{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/97797"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/97797","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Dynamics and drivers of land use land cover changes in Bangladesh","abstract":"Land is scarce in Bangladesh: Bangladesh occupies ~0.03 % of world’s land area, but supports over ~2% of human population. This high population to land ratio, combined with socioeconomic development has placed tremendous pressure on Bangladesh’s land resources for food, feed, and fuel. This study assesses the dynamics of land use land cover changes and its subsequent drivers at national and sub-national scales. We show contemporary spatial estimates of land change in Bangladesh using national-level analysis of Landsat imageries for 2000 and 2010. This analysis uses our newly compiled extensive socioeconomic database which covers ~480 sub-districts along with biophysical data. We also synthesized information from over 80 survey-based case studies on land use drivers in Bangladesh to complement our macro-scale analysis. We present a detailed analysis of contemporary land change both in terms of national extent and the use of detailed spatial information on land change, socioeconomic factors, and synthesis of case studies. Our results showed eight broad land cover types, of which majority is covered by agriculture (~70%), waterbody (rivers and shrimp ponds) (~10%) and forests (~8%). We found that agriculture, forest and mangrove areas showed a decreasing trend while bare soil, shrub land, waterbody and settlement showed an increasing trend. We identified three major land conversion types: agriculture to shrimp ponds, forest to shrub land and shrimp ponds to bare soil, and their hotspot regions at a sub-district level. Based on our analysis, we find both biophysical and socioeconomic variables contributing to the land conversions. We find that conversion of agriculture to shrimp ponds is driven by increasing rate of population, urban household size and rural household number, access to highways and variation in temperature. Drivers related to forest to shrubland conversion include increasing rate of population, access to rivers, highways and cities, and increased rate of precipitation. Lastly, shrimp ponds to bare soil conversion is driven by access to highway, cities and rivers, elevation and increasing rate of precipitation.","abstract_html":"Land is scarce in Bangladesh: Bangladesh occupies ~0.03 % of world’s land area, but supports over ~2% of human population. This high population to land ratio, combined with socioeconomic development has placed tremendous pressure on Bangladesh’s land resources for food, feed, and fuel. This study assesses the dynamics of land use land cover changes and its subsequent drivers at national and sub-national scales. We show contemporary spatial estimates of land change in Bangladesh using national-level analysis of Landsat imageries for 2000 and 2010. This analysis uses our newly compiled extensive socioeconomic database which covers ~480 sub-districts along with biophysical data. We also synthesized information from over 80 survey-based case studies on land use drivers in Bangladesh to complement our macro-scale analysis. We present a detailed analysis of contemporary land change both in terms of national extent and the use of detailed spatial information on land change, socioeconomic factors, and synthesis of case studies. Our results showed eight broad land cover types, of which majority is covered by agriculture (~70%), waterbody (rivers and shrimp ponds) (~10%) and forests (~8%). We found that agriculture, forest and mangrove areas showed a decreasing trend while bare soil, shrub land, waterbody and settlement showed an increasing trend. We identified three major land conversion types: agriculture to shrimp ponds, forest to shrub land and shrimp ponds to bare soil, and their hotspot regions at a sub-district level. Based on our analysis, we find both biophysical and socioeconomic variables contributing to the land conversions. We find that conversion of agriculture to shrimp ponds is driven by increasing rate of population, urban household size and rural household number, access to highways and variation in temperature. Drivers related to forest to shrubland conversion include increasing rate of population, access to rivers, highways and cities, and increased rate of precipitation. Lastly, shrimp ponds to bare soil conversion is driven by access to highway, cities and rivers, elevation and increasing rate of precipitation.","abstract_has_math":false,"creators":["Shrestha, Suravi"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Atmospheric Sciences","degree_department":null,"school":null,"contributors":["Jain, Atul K."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-08-10T20:33:29Z","date_published":"2017-08-10T20:33:29Z","updated_at":"2026-07-22T22:24:34Z","subjects":["Bangladesh","Land use land cover change","Agriculture","Shrimp farming","Forest","Socioeconomic factors","Dynamics","Drivers"],"languages":["en"],"rights":["Copyright 2017 Suravi Shrestha"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/97797","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Jain, Atul K."]