Forest Conversion to Urban and Suburban Land Use

2007 ◽  
pp. 215-256
Keyword(s):  
Land Use ◽  
Forest Conversion

scholarly journals ALTERAÇÃO NA COBERTURA FLORESTAL DA REGIÃO NOROESTE DA AMAZÔNIA MATOGROSSENSE

Nativa ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 520
Author(s):  
Luani Rosa de Oliveira Piva ◽  
Rorai Pereira Martins Neto
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Forest Cover ◽  
Forest Conversion ◽  
Landsat 8 ◽  
Amazon Forest ◽  
Landsat 8 Oli ◽  
Mato Grosso ◽  
The Past ◽  
Landsat 5 Tm

Nos últimos anos, a intensificação das atividades antrópicas modificadoras da cobertura vegetal do solo em território brasileiro vem ocorrendo em larga escala. Para fins de monitoramento das alterações da cobertura florestal, as técnicas de Sensoriamento Remoto da vegetação são ferramentas imprescindíveis, principalmente em áreas extensas e de difícil acesso, como é o caso da Amazônia brasileira. Neste sentido, objetivou-se com este trabalho identificar as mudanças no uso e cobertura do solo no período de 20 anos nos municípios de Aripuanã e Rondolândia, Noroeste do Mato Grosso, visando quantificar as áreas efetivas que sofreram alterações. Para tal, foram utilizadas técnicas de classificação digital de imagens Landsat 5 TM e Landsat 8 OLI em três diferentes datas (1995, 2005 e 2015) e, posteriormente, realizada a detecção de mudanças para o uso e cobertura do solo. A classificação digital apresentou resultados excelentes, com índice Kappa acima de 0,80 para os mapas gerados, indicando ser uma ferramenta potencial para o uso e cobertura do solo. Os resultados denotaram uma conversão de áreas florestais principalmente para atividades antrópicas agrícolas, na ordem de 472 km², o que representa uma perda de 1,3% de superfície de floresta amazônica na região de estudo.Palavras-chave: conversão de áreas florestais; uso e cobertura do solo; classificação digital; análise multitemporal. CHANGE IN FOREST COVER OF THE NORTHWEST REGION OF AMAZON IN MATO GROSSO STATE ABSTRACT: In the past few years, the intensification of anthropic activities that modify the soil-vegetation cover in Brazil’s land has been occurring on a large scale. To monitor the forest cover changes, the techniques of Remote Sensing of vegetation are essential tools, especially in large areas and with difficult access, as is the case of the Brazilian Amazon. The aim of this work was to identify the changes in land use and land cover, over the past 20 years, in the municipalities of Aripuanã and Rondolândia, Northwest of Mato Grosso State, in order to quantify the effective altered areas. Landsat 5 TM and Landsat 8 OLI digital classification images techniques were used in three different dates (1995, 2005 and 2015) and, later, the detection to the land use and land cover changes. The digital classification showed excellent results, with kappa index above 0.80 for the generated maps, indicating the digital classification as a potential tool for land use and land cover. Results reflect the conversion of forest areas mainly for agricultural activities, in the order of 472 km², representing a loss of 1.3% of Amazon forest surface in the study region.Keywords: forest conversion; land use and land cover; digital classification; multitemporal analysis.

scholarly journals Perubahan Penggunaan Lahan Di Provinsi Lampung Dan Pengaruhnya Terhadap Insidensi Demam Berdarah Dengue (DBD)

2016 ◽  
Vol 4 (3) ◽  
pp. 35
Author(s):  
Agustin Arisandi Mustika ◽  
Samsul Bakri ◽  
Dyah Wulan S. R. Wardani
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Land Use Changes ◽  
Hemorrhagic Fever ◽  
Forest Area ◽  
Primary Data ◽  
Forest Conversion ◽  
Housing Conditions ◽  
Poverty Level ◽  
The Impact

