Protected areas slow down tropical rainforest disturbance in the Leuser Ecosystem, Indonesia

References

• Abood, S.A., Lee, J.S.H., Burivalova, Z., Garcia-Ulloa, J., & Koh, L.P. (2015). Relative contributions of the logging, fiber, oil palm, and mining industries to forest loss in Indonesia. Conservation Letters, 8(1), 58–67. https://doi.org/10.1111/conl.12103
   Web of Science ®Google Scholar
• Akinyemi, F.O., Pontius, R.G., & Braimoh, A.K. (2017). Land change dynamics: Insights from intensity analysis applied to an African emerging city. Journal of Spatial Science, 62(1), 69–83. https://doi.org/10.1080/14498596.2016.1196624
   Web of Science ®Google Scholar
• Aldwaik, S.Z., & Pontius, R.G. (2012). Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition. Landscape and Urban Planning, 106(1), 103–114. https://doi.org/10.1016/j.landurbplan.2012.02.010
   Web of Science ®Google Scholar
• Aldwaik, S.Z., & Pontius, R.G,sJr. (2013). Map errors that could account for deviations from a uniform intensity of land change. International Journal of Geographical Information Science, 27(9), 1717–1739. https://doi.org/10.1080/13658816.2013.787618
   Web of Science ®Google Scholar
• Blackman, A., Pfaff, A., & Robalino, J. (2015). Paper park performance: Mexico’s natural protected areas in the 1990s. Global Environmental Change, 31, 50–61. https://doi.org/10.1016/j.gloenvcha.2014.12.004
   Web of Science ®Google Scholar
• Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32. https://doi.org/10.1023/A:1010933404324
   Web of Science ®Google Scholar
• Brun, C., Cook, A.R., Lee, J.S.H., Wich, S.A., Koh, L.P., & Carrasco, L.R. (2015). Analysis of deforestation and protected area effectiveness in Indonesia: A comparison of Bayesian spatial models. Global Environmental Change, 31, 285–295. https://doi.org/10.1016/j.gloenvcha.2015.02.004
   Web of Science ®Google Scholar
• Buchhorn, M., Smets, B., Bertels, L., Lesiv, M., Tsendbazar, N.-E., Masiliunas, D., Linlin, L., Herold, M., & Fritz, S. (2020). Copernicus global land service: Land cover 100m: Collection 3: Epoch 2015: Globe (Version V3.0.1). Remote Sensing, 12(1044), 1–14. https://doi.org/10.3390/rs12061044
   Google Scholar
• Chughtai, A.H., Abbasi, H., & Karas, I.R. (2021, February). A review on change detection method and accuracy assessment for land use land cover. Remote Sensing Applications: Society and Environment, 22, 100482. https://doi.org/10.1016/j.rsase.2021.100482
   Google Scholar
• Claudino-Sales, V. (2019). Tropical rainforest heritage of Sumatra, Indonesia . In Finkl, C.W. ed. Coastal world heritage sites (pp. 563–569). Springer. https://doi.org/10.1007/978-981-13-2538-0_2611
   Google Scholar
• Cochard, R. (2017). Scaling the costs of natural ecosystem degradation and biodiversity losses in Aceh Province, Sumatra. In Shivakoti, G.P., Pradhan, U, Helmi, eds. Redefining diversity and dynamics of natural resources management in Asia (Vol. 1 pp. 231–271). Elsevier Inc. https://doi.org/10.1016/B978-0-12-805454-3.00013-X
   Google Scholar
• Condro, A.A., Prasetyo, L.B., Rushayati, S.B., Santikayasa, I.P., & Iskandar, E. (2021a). Predicting hotspots and prioritizing protected areas for endangered primate species in Indonesia under changing climate. Biology, 10(2), 1–22. https://doi.org/10.3390/biology10020154
   Google Scholar
• Condro, A.A., Prasetyo, L.B., Rushayati, S.B., Santikayasa, I.P., & Iskandar, E. (2021b). Measuring metrics of climate change and its implication on the endangered mammal conservation in the Leuser Ecosystem. Frontiers in Environmental Science 9 , 713837. https://doi.org/10.3389/fenvs.2021.713837
   Web of Science ®Google Scholar
