TY - JOUR A1 - Raabova, Jana A1 - Muenzbergova, Zuzana A1 - Fischer, Markus T1 - The role of spatial scale and soil for local adaptation in Inula hirta JF - Basic and applied ecology : Journal of the Gesellschaft für Ökologie N2 - Many plant populations are adapted to their local environment. Reciprocal transplant experiments in the field and in the experimental garden allow for studying different aspects of local adaptation. However, usually only one of these approaches is used. We applied both experimental approaches to study the role of spatial scale and soil conditions for local adaptation in the perennial herb Inula hirta. We reciprocally sowed seeds and transplanted juvenile plants among six field sites from two regions and, in the garden, among pots with soil from each field site. We recorded germination percentage, survival percentage, number of stems and plant height in all experiments. We also recorded above- and below-ground biomass, flowering percentage and the number of flower heads in the garden. No population-specific local adaptation was detected in germination, survival, flowering percentages or in the number of flower heads. At the regional scale in the field, however, the performance of local transplants was higher than the performance of foreign transplants by 10% and 7% in the two regions, respectively. Similarly, when grown in the garden in soil from the more basic and nutrient-poorer region, plant height and aboveground biomass of local transplants were higher than the corresponding values for foreign transplants by 31% and 112%, respectively. Congruent evidence for local adaptation from the juvenile-transplant experiments in field and garden suggests that soil conditions represent an important factor of local adaptation in I. hirta. Overall, our results show that both spatial scale and soil conditions play an important role for local adaptation in I. hirta. Moreover, we underline the importance of combining field and garden experiments to reveal factors affecting local adaptation in plants. KW - Dry grasslands KW - Fitness components KW - Genotype by environment KW - Habitat fragmentation KW - Home-site advantage KW - Natural selection KW - Plant traits KW - Reciprocal transplant Y1 - 2011 U6 - https://doi.org/10.1016/j.baae.2011.01.001 SN - 1439-1791 VL - 12 IS - 2 SP - 152 EP - 160 PB - Elsevier CY - Jena ER - TY - JOUR A1 - Giladi, Itamar A1 - Ziv, Yaron A1 - May, Felix A1 - Jeltsch, Florian T1 - Scale-dependent determinants of plant species richness in a semi-arid fragmented agro-ecosystem JF - Journal of vegetation science N2 - Aims: (1) Understanding how the relationship between species richness and its determinants depends on the interaction between scales at which the response and explanatory variables are measured. (2) Quantifying the relative contributions of local, intermediate and large-scale determinants of species richness in a fragmented agro-ecosystem. (3) Testing the hypothesis that the relative contribution of these determinants varies with the grain size at which species richness is measured. Location: A fragmented agro-ecosystem in the Southern Judea Lowland, Israel, within a desert-Mediterranean transition zone. Methods: Plant species richness was estimated using hierarchical nested sampling in 81 plots, positioned in 38 natural vegetation patches within an agricultural matrix (mainly wheat fields) among three land units along a sharp precipitation gradient. Explanatory variables included position along that gradient, patch area, patch isolation, habitat heterogeneity and overall plant density. We used general linear models and hierarchical partitioning of variance to test and quantify the effect of each explanatory variable on species richness at four grain sizes (0.0625, 1, 25 and 225m(2)). Results: Species richness was mainly affected by position along a precipitation gradient and overall plant density, and to a lesser extent by habitat heterogeneity. It was also significantly affected by patch area and patch isolation, but only for small grain sizes. The contribution of each explanatory variable to explained variance in species richness varied with grain size, i.e. scale-dependent. The influence of geographic position and habitat heterogeneity on species richness increased with grain size, while the influence of plant density decreased with grain size. Main conclusions: Species richness is determined by the combined effect of several scale-dependent determinants. Ability to detect an effect and effect size of each determinant varies with the scale (grain size) at which it is measured. The combination of a multi-factorial approach and multi-scale sampling reveals that conclusions drawn from studies that ignore these dimensions are restricted and potentially misleading. KW - Habitat fragmentation KW - Hierarchical partitioning of variance KW - Multi-grain sampling KW - Scale-dependence KW - Species density KW - Uniform sampling Y1 - 2011 U6 - https://doi.org/10.1111/j.1654-1103.2011.01309.x SN - 1100-9233 VL - 22 IS - 6 SP - 983 EP - 996 PB - Wiley-Blackwell CY - Malden ER - TY - JOUR A1 - Jeltsch, Florian A1 - Moloney, Kirk A. A1 - Schwager, Monika A1 - Körner, Katrin A1 - Blaum, Niels T1 - Consequences of correlations between habitat modifications and negative impact of climate change for regional species survival JF - Agriculture, ecosystems & environment : an international journal for scientific research on the relationship of agriculture and food production to the biosphere N2 - While several empirical and theoretical studies have clearly shown the negative effects of climate or landscape changes on population and species survival only few of them addressed combined and correlated consequences of these key environmental drivers. This also includes positive landscape changes such as active habitat management and restoration to buffer the negative effects of deteriorating climatic conditions. In this study, we apply a conceptual spatial modelling approach based on functional types to explore the effects of both positive and negative correlations between changes in habitat and climate conditions on the survival of spatially structured populations. We test the effect of different climate and landscape change scenarios on four different functional types that represent a broad spectrum of species characterised by their landscape level carrying capacity, the local population turnover rates at the patch level (K-strategies vs. r-strategies) and dispersal characterstics. As expected, simulation results show that correlated landscape and climatic changes can accelerate (in case of habitat loss or degradation) or slow down (in case of habitat gain or improvement) regional species extinction. However, the strength of the combined changes depends on local turnover at the patch level, the overall landscape capacity of the species, and its specific dispersal characteristics. Under all scenarios of correlated changes in habitat and climate conditions we found the highest sensitivity for functional types representing species with a low landscape capacity but a high population growth rate and a strong density regulation causing a high turnover at the local patch level. The relative importance of habitat loss or habitat degradation, in combination with climate deterioration, differed among the functional types. However, an increase in regional capacity revealed a similar response pattern: For all types, habitat improvement led to higher survival times than habitat gain, i.e. the establishment of new habitat patches. This suggests that improving local habitat quality at a regional scale is a more promising conservation strategy under climate change than implementing new habitat patches. This conceptual modelling study provides a general framework to better understand and support the management of populations prone to complex environmental changes. KW - Functional types KW - Spatially explicit modelling KW - Dynamic landscapes KW - Species conservation KW - Habitat fragmentation KW - Habitat management Y1 - 2011 U6 - https://doi.org/10.1016/j.agee.2010.12.019 SN - 0167-8809 VL - 145 IS - 1 SP - 49 EP - 58 PB - Elsevier CY - Amsterdam ER -