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Martin Diekmann

Researcher at University of Bremen

Publications -  152
Citations -  7441

Martin Diekmann is an academic researcher from University of Bremen. The author has contributed to research in topics: Species richness & Biodiversity. The author has an hindex of 44, co-authored 142 publications receiving 6410 citations. Previous affiliations of Martin Diekmann include Indian Ministry of Environment and Forests & Royal Institute of Technology.

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Species indicator values as an important tool in applied plant ecology – a review

TL;DR: In this paper, a review of the use of weighted site averages in indicator analysis is presented, showing that these have a high reliability and can complement or, in some cases, replace measurements to determine the values of environmental variables and monitor their change.
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Changes in species richness and composition in European acidic grasslands over the past 70 years: the contribution of cumulative atmospheric nitrogen deposition

TL;DR: In this paper, the negative impact of nitrogen (N) deposition on species richness in acidic grasslands was investigated based on a temporal comparison of vegetation data spanning a period of almost 70 years, in which a large data base of plots assigned to the Violion caninae grassland type, composed of managed, but unfertilized semi-natural grasslands on nutrient-poor, acidic soils.
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Latitudinal gradients as natural laboratories to infer species' responses to temperature

TL;DR: The synthesis indicates that many life-history traits of plants vary with latitude but the translation of latitudinal clines into responses to temperature is a crucial step, and integrated approaches of observational studies along temperature gradients, experimental methods and common garden experiments increasingly emerge as the way forward to further the authors' understanding of species and community responses to climate warming.
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Effects of life-history traits on responses of plant species to forest fragmentation

TL;DR: Approaches based on life-history traits potentially allow prediction of species' responses to habitat fragmentation and may therefore aid in the assessment of the endangerment of plant species and ultimately in the conservation of biological diversity.