×
验证码:
换一张
Forgotten Password?
Stay signed in
×
Log In
Chinese
|
English
中国科学院昆明植物研究所知识管理系统
Knowledge Management System of Kunming Institute of Botany,CAS
Log In
Register
ALL
ORCID
Title
Creator
Subject Area
Keyword
Funding Project
Document Type
Source Publication
Indexed By
Publisher
Date Issued
Date Accessioned
MOST Discipline Catalogue
Study Hall
Image search
Paste the image URL
Home
Collections
Authors
DocType
Subjects
K-Map
News
Search in the results
Collection
昆明植物所硕博研究... [54]
中国科学院东亚植物多... [8]
离退休 [6]
资源植物与生物技术所... [5]
共享文献 [4]
云南省植物学会 [1]
More...
Authors
胡茜 [1]
牛洋 [1]
Sun Hang [1]
周浙昆 [1]
胡虹 [1]
杨云强 [1]
More...
Document Type
Thesis [54]
Journal a... [22]
Book [1]
Academic p... [1]
Conference... [1]
Date Issued
2018 [1]
2017 [8]
2016 [3]
2015 [4]
2014 [9]
2013 [6]
More...
Language
中文 [70]
Source Publication
云南植物研究 [8]
植物分类与资源学报 [5]
云南农业科技 [1]
古生物学报 [1]
园艺学报 [1]
地质论评 [1]
More...
Funding Project
GST, P < 0.05) were exhibited by this species. The SAMOVA revealed seven diverging groups of related chlorotypes, six of them had distinct nonoverlapping geographical ranges: one in the northeast comprising 10 populations, a second with a southeast distribution comprising 22 populations, and the remaning four groups comprising 15 populations located in the west part of the species’ range along different river valleys. The genetic clustering of populations into three regions was also supported by analysis of molecular variance, which showed that most genetic variation (82.43%) was found among these three regions. Two clusters were distinguished by both phylogenetic analysis and genealogical analysis of chlorotypes, one consisting of chlorotypes from the western region and the second consisting of those from the eastern region. Significant genetic differences between the two regions might be attributed to vicariance and restricted gene flow, and this vicariance could be explained by the physical environmental heterogeneity on each side of the Tanaka-Kaiyong Line. Following the uplift of the Tibetan Plateau, the reorganization of the major river drainages was primarily caused by river separation and capture events. These historical events could change the distribution of S. davidii from fragmented to continuous (Upper/Lower Jinshajiang and Yalongjiang/Daduhe), and from continuous to fragmented (Nujiang and Jinshajiang/Honghe). However, spatial and temporal patterns of phylogeographic divergence are strongly associated with historical disjunction rather than modern drainage connections. Moreover, the following north-south split in the eastern region and effective isolation with their genetic diversity were essentially modelled by genetic drift. The higher chlorotype richness and genetic divergence for populations in western region compared with other two regions suggests that there were multipe refugia or in situ survival of S. davidii in the Himalayan-Hengduan Mountain region. Fixation of chlorotypes in the northeastern region and near fixation in the southeastern region suggest a recent colonization of these areas. We further found that this species underwent past range expansion around 37-303 thousand years ago (kya). The southeastern populations likely experienced a demographic expansion via unidirectional gene flow along rivers, while northeastern populations underwent a more northward expansion, both from initial populations (s) (21, 22, 23) preserved on eastern refugia (Jinshajiang). This process might have been accompanied with a series of founder effects or bottlenecks making populations genetically impoverished. 3. Phylogeographic analysisbased on nuclear sequence，We sequenced the nuclear (ncpGS) region in all populations sampled, recovering 23 nuclear haplotypes. Compared to cpDNA, both NST (0.470) and GST (0.338) were relatively lower, but NST was also significantly larger than GST. 37.10% of the total variation was distributed among regions which was much lower than that shown by chlorotypes. Thus, more extensive distribution of nuclear haplotypes was exhibited across the geographical range instead of the strong population subdivision observed in chlorotypes. Similarly to the chloroplast data, we found that genetic differentiation of nDNA was positively correlated with the geographical distance, but the increase in the geographical distance between populations did not increase the genetic differentiation of nDNA as rapidly as that of cpDNA. These contrasting levels between the chloroplast and nuclear genomes of S. davidii are likely due to limited gene flow of cpDNA by seeds vs. the extensive gene flow of nDNA by wind-mediated pollen in the population history. We also determined from nuclear markers that haplotype diversity was reduced in the southeastern and northeastern regions due to the loss of rare haplotypes in western region. This reduction of gene diversity is also a signature of founder events or recent bottleneck during post-glacial colonization. However, nuclear diversity within populations remains high. This provides evidence that regionally pollen flow might be sufficiently high to blur the genetic identity of founder populations over a reasonably large spatial scale.3. Relationships among three varieties，The phylogenetic analysis identified two phylogroups of chlorotypes, corresponding to S. davidii var. davidii and var. chuansinesis. The former was distinguished by the abscence of predonminant nuclear haplotype H1 of the latter. The monophyletic group of chlorotypes in var. davidii and var. liangshanesis showed their relatively close relationship. And their genetic divergence from the third variety appears to be relative to their slight morphological difference in leaf size and the divergent environmental niche spaces they occupy. Thus, the observed differences in morphological characters between var. chuansinesis and other two varieties can be explained by the seed dispersal limitation illustrated above (as inferred by geographical separation) and by environmental heterogeneity (as inferred by precipitation or