Monitoring and protection of forest ecological tourism resources by dynamic monitoring system

• Autorzy: Lin Wen-Pin

Identyfikatory

DOI

10.1515/eces-2019-0018

Warianty tytułu

PL

Monitorowanie i ochrona leśnych zasobów turystyki ekologicznej przez dynamiczny system monitoringu

• Języki publikacji: EN

Abstrakty

EN

Forest can adjust climate and provide resources for the development of the society and tourism as well as promote the progress of human civilization, which is of great significance to the survival and development of human beings. With the industrial development and the improvement of people’s living standard, the development strength on forest resources is becoming higher than ever before. As forest resources are important resources which can maintain the ecological balance of the earth, its monitoring and protection is necessary. Hence, remote sensing technology has been developed for monitoring the changes of forest resources, which has the quickness characteristics and real-time spatial information acquisition and analysis capacities. This paper firstly introduced the geographical location, geomorphology, climate status, soil and vegetation types of Zhangjiakou City, Hebei Province and the basic theory of remote sensing monitoring such as vegetation spectral reflectance and normalized differential vegetation index (NDVI). Then, the NDVI was used to analyse the vegetation coverage and area ratio of Zhangjiakou City in 2006, 2010 and 2016. It was found that the vegetation coverage during the ten years from 2006 to 2016 showed an overall trend of growth. Conclusions: It is concluded that dynamic monitoring can effectively monitor and protect forest vegetation, which provided ideas for the follow-up forestry planning and ecological tourism development in Zhangjiakou.

Słowa kluczowe

EN

dynamic monitoring system; environment information collection; information resource monitoring; forest ecological tourism

PL

system monitorowania dynamiczny; gromadzenie informacji o środowisku; monitorowanie zasobów informacyjnych; leśna turystyka ekologiczna

• Wydawca: Towarzystwo Chemii i Inżynierii Ekologicznej
• Czasopismo: Ecological Chemistry and Engineering. S
• Rocznik: 2019
• Tom: Vol. 26, nr 1
• Strony: 189--197
• Opis fizyczny: Bibliogr. 17 poz., rys., wykr., tab.

Twórcy

autor

Lin Wen-Pin

• College of Tourism and Service Management, Nankai University, No. 38, Tongyan Road, Haihe Education Park, Jinnan district, Tianjin 300350, China

Bibliografia

• [1] Lausch A, Borg E, Bumberger J, Dietrich P, Heurich M, Huth A, et al. Understanding forest health with remote sensing, part iii: requirements for a scalable multi-source forest health monitoring network based on data science approaches. Remote Sensing. 2018; 10:1120. DOI: 10.3390/rs10071120.
• [2] Wilkesallemann J, Pütz M, Hirschi C, Fischer C. Conflict situations and response strategies in urban forests in Switzerland. Scandinavian J Forest Res. 2015; 30:204-216. DOI: 10.1080/02827581.2014.1002217.
• [3] Landry JS, Ramankutty N. Carbon cycling, climate regulation, and disturbances in Canadian forests: Scientific principles for management. Land. 2015; 4:83-118. DOI: 10.3390/land4010083.
• [4] Hu L, Li W, Xu B. The role of remote sensing on studying mangrove forest extent change. Int J Remote Sens. 2018:1-23. DOI: 10.1080/01431161.2018.1455239.
• [5] Ranjan AK, Anand A, Singh RK, Vallisree S. LU/LC change detection and forest degradation analysis in Dalma Wildlife Sanctuary using 3S technology: A case study in Jamshedpur-India. AIMS Geosci. 2016;2:273-285. DOI: 10.3934/geosci.2016.4.273.
• [6] Zhang H, Song HJ, Yu BC. Application of hyper spectral remote sensing for urban forestry monitoring in natural disaster zones. Int Conf Computer Manage. IEEE; 2011:1-4. DOI: 10.1109/CAMAN.2011.5778867.
• [7] Deng S, Katoh M, Guan Q, Yin N, Li MY. Interpretation of forest resources at the individual tree level at Purple Mountain, Nanjing City, China, using WorldView-2 Imagery by combining GPS, RS and GIS technologies. Remote Sens. 2013;6:87-110. DOI: 10.1016/j.foreco.2015.03.039.
• [8] Miura S, Amacher M, Hofer T, Sanmiguelayanz J, Thackway R. Protective functions and ecosystem services of global forests in the past quarter-century. Forest Ecol Manage. 2015;352:35-46. DOI: 10.1016/j.foreco.2015.03.039.
• [9] Pan Y, Birdsey R A, Phillips OL, Jackson RB. The structure, distribution, and biomass of the world’s forests. Ann Rev Ecol Evol Syst. 2013;44:593-622. DOI: 10.1146/annurev-ecolsys-110512-135914.
• [10] Yang TT, Ala M, Zhang YS, Wu JB, Wang AZ, Guan DX. Characteristics of soil moisture under different vegetation coverage in Horqin Sandy Land, northern China. PLOS ONE 2018;13:e0198805-. DOI: 10.1371/journal.pone.0198805.
• [11] Jaworski T, Hilszczański J. The effect of temperature and humidity changes on insects development their impact on forest ecosystems in the expected climate change. Forest Res Papers. 2013;74:345-355.
• [12] Zhang Q, Wang GY, Mi F, Zhang XC, Xu LZ, Zhang YF, et al. Evaluation and scenario simulation for forest ecological security in China. J Forest Res. 2018:1-16. https://link.springer.com/article/10.1007/s11676-018-0773-8.
• [13] Touré D, Ge J. The response of plant species diversity to the interrelationships between soil and environmental factors in the limestone forests of Southwest China. J Environ Earth Sci. 2014;4(8):105-122. https://iiste.org/Journals/index.php/JEES/article/view/12751.
• [14] Kroto HW, Zielińska M, Rajfur M, Wacławek M. The climate change crisis? Chem Didact Ecol Metrol. 2017;21(1-2):11-27. DOI: 10.1515/cdem-2016-0001.
• [15] Wang X, Wang S, Dai L. Estimating and mapping forest biomass in northeast China using joint forest resources inventory and remote sensing data. J Forest Res. 2018;29(3):1-15. DOI: 10.1007/s11676-017-0504-6.
• [16] Ji R, Zheng L, Deng X, Zhang Y, Li M. Forecasting chlorophyll content and moisture of apple leaves in different tree growth period based on spectral reflectance. Trans Chin Soc Agric Mach. 2014;45:269-275. DOI: 10.6041/j.issn.1000-1298.2014.08.043.
• [17] Gu Z, Duan X, Shi Y, Li Y, Pan X. Spatiotemporal variation in vegetation coverage and its response to climatic factors in the Red River Basin, China. Ecol Indic. 2018;93:54-64. DOI: 10.1016/j.ecolind.2018.04.033.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).