scholarly journals Impact of Land Use Change on Climate: A Study of Tripura

Author(s):  
Vipin Solanki ◽  
Aparna Joshi

Land use is the human utilization for money, private, recreational, conservational and administrative purposes. The idea of land use is firmly interwoven with human network advancement. Examples of human turn of events and land use have molded the earth legitimately and internationally since ancient occasions. Current improvement designs, along with highlights of the common habitat and the outcomes of past advancement exercises, decide future advancement openings, and furthermore the requirement for rebuilding or upgrade of natural assets. North-east India is the abode of highly endemic flora and fauna preserving the pristine environment with little human interference until recent times. However, for past two decades a drastic change in the land use pattern in the region has been observed which may threaten the fragile ecological balance of the region. Tripura, known as one of the seven sisters, is a bamboo resource and second largest rubber producer in India. Tripura has the highest number of primate species found in any Indian state. However, as compared to its other sisters, the state is economically backward. The land use of the state is undergoing rapid change which is facilitated to a great extent by rapidly increasing population. The present paper deals with the changing land use of Tripura especially in the last two and a half decades. The objective of the study is to analyse the changing land use of the state in general and changes in agricultural and non-agricultural land use in particular based upon the data collected from secondary sources like Statistical Abstract of Tripura, Population Tables of Census 1991, 2001 and 2011 along with the information collected from various government websites.

Author(s):  
Bijoy K. Handique ◽  
Siraj A. Khan ◽  
Prafulla Dutta ◽  
Manash J. Nath ◽  
Abdul Qadir ◽  
...  

Malaria is endemic and a major public health problem in north east (NE) region of India and contributes about 8-12&thinsp;% of India's malaria positives cases. Historical morbidity pattern of malaria in terms of API (Annual Parasite Incidence) in the state of Assam has been used for delineating the malaria incidence hotspots at health sub centre (HSC) level. Strong spatial autocorrelation (p&thinsp;<&thinsp;0.01) among the HSCs have been observed in terms of API (Annual Parasite Incidence). Malaria incidence hot spots in the state could be identified based on General G statistics and tested for statistical significance. Spatial correlation of malaria incidence hotspots with physiographic and climatic parameters across 6 agro-climatic zones of the state reveals the types of land cover pattern and the range of elevation contributing to the malaria outbreaks. Analysis shows that villages under malaria hotspots are having more agricultural land, evergreen/semi-evergreen forests with abundant waterbodies. Statistical and spatial analyses of malaria incidence showed a significant positive correlation with malaria incidence hotspots and the elevation (p&thinsp;<&thinsp;0.05) with villages under malaria hotspots are having average elevation ranging between 17 to 240 MSL. This conforms to the characteristics of two dominant mosquito species in the state <i>Anopheles minimus</i> and <i>An. baimai</i> that prefers the habitat of slow flowing streams in the foot hills and in forest ecosystems respectively.


Author(s):  
Bijoy K. Handique ◽  
Siraj A. Khan ◽  
Prafulla Dutta ◽  
Manash J. Nath ◽  
Abdul Qadir ◽  
...  

Malaria is endemic and a major public health problem in north east (NE) region of India and contributes about 8-12&thinsp;% of India's malaria positives cases. Historical morbidity pattern of malaria in terms of API (Annual Parasite Incidence) in the state of Assam has been used for delineating the malaria incidence hotspots at health sub centre (HSC) level. Strong spatial autocorrelation (p&thinsp;&lt;&thinsp;0.01) among the HSCs have been observed in terms of API (Annual Parasite Incidence). Malaria incidence hot spots in the state could be identified based on General G statistics and tested for statistical significance. Spatial correlation of malaria incidence hotspots with physiographic and climatic parameters across 6 agro-climatic zones of the state reveals the types of land cover pattern and the range of elevation contributing to the malaria outbreaks. Analysis shows that villages under malaria hotspots are having more agricultural land, evergreen/semi-evergreen forests with abundant waterbodies. Statistical and spatial analyses of malaria incidence showed a significant positive correlation with malaria incidence hotspots and the elevation (p&thinsp;&lt;&thinsp;0.05) with villages under malaria hotspots are having average elevation ranging between 17 to 240 MSL. This conforms to the characteristics of two dominant mosquito species in the state &lt;i&gt;Anopheles minimus&lt;/i&gt; and &lt;i&gt;An. baimai&lt;/i&gt; that prefers the habitat of slow flowing streams in the foot hills and in forest ecosystems respectively.


Zootaxa ◽  
2021 ◽  
Vol 5072 (5) ◽  
pp. 493-500
Author(s):  
ASHOK KUMAR MEENA ◽  
RAJAMANI SWAMINATHAN ◽  
RAJENDRA NAGAR ◽  
GAURANG CHHANGANI ◽  
KULDEEP KUMAR

In the present paper, we report the occurrence of the cricket subgenus Gryllitara Chopard, 1931 from India along with the description of a new species, Itara (Gryllitara) pilosa sp. nov., from the state of Kerala, South India. Suitable plates with close-up details have been presented to describe the new species, as well as for Itara (Itara) vietnamensis Gorochov being reported from North East India.  


