eChapters

Abstract

The objective of the study is to build a framework of Geo-spatial Information System for effective decision making by empowering all the stake holders with spatial and non-spatial data. The Interface of this information system is developed as a deployable windows application using Map Objects in Visual Basic programming language with MS Access database. The practical utility of the proposed information system was explained with a case study in Aquaculture. This geo-spatial information system provides required information through maps based on spatial and attribute quarries. These dynamic maps help in taking effective decisions.

1.0 Introduction

Computer based information systems proved to be very efficient and effective tools for managing data and information to aid in decision making . FAO (2000) proposed agricultural knowledge and information system for rural development (AKIS/RD) to link rural people and institutions to promote mutual learning and generate , share and utilize agricultural technology , knowledge and information. This serves as vehicle for sharing ideas and principles with various stake holders addressing the problems and seeking solutions to rural development. Although the rural development planning is top-down prescriptive approach , in reality the decisions are made by the stake holders based on their perspectives, knowledge and priorities. Problems particularly related to environmental impacts are location specific and contextual. Geo-spatial technologies may serve as better vehicle to store and share all kinds of location specific data and information. The state of mapping and management of geospatial data changed during the recent years with the diffusion of modern geospatial information technologies such as GIS(Geographic information system), GPS(Global positioning system) and image analytical system for remote sensing(RS) data. Adinarayana et al., (2008) proposed a geographical information and communication technology (Geo-ICT) based information system called Grama Vikas( rural development) to assist the user in analyzing the rural information for rural development, planning . During the recent years there is a paradigm shift in GIS applications for rural development particularly in developing countries, by way of integrating top-down approach with bottom-up approach by the stake holders who stand to be affected by the decisions based on these technologies. Emerging concepts include “ community - integrated GIS”, “GIS in participatory research” and ‘participatory GIS”. (Abbot et al., 1998)

Abstract

The social and economic development of any state is interlaced with the manner of its natural resource management. The unplanned use and overexploitation of resources are results in various kinds of land degradation, biomass deterioration and siltation of tanks. In addition, the low per capita availability of land, erratic and uneven distribution of rains, undulating topography, improper management, traditional cropping programmes and recurrence of droughts having cumulative effect leading to low productivity and high risk particularly in dryland farming. Further, developing dry land agriculture through sectoral approach did not bring in the desired results, as the efforts were not integrated. However, in nature all the resources are inter-linked and thus, the integrated developmental approach is the best solution for optimal development of any area. Further, development based on administrative units such as district, taluk, block and village have resulted in imbalance and sometimes, no overall development in some areas. Considering this, natural resources management through Geo- informatics tools like, remote sensing, GIS, GPS and other sensor based techniques are the possible ways for making agriculture sustainable. The paper mainly highlights theimportance of application of latest technologies in agriculture along with some field level case studies.

Keywords: Remote sensing, GIS, Watershed, CAPE, Precision agriculture

Abstract

A huge technical improvement in Information Technology (IT) has made new instruments (e.g. WEB-GIS, Open Source platforms, DBMS with geometric data) available. Distributing geospatial information on the Internet is an enforcing factor for information providers. For dissemination of spatial data, Web-GIS technology can be used, which is amalgamation of several information technologies. Open Source is a philosophy of providing software with better quality, more flexibility, and lower cost. This paper explains the use of Open Source Web-GIS which provides a fast and globally reachable way not only to represent the information about natural resources through maps and statistics but also possibility of processing the information interactively on web.

Keywords : Web-GIS, Open Source, PostgreSQL, PostGIS, GeoServer, Wetlands

1.0 Introduction

India is blessed with diverse and abundant resources. India has been witnessing tremendous growth which has impacted practically every aspect of environment and the common man. Natural resource has been tremendously in use due to increase in population growth, thus generation, dissemination and sharing of information regarding natural resources and data amongst all stake holders have become a necessity. The utilization of modern technologies such as remote sensing, GIS which are effective in management of natural resources as user can store, retrieve and model the spatial information. Web media is playing a vital role in making people aware about the importance and conservation of natural resources. We are presenting such efforts with use of Free and Open Source Software (FOSS) tools.

Abstract

Customized application development can deliver/fulfill the specialized and specific needs of the users as well as it provides user- friendly environment to the users. There have been applications developed in the past but now applications developed and coupled with the advantage of GIS technologies for various data-handling, spatial analyses and visualization under variable inputs and spatial scales is an innovative approach developed during recent years.The present work encompasses Spatial Agricultural Information and Decision Support System having five modules - Agro-socio-economic-information, Bio- Physical Information, Crop’s Information & Management, and Agriculture DSS Module. This system, developed in a GIS framework, allows managers and planners to rapidly assess land attributes and link these attributes with maps and related infrastructure. Hence, it can facilitate efficient use of existing resource information. The primary database of the software has a Database Update feature which can be utilized by the user using the software to integrate own data into the primary database of the software. With this integration, the software adapts to new data entered and will enable this data to be visualized in GIS platform. The software has been designed keeping in view the requirements of the departments like Department of Agriculture, Department of Land Records etc. In comparison with the commercial GIS applications, the commercial applications are not cost effective if the primary requirement is visualization enabling decision making and basic spatial analysis. The most features available on such software remain un-utilized or they cannot be used without having GIS knowledge. This application is suitable in such scenarios, providing a simple customizable platform for GIS visualization. This software application fits in and serves the line departments and in a way promoting the GIS in the mountainous terrain as it requires very basic or no GIS skill set to operate.

Abstract

Natural resources and agricultural production processes vary spatially. Capturing the spatial variations in data and knowledge of natural resources and production processes has been a major challenge for efficient and sustainable management of agricultural production systems. Geographical Information Systems (GIS) provide an effective platform for storing and mapping spatial data and modeling the relevant processes. Huge volumes of geospatial data on specific themes such as soils, water, climate, and other natural resources, are being collected by public and private agencies. However, currently it is difficult for most users to access the data and integrate them into a GIS platform to derive useful information and knowledge for specific applications. There is a need to create geospatial data and knowledge systems that can provide efficient, on-demand and remote access of spatial data to users to enable development of a variety of GIS applications for agricultural and natural resources management. The design of a prototype geospatial library to provide web-based access to geospatial data, services, and learning and knowledge resources that can support agricultural and natural resources management is presented. The design is scalable and sufficiently general to allow a range of agricultural and natural resources management applications across different spatial scales.

Keywords: Agriculture, GIS, Geospatial library, Knowledge Management, Natural Resources

Abstract

The weather or climate is a natural resource and is an important basic input in agricultural planning and strategies. Every plant process, related with growth, development and yield of a crop and each of inseason and off-season farm operations (according to World Meteorological Organization) is more than 10 per cent and can reach up to 50 per cent in smaller areas and not a surprise even if it reaches to 100 per cent on micro scale. Amongst the various weather elements, temperatures, radiation and rainfall play major role in deciding the crop growth and yield levels. Precipitation is one of the important weather factors being responsible for atmospheric and soil moisture and therefore has more agricultural importance, especially in rainfed agriculture.

Keywords: Remote sensing, weather, agroadvisory, GIS

1.0 Introduction

India receives more than 70 per cent of its annual rainfall during South West monsoon season. Indian summer monsoon rainfall shows large intra - seasonal and intra-annual variability (Parthasarathy, 1960; Alexander et al., 1978; Mooley and Parthasarathy, 1984) and also changes in space and time, intensity and distribution. Borgaonkar and Pant (2001) have reported that Indian monsoon rainfall has shown trend less nature since 17^th century based on proxy data with large inter-annual fluctuations. IPCC (2001) has reported increase in rainfall over tropical and higher latitudes and decrease in rainfall over subtropics and mid latitudes.

