support system, such as, land, water, flora and fauna. Women power at present constitutes nearly half of the global population and account one third of the total work force. They contribute more than half of duties and responsibilities but are not given proper rights. In India till now rural women continue to struggle with dual responsibilities of economic production and domestic labour, and most are confronted by poverty, illiteracy, high health risks, inadequate access to productive resources, and lack of credit/market access. The empowerment and autonomy of women and the improvement of women’s social, political, legal and economic status is essential for sustainable rural development

Both women and men play critical roles in agriculture throughout the world, producing, processing and providing the food we eat. Rural women in particular are responsible for half of the world’s food production and produce between 60 and 80 percent of the food in most developing countries. Yet, despite their contribution to global food security, women farmers are frequently underestimated and overlooked in development strategies.

Rural women are the main producers of the world’s staple crops – rice, wheat, maize – which provide up to 120 percent of the rural poor’s food intake. Women sow, weed, apply fertilizer and pesticides, harvest and thresh the crops. In the livestock sector, women feed and milk animals, while raising poultry and small animals such as sheep, goat, etc. Also, once the harvest is in, rural women provide most of the labour for post-harvest activities, taking responsibility for storage, handling, processing and marketing.

1. Feminization of Agriculture

Almost all active women in rural India can be considered as ‘farmers’, in some sense – working as agricultural labourer, unpaid workers in the family farm enterprise, or combination of the two. Moreover, several farm activities traditionally carried out by men are also being undertaken by women as men are pulled away into higher paying employment. Thus rural India is witnessing a process which could be described as ‘feminization of agriculture’. The significantly high and growing population of female headed households has also highlighted women’s contribution to agriculture.

The interventions for women empowerment was perhaps started intensively since fourth plan period. Subsequently many more initiatives are taken for the total all round development of women in this country.

A. 4^TH FIVE YEAR PLAN (1969-1974)

Farmers Training and Education Programme

It was for the first time in the 4^th Five Year Plan that an effort was made by Ministry of Agriculture to address the training and extension needs of women farmers with new and improved technology through “Farmers Training and Education Programme”, in which a network of 150 Farmers Training Centers were established to close the visible gap between the recommended package of practices and the farm women’s knowledge and skills about them. In this programme, a linkage of the supply of production inputs with improved technical training, supported by Farm Radio Broadcast and Functional Literacy was provided. The unique feature of this programme was that for the first time, a cognizance of women’s participation in agriculture was taken. The experience of the programme had shown that the states which gave due importance to this programme, especially in terms of curriculum planning and syllabus formulation (based on true status and needs of women farmers), achieved very good results. It was, this programme, which focused many issues that had to be categorically considered while planning and implementing agriculture support programmes for women farmers.

Women are the backbone of rural economy. They play a significant role in domestic and socio-economic life of the society. National development is not possible without developing this important and substantial segment of any society. To achieve anything, women are obliged to surmount host of obstacles. The difficulty in gaining access to land, credit and agricultural inputs hampers their potential as producers who feed the world. Barriers of tradition and discrimination have limited their access towards technology, training and education. Moreover, the extension approaches and strategies usually followed for transfer of technology to women are not keeping match with their specific needs and problems. The World Food Summit convened by FAO in 1996 drew up a plan of action to address the major impediments to universal food security. It also called for the full and equal participation of both the genders so as to ensure gender equality and empowerment of women.

Though India is one of the major fish producing countries in the world, it has no history regarding technical and academic training in fisheries. India has to tackle simultaneously the long range problem of establishing a regular fisheries educational system as one of its fisheries policies for ensuring a reserve of large number trained persons. The short range problem of providing specialized training to the large number of in service personal, who were not basically qualified in all aspect of fisheries had been planned. Therefore, the government of India and the state Governments had put in considerable effort to solve problem of shortage of technical person as by organizing a number of fisheries training institutions in the country at different levels. A few universities are also providing training in fisheries leading to degrees in fisheries.

The following are the main fisheries training institutions which are giving special training in fisheries in India:

The concept of Exclusive Economic Zone, popularly called as EEZ was born out of a conflict on fishing rights among coastal nations. Some nations found their waters being exploited by foreign countries equipped with better and more powerful fishing gear and craft more sophisticated navigational and fish detection systems than their own. In 1950 several such nations unilaterally established fishing limits in their coastal waters for exclusive fishing. In the beginning the limit was just twelve mile. Again in 1970 some more countries are added and then they unilaterally accepted the limit of 200 nautical miles.

The United Nations General Assembly convened during 1974-1982 conferences on the Third law of the sea. The United Nations convention on the law of the sea (UNCLOS) was the outcum of the deliberations after it was ratified by as many as 60 countries in 1994. According to the UNCLOS each coastal country shall have an EEZ of 200 nautical mile zone around the share with exclusive right to exploitation of marine resources. The UNCLOS also imposed certain responsibilities on them. Each Country shall have a duty to properly manage its resources. The resources not being fully tapped by a country other countries shall legally have the right to exploit such waters by use of trawlers. It was also stated that beyond the EEZ, the fisheries of the high seas shall be regulated by the Regional Fisheries Organizations. Thus straddling fish and migratory fish fisheries become the subject of not the coastal states but of the regional fisheries organizations. This agreement was reached in 1992 at the Rio-de-Janerio United Nations conference on Environment and Development (UNCED) which worked under the frame work of the UNCLOS. About 90% of the marine catch is taken in the EEZ many countries including India have yet to realize their full potential from their EEZ. A few countries have not accepted EEZ restriction like South Africa. A number of countries on other hand are almost optimally exploiting their EEZ such countries are New Zealand, Iceland and Canada. The EEZ is a common shared area among member countries of European common market (BCM)

The role of remote sensing in fishery science is one of the established fact. But today remote sensing is used generally everywhere. Success of fishing depends upon capacity for fish detection. Traditional methods like sighting, listening, smelling, locating phosphorescent patches, blue or yellow patches and oily patches in water are absolute now. Application of acoustic devices such as echo sounders, sonar’s started in 1930. Satellite remote sensing technologies have been applied recently since 1980.

In India acoustic fish finder was used in 1946. However its application has remained insignificant. No acoustic survey has been carried out either in the Arabian sea or in the Bay of Bengal. In the Indian Ocean some headway was made in 1977 and there in 1982.

Satellite remote sensing is restricted to the surface of the ocean at present. The Satellite cannot use its sensors to penetrate the column of water. The two important ocean parameters in remote sensing of fish stocks are the colour and surface temperature. Colour is used to assess and map chlorophyll productivity and through fish productivity. Temperature on the other hand helps locating thermal fronts and upwelling Zones. There by assessing nutrient abundance as well as fish abundance.

In the Indian waters, air craft remote sensing has been used for locating shoots of pelagic fish like oil sardines and mackerels in the Arabian sea using colour and bioluminescence only. The signals help distinguish shoals by species and estimate the weight of the schools. Ocean colour map also help in locating tuna schools, which prefer clear oceanic waters as against the turbid.