3 Works

Data from: Low-canopy seagrass beds still provide important coastal protection services

Marjolijn J. A. Christianen, Marieke M. Van Katwijk, Peter J. M. Van Leent, Jim Van Belzen, Peter M. J. Herman, Tjeerd J. Bouma & Leon P. M. Lamers
One of the most frequently quoted ecosystem services of seagrass meadows is their value for coastal protection. Many studies emphasize the role of above-ground shoots in attenuating waves, enhancing sedimentation and preventing erosion. This raises the question if short-leaved, low density (grazed) seagrass meadows with most of their biomass in belowground tissues can also stabilize sediments. We examined this by combining manipulative field experiments and wave measurements along a typical tropical reef flat where green...

Data from: Habitat collapse due to overgrazing threatens turtle conservation in marine protected areas

Marjolijn J. A. Christianen, Peter M. J. Herman, Tjeerd J. Bouma, Leon P. M. Lamers, Marieke M. Van Katwijk, Tjisse Van Der Heide, Peter J. Mumby, Brian R. Silliman, Sarah L. Engelhard, Madelon Van De Kerk, Wawan Kiswara & Johan Van De Koppel
Marine protected areas (MPAs) are key tools for combatting the global overexploitation of endangered species. The prevailing paradigm is that MPAs are beneficial in helping to restore ecosystems to more ‘natural’ conditions. However, MPAs may have unintended negative effects when increasing densities of protected species exert destructive effects on their habitat. Here, we report on severe seagrass degradation in a decade-old MPA where hyper-abundant green turtles adopted a previously undescribed below-ground foraging strategy. By digging...

Data from: Advancing population ecology with integral projection models: a practical guide

Cory Merow, Johan P. Dalgren, C. Jessica E. Metcalf, Dylan Z. Childs, M. E. K. Evans, Eelke Jongejans, Sydne Record, Mark Rees, Roberto Salguero-Gómez, Sean M. McMahon, Margaret E.K. Evans & Johan P. Dahlgren
Integral Projection Models (IPMs) use information on how an individual's state influences its vital rates - survival, growth and reproduction - to make population projections. IPMs are constructed from regression models predicting vital rates from state variables (e.g., size or age) and covariates (e.g., environment). By combining regressions of vital rates, an IPM provides mechanistic insight into emergent ecological patterns such as population dynamics, species geographic distributions, or life history strategies. Here, we review important...

Registration Year

  • 2013
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Resource Types

  • Dataset
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Affiliations

  • Radboud University Nijmegen
    3
  • University of Queensland
    2
  • Royal Netherlands Institute for Sea Research
    2
  • Duke University
    1
  • University of Connecticut
    1
  • Max Planck Institute for Demographic Research
    1
  • Smithsonian Environmental Research Center
    1
  • Indonesian Institute of Sciences
    1
  • University of Arizona
    1
  • Harvard University
    1