Abstract

Anantapur is the driest district of Andhra Pradesh and hence, agriculture conditions are very often precarious. Groundnut grows where other crops fail and thus it is the predominant crop of Anantapur district. Groundnut is grown in about 7.5 lakh ha in Anantapur district; however the average yields are low at 500 kg ha^-1. Among various available vegetation indices, normalised difference vegetation index (NDVI) is widely used for all reasons, which is a single numerical indicator of presence and condition of green vegetation. NDVI mapping at a regional scale helps to assess the spatial changes in the vigour of green vegetation and thus occurrence of any moisture stress. Climate tools have a great role in understanding the crop performance and estimating the yields. This study was taken up by using freely available MODIS data to understand NDVI in terms of abiotic stresses over Anantapur district and linking with the actual rainfall conditions, groundnut crop acreage and production. Results indicate that low groundnut yields in general could be related to NDVI-based stress measurements and rainfall quantum and distribution in the area however, with a few exceptions. It is hoped that by combining improved practices through IWM with climate-adapted crop varieties, rainfed farmers of Anantapur district can sustain their crop production under present climate variability and become resilient to future climate change.

Keywords: Climate, MODIS, NDVI, Anantapur, Groundnut, Integrated Watershed Management

Abstract

Higher temperature and altered rainfall patterns accompanied by extreme weather events are being considered indications of climate change. These factors impact vegetation growth in natural forest, open scrub and in agriculture land. Vegetation index based on satellite data was used to analyse agricultural vulnerability in India to understand impact of rainfall variability. Time-series Normalized Difference Vegetation Index (NDVI) data products obtained from AVHRR (1982 to 2006) and MODIS (2000-2011) were analyzed to assess spatial and temporal variability. Coefficient of variation of maximum NDVI was assessed for the study period and results were corroborated with Standard Precipitation Index (SPI) instead of actual rainfall. Resolution of AVHRR time-series data facilitated study at regional-scale while MODIS datasets with 250m pixel resolution helped in identifying vulnerability at district-level. Study indicated that over 241 Mha areas in the country may not be vulnerable to rainfall variability induced climate change while over 81.3 Mha in arid, semi-arid and dry sub- humid regions may be vulnerable. Study indicated that over 12.1 and 1.81 Mha of Kharif cropland would be mildly and severally vulnerable while 6.86 and 0.5 Mha of Rabi cropland may be adversely affected in a similar manner. Study indicated that length of cropping season was decreasing due to delay in start of season. The paper also presents analysis of variations in SPI and resultant NDVI in typical drought and flood years in the country.

Keywords: MODIS, AVHRR, NDVI, Rainf ed Agricul ture, Vulnerability, Climate Change

Abstract

This study was conducted at Directorate of Cashew Research (DCR) Puttur, D.K., Karnataka during 2007-12. In this study, a methodology was standardized to find the area under cashew, barren areas and other areas for expanding cashew cultivation with remote sensing. It was found that the images pertaining to the month of November was best for classifying cashew since the colour of cashew leaves changes during that period. Also, the LISS III images were found to be good for identifying cashew. It was not possible to differentiate between cashew seedling area and cashew graft area using LISS III or LISS IV images. A spatial database of soil moisture was prepared for the irrigation scheduling in cashew and a spatial database of major nutrients was prepared for the site specific nutrient management in cashew gardens. A spatial database of land slope and stream orders was prepared using GIS and suitable soil and water conservation interventions were suggested for the selected area.

Keywords: Cashew, GIS, remote sensing

Abstract

The sustainable management of plant genetic resources is of great concern as increasing population and rapid technological strides are putting enormous pressure on this country’s nutritional and food security. Management of plant genetic resources at national level generates and uses enormous data and analysis of these data is crucial to the effectiveness of PGR management process and can add significantly to the value of genetic resources. A GIS is a database management system that can simultaneously handle data representing spatial objects and their attribute data. GIS allows us to view, understand, question, interpret, and visualize data in many ways that reveal relationships, patterns, and trends in the form of maps, globes, reports, and charts. It can play an important role in the management of large and complex PGR datasets. The article analyses the potential uses of GIS in plant genetic resources management in India covering various activities such as germplasm exploration and collection, characterization and evaluation, plant health management, documentation and conservation.

Key words : plant genetic resources, germplasm, conservation, documentation, DIVA-GIS,

Abstract

Geographical Information Systems (GIS) application in plant genetic resource management allow capture, manipulate, process and display of georeferenced data integrated with genetic resource database for operations such as query and statistical analysis, visualization and geographic representation. GIS based several spatial tools have been developed that model species’ ecological niches finding a relationship between crop or variety with a set of environmental parameters and useful for planning exploration, evaluation trials, in situ and ex situ conservation sites. GIS technologies have direct practical application in elucidation of genetic, ecological and geographic patterns in the distribution of crops and wild relatives; mapping of richness, diversity, distribution of useful traits and, location of areas with complementary diversity; gene bank information management and strategies for future explorations and gap analysis; selection of suitable accessions/sites for ex situ evaluation; searching germplasm for abiotic stress tolerance and developing core collections. With the increasing availability of high- speed computers and software development in the area of GIS tools specific to PGR management increasing trend in application of these is expected. Apart from ecogeographic survey for locating diversity and germplasm collection and design, management and monitoring of in situ reserves, introduction of new varieties, and development of core collection, locating gene donors for biotic and abiotic stresses are the areas to be benefited with the GIS application.

Keywords: GIS, genetic resource, distribution, diversity, core collection, gap analysis, mapping

Abstract

Agroforestry is an integrated self-sustainable land use management system that is not only capable of producing food from marginal agricultural land but also capable of maintaining and improving the quality of environment. It plays a vital role in achieving integrated rural and urban development. But reliable data on number of trees and area under agroforestry is not available as methodology for estimation of even area under agroforestry is not yet standardized. In this paper, a methodology for estimation of number of trees under agroforestry using high resolution satellite data has been proposed and estimation of number of trees as well as area under agroforestry in Ludhiana district of Punjab State has been done using the proposed methodology. Land use/land cover map of the district has also been generated using ERDAS IMAGINE software. It has been observed from the accuracy assessment that the estimates of number of trees as well as area under agroforestry obtained using the proposed methodology under this study are very reliable. Therefore, the proposed methodology may be replicated for estimating number of trees as well as area under agroforestry in other parts of the country.

Keywords: Agroforestry; Estimation of number of trees, Area estimation; Remote Sensing; GIS

Abstract

Agroforestry is an ancient practice that farmers have adopted throughout the world. There are innumerable examples of traditional land use practices combining production of trees and agriculture crops on the same piece of land. In India, the organized agroforestry research began in 1979 when a Seminar on Agroforestry was organized at Imphal by the ICAR, New Delhi. As a follow up to this, ICAR launched an All India Co-ordinated Research Project on Agroforestry (AICRPAF) was started in 1983. The diagnostic survey and appraisal revealed that there are enumerable agroforestry practices prevalent in different agro- ecological zones of India occupying sizeable areas. However, spatial technologies like Geographical Information System (GIS), Remote Sensing (RS) and Geographical Positioning System (GPS) have yet to be implemented extensively in this field in India. The spatial technologies have shown great potential in natural resource management through out the world, especially in developed countries in the fields like forest cover mapping, agricultural planning, watershed management, land use planning, etc. In India the agroforestry land use occupy large areas but use of these technologies to estimate area has been initiated in year 2007 with DST sponsored project entitled ‘Spatial and Temporal analysis of agroforestry interventions in North-western India using GIS and Remote Sensing’ The area under agroforestry systems has been estimated/ mapped in two districts viz., Yamunanagar (Haryana) and Saharanpur (Uttar Pradesh), where intensive commercial agroforestry was predominant. Besides, the methodology developed as an out come of this study may be replicated for agroforestry systems existing in other parts of the country.

