請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86091
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 劉維中(Wei-Chung Liu) | |
dc.contributor.author | Wen-Hsien Lin | en |
dc.contributor.author | 林文賢 | zh_TW |
dc.date.accessioned | 2023-03-19T23:36:25Z | - |
dc.date.copyright | 2022-09-23 | |
dc.date.issued | 2022 | |
dc.date.submitted | 2022-09-13 | |
dc.identifier.citation | Aggarwal CC, Hinneburg A, Keim DA. 2001. On the surprising behavior of distance metrics in high dimensional space. In: Van den Bussche J. and Vianu V. (ed) Database Theory — ICDT 2001. ICDT 2001. Lecture Notes in Computer Science, vol 1973. Springer, Berlin, Heidelberg. Bearhop S, Adams CE, Waldron S, Fuller RA, Macleod H. 2004. Determining trophic niche width: a novel approach using stable isotope analysis. J. Anim. Ecol. 73:1007–1012. Bellard C, Bertelsmeier C, Leadley P, Thuiller W, Courchamp F. 2012. Impacts of climate change on the future of biodiversity. Ecol. Lett. 15:365-377. Bonacich P. 2007. Some unique properties of eigenvector centrality. Soc. Networks 29:555-564. Bondavalli C, Ulanowicz RE. 1999. Unexpected effects of predators upon their prey: the case of the American alligator. Ecosystems 2:49–63. Bonsall MB, Hassell MP. 1997. Apparent competition structures ecological assemblages. Nature 338:371-373. Borgatti SP, Everett MG. 1989. The class of all regular equivalences: algebraic structure and computation. Soc. Networks 11:65-88. Botta-Dukát Z. 2005. Rao’s quadratic entropy as a measure of functional diversity based on multiple traits. J. Veg. Sci. 16:533–540. Briand F. 1983. Environmental control of food web structure. Ecology 64:253–263. Burt RS. 1987. Social contagion and innovation: cohesion versus structural equivalence. Am. J. Sociol. 92:1287-1335. Burt RS, Bittner WM. 1981. A note on inferences regarding network subgraphs. Soc. Networks 3:71-88. Chase JM. 2003. Experimental evidence for alternative stable equilibria in a benthic pond food web. Ecol. Lett. 6:733-741. Chase JM, Blowes SA, Knight TM, Gerstner K, May F. 2020. Ecosystem decay exacerbates biodiversity loss with habitat loss. Nature 584:238-243. Chen X, Cohen JE. 2001. Global stability, local stability and permanence in model food webs. J. Theor. Biol. 212:223–235. Chen H-W, Liu W-C, Davis AJ, Jordán F, Hwang M-J, Shao K-T. 2008. Network position in food webs and parasite diversity. Oikos 117:1847‐1855. Chiu C-H, Chao A. 2014. Distance-based functional diversity measures and their decomposition: a framework based on Hill numbers. PLoS One 9:e100014. Christensen V, Walters CJ. 2004. Ecopath with Ecosim: methods, capabilities and limitations. Ecol. Model. 172:109-139. Clauset A, Newman MEJ, Moore C. 2004. Finding community structure in very large networks. Phys. Rev. E 70:066111. Cohen, JE. 1978. Food webs and niche space. Princeton University Press, Princeton. Cohen JE, Briand F, Newman CM. 1990. Community Food Webs: Data and Theory. Springer-Verlag, Berlin, New York. Cohen JE, Pimm SL, Yodzis P, Saldana J. 1993. Body sizes of animal predators and animal prey in food webs. J. Anim. Ecol. 62:67–78. Cornwell WK, Schwilk DW, Ackerly DD. 2006. A trait-based test for habitat filtering: convex hull volume. Ecology 87:1465–1471. Dunne JA, Williams RJ. 2009. Cascading extinctions and community collapse in model food webs. Phil. Trans. R. Soc. B 364:1711–1723. Eklöf A, Helmus MR, Moore M, Allesina S. 2012. Relevance of evolutionary history for food web structure. Proc. R. Soc. B-Biol. Sci. 279:1588-1596. Endrédi A, Patonai K, Podani J, Libralato S, Jordán F. 2021. Who is where in marine food webs? a trait-based analysis of network positions. Front. Mar. Sci. 8:636042. Estrada E. 2007. Characterization of topological keystone species: local, global and 'meso-scale' centralities in food webs. Ecol. Complex. 