},{"key":"dc:creator","label":"Author","values":["Shrestha, Suravi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2017-08-10T20:33:29Z","2019-08-11T09:15:28Z","2017-04-27","2017-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Atmospheric Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Bangladesh","Land use land cover change","Agriculture","Shrimp farming","Forest","Socioeconomic factors","Dynamics","Drivers"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2017 Suravi Shrestha"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/97797"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Land is scarce in Bangladesh: Bangladesh occupies ~0.03 % of world’s land area, but supports over ~2% of human population. This high population to land ratio, combined with socioeconomic development has placed tremendous pressure on Bangladesh’s land resources for food, feed, and fuel. This study assesses the dynamics of land use land cover changes and its subsequent drivers at national and sub-national scales. We show contemporary spatial estimates of land change in Bangladesh using national-level analysis of Landsat imageries for 2000 and 2010. This analysis uses our newly compiled extensive socioeconomic database which covers ~480 sub-districts along with biophysical data. We also synthesized information from over 80 survey-based case studies on land use drivers in Bangladesh to complement our macro-scale analysis. We present a detailed analysis of contemporary land change both in terms of national extent and the use of detailed spatial information on land change, socioeconomic factors, and synthesis of case studies. Our results showed eight broad land cover types, of which majority is covered by agriculture (~70%), waterbody (rivers and shrimp ponds) (~10%) and forests (~8%). We found that agriculture, forest and mangrove areas showed a decreasing trend while bare soil, shrub land, waterbody and settlement showed an increasing trend. We identified three major land conversion types: agriculture to shrimp ponds, forest to shrub land and shrimp ponds to bare soil, and their hotspot regions at a sub-district level. Based on our analysis, we find both biophysical and socioeconomic variables contributing to the land conversions. We find that conversion of agriculture to shrimp ponds is driven by increasing rate of population, urban household size and rural household number, access to highways and variation in temperature. Drivers related to forest to shrubland conversion include increasing rate of population, access to rivers, highways and cities, and increased rate of precipitation. Lastly, shrimp ponds to bare soil conversion is driven by access to highway, cities and rivers, elevation and increasing rate of precipitation.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-05-01","The student, Suravi Shrestha, accepted the attached license on 2017-04-27 at 10:07.","The student, Suravi Shrestha, submitted this Thesis for approval on 2017-04-27 at 10:12.","This Thesis was approved for publication on 2017-04-27 at 18:07.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11108 on 2017-08-10 at 15:07:12","Made available in DSpace on 2017-08-10T20:33:29Z (GMT). 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This high population to land ratio, combined with socioeconomic development has placed tremendous pressure on Bangladesh’s land resources for food, feed, and fuel. This study assesses the dynamics of land use land cover changes and its subsequent drivers at national and sub-national scales. We show contemporary spatial estimates of land change in Bangladesh using national-level analysis of Landsat imageries for 2000 and 2010. This analysis uses our newly compiled extensive socioeconomic database which covers ~480 sub-districts along with biophysical data. We also synthesized information from over 80 survey-based case studies on land use drivers in Bangladesh to complement our macro-scale analysis. We present a detailed analysis of contemporary land change both in terms of national extent and the use of detailed spatial information on land change, socioeconomic factors, and synthesis of case studies. Our results showed eight broad land cover types, of which majority is covered by agriculture (~70%), waterbody (rivers and shrimp ponds) (~10%) and forests (~8%). We found that agriculture, forest and mangrove areas showed a decreasing trend while bare soil, shrub land, waterbody and settlement showed an increasing trend. We identified three major land conversion types: agriculture to shrimp ponds, forest to shrub land and shrimp ponds to bare soil, and their hotspot regions at a sub-district level. Based on our analysis, we find both biophysical and socioeconomic variables contributing to the land conversions. We find that conversion of agriculture to shrimp ponds is driven by increasing rate of population, urban household size and rural household number, access to highways and variation in temperature. Drivers related to forest to shrubland conversion include increasing rate of population, access to rivers, highways and cities, and increased rate of precipitation. Lastly, shrimp ponds to bare soil conversion is driven by access to highway, cities and rivers, elevation and increasing rate of precipitation.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-05-01","The student, Suravi Shrestha, accepted the attached license on 2017-04-27 at 10:07.","The student, Suravi Shrestha, submitted this Thesis for approval on 2017-04-27 at 10:12.","This Thesis was approved for publication on 2017-04-27 at 18:07.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11108 on 2017-08-10 at 15:07:12","Made available in DSpace on 2017-08-10T20:33:29Z (GMT). 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