Keywords: Agroforestry, Geo-spatial, Mapping, Natural Resources, Remote Sensing.

Abstract

Remote sensing and Geographic Information System (GIS) are integrated system in providing precise information on nature, extent and spatial distribution of land resources to assess their potential and limitations for planning, monitoring and management towards sustainable development. The use of remote sensing and GIS provide immense opportunities in the field of large-scale mapping, generate and update of existing geographical databases for decision making in site- specific management and development of land resources. Integration of remote sensing and GIS includes the use of each technology to benefit the other, as well as the application of both the technologies for geospatial modelling and decision support. Remote sensing and GIS integration has clearly benefited from advances in computing and Global Positioning System (GPS) technologies, including innovations in use of decision tree algorithms and neural networks. The generated precise spatial database in GIS on land resources, socio-economic and contemporary technologies could be effectively used to develop GIS based Spatial Decision Support Systems (SDSS) for sustainable management of land resources. In this article an attempt has been made to provide an overview on the remote sensing and GIS technologies as a special decision support tools in inventory, characterization and management of land resources particularly in digital terrain analysis, geomorphological mapping, hydrological applications, soil resource inventory, assessment of soil loss, land degradation and soil fertility, soil-site suitability and watershed prioritization.

Abstract

Soil quality assessment has been recognized as an important step towards understanding the long term effects of land management practices within agricultural watersheds. Potential soil quality issues include continued high rates of erosion, losses of organic matter, reductions in soil fertility and productivity, as well as chemical and heavy metal contamination. This case study addressed the spatial variability of soil properties and its quality at the watershed level using geostatistical methods. Soil samples from the 0- to 20-cm depth were collected on a 100- by 100-m grid across an 88-ha watershed at Sakaliseripalli village in the Nalgonda District in Andhra Pradesh State, India. Geostatistical analysis showed that most of the soil parameters were moderately spatially dependent. An assessment framework, that included a minimum data set, linear scoring technique, and additive indices, was used to evaluate the soil quality index (SQI). Through principal component analysis, cation exchange capacity, exchangeable Na percentage, DTPA-extractable Zn, available P, available water, and dehydrogenase activity have been emerged as the most important indicators for evaluating soil quality. A kriged map of SQI was prepared for the watershed. The SQI was found to be higher in irrigated systems than under rainfed conditions. In the study, potential soil loss calculated using the Universal Soil Loss Equation and crop yield were identified as the quantifiable management goals; the results indicated that soils having higher soil quality indices were more productive and less erosion prone.

Keyword : Principal Component analysis, SQI, Watershed, Geostatistics, Potential soil loss

Abstract

Runoff from rainfall is an important component of the hydrological cycle. Estimation of runoff is critical for the design of hydrological structures and drainage systems in watersheds. Different soils, land use, and water management practices affect runoff differently. In real watersheds, land use, soils and weather conditions vary spatially over the geographical area of the watershed leading to spatial variations in runoff. Also, most watersheds form a part of larger drainage basin or a large watershed consisting of several such subwatersheds. Each subwatershed is hydrologically connected to the other subwatersheds of the basin. A comprehensive GIS based decision support system (DSS) for estimation of runoff that includes the spatial variations in rainfall and natural resources is presented. The DSS is developed as a deployable application by integrating independent GIS layers of watershed features created in ArcGIS with MapObjects in VB, for a case study watershed - the KK3 watershed in Mahbubnagar district of Andhra Pradesh, India. The DSS generates thematic maps of spatial variations in runoff on individual rainy days for the subwatersheds.

Keywords : GIS, GUI, Land use, Rainfall, Remote Sensing, Runoff, Soil, Sub-watershed, Watershed 228 Geospatial Technologies for Natural Resources Management

Abstract

Remotely sensed data have become the primary realistic source for natural resources and biomass estimation, since last 30 decades. A summary of earlier research on remote sensing and GIS based biomass estimation approaches and a discussion of existing issues prompting biomass estimation are very valuable for further improving biomass estimation performance with the integration of geographical information systems. This paper discusses the recently most accurately alternative research methods to integration of remote sensing and GIS applications for identification, characterization and analysis of biophysical characters. The remote sensed data and geographical information systems using the accurate assessment of natural resource and management for the enhancement of biomass production and estimation. There is not any other option for the perfectly biophysical and natural resources estimation in small to large area. The earlier research has demonstrated that biomass estimation remains a challenging task, especially in those study areas with complex forest and mixed traditional cropping systems and environmental conditions. Either optical sensor data or radar data are more suitable for forest sites with relatively simple forest stand structure than the sites with complex biophysical environments. A combination of spectral responses and image textures improves biomass estimation performance. More research expertise is needed to focus on the integration of remote sensing, GIS& GPS, the use of multisource data, and the selection of suitable variables and algorithms for biomass estimation at different scales. Understanding and identifying major uncertainties caused by different stages of the biomass estimation technique and applying strength of mind to reduce these uncertainties are critical.

Keywords : Integrating, Remote Sensing, Bio-physical, Resources, Environment

Abstract

Any country’s socio-economic development essentially depends on land and water resources. Resource depletion takes place when there is an overstretching due the exploding population, calling for prudent management of the resources. Application of remote sensing and Geographical Information System (GIS) tools in the management of natural resources at different levels including watersheds is quite well known. In addition, applied geoinformatics are also used in research on management of these delicate resources also besides characterization. There is a continuous advent in technology in both hardware and software necessitating updation of application scientist/manager. Once an exclusive tool of elite institutions and government agencies, GISnow became an indispensible part of our day-to-day life. As the urge for information intensifies, new applications of GIS continue to evolve. A concerted effort is needed to develop an information system when vast expanses of natural resources are to be managed and a combination of information tools like remote sensing, global positioning system and GIS always updates the database effectively. However, the cost factor should not hinder the applications at micro level. This necessity calls for attention to popularize free and open sources of software (FOSS) and data (particularly digital elevation models (DEM) and satellite imagery) to put the techniques into use by enthusiasts at village level such that a database at a regional level can be built through participatory GIS. It is in this direc tion the av ailab le li terat ure on appl ied geoinformatics coupled with use of FOSS is reviewed and presented in this article to give an idea as to how an open ended information system could be developed to help the management.

Keywords: Natural resources, management, Remote sensing, GIS, FOSS, DEM

Abstract

Traditionally remote sensing technology has been widely used in the mapping and change detection of vegetation features. Of late research has shown that remote sensing technology can be successfully employed for retrieval of biophysical parameters of vegetation, either by statistical techniques or by employing radiative transfer models (RTMs). This paper gives an introduction to leaf and canopy RTMs, especially about PROSAIL, which is the most commonly used model. It reviews different techniques for inverting RTM models, their merits and performance comparison. The main techniques briefly described are iterative optimization, look-up table, artificial neural network, genetic algorithm and support vector machine. At the end, it gives examples of applications which use canopy biophysical parameters retrieved by inverting RTM.

Keywords: Radiative transfer, PROSAIL, Inversion, Vegetation

1.0 Introduction

Accurate quantitative estimation of vegetation biophysical variables is useful for a large variety of agricultural, ecological, and meteorological applications (Houborg et al., 2007). The spatial and temporal distribution of these variables are important inputs into models quantifying the exchange of energy and matter between the land surface and the atmosphere, developing better yield prediction models and detecting abiotic stresses at regional scales. Among the many vegetation characteristics leaf area index, leaf chlorophyll content and leaf water content are of prime importance (Bacour et al., 2006; Houborg et al., 2007).