4:48-67. Everett MG, Borgatti SP. 2014. Networks containing negative ties. Soc. Networks 38:111-120. Fath B, Patten B. 1999. Review of the foundations of network environ analysis. Ecosystems 2: 167-179. Faust K, Romney AK. 1985. Does STRUCTURE find structure?: A critique of Burt’s use of distance as a measure of structural equivalence. Soc. Networks 7:77-103. Flynn DF, Mirotchnick N, Jain M, Palmer MI, Naeem S. 2011. Functional and phylogenetic diversity as predictors of biodiversity-ecosystem-function relationships. Ecology 92:1573-1581. Freeman L. 1977. A set of measures of centrality based on betweenness. Sociometry 40: 35-41. Gabara SS, Konar BH, Edwards MS. 2021. Biodiversity loss leads to reductions in community-wide trophic complexity. Ecosphere 12:e03361. Gerhold P, Cahill JF, Winter M, Bartish IV, Prinzing A. 2015. Phylogenetic patterns are not proxies of community assembly mechanisms (they are far better). Funct. Ecol. 29:600–614. Guimerà R, Stouffer DB, Sales-Pardo M, Leicht EA, Newman MEJ, Amaral LAN. 2010. Origin of compartmentalization in food webs. Ecology 91:2941-2951. Hardin G. 1960. The competitive exclusion principle. Science 131:1292-1297. Hassell MP, Lawton JH, May RM. 1976. Patterns of dynamical behavior in single species populations. J. Anim. Ecol. 42:471-486. Heymans JJ, Coll M, Libralato S, Morissette L, Christensen V. 2014. Global patterns in ecological indicators of marine food webs: a modelling approach. PLoS One 9:e95845. Hill M. 1973. Diversity and evenness: a unifying notation and its consequences. Ecology 54:427-432. Hogarth WL, Diamond P. 1984. Interspecific competition in larvae between entomophagous parasitoids. Am. Nat. 124:552-560. Holt RD. 1977. Predation, apparent competition and the structure of prey communities. Theor. Popul. Biol. 12:197-229. Holt RD, Polis GA. 1997. A theoretical framework for intraguild predation. Am. Nat. 149:745-764. Johnson SA, Ober HK, Adams DC. 2017. Are keystone species effective umbrellas for habitat conservation? A spatially explicit approach. J. Nat. Conserv. 37:47-55. Jordán F, Liu W-C, van Veen FJF. 2003. Quantifying the importance of species and their interactions in a host-parasitoid community. Community Ecol. 4:79-88. Jordán F, Liu W-C, Wyatt T. 2005. Topological Constraints on the dynamics of wasp‐waist ecosystems. J. Mar. Syst. 57:250‐263. Jordán F, Liu W-C, Davis AJ. 2006. Topological keystone species: measures of positional importance in food webs. Oikos 112:535–546. Jordán F, Liu W-C, Mike Á. 2009. Trophic field overlap: a new approach to quantify keystone species. Ecol. Model. 220:2899-2907. Jordán F, Endrédi A, Liu W-C, D'Alelio D. 2018. Aggregating a plankton food web: mathematical versus biological approaches. Mathematics 6:336. Jost L. 2006. Entropy and diversity. Oikos 113:363-375. Katz L. 1953. A new status index derived from sociometric analysis. Psychometrika 18:39-43. Kleinberg JM. 1999. Authoritative sources in a hyperlinked environment. J. ACM. 46:604-632. Krause AE, Frank KA, Mason DM, Ulanowicz RE, Taylor WW. 2003, Compartments revealed in food-web structure. Nature 426:282-285. Lai S-M, Liu W-C, Jordán F. 2012. On the centrality and uniqueness of species from the network perspective. Biol. Lett. 8:570-573. Lai S-M, Liu W-C, Jordán F. 2015. A trophic overlap-based measure for species uniqueness in ecological networks. Ecol. Model. 