5️⃣ Influence of observed species?
As more species were added, elevational richness became more distinctly unimodal, converging toward the MDE predictions.
This effect also varies with extent and position of elevational gradients.
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5️⃣ Influence of observed species?
As more species were added, elevational richness became more distinctly unimodal, converging toward the MDE predictions.
This effect also varies with extent and position of elevational gradients.
2️⃣ We compiled the elevational ranges of >1100 vascular plant species from three #ProtectedAreas — Morni Hills, Chail WLS, and Churdhar WLS. This contributes to knowledge gap for the #WesternHimalayas.
3️⃣ What did we find?
While species richness often showed complex non-linear unimodal (hump-shaped) patterns, simple linear decreasing pattern was also observed.
Patterns vary with extent and position of #ElevationalGradients !
4️⃣ Is this just a random geometric effect?
We tested the Mid-Domain Effect (MDE) null model and found substantial deviations from its predictions.
This means plant distribution in the Himalayas is NOT a simple game of chance!
5️⃣ Influence of observed species?
As more species were added, elevational richness became more distinctly unimodal, converging toward the MDE predictions.
This effect also varies with extent and position of elevational gradients.
6️⃣ Conservation Takeaway
🔑 Mid-elevational zones for conservation priorities, where #SpeciesRichness is greatest.
🧭 Read the full #OpenAccess article for the detailed analyses:
🔗 https://www.mdpi.com/1999-4907/16/10/1591
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