elevation) or by a combination of both. After all, the geological changes, drainage reorganization, and floristic differences following the Himalayan uplift have been suggested to affect the genetic structure of S. davidii. These results provide new insights into the phylogeographic pattern of plants in China. In addition, the unique population genetic structure found in S. davidii has provided important insights into the evolutionary history of this species. The genetic profile uncovered in this study is also critical for its conservation management. Our study has uncovered the existence of at least two ‘evolutionary significant units’ independent units within S. davidii, corresponding to var. davidii from eastern region and var. chuansinensis from western region. The conservation efforts should first focus on most western populations and on the southeastern ones exhibiting high levels of genetic diversity, while the genetically homogeneous northeastern populations located in the degraded Loess Plateau should require much greater conservation efforts.","jscount":"1","jsurl":"/simple-search?field1=all&rpp=10&accurate=false&advanced=false&sort_by=2&isNonaffiliated=false&search_type=-1&query1=%25E5%258F%25B6%25E7%2589%2587%25E5%25BD%25A2%25E6%2580%2581&order=desc&&fq=dc.project.title_filter%3ASophora%5C+davidii%5C+%5C%28Franch.%5C%29%5C+Skeels%5C+is%5C+an%5C+endemic%5C+species%5C+to%5C+China%2C%5C+and%5C+widely%5C+distributed%5C+in%5C+the%5C+dry%5C+valleys%5C+of%5C+the%5C+Himalayan%5C-Hengduan%5C+Mountain%5C+Systems%2C%5C+the%5C+Yungui%5C+Plateau%2C%5C+the%5C+Qinling%5C+Mountain%2C%5C+the%5C+Loess%5C+Plateau%5C+and%5C+other%5C+places%5C+of%5C+China.%5C+Previous%5C+studies%5C+of%5C+plant%5C+phylogeography%5C+have%5C+focused%5C+mainly%5C+on%5C+some%5C+taxa%5C+from%5C+the%5C+mountainous%5C+areas%5C+of%5C+China%2C%5C+relatively%5C+few%5C+studies%5C+have%5C+been%5C+conducted%5C+on%5C+plant%5C+taxa%5C+from%5C+the%5C+river%5C+valleys.%5C+The%5C+population%5C+dynamics%5C+and%5C+evolutionary%5C+history%5C+of%5C+species%5C+in%5C+such%5C+habitat%5C+remain%5C+less%5C+unknown%2C%5C+including%5C+the%5C+factors%5C+affecting%5C+the%5C+population%5C+genetic%5C+structure%5C+and%5C+its%5C+potential%5C+refugia%5C+in%5C+glaciation.%5C+In%5C+this%5C+study%2C%5C+we%5C+first%5C+determine%5C+the%5C+chromosome%5C+number%2C%5C+ploidy%5C+and%5C+karyotype%5C+of%5C+most%5C+populations%5C+we%5C+sampled.%5C+Then%2C%5C+based%5C+on%5C+sequence%5C+data%5C+from%5C+two%5C+maternally%5C+inherited%5C+cpDNA%5C+and%5C+one%5C+biparentally%5C+inherited%5C+nuclear%5C+DNA%5C+fragments%2C%5C+our%5C+study%5C+revealed%5C+the%5C+genetic%5C+diversity%5C+and%5C+population%5C+genetic%5C+structure%5C+of%5C+S.%5C+davidii%5C+and%5C+factors%5C+affecting%5C+them.%5C+The%5C+demographic%5C+history%5C+and%5C+potential%5C+refugia%5C+of%5C+this%5C+speices%5C+were%5C+investigated%5C+and%5C+the%5C+genetic%5C+relationship%5C+among%5C+three%5C+varieties%5C+was%5C+also%5C+clarified.%5C+The%5C+main%5C+results%5C+are%5C+summarized%5C+as%5C+follows%5C%3A1.%5C+Cytogeography%EF%BC%8CThe%5C+chromosome%5C+number%5C+and%5C+karyotypes%5C+of%5C+14%5C+S.%5C+davidii%5C+populations%5C+have%5C+been%5C+studied.%5C+The%5C+results%5C+showed%5C+that%5C+the%5C+choromosome%5C+number%5C+of%5C+all%5C+the%5C+populations%5C+is%5C+2n%5C+%3D%5C+18.%5C+The%5C+interphase%5C+nuclei%5C+and%5C+prophase%5C+chromosomes%5C+of%5C+the%5C+species%5C+were%5C+found%5C+to%5C+be%5C+of%5C+the%5C+complex%5C+chromosome%5C+type%5C+and%5C+interstitial%5C+type.%5C+The%5C+results%5C+of%5C+karyotype%5C+analysis%5C+showed%5C+that%5C+7%5C+of%5C+14%5C+materials%5C+has%5C+satellites%2C%5C+and%5C+the%5C+number%5C+and%5C+position%5C+of%5C+satellites%5C+differ%5C+among%5C+populations%2C%5C+and%5C+thus%5C+revealed%5C+a%5C+series%5C+of%5C+diversified%5C+karyotypes.%5C+With%5C+most%5C+populations%5C+being%5C+of%5C+ploidy%2C%5C+cytogenetical%5C+divergence%5C+within%5C+the%5C+species%5C+lied%5C+mainly%5C+in%5C+chromosome%5C+size%5C+and%5C+structure.%5C+The%5C+fact%5C+that%5C+polyploidization%5C+did%5C+not%5C+occur%5C+very%5C+often%5C+for%5C+variations%5C+in%5C+Southwest%5C+China%5C+was%5C+against%5C+viewpoint%5C+that%5C+polyploidization%5C+level%5C+in%5C+this%5C+area%5C+is%5C+higher%5C+than%5C+that%5C+of%5C+other%5C+distribution%5C+areas%5C+due%5C+to%5C+the%5C+elevation%5C+of%5C+mountains%5C+and%5C+plateau.%5C+2.%5C+Phylogeographic%5C+analysisbased%5C+on%5C+chloroplast%5C+sequence%EF%BC%8CWe%5C+sequenced%5C+two%5C+cpDNA%5C+fragments%5C+rpl32%5C-trnL%5C%28UAG%5C%29intergenic%5C+spacer%5C+and%5C+trnH%5C-psbA%5C+spacer%5C+in%5C+40%5C+populations%5C+sampled%2C%5C+recovering%5C+22%5C+chlorotypes.%5C+The%5C+average%5C+with%5C-in%5C+population%5C+diversity%5C+%5C%28hS%5C+%3D%5C+0.171%5C%29%5C+was%5C+much%5C+lower%5C+than%5C+total%5C+genetic%5C+diversity%5C+%5C%28hT%5C+%3D%5C+0.857%5C%29.%5C+Population%5C+differentiation%5C+was%5C+high%5C+%5C%28NST%5C+%3D%5C+0.924%2C%5C+GST%5C+%3D%5C+0.801%5C%29%5C+indicating%5C+low%5C+levels%5C+of%5C+seed%5C-based%5C+gene%5C+flow%5C+and%5C+significant%5C+phylogeographical%5C+stucture%5C+%5C%28NST%5C+%3E%5C+GST%2C%5C+P%5C+%3C%5C+0.05%5C%29%5C+were%5C+exhibited%5C+by%5C+this%5C+species.%5C+The%5C+SAMOVA%5C+revealed%5C+seven%5C+diverging%5C+groups%5C+of%5C+related%5C+chlorotypes%2C%5C+six%5C+of%5C+them%5C+had%5C+distinct%5C+nonoverlapping%5C+geographical%5C+ranges%5C%3A%5C+one%5C+in%5C+the%5C+northeast%5C+comprising%5C+10%5C+populations%2C%5C+a%5C+second%5C+with%5C+a%5C+southeast%5C+distribution%5C+comprising%5C+22%5C+populations%2C%5C+and%5C+the%5C+remaning%5C+four%5C+groups%5C+comprising%5C+15%5C+populations%5C+located%5C+in%5C+the%5C+west%5C+part%5C+of%5C+the%5C+species%E2%80%99%5C+range%5C+along%5C+different%5C+river%5C+valleys.%5C+The%5C+genetic%5C+clustering%5C+of%5C+populations%5C+into%5C+three%5C+regions%5C+was%5C+also%5C+supported%5C+by%5C+analysis%5C+of%5C+molecular%5C+variance%2C%5C+which%5C+showed%5C+that%5C+most%5C+genetic%5C+variation%5C+%5C%2882.43%25%5C%29%5C+was%5C+found%5C+among%5C+these%5C+three%5C+regions.