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Simulating long-term effect of Hyrcanian forest loss on phosphorus loading at the sub-watershed level

Journal of Arid Land 2018年第3期10卷 457-469页

作者： Fatemeh RAJAEI Abbas E SARI Abdolrassoul SALMANMAHINY Timothy O RANDHIR Majid DELAVAR Reza D BEHROOZ Alireza M BAVANI Department of Environment Faculty of Natural Resources and Marine Science Tarbiat Modares University Department of Environmental Gorgan University of Agricultural Science & Natural Resources Department of Environmental Conservation University of Massachusetts Department of Water Resources Agriculture Faculty Tarbiat Modares University Department of Environmental Sciences Faculty of Natural Resources University of Zabol Department of Irrigation and Drainage Engineering Faculty of Abouraihan University of Tehran

Conversion of forest land to farmland in the Hyrcanian forest of northern Iran increases the nutrient input, especially the phosphorus（P） nutrient, thus impacting the water quality. Modeling the effect of forest loss on surface water quality provides valuable information for forest management. This study predicts the future impacts of forest loss between 2010 and 2040 on P loading in the Tajan River watershed at the sub-watershed level. To understand drivers of the land cover, we used Land Change Modeler（LCM） combining with the Soil Water Assessment Tool（SWAT） model to simulate the impacts of land use change on P loading. We characterized priority management areas for locating comprehensive and cost-effective management practices at the sub-watershed level. Results show that agricultural expansion has led to an intense deforestation. During the future period 2010–2040, forest area is expected to decrease by 34,739 hm^2. And the areas of pasture and agriculture are expected to increase by 7668 and 27,071 hm^2, respectively. In most sub-watersheds, P pollution will be intensified with the increase in deforestation by the year 2040. And the P concentration is expected to increase from 0.08 to 2.30 mg/L in all of sub-watersheds by the year 2040. It should be noted that the phosphorous concentration exceeds the American Public Health Association′s water quality standard of 0.2 mg/L for P in drinking water in both current and future scenarios in the Tajan River watershed. Only 30% of sub-watersheds will comply with the water quality standards by the year 2040. The finding of the present study highlights the importance of conserving forest area to maintain a stable water quality.

关键词： phosphorus land use change modeling forest loss prioritizing management area Tajan River Iran

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Spatiotemporal changes in forest loss and its linkage to burned areas in China

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Journal of forestry Research 2020年第6期31卷 2525-2536页

作者： Zhiwei Wu Saijia Yan Lei He Yanlong Shan Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of EducationJiangxi Normal UniversityNanchang 330022People’s Republic of China School of Geography and Environment Jiangxi Normal UniversityNanchang 330022People’s Republic of China Jiangxi Provincial Key Laboratory of Poyang Lake Comprehensive Management and Resource Development Jiangxi Normal UniversityNanchang 330022People’s Republic of China forestry College Beihua UniversityJilin 132013People’s Republic of China

Fire-induced forest loss has substantially increased worldwide over the last *** China,the connection between forest loss and frequent fi res on a national scale remains largely *** this study,we used a data set for a time-series of forest loss from the Global forest Watch and for a MODIS-derived burned area for 2003–2015 to ascertain variations in forest loss and to explore its relationship with forest fi res(represented by burned areas)at the country-and forest-zone *** quantifi ed trends in forest loss during 2003–2015 using linear regression analysis and assessed the relation between forest loss and burned areas using Spearman’s *** loss increased signifi cantly(264.8 km 2 a−1;R 2=0.54,pforest loss trend had extensive spatial *** loss increased mainly in the subtropical evergreen broadleaf forest zone(315.0 km 2 a−1;R 2=0.69,pforest zone(38.8 km 2 a−1;R 2=0.66,ploss of forest decreased in the cold temperate deciduous coniferous forest zone(−70.8 km 2 year−1;R 2=0.75,pforest zone(−14.4 km 2 a−1;R 2=0.45,pforest loss had a signifi cant positive relationship with the burned area in the cold temperate deciduous coniferous forest zone(16.9% of the lands)and the subtropical evergreen broadleaf forest zone(7.8%).These results provide a basis for future predictions of fi re-induced forest loss in China.

