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Forest Cover in Tunisia Before and After the 2011 Tunisian Revolution: a Spatial Analysis Approach

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Abstract

A spatio-temporal analysis of Tunisian forests over the 8 years from 2007 to 2014 is presented in this study. We compare the extent of the forest loss 4 years before and after the 2011 Tunisian revolution using estimates from Global Forest Change Data (GFCD) for 11 governorates located in northern Tunisia. Results show that forest losses have almost tripled from 32 km2 in the period from 2007 to 2010 compared to 90 km2 for 2011–2014, with an annual increment estimated at 3.06 km2 per year. Among the 11 governorates studied, only the governorates of Bizerte and Nabeul revealed a statistically significant difference (p value < 0.05) between the means of the forest loss recorded before the revolution and those registered during the post-revolution period. At the delegation level, a significant positive spatial autocorrelation (p value < 0.05) was revealed for both periods, with Moran’s I values of 0.14 and 0.06 before and after the revolution, respectively. The location of forest loss varied over the years with hot spots occurring in the Bizerte, Jendouba, and Béja governorates between 2007 and 2010 and in Bizerte and Le Kef governorates from 2011 to 2014. This study is the first attempt to map changes to forest cover in Northern Tunisia, which may help the development of proper forest conservation and management strategies in the country.

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References

  • Aguilar FJ, Nemmaoui A, Aguilar MA, Chourak M, Zarhloule Y, García Lorca A (2016) A quantitative assessment of forest cover change in the Moulouya River Watershed (Morocco) by the integration of a subpixel-based and object-based analysis of Landsat data. Forests 7:1–19. https://doi.org/10.3390/f7010023

    Article  Google Scholar 

  • Ahn YS, Ryu SR, Lim J, Lee CH, Shin JH, Choi WI, Lee B, Jeong JH, An KW, Seo JI (2014) Effects of forest fires on forest ecosystems in eastern coastal areas of Korea and an overview of restoration projects. Landsc Ecol Eng 10:229–237. https://doi.org/10.1007/s11355-013-0212-0

    Article  Google Scholar 

  • Allnutt TF, Asner GP, Golden CD, Powell GVN (2013) Mapping recent deforestation and forest disturbance in northeastern Madagascar. Trop Conserv Sci 6:1–15. https://doi.org/10.1177/194008291300600101

    Article  Google Scholar 

  • Álvareza MD (2003) Forests in the time of violence. J Sustain For 16:137–166. https://doi.org/10.1300/J091v16n03

    Article  Google Scholar 

  • Angelsen A, Kaimowitz D (2001) Agricultural technologies and tropical deforestation [electronic resource] (Google eBook)

  • Balch JK, Brando PM, Nepstad DC, Coe MT et al (2015) The susceptibility of southeastern Amazon forests to fire: Insights from a large-scale burn experiment. BioScience 65:893–905

    Article  Google Scholar 

  • Bawa KS, Kress WJ, Nadkarni NM et al (2004) Tropical ecosystems into the 21st century. Science 306:227–228. https://doi.org/10.1126/science.306.5694.227b

    Article  Google Scholar 

  • Ben Mansoura A, Garchi S, Daly H (2001) Analyzing forest users’ destructive behavior in northern Tunisia. Land Use Policy 18:153–163. https://doi.org/10.1016/S0264-8377(01)00004-7

    Article  Google Scholar 

  • Bovolo CI, Donoghue DNM (2017) Has regional forest loss been underestimated? Environ Res Lett 12:111003

    Article  Google Scholar 

  • Buitenzorgy M, Mol APJ (2010) Does democracy lead to a better environment? Deforestation and the democratic transition peak. Environ Resour Econ 48:59–70

    Article  Google Scholar 

  • Carnes A, Ogneva-Himmelberger Y (2012) Temporal variations in the distribution of West Nile virus within the United States; 2000–2008. Applied Spatial Analysis and Policy 5:211–229. https://doi.org/10.1007/s12061-011-9067-7

    Article  Google Scholar 

  • Cavatorta F, Haugbølle RH (2012) The end of authoritarian rule and the mythology of Tunisia under Ben Ali. Mediterr Polit 17:179–195. https://doi.org/10.1080/13629395.2012.694043

    Article  Google Scholar 

  • Chakroun N, Houman B, Benaissa Z, Francour P (2012) Situation alarmante des aires protégées tunisiennes pendant la révolution: échec d’une politique de conservation et remèdes. Quid de la recherche ? Bull Soc Zool Fr 137:33–47

