Effects of species biological traits and environmental heterogeneity on simulated tree species distribution shifts under climate change

2018 ◽  
Vol 634 ◽  
pp. 1214-1221 ◽  
Author(s):  
Wen J. Wang ◽  
Hong S. He ◽  
Frank R. Thompson ◽  
Martin A. Spetich ◽  
Jacob S. Fraser
PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0195851 ◽  
Author(s):  
Carlos E. Manchego ◽  
Patrick Hildebrandt ◽  
Jorge Cueva ◽  
Carlos Iván Espinosa ◽  
Bernd Stimm ◽  
...  

2019 ◽  
Vol 29 (3) ◽  
pp. 590-602 ◽  
Author(s):  
Youri Martin ◽  
Hans Van Dyck ◽  
Pierre Legendre ◽  
Josef Settele ◽  
Oliver Schweiger ◽  
...  

2020 ◽  
Author(s):  
Flurin Babst ◽  
Richard L. Peters ◽  
Rafel O. Wüest ◽  
Margaret E.K. Evans ◽  
Ulf Büntgen ◽  
...  

<p>Warming alters the variability and trajectories of tree growth around the world by intensifying or alleviating energy and water limitation. This insight from regional to global-scale research emphasizes the susceptibility of forest ecosystems and resources to climate change. However, globally-derived trends are not necessarily meaningful for local nature conservation or management considerations, if they lack specific information on present or prospective tree species. This is particularly the case towards the edge of their distribution, where shifts in growth trajectories may be imminent or already occurring.</p><p>Importantly, the geographic and bioclimatic space (or “niche”) occupied by a tree species is not only constrained by climate, but often reflects biotic pressure such as competition for resources with other species. This aspect is underrepresented in many species distribution models that define the niche as a climatic envelope, which is then allowed to shift in response to changes in ambient conditions. Hence, distinguishing climatic from competitive niche boundaries becomes a central challenge to identifying areas where tree species are most susceptible to climate change.</p><p>Here we employ a novel concept to characterize each position within a species’ bioclimatic niche based on two criteria: a climate sensitivity index (CSI) and a habitat suitability index (HSI). The CSI is derived from step-wise multiple linear regression models that explain variability in annual radial tree growth as a function of monthly climate anomalies. The HSI is based on an ensemble of five species distribution models calculated from a combination of observed species occurrences and twenty-five bioclimatic variables. We calculated these two indices for 11 major tree species across the Northern Hemisphere.</p><p>The combination of climate sensitivity and habitat suitability indicated hotspots of change, where tree growth is mainly limited by competition (low HSI and low CSI), as well as areas that are particularly sensitive to climate variability (low HSI and high CSI). In the former, we expect that forest management geared towards adjusting the competitive balance between several candidate species will be most effective under changing environmental conditions. In the latter areas, selecting particularly drought-tolerant accessions of a given species may reduce forest susceptibility to the predicted warming and drying.</p>


2020 ◽  
Vol 26 (10) ◽  
pp. 5492-5508
Author(s):  
Michael T. LeMoine ◽  
Lisa A. Eby ◽  
Chris G. Clancy ◽  
Leslie G. Nyce ◽  
Michael J. Jakober ◽  
...  

2018 ◽  
Author(s):  
Stephen Handler ◽  
Carrie Pike ◽  
Brad St. Clair ◽  
Hannah Abbotts ◽  
Maria Janowiak

Evidence suggests that species have responded individually during historic periods of dramatic climate change through geographic migrations to and from unique glacial refugia [1, 2, 3]. Recent research has demonstrated that many tree species are already undergoing distribution shifts in response to climate change, with different studies highlighting species that are moving poleward and higher in elevation [4], or moving east-west to track changes in moisture availability [5].


Author(s):  
Roberta Rossi ◽  
Paolo Savoldelli ◽  
Roberto Sindaco

Climate change affects species and biological systems in several ways and is documented to be responsible of species distribution shifts. Odonata are reported to respond quickly to climate change, and in last years several Mediterranean species have expanded their range northwards in Europe. In this note, we report the first records of reproductive populations of Calopteryx haemorrhoidalis in Piedmont (NW Italy), suggesting a northwards latitudinal shift of the range of the species in Italy. The reports of Mediterranean dragonflies and damselflies that in the last years have been recorded for the first time in Piedmont are also outlined.


2021 ◽  
pp. 1-31
Author(s):  
Jorge L. Renteria ◽  
Gina M. Skurka Darin ◽  
Edwin D. Grosholz

Abstract Using Species Distribution Models (SDMs), we predicted the distribution of 170 plant species under different climate scenarios (current and future climatic conditions) and used this information to create invasion risk maps to identify potential hotspots of invasion in California. Using species’ predicted area in combination with some biological traits associated with invasiveness (growth form, reproduction mechanisms and age of maturity), the risk of invasion by individual species was also assesed. A higher number of species would find suitable climatic conditions along the coast; the Central Western (CW) and South Western (SW) were ecoregions where a higher number of species was predicted. Overall, hotspots of species distribution were similar under current and future climatic conditions; however, individual species’ predicted area (increase or decrease) was variable depending on the climate change scenario and the greenhouse gas emission. Out of the 170 species assessed, 22% ranked as high-risk species, with herbs, grasses and vines accounting for 78% within this risk class and a high proportion (67%) of Asteraceae species ranked as high risk. This study suggests that current climatic conditions of the central and south coastal regions of California would be considered as hotspots of new invasions, and for some species this risk might increase with hotter and drier future climatic conditions.


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