关键词： forest loss forest fire Burned area Spatiotemporal variability Correlation analysis

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loss ASSESSMENT OF BURNED forest USING REMOTE SENSING AND GEOGRAPHICAL INFORMATION TECHNIQUES

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Journal of Northeast forestry University 1991年第2期2卷 89-94页

作者： Zhou Hongze Ye Ronghua Northeast forestry University Northeast forestry University China

After forest fire, it is very needed to locate fire position and assess the loss of forest resources. In this paper, a method of burned forest assessment with satellite remote sensing data and over-laying techniques is discussed and used in the assessment of the burned forest in Malin forest Farm after the large forest fire of May, 1987.

关键词： Assessment method forest loss forest fire Geographic information techniques

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Monitoring forest dynamics in Africa during 2000- 2020 using a remotely sensed fractional tree cover dataset

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International Journal of Digital Earth 2023年第1期16卷 2212-2232页

作者： Xuexin Wei Yang Liu Lin Qi Jilong Chen Guoqin Wang Linxiu Zhang Ronggao Liu Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijingPeople’s Republic of China College of Resources and Environment University of Chinese Academy of SciencesBeijingPeople’s Republic of China United Nations Environment Programme-International Ecosystem Management Partnership BeijingPeople’s Republic of China

Africa is covered with extensive woodlands,savannas and *** tree cover of these biomes has been undergoing substantial changes in recent ***,the dynamics of forests in Africa are currently unclear,particularly in the woodlands and savanna areas covered by sparse ***,we assessed the spatio-temporal trend of African forests from 2000 to 2020,using a 250-m resolution fractional tree cover product that can capture the variation of forest density in the widespread mixed vegetation landscapes of the *** tree cover trends,interannual change and hotspots of forest gain and loss were *** showed that the African forest area increased at a rate of 3.59 million ha/year over the study period,reaching 589 million ha in *** forest gain and loss both occurred in *** net change rate in woodlands’forest area was the fastest(2.28 million ha/year),followed by rainforests(0.80 million ha/year)and savannas(0.34 million ha/year).Hotspots of forest gain were concentrated in the north belt of woodlands and savannas,while forest loss primarily clustered in East and South *** work would help African countries to monitor forest change and promote forest management to achieve the Sustainable Development Goals.

关键词： forest gain forest loss tree cover Africa spatio-temporal dynamic

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Analysis of Land Use Change and Associated Implications on Soil Ecosystem Functions in South Eastern Nigeria

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Journal of Geoscience and Environment Protection 2023年第5期11卷 126-134页

作者： Nwabueze I. Igu Chinero N. Ayogu Chidimma C. Umeogu Michael C. Obikwelu Department of Geography and Meteorology Nnamdi Azikiwe University Awka Nigeria Department of Geography University of Nigeria Nsukka Nigeria

Land use change affects soil functions and its capacity to provide ecosystem services. Though much of the tropics are experiencing accelerated increases in land use change, associated impacts of such changes are poorly understood and studied. This study assessed the extent to which land use changes affect the soil ecosystem functions in a rainforest zone of south eastern Nigeria. Soil samples were collected from 24 sample locations in selected natural forest, cashew and palm plantations. Samples were analyzed in triplicate in the laboratory for geochemical analysis, after which the result was subjected to statistical analysis—ANOVA, correlation and regression. forest carbon had higher % mean carbon content;though there was no significant difference (F (2, 21) = .246, p = .784) in carbon level across land uses. R value of .301 showed low correlation between % carbon, organic matter and % loss in ignition. Furthermore, R2 value of 9.1% total variation in the dependent variable could only be explained by the independent variables. CEC, Nitrogen, Potassium and Phosphorus content of the land uses did not differ significantly: CEC (F (2, 21) = .844, p (.44);Nitrogen (.243), p (.79), Potassium (.140), p (.87), Phosphorus (.783), p (.47). This showed that there was no significant variation in soil fertility of the land uses, although natural forest had higher concentrations for these variables. Across the land uses, soil texture equally had no significant variations: % sand (F (2, 21) = .320, p (.729) % clay (.430), p (.656), % silt (.043), p (.958). Soil carbon was seen to be more enhanced in natural forest ecosystems than other land uses. Though plantations had reduced capacities to provide ecosystem functions, establishing such in modified landscapes is still advocated as they can coexist with such and yet ensure ecosystem functions.

