Application of geographically weighted regression in estimating the effect of climate and site conditions on vegetation distribution in Haihe Catchment, China

Plant Ecology

Volumn 209, Issue 2, 2010, Pages 349-359

  Zhao, Na ^a,b   Yang, Yonghui ^a   Zhou, Xinyao ^a,b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Aspect; Climate; Elevation; Site condition; TWI; Vegetation

Indexed keywords

ASPECT; CATCHMENT; CLIMATE EFFECT; DIGITAL ELEVATION MODEL; ELEVATION; EVAPOTRANSPIRATION; GEOGRAPHICAL DISTRIBUTION; GROWTH RATE; LEAF AREA INDEX; MODIS; PRECIPITATION (CLIMATOLOGY); REGRESSION ANALYSIS; REMOTE SENSING; SITE EFFECT; SPATIAL DATA; SPATIAL VARIATION; TOPOGRAPHY; VEGETATION DYNAMICS; WATER AVAILABILITY;

CHINA; HAI BASIN;

EID: 77954235981     PISSN: 13850237     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11258-010-9769-y     Document Type: Article

References (39)

1. Akaike H (1973) Information theory and an extension of the maximum likelihood principle. In: 2nd symposium on information theory, pp 267-281.
2. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration-Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56 Rome, Italy.
3. Bader MY, Ruijten JJ (2008) A topography-based model of forest cover at the alpine tree line in the tropical Andes. J Biogeogr 35: 711-723.
4. Bennie J, Huntleya B, Wiltshirea A, Hill MO, Baxter R (2008) Slope, aspect and climate: spatially explicit and implicit models of topographic microclimate in chalk grassland. Ecol Model 216: 47-59.
5. Dobos E, Micheli E, Baumgardner MF, Biehl L, Helt T (2000) Use of combined digital elevation model and satellite radiometric data for regional soil mapping. Geoderma 97: 367-391.
6. Fang JY, Yoda K (1989) Climate and vegetation in China II. Distribution of main vegetation types and thermal climate. Ecol Res 4: 71-83.
7. Fang JY, Yoda K (1990) Climate and vegetation in China III. Water balance and distribution of vegetation. Ecol Res 5: 9-23.
8. Foody GM (2003) Geographical weighting as a further refinement to regression modeling: an example focused on the NDVI-rainfall relationship. Remote Sens Environ 88: 283-293.
9. Foody GM (2004) Spatial nonstationarity and scale-dependency in the relationship between species richness and environmental determinants for the sub-Saharan endemic avifauna. Global Ecol Biogeogr 13: 315-320.
10. Fotheringham AS, Brunsdon C, Charlton M (2002) Geographical weighted regression: the analysis of spatially relationships. Wiley, Chichester.
11. Gessler PE, Moore ID, Mckenzie NJ, Ryan PJ (1995) Soil-landscape modeling and spatial prediction of soil attributes. Int J GIS 9(4): 421-432.
12. Greenberg JA, Dobrowski SZ, Vanderbilt VC (2009) Limitations on maximum tree density using hyperspatial remote sensing and environmental gradient analysis. Remote Sens Environ 113: 94-101.
13. Guisan A, Zimmerman NE (2000) Predictive habitat distribution models in ecology. Ecol Model 135: 147-186.
14. Guisan A, Weiss SB, Weiss AD (1999) GLM versus CCA spatial modeling of plant species distribution. Plant Ecol 143: 107-122.
15. Helmlinger KR, Kumar P, Foufoula-Georgiou E (1993) On the use of digital elevation model data for Hortonian and fractal analyses of channel networks. Water Resour Res 29: 2599-2613.
16. Hennenberg KJ, Bruelheide H (2003) Ecological investigations on the northern distribution range of Hippocrepis comosa L. in Germany. Plant Ecol 166: 167-188.
17. Holben BH (1986) Characterization of maximum value composite from temporal AVHRR data. Int J Remote Sens 7: 1417-1423.
18. Holdridge LR (1947) Determination of world formation from simple climate data. Science 105: 367-368.
