Reliability of Different Mark-Recapture Methods for Population Size Estimation Tested against Reference Population Sizes Constructed from Field Data

Reliable estimates of population size are fundamental in many ecological studies and biodiversity conservation. Selecting appropriate methods to estimate abundance is often very difficult, especially if data are scarce. Most studies concerning the reliability of different estimators used simulation data based on assumptions about capture variability that do not necessarily reflect conditions in natural populations. Here, we used data from an intensively studied closed population of the arboreal gecko Gehyra variegata to construct reference population sizes for assessing twelve different population size estimators in terms of bias, precision, accuracy, and their 95%-confidence intervals. Two of the reference populations reflect natural biological entities, whereas the other reference populations reflect artificial subsets of the population. Since individual heterogeneity was assumed, we tested modifications of the Lincoln-Petersen estimator, a set of models in programs MARK and CARE-2, and a truncated geometric distribution. Ranking of methods was similar across criteria. Models accounting for individual heterogeneity performed best in all assessment criteria. For populations from heterogeneous habitats without obvious covariates explaining individual heterogeneity, we recommend using the moment estimator or the interpolated jackknife estimator (both implemented in CAPTURE/MARK). If data for capture frequencies are substantial, we recommend the sample coverage or the estimating equation (both models implemented in CARE-2). Depending on the distribution of catchabilities, our proposed multiple Lincoln-Petersen and a truncated geometric distribution obtained comparably good results. The former usually resulted in a minimum population size and the latter can be recommended when there is a long tail of low capture probabilities. Models with covariates and mixture models performed poorly. Our approach identified suitable methods and extended options to evaluate the performance of mark-recapture population size estimators under field conditions, which is essential for selecting an appropriate method and obtaining reliable results in ecology and conservation biology, and thus for sound management

Vorwort

Den dreißigsten Jahrestag der Gründung des Biosphärenreservates Mittelelbe nehmen das Land Sachsen-Anhalt als Herausgeber der Schriftenreihe und die Vielzahl der Autoren zum Anlass, um in gebührender Form eine geschlossene Darstellung von Forschungsaktivitäten einer naturschutz- und elbeinteressierten Öffentlichkeit vorzustellen

Can Genetic Estimators Provide Robust Estimates of the Effective Number of Breeders in Small Populations?

The effective population size (N(e)) is proportional to the loss of genetic diversity and the rate of inbreeding, and its accurate estimation is crucial for the monitoring of small populations. Here, we integrate temporal studies of the gecko Oedura reticulata, to compare genetic and demographic estimators of N(e). Because geckos have overlapping generations, our goal was to demographically estimate N(bI), the inbreeding effective number of breeders and to calculate the N(bI)/N(a) ratio (N(a) =number of adults) for four populations. Demographically estimated N(bI) ranged from 1 to 65 individuals. The mean reduction in the effective number of breeders relative to census size (N(bI)/N(a)) was 0.1 to 1.1. We identified the variance in reproductive success as the most important variable contributing to reduction of this ratio. We used four methods to estimate the genetic based inbreeding effective number of breeders N(bI(gen)) and the variance effective populations size N(eV(gen)) estimates from the genotype data. Two of these methods - a temporal moment-based (MBT) and a likelihood-based approach (TM3) require at least two samples in time, while the other two were single-sample estimators - the linkage disequilibrium method with bias correction LDNe and the program ONeSAMP. The genetic based estimates were fairly similar across methods and also similar to the demographic estimates excluding those estimates, in which upper confidence interval boundaries were uninformative. For example, LDNe and ONeSAMP estimates ranged from 14-55 and 24-48 individuals, respectively. However, temporal methods suffered from a large variation in confidence intervals and concerns about the prior information. We conclude that the single-sample estimators are an acceptable short-cut to estimate N(bI) for species such as geckos and will be of great importance for the monitoring of species in fragmented landscapes

Morphological shifts in populations of generalist and specialist amphibians in response to fragmentation of the brazilian Atlantic forest

Volume: 13Start Page: 47End Page: 5

Mollusken im Auengrünland des Biosphärenreservates Mittelelbe vor und nach dem extremen Sommerhochwasser 2002

Hochwasserereignisse sind von besonderer Bedeutung, da sie die Auenlandschaft räumlich und zeitlich strukturieren und so eine große Vielfalt an Habitaten schaffen. Mollusken sind von großem Artenreichtum, der in den mitteleuropäischen Flussauen am höchsten ist. Sie sind relativ leicht zu determinieren und besitzen zudem eine geringe Mobilität und dementsprechend kleine Minimalareale. Darüber hinaus sind Ökologie und Habitatansprüche der meisten Arten gut bekannt. Dadurch eignen sich Mollusken sehr gut zur ökologischen Charakterisierung (Indikation) und zur naturschutzfachlichen Bewertung von Auenökosystemen. Obwohl in zahlreichen Studien bereits Molluskenzönosen in Auen beschrieben wurden, ist über die Reaktion von Mollusken auf Hochwasser, insbesondere Extremhochwasser, wenig bekannt, zumal kaum Daten vorliegen, die den Zustand vor und nach einem Extremereignis beschreiben. In diesem Beitrag werden die kurz- und mittelfristigen Auswirkungen des Sommerhochwassers 2002 auf Molluskengemeinschaften im Auengrünland der Mittleren Elbe beschrieben

Molluskengemeinschaften im Deichrückverlegungsgebiet Roßlauer Oberluch im Biosphärenreservat Mittelelbe

