Abstract
Losses in biodiversity critically impact the ability of ecosystems to provide critical services ranging from carbon sequestration and food production to the maintenance of soil fertility. The maintenance of biodiversity is thus essential for human well-being and a sustainable future. Since landscape diversity often relates to species biodiversity, considering several ecological levels from species community diversity to genetic diversity, measuring landscape heterogeneity, is an efficient and relatively cheap way of providing biodiversity estimates over large geographical areas. In this study we will demonstrate the power of using remotely sensed data to estimate landscape heterogeneity and locate diversity hotspots, allowing effective management and conservation of the landscape.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
- Normalize Difference Vegetation Index
- Generalise Entropy
- Landscape Diversity
- Mapping Landscape
- Pielou Evenness
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Bolliger J (2005) Simulating complex landscapes with a generic model: Sensitivity to qualitative and quantitative classifications. Ecol Complex 2:131-149
Cardinale BJ, Srivastava DS, Duffy JE, Wright JP, Downing AL, Sankaran M, Jouseau C (2005) Biodiversity loss and its impact on humanity. Nature 486: 59-67
Catford JA, Daehler CC, Murphy HT, Sheppard AW, Hardesty BD, Westcott DA, Rejmnek M, Bellingham PJ, Pergl J, Horvitz CC, Hulme PE (2012) The intermediate disturbance hypothesis and plant invasions: Implications for species richness and management. Perspectives Plant Ecol Evol Systematics 14, 231-241
Feeley KJ, Gillespie TW, Terborgh JW (2005) The utility of spectral indices from Landsat ETM+ for measuring the structure and composition of tropical dry forests. Biotropica 37:508-519
Fogel K (2009) Producing open source software: how to run a successful free software project. Creative Commons Attribution-ShareAlike (3.0) license. O’Reilly, Sebastopol, USA
Gillespie TW, Foody GM, Rocchini D, Giorgi AP, Saatchi S (2008) Measuring and modelling biodiversity from space. Progr Phys Geogr 32:203-221
Goodchild MF, Egenhofer MJ, Kemp KK, Mark DM, Sheppard ES (1999) Introduction to the Varenius project. Int J Geogr Inf Sci 13:731-745
Gorelick R (2006) Combining richness and abundance into a single diversity index using matrix analogues of Shannon’s and Simpson’s indices. Ecography 29: 525-530
Grime JP (1973) Competitive exclusion in herbaceous vegetation. Nature 242:344-347
Margalef R (1958) Information theory in ecology. Gen. Syst. 3:36-71
Naeem S, Bunker DE, Hector A, Loreau M, Perrings C (2009) Biodiversity, Ecosystem Functioning, & Human Wellbeing. An Ecological and Economic Perspective. Oxford University Press, Oxford, UK
Nagendra H, Gadgil M (1999) Biodiversity assessment at multiple scales: linking remotely sensed data with field information. Proc Natl Acad Sci USA 96:9154-9158
Nagendra H, Lucas R, Honrado JP, Jongman RHG, Tarantino C, Adamo M, Mairota P (2013) Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity and threats. Ecol Indic 33:45-59
Nagendra H (2002) Opposite trends in response for the Shannon and Simpson indices of landscape diversity. Appl Geogr 22, 175-186
Nagendra H, Pareeth S, Ghate R (2006) People within parks: forest villages, landcover change and landscape fragmentation in the Tadoba-Andhari Tiger Reserve, India. Appl Geogr 26:96-112
Nagendra H, Reyers B, Lavorel S (2013) Impacts of land change on biodiversity: making the link to ecosystem services. Current Opinions Environ. Sustainability 5:503-508
Nagendra H, Rocchini D, Ghate R (2010a) Beyond parks as monoliths: Spatially differentiating park-people relationships in the Tadoba Andhari Tiger Reserve in India. Biol Conserv 143:2900-2908
