Abstract
Forest fragmentation is an integral part of global change. Understanding forest fragmentation patterns and dynamics are of great significance for maintaining ecosystem stability. There are great differences in the interference of natural and human factors on forests in different towns of mountainous cities, and the characteristics of forest fragmentation are also obviously different. Forest fragmentation has been broadly studied, yet, it remains poorly understood at the township-scale within mountainous cities. In this study, the spatial form of forest landscape and forest fragmentation modes of towns were examined in Qujing City, Yunnan Province, China for the years of 2006 and 2016, relying heavily on the morphological spatial pattern analysis (MSPA) and K-means clustering algorithm. Results in 2016 showed that the forest landscape morphology of Qujing could be divided into seven classes: core, perforation, islet, bridge, edge, branch and ring; with landscape areas of 41.94%, 1.22%, 7.04%, 11.12%, 23.26%, 11.74% and 3.68%, respectively, while landscape areas of these types are 1.71%, −0.02%, 0.30%, −1.65%, −0.20%, −0.19% and 0.05%, respectively, in 2006. The townships in Qujing varied significantly in their landscape fragmentation patterns, and these patterns were spatially dependent. Different forest landscape forms have positive spatial correlations and differences. The forest fragmentation modes of towns can be divided into four types: Low anthropogenic towns, high anthropogenic towns, complex terrain towns and gentle terrain towns. Different ways of human activities play a decisive role in forest landscape fragmentation. The expansion of construction land and agricultural land intensifies forest fragmentation; however, man-made orderly and planned ecological restoration will greatly improve the forest coverage and improve the spatial form of urban forest landscape.
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References
Adepoju KA, Salami AT (2017) Geospatial assessment of forest fragmentation and its implications for ecological processes in tropical forests. J Landsc Ecol 10(2): 19–34. https://doi.org/10.1515/jlecol-2017-0002
Altunel AO, Çağlar TA, Açıkgöz AT (2021) Determining the habitat fragmentation thru geoscience capabilities in Turkey: a case study of wildlife refuges. Int J Eng Geosci 6(2):104–116. https://doi.org/10.26833/ijeg.712549
Butler BJ, Swenson JJ, Alig RJ (2004) Forest fragmentation in the Pacific Northwest: quantification and correlations. For Ecol Manage 189(1–3):363–373. https://doi.org/10.1016/j.foreco.2003.09.013
Çakir G, Sivrikaya F, Keleş S (2008) Forest cover change and fragmentation using landsat data in Maçka State Forest Enterprise in Turkey. Environ Monit Assess: 51–66. https://doi.org/10.1007/s10661-007-9728-9
D’Eon RG (2002) Forest fragmentation and forest management: A plea for empirical data. For Chron 78(5):686–689. https://doi.org/10.5558/tfc78686-5
Dong JW, Xiao XM, Sheldon S, et al. (2014) A 50-m forest cover map in Southeast Asia from ALOS/PALSAR and its application on forest fragmentation assessment. Plos One 9 (1): e85801. https://doi.org/10.1371/journal.pone.0085801
Estreguil C, Mouton C (2009) Measuring and Reporting on Forest Landscape Pattern, Fragmentation and Connectivity in Europe, Methods and Indicators. Office for Official Publications of the European Communities. p13. http://publications.jrc.ec.europa.eu/repository/bitstream/JRC51802/eur23841en_estreguil%20and%20mouton%202009.pdf
Fahrig L (2001) How much habitat is enough? Biol Conserv 100:65–74. https://doi.org/10.1016/S0006-3207(00)00208-1
Ekstrom M (1980) Digital image processing. IEEE Transactions on Acoustics Speech and Signal Processing 28(4):484–486. https://doi.org/10.1109/TASSP.1980.1163437
Guo ZF, Ma YX, Li HM (2007) Impact of human activities on forest landscape in the Liushahe watershed in Xishuangbanna, Southwest China. Research of Soil and Water Conservation 14(001):38–42. (In Chinese) https://doi.org/10.3969/j.issn.1005-3409.2007.01.011
Hartigan JA, Wong MA (1979) Algorithm as 136: a k-means clustering algorithm. Journal of the Royal Statistical Society. Series C (Applied Statistics) 28(1): 100–108. https://doi.org/10.2307/2346830
Kang MM (2018) The adopt width of forest corridor for different species biodiversity service. For Environ Sci 34(03):46–50. (In Chinese) https://doi.org/10.3969/j.issn.1006-4427.2018.03.007.