The conversion of forest area into non-forest area generally can causing the ecology and micro climate change especially rainfall.   The impact of these changes in other side can increasing the probability in occurrence of vector-born disease such as Aedes aegypti mosquito couse of Dengue Hemorrhagic Fever (DHF).   Besides of environmental factors, poverty level, rainfall, and housing conditions the suspected also affect the incidence of dengue.  This research aimed to determine of changes in forest cover and land, poverty level, and housing conditions as well as the impact to the incidence of dengue fever in Lampung. Data collected included primary data of land use changes of Lampung Province and the secondary  data  such  as  the  data  of  precipitation  rapid,  poverty  level,  healthy  house proportion and Incidence Rate of dengue.  The dynamic of changes in forest cover and landper distric/city identified through by Landsat image interpretation 5, 7 and 8  in 2002, 2009 and 2014.   While the impact on DHF analyzed using multiple linear models.   The results showed that there was a significant relationship between the changes of the people forest cover   -1,2634   (p=0,001),   intensive   agricultural   0,5315   (p=0,016),   the   number   of precipitation rapid 0,06869 (p=0,087) and the poverty level -0,2213 (p=0,038) and urbanism region in the towns and villages 28,75 (p=0,010) toward the incidence of dengue in Lampung from the year 2003 to 2014.  Based on the reseacrh result that the goverment should be able to increase the percentage of forest area cause able to decrease the incidence DHF. Keyword: forest conversion, incidence DHF, land use changes

scholarly journals Reviews and syntheses: Soil N<sub>2</sub>O and NO emissions from land use and land-use change in the tropics and subtropics: a meta-analysis

2015 ◽  
Vol 12 (23) ◽  
pp. 7299-7313 ◽  
Author(s):  
J. van Lent ◽  
K. Hergoualc'h ◽  
L. V. Verchot
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Nitrogen Availability ◽  
Meta Analysis ◽  
Forest Conversion ◽  
N2o Emissions ◽  
Emission Rates ◽  
Soil N ◽  
The Tropics ◽  
No Emissions

Abstract. Deforestation and forest degradation in the tropics may substantially alter soil N-oxide emissions. It is particularly relevant to accurately quantify those changes to properly account for them in a REDD+ climate change mitigation scheme that provides financial incentives to reduce the emissions. With this study we provide updated land use (LU)-based emission rates (104 studies, 392 N2O and 111 NO case studies), we determine the trend and magnitude of flux changes with land-use change (LUC) using a meta-analysis approach (44 studies, 135 N2O and 37 NO cases) and evaluate biophysical drivers of N2O and NO emissions and emission changes for the tropics. The average N2O and NO emissions in intact upland tropical forest amounted to 2.0 ± 0.2 (n = 90) and 1.7 ± 0.5 (n = 36) kg N ha−1 yr−1, respectively. In agricultural soils annual N2O emissions were exponentially related to N fertilization rates and average water-filled pore space (WFPS) whereas in non-agricultural sites a Gaussian response to WFPS fit better with the observed NO and N2O emissions. The sum of soil N2O and NO fluxes and the ratio of N2O to NO increased exponentially and significantly with increasing nitrogen availability (expressed as NO3− / [NO3−+NH4+]) and WFPS, respectively; following the conceptual Hole-In-the-Pipe model. Nitrous and nitric oxide fluxes did not increase significantly overall as a result of LUC (Hedges's d of 0.11 ± 0.11 and 0.16 ± 0.19, respectively), however individual LUC trajectories or practices did. Nitrous oxide fluxes increased significantly after intact upland forest conversion to croplands (Hedges's d = 0.78 ± 0.24) and NO increased significantly following the conversion of low forest cover (secondary forest younger than 30 years, woodlands, shrublands) (Hedges's d of 0.44 ± 0.13). Forest conversion to fertilized systems significantly and highly raised both N2O and NO emission rates (Hedges's d of 1.03 ± 0.23 and 0.52 ± 0.09, respectively). Changes in nitrogen availability and WFPS were the main factors explaining changes in N2O emissions following LUC, therefore it is important that experimental designs monitor their spatio-temporal variation. Gaps in the literature on N oxide fluxes included geographical gaps (Africa, Oceania) and LU gaps (degraded forest, wetland (notably peat) forest, oil palm plantation and soy cultivation).

