scholarly journals Tree Line Shift in the Olympus Mountain (Greece) and Climate Change

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 985
Author(s):  
Athanasios Zindros ◽  
Kalliopi Radoglou ◽  
Elias Milios ◽  
Kyriaki Kitikidou
Keyword(s):  
Climate Change ◽  
Protected Area ◽  
Temperature Increase ◽  
National Park ◽  
Forest Cover ◽  
Line Shift ◽  
Tree Line ◽  
Mountain Area ◽  
Gis Data ◽  
The Impact

One of the effects of climate change is, among others, changes to forest ecosystems. Research Highlights: Temperature increases and upward tree line shifts are linked in many studies. However, the impact of climate change on tree lines has not been studied in Greece. Background and Objectives: The aim of this study is to assess the relation of tree line shifts and climate change in Olympus mountain, and especially in a protected area. Materials and Methods: In the Olympus mountain, which includes a protected area (the Olympus National Park core) since 1938, GIS data regarding forest cover were analyzed, while climate change from a previous study is presented. Results: Forest expansion and an upward tree line shift are proven in the Olympus mountain area. In the National Park core, the tree line shift is the result of climate change and attributed to the significant temperature increase in the growing season. Conclusions: There are strong indications that a temperature increase leads to an upward shift of the tree lines in the National Park core.

Influence of climate change on soil erosion in high mountain area: a case study of upper Heihe river basin

2021 ◽  
Author(s):  
Li Wang ◽  
Fan Zhang ◽  
Guanxing Wang
Keyword(s):  
Climate Change ◽  
Soil Erosion ◽  
River Basin ◽  
Effect Of Temperature ◽  
Heihe River ◽  
High Mountain ◽  
Mountain Area ◽  
Impact Of Climate Change ◽  
High Mountain Area ◽  
The Impact

<p>The impact of climate change on soil erosion is pronounced in high mountain area. In this study, the revised universal soil loss equation (RUSLE) model was improved for better calculation of soil erosion during snowmelt period by integrating a distributed hydrological model in upper Heihe river basin (UHRB). The results showed that the annual average soil erosion rate from 1982 to 2015 in the study area was 8.1 t ha<sup>-1 </sup>yr<sup>-1</sup>, belonging to the light grade. To evaluate the influence of climate change on soil erosion, detrended analysis of precipitation, temperature and NDVI was conducted. It was found that in detrended analysis of precipitation and temperature, the soil erosion of UHRB would decrease 26.5% and 3.0%, respectively. While in detrended analysis of NDVI, soil erosion would increase 9.9%. Compared with precipitation, the effect of temperature on total soil erosion was not significant, but the detrended analysis of temperature showed that the effect of temperature on soil erosion during snowmelt period can reach 70%. These finding were helpful for better understanding of the impact of climate change on soil erosion and provide a scientific basis for soil management in high mountain area under climate change in the future.</p>

scholarly journals Study of Social Vulnerability of Climate Change at the Mountain Ecosystem

2018 ◽  
Vol 73 ◽  
pp. 02023
Author(s):  
Muhammad Rifqi Maulana ◽  
Denny Nugroho Sugianto
Keyword(s):  
Climate Change ◽  
Social Vulnerability ◽  
Settlement Patterns ◽  
Forest Cover ◽  
Human Life ◽  
Mountain Ecosystem ◽  
The World ◽  
Main Factors ◽  
Social Measurement ◽  
The Impact

Climate change is a global phenomenon, where the impact will be experienced by all parts of the world. One of the areas studied was Indonesia. Climate change in Indonesia has the direct and indirect effect on aspects of human life. Climate change can cause ecosystem disturbances. One of which is a mountainous ecosystem on Mount Rinjani, Lombok Island. The mountain ecosystem is very similar to the climate in Indonesia, this will have a special impact on the agricultural sectors. Therefore it is necessary to know the level in their environment. This paper will discuss social measurement parameters and their impact on climate in mountain ecosystems. The main factors are ecosystems (control environment, settlement patterns), ecology (forest cover, cliff conditions) and economy (livelihood & income / natural resources).

scholarly journals Comparison of the Impact of Global Climate Changes and Urbanization on Summertime Future Climate in the Tokyo Metropolitan Area

