[1] W Anderson T, A Goodman L. Statistical inference about Markov Chains. Annals of Mathematical Statistics, 28, 89-110(1957).
[2] R Barbara, L Stefan. A spatially explicit patch model of habitat quality, integrating spatio-structural indicators. Ecological Indicators, 94, 128-141(2018).
[5] L Chu, C Huang, S Liu Q et al. Changes of coastal zone landscape spatial patterns and ecological quality in Liaoning Province from 2000 to 2010. Resources Science, 37, 1962-1972(2015).
[6] Y Deng, G Jiang W, J Wang W et al. Urban expansion led to the degradation of habitat quality in the Beijing-Tianjin-Hebei Area. Acta Ecologica Sinica, 38, 4516-4525(2018).
[7] W Dominique, S Gabriela, E Klaus. Predicting habitat quality of protected dry grasslands using Landsat NDVI phenology. Ecological Indicators, 91, 447-460(2018).
[8] B Fellman J, E Hood, W Dryer et al. Stream physical characteristics impact habitat quality for Pacific salmon in two temperate coastal watersheds. PloS One, 10, e0132652(2015).
[9] K Goldewijk K, A Beusen, V Drecht G et al. The HYDE 3.1 spatially explicit database of human-induced global land-use change over the past 12,000 years. Global Ecology and Biogeography, 20, 73-86(2010).
[10] M Haddad N, A Brudvig L, J Clobert et al. Habitat fragmentation and its lasting impact on Earth’s ecosystems. Science Advances, 1, e1500052(2015).
[11] N He F, C Li S, Z Zhang X. A spatially explicit reconstruction of forest cover in China over 1700-2000. Global & Planetary Change, 131, 73-81(2015).
[12] J He, J Huang, C Li. The evaluation for the impact of land use change on habitat quality: A joint contribution of cellular automata scenario simulation and habitat quality assessment model. Ecological Modelling, 366, 58-67(2017).
[13] M Hillard E, K Nielsen C, W Groninger J. Swamp rabbits as indicators of wildlife habitat quality in bottomland hardwood forest ecosystems. Ecological Indicators, 79, 47-53(2017).
[14] S Hu B, Y Zhang H. Simulation of land-use change in Poyang Lake region based on CA-Markov mode. Resources and Environment in the Yangtze Basin, 27, 1207-1219(2018).
[15] Q Jiang L, J Zhang L, Y Zang S et al. Comparison of approaches of spatially explicit reconstruction of cropland in the late Qing Dynasty. Acta Geographica Sinica, 70, 625-635(2015).
[16] P Jr R G, C Schneider L. Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agriculture Ecosystems & Environment, 85, 239-248(2001).
[17] F Li, L Wang, Z Chen et al. Extending the SLEUTH model to integrate habitat quality into urban growth simulation. Journal of Environmental Management, 217, 486-498(2018).
[18] C Li S, F Wang Z, L Zhang Y. Crop cover reconstruction and its effects on sediment retention in the Tibetan Plateau for 1900-2000. Journal of Geographical Sciences, 27, 786-800(2017).
[19] X Li. Geographical Simulation System: Cellular Automata and Multi-agent System(2007).
[20] F Li Z, F Bai Y. Landscape simulating of habitat quality change for oriental white stork in Naoli River Watershed. Acta Ecologica Sinica, 26, 4007-4013(2006).
[21] P Lin Y, C Lin W, C Wang Y et al. Systematically designating conservation areas for protecting habitat quality and multiple ecosystem services. Environmental Modelling & Software, 90, 126-146(2017).
[22] F Liu C, C Wang, C Liu L. Spatio-temporal variation on habitat quality and its mechanism within the transitional area of the Three Natural Zones: A case study in Yuzhong county. Geographical Research, 37, 419-432(2018).
[23] Y Liu C, W Zhu K, P Liu J. Evolution and prediction of land cover and biodiversity function in Chongqing section of Three Gorges Reservoir Area. Transactions of the Chinese Society of Agricultural Engineering, 33, 258-267(2017).
