Ecosystem greenspots pass the first test
详细信息    查看全文
  • 作者:Susan F. Gould ; Sonia Hugh ; Luciana L. Porfirio ; Brendan Mackey
  • 关键词:Climate change ; fPAR ; Framework species ; Micro ; refuges ; NDVI ; Primary productivity ; Vegetation based habitat resources ; Tasmania ; Australia
  • 刊名:Landscape Ecology
  • 出版年:2015
  • 出版时间:January 2015
  • 年:2015
  • 卷:30
  • 期:1
  • 页码:141-151
  • 全文大小:4,391 KB
  • 参考文献:1. Andrew ME, Wulder MA, Coops NC (2011) Patterns of protection and threats along productivity gradients in Canada. Biol Conserv 144:2891-901 CrossRef
    2. Andrewartha HG, Birch LC (1984) The Ecological Web: more on the distribution and abundance of animals. University of Chicago Press, Chicago
    3. Ashcroft MB (2010) Identifying refugia from climate change. J Biogeogr 37:1407-413
    4. Ashcroft MB, Chisholm LA, French KO (2009) Climate change at the landscape scale: predicting fine-grained spatial heterogeneity in warming and potential refugia for vegetation. Glob Chang Biol 15:656-67 CrossRef
    5. Ashcroft MB, Gollan JR, Warton DI, Ramp D (2012) A novel approach to quantify and locate potential microrefugia using topoclimate, climate stability, and isolation from the matrix. Glob Chang Biol 18:1866-879 CrossRef
    6. Berry SL, Roderick ML (2002) Estimating mixtures of leaf functional types using continental-scale satellite and climatic data. Glob Ecol Biogeogr 11:23-9 CrossRef
    7. Berry SL, Roderick ML (2004) Gross primary productivity and transpiration flux of the Australian vegetation from 1788-988 ad : effects of CO2 and land use change. Glob Chang Biol 10:1884-898 CrossRef
    8. Berry S, Mackey B, Brown T (2007) Potential applications of remotely sensed vegetation greenness to habitat analysis and the conservation of dispersive fauna. Pac Conserv Biol 13:120-27
    9. Berryman AA, Hawkins BA (2006) The refuge as an integrating concept in ecology and evolution. Oikos 115:192-96 CrossRef
    10. Bouldin J (2008) Some problems and solutions in density estimation from bearing tree data: a review and synthesis. J Biogeogr 35:2000-011 CrossRef
    11. Box EO (1989) Accuracy of the AVHRR vegetation index as a predictor of biomass, primary productivity and net CO2 flux. Vegetatio 80:71-9 CrossRef
    12. Bureau of Meteorology (2013) Monthly climate statistics. http://www.bom.gov.au/climate/averages/tables/cw_091022.shtml. Accessed 7 Aug 2013
    13. Byrne M (2008) Evidence for multiple refugia at different time scales during Pleistocene climatic oscillations in southern Australia inferred from phylogeography. Quat Sci Rev 27:2576-585 CrossRef
    14. Carbone C, Gittleman JL (2002) A common rule for the scaling of carnivore density. Science 295:2273-276 CrossRef
    15. Carnaval AC, Hickerson MJ, Haddad CF, Rodrigues MT, Moritz C (2009) Stability predicts genetic diversity in the Brazilian Atlantic forest hotspot. Science 323:785-89 CrossRef
    16. Caughley G (1994) Directions in conservation biology. J Anim Ecol 63:215-44 CrossRef
    17. Commonwealth of Australia (1999) Australian guidelines for establishing the national reserve system. Environment Australia, Canberra
    18. Coops NC, Wulder MA, Duro DC, Han T, Berry S (2008) The development of a Canadian dynamic habitat index using multi-temporal satellite estimates of canopy light absorbance. Ecol Indic 8:754-66 CrossRef
    19. Dobrowski SZ (2011) A climatic basis for microrefugia: the influence of terrain on climate. Glob Chang Biol 17:1022-035
文摘
Given climate change projections, the ability to identify locations that provide refuge under drought conditions is an urgent conservation priority. Previously, it has been proposed that the ecosystem greenspot index could be used to identify locations that currently function as habitat refuges from drought and fire. If this is true, these locations may have the potential to function as climate-change micro-refuges. In this study we aimed to: (1) test whether ecosystem greenspot indices are related to vegetation specific gradients of habitat resources; and (2) identify environmental correlates of the ecosystem greenspots. Ecosystem greenspot indices were calculated for two vegetation types: a woodland and a grassland, and compared with in situ data on vegetation structure. There were inaccuracies in the identification of the grassland greenspot index due to fine scale spatial heterogeneity and misclassification. However, the woodland greenspot index accurately identified vegetation specific gradients in the biomass of the relevant framework species. The spatial distribution of woodland greenspots was related to interacting rainfall, soil and landscape variables. The ability to provide information about variation in resources, and hence habitat quality, within specific vegetation types has immediate applications for conservation planning. This is the first step toward validating whether the ecosystem greenspot index of Mackey et al. (Ecol Appl 22:1852-864, 2012) can identify potential drought micro-refuges. More work is needed to (1) address sources of error in identifying specific vegetation types; (2) refine the analysis and field validation methods for grasslands; and (3) to test whether species persistence during drought is supported by identified greenspots.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700