scholarly journals Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine

2020 ◽  
Vol 12 (17) ◽  
pp. 2735 ◽  
Author(s):  
Carlos M. Souza ◽  
Julia Z. Shimbo ◽  
Marcos R. Rosa ◽  
Leandro L. Parente ◽  
Ane A. Alencar ◽  
...  
Keyword(s):  
Land Use ◽  
Time Series ◽  
Land Cover ◽  
Time Series Data ◽  
Google Earth ◽  
Series Data ◽  
Data Series ◽  
Forest Conversion ◽  
Pixel Resolution ◽  
Historical Land Use

Brazil has a monitoring system to track annual forest conversion in the Amazon and most recently to monitor the Cerrado biome. However, there is still a gap of annual land use and land cover (LULC) information in all Brazilian biomes in the country. Existing countrywide efforts to map land use and land cover lack regularly updates and high spatial resolution time-series data to better understand historical land use and land cover dynamics, and the subsequent impacts in the country biomes. In this study, we described a novel approach and the results achieved by a multi-disciplinary network called MapBiomas to reconstruct annual land use and land cover information between 1985 and 2017 for Brazil, based on random forest applied to Landsat archive using Google Earth Engine. We mapped five major classes: forest, non-forest natural formation, farming, non-vegetated areas, and water. These classes were broken into two sub-classification levels leading to the most comprehensive and detailed mapping for the country at a 30 m pixel resolution. The average overall accuracy of the land use and land cover time-series, based on a stratified random sample of 75,000 pixel locations, was 89% ranging from 73 to 95% in the biomes. The 33 years of LULC change data series revealed that Brazil lost 71 Mha of natural vegetation, mostly to cattle ranching and agriculture activities. Pasture expanded by 46% from 1985 to 2017, and agriculture by 172%, mostly replacing old pasture fields. We also identified that 86 Mha of the converted native vegetation was undergoing some level of regrowth. Several applications of the MapBiomas dataset are underway, suggesting that reconstructing historical land use and land cover change maps is useful for advancing the science and to guide social, economic and environmental policy decision-making processes in Brazil.

Interface Urban Forest Management in an Urbanizing Landscape

2020 ◽  
Author(s):  
Maria A. Cunha-e-Sá ◽  
Sofia F. Franco
Keyword(s):  
Land Use ◽  
Forest Management ◽  
Urban Areas ◽  
Urban Forest ◽  
Urban Forestry ◽  
Comparative Statics ◽  
Forest Conversion ◽  
Timber Production ◽  
Land Uses ◽  
Clear Cutting

Although forests located near urban areas are a small fraction of the forest cover, a good understanding of the extent to which —wildland-urban interface (WUI) forest conversion affects local economies and environmental services can help policy-makers harmonize urban development and environmental preservation at this interface, with positive impact on the welfare of local communities. A growing part of the forest resource worldwide has come under urban influence, both directly (i.e., becoming incorporated into the interface or located at the interface with urban areas) and indirectly (as urban uses and values have come to dominate more remote forest areas). Yet forestry has been rather hesitant to recognize its urban mandate. Even if the decision to convert land at the WUI (agriculture, fruit, timber, or rural use) into an alternative use (residential and commercial development) is conditional on the relative magnitude and timing of the returns of alternative land uses, urban forestry is still firmly rooted in the same basic concepts of traditional forestry. This in turn neglects features characterizing this type of forestland, such as the urban influences from increasingly land-consumptive development patterns. Moreover, interface timber production-allocated land provides public goods that otherwise would be permanently lost if land were converted to an irreversible use. Any framework discussing WUI optimal rotation periods and conversion dates should then incorporate the urban dimension in the forester problem. It must reflect the factors that influence both urban and forestry uses and account for the fact that some types of land use conversion are irreversible. The goal is to present a framework that serves as a first step in explaining the trends in the use and management of private land for timber production in an urbanizing environment. Our framework integrates different land uses to understand two questions: given that most of the WUI land use change is irreversible and forestry at this interface differs from classic forestry, how does urban forestry build upon and benefit from traditional forestry concepts and approaches? In particular, what are the implications for the Faustmann harvesting strategy when conversion to an irreversible land use occurs at some point in the future? The article begins with a short background on the worldwide trend of forestland conversion at the WUI, focusing mostly on the case of developed countries. This provides a context for the theoretical framework used in the subsequent analysis of how urban factors affect regeneration and conversion dates. The article further reviews theoretical models of forest management practices that have considered either land sale following clear-cutting or a switch to a more profitable alternative land use without selling the land. A brief discussion on the studies with a generalization of the classic Faustmann formula for land expectation value is also included. For completeness, comparative statics results and a numerical illustration of the main findings from the private landowner framework are included.