• Condro, A.A., Setiawan, Y., Prasetyo, L.B., Pramulya, R., & Siahaan, L. (2020). Retrieving the national main commodity maps in Indonesia based on high-resolution remotely sensed data using cloud computing platform. Land, 9(10), 1–15. https://doi.org/10.3390/land9100377
   Web of Science ®Google Scholar
• Cribari, V., Strager, M.P., Maxwell, A.E., & Yuill, C. (2021). Landscape changes in the southern coalfields of West Virginia: Multi-level intensity analysis and surface mining transitions in the headwaters of the coal river from 1976 to 2016. Land, 10(7), 748. https://doi.org/10.3390/land10070748
   Web of Science ®Google Scholar
• Cuenca, P., Arriagada, R., & Echeverría, C. (2016). How much deforestation do protected areas avoid in tropical Andean landscapes? Environmental Science & Policy, 56, 56–66. https://doi.org/10.1016/j.envsci.2015.10.014
   Web of Science ®Google Scholar
• Duveiller, G., Caporaso, L., Abad-Viñas, R., Perugini, L., Grassi, G., Arneth, A., & Cescatti, A. (2020). Local biophysical effects of land use and land cover change: Towards an assessment tool for policy makers. Land Use Policy, 91, 104382. November 2019 https://doi.org/10.1016/j.landusepol.2019.104382
   Web of Science ®Google Scholar
• Ekumah, B., Armah, F.A., Afrifa, E.K.A., Aheto, D.W., Odoi, J.O., & Afitiri, A.R. (2020). Assessing land use and land cover change in coastal urban wetlands of international importance in Ghana using intensity analysis. Wetlands Ecology and Management, 28(2), 271–284. https://doi.org/10.1007/s11273-020-09712-5
   Web of Science ®Google Scholar
• Fick, S.E., & Hijmans, R.J. (2017). WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302–4315. https://doi.org/10.1002/joc.5086
   Web of Science ®Google Scholar
• Gaveau, D.L.A., Epting, J., Lyne, O., Linkie, M., Kumara, I., Kanninen, M., & Leader-Williams, N. (2009). Evaluating whether protected areas reduce tropical deforestation in Sumatra. Journal of Biogeography, 36(11), 2165–2175. https://doi.org/10.1111/j.1365-2699.2009.02147.x
   Web of Science ®Google Scholar
• Gaveau, D.L.A.A., Wich, S., Epting, J., Juhn, D., Kanninen, M., & Leader-williams, N. (2009). The future of forests and orangutans (Pongo abelii) in Sumatra: Predicting impacts of oil palm plantations, road construction, and mechanisms for reducing carbon emissions from deforestation. Environmental Research Letters, 4(3), 034013. https://doi.org/10.1088/1748-9326/4/3/034013
   Web of Science ®Google Scholar
• Geldmann, J., Manica, A., Burgess, N.D., Coad, L., & Balmford, A. (2020). A global-level assessment of the effectiveness of protected areas at resisting anthropogenic pressures. Proceedings of the National Academy of Sciences of the United States of America, 117(41), 25945. https://doi.org/10.1073/pnas.2018968117
   PubMed Web of Science ®Google Scholar
• Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031
   Web of Science ®Google Scholar
• Graham, V., Geldmann, J., Adams, V.M., Negret, P.J., Sinovas, P., & Chang, H.-C. (2021). Southeast Asian protected areas are effective in conserving forest cover and forest carbon stocks compared to unprotected areas. Scientific Reports, 11(1), 23760. https://doi.org/10.1038/s41598-021-03188-w
   PubMed Web of Science ®Google Scholar
• Griffin, C., Ellis, D., Beavis, S., & Zoleta-Nantes, D. (2013). Coastal resources, livelihoods and the 2004 Indian Ocean tsunami in Aceh, Indonesia. Ocean & Coastal Management, 71, 176–186. https://doi.org/10.1016/j.ocecoaman.2012.10.017
   Web of Science ®Google Scholar
• Gu, C., Zhao, P., Chen, Q., Li, S., Li, L., Liu, L., & Zhang, Y. (2020). Forest cover change and the effectiveness of protected areas in the Himalaya since 1998. Sustainability (Switzerland), 12(15), 1–24. https://doi.org/10.3390/su12156123
