Global Trends in Exposure to Light Pollution in Natural Terrestrial Ecosystems

Abstract: The rapid growth in electric light usage across the globe has led to increasing presence of artificial light in natural and semi-natural ecosystems at night. This occurs both due to direct illumination and skyglow - scattered light in the atmosphere. There is increasing concern about the effects of artificial light on biological processes, biodiversity and the functioning of ecosystems. We combine intercalibrated Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) images of stable night-time lights for the period 1992 to 2012 with a remotely sensed landcover product (GLC2000) to assess recent changes in exposure to artificial light at night in 43 global ecosystem types. We find that Mediterranean-climate ecosystems have experienced the greatest increases in exposure, followed by temperate ecosystems. Boreal, Arctic and montane systems experienced the lowest increases. In tropical and subtropical regions, the greatest increases are in mangroves and subtropical needleleaf and mixed forests, and in arid regions increases are mainly in forest and agricultural areas. The global ecosystems experiencing the greatest increase in exposure to artificial light are already localized and fragmented, and often of particular conservation importance due to high levels of diversity, endemism and rarity. Night time remote sensing can play a key role in identifying the extent to which natural ecosystems are exposed to light pollution.

[1]  Paul C. Sutton,et al.  A scale-adjusted measure of Urban sprawl using nighttime satellite imagery , 2003 .

[2]  Peter Goldblatt,et al.  Plant Diversity of the Cape Region of Southern Africa , 2002 .

[3]  Hui Li,et al.  Automatic intercalibration of night-time light imagery using robust regression , 2013 .

[4]  Kevin J. Gaston,et al.  The nature, extent, and ecological implications of marine light pollution , 2014 .

[5]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[6]  K. D. Frank,et al.  Impact of outdoor lighting on moths: an assessment , 1988 .

[7]  P. Gioia,et al.  Species richness and endemism in the Western Australian flora , 2000 .

[8]  K. Gaston,et al.  Contrasting trends in light pollution across Europe based on satellite observed night time lights , 2014, Scientific Reports.

[9]  W. Nordhaus,et al.  Using luminosity data as a proxy for economic statistics , 2011, Proceedings of the National Academy of Sciences.

[10]  S. Harris,et al.  Street Lighting Disturbs Commuting Bats , 2009, Current Biology.

[11]  Steven D. Miller,et al.  Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band , 2013, Remote. Sens..

[12]  Roger Bivand,et al.  Bindings for the Geospatial Data Abstraction Library , 2015 .

[13]  Christian Wolter,et al.  Light pollution as a biodiversity threat. , 2010, Trends in ecology & evolution.

[14]  Yuyu Zhou,et al.  Correcting Incompatible DN Values and Geometric Errors in Nighttime Lights Time-Series Images , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Robert J. Hijmans,et al.  Geographic Data Analysis and Modeling , 2015 .

[16]  C. Voigt,et al.  Artificial light puts ecosystem services of frugivorous bats at risk , 2014 .

[17]  Aljos Farjon,et al.  A Handbook of the World's Conifers , 2010 .

[18]  Travis Longcore,et al.  Ecological light pollution , 2004 .

[19]  J. Rydell,et al.  Exploitation of Insects around Streetlamps by Bats in Sweden , 1992 .

[20]  M. Kanninen,et al.  Mangroves among the most carbon-rich forests in the tropics , 2011 .

[21]  Travis Longcore,et al.  Ecological consequences of artificial night lighting , 2006 .

[22]  Rafael Moreno Sanchez,et al.  Fragmentation of the forests in Mexico: national level assessments for 1993, 2002 and 2008 , 2014 .

[23]  Boulder,et al.  The first World Atlas of the artificial night sky brightness , 2001, astro-ph/0108052.

[24]  Chris J. Kennedy,et al.  The value of estuarine and coastal ecosystem services , 2011 .

[25]  C. Elvidge,et al.  National Trends in Satellite-Observed Lighting: 1992–2012 , 2011 .

[26]  G. Powell,et al.  Terrestrial Ecoregions of the World: A New Map of Life on Earth , 2001 .

[27]  Jaime Zamorano,et al.  Atlas of astronaut photos of Earth at night , 2014 .

[28]  Yang Yang,et al.  Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review , 2014, Remote. Sens..

[29]  M. J. Butt Estimation of Light Pollution Using Satellite Remote Sensing and Geographic Information System Techniques , 2012 .

[30]  J. A. Quintanilha,et al.  DMSP/OLS night‐time light imagery for urban population estimates in the Brazilian Amazon , 2006 .

[31]  K. Gaston,et al.  Demographic effects of artificial nighttime lighting on animal populations , 2014 .

[32]  Franz Hölker,et al.  Do artificially illuminated skies affect biodiversity in nocturnal landscapes? , 2013, Landscape Ecology.

[33]  Jaime Zamorano,et al.  Evolution of the energy consumed by street lighting in Spain estimated with DMSP-OLS data , 2013, 1311.6992.

[34]  Jonathan Bennie,et al.  The ecological impacts of nighttime light pollution: a mechanistic appraisal , 2013, Biological reviews of the Cambridge Philosophical Society.

[35]  Kurt H. Riitters,et al.  Distribution and Causes of Global Forest Fragmentation , 2003 .

[36]  Frédéric Médail,et al.  Hot-Spots Analysis for Conservation of Plant Biodiversity in the Mediterranean Basin , 1997 .

[37]  I. Valiela,et al.  Mangrove Forests: One of the World's Threatened Major Tropical Environments , 2001 .

[38]  Mathieu Rouget,et al.  Current patterns of habitat transformation and future threats to biodiversity in terrestrial ecosystems of the Cape Floristic Region, South Africa , 2003 .