scholarly journals Costs and Carbon Sequestration Assessment for REDD+ in Indonesia

Forests ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 770
Author(s):  
Guifang Liu ◽  
Qing Liu ◽  
Mengxiao Song ◽  
Junsheng Chen ◽  
Chuanrong Zhang ◽  
...  
Keyword(s):  
Land Use ◽  
Carbon Sequestration ◽  
Carbon Emissions ◽  
Oil Palm ◽  
Forest Degradation ◽  
Opportunity Costs ◽  
Forest Conversion ◽  
Tropical Regions ◽  
Sensitivity Assessment ◽  
Gain Loss

Research Highlights: Our findings highlight that the contribution of carbon sequestration from plantations to REDD+ will remain limited, and that opportunity costs in Southeast Asia will likely increase, due to future oil palm expansion. Background and Objectives: Land use, land-use change, and forestry (LULUCF) are significant sources of carbon emissions. The United Nations Framework Convention on Climate Change (UNFCCC) agreed that the Reducing Emissions from Deforestation and Forest Degradation Plus program, also known as REDD+, could contribute to carbon sinks in tropical regions. These reductions could serve as carbon credits that offset emissions from other sources. Materials and Methods: This study uses the cellular automaton technique to simulate the business-as-usual (BAU) scenario and the gain-loss method, to measure carbon emissions resulting from forest conversion. The output of the integration of the models makes it possible to evaluate one of the most important financial costs: opportunity costs. Two scenarios (with and without consideration of carbon sequestration) in rubber and oil palm plantations are examined. Results: A sensitivity assessment in Kalimantan, Indonesia, shows that carbon sequestration from plantations affects value of opportunity costs less than social discount rates. Further analysis suggests that oil palm plantations have a greater impact than rubber plantations. Conclusions: Our study provides a case that can be applied to other regions for evaluating the impacts of plantation carbon sequestration, and insights that can help local policymakers design a financially attractive REDD+ program in other forest areas of the world.

scholarly journals Land Use Land Cover Changes and Their Effects on Surface Air Temperature in Myanmar and Thailand

2021 ◽  
Vol 13 (19) ◽  
pp. 10942
Author(s):  
Khun La Yaung ◽  
Amnat Chidthaisong ◽  
Atsamon Limsakul ◽  
Pariwate Varnakovida ◽  
Can Trong Nguyen
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Cover ◽  
Air Temperature ◽  
Surface Air Temperature ◽  
Forest Conversion ◽  
Land Use Land Cover ◽  
Forest Land ◽  
Lulc Changes ◽  
Average Maximum

Land use land cover (LULC) change is one of the main drivers contributing to global climate change. It alters surface hydrology and energy balance between the land surface and atmosphere. However, its impacts on surface air temperature have not been well understood in a dynamic region of LULC changes like Southeast Asia (SEA). This study quantitatively examined the contribution of LULC changes to temperature trends in Myanmar and Thailand as the typical parts of SEA during 1990–2019 using the “observation minus reanalysis” (OMR) method. Overall, the average maximum, mean, and minimum temperatures obtained from OMR trends indicate significant warming trends of 0.17 °C/10a, 0.20 °C/10a, and 0.42 °C/10a, respectively. The rates of minimum temperature increase were larger than maximum and mean temperatures. The decreases of forest land and cropland, and the expansions of settlements land fractions were strongly correlated with the observed warming trends. It was found that the effects of forest land converted to settlement land on warming were higher than forest conversion to cropland. A comprehensive discussion on this study could provide scientific information for the future development of more sustainable land use planning to mitigate and adapt to climate change at the local and national levels.

scholarly journals Land use/land cover change prediction in Dak Nong Province based on remote sensing and Markov Chain Model and Cellular Automata

