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University of Chinese Academy of Sciences (2018)

Geographical Distribution and Climatic Suitability of Typical Eco-Economical Tree Species in the Dryland of Northwest China


Titre : Geographical Distribution and Climatic Suitability of Typical Eco-Economical Tree Species in the Dryland of Northwest China

Auteur : 张晓芹;

Grade : Doctoral Dissertation 2018

Université : University of Chinese Academy of Sciences

Résumé partiel
Land degradation and desertification are severe environmental problems in the arid and semi-arid regions of Northwest China.With the development of the western regions,the fragile ecological environment and the rapid development of economy have generated more prominent contradiction between people and land.Afforestation with eco-economical species has been an ideal choice to ease the contradiction.Since climate is the decisive factor affecting species distribution on macro-scale,the relationship between suitability and climate factors,and the impact of climatic spatial-temporal changes on species distribution have attracted increasing attentions.Within the context of global climate change,understanding the distribution of common eco-economical species and their responses to climate change will contribute to the improvement of afforestation in the arid and semi-arid areas of Northwest China.It is also of great significance to achieve a win-win outcome for improving people’s living standards and improving the ecological environment.A total of 10 tree species(Elaeagnus angustifolia,Nitraria sibirica,Lycium ruthenicum,Tamarix ramosissima,Haloxylon ammodendron,Caragana korshinskii,Calligonum mongolicum,Populus euphratica,Salix cheilophila and Xanthoceras sorbifolia)were selected in this study.Based on occurrence records from herbaria and published literature,and 13 climate factors from BIOCLIM,Holdridge life zone,and Kria index,the potential suitable distribution areas of the 10 species in the present climate scenarios(1950-2000)were simulated,using Max Ent(maximum entropy method)and GIS(geographic information system).Furthermore,the dominant climate factors that affected the distribution of each species were determined,and the relationship between the suitability and climate factors were analyzed.The 2070s(2060-2080)changes of suitable areas of each species under the four representative concentration pathways(RCPs)of greenhouse gases(GHGs)were also predicted.The main results are as follows :(1)The potentially suitable distribution areas of E.angustifolia,N.sibirica,and T.ramosissima are the largest,which span the arid,semi-arid,and semi-humid regions and humid regions with obvious dry seasons.The potential suitable distribution areas of L.ruthenicum,H.ammodendron,C.mongolicum,and P.euphratica are mostly confined to arid regions in Northwest China,while those of X.sorbifolia,S.cheilophila,and C.korshinskii are mostly concentrated in the semi-arid and semi-humid regions of Northwest and Northern China.(2)Humidity index(HI)is the most important factor affecting the suitability of most species,with the contribution rate of 56.1%,53.1%,and 52.3% for C.mongolicum,H.ammodendron,and P.euphratica,respectively,while only 4.7% and 1.0% for C.korshinskii and H.rhamnoide,respectively.Precipitation of wettest month(PWM),annual precipitation(AP),coldness index are important factors as well,among which,the effect of PWM is most significant on L.ruthenicum,while the effect of AP is most significant on X.sorbifolia.(3)Thermal-related climate factors play important roles in affecting the distribution of E.angustifolia and C.korshinskii,while for other species,hydrologyrelated climate factors play more important roles.Species habitat suitability curves in response to hydrology-related factors deviate from normal distribution in right for most species.Those curves in response to thermal-related factors mostly followed Gaussian distribution.(4)E.angustifolia is expected to benefit most from high GHGs emission scenarios(RCP 8.5),with a net increase of 57.5% for its suitable area

Mots clés : species distribution model; MaxEnt; potential distribution area; climatically suitable area; climate change;

Présentation (CNKI)

Page publiée le 7 avril 2019