%5C+Two%5C+clusters%5C+were%5C+distinguished%5C+by%5C+both%5C+phylogenetic%5C+analysis%5C+and%5C+genealogical%5C+analysis%5C+of%5C+chlorotypes%2C%5C+one%5C+consisting%5C+of%5C+chlorotypes%5C+from%5C+the%5C+western%5C+region%5C+and%5C+the%5C+second%5C+consisting%5C+of%5C+those%5C+from%5C+the%5C+eastern%5C+region.%5C+Significant%5C+genetic%5C+differences%5C+between%5C+the%5C+two%5C+regions%5C+might%5C+be%5C+attributed%5C+to%5C+vicariance%5C+and%5C+restricted%5C+gene%5C+flow%2C%5C+and%5C+this%5C+vicariance%5C+could%5C+be%5C+explained%5C+by%5C+the%5C+physical%5C+environmental%5C+heterogeneity%5C+on%5C+each%5C+side%5C+of%5C+the%5C+Tanaka%5C-Kaiyong%5C+Line.%5C+Following%5C+the%5C+uplift%5C+of%5C+the%5C+Tibetan%5C+Plateau%2C%5C+the%5C+reorganization%5C+of%5C+the%5C+major%5C+river%5C+drainages%5C+was%5C+primarily%5C+caused%5C+by%5C+river%5C+separation%5C+and%5C+capture%5C+events.%5C+These%5C+historical%5C+events%5C+could%5C+change%5C+the%5C+distribution%5C+of%5C+S.%5C+davidii%5C+from%5C+fragmented%5C+to%5C+continuous%5C+%5C%28Upper%5C%2FLower%5C+Jinshajiang%5C+and%5C+Yalongjiang%5C%2FDaduhe%5C%29%2C%5C+and%5C+from%5C+continuous%5C+to%5C+fragmented%5C+%5C%28Nujiang%5C+and%5C+Jinshajiang%5C%2FHonghe%5C%29.%5C+However%2C%5C+spatial%5C+and%5C+temporal%5C+patterns%5C+of%5C+phylogeographic%5C+divergence%5C+are%5C+strongly%5C+associated%5C+with%5C+historical%5C+disjunction%5C+rather%5C+than%5C+modern%5C+drainage%5C+connections.%5C+Moreover%2C%5C+the%5C+following%5C+north%5C-south%5C+split%5C+in%5C+the%5C+eastern%5C+region%5C+and%5C+effective%5C+isolation%5C+with%5C+their%5C+genetic%5C+diversity%5C+were%5C+essentially%5C+modelled%5C+by%5C+genetic%5C+drift.%5C+The%5C+higher%5C+chlorotype%5C+richness%5C+and%5C+genetic%5C+divergence%5C+for%5C+populations%5C+in%5C+western%5C+region%5C+compared%5C+with%5C+other%5C+two%5C+regions%5C+suggests%5C+that%5C+there%5C+were%5C+multipe%5C+refugia%5C+or%5C+in%5C+situ%5C+survival%5C+of%5C+S.%5C+davidii%5C+in%5C+the%5C+Himalayan%5C-Hengduan%5C+Mountain%5C+region.%5C+Fixation%5C+of%5C+chlorotypes%5C+in%5C+the%5C+northeastern%5C+region%5C+and%5C+near%5C+fixation%5C+in%5C+the%5C+southeastern%5C+region%5C+suggest%5C+a%5C+recent%5C+colonization%5C+of%5C+these%5C+areas.%5C+We%5C+further%5C+found%5C+that%5C+this%5C+species%5C+underwent%5C+past%5C+range%5C+expansion%5C+around%5C+37%5C-303%5C+thousand%5C+years%5C+ago%5C+%5C%28kya%5C%29.%5C+The%5C+southeastern%5C+populations%5C+likely%5C+experienced%5C+a%5C+demographic%5C+expansion%5C+via%5C+unidirectional%5C+gene%5C+flow%5C+along%5C+rivers%2C%5C+while%5C+northeastern%5C+populations%5C+underwent%5C+a%5C+more%5C+northward%5C+expansion%2C%5C+both%5C+from%5C+initial%5C+populations%5C+%5C%28s%5C%29%5C+%5C%2821%2C%5C+22%2C%5C+23%5C%29%5C+preserved%5C+on%5C+eastern%5C+refugia%5C+%5C%28Jinshajiang%5C%29.%5C+This%5C+process%5C+might%5C+have%5C+been%5C+accompanied%5C+with%5C+a%5C+series%5C+of%5C+founder%5C+effects%5C+or%5C+bottlenecks%5C+making%5C+populations%5C+genetically%5C+impoverished.%5C+3.%5C+Phylogeographic%5C+analysisbased%5C+on%5C+nuclear%5C+sequence%EF%BC%8CWe%5C+sequenced%5C+the%5C+nuclear%5C+%5C%28ncpGS%5C%29%5C+region%5C+in%5C+all%5C+populations%5C+sampled%2C%5C+recovering%5C+23%5C+nuclear%5C+haplotypes.%5C+Compared%5C+to%5C+cpDNA%2C%5C+both%5C+NST%5C+%5C%280.470%5C%29%5C+and%5C+GST%5C+%5C%280.338%5C%29%5C+were%5C+relatively%5C+lower%2C%5C+but%5C+NST%5C+was%5C+also%5C+significantly%5C+larger%5C+than%5C+GST.%5C+37.10%25%5C+of%5C+the%5C+total%5C+variation%5C+was%5C+distributed%5C+among%5C+regions%5C+which%5C+was%5C+much%5C+lower%5C+than%5C+that%5C+shown%5C+by%5C+chlorotypes.%5C+Thus%2C%5C+more%5C+extensive%5C+distribution%5C+of%5C+nuclear%5C+haplotypes%5C+was%5C+exhibited%5C+across%5C+the%5C+geographical%5C+range%5C+instead%5C+of%5C+the%5C+strong%5C+population%5C+subdivision%5C+observed%5C+in%5C+chlorotypes.%5C+Similarly%5C+to%5C+the%5C+chloroplast%5C+data%2C%5C+we%5C+found%5C+that%5C+genetic%5C+differentiation%5C+of%5C+nDNA%5C+was%5C+positively%5C+correlated%5C+with%5C+the%5C+geographical%5C+distance%2C%5C+but%5C+the%5C+increase%5C+in%5C+the%5C+geographical%5C+distance%5C+between%5C+populations%5C+did%5C+not%5C+increase%5C+the%5C+genetic%5C+differentiation%5C+of%5C+nDNA%5C+as%5C+rapidly%5C+as%5C+that%5C+of%5C+cpDNA.%5C+These%5C+contrasting%5C+levels%5C+between%5C+the%5C+chloroplast%5C+and%5C+nuclear%5C+genomes%5C+of%5C+S.%5C+davidii%5C+are%5C+likely%5C+due%5C+to%5C+limited%5C+gene%5C+flow%5C+of%5C+cpDNA%5C+by%5C+seeds%5C+vs.%5C+the%5C+extensive%5C+gene%5C+flow%5C+of%5C+nDNA%5C+by%5C+wind%5C-mediated%5C+pollen%5C+in%5C+the%5C+population%5C+history.%5C+We%5C+also%5C+determined%5C+from%5C+nuclear%5C+markers%5C+that%5C+haplotype%5C+diversity%5C+was%5C+reduced%5C+in%5C+the%5C+southeastern%5C+and%5C+northeastern%5C+regions%5C+due%5C+to%5C+the%5C+loss%5C+of%5C+rare%5C+haplotypes%5C+in%5C+western%5C+region.%5C+This%5C+reduction%5C+of%5C+gene%5C+diversity%5C+is%5C+also%5C+a%5C+signature%5C+of%5C+founder%5C+events%5C+or%5C+recent%5C+bottleneck%5C+during%5C+post%5C-glacial%5C+colonization.%5C+However%2C%5C+nuclear%5C+diversity%5C+within%5C+populations%5C+remains%5C+high.%5C+This%5C+provides%5C+evidence%5C+that%5C+regionally%5C+pollen%5C+flow%5C+might%5C+be%5C+sufficiently%5C+high%5C+to%5C+blur%5C+the%5C+genetic%5C+identity%5C+of%5C+founder%5C+populations%5C+over%5C+a%5C+reasonably%5C+large%5C+spatial%5C+scale.3.%5C+Relationships%5C+among%5C+three%5C+varieties%EF%BC%8CThe%5C+phylogenetic%5C+analysis%5C+identified%5C+two%5C+phylogroups%5C+of%5C+chlorotypes%2C%5C+corresponding%5C+to%5C+S.%5C+davidii%5C+var.%5C+davidii%5C+and%5C+var.%5C+chuansinesis.%5C+The%5C+former%5C+was%5C+distinguished%5C+by%5C+the%5C+abscence%5C+of%5C+predonminant%5C+nuclear%5C+haplotype%5C+H1%5C+of%5C+the%5C+latter.%5C+The%5C+monophyletic%5C+group%5C+of%5C+chlorotypes%5C+in%5C+var.%5C+davidii%5C+and%5C+var.%5C+liangshanesis%5C+showed%5C+their%5C+relatively%5C+close%5C+relationship.%5C+And%5C+their%5C+genetic%5C+divergence%5C+from%5C+the%5C+third%5C+variety%5C+appears%5C+to%5C+be%5C+relative%5C+to%5C+their%5C+slight%5C+morphological%5C+difference%5C+in%5C+leaf%5C+size%5C+and%5C+the%5C+divergent%5C+environmental%5C+niche%5C+spaces%5C+they%5C+occupy.