Vegetation growth and landscape genetics of Tillandsia lomas at their dry limits in the Atacama Desert show fine-scale response to environmental parameters
This page lists all metadata that was entered for this dataset. Only registered users of the CRC1211DB may download this file.
Feature
Request download
Citation
Citation Options
Identification
Title: | Main Title: Vegetation growth and landscape genetics of Tillandsia lomas at their dry limits in the Atacama Desert show fine-scale response to environmental parameters |
Description: | Abstract: 1. Ecosystem dry limits have been studied in the context of species biology, fitness, and interactions with biotic and abiotic parameters, but the interactive effects of these parameters remain underexplored. Therefore, information on the putative effects of global climate change on these ecosystems is often lacking. 2. We analyzed the interplay between fine-scale landscape genetics and biotic and abiotic factors of terrestrial Tillandsia lomas in the hyperarid Atacama Desert, characterized by a fog-dependent vegetation type almost entirely dominated by one single vascular plant species. 3. We showed that metapopulations of Tillandsia landbeckii are genetically connected over many hundreds of square kilometers, and despite having a large potential for clonal propagation, genetic diversity is regionally and locally structured. At the landscape level, genetic diversity correlates well with fitness parameters such as growth, flowering, and vegetation density. We also observed fine-scale correlation with a 3-D landscape model indicating a positive feedback with seasonal fog occurrence and availability. The various interactions of biotic and abiotic factors resulted in regular linear banding patterns of vegetation arranged orthogonally toward the landscape slope. Ex situ growth experiments indicated that T. landbeckii grows at optimal rates in this extreme hyperarid environment, and we can extrapolate mean biomass production for this ecosystem. 4. Synthesis. Our results suggest that the unique ecosystem of terrestrial Tillandsia lomas in the hyperarid Atacama Desert is an evolutionarily balanced and finescaled system. The vegetation itself is composed of long-lived and persistent modules. We developed a descriptive model of the various interacting factors, thereby also highlighting the severe threat caused by global climate change potentially associated with fog disturbance patterns along the Chilean Pacific coast. |
Identifier: | DOI: 10.1002/ece3.6924 (DOI) |
Responsible Party
Creators: | Marcus Koch (Author), Clara Stock (Author), Dorothea Kleinpeter (Author), Camilo del Río (Author), Pablo Osses (Author), Felix F. Merklinger (Author), Dietmar Quandt (Author), Alexander Siegmund (Author) |
Publisher: | John Wiley & Sons Ltd. |
Publication Year: | 2021 |
Topic
CRC1211 Topic: | Biology |
Related Subproject: | B1 |
Subjects: | Keywords: Biodiversity, Biogeography, Ecology of Plants, Population Genetics |
Geogr. Information Topic: | Biota |
File Details
Filename: | 108_Koch_Tillandsia.pdf |
Data Type: | Text - Article |
File Size: | 2.3 MB |
Date: | Accepted: 21.09.2020 |
Mime Type: | application/pdf |
Data Format: | |
Language: | English |
Status: | Completed |
Constraints
Download Permission: | Only Project Members |
General Access and Use Conditions: | According to the CRC1211DB data policy agreement. |
Access Limitations: | According to the CRC1211DB data policy agreement. |
Licence: | None |
Geographic
Specific Information - Publication
Publication Status: | Published |
Review Status: | Peer reviewed |
Publication Type: | Article |
Source: | Ecology and Evolution |
Volume: | 10 |
Number of Pages: | 15 (1 - 15) |
Metadata Details
Metadata Creator: | Dietmar Quandt |
Metadata Created: | 27.01.2021 |
Metadata Last Updated: | 27.01.2021 |
Subproject: | B1 |
Funding Phase: | 1 |
Metadata Language: | English |
Metadata Version: | V50 |
Metadata Export
Metadata Schema: |
Dataset Statistics
Page Visits: | 321 |
Metadata Downloads: | 0 |
Dataset Downloads: | 2 |
Dataset Activity
Feature
Download
By downloading this dataset you accept the license terms of CRC1211DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.