Campbell Biologie Francais Pdf File Full Chapters Through

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Campbell Biologie Francais Pdf File Full Chapters Through

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At a spatial resolution of administrative departments (ca. 5800 km), the results 43 show that intensive farming is positively correlated with higher T emporal V ariation in 44 Pollination Services but is not significantly associated with the Pollination Services Index, 45 probably due to multicollinearity issues.

Francesco Accatino Francesco Accatino This person is not on ResearchGate, or hasnt claimed this research yet.

Emmanuelle Porcher Emmanuelle Porcher This person is not on ResearchGate, or hasnt claimed this research yet.

Download full-text PDF Read full-text Download full-text PDF Read full-text Download citation Copy link Link copied Read full-text Download citation Copy link Link copied References (68) Abstract Local studies indicate that animal pollination is essential for crop productivity, but its effectiveness and temporal stability vary broadly across regions.

However, there is no simple and rapid method to assess the pollination services over large areas.

Here, we introduce two new indices to measure pollination services and its temporal stability in farmland, the Pollination Services Index and the index of Temporal Variation in Pollination Services, that only require readily available data, namely crop yield and crop pollinator dependence.

The philosophy of these indices is to compare at a given site the standardized yield, or the temporal variation in yield, among crops that have different levels of dependence on animal pollinators for their production.

We expect that where there is a shortage of pollinators, standardized crop yields should decrease, and temporal variation in crop yields should increase, with increasing dependence on pollinators.

The Pollination Services Index in a given area is thus defined as the slope of the linear regression between standardized crop yield and crop pollinator dependence; the Temporal Variation in Pollination Services is defined as the slope of the linear regression between the inter-annual coefficient of variation of crop yield and crop pollinator dependence.

We calculated these two indices in France, where we show extensive spatial variation in the estimated pollination services.

We further show that this variation in the Pollination Services Index is negatively correlated with the index of Temporal Variation in Pollination Services, and positively correlated with habitat quality for pollinators.

Temporal Variation in Pollination Services but is not significantly associated with the Pollination Services Index, probably due to multicollinearity issues.

Despite some limitations that deserve further attention, these indices may constitute promising, cost-effective tools to highlight regions of pollination deficit over large areas.

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The documents may come from teaching and research institutions in F rance or abroad, or from public or private research cen ters.

New indices for rapid as- sessment of pollination services based on crop yield data: F rance as a case study.

Ecological Indicators, Elsevier, 2019, 101, pp.355-363.

Howev er, there is no simple 26 and rapid method to assess the pollination services over large areas.

Here, we introduce two 27 new indices to measure pollination services and its temporal s tability in farmland, the 28 Pollination Services Index and the index of T emporal V ariation in Pollination Services, that 29 only require readily av ailable data, namely crop yield and crop pollinator dependence.

The 30 philosophy of these indices is to compare at a given site the standar dized yield, or the 31 temporal variation in yiel d, among crops that hav e different levels of dependence on animal 32 pollinators for their pr oduction.

W e expect that where there is a shortage of pollinators, 33 standardized cr op yields should decrease, and temporal variation in crop yields should 34 increase, with increasing dependence on pollinator s.

We calcula ted these two indices in France, where we 39 show extensive spatial v ariation in the estimated pollination services.

We further show that 40 this variation in the Pollination Services Index is neg atively correlated with the index of 41 T emporal Variation in P ollination Services, and positively correlated with habitat quality for 42 pollinators.

T emporal V ariation in 44 Pollination Services but is not significantly associated with the Pollination Services Index, 45 probably due to multicollinearity issues.