برآورد تغییرات مکانی ضخامت لاشبرگ در سری یک و دو توده‌های جنگلی طبیعی و دست کاشت عرب داغ گلستان

1.Aghajani, H., Fallah, A., and Emadian, S.F. 2014. Modeling and analyzing the surface fire behavior in Hyrcanian forest of Iran.J. of Forest Science. 60: 9. 353-362.‏

2.Ali, S.M., and Malik, R.N. 2011. Spatial distribution of metals in top soils of Islamabad city, Pakistan. Environmental Monitoring and Assessment. 172: 1-16.

3.Andronikov, S.V., Davidson, D.A., and Spiers, R.B. 2000. Variability in contamination by heavy metals: sampling implications. Water, Air, Soil Pollution. 120: 29-45.

4.Basaran, M., Erpul, G., Ozcan, A.U., Saygin, D.S., Kibar, M., Bayramin, I.,and Yilman, F.E. 2011. Spatial information of soil hydraulic conductivity and performance of cokriging over kriging in a semi-arid basin scale. Environmental Earth Sciences J. 63: 827-838.

5.Behera, S.K., and Shukla, A.K. 2015. Spatial distribution of surface soil acidity, electrical conductivity, soil organic carbon content and exchangeable potassium, calcium and magnesium in some cropped acid soils of India. Land Degradation and Development. 26: 71-79.

6.Berg, B., and McClaugherty, C. 2003. Plant litter – decomposition, humus formation, carbon sequestration. Springer- Verlag,Berlin Heidelberg.

7.Bhunia, G.S., Shit, P.K., and Maiti, R. 2018. Comparison of GIS-based interpolation methods for spatial distribution of soil organic carbon (SOC). J. of the Saudi Society of Agricultural Sciences. 17: 2. 114-126.‏

8.Burrough, P.A., and McDonnell, R.A. 1998. Principles of geographical information systems. Oxford University Press, Oxford.

9.Cheng, X.F., and Xie, Y. 2009. Spatial distribution of soil organic carbon density in Anhui province based on GIS. Scientia Geographica Sinica. 29: 4. 540-544.

10.Conti, G., Pérez-Harguindeguy, N., Quètier, F., Gorné, L.D., Jaureguiberry, P., Bertone, G.A., Enrico, L., Cuchietti, A., and Díaz, S. 2014. Large changes in carbon storage under different land-use regimes in subtropical seasonally dry forests of southern South America. Agriculture, Ecosystems and Environment. Agriculture, Ecosystems and Environment. 197: 68-76.

11.Cunha, G.D.M., Gama-Rodrigues, A.C.D., and Costa, G.S. 2005. Ciclagem de nutrientes em Eucalyptus grandis W. Hill ex Maiden no Norte Fluminense. Revista Árvore. 29: 353-363.

12.Forest Silvicultural plan of Arab Dagh area. 2016. General Department of natural resources and watershed management, 120p.

13.Fu, W.J., Jiang, P.K., Zhou, G.M., and Zhao, K.L. 2014. Using Moran's I and GIS to study the spatial pattern of forest litter carbon density in a subtropical region of southeastern China. Biogeosciences. 11: 8. 2401-2409.‏

14.Goovaerts, P. 1999. Geostatistics in soil science. Geoderma. 89: 1-45.

15.Goovaerts, P. 1997. Geostatistics for natural resources evaluation. Oxford University Press, NewYork.

16.Goovaerts, P. 2009. AUTO-IK: a 2D indicator kriging program for the automated non-parametric modeling of local uncertainty in earth sciences. Computers and Geosciences. 35: 6. 1255-1270.

17.Hairiah, K., Sulistyani, H., Suprayogo, D., Purnomosidhi, P., Widodo, R.H., and Van Noordwijk, M. 2006. Litter layer residence time in forest and coffee agroforestry systems in Sumberjaya, West Lampung. Forest Ecology and Management. 224: 1-2. 45-57.

18.Hani, A., and Abari, S.A.H. 2011. Determination of Cd, Zn, K, pH, TNV, organic material and electrical conductivity (EC) distribution in agricultural soils using geostatistics and GIS (case study: South Western of Natanz, Iran). World Academy of Science, Engineering and Technology. 5: 12. 22-25.

19.Huang, C.C., Ge, Y., Zhu, J.R., Yuan, W.G., Qi, L.Z., Jiang, B., Shen, Q., and Chang, J. 2005. The litter of Pinus massoniana ecological public-welfare forest in Zhejiang province and its relationship with the community characters. Acta Ecologica Sinica.25: 2507-2513.

20.Isaaks, E.H., and Srivastava, R.M. 1989. An introduction to applied geostatistics. Oxford University, New York.

21.Johnston, K., Ver Hoef, J.M., Krivoruchko, K., and Lucas, N. 2001. Using ArcGIS geostatistical analyst. ESRI Press, Redlands, CA.