Abstract

In the present study an integrated remote sensing and Geographical Information System (GIS) based methodology is adopted for demarcating the groundwater prospective zones and identification of artificial recharge sites in the Peddavanka watershed, Andhra Pradesh. In this study Shuttle Radar Topograhic Mission (SRTM) digital elevation model (DEM) with spatial resolution of 90 m and Indian Remote Sensing Satellite (IRS-1A), Linear Imaging Self Scanner (LISS- III) satellite data along with other field and collateral data on geology and well inventory have been utilized to generating the Drainage, Slope, Lineaments and Hydro geomorphology of the study area, which are an essential prerequisites for demarcating water resources and identification of recharge sites. Spatial data integration and analyses are carried out in GIS environment.

Keywords : DEM, Drainage, Hydrogeomorphology, Groundwater prospective zones, Remote sensing, GIS

1.0 Introduction

Groundwater is an important natural resource in arid and semi- arid regions, because most of the places surface water resources are scarce and some places it’s totally absent particularly in hard rock areas. Because in hard rock terrains availability of groundwater is of limited extent and its occurrence is essentially confined to fractured and weathered zones (Saraf and choudhury 1998, Sankar 2002). In these areas groundwater recharge depends on rainfall only. For understanding rainfall recharge mechanism and groundwater management in the watersheds level, first we have to understand the morphometric parameters in the watershed level.

Abstract

Land development in urbanized watersheds poses a potential of increasing storm runoff rates, and therefore increasing the risk of flooding in the downstream areas of a watershed. To investigate the impact of change in land use practices on the watershed hydrology, an hydrological analysis was conducted on Little Kitten Creek watershed located near Manhattan city of Riley county, Kansas, USA. Prior to development, land use types in the watershed included woodland, pasture, and fallow land. However, rapid development has occurred in the watershed in the last ten years. Post development land use practices include commercial development, residential housing, and conservation (woodland and grasslands). Data collected and analyzed included digital elevation model (DEM) of study site, stream network and soil data using ArcGIS (ESRI, 2006) and Arc-Hydro Software (Maidment, 2000). Watershed characteristics such as slopes, channel length, circularity ratios, and drainage density were also computed. The delineated watershed boundary, stream segments and soil data layers were over laid to produce soil maps. Time of concentration (Tc) was determined for the pre and post development conditions in the watershed using seven different methods. The time of concentration values computed using Kerby, Federal Aviation Agency, Kinematic Wave and NRCS (SCS) methods found more reasonable compared to the remaining three methods used.

These computed time of concentration values were observed to be shorter for the post-development condition when compared to the pre-development condition of the watershed. The reduced time of concentration in the post development condition is attributed to increase in percentage of impervious areas due to increased residential development in the watershed; therefore increased rates of runoff in the watershed are expected.

Keywords: Rezoning, Time of Concentration, DEM, Kinematic Wave, Drainage density, Circularity ratio.

Abstract

Conventional wisdom holds that variability in rainfall represents a significant variability of agriculture production. But urbanization of the cities on one hand and climate change on theother hand areaffecting the agriculture. Surprisingly, there have been very few analyses exploring the link between rainfall variability and urbanization on agriculture production. Therefore an attempt is made in this paper to know the affect of rainfall variability and urbanisation on the cropping area. For this purposeNDVI analysis is carried out in the catchments of Osmansagar and Himayathsagar Reservoirs by using the medium to high spatial resolution multi spectral data provided by remote sensing satellites, such as Landsat TM, IRS-1C/1D LISS-III and IRS-P6 LISS-III has been used for the years1989, 1994, 1998, 2002 and 2008 for Kharif season, 1975, 1990, 1994, 1998, 2003 and 2008 for rabi season which is collected from NRSC (National Remote Sensing Centre). From this analysis it is found that the increment is more in rabi season compared to kharif season due to the increment of non-monsoon rainfall intensities and ground water withdrawal structures. The increased utilization of the groundwater is causing the reduction of inflows to the reservoirs in the recent years because whatever the rainfall that occurs in the catchment, first utilised for meeting the depleted soil moisture and ground water consequently reducing the surface runoff.

Keywords : Climate change, Urbanisation, Inflows, Cropping area, NDVI

Abstract

The rapid development and integration of spatial technologies viz., Geographical Information System (GIS), Remote Sensing (RS) along with Global Positioning Systems (GPS) provide functional alternatives to revolutionize the conventional entomological approaches like surveillance, spatial/temporal distribution of insect populations, pest distribution mapping and predictive modeling. Application of these technologies for insect problems is well established in the fields of forest, range land, medical and agricultural entomology elsewhere. Nevertheless, in India its field relevance in agricultural entomology is still limited owing to lack of proven field prototype studies and collaborative efforts among stakeholders. It’s time to gain real momentum to integrate these progressive technologies to formulate sustainable integrated pest management programs.

Key words: GIS, Remote Sensing, Insect Populations, Field Applications

Abstract

Carrying out effective and sustainable agriculture has become an important issue in recent years. A key to this is the usage of modern technologies for precision agriculture. Recent technological developments allowed envisioning sensor devices with distributed ambient sensory network, which could be a potential technology for monitoring various natural phenomena (weather parameters, soil moisture, etc.) at micro level. As more and more agricultural data are virtually being harvested along with the crops and are being collected/ stored in databases, the same can be used in productive decision making if appropriate data mining techniques are developed/applied. As a case study for this, an experiment was conducted with four consecutive agricultural (Kharif and Rabi) seasons in a semi-arid region of India to understand the crop-weather-environment-pest/diseases relations using wireless sensory and field-level surveillance data on closely related and interdependent pest/disease dynamics of groundnut crop. Association rule and multivariate regression mining techniques/algorithms were propose developed /tailor-made to turn the data into useful information/ knowledge/relations/trends to know crop-weather- environment-pest/disease continuum. These findings have been used for development of prediction models (cumulative and non-cumulative) followed by a web based pest/disease decision support system.

Keywords : Data Mining, Pest/Disease Management, Precession Protection, Wireless Sensor Networks

Abstract

Remote sensing is the art and science of obtaining information about an object or phenomenon without having any contact with the object concerned. Geographical information system is a tool to create, manage, retrieve and query spatial databases. Remote sensing in conjunction with Geographical Information System (GIS) has wide applications in all spheres of life and especially in agriculture. Specifically, this paper reveals some of the applications of remote sensing and GIS in the field of crop condition assessment viz., crop type classification, crop stress detection, crop yield estimation and pest and disease monitoring.

Keywords : Remote Sensing, GIS, Yield Forecasting, Crop Stress, Pest and Disease Monitoring

1.0 Introduction

Remote sensing is the art and science of obtaining information about an object or phenomenon without there being any physical contact. The information is so collected using a device called a sensor. The sensors are mounted on a platform at an advantageous position. Accordingly the remote sensing is called ground based (sensor is hand held or mounted on mast), air borne (sensor is on a balloon or aero plane) or space borne (sensor is mounted on a satellite). The basic principle in remote sensing is that each and every object has unique reflecting property like human thumb impression and when the solar energy is falling on an object a part of it gets reflected, which carries the information about the object. The reflected light is converted in to reflection percentage of incoming solar radiation. This percentage of reflection can be used to work out the vegetation indices which are surrogate measure of crop condition.

