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How to identify transitional geospace in mountainous areas?

An approach using a transitional index from the perspective of coupled human and natural systems

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Abstract

The coupling of humans and nature differs in terms of distribution and intensity, thus producing a gradient of synthetic geographical environments. Within this variety of gradients, the transitional zone represents a complex space where dynamic processes and unstable conditions are observed. Based on the concepts of ecotone and transitional zone, we propose a conceptual framework for the transitional geospace of coupled human and natural systems and a quantitative identification method for the zone. Taking the Sichuan Basin as an example, this study defined the strength and direction of the coupling of the natural ecosystem and socioeconomic system and divided different types of transitional geospace. The transitional geospace of the strong coupling type accounted for approximately 16.7% of the study area. Nine of the ten counties with the largest proportion of the type were formerly nationally poor counties in the study area. In the strong coupling type, human and nature jointly explained a high proportion of the variance in transitional stability (e.g., in Shifang city, with an unexplained proportion of 1.7%). The discovery and characterization of the transitional geospace types is crucial for facilitating more effective land use planning and sustainable balance among the population, resources, and environment.

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References

  • Antonelli A, Kissling W D, Flantua S G et al., 2018. Geological and climatic influences on mountain biodiversity. Nature Geoscience, 11(10): 718–725.

    Article  Google Scholar 

  • Arnaiz-Schmitz C, Schmitz M F, Herrero-Jáuregui C et al., 2018. Identifying socio-ecological networks in rural-urban gradients: Diagnosis of a changing cultural landscape. Science of the Total Environment, 612: 625–635.

    Article  Google Scholar 

  • Arnot C, Fisher P F, Wadsworth R et al., 2004. Landscape metrics with ecotones: Pattern under uncertainty. Landscape Ecology, 19(2): 181–195.

    Article  Google Scholar 

  • Baker L A, Jantz C, Millington J et al., 2011. Research on coupled human and natural systems (CHANS): Approach, challenges, and strategies. The Bulletin of the Ecological Society of America, 92(2): 218–228.

    Article  Google Scholar 

  • Blackwood C B, Smemo K A, Kershner M W et al., 2013. Decay of ecosystem differences and decoupling of tree community-soil environment relationships at ecotones. Ecological Monographs, 83(3): 403–417.

    Article  Google Scholar 

  • Camarero J J, Gutierrez E, Fortin M J, 2006. Spatial patterns of plant richness across treeline ecotones in the Pyrenees reveal different locations for richness and tree cover boundaries. Global Ecology and Biogeography, 15(2): 182–191.

    Article  Google Scholar 

  • Changnon S A, Kunkel K E, Winstanley D, 2002. Climate factors that caused the unique tall grass prairie in the central United States. Physical Geography, 23(4): 259–280.

    Article  Google Scholar 

  • Chen J, John R, Zhang Y et al., 2015. Divergences of two coupled human and natural systems on the Mongolian Plateau. Bioscience, 65(6): 559–570.

    Article  Google Scholar 

  • Chen Q, 2018. Hu Population Line and the transitional border between agriculture and pasture: A discussion from a new perspective. Pratacultural Science, 35(3): 669–676.

    Google Scholar 

  • Chen S, Xu G, Lyu Z et al., 2023. Spatio-temporal variations of fractional vegetation cover and its response to climate change and urbanization in China. Arid Land Geography, 1–10. (in Chinese)

  • Chen W, Li A, Hu Y et al., 2021. Exploring the long-term vegetation dynamics of different ecological zones in the farming-pastoral ecotone in northern China. Environmental Science and Pollution Research, 28(22): 27914–27932.

    Article  Google Scholar 

  • Dale M R, Fortin M, 2014. Spatial Analysis: A Guide for Ecologists. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Danz N P, Reich P B, Frelich L E et al., 2011. Vegetation controls vary across space and spatial scale in a historic grassland-forest biome boundary. Ecography, 34(3): 402–414.

    Article  Google Scholar 

  • Dauber J, Wolters V, 2004. Edge effects on ant community structure and species richness in an agricultural landscape. Biodiversity & Conservation, 13(5): 901–915.

    Article  Google Scholar 

  • Dawson A, Paciorek C J, Goring S J et al., 2019. Quantifying trends and uncertainty in prehistoric forest composition in the upper Midwestern United States. Ecology, 100(12): e02856.

