Mapping Land Use Land Cover Change in the Lower Mekong Basin From 1997 to 2010

Spruce, Joseph P.; Bolten, J. D.; Mohammed, Ibrahim Nourein; Srinivasan, Raghavan; Lakshmi, V.

doi:10.3389/fenvs.2020.00021

Cited by 57 publications

(42 citation statements)

References 52 publications

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“…Comprehensive consideration considers the area and proportion of ecological land use and believes that the ecological environment loss caused by the development and construction of industrial land and residential areas are relatively large. Spruce et al (2020) stated that the more transitional LUCC classes were as expected particularly dynamic, including the shifting cultivation, scrub/shrub/herbaceous, and deciduous forest/scrub classes that can be related to cultivation practices. Among them, the area of damaged for forest land and industrial and construction is relatively large, and the development and construction of residential land have caused certain damage to cultivated land.…”

Section: Loss Transition Of Luccmentioning

confidence: 99%

Effects of land use/land cover and climatic change on the ecosystem of North Ningxia, China

El-Hamid

Wei²,

Hafiz

et al. 2020

Arab J Geosci

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Land use/land cover change (LUCC) and climate changes are responsible for degradation of any ecosystem in arid and semi-arid regions. Studying the ecological variations is particularly essential for any type of sustainable development, in which LUCC considers as one of the chief inputs. The main objective is to evaluate the impacts of LUCC and climatic changes on the Ecosystem Vulnerability (ESV) using remote sensing and some statistical models around the Yellow River, Ningxia, China. Eleven classes of LUCC were identified during 1995 and 2019: village land, bare land, grassland, industrial land, irrigated land, swamp land, tidal flat, transportation land, urban land, water bodies, and water channels. Grassland may be decreased annually with percentage − 5.873% due to some human activities and environmental changes in climate from one season to another. About 24.23 km2 and 24.86 km2 was converted from grassland to industrial lands and irrigated lands, respectively. ESV has been calculated using LULC, DEM, slope, soil, and geology. About 45% and 60% of 1995 and 2019, respectively, undergone moderate vulnerability. The annual rate of ESVI decreased in low and reasonable but it was increased in moderate, high, and extreme showing – 4.166% as a total percentage of annual vulnerability. High vulnerability area needs proper management. Majority of vegetation area is located in zone under the moderate vulnerability zone; in contrast, grasslands were subjected to high vulnerability. Areas around the Yellow River were subjected to drought and flooding due to climatic change affecting negatively on the production of crops. Also, the desert lands of the study area have been turned to agriculture according to statistical model. Population growth, industrial development, and governmental policies for ecosystem protection were responsible for major changes. This study is more beneficial for decision-making in eco-environmental protecting and planning. Results of this study could help planners in formulating effective strategies for better management of ecosystem.

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Section: Loss Transition Of Luccmentioning

confidence: 99%

Effects of land use/land cover and climatic change on the ecosystem of North Ningxia, China

El-Hamid

Wei²,

Hafiz

et al. 2020

Arab J Geosci

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“…To overcome resulting selectivity differences, it is advisable to put future studies focusing on the role of MP as a vector for metal contaminants either on the basis of a complete microwave-assisted acid digestion (MWAD) protocol [43] or the application of techniques such as laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) for direct surface analysis (in this case a polymer-type-specific matrix matched calibration strategy would be also required for accurate trace metal quantification).…”

Section: Plos Onementioning

confidence: 99%

“…The significant number of digits of mass fractions are given according to the Guide to the expression of Uncertainty in measurement (JCGM 100:2008) [39] and EURACHEM guidelines [63], whereby the uncertainty determines the significant number of digits to be presented with the value. To evaluate the performance of the analytical procedure, zeta scores (Eq 1) were calculated according to ISO/IEC Guide 43…”

Section: Data Processingmentioning

confidence: 99%

A metrologically traceable protocol for the quantification of trace metals in different types of microplastic

Hildebrandt

Zimmermann³

et al. 2020

PLoS ONE

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The presence of microplastic (MP) particles in aquatic environments raised concern about possible enrichment of organic and inorganic pollutants due to their specific surface and chemical properties. In particular the role of metals within this context is still poorly understood. Therefore, the aim of this work was to develop a fully validated acid digestion protocol for metal analysis in different polymers, which is a prerequisite to study such interactions. The proposed digestion protocol was validated using six different certified reference materials in the microplastic size range consisting of polyethylene, polypropylene, acrylonitrile butadiene styrene and polyvinyl chloride. As ICP-MS/MS enabled time-efficient, sensitive and robust analysis of 56 metals in one measurement, the method was suitable to provide mass fractions for a multitude of other elements beside the certified ones (As, Cd, Cr, Hg, Pb, Sb, Sn and Zn). Three different microwaves, different acid mixtures as well as different temperatures in combination with different hold times were tested for optimization purposes. With the exception of Cr in acrylonitrile butadiene styrene, recovery rates obtained using the optimized protocol for all six certified reference materials fell within a range from 95.9% ± 2.7% to 112% ± 7%. Subsequent optimization further enhanced both precision and recoveries ranging from 103% ± 5% to 107 ± 4% (U; k = 2 (n = 3)) for all certified metals (incl. Cr) in acrylonitrile butadiene styrene. The results clearly show the analytical challenges that come along with metal analysis in chemically resistant plastics. Addressing specific analysis tools for different sorption scenarios and processes as well as the underlying kinetics was beyond this study's scope. However, the future application of the two recommended thoroughly validated total acid digestion protocols as a first step in the direction of harmonization of metal analysis in/on MP will enhance the significance and comparability of the generated data. It will contribute to a better understanding of the role of MP as vector for trace metals in the environment.