Geographical Information System (GIS) is software system which enable Collection of large volume of data with spatial relation Integration of data from different source is possible Analyze such data for our requirement Present the data in different formats (maps, table and reports)

Abstract

The present study discusses the cropping pattern changes in Andhra Pradesh agriculture will leads to crop diversification and crop concentration using with Geographical Information System (GIS). Crop data were compiled for the triennium ending period 1980-81, 1990-91, 2000-01 and 2004-05 from various statistical abstracts of Andhra Pradesh. For measuring the crop diversification indices, we have used the Herfindahle index and for crop specialization is measured by using the Location quotient method. The level of crop diversification in the some districts of the state in the eighties is very high. However with the advent of green revolution, there had been a moderate crop unification or crop concentration in the eighties. This trend of crop unification is found to be reversed after 1990-91, though the magnitude of the change is not very striking. The crop diversification is observed to differ across the districts. The level of crop diversification is high in the agricultural backward regions of Rayalaseema and Telangana districts and low in the agriculturally progressive Coastal Andhra districts. During the period 1990-91 to 2004-05, the major trends in crop concentration are increase in the concentration of rice in the districts where it is popularly grown and decline in the concentration of coarse cereal crops, pulses and oilseeds. The concentration of spice crops and fruits and vegetables are also on an increasing trend, which they are popularly grown in their respective districts.

Keywords : Cropping Pattern, Diversification, Location Quotient, Andhra Pradesh, GIS

Abstract

Food security to the increasing population on one side and the increasing export of food grains on the other side has lead to the immediate attention on to raise the food production in our country. The decreasing land availability for agriculture due to the increased degraded lands and use of agricultural lands for non agricultural purposes has still worsened the situation. In order to match with the food requirement from decreasing agricultural lands, Indian agriculture has been pushed towards indiscriminate use of farm inputs exploiting the non renewable natural resources without any concern to the environmental ill effects leading to further degrading of the situation. Even though the concept of sustainability is age old, the importance is felt recently. Sustainable use of resources at farm level can magnify the effect of conserving non renewable resources and reducing ill effects on the environment at state level and to the country. Sustained farm production is a key to manage our resources and environment. Adoption of new information technologies with the conventional agronomic practices to increase farm production is made inevitable due to our past experience. The advancement in the technology tools like Remote Sensing, Geographic Information System, Global Positioning System and Decision Support Systems have paved way for better and effective management of crop production at farm level. 46 Geospatial Technologies for Natural Resources Management

A systematic approach of management involving advanced technologies and conventional agronomic practices through understanding the factors like soil variability, weather parameters and crops that contribute for the sustainable farm production is need of the hour. The spatial and temporal variability of the farm production parameters are to be studied and mapped in relation to historical data of the farm for successful site specific management. Site specific management tools may improve decisions related to site conditions, thereby reducing the aspect of uncertainty in the management system. This approach of farm management using advanced technologies viz., Remote Sensing, Geographic Information System, Global Positioning System, Variable rate technology, crop production modeling and Decision Support System can enable sustainable farm production with beneficial effect on the environment in future.

Keywords : Remote sensing, GIS, Sustainable Farm production, Site Specific Management

Abstract

Soil Resource Appraisal helps in characterizing the existing land resources, assessing their suitability for various land uses and then helping the user to prepare a rational land use plan suitable for the integrated development of the area. Application of Remote Sensing (RS) and Geographical Information System (GIS) helps not only in the characterization of the resource base, but also in the generation of various thematic maps and preparation of land use and action plans for effective implementation of various developmental plans at farm level.

Keywords : Soil Resource Appraisal, Land Use Plan, Farm level Developmental Plans

1.0 Introduction

A thorough knowledge and understanding of soils is basic to the development and management of agricultural resources. About 100 years ago, man began systematic study of soils in the field and tried to separate, classify and map their geographic distri­bution. Today we have sufficient knowledge about soils; however the characterisation, classification and mapping of soils is still tedious, time consuming and costly affair. Therefore the need for adopting new and more rapid and accurate methods of mapping soils has resulted in the use of satellite images with image interpretation techniques for soil survey and map­ping.

In India for the country as a whole, soil and other land resources information is available at 1:1 M scale, which was generated from the state level mapping done at 1:250,000 scale under the Soil Resources Mapping Project of India during the period from 1986 to 1995. This information is of general nature and useful for planning on a wide canvas and not particularly useful for farm or watershed level planning in the country. For site-specific needs and for developmental works at watershed level, we need detailed farm level database at 1:10,000 scale. Once this type of information is generated at village/watershed level, this will be useful for identifying site specific constraints, generation of area and site specific agro technologies, land-use options based on soil site suitability assessment, wasteland identification, identification of prime farm lands and farm clusters for zoning and Strategic planning, preparation of farm level development plans by line departments and proactive advice and technology transfer to farmers.

Abstract

The ever increasing population in India and the world, impeding threats from the climate change scenario and the increasing demand for land resources from the industrial sector calls for improved resource efficiency. The production strategies are changing from input intensive to integrated resource management strategies. The shift is towards adopting the precision farming technologies like addressing the site specific variability and crop needs. Remote sensing technology coupled with GIS has been recognized as reliable tool in agriculture to guide application of fertilizer, pesticides and other farm inputs. With precision farming, technologies such as grid soil sampling, remote sensing, on- the-go sensing, and electronic yield monitoring help farmers gather very detailed information about the heterogeneous makeup of a farm field. Site specific applications means application of required input only where it is required rather than entire fields or adjusting application rates accordingly. This chapter discussed the input management based on the time of intervention - Input management prior to crop sowing, in season crop management and end of the season.

Keywords : Management zones, soil variability and Remote Sensing

1.0 Overview

Natural resources sustain life and are critical for economic development of nations. In developing countries like India where more than half the population is rural, economic development is inextricably linked with agricultural development. In these countries, the food and livelihoods security of the poor are critically associated with access to the services provided by the natural resources - land, soil, water, biodiversity and climate resources. The natural resources are finite, and with increasing population, economic growth, urbanization, and demands for food and other agricultural commodities, these are being increasingly strained. As a result, the productive capacity of the natural resource base is shrinking and deteriorating. Sustaining the productive capacity of natural resources for future generations, while meeting the food and other demands of the growing populations, is the major development challenge of the twenty first century.

In India, during the last forty years the net sown area under agriculture has remained nearly constant at 141 million ha. In the same period, the population has more than doubled (from 541 million in 1970 to 1186 million in 2010) and per capita income grew by more than 3.5 times (from Rs 14824 in 1970 to Rs 53331 in 2010). As available land resources for agriculture are finite, increases in agricultural production to meet the growing demands of the population have to come from intensification of agriculture on the same lands. As a result, the quality of soils on these lands is gradually deteriorating both at the farm and ecosystem levels. The major threats to soil quality come from loss of organic carbon, erosion, nutrient imbalance, compaction, salinization, water-logging, decline in soil bio-diversity, urbanization, and contamination with heavy metals. More than 100 million ha of the total cultivated land of 141 million ha is stated to be under some form of soil degradation.

Similarly, utilizable fresh water resources of India are finite at about 1123 billion cubic meters (BSM), of which about 690 BCM are from surface water resources and 433 BCM are from groundwater. This supply is shared among multiple uses: human and animal consumption, agriculture, urban uses, industry and for provision of environmental services. The total water demand in 2010 is estimated at 710 BCM and is projected to increase to 1180 BCM by 2050. Several parts of India are already facing severe water shortages as a result of the growing demand for water. The quality of water resources is also impacted by agricultural intensification and development, and is increasingly a matter of concern. By the year 2050, when population is expected to stabilize, the shortages will only intensify. The country as whole can be on the verge of becoming a water scarce country, with nearly all the presently estimated utilizable water resources being put to use.