%5C+Thus%2C%5C+the%5C+observed%5C+differences%5C+in%5C+morphological%5C+characters%5C+between%5C+var.%5C+chuansinesis%5C+and%5C+other%5C+two%5C+varieties%5C+can%5C+be%5C+explained%5C+by%5C+the%5C+seed%5C+dispersal%5C+limitation%5C+illustrated%5C+above%5C+%5C%28as%5C+inferred%5C+by%5C+geographical%5C+separation%5C%29%5C+and%5C+by%5C+environmental%5C+heterogeneity%5C+%5C%28as%5C+inferred%5C+by%5C+precipitation%5C+or%5C+elevation%5C%29%5C+or%5C+by%5C+a%5C+combination%5C+of%5C+both.%5C+After%5C+all%2C%5C+the%5C+geological%5C+changes%2C%5C+drainage%5C+reorganization%2C%5C+and%5C+floristic%5C+differences%5C+following%5C+the%5C+Himalayan%5C+uplift%5C+have%5C+been%5C+suggested%5C+to%5C+affect%5C+the%5C+genetic%5C+structure%5C+of%5C+S.%5C+davidii.%5C+These%5C+results%5C+provide%5C+new%5C+insights%5C+into%5C+the%5C+phylogeographic%5C+pattern%5C+of%5C+plants%5C+in%5C+China.%5C+In%5C+addition%2C%5C+the%5C+unique%5C+population%5C+genetic%5C+structure%5C+found%5C+in%5C+S.%5C+davidii%5C+has%5C+provided%5C+important%5C+insights%5C+into%5C+the%5C+evolutionary%5C+history%5C+of%5C+this%5C+species.%5C+The%5C+genetic%5C+profile%5C+uncovered%5C+in%5C+this%5C+study%5C+is%5C+also%5C+critical%5C+for%5C+its%5C+conservation%5C+management.%5C+Our%5C+study%5C+has%5C+uncovered%5C+the%5C+existence%5C+of%5C+at%5C+least%5C+two%5C+%E2%80%98evolutionary%5C+significant%5C+units%E2%80%99%5C+independent%5C+units%5C+within%5C+S.%5C+davidii%2C%5C+corresponding%5C+to%5C+var.%5C+davidii%5C+from%5C+eastern%5C+region%5C+and%5C+var.%5C+chuansinensis%5C+from%5C+western%5C+region.%5C+The%5C+conservation%5C+efforts%5C+should%5C+first%5C+focus%5C+on%5C+most%5C+western%5C+populations%5C+and%5C+on%5C+the%5C+southeastern%5C+ones%5C+exhibiting%5C+high%5C+levels%5C+of%5C+genetic%5C+diversity%2C%5C+while%5C+the%5C+genetically%5C+homogeneous%5C+northeastern%5C+populations%5C+located%5C+in%5C+the%5C+degraded%5C+Loess%5C+Plateau%5C+should%5C+require%5C+much%5C+greater%5C+conservation%5C+efforts."},{"jsname":"The relationship between leaf physiognomy and climate is widely used to reconstruct paleoclimates of Cenozoic floras. Previous works demonstrate that LMA show regional constraints. Until now, no equation has been set up directly from Chinese forests. This relationship is exhaustively studied based on 50 samples from mesic to humid forests across China. Models including Leaf Margin Analysis (LMA), Single Linear regression for Precipitation, and Climate Leaf Analysis Multivariate Program (CLAMP), are set up and used to quantitatively reconstruct paleoclimates of Chinese Neogene floras. Meanwhile, a paleoflora, i.e., Yangjie flora, which belongs to the Upper Pliocene Sanying formation in West Yunnan Province, is studied. The species assemblage, paleoclimate and paleoecology of Yangjie flora are discussed. Conclusions in this dissertation are as following: 1. Chinese leaf physiognomy-climate models based on regression analyses，LMA is a widely used method that applies present-day linear correlation between the proportion of woody dicotyledonous species with untoothed leaves (P) and mean annual temperature (MAT) to estimate paleotemperatures from fossil leaf floras. The Chinese data indicate that P shows a strong linear correlation with MAT, but the actual relationship is slightly different from those recognized from other regions. Among all currently used LMA equations, the one resulting from North and Central American and Japanese data, rather than the widely used East Asian LMA equation, yields the closest values to the actual MATs of the Chinese samples (mean absolute error = 1.9°C). A new equation derived from the Chinese forests is therefore developed, where MAT = 1.038 + 27.6 × P. This study not only demonstrates the similarity of the relationship between P and MAT in the Northern Hemisphere, but also improves the reliability of LMA for paleoclimate reconstructions of Chinese paleofloras. Besides, regression analyses are used to explore the relationship between leaf physiognomy and precipitation. In contrast to former studies, entire leaf margin shows the highest correlation with the Growing Season Precipitation (GSP). A new equation is proposed: GSP = 228.0 + 1707.0 × P. 2. The new calibrated CLAMP dataset – PHYSGCHINA，CLAMP, which is based on canonical correspondence analysis, is improved by the inclusion of 50 Chinese samples. The result indicates that, new calibrated data from 50 Chinese sample sites are situated away from the former 144 samples in the physiognomic space, which may be caused by the unique characters of leaf physiognomy under monsoon condition. Therefore, a new calibrated CLAMP dataset, i.e., PHYSGCHINA, is set up based on 50 new Chinese samples, and 144 former samples from PHYSG3BRC. This new dataset could improve the accuracy of paleoclimate reconstructions for floras under the monsoon climate condition. When it is applied to Chinese Neogene floras, PHYSGCHINA could improve the accuracy of paleoclimate parameters, especially parameters related to precipitation. 3. Paleoclimate reconstructions of Chinese Cenozoic floras，Paleoclimates of Chinese Cenozoic floras are reconstructed using leaf physiognomy- climate models being set up in this study. The Chinese paleoclimate history in Eocene is similar to the trend from worldwide record. That is, hot climate presented in early Eocene and early Middle Eocene, and then, climate cooled down from late Middle Eocene to Late Eocene in China. Moreover, paleoclimates of two Late Miocene floras from Yunnan province, i.e., Xiaolongtan flora and Bangmai flora, are reconstructed using different models. The results indicate that, temperature of Yunnan is slightly higher than that in nowadays, but the precipitation is much higher than that at present day, which may be caused by the uplift of Hengduan Mountain. 