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“…Conversely, among the anthropogenic factors, the construction of roads, extraction of minerals, growing habitation, and deforestation are some prevailing activities that often found to alter the landscape within a short period. Particularly in the developing countries, the rapid changes in LULC have been observed in depleting or deteriorating the reserve of vital natural resources such as water, soil, vegetation cover resulting in environmental issues (Brandt & Townsend, 2006;Spruce et al, 2020;Arficho & Thiel, 2020). This increasing transformation is alarming and further under the influence of climate change, and such changes can significantly impact the environment at the local, regional, and global scale.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have proven the effectiveness of combined use of RS and GIS technique as a cost-effective and robust method for LULC mapping applying numerous techniques namely; (1) image rationing; (2) image differencing; (3) knowledge-based image segmentation; (4) principal component analysis (PCA); (5) neural networks; (6) object-oriented classification; (7) change vector analysis (CVA); (8) artificial intelligence (AI), etc. It may be noted that not any single method can answer the LULC classification problem across the globe universally owing to the degree of complexity exists in the natural environment (Daniel et al, 2002;Coppin et al, 2004;Chaudhuri et al, 2018;Spruce et al, 2020). The choice of techniques depends on the objective of the study, the level of LULC classification desired, the topography of the area, the satellite images used, etc.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Landscape Change of Lesser Himalayan Road Corridor of Uttarakhand, India

Sur

Singh

2020

Journal of Landscape Ecology

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The spatio-temporal monitoring and understanding of the pattern of land-use and land-cover (LULC) change in the Himalayas are essential for sustainable development, especially from environmental planning and management perspective. The increasing anthropogenic activities and climate change in the Siwalik and Lesser Himalayas have substantially experienced rapid change in the natural landscape; however, detailed investigation and documentation of such observed changes are limited. This study aims to assess the LULC changes along the Kalsi-Chakrata road corridor located in the Lesser Himalayan region of Uttarakhand state of India using remote sensing and geographic information system (GIS) for the periods 2000-2010 and 2010-2019. The LULC maps were generated from multi-temporal satellite images of the Landsat -7 Enhanced Thematic Mapper Plus (ETM+) series for 2000 and 2010, and the Linear Imaging Self-Scanning System IV (LISS IV) images from Resourcesat-1 for 2019. The extent of spatial landscape changes occurred in different LULC classes was performed through the cross-tabulation change matrix in the GIS module up to the individual village level. The results indicate that the forest cover of the area was intensively converted to open areas, sparse vegetation, and different land-use categories. These included agricultural land, built-up areas, and decreased from 47.27 % in 2000 to 36.66 % in 2019. During the same period, the open areas and agricultural areas were increased by 15.86 % and 4.49 %, respectively. Moreover, the built-up areas (both urban and rural settlements) were progressively increased from 0.33% in 2000 to 0.56 % in 2019. The conversion of forests and sparsely vegetative areas to agricultural land and rural settlements is closely associated with the increasing anthropogenic activities due to population growth, tourism, movement of heavy vehicles for mining and other economic activities. The changes in land-cover to land use classes are more prominent in Samalta Dadauli, Nithala, Bhugtari, and Udapalta villages located between Kalsi and Sahiya town. The reported maximum transition of forest areas into the open area, agricultural land, and sparse vegetation indicates the possible scarcity of water, which could link with the incidence of climatic or seasonal variation in the Lesser Himalayan terrain to the hydro-geomorphic and anthropogenic processes. The trend in LULC change at the village level gave the insight to help to prioritize future mitigation planning and sustainable development that are exceedingly convenient for the planners, policymakers, and local authorities for comprehensive forest management, biodiversity strategies, and necessary conservation

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Mapping Land Use Land Cover Change in the Lower Mekong Basin From 1997 to 2010

Cited by 57 publications

References 52 publications

Effects of land use/land cover and climatic change on the ecosystem of North Ningxia, China

Effects of land use/land cover and climatic change on the ecosystem of North Ningxia, China

A metrologically traceable protocol for the quantification of trace metals in different types of microplastic

Assessment of Landscape Change of Lesser Himalayan Road Corridor of Uttarakhand, India

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