    Google Scholar 

  • Chriha S, Sghari A (2013) Les incendies de forêt en Tunisie: Séquelles irréversibles de la révolution de 2011. Mediterranee 121:87–93

    Article  Google Scholar 

  • Congalton R (2001) Accuracy assessment and validation of remotely sensed and other spatial information. Int J Wildland Fire 10:321–328

    Article  Google Scholar 

  • Corbera E, Estrada M, May P, Navarro G, Pacheco P (2011) Rights to land, forests and carbon in REDD+: insights from Mexico, Brazil and Costa Rica. Forests 2:301–342

    Article  Google Scholar 

  • de Merode E, Smith KH, Homewood K, Pettifor R, Rowcliffe M, Cowlishaw G (2007) The impact of armed conflict on protected-area efficacy in central Africa. Biol Lett 3:299–301. https://doi.org/10.1098/rsbl.2007.0010

    Article  Google Scholar 

  • Dlamini WM (2016) Analysis of deforestation patterns and drivers in Swaziland using efficient Bayesian multivariate classifiers. Model EarthSyst Environ 2:1–14

    Article  Google Scholar 

  • Foody GM (2002) Status of land cover classification accuracy assessment. Remote Sens Environ 80:185–201. https://doi.org/10.1016/S0034-4257(01)00295-4

    Article  Google Scholar 

  • Gibbs HK, Brown S, Niles JO, Foley JA (2007) Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environ Res Lett 2:45023. https://doi.org/10.1088/1748-9326/2/4/045023

    Article  Google Scholar 

  • Grekousis G, Mountrakis G, Kavouras M (2015) An overview of 21 global and 43 regional land-cover mapping products. Int J Remote Sens 1161:1–27. https://doi.org/10.1080/01431161.2015.1093195

    Article  Google Scholar 

  • Hansen MC, Loveland TR (2012) A review of large area monitoring of land cover change using Landsat data. Remote Sens Environ 122:66–74

    Article  Google Scholar 

  • Hansen MC, Potapov PV, Moore R, Hancher M, Turubanova SA, Tyukavina A, Thau D, Stehman SV, Goetz SJ, Loveland TR, Kommareddy A, Egorov A, Chini L, Justice CO, Townshend JRG (2013) High-resolution global maps of 21st-century Forest cover change. Science 342:850–853. https://doi.org/10.1126/science.1244693

    Article  Google Scholar 

  • Hanson T, Brooks TM, Da Fonseca GAB et al (2009) Warfare in biodiversity hotspots. Conserv Biol 23:578–587. https://doi.org/10.1111/j.1523-1739.2009.01166.x

    Article  Google Scholar 

  • Harris NL, Goldman E, Gabris C, Nordling J, Minnemeyer S, Ansari S, Lippmann M, Bennett L, Raad M, Hansen M, Potapov P (2017) Using spatial statistics to identify emerging hot spots of forest loss. Environ Res Lett 12:024012

    Article  Google Scholar 

  • Hosonuma N, Herold M, De Sy V et al (2012) An assessment of deforestation and forest degradation drivers in developing countries. Environ Res Lett 7:44009. https://doi.org/10.1088/1748-9326/7/4/044009

    Article  Google Scholar 

  • Jaber SM, Ibbini JH, Hijjawi NS, Amdar NM (2014) An exploratory comparative study of recent spatial and temporal characteristics of cutaneous leishmaniasis in the Hashemite Kingdom of Jordan and Syrian Arab Republic pre-Arab Spring and their health policy implications. Applied Spatial Analysis and Policy 7:337–360. https://doi.org/10.1007/s12061-014-9113-3

    Article  Google Scholar 

  • Kalboussi M, Achour H (2018) Modelling the spatial distribution of snake species in northwestern Tunisia using maximum entropy (Maxent) and geographic information system (GIS). J For Res 29:233–245

    Article  Google Scholar 

  • Li Q, Reuveny R (2006) Democracy and environmental degradation. Int Stud Q 50:935–956

    Article  Google Scholar 

  • Li Y, Sulla-Menashe D, Motesharrei S, Song XP, Kalnay E, Ying Q, Li S, Ma Z (2017) Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: diferences in parameters, spatial resolution, and defnitions. Sci Rep 7:8748. https://doi.org/10.1038/s41598-017-07732-5

  • Lim CL, Prescott GW, De Alban JD, Ziegler AD, Webb EL (2017) Untangling the proximate causes and underlying drivers of deforestation and forest degradation in Myanmar. Conserv Biol 31:1362–1372