Author(s):  
MS Hosain ◽  
MW Islam

The study aims to explore the prospects and retrospects of land use system through agroforestry practices in Meherpur district, Bangladesh. It particularly focuses on some aspects of land uses of the study area like land use pattern, land ownership, choices of species for agroforestry, farmers’ perceptions towards agroforestry, status and prospects of agroforestry practices. This study was carried out by using mixed method followed by a semi-structure questionnaire. A total of 100 respondents were selected by using snowball purposive sampling method. The study revealed that agriculture was the major occupation (50%) of the selected respondents. Of the total land used by selected respondents, 21% land were used for agroforestry, 69% for agriculture and remaining 10% for homestead purposes. Most of the farmers (60%) were small landholders (1 to 5 acres) and 18% had lesser than 1 acre land. Among them 76% had their own land followed by 8% leased land and 16% both own and leased land. They preferred agroforestry in their homestead (92%), agricultural land (65%), water body (31%) and fallow land (18%). The farmers were practicing different types of agroforestry such as cropland, homestead and aquaculture with boundary plantation by mixing trees, agricultural crops and vegetables in their farmlands to receive diversified outcomes. A remarkable change in land use pattern was found after adopting agroforestry practices in this study area. Maximum respondents practiced agro-forestry in their homestead and croplands. Most of the land (67%) was used for agriculture cultivation while a very small amount of land was used as agroforestry in the study area.Int. J. Agril. Res. Innov. & Tech. 7 (2): 1-6, December, 2017


2012 ◽  
Vol 42 (3) ◽  
pp. 365-373 ◽  
Author(s):  
Amos Teo

Sumi (also known by its exonym ‘Sema’) is a Tibeto-Burman language spoken in Nagaland, North-east India. It is one of the major languages of the state, with an estimated 242,000 speakers living primarily in Zunheboto district, as well as in the major cities of Kohima and Dimapur. Bradley (1997) places Sumi (referred to as Sema), among the ‘Southern Naga’ languages, which include Angami (also known as Tenyidie) and Ao, in contrast to the ‘Northern Naga’ languages such as Konyak and Nocte. Burling (2003) offers a more conservative classification, placing Sumi (referred to as Simi) in an ‘Angami-Pochuri’ group containing Angami, Chakhesang (Chokri and Kheza) and Mao. Four main dialects of Sumi have been identified: the Western dialect, the Eastern dialect, the Chizolimi dialect, and the Central dialect. The Central dialect is the standard dialect used in published works of Sumi (Sreedhar 1976: 4–5).


2014 ◽  
Vol 8 ◽  
pp. 21-30 ◽  
Author(s):  
Md Abdul Halim ◽  
Md Mizanoor Rahman ◽  
Md Zahidul Hassan

Bangladesh is a land scarce country where per capita cultivated land is only 12.5 decimals. It is claimed that every year about one percent of farm land in the country is being converted to non-agricultural uses. The study is based mainly on field survey covering 2 villages (Narikel Baria and Baze Silinda) from 10 sub-urban villages around Rajshahi City Corporation under Paba Upazila of Rajshahi district. The study area was selected purposively and the respondents of this research work were selected randomly. The major focus was on to mention the general land use pattern of the area, estimates the agricultural land conversion besides determining the causes and consequences affecting such conversion. Both Narikel Baria and Baze Silinda villages were selected as study area because of its relatively higher growth in infrastructure. In order to fulfill the goal of this study, primary and secondary data were collected from various sources and to analyze and process of collected data the SPSS, Excel and Arc GIS software were used. Different types of descriptive statistics were applied for representing the analyzed data. It is observed that the land conversion form agriculture to non-agriculture allied in recent time is more than the previous time due to gradually increasing land demand in housing and relevant services which invites adverse impact on agricultural land as well as its dependent population. So, it is necessary to take integrated land-use planning to offer better options for the fulfillment of land demand both of housing and agricultural sectors. DOI: http://dx.doi.org/10.3329/jles.v8i0.20136 J. Life Earth Sci., Vol. 8: 21-30, 2013


2020 ◽  
Vol 39 (2) ◽  
pp. 159-173
Author(s):  
Rastislav Skalský ◽  
Štefan Koco ◽  
Gabriela Barančíková ◽  
Zuzana Tarasovičová ◽  
Ján Halas ◽  
...  

AbstractSoil organic carbon (SOC) in agricultural land forms part of the global terrestrial carbon cycle and it affects atmospheric carbon dioxide balance. SOC is sensitive to local agricultural management practices that sum up into regional SOC storage dynamics. Understanding regional carbon emission and sequestration trends is, therefore, important in formulating and implementing climate change adaptation and mitigation policies. In this study, the estimation of SOC stock and regional storage dynamics in the Ondavská Vrchovina region (North-Eastern Slovakia) cropland and grassland topsoil between 1970 and 2013 was performed with the RothC model and gridded spatial data on weather, initial SOC stock and historical land cover and land use changes. Initial SOC stock in the 0.3-m topsoil layer was estimated at 38.4 t ha−1 in 1970. The 2013 simulated value was 49.2 t ha−1, and the 1993–2013 simulated SOC stock values were within the measured data range. The total SOC storage in the study area, cropland and grassland areas, was 4.21 Mt in 1970 and 5.16 Mt in 2013, and this 0.95 Mt net SOC gain was attributed to inter-conversions of cropland and grassland areas between 1970 and 2013, which caused different organic carbon inputs to the soil during the simulation period with a strong effect on SOC stock temporal dynamics.


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