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Monitoring and Protection of Forest Ecological Tourism Resources by Dynamic Monitoring System Cover

Monitoring and Protection of Forest Ecological Tourism Resources by Dynamic Monitoring System

By: Wen-Pin Lin  
Open Access
|Apr 2019

References

  1. [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/rs10071120.10.3390/rs10071120
  2. [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: 10.1080/02827581.2014.1002217.10.1080/02827581.2014.1002217
  3. [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/land4010083.10.3390/4010083
  4. [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: 10.1080/01431161.2018.1455239.10.1080/01431161.2018.1455239
  5. [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.2016.4.273.10.3934/geosci.2016.4.273
  6. [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.2011.5778867.10.1109/CAMAN.2011.5778867
  7. [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.2015.03.039.10.1016/j.foreco.2015.03.039
  8. [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.2015.03.039.10.1016/j.foreco.2015.03.039
  9. [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-110512-135914.10.1146/annurev-ecolsys-110512-135914
  10. [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.0198805.29927951
  11. [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;74:345-355.10.2478/frp-2013-0033
  12. [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. [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. [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-2016-0001.10.1515/cdem-2016-0001
  15. [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/s11676-017-0504-6.10.1007/s11676-017-0504-6
  16. [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.1000-1298.2014.08.043.10.6041/j.issn.1000-1298.2014.08.043
  17. [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.2018.04.033.10.1016/j.ecolind.2018.04.033
DOI: https://doi.org/10.1515/eces-2019-0018 | Journal eISSN: 2084-4549 | Journal ISSN: 1898-6196
Language: English
Page range: 189 - 197
Published on: Apr 15, 2019
Published by: Society of Ecological Chemistry and Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Wen-Pin Lin, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.