globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2274
论文题名:
Interdependency of tropical marine ecosystems in response to climate change
作者: Megan I. Saunders
刊名: Nature Climate Change
ISSN: 1758-1268X
EISSN: 1758-7388
出版年: 2014-06-22
卷: Volume:4, 页码:Pages:724;729 (2014)
语种: 英语
英文关键词: Climate-change ecology ; Ecosystem ecology ; Physical oceanography ; Ecological modelling
英文摘要:

Ecosystems are linked within landscapes by the physical and biological processes they mediate. In such connected landscapes, the response of one ecosystem to climate change could have profound consequences for neighbouring systems. Here, we report the first quantitative predictions of interdependencies between ecosystems in response to climate change. In shallow tropical marine ecosystems, coral reefs shelter lagoons from incoming waves, allowing seagrass meadows to thrive. Deepening water over coral reefs from sea-level rise results in larger, more energetic waves traversing the reef into the lagoon1, 2, potentially generating hostile conditions for seagrass. However, growth of coral reef such that the relative water depth is maintained could mitigate negative effects of sea-level rise on seagrass. Parameterizing physical and biological models for Lizard Island, Great Barrier Reef, Australia, we find negative effects of sea-level rise on seagrass before the middle of this century given reasonable rates of reef growth. Rates of vertical carbonate accretion typical of modern reef flats (up to 3 mm yr−1) will probably be insufficient to maintain suitable conditions for reef lagoon seagrass under moderate to high greenhouse gas emissions scenarios by 2100. Accounting for interdependencies in ecosystem responses to climate change is challenging, but failure to do so results in inaccurate predictions of habitat extent in the future.

Climate change affects the distribution, extent and functioning of ecosystems3. Ecosystems comprise living organisms and the non-living components of their environment in an interacting system. Interactions between distinct ecosystems also occur—for instance, where one ecosystem modifies adjacent environments, allowing other ecosystems to thrive where they otherwise would not exist. At the species level, interdependencies in response to climate change occur when interacting species have different responses to a climate stressor. This can alter interactions such as competition, rates of pathogen infection, herbivory and predation4, 5, 6. Interdependencies in response to climate change at the ecosystem level may also exist, but have not previously been quantified in a predictive framework.

In shallow tropical seas, coral and seagrass exist in a patchy habitat mosaic, connected by numerous biological, physical and chemical linkages7, 8. Seagrass supports early life-stages of many reef fish7; provides a buffer against low pH (ref. 8); binds sediments to reduce erosion9 and filters nutrients and sediments from water9. In turn, the distribution of shallow seagrass meadows which thrive in low-energy wave environments9 depends on wave sheltering by coral reefs. Seagrass and coral reefs support the livelihoods of many of the 1.3 billion people who live within 100 km of tropical coasts10. Unfortunately, rapid and widespread declines of these habitats are occurring worldwide11, 12, 13. Accurately predicting effects of climate change on tropical marine ecosystems is essential for developing appropriate management plans to maintain human well-being.

Sea-level rise (SLR) drives changes in the distribution of seagrass14 and coral reefs15. Despite considerable uncertainty, SLR of up to 1 m by 2100 may occur given business-as-usual greenhouse gas emissions scenarios16, 17, 18. Rising seas result in inland migration of coastal habitats, loss of habitat at the seaward edge, vertical accretion to maintain relative position with sea level, adaptation to new conditions, or a combination thereof14. Coral reef growth (carbonate accretion) occurs by calcification of corals and coralline algae, and subsequent in-filling of the reef matrix19, 20. Sediment accretion in seagrass meadows occurs by the production of roots and rhizomes, and by promotion of high rates of sediment deposition and retention9.

Our aim was to predict the response of seagrass distribution to altered wave conditions resulting from rising seas and the responses of distinct ecosystems (coral reefs and seagrass) to changes in sea level (Fig. 1). We examined this process at an intensively studied coral reef environment at Lizard Island, Great Barrier Reef (Fig. 2a), where there is a gradient of wave exposure over shallow water habitats15, 21, 22.

