Effects of road network on diversiform forest cover changes in the highest coverage region in China: An analysis of sampling strategies

Science of the Total Environment

Volumn 565, Issue , 2016, Pages 28-39

  Hu, Xisheng ^a   Wu, Zhilong ^a   Wu, Chengzhen ^a,b   Ye, Limin ^a   Lan, Chaofeng ^a   Tang, Kun ^a   Xu, Lu ^a   Qiu, Rongzu ^a  

^a FUJIAN AGRICULTURE AND FORESTRY UNIVERSITY   (China)

^b WUYI UNIVERSITY   (China)

Author keywords

Forest cover change; Forest transition; Fujian Province; Multinomial logistic regression; Sampling strategy

Indexed keywords

BIODIVERSITY; GLOBAL WARMING; REGRESSION ANALYSIS; ROADS AND STREETS; TRAFFIC CONTROL; TRANSPORTATION;

FOREST COVER CHANGE; FOREST TRANSITION; FUJIAN PROVINCE; MULTINOMIAL LOGISTIC REGRESSION; SAMPLING STRATEGIES;

FORESTRY;

FOREST COVER; MOTORWAY; REGRESSION ANALYSIS; ROAD; SAMPLING;

AFFORESTATION; ARTICLE; BIOPHYSICS; CHINA; CONTROLLED STUDY; DEFORESTATION; FOREST; FOREST COVER; HIGHWAY; LAND USE; LOGISTIC REGRESSION ANALYSIS; NONHUMAN; PRIORITY JOURNAL; REFORESTATION; SAMPLE SIZE; SAMPLING; SOCIOECONOMICS;

CHINA; FUJIAN;

EID: 84964906810     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2016.04.009     Document Type: Article

References (79)

