LINKING PLANT STRATEGIES (CSR) AND REMOTELY SENSED PLANT TRAITS

被引：0

作者：

Kattenborn, Teja ^{[1
]}

Lopatin, Javier ^{[1
]}

Fassnacht, Fabian ^{[1
]}

Schmidtlein, Sebastian ^{[1
]}

机构：

[1] KIT, IfGG, Karlsruhe, Germany

来源：

2016 8TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | 2016年

关键词：

PROSAIL; CSR; Plant traits; RTM; CANOPY BIOPHYSICAL VARIABLES; LEAF-AREA INDEX; REFLECTANCE; GRASSLAND; MODEL; INVERSION; ECONOMICS; PROSPECT;

D O I：

暂无

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

The widely established CSR-model quantitatively groups plants according to their ecological response, i.e. competitiveness, stress-toleration and ruderality. These plant strategies are allocated using plant traits. We assess the potential of canopy traits derived by imaging spectroscopy and inverted radiative transfer models for allocating CSR-scores. Our findings indicate that plant traits (LAI, Cab, Car and SLA) are valuable 'soft traits' to map plant strategies.

引用

页数：5

共 50 条

[21] Linking Plant Production Traits with Performance in Organic Systems
Silva, Erin
Carr, Patrick
HORTSCIENCE, 2009, 44 (04) : 1039 - 1039
[22] COMPETITION IN SEAWEEDS - LINKING PLANT TRAITS TO COMPETITIVE OUTCOMES
OLSON, AM
LUBCHENCO, J
JOURNAL OF PHYCOLOGY, 1990, 26 (01) : 1 - 6
[23] Plant water use related to leaf traits and CSR strategies of 10 common European green roof species
Lonnqvist, Joel
Farrell, Claire
Schrieke, Dean
Viklander, Maria
Blecken, Godecke-Tobias
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 890
[24] Parcel level temporal variance of remotely sensed spectral reflectance predicts plant diversity
Rossi, Christian
Mcmillan, Nicholas A.
Schweizer, Jan M.
Gholizadeh, Hamed
Groen, Marvin
Ioannidis, Nikolaos
Hauser, Leon T.
ENVIRONMENTAL RESEARCH LETTERS, 2024, 19 (07):
[25] Remotely Sensed Soil Moisture Can Capture Dynamics Relevant to Plant Water Uptake
Feldman, Andrew F. F.
Gianotti, Daniel J. Short J.
Dong, Jianzhi
Akbar, Ruzbeh
Crow, Wade T. T.
McColl, Kaighin A. A.
Konings, Alexandra G. G.
Nippert, Jesse B. B.
Tumber-Davila, Shersingh Joseph
Holbrook, Noel M. M.
Rockwell, Fulton E. E.
Scott, Russell L. L.
Reichle, Rolf H. H.
Chatterjee, Abhishek
Joiner, Joanna
Poulter, Benjamin
Entekhabi, Dara
WATER RESOURCES RESEARCH, 2023, 59 (02)
[26] Plant area estimation by the integration of multisource remotely sensed data and in-situ data
Pan, YX
He, C
Gu, XH
Liu, XL
Li, J
IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 5023 - 5025
[27] Unraveling plant strategies in tidal marshes by investigating plant traits and environmental conditions
Ostermann, Tilla Schulte
Heuner, Maike
Fuchs, Elmar
Temmerman, Stijn
Schoutens, Ken
Bouma, Tjeerd J.
Minden, Vanessa
JOURNAL OF VEGETATION SCIENCE, 2021, 32 (03)
[28] An approach to linking remotely sensed data and areal census data
Chen, K
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (01) : 37 - 48
[29] Linking plant genes to insect communities: Identifying the genetic bases of plant traits and community composition
Barker, Hilary L.
Riehl, Jennifer F.
Bernhardsson, Carolina
Rubert-Nason, Kennedy F.
Holeski, Liza M.
Ingvarsson, Par K.
Lindroth, Richard L.
MOLECULAR ECOLOGY, 2019, 28 (19) : 4404 - 4421
[30] Linking landscape history and dispersal traits in grassland plant communities
Purschke, Oliver
Sykes, Martin T.
Reitalu, Triin
Poschlod, Peter
Prentice, Honor C.
OECOLOGIA, 2012, 168 (03) : 773 - 783

← 1 2 3 4 5 →