    Article  Google Scholar 

  • Linke J, Fortin MJ, Courtenay S, Cormier R (2017) High-resolution global maps of 21st-century annual forest loss: Independent accuracy assessment and application in a temperate forest region of Atlantic Canada. Remote Sens Environ 188:164–176

    Article  Google Scholar 

  • Lui GV, Coomes DA (2015) A comparison of novel optical remote sensing-based technologies for forest-cover/change monitoring. Remote Sens 7:2781–2807

    Article  Google Scholar 

  • Luyssaert S, Schulze E-D, Börner A et al (2008) Old-growth forests as global carbon sinks. Nature 455:213–215. https://doi.org/10.1038/nature07276

    Article  Google Scholar 

  • Miles L, Kapos V (2008) Reducing greenhouse gas emissions from deforestation and forest degradation: global land-use implications. Science 320:1454–1455. https://doi.org/10.1126/science.1155358

    Article  Google Scholar 

  • Milodowski DT, Mitchard ETA, Williams M (2017) Forest loss maps from regional satellite monitoring systematically underestimate deforestation in two rapidly changing parts of the Amazon. Environ Res Lett 12:094003

    Article  Google Scholar 

  • Mitchell A (2005) The ESRI guide to GIS analysis. Volume 2: spatial measurements and statistics. ESRI Press

  • Ordway EM (2015) Political shifts and changing forests: effects of armed conflict on forest conservation in Rwanda. Glob Ecol Conserv 3:448–460. https://doi.org/10.1016/j.gecco.2015.01.013

    Article  Google Scholar 

  • Sangne CY, Barima YSS, Bamba I, N’Doumé C-TA (2015) Dynamique forestière post-conflits armés de la Forêt classée du Haut-Sassandra (Côte d’Ivoire). VertigO - la revue électronique en sciences de l’environnement

  • San-Miguel-Ayanz J, Schulte E, Schmuck G et al (2012) Comprehensive monitoring of wildfires in Europe: the European Forest Fire Information System (EFFIS). In: Tiefenbacher J (ed) Approaches to managing disaster—assessing hazards, emergencies and disaster impacts. InTech. https://doi.org/10.5772/1112

    Google Scholar 

  • Scott LM, Janikas MV (2010) Spatial statistics in ArcGIS. In: Fischer M, Getis A (eds) Handbook of applied spatial analysis. Springer, Heidelberg, pp 27–41

    Google Scholar 

  • Shandra JM (2007) The world polity and deforestation: a quantitative, cross-national analysis. Int J Comp Sociol 48:5–27

    Article  Google Scholar 

  • Sidamor Z, Lemtaouch L, Bensouici H (2016) The economic consequences of the political instability in Arab region. Procedia—Social and Behavioral Sciences 219:694–699. https://doi.org/10.1016/j.sbspro.2016.05.053

    Article  Google Scholar 

  • Torres AB, Enríquez RO, Skutsch M, Lovett JC (2013) Potential for climate change mitigation in degraded forests: a study from La Primavera, Mexico. Forests 4:1032–1054. https://doi.org/10.3390/f4041032

    Article  Google Scholar 

  • Wheeler D, Guzder-Williams B, Petersen R, Thau D (2018) Rapid MODIS-based detection of tree cover loss. Int J Appl Earth Obs Geoinformation 69:78–87

    Article  Google Scholar 

  • Wulder MA, Masek JG, Cohen WB, Loveland TR, Woodcock CE (2012) Opening the archive: how free data has enabled the science and monitoring promise of Landsat. Remote Sens Environ 122:2–10. https://doi.org/10.1016/j.rse.2012.01.010

    Article  Google Scholar 

  • Zhu Z, Woodcock CE (2014) Continuous change detection and classification of land cover using all available Landsat data. Remote Sens Environ 144:152–171. https://doi.org/10.1016/j.rse.2014.01.011

    Article  Google Scholar 

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Acknowledgments

We are grateful to Prof. Michael P. Peterson for enhancing the earlier draft of this manuscript. We also thank reviewers for their constructive comments to improve this paper.

Funding

This research was performed under the support of Silvo-pastoral Institute of Tabarka.

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Correspondence to Hammadi Achour.

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Achour, H., Toujani, A., Rzigui, T. et al. Forest Cover in Tunisia Before and After the 2011 Tunisian Revolution: a Spatial Analysis Approach. J geovis spat anal 2, 10 (2018). https://doi.org/10.1007/s41651-018-0017-7

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