Continental estimates of forest cover and forest cover changes in the dry ecosystems of Africa between 1990 and 2000

Aim

This study provides regional estimates of forest cover in dry African ecoregions and the changes in forest cover that occurred there between 1990 and 2000, using a systematic sample of medium‐resolution satellite imagery which was processed consistently across the continent.

Location

The study area corresponds to the dry forests and woodlands of Africa between the humid forests and the semi‐arid regions. This area covers the Sudanian and Zambezian ecoregions.

Methods

A systematic sample of 1600 Landsat satellite imagery subsets, each 20 km × 20 km in size, were analysed for two reference years: 1990 and 2000. At each sample site and for both years, dense tree cover, open tree cover, other wooded land and other vegetation cover were identified from the analysis of satellite imagery, which comprised multidate segmentation and automatic classification steps followed by visual control by national forestry experts.

Results

Land cover and land‐cover changes were estimated at continental and ecoregion scales and compared with existing pan‐continental, regional and local studies. The overall accuracy of our land‐cover maps was estimated at 87%. Between 1990 and 2000, 3.3 million hectares (Mha) of dense tree cover, 5.8 Mha of open tree cover and 8.9 Mha of other wooded land were lost, with a further 3.9 Mha degraded from dense to open tree cover. These results are substantially lower than the 34 Mha of forest loss reported in the FAO's 2010 Global Forest Resources Assessment for the same period and area.

Main conclusions

Our method generates the first consistent and robust estimates of forest cover and change in dry Africa with known statistical precision at continental and ecoregion scales. These results reduce the uncertainty regarding vegetation cover and its dynamics in these previously poorly studied ecosystems and provide crucial information for both science and environmental policies.     

Evidence and hypothesis in biogeography

Evidence can provide support for or against a particular biogeographical hypothesis. Treating a hypothesis as if it were evidence or an empirical observation confounds many biogeographical analyses. We focus on two recent publications that address, in part, the evolution of the biota of Sulawesi, the large Indonesian island in the centre of the Indo‐Australian Archipelago. Many biogeographical explanations are hampered by invoking simple notions of mechanism or process – dispersal and vicariance – or constraints, such as dispersal from a centre of origin, and, in so doing, dismiss more complex geological phenomena such as emergent volcanoes within island chains or composite areas as irrelevant. Moreover, they do not search for, therefore never discover, biogeographical patterns that may better explain the distribution of biota through time.     

Process,correlation and parameter fitting in species distribution models: a response to Kriticos et al

In a recent article (Dormann et al., 2012, Journal of Biogeography, 39, 2119–2131), we compared different approaches to species distribution modelling and depicted modelling approaches along an axis from purely ‘correlative’ to ‘forward process‐based’ models. In their correspondence, Kriticos et al. (2013, Journal of Biogeography, doi: 10.1111/j.1365‐2699.2012.02791.x ) challenge this view, claiming that our continuum representation neglects differences among models and does not consider the ability of fitted process‐based models to combine the advantages of both process‐based and correlative modelling approaches. Here we clarify that the continuum view resulted from recognition of the manifold differences between models. We also reinforce the point that the current trend towards combining different modelling approaches may lead not only to the desired combination of the advantages but also to the accumulation of the disadvantages of those approaches. This point has not been made sufficiently clear previously.     

Energy reserves of parasitoids depend on honeydew from non‐hosts

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Multiple effects of temperature,photoperiod and food quality on the performance of a pine sawfly

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An orb‐weaver spider eludes plant‐defending acacia ants by hiding in plain sight

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Dispersal and dormancy strategies among insect species competing for a pulsed resource

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Fungizide: Risiken der resistenzentwicklung und suche nach neuen targets

Trotz intensiver Bemühungen im Bereich des Pflanzenschutzes sind weltweit erhebliche Verluste im Bereich pflanzlicher Erntegüter zu verzeichnen. Rund ein Drittel der Verluste werden mikrobiellen Schaderregern, also Pilzen, Bakterien und Viren, zugeschrieben. Besonders schwierig ist der Tatsache zu begegnen, dass Pilze gegenüber spezifisch wirkenden Fungiziden Insensitivitäten bzw. Resistenzen entwickeln. Aus diesem Grunde muss über geeignete Strategien beim Fungizideinsatz, beim ‘Disease management’ und bei der Suche nach neuen, hochwirksamen Fungiziden nachgedacht werden. Der Erfolg bei der Suche nach neuen Fungiziden wird stark davon abhängen, ob neue Zielmoleküle für potentielle Fungizide entdeckt werden können. Dabei können moderne molekulargenetische Techniken von großem Nutzen sein.     

Aphids decelerate litter nitrogen mineralisation through changes in litter quality

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Ein bakterielles Kulturfiltrat mit antiphytoviraler Aktivität an Gurke/Gurkenmosaik-Virus (cucumber mosaic virus) und Tabak/Tabakmosaik-Virus (tobacco mosaic virus): (Kurze Mitteilung)

Es wurde die Intra‐ und Interpopulationsvariation untersucht, die durch Adaptationsreaktionen der Individuen (Klone) der Gemeinen Quecke (Elytrigia repens (L.) DESV.) am Versuchsort zum Ausdruck kommt. Die Klone stammten aus Populationen verschiedener Höhenlagen vom Territorium der östlichen Bundesländer Deutschlands. Die Ergebnisse zeigen, daß sich die Populationen in der Variabilität der Enzymaktivität (saure Phosphatase, Peroxidase, Polyphenoloxidase) sowie in der Variabilität der Isoenzymmuster (Peroxidase, Esterase) unterscheiden. Die höchste Variabilität der genannten Parameter wurde für Populationen nachgewiesen, die aus einer Höhenlage von ca. 400 m ü. NN stammten. Ausgehend von 400 m ü. NN nimmt die Variabilität in Richtung größerer und niedrigerer Höhenlagen von 400 m hin ab. Die Variabilitätsunterschiede, die unter gleichen Bedingungen nachgewiesen wurden, weisen auf die Existenz eines Zusammenhanges zwischen den typischen Adaptationsreaktionen von Populationen und der Gesamtheit der Selektionsfaktoren des natürlichen Milieus hin, von dem sie stammten. Es gibt einen Zusammenhang zwischen der nachgewiesenen Variabilität und der Überlebensrate nach einer Adaptationsdauer von fünf Jahren.