191
Freschet GT, Aerts R, Cornelissen JHC (2012) A plant economics spectrum of litter decomposability. Funct Ecol 16:56–65
Frey BR, Lieffers VJ, Hogg EH, Landhausser SM (2004) Predicting landscape patterns of aspen
dieback: mechanisms and knowledge gaps. Can J For Res 34:1379–1390
Fujii S, Mori AS, Koide D, Makoto K, Matsuoka S, Osono T, Isbell F (2017) Disentangling relationships between plant diversity and decomposition processes under forest restoration. J Appl
Ecol 54:80–90
Funk JL, Larson JE, Ames GM, Butterfield BJ, Cavender-Bares J, Firn J, Laughlin DC, SuttonGrier AE, Williams L, Wright J (2017) Revisiting the Holy Grail: using plant functional traits
to understand ecological processes. Biol Rev 92:1156–1173
Gamon J (2008) Tropical remote sensing: opportunities and challenges. In: Kalacska M, SanchezAzofeifa GA (eds) Hyperspectral remote sensing of tropical and subtropical forests. CRC
Press, New York, pp 297–305
García-Palacios P, Prieto I, Ourcival JM, Hättenschwiler S (2016) Disentangling the litter quality
and soil microbial contribution to leaf and fine root litter decomposition responses to reduced
rainfall. Ecosystems 19:490–503
Gartner TB, Cardon ZG (2004) Decomposition dynamics in mixed-species leaf litter. Oikos
104:230–246
Gessner MO, Swan CM, Dang CK, McKie BG, Bardgett RD, Wall DH, Hättenschwiler S (2010)
Diversity meets decomposition. Trends Ecol Evol 25:372–380
Gholizadeh H, Gamon JA, Townsend PA, Zygielbaum AI, Helzer CJ, Hmimina GY, Yu R, Moore
RM, Schweiger AK, Cavender-Bares J (2019) Detecting prairie biodiversity with airborne
remote sensing. Remote Sens Environ 221:38–49
Gillon D, Joffre R, Dardenne P (1993) Predicting the stage of decay of decomposing leaves
by near-infrared reflectance spectroscopy. Can J For Res-Revue Canadienne de Recherche
Forestiere 23:2552–2559
Gillon D, Houssard C, Joffre R (1999) Using near- infrared reflectance spectroscopy to predict carbon, nitrogen and phosphorus content in heterogeneous plant material. Oecologia 118:173–182
Gould IJ, Quinton JN, Weigelt A, De Deyn GB, Bardgett RD (2016) Plant diversity and root traits
benefit physical properties key to soil function in grasslands. Ecol Lett 19:1140–1149
Grossman JJ, Vanhellemont M, Barsoum N, Bauhus J, Bruelheide H, Castagneyrol B, Cavenderbares J, Eisenhauer N, Ferlian O, Gravel D, Hector A, Jactel H, Kreft H, Mereu S, Messier C,
Muys B, Nock C, Paquette A, Parker J, Perring MP, Ponette Q, Reich PB, Schuldt A, Staab M,
Weih M, Clara D, Scherer-lorenzen M, Verheyen K (2018) Synthesis and future research directions linking tree diversity to growth, survival, and damage in a global network of tree diversity
experiments ☆. Environ Exp Bot 152:68–89
Handa IT, Aerts R, Berendse F, Berg MP, Bruder A, Butenschoen O, Chauvet E, Gessner MO,
Jabiol J, Makkonen M, McKie BG, Malmqvist B, Peeters ETHM, Scheu S, Schmid B, Van
Ruijven J, Vos VCA, Hättenschwiler S (2014) Consequences of biodiversity loss for litter
decomposition across biomes. Nature 509:218–221
Haslam E (1989) Plant polyphenols: vegetable tannins revisited. Cambridge University Press,
Cambridge
Hatakka A, Hammel KE (2010) Fungal biodegradation of lignocelluloses. In: Osiewacz HD (ed)
The Mycota: a comprehensive treatise on fungi as experimental systems for basic and applied
research. Springer, New York, pp 319–334
Hättenschwiler S, Jørgensen HB (2010) Carbon quality rather than stoichiometry controls litter
decomposition in a tropical rain forest. J Ecol 98:754–763
Hättenschwiler S, Vitousek P (2000) The role of polyphenols in terrestrial ecosystem nutrient
cycling. TREE 15:238–243
Hättenschwiler S, Tiunov AV, Scheu S (2005) Biodiversity and litter decomposition in terrestrial
ecosystems. Ann Rev Ecol Evol Syst 36:191–218
Hättenschwiler S, Aeschlimann B, Coûteaux M-M, Roy J, Bonal D (2008) High variation in foliage and leaf litter chemistry among 45 tree species of a neotropical rainforest community. New
Phytol 179:165–75
8 Linking Foliar Traits to Belowground Processes
