Biodiversity dynamics in landscapes with fluctuating connectivity

Author:

Marco Palamara Gian1ORCID,Rozenfeld Alejandro2ORCID,de Santana Charles N.134ORCID,Klecka Jan15ORCID,Riera Rodrigo67ORCID,Eguíluz Victor M.4ORCID,Melián Carlos J.148ORCID

Affiliation:

1. Dept of Fish Ecology and Evolution, Eawag Centre of Ecology, Evolution and Biogeochemistry Switzerland

2. CONICET‐CIFICEN‐INTELYMEC, Univ. of the Center of Buenos Aires Buenos Aires Argentina

3. Programa de Pós‐Graduação em Ciências da Terra e do Ambiente, Univ. Estadual de Feira de Santana Bahia Brasil

4. Inst. de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC‐UIB) Palma de Mallorca Spain

5. Inst. of Entomology, Biology Centre of the Czech Academy of Sciences České Budějovice Czech Republic

6. IU‐ECOAQUA, Group of Biodiversity and Conservation (BIOCON), Univ. de Las Palmas de Gran Canaria Las Palmas de Gran Canaria Spain

7. Depto de Ecología, Facultad de Ciencias, Univ. Católica de la Santísima Concepción Concepción Chile

8. Inst. of Ecology and Evolution, Aquatic Ecology, Univ. of Bern Bern Switzerland

Abstract

Biodiversity can increase in both high‐ and low‐connected landscapes. However, we lack predictions related to biodiversity dynamics when accounting for the temporal heterogeneity in the connections among the habitats of a landscape. Here, we study the relationship between fluctuations in landscape connectivity and biodiversity dynamics at local and regional scales. We contrast predictions about species richness between landscapes with and without fluctuations in connectivity. Our results show that local (α) and regional (γ) richness can increase together in dynamic landscapes characterized by periodic connectivity, clarifying empirical findings of high biodiversity in both low and high‐connected landscapes. Our results also suggest that fluctuations in connectivity increase the overall number of species coexisting in dynamic landscapes when compared with static landscapes with no fluctuations in connectivity. Extending metacommunity theory, by including fluctuations in landscape connectivity, can thus provide new testable predictions about species diversity across broad spatiotemporal scales in rapidly changing landscapes.

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

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