22.Jordan, C.F., and Escalante, G. 1980. Root productivity in an Amazonian rain forest. Ecology. 61: 14-18.

23.Jordan, C.F., and Herrera, R. 1981. Tropical rain forests: are nutrients really critical?. The American Naturalist.
117: 167-180.

24.Kedward, L., Allen, C.B., and Rendall, T.C. 2017. Efficient and exact mesh deformation using multiscale RBF interpolation. J. of Computational Physics. 345: 732-751.

25.Krivoruchko, K. 2012. Empirical bayesian kriging. esri, redlands,CA, USA. Available: online: <http:// www.esri.com/news/arcuser/1012/empirical-Bayesian-kriging.html> (accessed 17.10.15).

26.Krivoruchko, K., and Butler, K. 2013. Unequal probability-based spatial mapping. Esri, Redlands, CA, USA: Available online: <~/media/ Files/Pdfs/ news/arcuser/0313/unequal.pdf" xlink: type="simple"id="ir010">http://www.esri.com/esrinews/arcuser/spring2013/~/media/Files/Pdfs/news/arcuser/0313/unequal.pdf>.

27.Kunkel, M.L., Flores, A.N., Smith, T.J., McNamara, J.P., and Benner, S.G. 2011. A simplified approach for estimating soil carbon and nitrogen stocks in semi-arid complex terrain. Geoderma, 165: 1-11.

28.Lavelle, P., Barros, E., Blanchart, E., Brown, G., Desjardins, T., Mariani, L., and Rossi, J.P. 2001. Soil organic matter management in the tropics: why feeding the soil macro fauna? Nutrient Cycling in Agro Ecosystems. 61: 53-61.

29.Lavelle, P., and Spain, A.V. 2002. Soil ecology. Kluwer Academic Publication, Dordrecht, 654p.

30.Li, X.F., Chen, Z.B., Chen, H.B., and Chen, Z.Q. 2011. Spatial distribution of soil nutrients and their response to land use in eroded area of South China. Procedia Environmental Sciences. 10: 14-19.

31.Li, W., Zhang, C., and Wang, K. 2012. Comparison of geographically weighted regression and regression kriging for estimating the spatial distribution of soil organic matter. Geosciences and Remote Sensing. 49: 915-932.

32.Lin, Z., Chao, L., Wu, C., Hong, W., Hong, T., and Hu, X. 2017. Spatial analysis of carbon storage density of mid-subtropical forests using geostatistics: a case study in Jiangle County, southeast China. Acta Geochim. 37: 1. 90-101.

33.Ling, H., Chen, G.S., and Chen, Z.Q. 2009. The impact factors on forest litter of Chinese forest. J. of Subtropical Resources and Environment. 4: 66-71.

34.Liu, L., Wang, H., Dai, W., Lei, X., Yang, X., and Li, X. 2014. Spatial variability of soil organic carbon in the forestlands of northeast China. J. of Forestry Research. 25: 4. 867-876.

35.Liu, L., Jin, Y., Wang, J., Hong, Q., Pan, Z., and Zhao, J. 2019. Comparison of spatial interpolation methods on
slowly available potassium in soils. In IOP Conference Series: Earth and Environmental Science. 234: 1. 12-18. ‏

36.Liu, Z., Shao, M.A., and Wang, Y. 2011. Effect of environmental factors on regional soil organic carbon stocks across the Loess Plateau region,China. Agriculture, Ecosystems and Environment. 142: 184-194.

37.Luo, W., Taylor, M.C., and Parker, S.R. 2008. A comparison of spatial interpolation methods to estimate continuous wind speed surfaces using irregularly distributed data from England and Wales. International J. of Climatology. 28: 947-959.

38.Marimon Júnior, B.H. 2007. Relação entre diversidade arbórea e aspectos do ciclo biogeoquímico de uma floresta monodominante de Brosimum rubescens Taub. e uma floresta mista no leste mato-grossense.‏ Ph.D. Thesis. Departamento de Ecologia, Universidade de Brası ´lia, Brası ´lia, 252p. https://repositorio. unb.br/handle/10482/1145?locale=en.

39.Marimon-Junior, B.H., and John, D. 2008. A new instrument for measurement and collection of quantitative samples of the litter layer in forests. Forest Ecology and Management. 255: 7. 2244-2250.‏

40.Mishra, U., Torn, M.S., Masanet, E., and Ogle, S.M. 2012. Improving regional soil carbon inventories: combining
the IPCC carbon inventory method with regression kriging. Geoderma,189: 288-295.

41.Mueller, T.G., Pierce, F.J., Schabenberger, O., and Warncke, D.D. 2001. Map quality for site-specific fertility management. Soil Science Society of America J. 65: 5. 1547-1558.