1. Agresti A. An Introduction to Categorical Data Analysis 1996, John Wiley & Sons, New Jersey.
2. Aspinall R.J. Modelling land use change with generalized linear models: a multi-model analysis of change between 1860 and 2000 in Galatin Valley, Montana. J. Environ. Manag. 2004, 72:91-103.
3. Augustin N.H., Cummins R.P., French D.D. Exploring spatial vegetation dynamics using logistic regression and a multinomial logit model. J. Appl. Ecol. 2001, 38:991-1006.
4. Barbier E.B., Burgess J.C., Grainger A. The forest transition: towards a more comprehensive theoretical framework. Land Use Policy 2010, 27:98-107.
5. Bhatta K.P., Chaudhary R.P., Vetaas O.R. A comparison of systematic versus stratified-random sampling design for gradient analyses: a case study in subalpine Himalaya, Nepal. Phytocoenologia 2012, 42:191-202.
6. Cai X.J., Wu Z.F., Cheng J. Using kernel density estimation to assess the spatial pattern of road density and its impact on landscape fragmentation. Int. J. Geogr. Inf. Sci. 2013, 27:222-230.
7. Chase T.N., Pielke R.A., Kittel T.G.F., Nemani R.R., Running S.W. Simulated impacts of historical land cover changes on global climate in northern winter. Clim. Dyn. 1999, 16:93-105.
8. Clark J.S., Carpenter S.R., Barber M., Collins S., Dobson A., Foley J.A., Lodge D.M., Pascual M., Pielke R., Pizer W., Pringle C., Reid W.V., Rose K.A., Sala O., Schlesinger W.H., Wall D.H., Wear D.N. Ecological forecasts: an emerging imperative. Science 2001, 293:657-660.
9. Coffin A.W. From roadkill to road ecology: a review of the ecological effects of roads. J. Transp. Geogr. 2007, 15(5):396-406.
10. Crk T., Uriarte M., Corsi F., Flynn D.B.F. Forest recovery in a tropical landscape: what is the relative importance of biophysical, socioeconomic, and landscape variables?. Landsc. Ecol. 2009, 24:629-642.
11. Cui B.S., Zhao S.Q., Zhang K.J., Li S.C., Dong S.K., Bai J.H. Disturbance of Dabao highway construction on plant species and soil nutrients in Longitudinal Range Gorge Region (LRGR) of Southwestern China. Environ. Monit. Assess. 2009, 158(1-4):545-559.
12. Dabo-Niang S., Hamdad L., Ternynck C., Yao A.F. A kernel spatial density estimation allowing for the analysis of spatial clustering: application to monsoon Asia drought atlas data. Stoch. Env. Res. Risk A. 2014, 28:2075-2099.
13. Drummond M.A., Loveland T.R. Land-use pressure and a transition to forest-cover loss in the Eastern United States. Bioscience 2010, 60:286-298.
14. Dungan J.L., Perry J.N., Dale M.R.T., Legendre P., Citron-Pousty S., Fortin M.J., Jakomulska A., Miriti M., Rosenberg M.S. A balanced view of scale in spatial statistical analysis. Ecography 2002, 25:626-640.
15. Foley J.A., DeFries R.S., Asner G.P., Barford C., Bonan G., Carpenter S.R., Chapin F.S., Coe M.T., Daily G.C., Gibbs H.K., Helkowski J.H., Holloway T., Howard E.A., Kucharik C.J., Monfreda C., Patz J.A., Prentice I.C., Ramankutty N., Snyder P.K. Global consequences of land use. Science 2005, 80(309):570-574.
16. Forman R.T.T., Alexander L.E. Roads and their major ecological effects. Annu. Rev. Ecol. Syst. 1998, 29:207-231.
17. Forman R.T.T., Deblinger R.D. The ecological road effect zone of a Massachusetts (USA) suburban highway. Conserv. Biol. 2000, 14:36-46.
18. Forman R.T.T., Reineking B., Hersperger A.M. Road traffic and nearby grassland bird patterns in a suburbanizing landscape. Environ. Manag. 2002, 29:782-800.
19. Fotheringham A.S., Charlton M.E., Brunsdon C. Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis. Environ. Plan. A 1998, 30(11):1905-1927.
20. Fu W., Liu S.L., Dong S.K. Landscape pattern changes under the disturbance of road networks. Prog. Environ. Sci. 2010, 2:859-867.
21. Fujian Provincial Bureau of Statistics, Fujian Survey Team of National Bureau of Statistics Fujian Statistical Yearbook 2012 2012, China Statistical Press, Beijing.
22. Gan J.B., Jarrett A., Gaither C.J. Landowner response to wildfire risk: adaptation, mitigation or doing nothing. J. Environ. Manag. 2015, 159:186-191.
23. Garré S., Meeus S., Gulinck H. The dual role of roads in the visual landscape: a case-study in the area around Mechelen (Belgium). Landsc. Urban Plan. 2009, 92(2):125-135.
24. Gatrell A., Bailey T., Diggle P., Rowlingson B. Spatial point pattern analysis and its application in geographical epidemiology. Trans. Inst. Br. Geogr. 1996, 21:256-274.
25. Goldewijk K.K. Estimating global land use change over the past 300 years: the HYDE database. Glob. Biogeochem. Cycles 2001, 15:417.
26. Goldewijk K.K., Battjes J.J. A Hundred Year Database for Integrated Environmental Assessments 1997, National Institute of Public Health and the Environment, Bilthoven.
