

You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Fifteen emerging challenges and opportunities for vegetation science: A horizon scan by early career researchers

handle: 11250/3049399 , 10261/284322 , 11365/1248607 , 10067/1874170151162165141 , 10278/3762788 , 11590/416030 , 11581/457840 , 1893/35233
handle: 11250/3049399 , 10261/284322 , 11365/1248607 , 10067/1874170151162165141 , 10278/3762788 , 11590/416030 , 11581/457840 , 1893/35233
AbstractWith the aim to identify future challenges and opportunities in vegetation science, we brought together a group of 22 early career vegetation scientists from diverse backgrounds to perform a horizon scan. In this contribution, we present a selection of 15 topics that were ranked by participants as the most emergent and impactful for vegetation science in the face of global change. We highlight methodological tools that we expect will play a critical role in resolving emerging issues by providing ways to unveil new aspects of plant community dynamics and structure. These tools include next generation sequencing, plant spectral imaging, process‐based species distribution models, resurveying studies and permanent plots. Further, we stress the need to integrate long‐term monitoring, the study of novel ecosystems, below‐ground traits, pollination interactions and global networks of near‐surface microclimate data at fine spatio‐temporal resolutions to fully understand and predict the impacts of climate change on vegetation dynamics. We also emphasize the need to integrate traditional forms of knowledge and a diversity of stakeholders into research, teaching, management and policy‐making to advance the field of vegetation science. The conclusions reached by this horizon scan naturally reflect the background, expertise and interests of a representative pool of early career vegetation scientists, which should serve as basis for future developments in the field.
- University of Trieste Italy
- University of Stirling United Kingdom
- University of Camerino Italy
- Bjerknes Centre for Climate Research Norway
- Roma Tre University Italy
570, Take urgent action to combat climate change and its impacts, Horizon scan, 910, Vegetation dynamics, climate change; early career scientists; global change; horizon scan; methodological tools; vegetation dynamics, Vegetation Dynamics, horizon scan, Climate change, methodological tools, Biology, Global change, global change, early career scientists, 580, Early career scientists, vegetation dynamics, //metadata.un.org/sdg/13 [http], 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie, Chemistry, climate change, early career scientists, global change, horizon scan, Vegetation Dynamics, methodological tools, Climate change, Methodological tools
570, Take urgent action to combat climate change and its impacts, Horizon scan, 910, Vegetation dynamics, climate change; early career scientists; global change; horizon scan; methodological tools; vegetation dynamics, Vegetation Dynamics, horizon scan, Climate change, methodological tools, Biology, Global change, global change, early career scientists, 580, Early career scientists, vegetation dynamics, //metadata.un.org/sdg/13 [http], 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie, Chemistry, climate change, early career scientists, global change, horizon scan, Vegetation Dynamics, methodological tools, Climate change, Methodological tools
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 55 download downloads 55 - 55views55downloads
Data source Views Downloads DIGITAL.CSIC 55 55


