Land carbon cycle components in an Earth system model (ESM) play a crucial role in the projections of forest ecosystem responses to climate/environmental changes. Evaluating models from the viewpoint of observations is essential for an improved understanding of model performance and for identifying uncertainties in their outputs. Herein, we evaluated the land net primary production (NPP) for circumboreal forests simulated with 10 ESMs in Phase 5 of the Coupled Model Intercomparison Project by comparisons with observation-based indexes for forest productivity, namely, the composite version 3G of the normalized difference vegetation index (NDVI3g) and tree-ring width index (RWI). These indexes show similar patterns in response to past climate change over the forests, i.e., a one-year time lag response and smaller positive responses to past climate changes in comparison with the land NPP simulated by the ESMs. The latter showed overly positive responses to past temperature and/or precipitation changes in comparison with the NDVI3g and RWI. These results indicate that ESMs may overestimate the future forest NPP of circumboreal forests (particularly for inland dry regions, such as inner Alaska and Canada, and eastern Siberia, and for hotter, southern regions, such as central Europe) under the expected increases in both average global temperature and precipitation, which are common to all current ESMs.
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http://dx.doi.org/10.1002/pei3.10025 | DOI Listing |
Ecol Evol
January 2025
Government of Alberta, Forestry and Parks Canmore Alberta Canada.
Mol Phylogenet Evol
January 2025
State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, the Chinese Academy of Sciences, Beijing 100093, China; China National Botanical Garden, Beijing 100093, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address:
As the Earth warms, understanding the long-term dynamics of forest ecosystems is essential for guiding forest management and biodiversity conservation. Insights from past dynamics may provide valuable lessons for managing today's forests. Here, we investigated the spatiotemporal evolution of global larches to gain further insights into how boreal forests change over time.
View Article and Find Full Text PDFAnn Bot
December 2024
Botanical Garden-Institute Far Eastern Branch, Russian Academy of Sciences, Vladivostok, 690024, Russia.
Background And Aims: The Labrador teas (genus Rhododendron, subsection Ledum) are a complex of species widely distributed in the Northern Hemisphere. They occupy cold-resistant plant communities from highlands to forest understorey and wetland habitats almost circumboreally and they are especially abundant in Northeast Asia and northern North America, yet there are no clear species boundaries in this group. The genetic structure of species of subsect.
View Article and Find Full Text PDFCurr Biol
March 2024
School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA; Department of Ecology and Evolutionary Biology, BIO5 Institute, Ecosystem Genomics Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ 85721, USA. Electronic address:
Understanding how symbiotic associations differ across environmental gradients is key to predicting the fate of symbioses as environments change, and it is vital for detecting global reservoirs of symbiont biodiversity in a changing world. However, sampling of symbiotic partners at the full-biome scale is difficult and rare. As Earth's largest terrestrial biome, boreal forests influence carbon dynamics and climate regulation at a planetary scale.
View Article and Find Full Text PDFSci Total Environ
May 2022
Swiss Ornithological Institute, Sempach, Switzerland.
The capercaillie Tetrao urogallus - the world's largest grouse- is a circumboreal forest species, which only two remaining populations in Spain: one in the Cantabrian mountains in the west and the other in the Pyrenees further east. Both have shown severe declines, especially in the Cantabrian population, which has recently been classified as "Critically Endangered". To develop management plans, information on demographic parameters is necessary to understand and forecast population dynamics.
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