27. Greene W. Econometric Analysis 2008, Pearson/Prentice Hall, New Jersey. sixth ed.
28. Guisan A., Zimmermann N.E. Predictive habitat distribution models in ecology. Ecol. Model. 2000, 135:147-186.
29. Guisan A., Broennimann O., Engler R., Vust M., Yoccoz N.G., Lehmann A., Zimmermann N.E. Using niche-based models to improve the sampling of rare species. Conserv. Biol. 2006, 20(2):501-511.
30. Hamre L.N., Domaas S.T., Austad I., Rydgren K. Land-cover and structural changes in a western Norwegian cultural landscape since 1865, based on an old cadastral map and a field survey. Landsc. Ecol. 2007, 22:1563-1574.
31. Hansen M.C., Stehman S.V., Potapov P.V. Quantification of global gross forest cover loss. Proc. Natl. Acad. Sci. 2010, 107:8650-8655.
32. Hansen M.C., Potapov P.V., Moore R., Hancher M., Turubanova S.A., Tyukavina A., Thau D., Stehman S.V., Goetz S.J., Loveland T.R., Kommareddy A., Egorov A., Chini L., Justice C.O., Townshend J.R.G. High-resolution global maps of 21st-century forest cover change. Science 2013, 342:850-853.
33. Hirzel A., Guisan A. Which is the optimal sampling strategy for habitat suitability modelling. Ecol. Model. 2002, 157:331-341.
34. Htun N.Z., Mizoue N., Yoshida S. Changes in determinants of deforestation and forest degradation in Popa Mountain Park, Central Myanmar. Environ. Manag. 2013, 51:423-434.
35. Hu X.S., Wu C.Z., Hong W., Qiu R.Z., Li J., Hong T. Forest cover change and its drivers in the upstream area of the Minjiang River, China. Ecol. Indic. 2014, 46:121-128.
36. Jaeger J.A., Schwarz-von Raumer H.G., Esswein H., Müller M., Schmidt-Lüttmann M. Time series of landscape fragmentation caused by transportation infrastructure and urban development: a case study from Baden-Württemberg, Germany. Ecol. Soc. 2007, 12(1):22.
37. Johnson J.B., Omland K.S. Model selection in ecology and evolution. Trends Ecol. Evol. 2004, 19:101-108.
38. Karlson M., Mörtberg U. A spatial ecological assessment of fragmentation and disturbance effects of the Swedish road network. Landsc. Urban Plan. 2015, 134:53-65.
39. Krutilla K., William F.H., Doug B. Periurban deforestation in developing countries. For. Ecol. Manag. 1995, 74:181-195.
40. Lambin E.F., Meyfroidt P. Land use transitions: socio-ecological feedback versus socio-economic change. Land Use Policy 2010, 27:108-118.
41. Lambin E.F., Turner B.L., Geist H.J., Agbola S.B., Angelsen A., Bruce J.W., Coomes O.T., Dirzo R., Fischer G., Folke C., George P.S., Homewood K., Jacques I., Leemans R., Li X.B., Moran E.F., Mortimore M., Ramakrishnan P.S., Richards J.F., Skanes H., Steffen W., Stone G.D., Svedin U., Veldkamp T.A., Vogel C., Xu J.C. The causes of land-use and land-cover change: moving beyond the myths. Glob. Environ. Chang. 2001, 11(4):261-269.
42. Li T.A., Shilling F., Thorne J., Li F.M., Schott H., Boynton R., Berry A.M. Fragmentation of China's landscape by roads and urban areas. Landsc. Ecol. 2010, 25(6):839-853.
43. Liang J., Liu Y., Ying L.X., Li P., Xu Y., Shen Z.H. Road impacts on spatial patterns of land use and landscape fragmentation in three parallel rivers region, Yunnan Province, China. Chin. Geogr. Sci. 2014, 24(1):15-27.
44. Lira P.K., Tambosi L.R., Ewers R.M., Metzger J.P. Land-use and land-cover change in Atlantic Forest landscapes. For. Ecol. Manag. 2012, 278:80-89.
45. Liu S.L., Dong Y.H., Deng L., Liu Q., Zhao H.D., Dong S.K. Forest fragmentation and landscape connectivity change associated with road network extension and city expansion: a case study in the Lancang River Valley. Ecol. Indic. 2014, 36:160-168.
46. MacDonald K., Rudel T.K. Sprawl and forest cover: what is the relationship?. Appl. Geogr. 2005, 25:67-79.
47. MacNally R. Regression and model-building in conversation biology, biogeography and ecology: the distinction between - and reconciliation of - 'predictive' and 'explanatory' models. Biodivers. Conserv. 2000, 9:655-671.
48. Mather A.S. The forest transition. Area 1992, 24:367-379.
49. Meyfroidt P., Lambin E.F. Forest transition in Vietnam and displacement of deforestation abroad. Proc. Natl. Acad. Sci. 2009, 106:16139-16144.
50. Miller J.R., Joyce L.A., Knight R.L., King R.M. Forest roads and landscape structure in the southern Rocky Mountains. Landsc. Ecol. 1996, 11:115-127.
51. Millington J.D.A., Perry G.L.W., Romero-Calcerrada R. Regression techniques for examining land use/cover change: a case study of a Mediterranean landscape. Ecosystems 2007, 10:562-578.
52. Minoiu C., Reddy S.G. Kernel density estimation on grouped data: the case of poverty assessment. J. Econ. Inequal. 2014, 12(2):163-189.
53. Müller D., Zeller M. Land use dynamics in the central highlands of Vietnam: a spatial model combining village survey data with satellite imagery interpretation. Agric. Econ. 2002, 27:333-354.