299:95-101. Lai S-M, Liu W-C, Chen H-W. 2021. Exploring trophic role similarity and phylogenetic relatedness between species in food webs. Community Ecol. 22:427-440. Laliberté E, Legendre P. 2010. A distance-based framework for measuring functional diversity from multiple traits. Ecology 91:299–305. Layman CA, Arrington DA, Montan˜ a CG, Post DM. 2007. Can stable isotope ratios provide for communitywide measures of trophic structure? Ecology 88:42–48. Levine S. 1980. Several measures of trophic structure applicable to complex food webs. J. theor. Biol. 83:195-207. Lin W-H, Liu W-C. 2021. Revisiting a trophic overlap-based measure for species uniqueness in ecological networks. Community Ecol. 22:453-458. Lin W-H, Lai S-M, Davis AJ, Liu W-C, Jordán F. 2022. A network-based measure of functional diversity in food webs. Biol. Lett. 18:20220183. Liu W-C, Chen H-W. 2022. Idea Paper: Trophic transmission as a potential mechanism underlying the distribution of parasite diversity in food webs. Ecol. Res. 37:485-489. Liu W-C, Lin W-H, Davis AJ, Jordán F, Yang H-T, Hwang M-J. 2007. A network perspective on the topological importance of enzymes and their phylogenetic conservation. BMC Bioinformatics 8:121. Liu W-C, Chen H-W, Jordán F, Lin W-H, Liu CW-J. 2010. Quantifying the interaction structure and the topological importance of species in food webs: a signed digraph approach. J. Theor. Biol. 267:355-362. Liu W-C, Chen H-W, Tsai T-H, Hwang H-K. 2012. A fish tank model for assembling food webs. Ecol. Model. 245:166-175. Liu W-C, Lai S-M, Chen H-W. 2017. A topological similarity-based bootstrapping method for inferring food web parameters. Ecol. Res. 32:797-809. Liu W-C, Huang L-C, Liu CW-J, Jordán F. 2020. A simple approach for quantifying node centrality in signed and directed social networks. Appl. Netw. Sci. 5:46. Lotka AJ. 1932. The growth of mixed populations: two species competing for a common food supply. J. Wash. Acad. Sci. 22:461-469. Luczkovich JJ, Borgatti SP, Johnson JC, Everett MG. 2003. Defining and measuring trophic role similarity in food webs using regular equivalence. J. Theor. Biol. 220:303–321. MacArthur RH. 1965. Patterns of species diversity. Biol. Rev. 40:510-533. Mammola S, Carmona CP, Guillerme T, Cardoso P. 2021. Concepts and applications in functional diversity. Funct. Ecol. 35:1869–1885. Marchiori M, Latora V. 2000. Harmony in the small-world. Phys. A: Stat. Mech. Appl. 285:539-546. Martinez ND. 1991.Artifacts or attributes? Effects of resolution on the Little Rock Lake food web. Ecol. Monogr. 61:367–392. Mason NWH, MacGillivray K, Steel JB, Wilson JB. 2003. An index of functional diversity. J. Veg. Sci. 14:571–578. Mason N, Ward M, Watson JEM, Venter O, Runting RK. 2020. Global opportunities and challenges for transboundary conservation. Nat. Ecol. Evol. 4:694–701. May RM. 1972, Will a large complex system be stable? Nature 238:413-414. May RM. 1976. Simple models with very complicated dynamics. Nature 261:459-467. May RM, Hassell MP. 1981. The dynamics of multiparasitoid-host interactions. Am. Nat. 117:234-261. Maynard Smith J, Slatkin M. 1973. The stability of predator-prey systems. Ecology 54:384-391. Mondal R, Bhat A. 2021. Investigating the trophic