    Article  Google Scholar 

  • Deng W, Zhang S, Zhang H et al., 2020. Transitional geospace from the perspective of human-nature coupling: Concept, connotations, attributes, and the research framework. Geographical Research, 39(4): 761–771. (in Chinese)

    Google Scholar 

  • Dewey J D, Montrosse B E, Sullins C D et al., 2007. Complexity of coupled human and natural systems. Science, 317(5844): 1513–1516.

    Article  Google Scholar 

  • Di Castri F, Hansen A J, 1992. The environment and development crises as determinants of landscape dynamics. In: Landscape Boundaries. Springer, 3–18.

  • Fan Y, Gan L, Hong C et al., 2021. Spatial identification and determinants of trade-offs among multiple land use functions in Jiangsu Province, China. Science of the Total Environment, 772: 145022.

    Article  Google Scholar 

  • Feng Y, 2019. Northwestern farming-pastoral zones in the perspective of historical geography. Journal of Arid Land Resources and Environment, 33(12): 83–89. (in Chinese)

    Google Scholar 

  • Feng Z, Tang Y, Yang Y et al., 2008. Relief degree of land surface and its influence on population distribution in China. Journal of Geographical Sciences, 18(2): 237–246.

    Article  Google Scholar 

  • Foster J R, D’Amato A W, 2015. Montane forest ecotones moved downslope in northeastern USA in spite of warming between 1984 and 2011. Global Change Biology, 21(12): 4497–4507.

    Article  Google Scholar 

  • Gatzweiler F W, 2014. Value, institutional complementarity and variety in coupled socio-ecological systems. Ecosystem Services, 10: 137–143.

    Article  Google Scholar 

  • Gosz J R, 1993. Ecotone hierarchies. Ecological Applications, 3(3): 369–376.

    Article  Google Scholar 

  • Hanks P, 1979. Collins Dictionary of the English language. London, London (UK) Collins.

  • Hill R A, Granica K, Smith G M et al., 2007. Representation of an alpine treeline ecotone in SPOT 5 HRG data. Remote Sensing of Environment, 110(4): 458–467.

    Article  Google Scholar 

  • Hufkens K, Ceulemans R, Scheunders P, 2008. Estimating the ecotone width in patchy ecotones using a sigmoid wave approach. Ecological Informatics, 3(1): 97–104.

    Article  Google Scholar 

  • Hufkens K, Scheunders P, Ceulemans R, 2009a. Ecotones in vegetation ecology: Methodologies and definitions revisited. Ecological Research, 24(5): 977–986.

    Article  Google Scholar 

  • Hufkens K, Scheunders P, Ceulemans R, 2009b. Validation of the sigmoid wave curve fitting algorithm on a forest-tundra ecotone in the Northwest Territories, Canada. Ecological Informatics, 4(1): 1–7.

    Article  Google Scholar 

  • Jin F, Wang C, Li X et al., 2010. China’s regional transport dominance: Density, proximity, and accessibility. Journal of Geographical Sciences, 20(2): 295–309.

    Article  Google Scholar 

  • Keller A A, Fournier E, Fox J, 2015. Minimizing impacts of land use change on ecosystem services using multi-criteria heuristic analysis. Journal of Environmental Management, 156: 23–30.

    Article  Google Scholar 

  • Kutuzov A V, 2018. The use of modern and archive remote sensing data for GIS monitoring of riparian ecosystems. Ecosystem Transformation, (1).

  • Laurance W F, Didham R K, Power M E, 2001. Ecological boundaries: A search for synthesis. Trends in Ecology & Evolution, 16(2): 70–71.

    Article  Google Scholar 

  • Li B, Hu Y, Chang Y et al., 2021. Analysis of the factors affecting the long-term distribution changes of wetlands in the Jing-Jin-Ji region, China. Ecological Indicators, 124: 107413.

    Article  Google Scholar 

  • Li J, Li L, 2012. Water resources supporting capacity to regional socio-economic development of China. Acta Geographica Sinica, 67(3): 410–419. (in Chinese)

    Google Scholar 

  • Li S, Sun Z, Tan M et al., 2018. Changing patterns in farming-pastoral ecotones in China between 1990 and 2010. Ecological Indicators, 89(1): 110–117.

    Article  Google Scholar 

  • Li W, Li P, Feng Z et al., 2021. Spatial definition of “Unpopulated Areas (UPAs)” based on the characteristics of human settlements in the Qinghai-Tibet Plateau, China. Acta Geographica Sinica, 76(9): 2118–2129. (in Chinese)

    Google Scholar 

  • Liu H, Fang C, Fang K, 2020b. Coupled Human and Natural Cube: A novel framework for analyzing the multiple interactions between humans and nature. Journal of Geographical Sciences, 30(3): 355–377.