54. Müller R., Müller D., Schierhorn F., Gerold G., Pacheco P. Proximate causes of deforestation in the Bolivian lowlands: an analysis of spatial dynamics. Reg. Environ. Chang. 2012, 12:445-459.
55. Nahuelhual L., Carmona A., Lara A., Echeverría C., González M.E. Land-cover change to forest plantations: proximate causes and implications for the landscape in south-central Chile. Landsc. Urban Plan. 2012, 107(1):12-20.
56. Nandy R.K.S., Kushwaha R.A.S.P.S. Forest cover dynamics analysis and prediction modeling using logistic regression model. Ecol. Indic. 2014, 45:444-455.
57. Newman M.E., McLaren K.P., Wilson B.S. Long-term socio-economic and spatial pattern drivers of land cover change in a Caribbean tropical moist forest, the Cockpit Country, Jamaica. Agric. Ecosyst. Environ. 2014, 186:185-200.
58. Parzen E. On estimation of a probability density function and mode. Ann. Math. Stat. 1962, 33:1065-1076.
59. Patarasuk R., Fik T.J. Spatial modelling of road network development, population pressure and biophysical properties of upland crop and forest conversions in Lop Buri province, Thailand, 1989-2006. Singap. J. Trop. Geogr. 2013, 34:120-136.
60. Redo D.J., Grau H.R., Aide T.M., Clark M.L. Asymmetric forest transition driven by the interaction of socioeconomic development and environmental heterogeneity in Central America. Proc. Natl. Acad. Sci. 2012, 109(23):8839-8844.
61. Reed R.A., Johnson-Barnard J., Baker W.L. Fragmentation of a forested Rocky Mountain landscape, 1950-1993. Biol. Conserv. 1996, 75(3):267-277.
62. Ren Y., Wei X., Wei X.H., Pan J.Z., Xie P.P., Song X.D., Peng D., Zhao J.Z. Relationship between vegetation carbon storage and urbanization: a case study of Xiamen, China. For. Ecol. Manag. 2011, 261:1214-1223.
63. Ren Y., Wei X.H., Zhang L., Cui S.H., Chen F., Xiong Y.Z., Xie P.P. Potential for forest vegetation carbon storage in Fujian Province, China, determined from forest inventories. Plant Soil 2011, 345:125-140.
64. Rudel T.K., Perez-Lugo M., Zichal H. When fields revert to forests: development and spontaneous reforestation in post-war Puerto Rico. Prof. Geogr. 2000, 52:386-397.
65. Rudel T.K., Coomes O.T., Moran E., Achard F., Angelsen A., Xu J., Lambin E. Forest transitions: towards a global understanding of land use change. Glob. Environ. Chang. 2005, 15(1):23-31.
66. Rutherford G.N., Guisan A., Zimmermann N.E. Evaluating sampling strategies and logistic regression methods for modelling complex land cover changes. J. Appl. Ecol. 2007, 414-424.
67. Selva N., Kreft S., Kati V., Schluck M., Jonsson B.G., Mihok B., Okarma H., Ibisch P.L. Roadless and low-traffic areas as conservation targets in Europe. Environ. Manag. 2011, 48(5):865-877.
68. Staff T.P.O. Correction: kernel density surface modelling as a means to identify significant concentrations of vulnerable marine ecosystem indicators. PLoS One 2015, 10(10):e0117752.
69. Venables W.N., Ripley B.D. Modern Applied Statistics With S 2002, Springer, New York. fourth ed.
70. Verburg P.H., Schot P., Dijst M.J., Veldkamp A. Land use change modelling: current practice and research priorities. GeoJournal 2004, 61:309-324.
71. Vitousek P.M., Mooney H.A., Lubchenco J., Melillo J.M. Human domination of earth's ecosystems. Science 1997, 277:494-499.
72. Wagner H.H., Fortin M.J. Spatial analysis of landscapes: concepts and statistics. Ecology 2005, 86:1975-1987.
73. Wimberly M.C., Ohmann J.L. A multi-scale assessment of human and environmental constraints on forest land cover change on the Oregon (USA) coast range. Landsc. Ecol. 2004, 19(6):631-646.
74. Xie Z., Yan J. Kernel density estimation of traffic accidents in a network space. Comput. Environ. Urban. Syst. 2008, 35:396-406.
75. Yackulic C.B., Fagan M., Jain M., Jina A., Lim Y., Marlier M., Muscarella R., Adame P., DeFries R., Uriarte M. Biophysical and socioeconomic factors associated with forest transitions at multiple spatial and temporal scales. Ecol. Soc. 2011, 16(3):15.
76. Yu W.H., Ai T.H., Shao S.W. The analysis and delimitation of Central Business District using network kernel density estimation. J. Transp. Geogr. 2015, 45:32-47.
77. Zhang Y.F., Tachibana S., Nagata S. Impact of socio-economic factors on the changes in forest areas in China. Forest Policy Econ. 2006, 9(1):63-76.
78. Zhang X.H., Huang Q.L., Zhang C. Analysis of forest landscape dynamics based on forest landscape restoration: a case study of Yong'an City, Fujian Province, China. Eur. J. For. Res. 2010, 129:975-980.
79. Zhou W.Q., G.L.H., Pickett S.T.A., Cadenasso M.L. 90 years of forest cover change in an urbanizing watershed: spatial and temporal dynamics. Landsc. Ecol. 2011, 26(5):645-659.