Biodiversity, productivity, and the spatial insurance hypothesis revisited

David W. Shanafelt, Ulf Dieckmann, Matthias Jonas, Oskar Franklin, Michel Loreau, Charles Perrings

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Accelerating rates of biodiversity loss have led ecologists to explore the effects of species richness on ecosystem functioning and the flow of ecosystem services. One explanation of the relationship between biodiversity and ecosystem functioning lies in the spatial insurance hypothesis, which centers on the idea that productivity and stability increase with biodiversity in a temporally varying, spatially heterogeneous environment. However, there has been little work on the impact of dispersal where environmental risks are more or less spatially correlated, or where dispersal rates are variable. In this paper, we extend the original Loreau model to consider stochastic temporal variation in resource availability, which we refer to as "environmental risk", and heterogeneity in species dispersal rates. We find that asynchronies across communities and species provide community-level stabilizing effects on productivity, despite varying levels of species richness. Although intermediate dispersal rates play a role in mitigating risk, they are less effective in insuring productivity against global (metacommunity-level) than local (individual community-level) risks. These results are particularly interesting given the emergence of global sources of risk such as climate change or the closer integration of world markets. Our results offer deeper insights into the Loreau model and new perspectives on the effectiveness of spatial insurance in the face of environmental risks.

Original languageEnglish (US)
Pages (from-to)426-435
Number of pages10
JournalJournal of Theoretical Biology
Volume380
DOIs
StatePublished - Sep 7 2015

Fingerprint

Biodiversity
insurance
Insurance
Productivity
biodiversity
Ecosystem
Species Richness
Ecosystems
Varying Environment
species diversity
species dispersal
world markets
Heterogeneous Environment
ecosystems
Climate Change
ecologists
Climate change
ecosystem services
temporal variation
Availability

Keywords

  • Dispersal
  • Risk
  • Stability
  • Stochasticity

ASJC Scopus subject areas

  • Applied Mathematics
  • Statistics and Probability
  • Modeling and Simulation
  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Medicine(all)

Cite this

Biodiversity, productivity, and the spatial insurance hypothesis revisited. / Shanafelt, David W.; Dieckmann, Ulf; Jonas, Matthias; Franklin, Oskar; Loreau, Michel; Perrings, Charles.

In: Journal of Theoretical Biology, Vol. 380, 07.09.2015, p. 426-435.

Research output: Contribution to journalArticle

Shanafelt, David W. ; Dieckmann, Ulf ; Jonas, Matthias ; Franklin, Oskar ; Loreau, Michel ; Perrings, Charles. / Biodiversity, productivity, and the spatial insurance hypothesis revisited. In: Journal of Theoretical Biology. 2015 ; Vol. 380. pp. 426-435.
@article{193c14bcd23140d58cc7be0956db7b2f,
title = "Biodiversity, productivity, and the spatial insurance hypothesis revisited",
abstract = "Accelerating rates of biodiversity loss have led ecologists to explore the effects of species richness on ecosystem functioning and the flow of ecosystem services. One explanation of the relationship between biodiversity and ecosystem functioning lies in the spatial insurance hypothesis, which centers on the idea that productivity and stability increase with biodiversity in a temporally varying, spatially heterogeneous environment. However, there has been little work on the impact of dispersal where environmental risks are more or less spatially correlated, or where dispersal rates are variable. In this paper, we extend the original Loreau model to consider stochastic temporal variation in resource availability, which we refer to as {"}environmental risk{"}, and heterogeneity in species dispersal rates. We find that asynchronies across communities and species provide community-level stabilizing effects on productivity, despite varying levels of species richness. Although intermediate dispersal rates play a role in mitigating risk, they are less effective in insuring productivity against global (metacommunity-level) than local (individual community-level) risks. These results are particularly interesting given the emergence of global sources of risk such as climate change or the closer integration of world markets. Our results offer deeper insights into the Loreau model and new perspectives on the effectiveness of spatial insurance in the face of environmental risks.",
keywords = "Dispersal, Risk, Stability, Stochasticity",
author = "Shanafelt, {David W.} and Ulf Dieckmann and Matthias Jonas and Oskar Franklin and Michel Loreau and Charles Perrings",
year = "2015",
month = "9",
day = "7",
doi = "10.1016/j.jtbi.2015.06.017",
language = "English (US)",
volume = "380",
pages = "426--435",
journal = "Journal of Theoretical Biology",
issn = "0022-5193",
publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Biodiversity, productivity, and the spatial insurance hypothesis revisited

AU - Shanafelt, David W.

AU - Dieckmann, Ulf

AU - Jonas, Matthias

AU - Franklin, Oskar

AU - Loreau, Michel

AU - Perrings, Charles

PY - 2015/9/7

Y1 - 2015/9/7

N2 - Accelerating rates of biodiversity loss have led ecologists to explore the effects of species richness on ecosystem functioning and the flow of ecosystem services. One explanation of the relationship between biodiversity and ecosystem functioning lies in the spatial insurance hypothesis, which centers on the idea that productivity and stability increase with biodiversity in a temporally varying, spatially heterogeneous environment. However, there has been little work on the impact of dispersal where environmental risks are more or less spatially correlated, or where dispersal rates are variable. In this paper, we extend the original Loreau model to consider stochastic temporal variation in resource availability, which we refer to as "environmental risk", and heterogeneity in species dispersal rates. We find that asynchronies across communities and species provide community-level stabilizing effects on productivity, despite varying levels of species richness. Although intermediate dispersal rates play a role in mitigating risk, they are less effective in insuring productivity against global (metacommunity-level) than local (individual community-level) risks. These results are particularly interesting given the emergence of global sources of risk such as climate change or the closer integration of world markets. Our results offer deeper insights into the Loreau model and new perspectives on the effectiveness of spatial insurance in the face of environmental risks.

AB - Accelerating rates of biodiversity loss have led ecologists to explore the effects of species richness on ecosystem functioning and the flow of ecosystem services. One explanation of the relationship between biodiversity and ecosystem functioning lies in the spatial insurance hypothesis, which centers on the idea that productivity and stability increase with biodiversity in a temporally varying, spatially heterogeneous environment. However, there has been little work on the impact of dispersal where environmental risks are more or less spatially correlated, or where dispersal rates are variable. In this paper, we extend the original Loreau model to consider stochastic temporal variation in resource availability, which we refer to as "environmental risk", and heterogeneity in species dispersal rates. We find that asynchronies across communities and species provide community-level stabilizing effects on productivity, despite varying levels of species richness. Although intermediate dispersal rates play a role in mitigating risk, they are less effective in insuring productivity against global (metacommunity-level) than local (individual community-level) risks. These results are particularly interesting given the emergence of global sources of risk such as climate change or the closer integration of world markets. Our results offer deeper insights into the Loreau model and new perspectives on the effectiveness of spatial insurance in the face of environmental risks.

KW - Dispersal

KW - Risk

KW - Stability

KW - Stochasticity

UR - http://www.scopus.com/inward/record.url?scp=84933566145&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84933566145&partnerID=8YFLogxK

U2 - 10.1016/j.jtbi.2015.06.017

DO - 10.1016/j.jtbi.2015.06.017

M3 - Article

VL - 380

SP - 426

EP - 435

JO - Journal of Theoretical Biology

JF - Journal of Theoretical Biology

SN - 0022-5193

ER -