Liu JF, Xiao WF, Jiang ZP, et al. (2005) A study on the influence of landscape fragmentation on biodiversity. For Res 18(2):222–226. (In Chinese) https://doi.org/10.3321/j.issn:1001-1498.2005.02.023
Long HX, Shi WP, Liu JL (2018) research review and outlook of forest fragmentation and its solutions in china. World Forestry, Research 31(1):69–74. (In Chinese) https://doi.org/10.13348/j.cnki.sjlyyj.2018.0006.y
Lord JM, Norton DA (1990) Scale and the spatial concept of fragmentation. Conserv Biol 4(2):197–202. https://doi.org/10.1111/j.1523-1739.1990.tb00109.x
Moreno ML, Bernaschini ML, Pérez-Harguindeguy N, et al. (2020) Chaco forest fragmentation effects on leaf litter decomposition are not explained by changes in litter fauna. Austral Ecol 45(1):27–34. https://doi.org/10.1111/aec.12824
Rahman MF, Jashimuddin M, Islam K, et al. (2017) Land use change and forest fragmentation analysis: A geoinformatics approach on Chunati Wildlife Sanctuary, Bangladesh. Soc Sci Electron Publishing 2(1):20–29. https://doi.org/10.17352/2455-488X.000010
Reddy CS, Pasha SV, Satish KV, et al. (2018) Quantifying nationwide land cover and historical changes in forests of Nepal (1930–2014): implications on forest fragmentation. Biodivers Conserv 27(1):91–107. https://doi.org/10.1007/s10531-017-1423-8
Ren XY, Lu YY, Li MS (2014) Assessing dynamic patterns of forest fragmentation based on a landscape mosaic indicator:a case study of Oregon State, USA. Chinese J Appl Ecol 25(8):2317–2326. (In Chinese) https://doi.org/10.13287/j.1001-9332.20140530.004
Riitters KH, Wickham JD, O’Neill RV, et al. (2000) Global-scale patterns of forest fragmentation. Ecol Soc 4(2):1924–1925. https://doi.org/10.5751/ES-00209-040203
Riitters KH, Wickham JD, O’Neill RV, et al. (2002) Fragmentation of continental United States forests. Ecosystems 5(8):0815–0822. https://doi.org/10.1007/s10021-002-0209-2
Riitters KH, Wickham JD (2003) How far to the nearest road. Front Ecol Environ 1(3):125–129. https://doi.org/10.1890/1540-9295(2003)001[0125:HFTTNR]2.0.CO;2
Riitters KH, Coulston JW (2005) Hot spots of perforated forest in the eastern United States. Environ Manage 35(4):483–492. https://doi.org/10.1007/s00267-003-0220-1
Rogan J, Wright TM, Cardille J, et al. (2016) Forest fragmentation in Massachusetts, USA: a town-level assessment using Morphological spatial pattern analysis and affinity propagation. Mapping Sci Remote Sens 53(4):506–519. https://doi.org/10.1080/15481603.2016.1141448
Rong H, Li MS, Shen WJ, et al. (2012) Assessment of forest fragmentation driven by the intensive urbanization—a case study of Yuhang district. J Northwest for Univ 27(1):178–183. https://doi.org/10.3969/j.issn.1001-7461.2012.01.36
Saura S, Vogt P, Velázquez J, et al. (2011) Key structural forest connectors can be identified by combining landscape spatial pattern and network analyses. For Ecol Manage 262(2):150–160. https://doi.org/10.1016/j.foreco.2011.03.017
Schroder B, Seppelt R (2006) Analysis of pattern-process interactions based on landscape models — overview, general concepts, and methodological issues. Ecol Modeling 199(4): 505–516. https://doi.org/10.1016/j.ecolmodel.2006.05.036
Soille P (1999) Morphological image analysis: principles and applications. Sensor Rev 28(5):800–801. https://doi.org/10.1007/978-3-662-03939-7
Soille P, Vogt P (2009) Morphological segmentation of binary patterns. Pattern Recognit Lett 30(4):456–459. https://doi.org/10.1016/j.patrec.2008.10.015
Soverel NO, Coops NC, White JC, et al. (2010) Characterizing the forest fragmentation of Canada’s national parks. Environ Moni Assess 164(1–4): 481–499. https://doi.org/10.1007/s10661-009-0908-7