   PubMed Web of Science ®Google Scholar
• Haight, J., & Hammill, E. (2020). Protected areas as potential refugia for biodiversity under climatic change. Biological Conservation, 241, 108258. November 2019 https://doi.org/10.1016/j.biocon.2019.108258
   Web of Science ®Google Scholar
• Hermon, D. (2016). Estimate of changes in carbon stocks based on land cover changes in the Leuser Ecosystem Area (LEA) Indonesia. Forum Geografi, 29(2), 188. https://doi.org/10.23917/forgeo.v29i2.1487
   Google Scholar
• Hirschmugl, M., Sobe, C., Deutscher, J., & Schardt, M. (2018). Combined use of optical and synthetic aperture radar data for REDD+ applications in Malawi. Land, 7(4), 1–17. https://doi.org/10.3390/land7040116
   Web of Science ®Google Scholar
• Ho, D.E., King, G., Stuart, E.A., & Imai, K. (2011). MatchIt : Nonparametric preprocessing for parametric causal inference. Journal Of Statistical Software, 42(8), 1–28. https://doi.org/10.18637/jss.v042.i08
   Web of Science ®Google Scholar
• Huang, F., Huang, B., Huang, J., & Li, S. (2018). Measuring land change in coastal zone around a rapidly urbanized bay. International Journal of Environmental Research and Public Health, 15(6), 1059. https://doi.org/10.3390/ijerph15061059
   PubMed Web of Science ®Google Scholar
• Jarvis, A., Reuter, H.I., Nelson, A., & Guevara, E. (2006). Hole-filled SRTM for the globe version 3, from the CGIAR-CSI SRTM 90m database Retrieved 1 1 2021. http://srtm.csi.cgiar.org
   Google Scholar
• Joppa, L.N., & Pfaff, A. (2009). High and far: Biases in the location of protected areas. PLoS ONE, 4(12), 1–6. https://doi.org/10.1371/journal.pone.0008273
   Web of Science ®Google Scholar
• Kennedy, C.M., Oakleaf, J.R., Theobald, D.M., Baruch-Mordo, S., & Kiesecker, J. (2019). Managing the middle: A shift in conservation priorities based on the global human modification gradient. Global Change Biology, 25(3), 811–826. https://doi.org/10.1111/gcb.14549
   PubMed Web of Science ®Google Scholar
• Kinnaird, M.F., Sanderson, E.W., O’Brien, T.G., Wibisono, H.T., & Woolmer, G. (2003). Deforestation trends in a tropical landscape and implications for endangered large mammals. Conservation Biology, 17(1), 245–257. https://doi.org/10.1046/j.1523-1739.2003.02040.x
   Web of Science ®Google Scholar
• Koh, L.P., Miettinen, J., Liew, S.C., & Ghazoul, J. (2011). Remotely sensed evidence of tropical peatland conversion to oil palm. Proceedings of the National Academy of Sciences of the United States of America, 108(12), 5127–5132. https://doi.org/10.1073/pnas.1018776108
   PubMed Web of Science ®Google Scholar
• Lambin, E.F., & Meyfroidt, P. (2011). Global land use change, economic globalization, and the looming land scarcity. Proceedings of the National Academy of Sciences of the United States of America, 108(9), 3465–3472. https://doi.org/10.1073/pnas.1100480108
   PubMed Web of Science ®Google Scholar
• Laurance, W.F., Goosem, M., & Laurance, S.G.W. (2009). Impacts of roads and linear clearings on tropical forests. Trends in Ecology & Evolution, 24(12), 659–669. https://doi.org/10.1016/j.tree.2009.06.009
   PubMed Web of Science ®Google Scholar
• Le Saout, S., Hoffmann, M., Shi, Y., Hughes, A., Bernard, C., Brooks, T.M., Bertzky, B., Butchart, S.H.M., Stuart, S.N., Badman, T., & Rodrigues, A.S.L. (2013). Protected areas and effective biodiversity conservation. Science, 342(6160), 803–805. https://doi.org/10.1126/science.1239268
   PubMed Web of Science ®Google Scholar
• Linkie, M., Haidir, I.A., Nugroho, A., & Dinata, Y. (2008). Conserving tigers Panthera Tigris in selectively logged Sumatran forests. Biological Conservation, 141(9), 2410–2415. https://doi.org/10.1016/j.biocon.2008.07.002