Figure 1: Seagrass and coral reef ecosystems are connected within landscapes by the physical and biological processes they mediate; in such connected landscapes, the response of one ecosystem to climate change could have profound consequences for neighbouring systems.
Seagrass and coral reef ecosystems are connected
    within landscapes by the physical and biological processes they mediate; in such connected
    landscapes, the response of one ecosystem to climate change could have profound consequences for
    neighbouring systems.

a, Seagrass meadows and coral reefs form distinct ecosystems, yet often live in close proximity in linked tropical marine ecosystems. b, Coral reefs block and dissipate wave energy and permit seagrass, which is less wave tolerant, to exist in protected lagoons. c, Deepening water from sea-level rise will allow larger, more energetic waves to traverse the reef into the lagoon, reducing habitat suitability for seagrass. Images reproduced with permission from: a, M. I. Saunders, b,c, Tracey Saxby, Diana Kleine, Catherine Collier, Joanna Woerner; Integration and Application Network, University of Maryland Center for Environmental Science (ian.umces.edu/imagelibrary).

Study site.

Lizard Island (14.7° S, 145.5° E) is a granitic island located 30 km off the coastline of Northern Queensland, Australia (Fig. 2). A barrier reef encloses a 10 m deep lagoon, inshore of which patch reefs and seagrass meadows comprised primarily of Thalassia hemprichii, Halodule uninervis and Halophila ovalis occur. The climate is tropical with winds predominantly from the southeast. Long-period swells are dissipated by the outer Great Barrier Reef. Tides are semi-diurnal, with a maximum range of 3 m.

Modelling overview.

A habitat distribution model for presence versus absence of seagrass in 0–5 m depth was developed based on URMS, Tp and Hs. A graphical overview of the approach is available in Supplementary Fig. 4.

The model was first developed and implemented using 2D spatial data at 5×5 m resolution for the entire study area. Wave conditions in 2100 based on 1 m SLR without any reef growth or sediment accretion were then simulated and used to predict occurrence of seagrass in the future in the absence of geomorphic response to SLR.

For computational efficiency, subsequent analyses used data along a 1D transect sampled at 1 m resolution traversing the reef crest and through the seagrass meadows towards shore (Fig. 2a). The effect of varying magnitudes of seagrass sediment and reef accretion on hydrodynamic conditions were calculated using SWAN. Resultant wave parameters were used to calculate the probability of seagrass habitat occurring in the future under various scenarios.

The total area examined was 39.6 km2 (1,585,142 cells of 5×5 m); of this, 6.1 km2 (244,000 cells) were between 0 and 5 m depth and used to model the 2D scenario. The 1D transect was 2,173 m long and sampled every 1 m; 1,812 cells were between 0 and 5 m depth. Data layers were collated using ESRI ArcMap 10.0 and exported to RStudio v.0.98.501 for analysis. Further information is available in the Supplementary Methods.

Input data.

Spatial data were based on a Worldview 2 satellite image (2×2 m pixel size) captured in October 2011, and field data collected in December 2011 and October 2012. A digital elevation model (DEM) was derived using multiple data sources21. Habitat data were collected using geo-referenced photo transects at 1–5 m depth by snorkel and scuba. Photos were analysed for benthic habitat and substrate composition. A map of benthic habitats was generated using object-based image analysis with the field data for calibration and validation.

Wave modelling.

Synoptic maps of wave parameters were created using the Simulating WAves Nearshore (SWAN) model across Lizard Island29. The model was generated using half-hourly wind speed and direction from the Australian Government Bureau of Meteorology Station at Cape Flattery from 1999 to 2009. For each location six wave parameters were derived: mean and 90th percentile over 10 yr of significant wave height (Hs), peak period (Tp) and benthic wave orbital velocity (URMS), respectively.