2012 ◽  
Vol 51 (8) ◽  
pp. 1441-1454 ◽  
Author(s):  
Sachiho A. Adachi ◽  
Fujio Kimura ◽  
Hiroyuki Kusaka ◽  
Tomoshige Inoue ◽  
Hiroaki Ueda
Keyword(s):  
Climate Change ◽  
Metropolitan Area ◽  
Global Climate Change ◽  
Temperature Increase ◽  
Climate Changes ◽  
Global Climate ◽  
Local Climate ◽  
Tokyo Metropolitan Area ◽  
Global Climate Changes ◽  
The Impact

AbstractIn this study, the impact of global climate change and anticipated urbanization over the next 70 years is estimated with regard to the summertime local climate in the Tokyo metropolitan area (TMA), whose population is already near its peak now. First, five climate projections for the 2070s calculated with the aid of general circulation models (GCMs) are used for dynamical downscaling experiments to evaluate the impact of global climate changes using a regional climate model. Second, the sensitivity of future urbanization until the 2070s is examined assuming a simple developing urban scenario for the TMA. These two sensitivity analyses indicate that the increase in the surface air temperature from the 1990s to the 2070s is about 2.0°C as a result of global climate changes under the A1B scenario in the Intergovernmental Panel on Climate Change’s Special Report on Emissions Scenarios (SRES) and about 0.5°C as a result of urbanization. Considering the current urban heat island intensity (UHII) of 1.0°C, the possible UHII in the future reaches an average of 1.5°C in the TMA. This means that the mitigation of the UHII should be one of the ways to adapt to a local temperature increase caused by changes in the future global climate. In addition, the estimation of temperature increase due to global climate change has an uncertainty of about 2.0°C depending on the GCM projection, suggesting that the local climate should be projected on the basis of multiple GCM projections.

scholarly journals Measuring benefits of protected area management: trends across realms and research gaps for freshwater systems

2015 ◽  
Vol 370 (1681) ◽  
pp. 20140274 ◽  
Author(s):  
Vanessa M. Adams ◽  
Samantha A. Setterfield ◽  
Michael M. Douglas ◽  
Mark J. Kennard ◽  
Keith Ferdinands
Keyword(s):  
Protected Areas ◽  
Impact Evaluation ◽  
Protected Area ◽  
National Park ◽  
Protected Area Management ◽  
Time Lags ◽  
Research Gaps ◽  
Freshwater Systems ◽  
The Impact ◽  
Area Management

Protected areas remain a cornerstone for global conservation. However, their effectiveness at halting biodiversity decline is not fully understood. Studies of protected area benefits have largely focused on measuring their impact on halting deforestation and have neglected to measure the impacts of protected areas on other threats. Evaluations that measure the impact of protected area management require more complex evaluation designs and datasets. This is the case across realms (terrestrial, freshwater, marine), but measuring the impact of protected area management in freshwater systems may be even more difficult owing to the high level of connectivity and potential for threat propagation within systems (e.g. downstream flow of pollution). We review the potential barriers to conducting impact evaluation for protected area management in freshwater systems. We contrast the barriers identified for freshwater systems to terrestrial systems and discuss potential measurable outcomes and confounders associated with protected area management across the two realms. We identify key research gaps in conducting impact evaluation in freshwater systems that relate to three of their major characteristics: variability, connectivity and time lags in outcomes. Lastly, we use Kakadu National Park world heritage area, the largest national park in Australia, as a case study to illustrate the challenges of measuring impacts of protected area management programmes for environmental outcomes in freshwater systems.

scholarly journals MULTITEMPORAL ANALYSIS OF FOREST COVER CHANGE USING REMOTE SENSING AND GIS OF KANHA TIGER RESERVE, CENTRAL INDIA

2018 ◽  
Vol XLII-5 ◽  
pp. 211-219 ◽  
Author(s):  
R. M. Devi ◽  
B. Sinha ◽  
J. Bisaria ◽  
S. Saran
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Forest Cover ◽  
Central India ◽  
Adaptation Strategies ◽  
Land Use Land Cover ◽  
Tiger Reserve ◽  
The Impact