4. Late Pliocene Yangjie flora in West Yunnan Province, China，A Late Pliocene Yangjie flora form Yongping County, western Yunnan province, which belongs to Sanying formation, is studied in this dissertation. Yangjie flora is dominated by Quercus sect. Heterobalanus (Oerst.) Menits. (evergreen sclerophyllous oaks), and this forest type is quite common in SW China at present. The discovery of Yangjie flora provides evidence that, vegetations of Yunnan in Miocene were dominated by evergreen forests, and the dominant families were Fabaceae, Fagaceae and Lauraceae. In Pliocene, this vegetation type changed gradually to evergreen sclerophyllous oak forests. This vegetation change may have been caused by the uplift of Hengduan Mountain in Neogene. A polypodiaceous fern, Drynaria callispora sp. nov., is described from the upper Pliocene Sanying Formation in western Yunnan Province, southwestern China. The species with well-preserved pinnae and in situ spores is the first convincing Drynaria fossil record. Detailed morphological investigation reveals that D. callispora is characterized by 1) pinnatifid fronds with entire-margined pinnae having straight or zigzag secondary veins; 2) finer venation showing void quadrangular areoles, but occasionally with one unbranched veinlet; 3) one row of circular sori on each side of the strong primary vein; and 4) in situ spores with verrucate exospores elliptical in polar view and bean-shaped in equatorial view. A morphological comparison shows that D. callispora is significantly different from all the fossil species previously identified as drynarioids. A phylogenetic analysis of D. callispora supports that the fossil is closely related to D. sinica Diels and D. mollis Bedd., two extant species distributing in the Himalayas. The discovery of the new fern indicates that the genus Drynaria became diversified in its modern distribution region no later than the late Pliocene and had retained the similar ecology to that of many modern drynarioid ferns ever since. 5. Paleoclimate reconstruction of Yangjie flora，LMA, Single Linear Regression for Precipitation and PHYSGCHINA are applied to reconstruct paleoclimate of Yangjie flora. MAT calculated by LMA and CLAMP is 22.0 ± 2.4°C and 20.0 ± 1.4°C, respectively, and GSP calculated by Single Linear Regression for Precipitation and PHYSGCHINA is 1521.9 ± 131.3 mm and 2084.7 ± 223.1 mm, respectively All methods agree that, both temperature and precipitation were higher in Late Pliocene than in nowadays. Meanwhile, precipitation parameters calculated by CLAMP gets high values. 6. Preliminary study of insect herbivory in Yangjie flora，Insect herbivory on leaves of Quercus preguyavaefolia Tao and Q. presenescens Zhou, two dominant species in Yangjie flora, is reported by the preliminary research. Each of these two species has a high diversity of insect damage. Among all damage types, margin feeding and surface feeding are most common, and skeletonization, piercing and sucking, and galling are less found. Most of these damage types belonge to the high host specialization (HS = 1). However, the proportion of leaves without insect damage in Q. presenescens is much higher than that in Q. preguyavaefolia. According to the log-log linear regression model, both Quercus preguyavaefolia and Q. presenescens have very high leaf mass per area (with 184.8 ± 6.7 g/m2 and 155.3 ± 10.7 g/m2, respectively). The high diversity of insect herbivory demonstrates a warm climate in the Late Pliocene of West Yunnan Province.","jscount":"1","jsurl":"/simple-search?field1=all&rpp=10&accurate=false&advanced=false&sort_by=2&isNonaffiliated=false&search_type=-1&query1=%25E5%258F%25B6%25E7%2589%2587%25E5%25BD%25A2%25E6%2580%2581&order=desc&&fq=dc.project.title_filter%3AThe%5C+relationship%5C+between%5C+leaf%5C+physiognomy%5C+and%5C+climate%5C+is%5C+widely%5C+used%5C+to%5C+reconstruct%5C+paleoclimates%5C+of%5C+Cenozoic%5C+floras.%5C+Previous%5C+works%5C+demonstrate%5C+that%5C+LMA%5C+show%5C+regional%5C+constraints.%5C+Until%5C+now%2C%5C+no%5C+equation%5C+has%5C+been%5C+set%5C+up%5C+directly%5C+from%5C+Chinese%5C+forests.%5C+This%5C+relationship%5C+is%5C+exhaustively%5C+studied%5C+based%5C+on%5C+50%5C+samples%5C+from%5C+mesic%5C+to%5C+humid%5C+forests%5C+across%5C+China.%5C+Models%5C+including%5C+Leaf%5C+Margin%5C+Analysis%5C+%5C%28LMA%5C%29%2C%5C+Single%5C+Linear%5C+regression%5C+for%5C+Precipitation%2C%5C+and%5C+Climate%5C+Leaf%5C+Analysis%5C+Multivariate%5C+Program%5C+%5C%28CLAMP%5C%29%2C%5C+are%5C+set%5C+up%5C+and%5C+used%5C+to%5C+quantitatively%5C+reconstruct%5C+paleoclimates%5C+of%5C+Chinese%5C+Neogene%5C+floras.%5C+Meanwhile%2C%5C+a%5C+paleoflora%2C%5C+i.e.%2C%5C+Yangjie%5C+flora%2C%5C+which%5C+belongs%5C+to%5C+the%5C+Upper%5C+Pliocene%5C+Sanying%5C+formation%5C+in%5C+West%5C+Yunnan%5C+Province%2C%5C+is%5C+studied.%5C+The%5C+species%5C+assemblage%2C%5C+paleoclimate%5C+and%5C+paleoecology%5C+of%5C+Yangjie%5C+flora%5C+are%5C+discussed.%5C+Conclusions%5C+in%5C+this%5C+dissertation%5C+are%5C+as%5C+following%5C%3A%5C+1.%5C+Chinese%5C+leaf%5C+physiognomy%5C-climate%5C+models%5C+based%5C+on%5C+regression%5C+analyses%EF%BC%8CLMA%5C+is%5C+a%5C+widely%5C+used%5C+method%5C+that%5C+applies%5C+present%5C-day%5C+linear%5C+correlation%5C+between%5C+the%5C+proportion%5C+of%5C+woody%5C+dicotyledonous%5C+species%5C+with%5C+untoothed%5C+leaves%5C+%5C%28P%5C%29%5C+and%5C+mean%5C+annual%5C+temperature%5C+%5C%28MAT%5C%29%5C+to%5C+estimate%5C+paleotemperatures%5C+from%5C+fossil%5C+leaf%5C+floras.%5C+The%5C+Chinese%5C+data%5C+indicate%5C+that%5C+P%5C+shows%5C+a%5C+strong%5C+linear%5C+correlation%5C+with%5C+MAT%2C%5C+but%5C+the%5C+actual%5C+relationship%5C+is%5C+slightly%5C+different%5C+from%5C+those%5C+recognized%5C+from%5C+other%5C+regions.%5C+Among%5C+all%5C+currently%5C+used%5C+LMA%5C+equations%2C%5C+the%5C+one%5C+resulting%5C+from%5C+North%5C+and%5C+Central%5C+American%5C+and%5C+Japanese%5C+data%2C%5C+rather%5C+than%5C+the%5C+widely%5C+used%5C+East%5C+Asian%5C+LMA%5C+equation%2C%5C+yields%5C+the%5C+closest%5C+values%5C+to%5C+the%5C+actual%5C+MATs%5C+of%5C+the%5C+Chinese%5C+samples%5C+%5C%28mean%5C+absolute%5C+error%5C+%3D%5C+1.9%C2%B0C%5C%29.