ecology of freshwater fish communities from central and eastern Indian streams using stable isotope analysis. Community Ecol. 22:203–215. Moody J, White DR. 2003. Structural cohesion and embeddedness: a hierarchical concept of social groups. Am. Sociol. Rev. 68:103-127. Mouillot D, Mason NHW, Dumay O, Wilson JB. 2005. Functional regularity: a neglected aspect of functional diversity. Oecologia 142:353–359. Müller CB, Adriaanse ICT, Belshaw R, Godfray HCJ. 1999. The structure of an aphid–parasitoid community. J. Anim. Ecol. 68:346-370. Murdoch WW, Oaten A. 1975. Predation and population stability. Adv. Ecol. Res. 9:1-131. Newman MEJ. 2002. Assortative mixing in networks. Phys. Rev. Lett. 89:208701. Newman MEJ. 2006. Modularity and community structure in networks. Proc. Natl. Acad. Sci. U.S.A. 103:8577-8582. Oldham S, Fulcher B, Parkes L, Arnatkevic̆iūtė A, Suo C, Fornito A. 2019. Consistency and differences between centrality measures across distinct classes of networks. PLoS ONE 14:e0220061. Olmo Gilabert R, Navia AF, De La Cruz-Agüero G, Molinero JC, Sommer U, Scotti M. 2019. Body size and mobility explain species centralities in the Gulf of California food web. Community Ecol. 20:149-160. Ortiz M, Hermosillo-Nuñez B, González J, Rodríguez-Zaragoza F, Gómez I, Jordán F. 2017. Quantifying keystone species complexes: ecosystem-based conservation management in the King George Island (Antarctic Peninsula). Ecol. Indic. 81:453-460. Paine RT. 1969. A note on trophic complexity and community stability. Am. Nat. 103:91–93. Paine RT. 1980. Food webs: linkage, interaction strength and community infrastructure. J. Anim. Ecol. 49:667-685. Petchey OL, Gaston KJ. 2002. Functional diversity (FD), species richness and community composition. Ecol. Lett. 5:402–411. Pimm SL. 1979a. Complexity and stability: another look at MacArthur’s original hypothesis. Oikos 33:351-357. Pimm S.L. 1979b. The structure of food webs. Theor. Popul. Biol. 16:144-158. Pimm SL. 1980. Properties of food webs. Ecology 61:219-225. Pimm SL. 1982. Food webs. Chapman & Hall, London. Pimm SL. 1991. The balance of nature: ecological issues in the conservation of species and communities. University of Chicago Press. Pimm SL. 2008. Biodiversity: climate change or habitat loss—which will kill more species? Curr. Biol. 18:R117-R119. Pla L, Casanoves F, Di Rienzo J. 2011. Quantifying functional biodiversity. Springer Briefs in Environmental Science, Springer. Podani J. 2000. Introduction to the exploration of multivariate biological data. Backhuys, Leiden, The Netherlands. Polis GA, Sears AL, Huxel GR, Strong DR, Maron J. 2000. When is a trophic cascade a trophic cascade? Trends Ecol. Evol. 15:473–475. Post DM. 2002. Using stable isotopes to estimate trophic position: models, methods, and assumptions. Ecology 83:703–718. Post DM, Pace ML, Hairston NG. 2000. Ecosystem size determines food-chain length in lakes. Nature 405: 1047–1049. Rao CR. 1982. Diversity and dissimilarity coefficients: a unified approach. Theor. Pop. Biol. 21:24-43. Rezende EL, Albert EM, Fortuna MA, Bascompte J. 2009. Compartments in a marine food web associated with phylogeny, body mass, and habitat structure. Ecol. Lett. 12:779-788. Rott AS, Godfray HCJ. 2000. The structure of a leafminer-parasitoid community. J. Anim. Ecol. 69:274-289. Scheffers BR, Pecl G. 2019. Persecuting, protecting or ignoring biodiversity under climate change. Nat. Clim. Chang. 