Nagendra H, Rocchini D, Ghate R, Sharma B, Pareeth S (2010b) Assessing plant diversity in a dry tropical forest: Comparing the utility of Landsat and IKONOS satellite images. Remote Sens 2:478-496
Neteler M, Bowman MH, Landa M, Metz M (2012) GRASS GIS: a multi-purpose Open Source GIS. Environ Model Software 31:124-130
Neteler M, Mitasova H (2008) Open Source GIS: A GRASS GIS Approach, The International Series in Engineering and Computer ScienceThird Edition. Springer, New York, USA
O’Neill RV, Krummel JR, Gardner RH, Sugihara G, Jackson B, DeAngelis DL, Milne BT, Turner MG, Zygmunt B, Christensen SW, Dale VH, Graham RL (1988) Indices of landscape pattern. Landscape Ecol 1:153-162
Paine RT, Vadas RL (1969) The effects of grazing by sea urchins, Strongylocentrotus spp., on benthic algal populations. Limnol Oceanogr 14:710-719
Palmer MW, Earls P, Hoagland BW, White PS, Wohlgemuth T (2002) Quantitative tools for perfecting species lists. Environmetrics 13:121-137
Pielou, EC (1969) An Introduction to Mathematical Ecology. Wiley, New York, USA
R Development Core Team (2013) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. (http://www.R-project.org,)
Rényi A (1970) Probability Theory. North Holland Publishing Company, Amsterdam, The Netherlands
Ricotta C (2005) On possible measures for evaluating the degree of uncertainty of fuzzy thematic maps. Int J Remote Sens 26:5573-5583
Ricotta C, Avena G (2003) On the relationship between Pielou’s evenness and landscape dominance within the context of Hill’s diversity profiles. Ecol Indic 2:361-365
Ricotta C, Corona P, Marchetti M, Chirici G, Innamorati S (2003) LaDy: software for assessing local landscape diversity profiles of raster land cover maps using geographic windows. Environ Model Software 18:373-378
Rocchini D (2007) Effects of spatial and spectral resolution in estimating ecosystem α-diversity by satellite imagery. Remote Sens Environ 111: 423-434
Rocchini D, Balkenhol N, Carter GA, Foody GM, Gillespie TW, He KS, Kark S, Levin N, Lucas K, Luoto M, Nagendra H, Oldeland J, Ricotta C, Southworth J, Neteler M (2010) Remotely sensed spectral heterogeneity as a proxy of species diversity: recent advances and open challenges. Ecol Inform 5:318-329
Rocchini D, Delucchi L, Bacaro G, Cavallini P, Feilhauer H, Foody GM, He KS, Nagendra H, Porta C, Ricotta C, Schmidtlein S, Spano LD, Wegmann M, Neteler M (2013) Calculating landscape diversity with information-theory based indices: A GRASS GIS solution. Ecol Inform 17:82-93
Rocchini D, Nagendra H, Ghate R, Cade BS (2009) Spectral distance decay: assessing species beta-diversity by quantile regression. Photogramm Engin Remote Sens 75:1225-1230
Rocchini D, NetelerM(2012) Spectral rank-abundance for measuring landscape diversity. Int J Remote Sens. 33:4458-4470
Shannon C (1948) A mathematical theory of communication. Bell Syst Tech J 27:379-423
Simpson EH (1949) Measurement of diversity. Nature 163:688
Stallman R (1985) The GNU Manifesto Available at: http://www.gnu.org/gnu/manifesto.html
Stallman R (1997) The GNU Manifesto, In: Ermann MD, Williams MB, Shauf MS (Eds.), Computers, Ethics and Society, Second Edition. Oxford University Press, Oxford, pp. 229-239
Tucker CJ, Grant DM, Dykstra JD (2004) NASA’s global orthorectified Landsat data set. Photogramm Engin Remote Sens 70:313-322
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Rocchini, D., Olteanu-Raimond, AM., Delucchi, L., Pareeth, S., Neteler, M., Nagendra, H. (2014). Sensing Technologies and Their Integration with Maps: Mapping Landscape Heterogeneity by Satellite Imagery. In: Bandrova, T., Konecny, M., Zlatanova, S. (eds) Thematic Cartography for the Society. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-08180-9_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-08180-9_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08179-3
Online ISBN: 978-3-319-08180-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)