An assessment of the impact of climate change effects on forest land cover based on satellite data

2015 ◽  
Author(s):  
Maria A. Zoran ◽  
Adrian I. Dida
Keyword(s):  
Climate Change ◽  
Land Cover ◽  
Satellite Data ◽  
Forest Land ◽  
Impact Of Climate Change ◽  
Climate Change Effects ◽  
Forest Land Cover ◽  
The Impact

Effects of climate change on babesiosis vectors.

2021 ◽  
pp. 223-227
Author(s):  
Jeremy Gray
Keyword(s):  
Climate Change ◽  
Ixodes Ricinus ◽  
Climate Change Impact ◽  
Dermacentor Reticulatus ◽  
Impact Of Climate Change ◽  
Climate Change Effects ◽  
Haemaphysalis Punctata ◽  
Change Impact ◽  
Abundance And Distribution ◽  
The Impact

Abstract This chapter discusses the impact of climate change on the abundance and distribution of babesiosis vectors and, by implication, transmission of Babesia spp. It discusses evidence for climate change impact on the vectors Ixodes ricinus, Dermacentor reticulatus, Haemaphysalis punctata and Hyalomma spp. as well as the absence of evidence of the same climate change effects on the vectors Rhipicephalus spp. and I. scapularis.

scholarly journals The Impact of Climate Change on Material Degradation Criteria in Heritage over Iran: Regional Climate Model Evaluation

2020 ◽  
Vol 172 ◽  
pp. 02006
Author(s):  
Hamed Hedayatnia ◽  
Marijke Steeman ◽  
Nathan Van Den Bossche
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
Climate Model ◽  
Regional Climate ◽  
Regional Climate Models ◽  
Salt Crystallization ◽  
Climate Modelling ◽  
Impact Of Climate Change ◽  
Climate Change Effects ◽  
The Impact

Understanding how climate change accelerates or slows down the process of material deterioration is the first step towards assessing adaptive approaches for the preservation of historical heritage. Analysis of the climate change effects on the degradation risk assessment parameters like salt crystallization cycles is of crucial importance when considering mitigating actions. Due to the vulnerability of cultural heritage in Iran to climate change, the impact of this phenomenon on basic parameters plus variables more critical to building damage like salt crystallization index needs to be analyzed. Regional climate modelling projections can be used to asses the impact of climate change effects on heritage. The output of two different regional climate models, the ALARO-0 model (Ghent University-RMI, Belgium) and the REMO model (HZG-GERICS, Germany), is analyzed to find out which model is more adapted to the region. So the focus of this research is mainly on the evaluation to determine the reliability of both models over the region. For model validation, a comparison between model data and observations was performed in 4 different climate zones for 30 years to find out how reliable these models are in the field of building pathology.

scholarly journals Analysis of Deforestation of Padang City's Protection Forest in 2007-2016 and It's Impact on Forest Carbon Emissions

JURNAL BUANA ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 390
Author(s):  
Ridho Firmanda ◽  
Yudi Antomi ◽  
Febriandi .
Keyword(s):  
Land Cover ◽  
Confusion Matrix ◽  
Image Interpretation ◽  
Forest Carbon ◽  
Forest Land ◽  
Deforestation Rate ◽  
Accuracy Test ◽  
Quantitative Descriptive ◽  
Forest Land Cover ◽  
The Impact

ABSTRACT Forest Deforestation Analysis is based on land cover, where land cover is divided into two classes of forest land cover and non-forest land cover class. Deforestation is a forested area that turns into a non-forest area. Land cover uses high resolution imagery with manual image interpretation (digit on screen) method. This study aims to determine the extent of deforestation and the rate of deforestation every year so that it is known how much carbon is lost from the impact of deforestation. The method used in this research is quantitative descriptive with carbon calculation which has been determined by the unit of weight for several classes of land cover. The results of research on forest deforestation were 319.92 ha with a deforestation rate of 38.57 ha per year, causing loss of 81.724.7 tons of forest carbon C. Accuracy test of images carried out using confusion matrix (comparison of image interpretation with field conditions) with an accuracy of 92,31%. Keywords: Manual Image Interpretation, Deforestation Rate, and Accuracy Test.

scholarly journals Analysis of Climate Change Effects on Surface Temperature in Central-Italy Lakes Using Satellite Data Time-Series

2021 ◽  
Vol 14 (1) ◽  
pp. 117
Author(s):  
Davide De Santis ◽  
Fabio Del Frate ◽  
Giovanni Schiavon
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Surface Temperature ◽  
Satellite Data ◽  
Water Surface ◽  
Central Italy ◽  
Large Lakes ◽  
Climate Change Effects ◽  
Surface Temperatures ◽  
The Impact

Evaluation of the impact of climate change on water bodies has been one of the most discussed open issues of recent years. The exploitation of satellite data for the monitoring of water surface temperatures, combined with ground measurements where available, has already been shown in several previous studies, but these studies mainly focused on large lakes around the world. In this work the water surface temperature characterization during the last few decades of two small–medium Italian lakes, Lake Bracciano and Lake Martignano, using satellite data is addressed. The study also takes advantage of the last space-borne platforms, such as Sentinel-3. Long time series of clear sky conditions and atmospherically calibrated (using a simplified Planck’s Law-based algorithm) images were processed in order to derive the lakes surface temperature trends from 1984 to 2019. The results show an overall increase in water surface temperatures which is more evident on the smallest and shallowest of the two test sites. In particular, it was observed that, since the year 2000, the surface temperature of both lakes has risen by about 0.106 °C/year on average, which doubles the rate that can be retrieved by considering the whole period 1984–2019 (0.053 °C/year on average).