9:581-586. Schmera D, Eros T, Podani J. 2009. A measure for assessing functional diversity in ecological communities. Aquat. Ecol. 43:157-167. Schmitz OJ, Hambäck PA, Beckerman AP. 2000.Trophic cascades in terrestrial systems: a review of the effects of carnivore removals on plants. Am. Nat. 155:141-153. Schoenly K, Beaver R, Heumier T. 1991. On the trophic relations of insects: a food-web approach. Am. Nat. 137:597-638. Scotti M, Jordán F. 2010. Relationships between centrality indices and trophic positions in food webs. Community Ecol. 11:59–67. Sih A, Crowley P, McPeek M, Petranka J, Strohmeier K. 1985. Predation, competition, and prey communities: a review of field experiments. Annu. Rev. Ecol. Syst. 16:269-311. Spiller DA, Schoener TW. 1994. Effects of top and intermediate predators in a terrestrial food web. Ecology 75:182-196. Stelling J, Klamt S, Battenbrock K, Schuster S, Gilles ED. 2002. Metabolic network structure determines key aspects of functionality and regulation. Nature 420:190-193. Stouffer DB, Bascompte J. 2011. Compartmentalization increases food-web persistence. Proc. Natl. Acad. Sci. U.S.A. 108:3648-3652. Strong DR. 1992. Are trophic cascades all wet? differentiation and donor-control in speciose ecosystems. Ecology:747-754. Tian L, Wang X-W, Wu A-K, Fan Y, Friedman J, Dahlin A, Waldor MK, Weinstock GM, Weiss ST, Liu Y-Y. 2020. Deciphering functional redundancy in the human microbiome. Nat. Commun. 11:6217. Tilman D, Knops J, Wedin D, Reich P, Ritchie M, Siemann E. 1997. The influence of functional diversity and composition on ecosystem processes. Science 277:1300-1302. Vander Zanden MJ, Shuter BJ, Lester N, Rasmussen JB. 1999. Patterns of food chain length in lakes: a stable isotope study. Am. Nat. 154:406-416. Villéger S, Mason NWH, Mouillot D. 2008. New multidimensional functional diversity indices for a multifaceted framework in functional ecology. Ecology 89:2290–2301. Volterra V. 1926. Variations and fluctuations of the numbers of individuals in animal species living together. In: Chapman RN. Animal Ecology. McGraw Hill, New York. Wassermann S, Faust K. 1994. Social network analysis. Cambridge University Press. Webb CO, Ackerly DD, McPeek MA, Donoghue MJ. 2002. Phylogenies and community ecology. Annu. Rev. Ecol. Syst. 33:475–505. Wennerström L, Jansson E, Laikre L. 2017. Baltic Sea genetic biodiversity: current knowledge relating to conservation management. Aquat. Conserv.-Mar. Freshw. Ecosyst. 27:1069-1090. White DR, Harary F. 2001. The cohesiveness of blocks in social networks: node connectivity and conditional density. Sociol. Methodol. 31:305-359. White HC, Reitz KP. 1983. Graph and semigroup homomorphisms on networks of relations. Soc. Networks 5:193-235. Williams RJ, Martinez ND. 2000. Simple rules yield complex food webs. Nature 404:180-183. Yodzis P, Winemiller KO. 1999. In search of operational trophospecies in a tropical aquatic food web. Oikos 87:327-340. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86091 | - |
dc.description.abstract | 在氣候劇烈變遷時代,生物多樣性的喪失儼然是一個迫切關注的議題,而如何量化生態系中物種的重要性和多樣性是生態研究中的兩個緊迫問題。由於物種的獵補關係而形成食物網,因此引發我們想從拓撲網路學角度量化物種重要性和生物多樣性。傳統上,物種網路的重要性即考慮了物種對整個食物網的影響以及其所處位置的中心性;近來,另一個物種重要性的評斷概念也逐漸被重視,那就是物種獨特性。在本論文中,我們提出了一個直覺的物種獨特性測量方法,以矩陣方式量化了食物網中物種彼此間的相互影響,進而計算物種間的距離與獨特性。本論文所產生的結果與過往研究方法所產生的結果近乎相同;然而避免重複使用計算的資訊、所耗費的計算時間也更少。此外,本論文也提供了一個基本框架,可用於接受不同的網路特質和距離度量以量化物種的獨特性。 生態系統的生物多樣性可以通過多種方式量化,其中之一即為「功能多樣性」,其可量化生態系統中物種特徵的異質性,此處「功能多樣性」包括物種特徵的豐富性,多樣性與差異性。本論文中,提出了三種不同類型且基於網路基礎的「功能多樣性」測量方式。第一種是基於食物網的物種相互作用結構、第二種是基於各種拓撲中心性指數、第三種類型是基於物種在食物網中的獵食關係。此處也研究了基於網路的功能多樣性與食物網的網路屬性之間的關係,以及它們與傳統的基於生態特徵的功能多樣性指數的關係。本論文分析表明,連接性稀疏的食物網和具有高度模塊化結構的食物網往往具有高度基於網絡的功能多樣性。此外,基於網絡的功能多樣性指數與其傳統的基於特徵的對應物之間的適度相關性表明,我們的方法提供了生態系統功能多樣性的補充視圖。 | zh_TW |