   Web of Science ®Google Scholar
• Magioli, M., Magioli, M., Rios, E., Benchimol, M., Cavenague, D., Angelo, L., Narezi, G., Ot, M., Mendes, M., Nobre, R.D.A., Chiarello, A.G., García-olaechea, A., Bellotto, A., Cantagallo, C., Righetto, C., Henrique, D., Del, C., Koike, V., S, C.S., & Zuccolotto, S. (2021). The role of protected and unprotected forest remnants for mammal conservation in a megadiverse Neotropical hotspot. Biological Conservation 259 , 109173. https://doi.org/10.1016/j.biocon.2021.109173
   Web of Science ®Google Scholar
• Margono, B.A., Potapov, P.V., Turubanova, S., Stolle, F., & Hansen, M.C. (2014). Primary forest cover loss in Indonesia over 2000-2012. Nature Climate Change, 4(8), 730–735. https://doi.org/10.1038/nclimate2277
   Web of Science ®Google Scholar
• Margono, B.A., Turubanova, S., Zhuravleva, I., Potapov, P., Tyukavina, A., Baccini, A., Goetz, S., & Hansen, M.C. (2012). Mapping and monitoring deforestation and forest degradation in Sumatra (Indonesia) using Landsat time series data sets from 1990 to 2010. Environmental Research Letters, 7(3), 2000–2010. https://doi.org/10.1088/1748-9326/7/3/034010
   Web of Science ®Google Scholar
• Mendoza-Ponce, A., Corona-Núñez, R., Kraxner, F., Leduc, S., & Patrizio, P. (2018). Identifying effects of land use cover changes and climate change on terrestrial ecosystems and carbon stocks in Mexico. Global Environmental Change, 53, 12–23. December 2017 https://doi.org/10.1016/j.gloenvcha.2018.08.004
   Web of Science ®Google Scholar
• Muenchow, J., Schäfer, S., & Krüger, E. (2019). Reviewing qualitative GIS research—Toward a wider usage of open-source GIS and reproducible research practices. Geography Compass, 13(6), 1–17. https://doi.org/10.1111/gec3.12441
   Web of Science ®Google Scholar
• Naboureh, A., Bian, J., Lei, G., & Li, A. (2021). A review of land use/land cover change mapping in the China-Central Asia-West Asia economic corridor countries. Big Earth Data, 5(2), 237–257. https://doi.org/10.1080/20964471.2020.1842305
   Google Scholar
• Nelson, A., & Chomitz, K.M. (2011). Effectiveness of strict vs. multiple use protected areas in reducing tropical forest fires: A global analysis using matching methods. PLoS ONE, 6(8), e22722. https://doi.org/10.1371/journal.pone.0022722
   PubMed Web of Science ®Google Scholar
• Nyamekye, C., Kwofie, S., Ghansah, B., Agyapong, E., & Boamah, L.A. (2020, April). Assessing urban growth in Ghana using machine learning and intensity analysis: A case study of the New Juaben municipality. Land Use Policy, 99, 105057. https://doi.org/10.1016/j.landusepol.2020.105057
   Web of Science ®Google Scholar
• Oldekop, J.A., Sims, K.R.E., Karna, B.K., Whittingham, M.J., & Agrawal, A. (2019). Reductions in deforestation and poverty from decentralized forest management in Nepal. Nature Sustainability, 2(5), 421–428. https://doi.org/10.1038/s41893-019-0277-3
   Web of Science ®Google Scholar
• Oliphant, A.J., Thenkabail, P.S., Teluguntla, P., Xiong, J., Gumma, M.K., Congalton, R.G., & Yadav, K. (2019). Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth engine cloud. International Journal of Applied Earth Observation and Geoinformation, 81, 110–124. November 2018 https://doi.org/10.1016/j.jag.2018.11.014
   Web of Science ®Google Scholar
• Olson, D.M., Dinerstein, E., Wikramanayake, E.D., Burgess, N.D., Powell, G.V.N., Underwood, E.C., D’Amico, J.A., Itoua, I., Strand, H.E., Morrison, J.C., Loucks, C.J., Allnutt, T.F., Ricketts, T.H., Kura, Y., Lamoreux, J.F., Wettengel, W.W., Hedao, P., & Kassem, K.R. (2001). Terrestrial ecoregions of the world: A new map of life on Earth. BioScience, 51(11), 933–938.
