Influences of plant species on life history traits of Cotesia rubecula (Hymenoptera: Braconidae) and its host Pieris rapae (Lepidotera: Pieridae)

2009 ◽  
Vol 51 (1) ◽  
pp. 72-75 ◽  
Author(s):  
Roya Talaei
2020 ◽  
Vol 117 (7) ◽  
pp. 3663-3669 ◽  
Author(s):  
Jörn Pagel ◽  
Martina Treurnicht ◽  
William J. Bond ◽  
Tineke Kraaij ◽  
Henning Nottebrock ◽  
...  

The ecological niche of a species describes the variation in population growth rates along environmental gradients that drives geographic range dynamics. Niches are thus central for understanding and forecasting species’ geographic distributions. However, theory predicts that migration limitation, source–sink dynamics, and time-lagged local extinction can cause mismatches between niches and geographic distributions. It is still unclear how relevant these niche–distribution mismatches are for biodiversity dynamics and how they depend on species life-history traits. This is mainly due to a lack of the comprehensive, range-wide demographic data needed to directly infer ecological niches for multiple species. Here we quantify niches from extensive demographic measurements along environmental gradients across the geographic ranges of 26 plant species (Proteaceae; South Africa). We then test whether life history explains variation in species’ niches and niche–distribution mismatches. Niches are generally wider for species with high seed dispersal or persistence abilities. Life-history traits also explain the considerable interspecific variation in niche–distribution mismatches: poorer dispersers are absent from larger parts of their potential geographic ranges, whereas species with higher persistence ability more frequently occupy environments outside their ecological niche. Our study thus identifies major demographic and functional determinants of species’ niches and geographic distributions. It highlights that the inference of ecological niches from geographical distributions is most problematic for poorly dispersed and highly persistent species. We conclude that the direct quantification of ecological niches from demographic responses to environmental variation is a crucial step toward a better predictive understanding of biodiversity dynamics under environmental change.


Ecology ◽  
2019 ◽  
Vol 100 (10) ◽  
Author(s):  
Bradley J. Butterfield ◽  
Camille A. Holmgren ◽  
R. Scott Anderson ◽  
Julio L. Betancourt

Plant Ecology ◽  
2014 ◽  
Vol 215 (6) ◽  
pp. 597-612 ◽  
Author(s):  
Takeshi Osawa ◽  
Hiromune Mitsuhashi ◽  
Atushi Ushimaru

Ecosphere ◽  
2017 ◽  
Vol 8 (12) ◽  
pp. e02016 ◽  
Author(s):  
Tiffanny R. Sharp Bowman ◽  
Brock R. McMillan ◽  
Samuel B. St. Clair

PLoS ONE ◽  
2010 ◽  
Vol 5 (8) ◽  
pp. e12053 ◽  
Author(s):  
Jana S. Petermann ◽  
Christine B. Müller ◽  
Christiane Roscher ◽  
Alexandra Weigelt ◽  
Wolfgang W. Weisser ◽  
...  

2019 ◽  
Vol 67 (3) ◽  
pp. 218
Author(s):  
Melissa A. Millar ◽  
David J. Coates ◽  
Margaret Byrne ◽  
J. Dale Roberts

An increasingly important practical application of the analysis of spatial genetic structure and life history traits of plant species is to aid the design of seed sourcing scenarios that provide for long-term successful restoration. Despite this, there are few practical recommendations on how to use empirical knowledge of genetic structure and life history traits to design appropriate seed sourcing regimes and planting designs. We identified potential divergent lineages within species as an important first step in determining appropriate areas in which to source seeds. We then used a modelling approach for restoration based on patterns of genetic structure and life history traits that affect demography, dispersal and gene flow to inform the impact of number and spatial positioning of founder individuals, as well as different seed sourcing scenarios, on population growth and the initial capture and long-term maintenance of genetic diversity for restored populations. The approach is illustrated using datasets for four perennial plant species associated with the Banded Iron Formations of the semiarid midwest region of Western Australia. The approach can be tailored to any restoration site and applied to a range of species with differing patterns of genetic structure and differing life history traits.


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