Freschet GT, Aerts R, Cornelissen JHC (2012) A plant economics spectrum of litter decomposability. Funct Ecol 16:56–65
Frey BR, Lieffers VJ, Hogg EH, Landhausser SM (2004) Predicting landscape patterns of aspen
dieback: mechanisms and knowledge gaps. Can J For Res 34:1379–1390
Fujii S, Mori AS, Koide D, Makoto K, Matsuoka S, Osono T, Isbell F (2017) Disentangling relationships between plant diversity and decomposition processes under forest restoration. J Appl
Ecol 54:80–90
Funk JL, Larson JE, Ames GM, Butterfield BJ, Cavender-Bares J, Firn J, Laughlin DC, SuttonGrier AE, Williams L, Wright J (2017) Revisiting the Holy Grail: using plant functional traits
to understand ecological processes. Biol Rev 92:1156–1173
Gamon J (2008) Tropical remote sensing: opportunities and challenges. In: Kalacska M, SanchezAzofeifa GA (eds) Hyperspectral remote sensing of tropical and subtropical forests. CRC
Press, New York, pp 297–305
García-Palacios P, Prieto I, Ourcival JM, Hättenschwiler S (2016) Disentangling the litter quality
and soil microbial contribution to leaf and fine root litter decomposition responses to reduced
rainfall. Ecosystems 19:490–503
Gartner TB, Cardon ZG (2004) Decomposition dynamics in mixed-species leaf litter. Oikos
104:230–246
Gessner MO, Swan CM, Dang CK, McKie BG, Bardgett RD, Wall DH, Hättenschwiler S (2010)
Diversity meets decomposition. Trends Ecol Evol 25:372–380
Gholizadeh H, Gamon JA, Townsend PA, Zygielbaum AI, Helzer CJ, Hmimina GY, Yu R, Moore
RM, Schweiger AK, Cavender-Bares J (2019) Detecting prairie biodiversity with airborne
remote sensing. Remote Sens Environ 221:38–49
Gillon D, Joffre R, Dardenne P (1993) Predicting the stage of decay of decomposing leaves
by near-infrared reflectance spectroscopy. Can J For Res-Revue Canadienne de Recherche
Forestiere 23:2552–2559
Gillon D, Houssard C, Joffre R (1999) Using near- infrared reflectance spectroscopy to predict carbon, nitrogen and phosphorus content in heterogeneous plant material. Oecologia 118:173–182
Gould IJ, Quinton JN, Weigelt A, De Deyn GB, Bardgett RD (2016) Plant diversity and root traits
benefit physical properties key to soil function in grasslands. Ecol Lett 19:1140–1149
Grossman JJ, Vanhellemont M, Barsoum N, Bauhus J, Bruelheide H, Castagneyrol B, Cavenderbares J, Eisenhauer N, Ferlian O, Gravel D, Hector A, Jactel H, Kreft H, Mereu S, Messier C,
Muys B, Nock C, Paquette A, Parker J, Perring MP, Ponette Q, Reich PB, Schuldt A, Staab M,
Weih M, Clara D, Scherer-lorenzen M, Verheyen K (2018) Synthesis and future research directions linking tree diversity to growth, survival, and damage in a global network of tree diversity
experiments ☆. Environ Exp Bot 152:68–89
Handa IT, Aerts R, Berendse F, Berg MP, Bruder A, Butenschoen O, Chauvet E, Gessner MO,
Jabiol J, Makkonen M, McKie BG, Malmqvist B, Peeters ETHM, Scheu S, Schmid B, Van
Ruijven J, Vos VCA, Hättenschwiler S (2014) Consequences of biodiversity loss for litter
decomposition across biomes. Nature 509:218–221
Haslam E (1989) Plant polyphenols: vegetable tannins revisited. Cambridge University Press,
Cambridge
Hatakka A, Hammel KE (2010) Fungal biodegradation of lignocelluloses. In: Osiewacz HD (ed)
The Mycota: a comprehensive treatise on fungi as experimental systems for basic and applied
research. Springer, New York, pp 319–334
Hättenschwiler S, Jørgensen HB (2010) Carbon quality rather than stoichiometry controls litter
decomposition in a tropical rain forest. J Ecol 98:754–763
Hättenschwiler S, Vitousek P (2000) The role of polyphenols in terrestrial ecosystem nutrient
cycling. TREE 15:238–243
Hättenschwiler S, Tiunov AV, Scheu S (2005) Biodiversity and litter decomposition in terrestrial
ecosystems. Ann Rev Ecol Evol Syst 36:191–218
Hättenschwiler S, Aeschlimann B, Coûteaux M-M, Roy J, Bonal D (2008) High variation in foliage and leaf litter chemistry among 45 tree species of a neotropical rainforest community. New
Phytol 179:165–75
8 Linking Foliar Traits to Belowground Processes