19. Kupfer JA, Farris CA (2007) Incorporating spatial non-stationarity of regression coefficients into predictive vegetation models. Landscape Ecol 22: 837-852.
20. Lassueur T, Joost S, Randin C (2006) Very high resolution digital elevation models: do they improve models of plant species distribution? Ecol Model 198: 139-153.
21. Legendre P (1993) Spatial autocorrelation: trouble or new paradigm? Ecology 74: 1659-1673.
22. Legendre P, Legendre L (1998) Numerical ecology (second English edition). Elsevier Science, Amsterdam, Netherlands.
23. Legendre P, Dale MRT, Fortin M, Gurevitch J, Hohn M, Myers D (2002) The consequences of spatial structure for the design and analysis of ecological field surveys. Ecography 25: 601-625.
24. Lichstein JW, Simons TR, Shriner SA, Franzreb KE (2002) Spatial autocorrelation and autoregressive models in ecology. Ecol Monogr 72: 445-463.
25. McVicar TR, Li LT, Niel TGV, Zhang L, Li R, Yang QK, Zhang XP, Mu XM, Wen ZM, Liu WZ, Zhao YA, Liu ZH, Gao P (2007) Developing a decision support tool for China's re-vegetation program: simulating regional impacts of afforestation on average annual streamflow in the Loess Plateau. For Ecol Manage 251: 65-81.
26. Moore ID, Gessler PE, Nielsen GA, Petersen GA (1993) Terrain attributes: estimation methods and scale effects. Wiley, London.
27. Neilson RP (1995) A model for predicting continental-scale vegetation distribution and water balance. Ecol Appl 5: 362-385.
28. Propastin PA, Kappas M (2008) Reducing uncertainty in modeling the NDVI-precipitation relationship: a comparative study using global and local regression techniques. GISci Remote Sens 45: 47-67.
29. Shepard D (1968) A two-dimensional interpolation function for irregularly-spaced data. In: Proceedings of the 1968 ACM National Conference, pp 517-524.
30. Wang Q, Ni J, Tenhunen J (2005a) Application of a geographically weighted regression analysis to estimate net primary production of Chinese forest ecosystem. Global Ecol Biogeogr 14: 379-393.
31. Wang Q, Adikua S, Tenhunena J, Granier A (2005b) On the relationship of NDVI with leaf area index in a deciduous forest site. Remote Sens Environ 94: 244-255.
32. Wang Y, Shi J, Jiang L et al (2008) The application of remote sensing data to analyzing the influence of water/thermal conditions on LAI of Qinghai-Tibet plateau. Remote Sens Land Resour 78: 81-86 (in Chinese with an English abstract).
33. Woodward FI (1987) Climate and plant distribution. Cambridge University Press, Cambridge, p 174.
34. Yang Y, Watanabe M, Li F, Zhang J, Zhang W, Zhai J (2006) Factors affecting forest growth and possible effects of climate change in the Taihang Mountains, northern China. Forestry 79: 135-147.
35. Ye H, Wang HL, Liu Y (2004) Simulation of incoming potential solar radiation in mountainous areas based on DEM. Remote Sens Technol Appl 19: 415-419 (in Chinese with an English abstract).
36. Zeng Y, Qiu X, Liu C, Jiang A (2005) Distributed modeling of direct solar radiation of rugged terrain over the Yellow River Basin. Acta Geographica Sinica 60(4): 680-688 (in Chinese with an English abstract).
37. Zeng Y, Qiu XF, He YJ, Shi GP, Liu CM (2009) Distribution modeling of monthly air temperature over the rugged terrain of the Yellow River Basin. Sci China Ser D-Earth Sci 52(5): 694-707 (in Chinese with an English abstract).
38. Zhang XY, Drake NA, Wainwright J, Mulligan M (1999) Comparison of slope estimates from low resolution DEMs: scaling issues and a fractal method for their solution. Earth Surf Process Landf 24: 763-779.
39. Zhang JT, Xi Y, Li J (2006) The relationships between environment and plant communities in the middle part of Taihang Mountain Range, North China. Community Ecol 7(2): 155-163.