   Web of Science ®Google Scholar
• Page, S.E., Rieley, J.O., & Banks, C.J. (2011). Global and regional importance of the tropical peatland carbon pool. Global Change Biology, 17(2), 798–818. https://doi.org/10.1111/j.1365-2486.2010.02279.x
   Web of Science ®Google Scholar
• Pontius, R.G. (2019). Component intensities to relate difference by category with difference overall. International Journal of Applied Earth Observation and Geoinformation, 77, 94–99. https://doi.org/10.1016/j.jag.2018.07.024
   Web of Science ®Google Scholar
• Pontius, R.G., Millones, M., Pontius, R., Gilmore, J., Millones, M., Pontius, R.G., & Millones, M. (2011). Death to Kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing, 32(15), 4407–4429. https://doi.org/10.1080/01431161.2011.552923
   Web of Science ®Google Scholar
• Pontius, R.G., & Santacruz, A. (2014). Quantity, exchange, and shift components of difference in a square contingency table. International Journal of Remote Sensing, 35(21), 7543–7554. https://doi.org/10.1080/2150704X.2014.969814
   Web of Science ®Google Scholar
• Poor, E.E., Jati, V.I.M., Imron, M.A., & Kelly, M.J. (2019). The road to deforestation: Edge effects in an endemic ecosystem in Sumatra, Indonesia. PLoS ONE, 14(7), 1–13. https://doi.org/10.1371/journal.pone.0217540
   Web of Science ®Google Scholar
• Prasetyo, L.B., Kunfaznu, M., & Kumazaki, M. (1995). Land-use changes and their causes in the tropics : A case study in South Sumatra, Indonesia in 1969-1988. Tropics, 5(1991), 115–128. https://doi.org/10.3759/tropics.5.115
   Google Scholar
• Quan, B., Bai, Y., Römkens, M.J.M., Chang, K.T., song, H., Guo, T., & Lei, S. (2015). Urban land expansion in Quanzhou City, China, 1995-2010. Habitat International, 48, 131–139. https://doi.org/10.1016/j.habitatint.2015.03.021
   Web of Science ®Google Scholar
• Quan, B., Pontius, R.G., & Song, H. (2019). Intensity analysis to communicate land change during three time intervals in two regions of Quanzhou City, China. GIScience and Remote Sensing, 57(1), 21–36. https://doi.org/10.1080/15481603.2019.1658420
   Web of Science ®Google Scholar
• Quan, B., Ren, H., Pontius, R.G., & Liu, P. (2018). Quantifying spatiotemporal patterns concerning land change in Changsha, China. Landscape and Ecological Engineering, 14(2), 257–267. https://doi.org/10.1007/s11355-018-0349-y
   Web of Science ®Google Scholar
• Reboredo Segovia, A.L., Romano, D., & Armsworth, P.R. (2020). Who studies where? Boosting tropical conservation research where it is most needed. Frontiers in Ecology and the Environment, 18(3), 159–166. https://doi.org/10.1002/fee.2146
   Web of Science ®Google Scholar
• Rogan, J., & Chen, D.M. (2004). Remote sensing technology for mapping and monitoring land-cover and land-use change. Progress in Planning, 61(4), 301–325. https://doi.org/10.1016/S0305-9006(03)00066-7
   Web of Science ®Google Scholar
• Schleicher, J., Eklund, J.D., Barnes, M., Geldmann, J., Oldekop, J.A., & Jones, J.P.G. (2020). Statistical matching for conservation science. Conservation Biology, 34(3), 538–549. https://doi.org/10.1111/cobi.13448
   PubMed Web of Science ®Google Scholar
• Schleicher, J., Peres, C.A., Amano, T., Llactayo, W., & Leader-Williams, N. (2017). Conservation performance of different conservation governance regimes in the Peruvian Amazon. Scientific Reports, 7(1), 1–10. https://doi.org/10.1038/s41598-017-10736-w
   PubMedGoogle Scholar
• Sloan, S. (2014). Indonesia’s moratorium on new forest licenses: An update. Land Use Policy, 38, 37–40. https://doi.org/10.0.3.248/j.landusepol.2013.10.018
   Web of Science ®Google Scholar