关键词： Climate Change Ecosystem Services forest loss Modification Soil Processes

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Assessment of Past and Future Land Use/Land Cover Dynamics of the Old Kumasi Metropolitan Assembly and Atwima Nwabiagya Municipal Area, Ghana

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Journal of Geoscience and Environment Protection 2023年第3期11卷 44-69页

作者： Addo Koranteng Bernard Fosu Frimpong Isaac Adu-Poku Jack Nti Asamoah Tomasz Zawiła-Niedźwiecki Kumasi Technical University Institute of Research Innovation and Development Kumasi Ghana Department of Hydrology Brandenburg University of Technology Cottbus Germany Kwame Nkrumah University of Science and Technology Geomatic Engineering Department Kumasi Ghana Kumasi Technical University Department of Civil Engineering Faculty of Engineering and Technology Kumasi Ghana Coordination Centre for Environmental Projects Warszawa Poland

Ghana like all countries in Sub-Saharan region of Africa have long been undergoing intense land use land cover changes (LULCC) which have given rise to extensive forest loss (deforestation and degradation), loss of arable land and land degradation. This study assessed the past LULCC in the Atwima Nwabiagya which contains the Barekese and Owabi Headworks) and the old Kumasi Local Assemblies’ areas in Ghana and projected the scenario in 2040 for business-as-usual (BAU). The synergies of satellite imagery of 1990, 2000, 2010 and 2020 were classified with an overall accuracy of 90%. Markov Cellular-Automata method was used to forecast the future LULC pattern after detecting main driving forces of LULCC. The findings showed an extensive increase in built up areas from 11% in 1990 to 39% in 2020 owing largely to 23% decrease in forest cover and 6% decrease in agricultural lands within the past 30 years (1990-2020). The projected LULC under the BAU scenario for 2040 showed built-up surge from 39% to 45% indicating additional forest loss from 43% in 2020 to 40% and decreasing agricultural land from 17% to 14%. The main driver for the LULCC is clearly anthropogenic driven as the human population in the study area keeps rising every censual year. This study exemplifies the fast-tracked forest loss, loss of arable land and challenges on ecosystem sustainability of the Barekese-Owabi-Kumasi landscape. The current and projected maps necessitate the apt implementation of suitable interventions such as reforestation, protection measures and policy decision in deliberate land use planning to mitigate further loss of forest cover and safeguard the Barekese and Owabi headworks.

关键词： forest loss Random forest Classifier Change Detection Urbanization Markov-Cellular Automata

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Urbanization and Other Land Use Land Cover Change Assessment in the Greater Kumasi Area of Ghana

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Journal of Geoscience and Environment Protection 2023年第5期11卷 363-383页

作者： Addo Koranteng Isaac Adu-Poku Bernard Fosu Frimpong Jack Nti Asamoah John Agyei Tomasz Zawiła-Niedźwiecki Institute of Research Innovation and Development Kumasi Technical University Kumasi Ghana Geomatic Engineering Department Kwame Nkrumah University of Science and Technology Kumasi Ghana Department of Hydrology Brandenburg University of Technology Cottbus Germany Department of Civil Engineering Faculty of Engineering and Technology Kumasi Technical University Kumasi Ghana Coordination Centre for Environmental Projects Warszawa Poland

Urbanization posits the expression of urban expanse expansion due to population growth, rise in built-up areas, high population density and its correspondingly urban way of life. Unrestrained impetus of development and land use land cover change (LULCC) portent several issues such as unlawful urban sprawl, loss of agricultural land, forest loss and other associated complications. This study analyzed the dynamics of urbanization and other LULCC in Ghana’s Greater Kumasi area via Landsat images (TM 1986, OLI 2013 and OLI 2023) using ERDAS Imagine, Idrisi and ArcGIS software. Implementing supervised classification technique, the Maximum Likelihood Classifier (MLC) procedure was employed to categories the study area into five LULC classes. Accuracy assessment undertaken on the resultant LULC maps was deemed very satisfactory. The results from 1986-2023 pointed to an upsurge in a built-up extent as of 8% to 41%, a decrease in Closed forest from 9% to 4%, another decrease in Open forests from 64% to 33%, a slight increase from 16% to 20% in farmlands and a stable level of water share. Further analysis indicated that the study area had undergone LULCC within the periods 1986-2013 and 2013-2023 at 60% and 37% respectively. The findings showed uncontrolled urban sprawling along major roads and forest loss as deforestation outside protected areas and degradation in protected forest. The monitoring of urbanization and other LULCC is important for local, and national governments and other bodies charged with the implementation of programs and policies that manage and utilize natural resources. Development adapts to mitigate the effect on the environment.

关键词： Urbanization Maximum Likelihood Classifier (MLC) Urban Sprawl Change Detection forest loss

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