dc.description.abstract | The loss of biodiversity is a major concern in the era of global warming and climate change. How to quantify species’ importance and biodiversity of an ecosystem are two pressing issues in ecological research. Since species interact trophically forming a food web, it is nature to quantify species importance and biodiversity from a network perspective. Traditionally, the network perspective of species importance considers the effect of a species on the whole food and the centrality of species’ network position. Recently the concept of species uniqueness has been suggested as an alternative view on species importance. In this study, we propose a simple species uniqueness measurement. Our approach quantifies the effects between species, which constitute the interaction structure of a food web. Rows of such an interaction matrix are compared to compute distances between species, which are then used to calculate uniqueness values of species in a food web. Our approach produces results almost identical to that from a previous approach; however, ours requires less information and therefore requires much shorter computation time. Our approach also provides a basic framework for quantifying species uniqueness using different network-related information and distance measures. Biodiversity of an ecosystem can be quantified in various ways. One of them, functional diversity, quantifies the heterogeneity in species traits in an ecosystem. Since species’ network positions in a food web reflect their functional roles, we argue functional diversity of an ecosystem can also be measured from a network perspective. In this study, we propose three different types of network-based functional diversity measurement. The first type is based on the interaction structure of a food web, and the functional diversity of a food web is the average dissimilarity between species’ interaction profiles. The second type is based on various centrality indices. Here, different centrality indices are applied to quantify the network position of species; and the functional diversity of a food web is quantified by several properties of species distribution in a multi-dimensional centrality trait space. The third type is based on the trophic role of species in a food web. Functional diversity here includes average trophic role dissimilarity between species, the number of trophic role groups, and how evenly species are partitioned into different trophic roles. Furthermore, we investigate the relationship between network-based functional diversity and several network properties of a food web, as well as their relationship with conventional trait-based functional diversity indices. Our analysis suggests that sparsely connected food webs and those with highly modular structures tend to have high network-based functional diversity. Also, the moderate correlation between network-based functional diversity indices and their conventional trait-based counterparts suggests that our approach provides a complementary view of an ecosystem’s functional diversity. | en |
dc.description.provenance | Made available in DSpace on 2023-03-19T23:36:25Z (GMT). No. of bitstreams: 1 U0001-0209202213524000.pdf: 2112048 bytes, checksum: a084f287330a143723b942941f88c60a (MD5) Previous issue date: 2022 | en |