    Article  Google Scholar 

  • Liu J, Gao J, Lv S et al., 2011. Shifting farming-pastoral ecotone in China under climate and land use changes. Journal of Arid Environments, 75(3): 298–308. (in Chinese)

    Article  Google Scholar 

  • Liu J, Wang J, Zhai T et al., 2021. Gradient characteristics of China’s land use patterns and identification of the east-west natural-socio-economic transitional zone for national spatial planning. Land Use Policy, 109: 105671.

    Article  Google Scholar 

  • Liu Y, Zang Y, Yang Y, 2020a. China’s rural revitalization and development: Theory, technology and management. Journal of Geographical Sciences, 30(12): 1923–1942.

    Article  Google Scholar 

  • Lloyd K M, McQueen A A, Lee B J et al., 2000. Evidence on ecotone concepts from switch, environmental and anthropogenic ecotones. Journal of Vegetation Science, 11(6): 903–910.

    Article  Google Scholar 

  • Ostrom E, 2009. A general framework for analyzing sustainability of social-ecological systems. Science, 325(5939): 419–422.

    Article  Google Scholar 

  • Peng J, Liu Y, Ma J et al., 2018. A new approach for urban-rural fringe identification: Integrating impervious surface area and spatial continuous wavelet transform. Landscape and Urban Planning, 175: 72–79.

    Article  Google Scholar 

  • Peng J, Ma J, Du Y et al., 2016. Ecological suitability evaluation for mountainous area development based on conceptual model of landscape structure, function, and dynamics. Ecological Indicators, 61: 500–511.

    Article  Google Scholar 

  • Peng L, Deng W, Zhang H et al., 2019. Focus on economy or ecology? A three-dimensional trade-off based on ecological carrying capacity in southwest China. Natural Resource Modeling, 32(2): e12201.

    Article  Google Scholar 

  • Plieninger T, Draux H, Fagerholm N et al., 2016. The driving forces of landscape change in Europe: A systematic review of the evidence. Land Use Policy, 57: 204–214.

    Article  Google Scholar 

  • Pryor R J, 1968. Defining the rural-urban fringe. Social Forces, 47(2): 202.

    Article  Google Scholar 

  • Qiao J, Yu D, Wu J, 2018. How do climatic and management factors affect agricultural ecosystem services? A case study in the agro-pastoral transitional zone of northern China. Science of the Total Environment, 613: 314–323.

    Article  Google Scholar 

  • Risser P G, 1995. The status of the science examining ecotones. Bioscience, 45(5): 318–325.

    Article  Google Scholar 

  • Shea M E, Clayton M K, Townsend P A et al., 2021. Identifying ecotone location using the co-occurrence property. Journal of Vegetation Science, 32(1): e12929.

    Article  Google Scholar 

  • Strayer D L, Power M E, Fagan W F et al., 2003. A classification of ecological boundaries. Bioscience, 53(8): 723–729.

    Article  Google Scholar 

  • Sun F, Wang Y, Chen Y et al., 2021. Historic and simulated desert-oasis ecotone changes in the arid Tarim River Basin, China. Remote Sensing, 13(4): 647.

    Article  Google Scholar 

  • Urbina-Cardona J N, Olivares-Pérez M, Reynoso V H, 2006. Herpetofauna diversity and microenvironment correlates across a pasture-edge-interior ecotone in tropical rainforest fragments in the Los Tuxtlas Biosphere Reserve of Veracruz, Mexico. Biological Conservation, 132(1): 61–75.

    Article  Google Scholar 

  • Vejre H, Jensen F S, Thorsen B J, 2010. Demonstrating the importance of intangible ecosystem services from peri-urban landscapes. Ecological Complexity, 7(3): 338–348.

    Article  Google Scholar 

  • Vizzari M, Hilal M, Sigura M et al., 2018. Urban-rural-natural gradient analysis with CORINE data: An application to the metropolitan France. Landscape and Urban Planning, 171: 18–29.

    Article  Google Scholar 

  • Wang Z, Yue Q, Xia H et al., 2016. China 2050: Climate scenarios and stability of Hu-Line. Sinica Terrae, 46(11): 1505–1514.