%5C+A%5C+new%5C+equation%5C+derived%5C+from%5C+the%5C+Chinese%5C+forests%5C+is%5C+therefore%5C+developed%2C%5C+where%5C+MAT%5C+%3D%5C+1.038%5C+%5C%2B%5C+27.6%5C+%C3%97%5C+P.%5C+This%5C+study%5C+not%5C+only%5C+demonstrates%5C+the%5C+similarity%5C+of%5C+the%5C+relationship%5C+between%5C+P%5C+and%5C+MAT%5C+in%5C+the%5C+Northern%5C+Hemisphere%2C%5C+but%5C+also%5C+improves%5C+the%5C+reliability%5C+of%5C+LMA%5C+for%5C+paleoclimate%5C+reconstructions%5C+of%5C+Chinese%5C+paleofloras.%5C+Besides%2C%5C+regression%5C+analyses%5C+are%5C+used%5C+to%5C+explore%5C+the%5C+relationship%5C+between%5C+leaf%5C+physiognomy%5C+and%5C+precipitation.%5C+In%5C+contrast%5C+to%5C+former%5C+studies%2C%5C+entire%5C+leaf%5C+margin%5C+shows%5C+the%5C+highest%5C+correlation%5C+with%5C+the%5C+Growing%5C+Season%5C+Precipitation%5C+%5C%28GSP%5C%29.%5C+A%5C+new%5C+equation%5C+is%5C+proposed%5C%3A%5C+GSP%5C+%3D%5C+228.0%5C+%5C%2B%5C+1707.0%5C+%C3%97%5C+P.%5C+2.%5C+The%5C+new%5C+calibrated%5C+CLAMP%5C+dataset%5C+%E2%80%93%5C+PHYSGCHINA%EF%BC%8CCLAMP%2C%5C+which%5C+is%5C+based%5C+on%5C+canonical%5C+correspondence%5C+analysis%2C%5C+is%5C+improved%5C+by%5C+the%5C+inclusion%5C+of%5C+50%5C+Chinese%5C+samples.%5C+The%5C+result%5C+indicates%5C+that%2C%5C+new%5C+calibrated%5C+data%5C+from%5C+50%5C+Chinese%5C+sample%5C+sites%5C+are%5C+situated%5C+away%5C+from%5C+the%5C+former%5C+144%5C+samples%5C+in%5C+the%5C+physiognomic%5C+space%2C%5C+which%5C+may%5C+be%5C+caused%5C+by%5C+the%5C+unique%5C+characters%5C+of%5C+leaf%5C+physiognomy%5C+under%5C+monsoon%5C+condition.%5C+Therefore%2C%5C+a%5C+new%5C+calibrated%5C+CLAMP%5C+dataset%2C%5C+i.e.%2C%5C+PHYSGCHINA%2C%5C+is%5C+set%5C+up%5C+based%5C+on%5C+50%5C+new%5C+Chinese%5C+samples%2C%5C+and%5C+144%5C+former%5C+samples%5C+from%5C+PHYSG3BRC.%5C+This%5C+new%5C+dataset%5C+could%5C+improve%5C+the%5C+accuracy%5C+of%5C+paleoclimate%5C+reconstructions%5C+for%5C+floras%5C+under%5C+the%5C+monsoon%5C+climate%5C+condition.%5C+When%5C+it%5C+is%5C+applied%5C+to%5C+Chinese%5C+Neogene%5C+floras%2C%5C+PHYSGCHINA%5C+could%5C+improve%5C+the%5C+accuracy%5C+of%5C+paleoclimate%5C+parameters%2C%5C+especially%5C+parameters%5C+related%5C+to%5C+precipitation.%5C+3.%5C+Paleoclimate%5C+reconstructions%5C+of%5C+Chinese%5C+Cenozoic%5C+floras%EF%BC%8CPaleoclimates%5C+of%5C+Chinese%5C+Cenozoic%5C+floras%5C+are%5C+reconstructed%5C+using%5C+leaf%5C+physiognomy%5C-%5C+climate%5C+models%5C+being%5C+set%5C+up%5C+in%5C+this%5C+study.%5C+The%5C+Chinese%5C+paleoclimate%5C+history%5C+in%5C+Eocene%5C+is%5C+similar%5C+to%5C+the%5C+trend%5C+from%5C+worldwide%5C+record.%5C+That%5C+is%2C%5C+hot%5C+climate%5C+presented%5C+in%5C+early%5C+Eocene%5C+and%5C+early%5C+Middle%5C+Eocene%2C%5C+and%5C+then%2C%5C+climate%5C+cooled%5C+down%5C+from%5C+late%5C+Middle%5C+Eocene%5C+to%5C+Late%5C+Eocene%5C+in%5C+China.%5C+Moreover%2C%5C+paleoclimates%5C+of%5C+two%5C+Late%5C+Miocene%5C+floras%5C+from%5C+Yunnan%5C+province%2C%5C+i.e.%2C%5C+Xiaolongtan%5C+flora%5C+and%5C+Bangmai%5C+flora%2C%5C+are%5C+reconstructed%5C+using%5C+different%5C+models.%5C+The%5C+results%5C+indicate%5C+that%2C%5C+temperature%5C+of%5C+Yunnan%5C+is%5C+slightly%5C+higher%5C+than%5C+that%5C+in%5C+nowadays%2C%5C+but%5C+the%5C+precipitation%5C+is%5C+much%5C+higher%5C+than%5C+that%5C+at%5C+present%5C+day%2C%5C+which%5C+may%5C+be%5C+caused%5C+by%5C+the%5C+uplift%5C+of%5C+Hengduan%5C+Mountain.%5C+4.%5C+Late%5C+Pliocene%5C+Yangjie%5C+flora%5C+in%5C+West%5C+Yunnan%5C+Province%2C%5C+China%EF%BC%8CA%5C+Late%5C+Pliocene%5C+Yangjie%5C+flora%5C+form%5C+Yongping%5C+County%2C%5C+western%5C+Yunnan%5C+province%2C%5C+which%5C+belongs%5C+to%5C+Sanying%5C+formation%2C%5C+is%5C+studied%5C+in%5C+this%5C+dissertation.%5C+Yangjie%5C+flora%5C+is%5C+dominated%5C+by%5C+Quercus%5C+sect.%5C+Heterobalanus%5C+%5C%28Oerst.%5C%29%5C+Menits.%5C+%5C%28evergreen%5C+sclerophyllous%5C+oaks%5C%29%2C%5C+and%5C+this%5C+forest%5C+type%5C+is%5C+quite%5C+common%5C+in%5C+SW%5C+China%5C+at%5C+present.%5C+The%5C+discovery%5C+of%5C+Yangjie%5C+flora%5C+provides%5C+evidence%5C+that%2C%5C+vegetations%5C+of%5C+Yunnan%5C+in%5C+Miocene%5C+were%5C+dominated%5C+by%5C+evergreen%5C+forests%2C%5C+and%5C+the%5C+dominant%5C+families%5C+were%5C+Fabaceae%2C%5C+Fagaceae%5C+and%5C+Lauraceae.%5C+In%5C+Pliocene%2C%5C+this%5C+vegetation%5C+type%5C+changed%5C+gradually%5C+to%5C+evergreen%5C+sclerophyllous%5C+oak%5C+forests.%5C+This%5C+vegetation%5C+change%5C+may%5C+have%5C+been%5C+caused%5C+by%5C+the%5C+uplift%5C+of%5C+Hengduan%5C+Mountain%5C+in%5C+Neogene.%5C+A%5C+polypodiaceous%5C+fern%2C%5C+Drynaria%5C+callispora%5C+sp.%5C+nov.%2C%5C+is%5C+described%5C+from%5C+the%5C+upper%5C+Pliocene%5C+Sanying%5C+Formation%5C+in%5C+western%5C+Yunnan%5C+Province%2C%5C+southwestern%5C+China.%5C+The%5C+species%5C+with%5C+well%5C-preserved%5C+pinnae%5C+and%5C+in%5C+situ%5C+spores%5C+is%5C+the%5C+first%5C+convincing%5C+Drynaria%5C+fossil%5C+record.%5C+Detailed%5C+morphological%5C+investigation%5C+reveals%5C+that%5C+D.%5C+callispora%5C+is%5C+characterized%5C+by%5C+1%5C%29%5C+pinnatifid%5C+fronds%5C+with%5C+entire%5C-margined%5C+pinnae%5C+having%5C+straight%5C+or%5C+zigzag%5C+secondary%5C+veins%5C%3B%5C+2%5C%29%5C+finer%5C+venation%5C+showing%5C+void%5C+quadrangular%5C+areoles%2C%5C+but%5C+occasionally%5C+with%5C+one%5C+unbranched%5C+veinlet%5C%3B%5C+3%5C%29%5C+one%5C+row%5C+of%5C+circular%5C+sori%5C+on%5C+each%5C+side%5C+of%5C+the%5C+strong%5C+primary%5C+vein%5C%3B%5C+and%5C+4%5C%29%5C+in%5C+situ%5C+spores%5C+with%5C+verrucate%5C+exospores%5C+elliptical%5C+in%5C+polar%5C+view%5C+and%5C+bean%5C-shaped%5C+in%5C+equatorial%5C+view.%5C+A%5C+morphological%5C+comparison%5C+shows%5C+that%5C+D.%5C+callispora%5C+is%5C+significantly%5C+different%5C+from%5C+all%5C+the%5C+fossil%5C+species%5C+previously%5C+identified%5C+as%5C+drynarioids.%5C+A%5C+phylogenetic%5C+analysis%5C+of%5C+D.%5C+callispora%5C+supports%5C+that%5C+the%5C+fossil%5C+is%5C+closely%5C+related%5C+to%5C+D.%5C+sinica%5C+Diels%5C+and%5C+D.%5C+mollis%5C+Bedd.%2C%5C+two%5C+extant%5C+species%5C+distributing%5C+in%5C+the%5C+Himalayas.