Species distribution model (SDM).

SDMs for seagrass presence versus absence were developed using wave parameters as predictor variables. Separate models were built for 2D and 1D scenarios. For each, presence versus absence of seagrass was predicted by fitting a generalized linear model assuming a binomially distributed response and using a logit link function. Spatial autocorrelation identified using global Moran’s I was accounted for using the residuals autocovariate (RAC) method25. Two scenarios are presented: the full RAC model including the autocovariate term used for model prediction; and parameters estimated using the model, but predictions made with the autocovariate term set to zero.

A cross-validation procedure14, 23 was used to assess model performance by splitting the data set randomly into 75% for model fitting and 25% for model validation, repeated for 100 iterations for various threshold probability values, above which seagrass was classified as present. The threshold cut-off value was selected as the value where Kappa and Percent Correctly Classified were maximized.

Modification of bathymetry by SLR and accretion.

SLR was modelled based on nonlinearly increasing rates of SLR in decadal increments starting with 3 mm yr−1 in 2010. For each model run, the rate of increase of SLR varied between 0.5 and 3 mm decade−1, to reach SLR of 45–135 cm by 2100. In each time step, depth increased according to SLR, and the reef platform accreted vertically at a temporally uniform maximum rate of 0–10 mm yr−1 (ref. 20), depending on scenario. If a location reached −1.2 m relative to mean sea level, equivalent to the shallowest presently observed depth of coral, it was prevented from accreting in that time step. For illustrative purposes data are presented against four SLR trajectories representative of emissions scenarios16, 17.

Prediction of seagrass distribution under future conditions.

To predict habitat suitability for seagrass under future conditions, wave parameters for the modified bathymetries were re-calculated using SWAN, and the coefficients of the SDM used to predict seagrass presence in the future.

  1. Sheppard, C., Dixon, D., Gourlay, M., Sheppard, A. & Payet, R. Coral mortality increases wave energy reaching shores protected by reef flats: Examples from the Seychelles. Estuar. Coast. Shelf Sci. 64, 223234 (2005).
  2. Storlazzi, C. D., Elias, E., Field, M. E. & Presto, M. K. Numerical modeling of the impact of sea-level rise on fringing coral reef hydrodynamics and sediment transport. Coral Reefs 30, 8396 (2011).
  3. IPCC Summary for Policymakers, Climate Change 2014: Impacts, Adaptation, and Vulnerability 132 (IPCC, Cambridge Univ. Press, 2014).
  4. Blois, J. L., Zarnetske, P. L., Fitzpatrick, M. C. & Finnegan, S. Climate change and the past, present, and future of biotic interactions . Science 341, 499504 (2013).
  5. Harley, C. D. G. Climate change, keystone predation, and biodiversity loss. Science 334, 11241127 (2011).
  6. Tylianakis, J. M., Didham, R. K., Bascompte, J. & Wardle, D. A. Global change and species interactions in terrestrial ecosystems. Ecol. Lett. 11, 13511363 (2008).
  7. Mumby, P. J. et al. Mangroves enhance the biomass of coral reef fish communities in the Caribbean. Nature 427, 533536 (2004). URL:
http://www.nature.com/nclimate/journal/v4/n8/full/nclimate2274.html
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/5091
Appears in Collections:气候变化事实与影响
科学计划与规划
气候变化与战略

Files in This Item:
File Name/ File Size Content Type Version Access License
nclimate2274.pdf(1161KB)期刊论文作者接受稿开放获取View Download

Recommended Citation:
Megan I. Saunders. Interdependency of tropical marine ecosystems in response to climate change[J]. Nature Climate Change,2014-06-22,Volume:4:Pages:724;729 (2014).
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Megan I. Saunders]'s Articles
百度学术
Similar articles in Baidu Scholar
[Megan I. Saunders]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Megan I. Saunders]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: nclimate2274.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.