scholarly journals Reconciling competing hypotheses regarding flower–leaf sequences in temperate forests for fundamental and global change biology

2020 ◽  
Vol 229 (3) ◽  
pp. 1206-1214
Author(s):  
D. M. Buonaiuto ◽  
Ignacio Morales‐Castilla ◽  
E. M. Wolkovich
Keyword(s):  
Global Change ◽  
Temperate Forests ◽  
Global Change Biology ◽  
Competing Hypotheses

scholarly journals Announcing GCB reviews – The past, present and future of global change biology at your fingertips

2021 ◽  
Vol 27 (7) ◽  
pp. 1326-1327
Author(s):  
Danielle A. Way
Keyword(s):  
Global Change ◽  
The Past ◽  
Global Change Biology

Research challenges and opportunities for using big data in global change biology

2020 ◽  
Vol 26 (11) ◽  
pp. 6040-6061 ◽  
Author(s):  
Jianyang Xia ◽  
Jing Wang ◽  
Shuli Niu
Keyword(s):  
Big Data ◽  
Global Change ◽  
Global Change Biology ◽  
Research Challenges ◽  
Challenges And Opportunities

Exploring long-term trends in marine ecosystems: machine-learning approaches to global change biology

2021 ◽  
Author(s):  
Domenico D'Alelio ◽  
Salvatore Rampone ◽  
Luigi Maria Cusano ◽  
Nadia Sanseverino ◽  
Luca Russo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Global Change ◽  
Marine Ecosystems ◽  
Learning Approaches ◽  
Global Change Biology ◽  
Long Term Trends

scholarly journals Fungarium specimens: a largely untapped source in global change biology and beyond

2018 ◽  
Vol 374 (1763) ◽  
pp. 20170392 ◽  
Author(s):  
Carrie Andrew ◽  
Jeffrey Diez ◽  
Timothy Y. James ◽  
Håvard Kauserud
Keyword(s):  
Global Change ◽  
Dna Sequences ◽  
Large Scale ◽  
Dna Analysis ◽  
Sampling Location ◽  
Sources Of Information ◽  
Dispersal Patterns ◽  
Global Change Biology ◽  
Richness Patterns ◽  
Collection Date

For several hundred years, millions of fungal sporocarps have been collected and deposited in worldwide collections (fungaria) to support fungal taxonomy. Owing to large-scale digitization programs, metadata associated with the records are now becoming publicly available, including information on taxonomy, sampling location, collection date and habitat/substrate information. This metadata, as well as data extracted from the physical fungarium specimens themselves, such as DNA sequences and biochemical characteristics, provide a rich source of information not only for taxonomy but also for other lines of biological inquiry. Here, we highlight and discuss how this information can be used to investigate emerging topics in fungal global change biology and beyond. Fungarium data are a prime source of knowledge on fungal distributions and richness patterns, and for assessing red-listed and invasive species. Information on collection dates has been used to investigate shifts in fungal distributions as well as phenology of sporocarp emergence in response to climate change. In addition to providing material for taxonomy and systematics, DNA sequences derived from the physical specimens provide information about fungal demography, dispersal patterns, and are emerging as a source of genomic data. As DNA analysis technologies develop further, the importance of fungarium specimens as easily accessible sources of information will likely continue to grow. This article is part of the theme issue ‘Biological collections for understanding biodiversity in the Anthropocene’.

scholarly journals Global Change Biology Introduction-FACEing the future conference

2018 ◽  
Vol 24 (9) ◽  
pp. 3873-3874
Author(s):  
Christoph Müller ◽  
Gerald Moser
Keyword(s):  
Global Change ◽  
Future Conference ◽  
Global Change Biology ◽  
The Future

scholarly journals How eddy covariance flux measurements have contributed to our understanding of Global Change Biology

2019 ◽  
Vol 26 (1) ◽  
pp. 242-260 ◽  
Author(s):  
Dennis D. Baldocchi
Keyword(s):  
Global Change ◽  
Eddy Covariance ◽  
Global Change Biology ◽  
Flux Measurements

Editorial overview: Global change biology: Insects in a hot, crowded and connected world

2015 ◽  
Vol 11 ◽  
pp. iv-vi
Author(s):  
Steven L Chown
Keyword(s):  
Global Change ◽  
Global Change Biology

scholarly journals Editorial overview: Global change biology: Linking pattern and process to prediction and policy

2016 ◽  
Vol 17 ◽  
pp. iv-v
Author(s):  
Vladimir Koštál ◽  
Brent J Sinclair
Keyword(s):  
Global Change ◽  
Pattern And Process ◽  
Global Change Biology
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