42.Paucar-Munoz, H., Richer-Laflèche, M., and Bégin, Y. 2010. Field litter thickness assessed by gamma-ray spectrometry. Forest Ecology and Management. 260: 10. 1640-1645.‏

43.Pourbabai, H., and Namiranian, M. 1993. Investigating and determining the most appropriate dimensions of the sampling network and the plot size in planted forests (Tada pine). Master's thesis Forestry, Tarbiat Modares University. (In Persian)

44.Robertson, G.P. 2008. GS+: Geostatistics for the Environmental Sciences. Gamma Design, Plainwell, Mich.45.Qin, Q., Wang, H., Lei, X., Li, X.,Xie, Y., and Zheng, Y. 2019. Spatial variability in the amount of forest litter at the local scale in northeastern China: Kriging and cokriging approaches to interpolation. Ecology and Evolution. 10: 1. 778-790.

46.Robinson, T.P., and Metternicht, G. 2006. Testing the performance of spatial interpolation techniques for mapping soil properties. Computers and Electronics in Agriculture. 50: 97-108.

47.Saito, H., McKenna, S.A., Zimmerman, D.A., and Coburn, T.C. 2005. Geostatistical interpolation of object counts collected from multiple strip transects: ordinary kriging versus
finite domain kriging. Stochastic Environmental Research and Risk Assessment. 19: 1. 71-85.‏

 

48.Savelieva, E., Demyanov, V., Kanevski, M., Serre, M., and Christakos, G. 2005. BME-based uncertainty assessment
of the Chernobyl fallout. Geoderma. 128: 312-324.

49.Sayer, E.J. 2006. Using experimental manipulation to assess the roles of
leaf litter in the functioning of
forest ecosystems. Biological Reviews.
81: 1-31.

50.Scolforo, H.F., Scolforo, J.R.S., de Mello, J.M., de Mello, C.R., and Morais, V.A. 2016. Spatial interpolators for improving the mapping of carbon stock of the arboreal vegetation in Brazilian biomes of Atlantic forest and Savanna. Forest Ecology and Management.
376: 24-35.

51.Shen, Q., Wang, Y., Wang, X., Liu, X., Zhang, X., and Zhang, S. 2019. Comparing interpolation methods to predict soil total phosphorus in the Mollisol area of Northeast China. Catena. 174: 59-72.‏

52.Souza, J.A., and Davide, J.A. 2001. Deposic¸a ˜o de serapilheira e nutrientes em uma mata na ˜o minerada e em plantac¸o ˜es de bracatinga (Mimosa scabrella) e de eucalipto (Eucalyptus saligna) em a ´reas de minerac¸a ˜o de bauxita. CERNE, 7: 101-113: https:// www.redalyc.org/pdf/744/74470109.pdf.

53.Swift, M.J., and Bignell, D. 2000. Standard methods for assessment of soil biodiversity and land use practice. Alternatives to Slash and Burn Project Lecture Note 6B, ICRAF SE Asia, Bogor, 34p.

54.Vitousek, P.M., and Sanford, R.L. 1986. Nutrient cycling in moist tropical forests. Annual Review of Ecology, Evolution, and Systematics. 65: 285-298.

55.Yamamoto, J.K., and Landim, P.M.B. 2013. Geoestatística: Conceitos e aplicações, first ed. Oficina de Textos, São Paulo.

56.Yang, Y., Yang, J., Li, S., Zhang, X., and Zhu, D. 2009. Comparison of spatial interpolation methods for maize growth period. Transactions of the Chinese Society of Agricultural Engineering.
25: 9. 163-167.‏

57.Webster, R., and Oliver, M.A.2001. Geostatistics for environmental scientists. Wiley, New York.

58.Zare-mehrjardi, M., Taghizadeh-Mehrjardi, R., and Akbarzadeh, A. 2010. Evaluation of geostatistical techniques for mapping spatial distribution of soil PH, salinity and plant cover affected by environmental factors in Southern Iran. Notulae Scientia Biologicae. 2: 4. 92-103.

59.Zhang, C., and McGrath, D. 2004. Geostatistical and GIS analysis on soil organic carbon concentrations in grassland of southeastern Ireland from two different periods. Geoderma. 119: 261-275.

60.Zhang, F., Du, Q., Ge, H.L., Liu, A.X., Fu, W.J., and Ji, B.Y. 2012. Spatial distribution of forest carbon in Zhejiang Province with geostatistics based on CFI sample plots. Acta Ecologica Sinica.32: 5275- 5286.

61.Zhou, X., Wu, Z., Zheng, L., Cai, R., Luo, J., and Lin, H. 2008. Biomass and nutrient content of forest litter in natural forest of different intensity harvesting after ten years. Silva Science Teaching Resources. 44: 25-28.