Koen Thijs

The influence of an invasive plant species on the pollination success and reproductive output of three riparian plant species

Besides competition for abiotic resources, an increasing number of studies show evidence of the effects of invasive species on the pollination success and reproductive output of indigenous species. We studied the effect of the invasive Impatiens glandulifera Royle on the process of reproduction in the indigenous Lythrum salicaria L. and Alisma plantago-aquatica L. and the naturalized Oenothera biennis L. The latter three species (target species) were transplanted into pots and placed in invaded and non-invaded areas. During flowering season of each of these species, we measured species composition and abundance of pollinators, pollinator behaviour, pollen deposition and female reproductive output of the target species. Competitive effects were found for L. salicaria, in which fewer pollinator species and number of foraging individuals were observed, and also, lower pollen deposition and seed set were measured in these invaded populations. In contrast, the reproductive success of A. plantago-aquatica and O. biennis was not affected by the presence of I. glandulifera. Our data indicate that when invasive and indigenous species show a large overlap in pollinator community, which is the case for I. glandulifera and L. salicaria, competition between these species can occur. When both species have a different pollinator community, pollination success and reproductive output is not affected, even when the indigenous populations are densely and abundantly invaded.

Season-dependence of remote sensing indicators of tree species diversity

During recent years, many studies have been undertaken to investigate how spectral characteristics of forests can provide information on spatial patterns of tree species diversity (TSD). Important advances have been made, and significant relationships between TSD and remotely sensed indicators of net primary productivity and environmental heterogeneity have been reported. However, the season-dependence of these relationships has not yet been fully investigated, and the influence of phenology remains poorly understood. In this study, we aim to assess how the relationships between remote sensing indicators and TSD depend on the season of the year. TSD measures, including species richness, Shannon’s diversity and Simpson’s diversity, were determined for 82 field plots in the Afromontane cloud forests of Taita Hills, Kenya. A time series of 15 Landsat images were used to calculate a set of spectral and heterogeneity metrics. The relationship between remote-sensing metrics and TSD measures was analysed by simple and multivariate regression analysis. We conclude that the relationships between remote-sensing metrics and TSD are season-dependent. Hence, it is demonstrated the date of image acquisition is an important aspect to be considered in biodiversity studies. Given that the dependence of the relationships is closely linked to climate seasonality defining vegetation phenology, the relationships may also vary according to geographical conditions.

Field guide to the woody plants of Taita hills, Kenya

ABSTRACT This field guide represents a comprehensive treatment of the 184 woody plant species occurring in the Afromontane cloud forests of Taita Hills, Kenya. The first part contains an introduction to the Taita Hills and Eastern Arc Mountains, a list with endemic plant species, the multiple benefits the forests provide, additional references and a manual to use this guide. The second part contains identification keys that allow the reader to find the correct scientific name based on easy observable leaf characters rather than on more complex flower structures. The third part contains species fact sheets. These sheets are arranged alphabetically by their scientific names and include local vernacular names, diagnostic characteristics, (traditional) uses, photographs and illustrations. The last part contains a glossary of botanical terms and a species index.