[24] S Liu Z, H Gao, W Teng L et al. Habitat suitability assessment of blue sheep in Helan Mountain based on MAXENT modeling. Acta Ecologica Sinica, 33, 7243-7249(2013).
[26] Y Long, X Jin, X Yang et al. Reconstruction of historical arable land use patterns using constrained cellular automata: A case study of Jiangsu, China. Applied Geography, 52, 67-77(2014).
[27] C Luo, H Xu W, X Zhou Z et al. Habitat prediction for forest musk deer (Moschus berezovskii) in Qinling Mountain range based on niche model. Acta Ecologica Sinica, 31, 1221-1229(2011).
[28] H Lv, B Guo X, D Zhao W. Characteristics and spatial pattern of land use change in Henan province. Chinese Journal of Agricultural Resources and Regional Planning, 38, 142-145(2017).
[29] T Newbold, N Hudson L, L Hill S et al. Global effects of land use on local terrestrial biodiversity. Nature, 520, 45-50(2015).
[30] R Otto C, L Roth C, L Carlson B et al. Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains. Proceedings of the National Academy of Sciences, 113, 10430-10435(2016).
[31] Y Pan, S Yu D, H Wang X et al. Prediction of land use landscape pattern based on CA-Markov model. Soils, 50, 391-397(2018).
[32] V Pechanec, J Purkyt, A Benc et al. Modelling of the carbon sequestration and its prediction under climate change. Ecological Informatics, 47, 50-54(2017).
[33] N Ramankutty, A Foley J. Estimating historical changes in global land cover: Croplands from 1700 to 1992. Global Biogeochemical Cycles, 13, 997-1027(1999).
[34] W Redhead J, C Stratford, K Sharps et al. Empirical validation of the InVEST water yield ecosystem service model at a national scale. Science of the Total Environment, 569, 1418-1426(2016).
[35] L Sallustio, A De T, A Strollo et al. Assessing habitat quality in relation to the spatial distribution of protected areas in Italy. Journal of Environmental Management, 201, 129-137(2017).
[36] H Tallis, T Ricketts, A Guerry et al. InVEST User’s Guide: Integrated Valuation of Environmental Services and Tradeoffs. Stanford:. The Natural Capital Project.(2013).
[37] X Tang, H Li, X Xu et al. Changing land use and its impact on the habitat suitability for wintering Anseriformes in China's Poyang Lake region. Science of the Total Environment, 557, 296-306(2016).
[39] Y Wang, S Atallah, G Shao. Spatially explicit return on investment to private forest conservation for water purification in Indiana, USA. Ecosystem Services, 26, 45-57(2017).
[40] S Wu J, W Cao Q, Q Shi S et al. Spatio-temporal variability of habitat quality in Beijing-Tianjin-Hebei Area based on land use change. Chinese Journal of Applied Ecology, 26, 3457-3466(2015).
[41] W Wu, H Lian W. Impact of construction land expansion on the Little Egret Habitat Networks in Su-Xi-Chang Area: From the perspective of ecosystem service function. Resources and Environment in the Yangtze Basin, 27, 1043-1050(2018).
[43] X Yang, X Jin, X Du et al. Multi-agent model-based historical cropland spatial pattern reconstruction for 1661-1952, Shandong Province, China. Global and Planetary Change, 143, 175-188(2016).
[44] H Yang X, X Jin, B Guo B et al. Research on reconstructing spatial distribution of historical cropland over 300 years in traditional cultivated regions of China. Global & Planetary Change, 128, 90-102(2015).
[45] H Yang X, B Jin X, A Lin Y et al. Review on China’s spatially-explicit historical land cover datasets and reconstruction methods. Progress in Geography, 35, 159-172(2016).
[47] J Zhang, V Hull, J Huang et al. Natural recovery and restoration in giant panda habitat after the Wenchuan earthquake. Forest Ecology & Management, 319, 1-9(2014).
[49] J Zhou, R Zhang X, Y Mu F et al. Spatial pattern reconstruction of soil organic carbon storage based on CA-Markov: A case study in Pan-Yangtze River Delta. Resources and Environment in the Yangtze Basin, 27, 1565-1575(2018).