    Google Scholar 

  • Wehrwein G S, 1942. The rural-urban fringe. Economic Geography, 18(3): 217–228.

    Article  Google Scholar 

  • Williams J W, Shuman B, Bartlein P J, 2009. Rapid responses of the prairie-forest ecotone to early Holocene aridity in mid-continental North America. Global and Planetary Change, 66(3/4): 195–207.

    Article  Google Scholar 

  • Xiao D, Bu R, Li X, 1997. Spatial ecology and landscape heterogeneity. Acta Ecologica Sinica, 17(5): 543–461. (in Chinese)

    Google Scholar 

  • Xiao Z, Tian X, Li Y, 2022. The study of the relationship between soil erosion change and the human activity based on remote sensing and GIS at the regional scale: A case study in Jiangxi Province. Remote Sensing Technology and Application, 37(4): 971–981.

    Google Scholar 

  • Xu Y, Yu L, Peng D et al., 2020. Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm. Science China Earth Sciences, 63(9): 1390–1407.

    Article  Google Scholar 

  • Xu Z, Zhang Z, Li C, 2019. Exploring urban green spaces in China: Spatial patterns, driving factors and policy implications. Land Use Policy, 89: 104249.

    Article  Google Scholar 

  • Xue L, Zhu B, Wu Y et al., 2019. Dynamic projection of ecological risk in the Manas River basin based on terrain gradients. Science of the Total Environment, 653: 283–293.

    Article  Google Scholar 

  • Yang Y, Liu Y, Li Y et al., 2018. Quantifying spatio-temporal patterns of urban expansion in Beijing during 1985–2013 with rural-urban development transformation. Land Use Policy, 74: 220–230.

    Article  Google Scholar 

  • Yao X, Yu J, Jiang H et al., 2016. Roles of soil erodibility, rainfall erosivity and land use in affecting soil erosion at the basin scale. Agricultural Water Management, 174: 82–92.

    Article  Google Scholar 

  • Yu K, Feng Y, Zheng J et al., 2009. Land use changes and their ecological effects in urban-rural ecotone. Transactions of the Chinese Society of Agricultural Engineering, 25(3): 213–218. (in Chinese)

    Google Scholar 

  • Yu L, Zhang S, Liu T et al., 2015. Spatio-temporal pattern and spatial heterogeneity of ecotones based on land use types of southeastern Da Hinggan Mountains in China. Chinese Geographical Science, 25(2): 184–197.

    Article  Google Scholar 

  • Yu Q, Chen Y, Xu X, 2010. Concept discrimination on ‘Rural-urban Fringe’ in land use science. China Land Science, 24(8): 46–51. (in Chinese)

    Google Scholar 

  • Zhang B, 2019. Ten major scientific issues concerning the study of China’s northsouth transitional zone. Progress in Geography, 38(3): 305–311. (in Chinese)

    Google Scholar 

  • Zhang J, Zhou W, 2019. Spatial autocorrelation between topographic relief and population/economy in Sichuan Province. Bulletin of Soil and Water Conservation, 39(1): 250–257. (in Chinese)

    Google Scholar 

  • Zhang Y, Yang Q Y, Min J, 2016. An analysis of coupling between the bearing capacity of the ecological environment and the quality of new urbanization in Chongqing. Acta Geographica Sinica, 71(5): 817–828. (in Chinese)

    Google Scholar 

  • Zhang Y, Zhang D, 2022. Improvement of terrain niche index model and its application in vegetation cover evaluation. Acta Geographica Sinica, 77(11): 2757–2772. (in Chinese)

    Google Scholar 

  • Zhou T, Sun J, Shi P, 2021. Plant-microbe interactions regulate the aboveground community nitrogen accumulation rate in different environmental conditions on the Tibetan Plateau. Catena, 204: 105407.

    Article  Google Scholar 

  • Zou L, Liu Y, Wang J et al., 2021. An analysis of land use conflict potentials based on ecological-production-living function in the southeast coastal area of China. Ecological Indicators, 122: 107297.

    Article  Google Scholar 

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Correspondence to Hao Zhang.

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Foundation: The Key Programme of National Natural Science Foundation of China, No.41930651

Author: Deng Wei, PhD and Professor

Corresponding author: Zhang Hao, PhD Candidate

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Deng, W., Zhang, H., Zhang, S. et al. How to identify transitional geospace in mountainous areas?. J. Geogr. Sci. 33, 1205–1225 (2023). https://doi.org/10.1007/s11442-023-2126-6

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