Taubert F, Fischer R, Groeneveld J, et al. (2018) Global patterns of tropical forest fragmentation. Nature 554(7693):519–522. https://doi.org/10.1038/nature25508
Vogelmann JE (1995) Assessment of forest fragmentation in southern New England using remote sensing and geographic information systems technology. Conserv Biol 9(2):439–449. https://doi.org/10.1046/j.1523-1739.1995.9020439.x
Vogt P, Riitters KH, Estreguil C, et al. (2007) Mapping spatial patterns with morphological image processing. Landsc Ecol 22(2):171–177. https://doi.org/10.1007/s10980-006-9013-2
Vogt P, Riitters KH, Iwanowski M, et al. (2006) Mapping landscape corridors. Ecol Indic 7(2):481–488. https://doi.org/10.1016/j.ecolind.2006.11.001
Wang JP, Liu ZD (2019) Spatial difference of comprehensive development level of town area units in Guangdong province. J Ludong Univ (Natural Science Edition) 35(2):80–87. (In Chinese) https://doi.org/10.3969/j.issn.1673-8020.2019.02.013
Wu YP, Wang QN, Luo YY (2017) MSPA methodology based research on the green infrastructure network structure in Chengdu. J Northwest For Univ 32(4):260–265. (In Chinese) https://doi.org/10.3969/j.issn.1001-7461.2017.04.44
Wulder MA, White JC, Han T, et al. (2008) Monitoring Canada’s forests. part 2: national forest fragmentation and pattern. Can J Remot Sens 34(6):563–584. https://doi.org/10.5589/m08-081
Xu F, Yin HW, Kong FH, et al. (2015) Developing ecological networks based on mspa and the least-cost path method: a case study in bazhong western new district. J Ecol 35(19):6425–6434. (In Chinese) https://doi.org/10.5846/stxb201402130248
Yang YZ, Xue DD, Zhang H, et al. (2016) Analysis on dynamic development of landscape fragmentation for urban forest in fast-urbanization regions. Journal of South China Agricultural University 37 (4): 97–104. (In Chinese) https://doi.org/10.7671/j.issn.1001-411X.2016.04.016
Yu YP, Yin HW, Kong FH, et al. (2016) Analysis of the temporal and spatial pattern of the green infrastructure network in Nanjing, based on MSPA. Chinese J Ecol 35(6):1608–1616. (In Chinese) https://doi.org/10.13292/j.1000-4890.201606.026
Zhang C, Chen YL, Lu DS (2015) Detecting fractional land-cover change in arid and semiarid urban landscapes with multitemporal landsat thematic mapper imagery. GIScience Remot Sens 52(6):1–23. https://doi.org/10.1080/15481603.2015.1071965
Zuidema PA, Sayer JA, Dijkman W (1996) Forest fragmentation and biodiversity: the case for intermediate-sized conservation areas. Environ Conserv 23 (4):290–297. https://doi.org/10.1017/S037689290003914X
Acknowledgements
The authors acknowledge the support from Professor Kou Weili for valuable comments on drafts of the paper. The research reported in this manuscript is funded by the Joint Special Project on Agricultural Basic Research of Yunnan Province, China[Grant No. 18YJAZH032]; Humanities and Social Sciences Research Program of the Ministry of Education of China [Grant No. 2018FG001-065]; National Natural Science Foundation of China [Grant No. 31760212]. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funders.
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Huang, Xy., Ye, Yh., Zhang, Zy. et al. A township-level assessment of forest fragmentation using morphological spatial pattern analysis in Qujing, Yunnan Province, China. J. Mt. Sci. 18, 3125–3137 (2021). https://doi.org/10.1007/s11629-021-6752-0
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DOI: https://doi.org/10.1007/s11629-021-6752-0