• Sloan, S., Alamgir, M., Campbell, M.J., Setyawati, T., & Laurance, W.F. (2019). Development corridors and Remnant-forest conservation in Sumatra, Indonesia. Tropical Conservation Science, 12(1), 1–9. https://doi.org/10.1177/1940082919889509
   Google Scholar
• Sloan, S., Campbell, M.J., Alamgir, M., Collier-Baker, E., Nowak, M.G., Usher, G., & Laurance, W.F. (2018). Infrastructure development and contested forest governance threaten the Leuser Ecosystem, Indonesia. Land Use Policy, 77, 298–309. December 2017 https://doi.org/10.1016/j.landusepol.2018.05.043
   Web of Science ®Google Scholar
• Song, X.P., Hansen, M.C., Stehman, S.V., Potapov, P.V., Tyukavina, A., Vermote, E.F., & Townshend, J.R. (2018). Global land change from 1982 to 2016. Nature, 560(7720), 639–643. https://doi.org/10.1038/s41586-018-0411-9
   PubMed Web of Science ®Google Scholar
• Struebig, M.J., Fischer, M., Gaveau, D.L.A., Meijaard, E., Wich, S.A., Gonner, C., Sykes, R., Wilting, A., & Kramer-Schadt, S. (2015). Anticipated climate and land-cover changes reveal refuge areas for Borneo’s orang-utans. Global Change Biology, 21(8), 2891–2904. https://doi.org/10.1111/gcb.12814
   PubMed Web of Science ®Google Scholar
• UNEP-WCMC and IUCN. (2020). Protected planet: the world database on protected areas (WDPA). www.protectedplanet.net
   Google Scholar
• Varga, O.G., Pontius, R.G., Singh, S.K., & Szabó, S. (2019). Intensity Analysis and the Figure of Merit’s components for assessment of a Cellular Automata – Markov simulation model. Ecological Indicators, 101, 933–942. February 2018 https://doi.org/10.1016/j.ecolind.2019.01.057
   Web of Science ®Google Scholar
• Warren, M., Hergoualc’h, K., Kauffman, J.B., Murdiyarso, D., & Kolka, R. (2017). An appraisal of Indonesia’s immense peat carbon stock using national peatland maps: Uncertainties and potential losses from conversion. Carbon Balance and Management, 12(1), 1–12. https://doi.org/10.1186/s13021-017-0080-2
   PubMedGoogle Scholar
• Weiskopf, S.R., McCarthy, J.L., McCarthy, K.P., Shiklomanov, A.N., Wibisono, H.T., & Pusparini, W. (2019). The conservation value of forest fragments in the increasingly agrarian landscape of Sumatra. Environmental Conservation, May, 46(4), 340–346. https://doi.org/10.1017/S0376892919000195
   Web of Science ®Google Scholar
• Wich, S.A., Singleton, I., Nowak, M.G., Atmoko, S.S.U., Nisam, G., Arif, S.M., Putra, R.H., Ardi, R., Fredriksson, G., Usher, G., Gaveau, D.L.A., & Kühl, H.S. (2016). Land-cover changes predict steep declines for the Sumatran orangutan (Pongo abelii). Science Advances, 2(3), 1–9. https://doi.org/10.1126/sciadv.1500789
   Web of Science ®Google Scholar
• Xie, Z., Pontius Jr, R.G., Huang, J., & Nitivattananon, V. (2020). Enhanced intensity analysis to quantify categorical change and to identify suspicious land transitions: A case study of Nanchang, China. Remote Sensing, 12(20), 1–16. https://doi.org/10.3390/rs12203323
   Web of Science ®Google Scholar
• Yarrow Robertson, J.M., & Van Schaik, C.P. (2001). Causal factors underlying the dramatic decline of the Sumatran orang-utan. Oryx, 35(1), 26–38. https://doi.org/10.1046/j.1365-3008.2001.00149.x
   Web of Science ®Google Scholar
• Yohannes, H., Soromessa, T., Argaw, M., & Dewan, A. (2020). Changes in landscape composition and configuration in the Beressa watershed, Blue Nile basin of Ethiopian Highlands: Historical and future exploration. Heliyon, 6(9), e04859. https://doi.org/10.1016/j.heliyon.2020.e04859
   PubMed Web of Science ®Google Scholar
• Zhao, X., Pu, J., Wang, X., Chen, J., Yang, L.E., & Gu, Z. (2018). Land-use spatio-temporal change and its driving factors in an artificial forest area in Southwest China. Sustainability, 10(11), 1–19. https://doi.org/10.3390/su10114066
   Web of Science ®Google Scholar