%5C+The%5C+discovery%5C+of%5C+the%5C+new%5C+fern%5C+indicates%5C+that%5C+the%5C+genus%5C+Drynaria%5C+became%5C+diversified%5C+in%5C+its%5C+modern%5C+distribution%5C+region%5C+no%5C+later%5C+than%5C+the%5C+late%5C+Pliocene%5C+and%5C+had%5C+retained%5C+the%5C+similar%5C+ecology%5C+to%5C+that%5C+of%5C+many%5C+modern%5C+drynarioid%5C+ferns%5C+ever%5C+since.%5C+5.%5C+Paleoclimate%5C+reconstruction%5C+of%5C+Yangjie%5C+flora%EF%BC%8CLMA%2C%5C+Single%5C+Linear%5C+Regression%5C+for%5C+Precipitation%5C+and%5C+PHYSGCHINA%5C+are%5C+applied%5C+to%5C+reconstruct%5C+paleoclimate%5C+of%5C+Yangjie%5C+flora.%5C+MAT%5C+calculated%5C+by%5C+LMA%5C+and%5C+CLAMP%5C+is%5C+22.0%5C+%C2%B1%5C+2.4%C2%B0C%5C+and%5C+20.0%5C+%C2%B1%5C+1.4%C2%B0C%2C%5C+respectively%2C%5C+and%5C+GSP%5C+calculated%5C+by%5C+Single%5C+Linear%5C+Regression%5C+for%5C+Precipitation%5C+and%5C+PHYSGCHINA%5C+is%5C+1521.9%5C+%C2%B1%5C+131.3%5C+mm%5C+and%5C+2084.7%5C+%C2%B1%5C+223.1%5C+mm%2C%5C+respectively%5C+All%5C+methods%5C+agree%5C+that%2C%5C+both%5C+temperature%5C+and%5C+precipitation%5C+were%5C+higher%5C+in%5C+Late%5C+Pliocene%5C+than%5C+in%5C+nowadays.%5C+Meanwhile%2C%5C+precipitation%5C+parameters%5C+calculated%5C+by%5C+CLAMP%5C+gets%5C+high%5C+values.%5C+6.%5C+Preliminary%5C+study%5C+of%5C+insect%5C+herbivory%5C+in%5C+Yangjie%5C+flora%EF%BC%8CInsect%5C+herbivory%5C+on%5C+leaves%5C+of%5C+Quercus%5C+preguyavaefolia%5C+Tao%5C+and%5C+Q.%5C+presenescens%5C+Zhou%2C%5C+two%5C+dominant%5C+species%5C+in%5C+Yangjie%5C+flora%2C%5C+is%5C+reported%5C+by%5C+the%5C+preliminary%5C+research.%5C+Each%5C+of%5C+these%5C+two%5C+species%5C+has%5C+a%5C+high%5C+diversity%5C+of%5C+insect%5C+damage.%5C+Among%5C+all%5C+damage%5C+types%2C%5C+margin%5C+feeding%5C+and%5C+surface%5C+feeding%5C+are%5C+most%5C+common%2C%5C+and%5C+skeletonization%2C%5C+piercing%5C+and%5C+sucking%2C%5C+and%5C+galling%5C+are%5C+less%5C+found.%5C+Most%5C+of%5C+these%5C+damage%5C+types%5C+belonge%5C+to%5C+the%5C+high%5C+host%5C+specialization%5C+%5C%28HS%5C+%3D%5C+1%5C%29.%5C+However%2C%5C+the%5C+proportion%5C+of%5C+leaves%5C+without%5C+insect%5C+damage%5C+in%5C+Q.%5C+presenescens%5C+is%5C+much%5C+higher%5C+than%5C+that%5C+in%5C+Q.%5C+preguyavaefolia.%5C+According%5C+to%5C+the%5C+log%5C-log%5C+linear%5C+regression%5C+model%2C%5C+both%5C+Quercus%5C+preguyavaefolia%5C+and%5C+Q.%5C+presenescens%5C+have%5C+very%5C+high%5C+leaf%5C+mass%5C+per%5C+area%5C+%5C%28with%5C+184.8%5C+%C2%B1%5C+6.7%5C+g%5C%2Fm2%5C+and%5C+155.3%5C+%C2%B1%5C+10.7%5C+g%5C%2Fm2%2C%5C+respectively%5C%29.%5C+The%5C+high%5C+diversity%5C+of%5C+insect%5C+herbivory%5C+demonstrates%5C+a%5C+warm%5C+climate%5C+in%5C+the%5C+Late%5C+Pliocene%5C+of%5C+West%5C+Yunnan%5C+Province."},{"jsname":"Tibetan Plateau is one of the most sensitive areas to global climate change. The response of alpine ecosystem to climate change becomes a hot topic of scientific research. Plant phenology is best indicator of climate change. It will be meaningful to look at the response of alpine ecosystem to climate change from the plant phenology point of view. However, phenology research is still very weak on the Tibetan Plateau, and the ground observations are also very limited. Therefore, study on the growing season change and relation with temperature and precipitation will be scientifically and practically meaningful.In this study, we studied the interannual change of NDVI, temperature and precipitation and their correlation. Then the growing season on the Tibetan Plateau was simulated using both the slope method and NDVI ratio method. By comparing the results with ground observation, the NDVI ratio method with certain threshold was selected. Growing season from 1982-2006 was simulated with the selected method and then the spatial and temporal distribution of growing season was analyzed. Finally, we used multi-regression to derive the relation between growing season, temperature and precipitation. Some main conclusions were drawn from this study. NDVI ratio method performs better in simulating the growing season than slope method. The final thresholds selected for simulating the start and end dates of growing season are 0.2 and 0.6, respectively. Both the mean NDVI in May and June and beginning dates of growing season of meadow and steppe shows non-linear trend from 1982 to 2006. However, the beginning dates of growing season of meadow and steppe before 2000 display significant advance trend(0.48 d yr-1 and 0.62d yr-1,respectively), but delay after 2000；the end dats of meadow shows no significant trend during 1982 and 2000,but trend of the end dats of steppe is significant(0.52 d yr-1)；the lengths of growing season of meadow and steppe become longer before 2000(0.49d yr-1 and 0.55 d yr-1,respectively), then become shorter afterwards. Relation between temperature and precipitation with beginning dates of growing season is more significant than with end dates. The significantly rising temperature in winter delay the beginning dates of growing season because of the reduction of chilling requirement. Increase of spring temperature and precipitation promotes early beginning dates of growing season. The end dates of growing season are early due to the increase of temperature in July and August, but are late when temperature in September and precipitation from May to September increases.Finally, we figure out the shortcoming of the study and recommend possible way to solve the problem and more detailed future work is required.","jscount":"1","jsurl":"/simple-search?field1=all&rpp=10&accurate=false&advanced=false&sort_by=2&isNonaffiliated=false&search_type=-1&query1=%25E5%258F%25B6%25E7%2589%2587%25E5%25BD%25A2%25E6%2580%2581&order=desc&&fq=dc.project.title_filter%3ATibetan%5C+Plateau%5C+is%5C+one%5C+of%5C+the%5C+most%5C+sensitive%5C+areas%5C+to%5C+global%5C+climate%5C+change.%5C+The%5C+response%5C+of%5C+alpine%5C+ecosystem%5C+to%5C+climate%5C+change%5C+becomes%5C+a%5C+hot%5C+topic%5C+of%5C+scientific%5C+research.%5C+Plant%5C+phenology%5C+is%5C+best%5C+indicator%5C+of%5C+climate%5C+change.