2018 ◽  
Vol 9 (3) ◽  
pp. 132-140 ◽  
Author(s):  
Thi Thanh Huong Nguyen ◽  
Thi Thuy Phuong Ngo
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Cover ◽  
Satellite Images ◽  
Residential Area ◽  
Forest Conversion ◽  
Chain Model ◽  
Changes Over Time ◽  
Spot 5 ◽  
Over Time

Land use and land cover changes (LULCC) including deforestation for agricultural land and others are elements that contribute on global environmental change. Therefore, understanding a trend of these changes in the past, current, and future is important for making proper decisions to develop in a sustainable way. This study analyzed land use and land cover (LULC) changes over time for Tuy Duc district belonging to Dak Nong province based on LULC maps classified from a set of multi-date satellite images captured in year 2003, 2006, 2009, and 2013 (SPOT 5 satellite images). The LULC spatio-temporal changes in the area were classified as perennial agriculture, cropland, residential area, grassland, natural forest, plantation and water surface. Based on these changes over time, potential LULC in 2023 was predicted using Cellular Automata (CA)–Markov model. The predicted results of the change in LULC in 2023 reveal that the total area of forest will lose 9,031ha accounting of 50% in total area of the changes. This may be mainly caused by converting forest cover to agriculture (account for 28%), grassland (12%) and residential area (9%). The findings suggest that the forest conversion needs to be controlled and well managed, and a reasonable land use plan should be developed in a harmonization way with forest resources conservation. Thay đổi sử dụng đất và thảm phủ (LULCC) bao gồm cả việc phá rừng để phát triển nông nghiệp và vì các mục đích khác là tác nhân đóng góp vào biến đổi môi trường toàn cầu. Vì vậy hiểu biết về khuynh hướng của sự thay đổi này trong quá khứ, hiện tại và tương lai là quan trọng để đưa ra những quyết định dúng đắn để phát triển bền vững. Nghiên cứu đã phân tích LULCC trong thời gian qua dựa vào các bản đồ sử dụng đất và thảm phủ (LULC) đã được phân loại từ một loạt ảnh vệ tinh đa phổ được thu chụp vào năm 2003, 2006, 2009 (ảnh SPOT 5). Những thay đổi LULC theo thời gian và không gian trong khu vực được phân loại thành đất nông nghiệp với cây dài ngày, cây ngắn ngày, thổ cư, trảng cỏ cây bụi, rừng tự nhiên, rừng trồng và mặt nước. Dựa trên sự thay đổi này theo thời gian, LULC tiềm năng cho năm 2023 đã được dự báo bằng cách sử dụng mô hình CA-Markov. Kết quả dự báo LULCC năm 2023 đã cho thấy tổng diện tích rừng bị mất khoảng 9,031 ha chiếm 50% trong tổng số diện tích thay đổi. Điều này chủ yếu là do chuyển đổi từ rừng tự nhiên sang canh tác nông nghiệp (chiếm 28%), trảng cỏ cây bụi (12%) và khu dân cư (9%). Kết quả cho thấy việc chuyển đổi rừng cần phải được kiểm soát và quản lý tốt và một kế hoạch sử dụng đất hợp lý cần được xây dựng trong sự hài hòa với bảo tồn tài nguyên rừng.

scholarly journals Konversi Hutan Menjadi Lahan Usahatani Karet dan Kelapa Sawit serta Pengaruhnya terhadap Aliran Permukaan dan Erosi Tanah di DAS Batang Pelepat

2008 ◽  
Vol 13 (3) ◽  
pp. 253-260 ◽  
Author(s):  
. Sunarti ◽  
Naik Sinukaban ◽  
Bunasor Sanim ◽  
Suria Darma Tarigan
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Palm Oil ◽  
Secondary Forest ◽  
Block Design ◽  
Forest Conversion ◽  
Land Use Type ◽  
Watershed Area ◽  
Run Off ◽  
Block Data

