scholarly journals Retraction Note: Characteristics of mountain climate change and optimization of agricultural tourism management based on satellite Internet of Things

2021 ◽  
Vol 14 (23) ◽  
Author(s):  
Xia Zhang
Author(s):  
Ross H Martin ◽  
Joshua B Hodge ◽  
Clayton J Whitesides

E.P. Meinecke, a noted plant pathologist and staunch supporter of conservation, authored an influential article about the impacts of tourism on redwood trees. In the Effect of Excessive Tourist Travel on the California Redwood Parks, published in 1929, Meinecke found that soil compaction by tourists had a negative impact on tree roots and his recommendations for amelioration were both logical and laced with philosophical ideals. We revisit that report with a modern perspective by reviewing his findings and suggestions, and by comparing his ideas with modern research and tourism management practices. One of Meinecke’s greatest concerns was the advent of the automobile and its ability to bring more people to redwood groves. We take that concern to the next logical step and discuss potential impacts of climate change on redwood trees.


2011 ◽  
Vol 3 (1) ◽  
pp. 16-30 ◽  
Author(s):  
Carolina E. Roman ◽  
Amanda H. Lynch ◽  
Dale Dominey-Howes

Abstract A problem-oriented and interdisciplinary approach was employed at Alpine Shire, in northeast Victoria, Australia, to explore its tourism sector’s contextual vulnerability and adaptability to stressors that include but are not limited to climatic change. Using a policy sciences approach, the objective was to identify factors that influence existing vulnerabilities and that might consequently act as barriers to effective adaptation. To do this, a particular focus was placed on identifying the underlying values embedded in social and decision processes and their role in shaping preferred adaptation outcomes. Analyses of social processes suggest that many threats, including the effects climate change, compete for the resources, strategy, and direction of local tourism management bodies. Many complex and interacting factors define the vulnerability and adaptive capacity of the shire’s tourism sector to the challenges of global change, including local socioeconomic issues as well as exposure to external factors of macroscale. These issues represent more immediate concerns than future climate change scenarios, revealing an approximation of the common interest in working toward adaptation and sustainability.


2021 ◽  
Vol 4 (2) ◽  
pp. p1
Author(s):  
Duy Chinh Nguyen ◽  
Ngan Thi Phan

Tourism and agriculture represent two of the world's largest economic industries. The combination of these two areas is critical to maximize the contribution of local tourism and economic development. Agri-tourism is an increasingly popular form of the tourism industry and may be soon one of the largest tourism sectors in a number of countries. Agri-tourism is a suitable tool to balance the needs of tourists with the needs of rural communities, is a sustainable tourism trend that creates real opportunities for economic and social development and also minimizing undesirable impacts on the environment. Ben Tre with indigenous resources is very convenient to develop agricultural tourism. This will be a new livelihood option to both improve the rural economy and respond to the impacts of climate change on agriculture.


Think India ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 95-98
Author(s):  
S. Sethuramalingam ◽  
S. Arumuga Peruaml ◽  
A. Venkat Subramanian

Agriculture is the main source that meets the food demand of living beings. The growth of a nation is predicted from the outcome of its Agricultural contribution. Population explosion, Climate change and poor environmental factors decreases the agriculture yield gradually. Smart Agriculture is the only solution to these challenges as it is focused on the modernization of existing agricultural methods. This can be implemented by adopting Internet of Things (IoT) in agriculture. Smart Agriculture focuses on data collection from various sensors such as Temperature, Humidity, Soil Moisture, Soil pH, and Soil Nitrogen. The main objective of this paper is to monitor the aforementioned factors that directly influence the growth of crops. The collected data from the farm lands are stored in a cloud database for analytics and predictive actions. Smart Agriculture provides a mechanism for efficient observation, measurement and response to changes in environment. It provides better water irrigation, appropriate fertilizers management and efficient soil nutrition and directly influence the productivity. It is also used to enhance quality and profitability in agriculture by using minimum resources with less environment pollution.


Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 898
Author(s):  
George Adamides

Climate-smart agriculture is an approach for developing agricultural strategies to modernize agricultural systems using digital techniques, aiming for sustainable agriculture and ensuring food security under climate change. This article provides a systematic literature review of smart agriculture technologies towards climate-smart agriculture in Cyprus, including robotics, Internet of Things, and remote sensing. The paper starts with a review of climate-smart agriculture, presenting its importance in terms of optimizing agricultural production processes in order to address the interlinked challenges of food security and climate change. An extensive literature review of works published in the areas of robotics, Internet of Things, and remote sensing is undertaken, with particular attention paid to works carried out in relation to agriculture in Cyprus. The paper analyzes aspects of the climate-smart agriculture research situation in Cypriot agriculture, identifies gaps, and concludes with new directions.


Author(s):  
Parameswaran B ◽  
Abdul Hakkim Rabbani. A. S ◽  
Abdur Rasik. T. K. M ◽  
Karthikeyan. A. K ◽  
Keerthi. J

Agriculture is becoming an important growing sector throughout the world due to increasing population. Major challenge in agriculture sector is to improve farm productivity and quality of farming without continuous manual monitoring to meet the rapidly growing demand for food. Apart from increasing population, the climate change is also a big concern in agricultural sector. Thus, rather than performing outdoor irrigation; here a small indoor farming method is performed based on Internet of Things. The smart farming method enables the collection of data and automated farming technique.


2018 ◽  
Vol 10 (4) ◽  
pp. 458-466 ◽  
Author(s):  
Anna Polukhina ◽  
Vera Rukomoinikova

Purpose The purpose of this paper is to analyse the problems and prospects for the further development of agricultural tourism in Russia. The paper focuses on innovations in the agricultural complex, particularly on an innovative approach to agricultural tourism management. Design/methodology/approach The authors use statistical analysis and a case study approach as the main methods. The paper contains statistical data on agricultural complex and agritourism development in a number of Russian regions. The case study illustrates the prospects for implementing innovations in the management of an agricultural complex and the development of agritourism. Findings The research sheds light on the contemporary state of the agricultural complex in the Russian Federation and on the challenges for the development of agriculture during economic sanctions, with a related impact on exchange rates and the value of the Russian Ruble. Originality/value The paper comments on the sociocultural resources for agricultural development based on the results of a three-year study of tourism-based networking involving entrepreneurs, locals and state and municipal authorities.


2018 ◽  
Vol 31 (6) ◽  
pp. 2093-2113 ◽  
Author(s):  
Justin R. Minder ◽  
Theodore W. Letcher ◽  
Changhai Liu

The character and causes of elevation-dependent warming (EDW) of surface temperatures are examined in a suite of high-resolution ([Formula: see text] km) regional climate model (RCM) simulations of climate change over the Rocky Mountains using the Weather Research and Forecasting Model. A clear EDW signal is found over the region, with warming enhanced in certain elevation bands by as much as 2°C. During some months warming maximizes at middle elevations, whereas during others it increases monotonically with elevation or is nearly independent of elevation. Simulated EDW is primarily caused by the snow albedo feedback (SAF). Warming maximizes in regions of maximum snow loss and albedo reduction. The role of the SAF is confirmed by sensitivity experiments wherein the SAF is artificially suppressed. The elevation dependence of free-tropospheric warming appears to play a secondary role in shaping EDW. No evidence is found for a contribution from elevation-dependent water vapor feedbacks. Sensitivity experiments show that EDW depends strongly on certain aspects of RCM configuration. Simulations using 4- and 12-km horizontal grid spacings show similar EDW signals, but substantial differences are found when using a grid spacing of 36 km due to the influence of terrain resolution on snow cover and the SAF. Simulations using the Noah and Noah-MP land surface models (LSMs) exhibit large differences in EDW. These are caused by differences between LSMs in their representations of midelevation snow extent and in their parameterization of subpixel fractional snow cover. These lead to albedo differences that act to modulate the simulated SAF and its effect on EDW.


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