Mollusken eignen sich aufgrund ihrer spezifischen Eigenschaften sehr gut zur ökologischen Charakterisierung, naturschutzfachlichen Bewertung und Beweissicherung bei bevorstehenden Veränderungen innerhalb ihrer Lebensräume. Durch ihre geringe aktive Mobilität sind sie sehr stark an ihren Lebensraum gebunden. Ihre Biologie, Ökologie und Habitatansprüche sind gut bekannt. Gerade in Flussauen erreichen Mollusken sehr hohe Arten- und je nach standörtlichen Verhältnissen sehr hohe Individuenzahlen. Im Herbst 2006 sowie im Frühjahr und Herbst 2007 wurden Molluskenproben auf den Wiesen im Roßlauer Oberluch und auf zwei Referenzstandorten in der Kliekener Altaue entnommen mit dem Ziel, den Status Quo vor der Deichöffnung festzuhalten und die Entwicklung dieser Artengruppe nach der Deichrückverlegungsmaßnahme zu analysieren. Bislang liegen die Status-Quo-Ergebnisse der Herbst- und Frühjahrsaufsammlungen aus den Jahren 2006 und 2007 vor

Setting temporal baselines for biodiversity : the limits of available monitoring data for capturing the full impact of anthropogenic pressures

Temporal baselines are needed for biodiversity, in order for the change in biodiversity to be measured over time, the targets for biodiversity conservation to be defined and conservation progress to be evaluated. Limited biodiversity information is widely recognized as a major barrier for identifying temporal baselines, although a comprehensive quantitative assessment of this is lacking. Here, we report on the temporal baselines that could be drawn from biodiversity monitoring schemes in Europe and compare those with the rise of important anthropogenic pressures. Most biodiversity monitoring schemes were initiated late in the 20th century, well after anthropogenic pressures had already reached half of their current magnitude. Setting temporal baselines from biodiversity monitoring data would therefore underestimate the full range of impacts of major anthropogenic pressures. In addition, biases among taxa and organization levels provide a truncated picture of biodiversity over time. These limitations need to be explicitly acknowledged when designing management strategies and policies as they seriously constrain our ability to identify relevant conservation targets aimed at restoring or reversing biodiversity losses. We discuss the need for additional research efforts beyond standard biodiversity monitoring to reconstruct the impacts of major anthropogenic pressures and to identify meaningful temporal baselines for biodiversity

Auswirkungen des Elbehochwassers 2002 auf ausgewählte Artengruppen : eine Einführung in das Projekt HABEX

Die Auswirkungen extremer Wetterereignisse auf die Biodiversität sind bisher nur unzureichend bekannt. In den letzten Jahren steigen daher die Bemühungen, Effekte solcher Ereignisse auf Arten und Ökosysteme zu quantifizieren und Schutzstrategien zu entwickeln. Das vom BMBF geförderte Verbundprojekt RIVA – Robustes Indikationssystem für ökologische Veränderungen in Auen (Scholz et al. 2001, 2009, Dziock et al. 2006) stellte eine hervorragende Grundlage für Untersuchungen der ökologischen Auswirkungen nach den extremen Hochwasserereignissen im Sommer 2002 und im Winter 2002/2003 sowie der folgenden extremen Trockenheit im Sommer 2003 dar. Für die Artengruppen Laufkäfer, Mollusken und Pflanzen bestand deshalb im Rahmen des hier vorgestellten HABEX-Projektes (AuenHABitate nach EXtremhochwasserereignissen am Beispiel der Mittleren Elbe) die einmalige Gelegenheit, die Auswirkungen dieses in Zeitpunkt und Intensität ungewöhnlichen Hochwassers auf denselben Probeflächen durch einen Zustandsvergleich der Jahre vor der Flut (1998/99) und danach (2003-2006) zu untersuchen

"Mind the gap!":How well does Natura 2000 cover species of European interest?

Volume: 3Start Page: 45End Page: 6

Floodplain management in temperate regions : is multifunctionality enhancing biodiversity?

Background: Floodplains are among the most diverse, dynamic, productive and populated but also the most threatened ecosystems on Earth. Threats are mainly related to human activities that alter the landscape and disrupt fluvial processes to obtain benefits related to multiple ecosystem services (ESS). Floodplain management therefore requires close coordination among interest groups with competing claims and poses multi-dimensional challenges to policy-makers and project managers. The European Commission proposed in its recent Biodiversity Strategy to maintain and enhance European ecosystems and their services by establishing green infrastructure (GI). GI is assumed to provide multiple ecosystem functions and services including the conservation of biodiversity in the same spatial area. However, evidence for biodiversity benefits of multifunctional floodplain management is scattered and has not been synthesised. Methods/design: This protocol specifies the methods for conducting a systematic review to answer the following policy-relevant questions: a) what is the impact of floodplain management measures on biodiversity; b) how does the impact vary according to the level of multifunctionality of the measures; c) is there a difference in the biodiversity impact of floodplain management across taxa; d) what is the effect of the time since implementation on the impact of the most important measures; and e) are there any other factors that significantly modify the biodiversity impact of floodplain management measures? Within this systematic review we will assess multifunctionality in terms of ESS that are affected by an implemented intervention. Biodiversity indicators included in this systematic review will be related to the diversity, richness and abundance of species, other taxa or functional groups. We will consider if organisms are typical for and native to natural floodplain ecosystems. Specific inclusion criteria have been developed and the wide range of quality of primary literature will be evaluated with a tailor-made system for assessing susceptibility to bias and the reliability of the studies. The review is intended to bridge the science-policy interface and will provide a useful synthesis of knowledge for decision-makers at all governance levels