Forest conversion to some land use happened in all watershed, includes Batang Pelepat watershed. The objectives of this research are to know effect of forest conversion to land of rubber (Hevea brasiliensis) and palm oil (Elaeis guinensis Jack) farming on run off and soil erosion and different of erosion rate on agro technology of rubber and palm oil farming in Batang Pelepat watershed. The research was carried out during 3 months, begin October to December 2006. Run off and soil erosion measured plot with gutter in the lower of plot. Experimental design for this research is randomized complete block design, with land use type as treatment and slope class as replication or block. Data analyzed statistically by variance analysis (F-test) and Duncan New Multiple Range Test on confidence 95% (α = 0.05). The results of this research show that area of forest coverage in Batang Pelepat watershed was decreasing. In 1986 this area still 94,50% of watershed area, but in 1994 area of forest only 78,17% and in 2006 forest area 64,20% of watershed area. Forest conversion was carried out to land of rubber and palm oil farming with some actual agro technologies. Land of monoculture rubber I resulted the highest run off and soil erosion more than the other land use type and showed different of run off and soil erosion on land of secondary forest. 

scholarly journals Konflik Tata Ruang Kehutanan Dengan Tata Ruang Wilayah (Studi Kasus Penggunaan Kawasan Hutan Tidak Prosedural Untuk Perkebunan Sawit Provinsi Kalimantan Tengah)

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Eko N Setiawan ◽  
Ahmad Maryudi ◽  
Ris H Purwanto ◽  
Gabriel Lele
Keyword(s):  
Land Use ◽  
Oil Palm ◽  
Spatial Planning ◽  
Forest Area ◽  
Forest Conversion ◽  
Spatial Integration ◽  
Central Kalimantan ◽  
Government Administration ◽  
The Government ◽  
Spatial Plan

AbstractLaw No. 26 Year 2007 on Spatial Planning (UUPR) mandated that all levels of government administration, ranging from the national, provincial, district/ city are obligated to prepare Spatial Plan (RTR). Until 2012, Central Kalimantan is one of the provinces which have not completed its Spatial Plan; one of the reasons was the lack of spatial integration of forestry spatial planning and provincial spatial planning of Central Kalimantan.The absence of spatial integration of forestry and provincial spatial planning of Central Kalimantan has the implication in triggering conflicts of land use. Forest areas were converted into oil palm plantations without any official procedures. There are 282 units of oil palm companies, occupying 3.9 millions hectares of forest area, with non-procedural procedures to convert forest area into oil palm plantation.To resolve this problem, the Government has revised the regulation of forest conversion by issuing PP No. 60/2012, provides opportunities for oil palm plantations, which under the Law of Forestry located in forest area but based on RTRWP of Central Kalimantan lies on APL or cultivation area, given the opportunity to re-apply the permit/license.  IntisariUndang- Undang No. 26 Tahun 2007 tentang Penataan Ruang (UUPR) mengamanatkan bahwa semua tingkatan administrasi pemerintahan, mulai dari nasional, provinsi, kabupaten/kota diwajibkan menyusun Rencana Tata Ruang (RTR). Kalimantan Tengah sampai dengan tahun 2012 merupakan salah satu Provinsi yang belum menyelesaikan Tata Ruang, salah satu penyebabnya karena belum adanya padu serasi antara tata ruang kehutanan dengan tata ruang Provinsi Kalimantan Tengah.Implikasi dari tidak adanya padu serasi antara tata ruang kehutanan dengan tata ruang provinsi Kalimantan Tengah adalah terjadinya konflik dalam penggunaan ruang, dimana terjadi penggunaan kawasan hutan tidak prosedural untuk perkebunan sawit di dalam kawasan hutan di Provinsi Kalimantan Tengah sebanyak 282 unit perusahaan sawit seluas 3,9 juta hektar.Upaya penyelesaian permasalahan penggunaan kawasan hutan untuk perkebunan sawit di Provinsi Kalimantan Tengah diakukan dengan revisi kebijakan tentang alih fungsi hutan PP nomor 60 tahun 2012 yang memberikan kesempatan bagi perkebunan sawit yang berdasarkan Undang-Undang Kehutanan berada di dalam kawasan hutan namun berdasarkan RTRWP Provinsi Kalimantan Tengah berada di kawasan APL maupun budidaya, diberikan kesempatan untuk mengurus perijinannya.

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