%5C+It%5C+will%5C+be%5C+meaningful%5C+to%5C+look%5C+at%5C+the%5C+response%5C+of%5C+alpine%5C+ecosystem%5C+to%5C+climate%5C+change%5C+from%5C+the%5C+plant%5C+phenology%5C+point%5C+of%5C+view.%5C+However%2C%5C+phenology%5C+research%5C+is%5C+still%5C+very%5C+weak%5C+on%5C+the%5C+Tibetan%5C+Plateau%2C%5C+and%5C+the%5C+ground%5C+observations%5C+are%5C+also%5C+very%5C+limited.%5C+Therefore%2C%5C+study%5C+on%5C+the%5C+growing%5C+season%5C+change%5C+and%5C+relation%5C+with%5C+temperature%5C+and%5C+precipitation%5C+will%5C+be%5C+scientifically%5C+and%5C+practically%5C+meaningful.In%5C+this%5C+study%2C%5C+we%5C+studied%5C+the%5C+interannual%5C+change%5C+of%5C+NDVI%2C%5C+temperature%5C+and%5C+precipitation%5C+and%5C+their%5C+correlation.%5C+Then%5C+the%5C+growing%5C+season%5C+on%5C+the%5C+Tibetan%5C+Plateau%5C+was%5C+simulated%5C+using%5C+both%5C+the%5C+slope%5C+method%5C+and%5C+NDVI%5C+ratio%5C+method.%5C+By%5C+comparing%5C+the%5C+results%5C+with%5C+ground%5C+observation%2C%5C+the%5C+NDVI%5C+ratio%5C+method%5C+with%5C+certain%5C+threshold%5C+was%5C+selected.%5C+Growing%5C+season%5C+from%5C+1982%5C-2006%5C+was%5C+simulated%5C+with%5C+the%5C+selected%5C+method%5C+and%5C+then%5C+the%5C+spatial%5C+and%5C+temporal%5C+distribution%5C+of%5C+growing%5C+season%5C+was%5C+analyzed.%5C+Finally%2C%5C+we%5C+used%5C+multi%5C-regression%5C+to%5C+derive%5C+the%5C+relation%5C+between%5C+growing%5C+season%2C%5C+temperature%5C+and%5C+precipitation.%5C+Some%5C+main%5C+conclusions%5C+were%5C+drawn%5C+from%5C+this%5C+study.%5C+NDVI%5C+ratio%5C+method%5C+performs%5C+better%5C+in%5C+simulating%5C+the%5C+growing%5C+season%5C+than%5C+slope%5C+method.%5C+The%5C+final%5C+thresholds%5C+selected%5C+for%5C+simulating%5C+the%5C+start%5C+and%5C+end%5C+dates%5C+of%5C+growing%5C+season%5C+are%5C+0.2%5C+and%5C+0.6%2C%5C+respectively.%5C+Both%5C+the%5C+mean%5C+NDVI%5C+in%5C+May%5C+and%5C+June%5C+and%5C+beginning%5C+dates%5C+of%5C+growing%5C+season%5C+of%5C+meadow%5C+and%5C+steppe%5C+shows%5C+non%5C-linear%5C+trend%5C+from%5C+1982%5C+to%5C+2006.%5C+However%2C%5C+the%5C+beginning%5C+dates%5C+of%5C+growing%5C+season%5C+of%5C+meadow%5C+and%5C+steppe%5C+before%5C+2000%5C+display%5C+significant%5C+advance%5C+trend%5C%280.48%5C+d%5C+yr%5C-1%5C+and%5C+0.62d%5C+yr%5C-1%2Crespectively%5C%29%2C%5C+but%5C+delay%5C+after%5C+2000%EF%BC%9Bthe%5C+end%5C+dats%5C+of%5C+meadow%5C+shows%5C+no%5C+significant%5C+trend%5C+during%5C+1982%5C+and%5C+2000%2Cbut%5C+trend%5C+of%5C+the%5C+end%5C+dats%5C+of%5C+steppe%5C+is%5C+significant%5C%280.52%5C+d%5C+yr%5C-1%5C%29%EF%BC%9Bthe%5C+lengths%5C+of%5C+growing%5C+season%5C+of%5C+meadow%5C+and%5C+steppe%5C+become%5C+longer%5C+before%5C+2000%5C%280.49d%5C+yr%5C-1%5C+and%5C+0.55%5C+d%5C+yr%5C-1%2Crespectively%5C%29%2C%5C+then%5C+become%5C+shorter%5C+afterwards.%5C+Relation%5C+between%5C+temperature%5C+and%5C+precipitation%5C+with%5C+beginning%5C+dates%5C+of%5C+growing%5C+season%5C+is%5C+more%5C+significant%5C+than%5C+with%5C+end%5C+dates.%5C+The%5C+significantly%5C+rising%5C+temperature%5C+in%5C+winter%5C+delay%5C+the%5C+beginning%5C+dates%5C+of%5C+growing%5C+season%5C+because%5C+of%5C+the%5C+reduction%5C+of%5C+chilling%5C+requirement.%5C+Increase%5C+of%5C+spring%5C+temperature%5C+and%5C+precipitation%5C+promotes%5C+early%5C+beginning%5C+dates%5C+of%5C+growing%5C+season.%5C+The%5C+end%5C+dates%5C+of%5C+growing%5C+season%5C+are%5C+early%5C+due%5C+to%5C+the%5C+increase%5C+of%5C+temperature%5C+in%5C+July%5C+and%5C+August%2C%5C+but%5C+are%5C+late%5C+when%5C+temperature%5C+in%5C+September%5C+and%5C+precipitation%5C+from%5C+May%5C+to%5C+September%5C+increases.Finally%2C%5C+we%5C+figure%5C+out%5C+the%5C+shortcoming%5C+of%5C+the%5C+study%5C+and%5C+recommend%5C+possible%5C+way%5C+to%5C+solve%5C+the%5C+problem%5C+and%5C+more%5C+detailed%5C+future%5C+work%5C+is%5C+required."},{"jsname":"项目2","jscount":"1","jsurl":"/simple-search?field1=all&rpp=10&accurate=false&advanced=false&sort_by=2&isNonaffiliated=false&search_type=-1&query1=%25E5%258F%25B6%25E7%2589%2587%25E5%25BD%25A2%25E6%2580%2581&order=desc&&fq=dc.project.title_filter%3A%E9%A1%B9%E7%9B%AE2"},{"jsname":"lastIndexed","jscount":"2019-07-17"}],"Funding Project","dc.project.title_filter")'>
During a f... [1]
Following ... [1]
Paphiopedi... [1]
Paphiopedi... [1]
Sinopteris... [1]
Sophora da... [1]
More...
Indexed By
CSCD [16]
Funding Organization
国家自然科学基金(3... [1]
国家自然科学基金委员... [1]
国家重点基础研究发展... [1]
×
Knowledge Map
KIB OpenIR
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
QQ
Weibo
Feedback
Browse/Search Results:
1-10 of 79
Help
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Submit date Ascending
Submit date Descending
Author Ascending
Author Descending
Title Ascending
Title Descending
Issue Date Ascending
Issue Date Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
中国植物学会八十五周年学术年会论文集摘要汇编
会议录
Editors:
植物学会
Adobe PDF(8518Kb)
|
Favorite
|
View/Download：45/3
|
Submit date：2018/10/24
云南马关早中新世植物群、古植被及植物区系演化
学位论文
: 中国科学院大学, 2017
Authors:
贾林波
Adobe PDF(32680Kb)
|
Favorite
|
View/Download：7/0
|
Submit date：2019/06/14
杓兰属和兜兰属植物叶片结构、扩散导度与光合作用的关系
学位论文
: 中国科学院大学, 2017
Authors:
杨忠慧
Adobe PDF(3899Kb)
|
Favorite
|
View/Download：7/0
|
Submit date：2019/06/14
稻属AA-基因组物种性状变异分析和假稻叶绿体基因组测序
学位论文
: 中国科学院大学, 2017
Authors:
胡唐阁然
Adobe PDF(2780Kb)
|
Favorite
|
View/Download：2/0
|
Submit date：2019/06/14
中国唇形科香茶菜属的分类学与分子系统学研究
学位论文
: 中国科学院大学, 2017
Authors:
陈亚萍
Adobe PDF(43765Kb)
|
Favorite
|
View/Download：7/0
|
Submit date：2019/06/14
DNA 测序技术在三七及其野生近缘种鉴定中的应用
学位论文
: 中国科学院大学, 2017
Authors:
周明媚
Adobe PDF(4671Kb)
|
Favorite
|
View/Download：3/0
|
Submit date：2019/06/14
以柳兰和野菊为例探讨植物多倍体与二倍体的耐旱能力差异
学位论文
: 中国科学院大学, 2017
Authors:
郭雯
Adobe PDF(3355Kb)
|
Favorite
|
View/Download：0/0
|
Submit date：2019/06/14
中国冬青属矮冬青组（Ilex sect. Paltoria）的分类修订
学位论文
: 中国科学院大学, 2017
Authors:
蒋蕾
Adobe PDF(23527Kb)
|
Favorite
|
View/Download：1/0
|
Submit date：2019/06/14
茎储存水在单子叶植物水分平衡中的维持作用——以竹子和石斛属植物为例
学位论文
: 中国科学院大学, 2017
Authors:
杨石建
Adobe PDF(4632Kb)
|
Favorite
|
View/Download：1/0
|
Submit date：2019/06/14
广义马铃苣苔属的种子微形态及DNA 条形码研究
学位论文
: 中国科学院大学, 2016
Authors:
陈润征
Adobe PDF(19073Kb)
|
Favorite
|
View/Download：168/6
|
Submit date：2018/08/23