scholarly journals Land cover and climate change effects on streamflow and sediment yield: a case study of Tapacurá River basin, Brazil

2015 ◽  
Vol 371 ◽  
pp. 189-193 ◽  
Author(s):  
J. Y. G. Santos ◽  
R. M. Silva ◽  
J. G. Carvalho Neto ◽  
S. M. G. L. Montenegro ◽  
C. A. G. Santos ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Cover ◽  
River Basin ◽  
Sediment Yield ◽  
Assessment Tool ◽  
Swat Model ◽  
Base Flow ◽  
Climate Change Effects ◽  
Monthly Streamflow ◽  
The Impact

Abstract. This study assesses the impact of the land use and climate changes between 1967–2008 on the streamflow and sediment yield in Tapacurá River basin (Brazil) using the Soil and Water Assessment Tool (SWAT) model. The model was calibrated and validated by comparing simulated mean monthly streamflow with observed long-term mean monthly streamflow. The obtained R2 and Nash–Sutcliffe efficiency values to streamflow data were respectively 0.82 and 0.71 for 1967–1974, and 0.84 and 0.82 for 1995–2008. The results show that the land cover and climate change affected the basin hydrology, decreasing the streamflow and sediment yield (227.39 mm and 18.21 t ha−1 yr−1 for 1967–1974 and 182.86 mm and 7.67 t ha−1 yr−1 for 1995–2008). The process changes are arising mainly due to the land cover/use variability, but, mainly due to the decreasing in the rainfall rates during 1995–2008 when compared with the first period analysed, which in turn decreased the streamflow and sediments during the wet seasons and reduced the base flow during the dry seasons.

scholarly journals CONTRIBUTION INDEX OF LAND COVER AND LAND SURFACE TEMPERATURE CHANGES IN UPPER HILL NAIROBI, KENYA

2021 ◽  
Vol V-3-2021 ◽  
pp. 141-149
Author(s):  
P. W. Mwangi ◽  
F. N. Karanja ◽  
P. K. Kamau ◽  
S. C. Letema
Keyword(s):  
Land Cover ◽  
Urban Heat Island ◽  
Land Surface ◽  
Heat Island ◽  
Forest Land ◽  
Urban Heat ◽  
The Mean ◽  
Forest Land Cover ◽  
The Impact ◽  
Contribution Index

Abstract. Urban heat island is the difference in thermal temperature between rural and urban areas. The urbanization process alters the material type with impervious surfaces being absorbers of incoming radiation during the day and emitting it at night. The research involved the use of time-series satellite imagery from Sentinel, Landsat, ASTER and MODIS for the period 1986, 1995, 2000, 2005, 2011, 2015 and 2017 over the Upper Hill, Nairobi. Morning, afternoon and night land surface temperatures (LST) were calculated for each of these years and analyzed together with the land cover. The mean albedo was calculated to determine the relationship between each land cover and mean LST. The contribution index was calculated to determine whether a land contributed positively or negatively to the mean LST in Upper Hill. Results indicated that built-up land cover had increased from 1986 to 2017 by 0.86% per annum while forest land cover had decreased by 0.99% per annum. Sparse grassland had higher albedo and LST values of 0.81 and 27.9 °C respectively, whereas water had lower albedo and LST values of 0.09 and 25.1 °C. Water had the lowest mean LST during the day but highest mean LST in the afternoon and night in each of the years due to its high thermal capacity. Bare ground tends to have a higher contribution index compared to other land covers, while forest land cover has a negative contribution index, indicating the impact land cover types have on LST and the urban heat island effect.

scholarly journals Impact of climate change on the ecosystem of the central Himalayas, Nepal

2021 ◽  
Vol 6 (3) ◽  
pp. 360-366
Author(s):  
Ganesh Paudel ◽  
Subash Adhikari ◽  
Bikesh Jojiju ◽  
Rabindra Adhikari ◽  
Namita Paudel Adhikar
Keyword(s):  
Climate Change ◽  
Terrestrial Ecosystem ◽  
High Mountains ◽  
Central Himalayas ◽  
Impact Of Climate Change ◽  
Climate Change Effects ◽  
Tropical Area ◽  
Different Types ◽  
The Impact ◽  
Impacts Of Climate Change

The threats of climate change are found in both developed and developing countries. Since the impacts of climate change are global, irreversible, and pervasive, it is gaining worldwide attention. High mountains are the first indicators of climate change. However, the idea of what causes climate change effects on multiple ecosystem services remains scattered. This article is meant for information regarding the impacts of climate change on the ecosystem of Nepal. The result shows that climate change causes tree line shifting, change in land cover, extinction of species due to loss of habitat, imbalance in carbon sequestration on the terrestrial ecosystem while eutrophication of water bodies and extinction of endemic fish species was reported from the aquatic ecosystem. Tropical area is considered to be more affected by climate change in terms of Natural disasters and Health impacts. Moreover, different types of ecological modeling can be simulated in the context of Nepal for the prediction and future analysis of the impacts of climate change in the Ecosystem. Therefore, the impact of climate change is crucial and challenging.

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