dc.description.tableofcontents | CONTENTS Chapter 1 Introduction 1 1.1 Structural organization of food webs 3 1.2 Governing processes shaping food webs 4 1.3 Food web models 5 1.4 Quantifying species importance in food webs 7 1.5 Research topics explored in this thesis 10 Chapter 2 A basic description of food web datasets 12 2.1 Dataset sources 12 2.2 Information in each dataset 12 2.3 The nature of ecosystems and their geographical distribution 13 Chapter 3 Simplifying a trophic overlap-based measure for species uniqueness in food webs 17 3.1 Introduction 17 3.2 Trophic field overlap-based uniqueness index 19 3.3 Using interaction matrix to compute species uniqueness index 23 3.4 Discussion and conclusion 26 Chapter 4 Functional diversity from a network perspective I: an interaction-based functional diversity index 30 4.1 Introduction 30 4.2 Material and method 32 4.2.1 Food web data analyzed in this study 32 4.2.2 Measuring functional diversity from the interaction structure of a food web 32 4.2.3 Global network properties 34 4.2.4 Conventional functional diversity indices 35 4.2.5 Weight of trophic links 36 4.2.6 Number of steps n 36 4.3 Results 36 4.4 Discussion 42 Chapter 5 Functional diversity from a network perspective II: a centrality-based functional diversity index 49 5.1 Introduction 49 5.2 Material and method 51 5.2.1 Food web data analyzed in this study 51 5.2.2 Centrality indices 51 5.2.3 Relationship between centrality indices 54 5.2.4 Functional diversity indices 55 5.2.5 Global network properties 56 5.3 Results 57 5.3.1 Relationship between centrality indices 57 5.3.2 Relationship between centrality-based functional diversity and network structure 65 5.3.3 Relationship between centrality-based functional diversity indices and other functional diversity indices 66 5.4 Discussions 67 Chapter 6 Functional diversity from a network perspective III: a trophic role-based functional diversity index 72 6.1 Introduction 72 6.2 Material and method 77 6.2.1 Food web data analyzed in this study 77 6.2.2 Measuring trophic role similarity between species 77 6.2.4 Global network properties 83 6.3 Results 83 6.3.1 A demonstrative result using the GBR food web 84 6.3.3 Comparison with a random food web model 88 6.3.4 Relationship with global network properties 91 6.3.5 Relationship with other functional diversity indices 92 6.4 Discussion 93 Chapter 7 Conclusion 96 References 100 Appendix 1 Method used to quantify the interaction structure of a food web 120 | |
dc.language.iso | en | |
dc.title | 以網路型式量化食物網中物種的獨特性與功能多樣性 | zh_TW |
dc.title | Quantifying species uniqueness and functional diversity in food webs: a network approach | en |
dc.type | Thesis | |
dc.date.schoolyear | 110-2 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | 林振慶(Chen-Ching Lin),陳宣汶(Hsuan-Wien Chen),(Marco Scotti),(Ferenc Jordán) | |
dc.subject.keyword | 生態網路,食物網,獨特性,中心性, | zh_TW |
dc.subject.keyword | food web,network,uniqueness,functional diversity, | en |
dc.relation.page | 140 | |
dc.identifier.doi | 10.6342/NTU202203106 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2022-09-13 | |
dc.contributor.author-college | 生命科學院 | zh_TW |
dc.contributor.author-dept | 基因體與系統生物學學位學程 | zh_TW |
dc.date.embargo-lift | 2022-09-23 | - |
顯示於系所單位: | 基因體與系統生物學學位學程 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
U0001-0209202213524000.pdf | 2.06 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。