Biodiversity natural resources refer to the abundance of different species and ecosystems in nature. These resources are the primary sources of present and future productive agriculture and human well being, as they provide the basic resources for use in breeding crops and livestock, soil formation and structure, soil fertility, nutrient cycling and the provision of water services. India is among the 12 mega diversity regions of the world. It is known to have more than 18,000 species of higher plants including, 160 major and minor crop species and 325 of their wild relatives. Increasing pressure from human population growth, agricultural intensification, urbanization, pollution and degradation of land, soil and water resources are having a negative impact on the plant, animal and microbial biodiversity resources of the country and their productivity.

Abstract: This chapter reports variations in organic C, total N and P, mineral N and P, and exchangeable K, Ca and Mg, and microbial biomass C in soils in relation to leaf litter and root biomass (0 to 10, 10 to 20 and 20 to 30cm) at two canopy positions viz. under canopy and between canopy of homegarden trees i.e. coconut palm (Cocos nucifera L.), and clove (Eugenia cariophyllata Thunb) and nutmeg (Myristica fragrans Houtt. Nees) spice trees. It also deals with seasonal variations in pool sizes of mineral N (NH4+-N and NO₃--N), and net N mineralization rate (0-15 cm) in relation to rainfall and temperature under the homegarden trees, and examines how high rainfall (incessant rainfall) influences water filled pore space (WFPS), net nitrification and net ammonification rates, pool sizes of NH4+-N and NO₃--N and microbial biomass C in the soils and conserves nutrients in humid tropical climate. The chapter also describes how high rainfall makes phosphorus available in high regime of iron in the soils; and perennial cover crop like Pueraria separately and together with phosphorus increases soil N mineralization. Organic C, total N, total P, exchangeable NH₄+, NO_3- , exchangeable K, Ca and Mg are higher in the under canopy and between canopy positions of all the homegarden trees than that in open. Rate of mineralization is the highest during the post-wet season and the lowest during the dry season (February to April) under all homegarden trees. High rainfall during the wet season, however, reduces the rate of nitrification under all the trees.

Abstract: North East India has a fragile inaccessible terrain with a sloping topography wherein agroforestry being diversified in nature, has the capability to eliminate the ill effects of land degradation through intensification in land use. Shifting cultivation widely practiced by the aboriginals is mainly instrumental in carrying out deforestation as well as land degradation but many indigenous  land use systems present in practice since time immemorial are proven considering an approach to achieve eco-sustainability. A number of agroforestry systems such as  agrihortisilviculture, multistoried  homegradens, silvipastoral and agroaquaculture etc are dominantly present in the region.The information on soil fertility improvement by agroforestry systems is documented herein. Organic matter build-up was appreciably high in soils of agroforestry. Similar to soils under shifting cultivation, a low humification of soil humus was noted in soils of uplands without any forest cover but a reverse trend leading to high rate of humification could be initiated in soils under agroforestry systems. Moreover, decline in soil acidity, rise in water holding capacity and augmentation in nutrient  availability were noted in soils under agroforestry systems.

Abstract: This chapter reports soil and nutrient loss due to water erosion from five major land uses, i.e. vegetable fields, coconut plantation, arecanut plantation, home garden and moist evergreen forest on the undulating topography of the island. Soil loss under the land uses was quantified using replicated runoff plots. Vegetative methods, i e Gliricidia hedgerow + crop, hedgerow + mulch + crop, hedgerow + mulch + crop + grass barrier, for vegetable field under till conditions, and Pueraria cover crop (coconut + Pueraria phaseoloides  cover crop) for coconut plantation were tested to know their potential to arrest soil erosion in the respective system. Soil loss from the vegetable field under No till conditions, coconut plantation, arecanut plantation, home garden and forest was 3.8, 12.4, 10.6, 8.4 and 2.3 tonnes/ha, respectively. Soil working in vegetable fields (till + crop treatment) provoked soil loss to124 tonnes / ha. Erodibility was the lowest (0.06) in the forest and highest (0.26) in the vegetable field under till condition.  Among the nutrients, the highest loss, across the treatments, occurred for nitrogen and lowest for phosphorus. The hedgerow alone in vegetable fields reduced the soil loss substantially (66 %). However, it together with mulch and grass barrier reduced the soil loss nearly equal to that found in the forest. Like wise, Pueraria cover crop (19 years old) brought down the soil loss under the coconut plantation equal to that in the forest. These observations suggest that Gliricidia hedgerows for vegetable cultivation and cover crop for coconut plantation may be good vegetative methods for soil erosion control in the island.

Abstract: Agroforestry, is a sustainable land use system being practiced since long time through out the country. A diverse climatic, edaphic, and environmental conditions prevailing in the country has made it possible to practice different kinds of agroforestry systems. Karnataka state has four major agro-ecological regions and coffee agroforests are prevalent in the region of Western Ghats of Karnataka, which has tropical climate. With in Karnataka, Kodagu district has highest area under coffee agroforests with a total area of 1,00,079 hectares and is the largest producer of coffee in the country. The area under coffee agroforests is increasing at the cost of natural forested landscapes, which is considered as a looming threat to biological diversity. But, at the same time there are arguments that these coffee agroforests also supports high level of biological diversity. There are very few studies to justify this argument. With this background the present study is an attempt to enumerate the biological diversity of coffee based agroforests of Kodagu.

Agroforestry systems essentially involve a perennial component and provide cover to the soil through litter fall and tree canopy, which contribute to the conservation of soil and water resources in arid and semi-arid areas. Moreover, arid and semi-arid areas are exposed to extensive soil erosion by wind and water, respectively.  Planting of trees on erosion control structures as windbreaks, boundary plantations and tree-based systems are some of the potential ways for conserving natural resources (Singh, 2003).  Agroforestry and soil conservation have major role to play in the context of global climate change likely to occur from extremes of weather events and erratic rainfall behaviour.
 
    •    Provide  permanent vegetative cover to the soil or land surface and thus substantially control erosion caused by both runoff and wind.

    •    Improve soil quality through increased soil organic matter addition from litter fall and root turnover; and  improved  environment for soil microbe and earthworm activity. 

Abstract: Trees are known to reduce growth and yield of crops under their canopy in agroforestry systems through competitive interaction. This chapter describes the mechanism of competitive interaction between Linseed (Linum usitatissimum L.) and Leucaena leucocephala (Lam) De Wit in an alley cropping system. To know the mechanism of competitive interaction in agroforestry, three competition situations are created: crop + Leucaena shrub neighbour, crop + L. hedge neighbour and sole crop. In this study competitive interaction is studied in an alley cropping system having two alley width sizes i.e. 4m and 8m. Sunlight at ground, soil organic C and total N are measured in all the competition treatments at different distances from shrub and hedge neighbors. Sunlight is not reduced in crop + hedge treatment like that in sole crop treatment. Sunlight is reduced in crop + shrub treatment (36 to 82%), being the highest in 4m alley and the lowest in 8m alley size. Soil organic C is high but total N is low in crop + hedge and crop + shrub neighbour than in sole crop treatment. Comparing the two competitive treatments (crop + hedge and crop + shrub neighbour) it is observed that growth rate (42 to 55%) and crop yield (71 to 72%) are reduced greater due to aboveground than belowground competition. Belowground competition is 3.6 times greater in 4m than in 8m alley, suggesting that spacing is an important factor, which regulates tree/crop competition so does the crop yield reduction in an agroforestry system.