<p><strong>Abstract.</strong> Forest ecosystems play a key role in global ecological balance and provide a variety of tangible and intangible ecosystem services that support the livelihoods of rural poor. In addition to the anthropogenic pressure on the forest resources, climate change is also impacting vegetation productivity, biomass and phenological patterns of the forest. There are many studies reported all over the world which use change in Land Use Land Cover (LULC) to assess the impact of climate change on the forest. Land use change (LC) refers to any anthropogenic or natural changes in the terrestrial ecosystem at a variety of spatial or temporal scale. Changes in LULC induced by any causes (natural/anthropogenic) play a major role in global as well as regional scale pattern which in turn affects weather and climate. Remote sensing (RS) data along with Geographic Information System (GIS) help in inventorying, mapping and monitoring of earth resources for effective and sustainable landscape management of forest areas. Accurate information about the current and past LULC including natural forest cover along with accurate means of monitoring the changes are very necessary to design future adaptation strategies and formulation of policies in tune of climate change. Therefore, this study attempts to analyze the changes of LULC of Kanha Tiger Reserve (KTR) due to climate change. The rationale for selecting KTR is to have a largely intact forest area without any interference so that any change in LULC could be attributed to the impact of climate change. The change analysis depicted changes in land use land cover (LULC) pattern by using multi-temporal satellite data over a period of time. Further, these detected changes in different LULC class influence the livelihoods of forest-dependent communities. As the study site is a Sal dominated landscape; the findings could be applied in other Sal dominated landscape of central India in making future policies, adaptation strategies and silvicultural practices for reducing the vulnerability of forest-dependent communities.</p>

scholarly journals The impact of roads on the movement of arboreal fauna in protected areas: the case of lar and pileated gibbons in Khao Yai National Park, Thailand

2021 ◽  
pp. 1-10
Author(s):  
Norberto Asensio ◽  
Jakkrit Kachanan ◽  
Chanpen Saralamba ◽  
Juan Manuel José-Domínguez
Keyword(s):  
Protected Areas ◽  
National Park ◽  
Road Network ◽  
Forest Cover ◽  
Linear Models ◽  
Home Ranges ◽  
Movement Model ◽  
Khao Yai National Park ◽  
Crossing Probability ◽  
The Impact

Abstract The unavoidable impact of roads on arboreal fauna in protected areas has received little attention. We investigated this impact on two gibbon species in Khao Yai National Park, Thailand: two groups had home ranges traversed by roads (roadside groups) and another two lived nearby roads (interior groups). Roads partially delineated the edges of home ranges of roadside groups, and gibbons crossed them only at a few locations. Gibbons’ space use decreased near roads for roadside groups and showed road reluctance as their crossing rates were smaller than those produced by a null movement model. Generalised linear models (GLMs) indicated that a long canopy gap reduced gibbons’ crossing probability, whereas forest cover had a positive effect. A large part of the road network had a low probability of being crossed by gibbons according to GLMs, especially at areas around park headquarters. Roads were still relatively permeable to gibbon movement with a mean 35% crossing probability. The relatively short and narrow road network in the park constitutes a positive assessment of the standards of how roads should be built in protected areas. Nonetheless, this assessment might be the consequence of the park being set in a mountainous region with difficulties of road development.

scholarly journals Impact of global warming on the distribution of Anastrepha grandis (Diptera: Tephritidae) in Brazil

2020 ◽  
Vol 87 ◽  
Author(s):  
Heitor Lisbôa ◽  
Anderson Dionei Grutzmacher ◽  
Marcos Silveira Wrege ◽  
Flávio Roberto Mello Garcia ◽  
Dori Edson Nava
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Central America ◽  
Temperature Increase ◽  
Southeastern Brazil ◽  
Climate Scenarios ◽  
Intergovernmental Panel ◽  
Climatic Variations ◽  
Pessimistic Scenario ◽  
The Impact

ABSTRACT: Anastrepha grandis is one of the main pests related to Cucurbitaceae in South and Central America. This study discusses the impact of temperature increase on the number of generations of A. grandis, whose distribution could be aggravated due to temperature increase. Climatic variations were analyzed for reference scenarios obtained from 1961‒1990 and of A2 and B1 climatic change scenarios of the Intergovernmental Panel on Climate Change, in which a less pessimistic scenario (B1) and a more pessimistic scenario (A2) were found. In relation to the reference scenarios, in colder seasons, the southern and southeastern regions are inadequate for the development of A. grandis, presenting one generation at most. In other regions of Brazil, where temperatures are higher throughout the year, the number of generations is at least two, and there is no variation from one climatic season to another. When analyzing the temperature increase, in a more pessimistic scenario (A2), there is a considerable variation in the number of generations, if we take into account three future climate scenarios in which A. grandis practically doubles the number of generations. In relation to a less pessimistic scenario (B1), there is a smaller variation in the number of generations, mainly in the southern region of the country. This variation is more accentuated in southeastern Brazil due to the temperature increase, in which the pest’s number of generations doubles even in colder seasons.

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