Abstract: Alley cropping system is known for several services like fodder and fuel production, nutrient management, and soil erosion control from hilly terrain in humid tropics, but it could not make in farmers field. This study explores the role of Gliricidia leaf manure on nitrogen management in soils. Simultaneously, the system is modified to make it highly profitable, so that it may become farmer’s friendly in humid tropics. For nitrogen management in soil, two methods (leaves being incorporated into soil vs. surface) and three times of application, i.e. zero week after sowing (0 WAS), two week after sowing (2 WAS) and four week after sowing (4 WAS), of Gliricidia leaf in soil was considered. Two additional treatments, urea (120 kg ha-1, equal to the leaves) and control (no urea + no leaves) are also maintained to compute recovery of nitrogen from the leaves by the crop, and to know if the leaf manure could produce grain yield equal to that of equivalent urea. The study reveals there is no effect of the method of application on the decomposition and release of nitrogen from the leaves, soil N mineralization, nitrogen uptake, shoot biomass and yield of the crop, but time of application affects these parameters significantly. Maximum 50 % nitrogen is released quickly from the leaves within 15 days and remaining 48-49 % gradually in 60 days. Rate of soil N mineralization; nitrogen uptake, shoot biomass and grain yield in maize are the highest in 2 WAS and lowest in 4 WAS treatment. Recovery of nitrogen from the leaves is very low ranging from 4.5 to 9.3 kg ha-1. The leaves do not produce yield in maize equal to that of equivalent urea. However, for synchronization of maximum release of N from Gliricidia leaves and it’s 

Abstract: Stall feeding to cattle is not practiced in the Andaman Islands since generations. In the morning, after milking, cattle are allowed to go for free range grazing in the nearby forest or coconut arecanut orchards. But, like mainland territory the cattle do not form herd. They are trained in such a way that come back home during evening where they are fed with concentrate before the milking. Coconut and arecanut orchards occupying more than 14000 ha land are second major land use after forest in the Islands. The forage production in the grazing lands are not sufficient to meet out the demand of huge livestock population particularly during the lean period, form January to April. An attempt has been made to know the effect of four N fertilizer levels (0, 60, 80 and 120 kg ha-1 N) on net soil N mineralization rate (NMR) and soil moisture (SM), and shoot biomass (SB), FP, shoot biomass/root biomass ratio (SB/RB), N concentration in SB, N uptake and nitrogen use efficiency (NUE) of three grasses [Guinea (Panicum maximum Jacq.), Para (Brachiaria mutica (Forssk) Stapf) and Hybrid-napier (Pennisetum purpureum Schumach.)] under three canopy positions [under canopy (UC, representing high shade), between canopy (BC, representing low shade) and open] of coconut trees (Cocos nucifera L.) in a coconut based silvopastoral system in the Island conditions. The study has revealed that the tree reduces light 59% under UC and 32 % under BC positions, but the N fertilizer levels increase NMR by 11 to 51 % under UC and 3 to 44 % under BC positions compared to the open. SM does not differ across the canopy positions

Abstract: The Trans Gangetic Plains of India is a large fertile tract of north-west India where intensive rice-wheat based farming has led to soil and water problems.  Agroforestry is among the viable options to overcome these problems. It has already shown positive effects such as increasing tree cover, augmenting wood needs of industries and ameliorating socio-economic status of farmers. Poplar based agroforestry models have been widely accepted by farmers. Site specific superior poplar clones have been developed for superiority, growth and resistance to pest and diseases. Farmers successfully grow the annual crops (sugarcane, turmeric), seasonal crops in winter (wheat, potato, mustard, mentha etc.) and summer season (cotton, moong, pearl millet, sorghum etc). The reduction in wheat grain yield varied from 10.2 to 46.6 per cent from first to sixth year as compared to open field. Selection of shade tolerant crop variety, appropriate sowing time, irrigation, seed and fertilizer dozes help to mitigate these losses. Wheat sown during first fortnight of November produced significantly higher grain yield than other sowing times. Wheat variety PBW 502 performed better amongst the six wheat varieties tested under poplar. Tree crop interactions influence the damage caused by insects and diseases. Cultural practices reduce the number of hibernating pupae of poplar leaf defoliators (PLD) which subsequently leads to lower incidence of these defoliators. Percent damaged leaves were more in fallow (5.44 - 60.53) and less in intercropped plantation (2.49 - 49.20). PLD adult emergence percentage was significantly less in intercropped and ploughed (49.5 and 67.5) than fallow (83.0) plantations

Abstract: Economy of Bihar is solely dependent on agriculture. Only 7% area is under forest as against a minimum 33% required for ecological balance. To counter the environmental degradation and to provide fuel, fodder and timber, different tree-crop combinations were tried for accessing their compatibility. As a result some agroforestry systems have been recommended and are discussed in this paper. Economics of some of the successful system has also been discussed. A detailed account of prevalent agroforestry practices in Bihar is also given. Agri-horticulture system is most popular system adopted by large and medium farmers in the region. Finally, constraints in adopting and carrying out research in agroforestry along with future strategies to extend agroforestry in Bihar are also given in the paper.

Introduction

Agroforestry land use system is one of the most important means for improving productivity of rural resources. People’s perception about agroforestry varies with their use perspectives. Only 7 % area is under forest as against a minimum 33 % required for ecological balance. Per capita consumption of wood fuel in Bihar is 0.27 m3 per year and industrial wood is 0.054 m3. One of the studies, on demand and supply of wood in Bihar conducted by Division of Forestry

Abstract: Dry land ecosystems cover about 41% of the earth’s land surface including hyper arid region. There is a considerable difference between them, in which arid region covers 7% of global lands. These are barely productive and provide a meager existence to small populations, usually nomadic with little settlements as in Thar desert. In addition to hyper arid, other types are arid, semi and dry-subhumid, which are in danger of becoming desertified. Environmental conditions are harsh affecting agriculture production. People of Indian arid zone are well acquainted about agroforestry- an age old practice in India, but maintaining only a few trees on farmlands does not serve the growing demand of fodder, fueldwood and food. Adoption of alternate land use systems like alley cropping, lay farming, tree farming, dryland horticulture etc. may intensify crop production and sustain the rural livelihoods. The selection of tree/shrub species may be based on the tolerance towards drought, salitnity/alkalinity prevailing in the region. Based on arrangements and combinations of trees/shrubs with associated crops, agroforestry are categorized into: agri-silviculture, agri-horticulture, agripasture, silvipasture, hortipasture and silviherbal. Common trees are P. cinreraria, T. undulata, Salvadora oleoides, Acacia nilotica, A. tortilis, Ailanthus excelsa, Zizyphus nummularia, Z, mauritiana etc.

Introduction

Agroforestry has vast potential not only to meet the demands of fuel, fodder, timber, medicine and other Non-wood Forest Products but also to enhance green cover, soil and water conservation and reduce pressure on forests. The objective of agroforestry is to take advantage of the complimentary relationships between trees, crops and livestock in such a way that the productivity, stability and sustainability of the total system are maintained. It has great potential in improving degraded and affected sites and has been recognized as a restoration agent, rehabilitation process, and bioremediation mechanism, in addition to increasing farm income.

Agroforestry is not a new practice for the farmers of Tamil Nadu.  It has been in practice in various forms e.g. growing Acacia leucophloea in the grazing lands with Cenchrus ciliaris in the Kangayam tract of Tamil Nadu exists from time immemorial to meet the mixed farming in that tract. In late 60’s farmers in coastal areas of Chengalpattu and Cuddalore districts started growing Casuarina to be sold as firewood.  This effort was entirely of the farmers without any support from the Government.

Abstract: Agro-ecosystem analysis of the island farming system revealed four distinct micro farming situations (MFS) viz., Hilly (MFS I), Slopping hilly upland (MFS II), Medium upland valley (MFS III) and Low lying valley (MFS IV). The enterprise combination study indicated the suitability of plantation based cropping sequences + backyard poultry and livestock in hilly areas, Short and medium duration paddy, vegetables, floriculture, plantations, fodder + backyard poultry + goat,  fish cum poultry cum duck and cattle in slopping hilly uplands, vegetables, plantations + backyard poultry, fish cum poultry cum duck in medium upland valley and long and short duration paddy, vegetables + backyard poultry, fish cum poultry and cattle in low lying valley micro farming situations. Productivity and profitability analysis of different farming systems under various micro farming situations revealed that net return obtained from cropping was Rs 3,26,408,  livestock and poultry was Rs 64,300 in MFS I where as under MFS II, it is Rs. 1,53,989 from cropping, Rs 77,176 from livestock and backyard poultry and Rs 12,465 from poultry + duck + fish. In MFS III, net return obtained from cropping was Rs 9,297 livestock was Rs 72,306 and poultry was Rs. 2,630 and poultry + duck + fish was Rs 24,957. Similarly, in MFS IV, net return obtained from cropping was Rs 57,760 where as Rs 90,893 was obtained from livestock, Rs 11,000 from backyard poultry and Rs 14,872 from poultry

Abstract: The study reports the influence of biophysical and socio-cultural factors on composition, diversity and distribution of plant species in the homegardens of the Andaman and Nicobar archipelago of India. In Nicobar mostly an aboriginal tribe the Nicobari predominates. The Nicobaries are Christians. However, in the Andamans people from different parts of Indian subcontinent have been rehabilitated in the mid twentieth century. Mixed culture prevails in South Andaman, but in the other Andaman islands either Bengali or Tamil culture predominates. Biophysically, South Andaman is hilly whereas Nicobar is flat. Rests of the islands lie in-between the two extremes. But, all are similar climatically. Twelve to thirty-four plant species are found in the homegardens that are planted, cared and harvested. These plants are: palm, fruit, spice and forest trees, formed three-storey structure in Andaman and two-storey structure in Nicobar’s homegardens. Floristic similarity among the homegardens of the Andamans is 82 to 92%. However, it is only 12-18% between the homegardens of Andaman and Nicobar. Compared to Nicobar, species richness is greater in the homegardens of the Andamans. But, diversity is higher and evenness lower in the homegardens of Nicobar. All plant species in the Nicobar’s homegardens are spontaneous in regeneration. Among the Andamans, proportion of spice trees is higher in the homegardens of South Andaman, mango and citrus in North Andaman, and pineapple and vegetables

Abstract: Acacia nilotica (L.) Willd. Ex Del is an important multipurpose tree of traditional agroforestry system in the central India. The present chapter reports influence of tree canopy positions, i.e. mid canopy, canopy edge and canopy gap, of Acacia nilotica (12-yr) on texture, organic C, total and mineral N and P and soil pH, in different depths of soils, on productivity of rice during rainy and wheat during winter season. It also reports how residual nitrogen under the tree influence yield of rice following its felling after completion of rotation cycle. Sand particles are found to decline by 10% and 9% whereas clay particles increase by 14% and 10% under mid canopy and canopy edge, respectively, than in open. Clay particles are not influenced by the canopy positions. Soil organic C, total N, total P, mineral N (NO3- -N and NH4+- N) and P are greater under mid canopy and canopy edge positions than in open. Soil organic C and N pool sizes are maximum in 0-10 cm and decline with depths. Total and mineral P contents are nearly uniform across the depths. C/N ratio increases with soil depth. Despite greater nutrients pools under the tree, density, aboveground biomass, belowground biomass, aboveground biomass / belowground biomass ratio and yield of the rice decline by 27.5%, 27.5%, 19.1%, 14.8% and 24.9%, respectively. Like the rice, yield of wheat also declines under the tree. 

Introduction

Agroforestry refers to practices, which deliberately or intentionally mix or retain woody perennials on the crop/animal production systems. It combines elements of agriculture, crops and/ or animals with elements of forestry in production system in a unit of land, either simultaneously or sequentially. The term woody perennials includes tree, shrubs, bushes, palm, bamboos, etc. which in agroforestry context are often referred to as multipurpose trees and shrubs (Wood, 1988). The word deliberate has significance a few trees remaining during the process of land clearance for agriculture is not agroforestry. To qualify as agroforestry, a system should actively promote the woody perennials for a particular purpose, or purposes, on the farm (Bhatt et al., 2001). This land use system is particularly suitable for resource poor marginal farmers became diverse needs are fulfilled by one system with escape routes during natural calamities. In hill agro-ecosystems, agroforestry plays an important role in sustainable resource conservation and food security. It is also used to diversify and intensify farming systems through integration of indigenous tree-crops.

Abstract: The adoption of agroforestry systems has gained wider attention in the Multilateral Environment Agreements (MEA), international academia and policy makers for their multifunctional role and dynamics of ecosystem services. The Convention on Biological Diversity (CBD) has put forward ecosystem approach while Intergovernmental Panel on Climate Change (IPCC) emphasized agroforestry as an appropriate means to reduce emissions and enhance sinks of green house gases. Traditional agroforestry systems such as cardamom-based and farm-based practices are good examples in the Eastern Himalayas. We analyzed the management diversities and functional roles of these agroforestry systems for their productive and protective functions, biodiversity conservation, carbon sequestration, reduction of run-off rainfall, improvement of soil fertility, nutrient dynamics, nutrient release through decomposition, N2-fixation, energetics and efficiencies. Use of N2-fixing Himalayan alder (Alnus nepalensis) in large cardamom (Amomum subulatum) and Albizia spp. in mandarin agroforestry are traditional innovations. The agroforestry systems and practices are examples of how fragile and steep slopes of the mountains are converted into ecologically resilient productive zones. These adaptive traditional agroforestry provide options for sustainable management of natural resources from a unit land use types to a landscape level land use stages and offer opportunities for socioeconomic benefits.

Abstract: Shifting cultivation locally called Jhuming is a part and parcel of tribal life of the North Eastern Hill Region of India and it has direct bearing with their socio-cultural system. It is a boon to the farmers as long as the jhuming cycle is sufficiently longer (10-15 years) as this would not only produce a good crop but also gives sufficient time for ecological restoration and biophysical balance. However, with the increase in population pressure on land the jhuming cycle is getting drastically reduced (3-6 years). As a result of this, soil health is getting degraded and overall ecosystem is in threat. Many important flora and fauna are in the verge of extinction. As we cannot run away from the problem at least thinking about posterity, we have to find a decisive solution immediately. Developing improved methods of jhum cultivation like proper bunding, residue recycling, use of high yielding varieties etc. are few short term options. However long term viable options would be proper land configuration like terraces, water harvesting, agroforestry, adoption of integrated farming system approach and above all education and awareness among the tribal farmers which would help in sustaining the ecosystem of the region.

Abstract: The size of the homegardens ranged between 0.10-1.00 ha; they were located in tropical region with multi-storied structure, commonly containing three layers but sometimes with four layers. Individual households were the sampling units and for each homegarden, the area was measured and crop composition, species richness and uses of plant species was enumerated through direct observation and interviews with the farmers. The composition and richness of species varied between the homegardens but was related to site characteristics and size of the garden. A total of 231 plant species (105 tree species, 50 shrubs and 76 herbs) belonging to 88 families were recorded from the gardens among which 27% species were common to all gardens. Among the trees, as many as 24 species (23%) were common to all the homegardens. The vegetable species constituted the major functional group followed by fruits. Homegardens were found to be a good reservoir of plant genetic resources that preserve diverse landraces, cultivars, and many more ecologically and economically important plant species. Our study depicts that the homegardens can play an important role in food security and sustainable livelihood support of this hilly people in a variety of ways and can be an alternative to shifting cultivation.