Modelling the impact of climate change on Tanzanian forests

Aim Climate change is pressing extra strain on the already degraded forest ecosystem in Tanzania. However, it is mostly unknown how climate change will affect the distribution of forests in the future. We aimed to model the impacts of climate change on natural forests to help inform national‐level c...

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Published inDiversity & distributions Vol. 26; no. 12; pp. 1663 - 1686
Main Authors John, Elikana, Bunting, Pete, Hardy, Andy, Roberts, Osian, Giliba, Richard, Silayo, Dos Santos
Format Journal Article
LanguageEnglish
Published Oxford Wiley 01.12.2020
John Wiley & Sons, Inc
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Abstract Aim Climate change is pressing extra strain on the already degraded forest ecosystem in Tanzania. However, it is mostly unknown how climate change will affect the distribution of forests in the future. We aimed to model the impacts of climate change on natural forests to help inform national‐level conservation and mitigation strategies. Location Tanzania. Methods We conducted maximum entropy (MaxEnt) modelling to simulate forest habitat suitability using the Tanzanian national forest inventory survey (1,307 occurrences) and environmental data. Changes in forest habitats were simulated under two Representative Concentration Pathways (RCPs) emission scenarios RCP 4.5 and RCP 8.5 for 2055 and 2085. Results The results indicate that climate change will threaten forest communities, especially fragmented strips of montane forests. Even under optimistic emission scenario, the extent of montane forest is projected to almost halve by 2085, intersecting many biodiversity hotspots across the Eastern Arc Mountains. Similarly, climate change is predicted to threaten microhabitat forests (i.e. thickets), with losses exceeding 70% by 2085 (RCP8.5). Other forest habitats are predicted to decrease (lowland forest and woodland) representing essential ecological networks, whereas suitable habitats for carbon‐rich mangroves are predicted to expand by more than 40% at both scenarios. Conclusions Climate change will impact forests by accelerating habitat loss, and fragmentation and the remaining land suitable for forests will also be subject to pressures associated with rising demand for food and biofuels. These changes are likely to increase the probability of adverse impacts to the country's indigenous flora and fauna. Our findings, therefore, call for a shift in conservation efforts, focusing on (i) the enhanced management of existing protected areas that can absorb the impacts of future climate change, and (ii) expanding conservation efforts into newly suitable regions through effective land use planning and land reclamation, helping to preserve and enhance forest connectivity between fragmented patches.
AbstractList Aim Climate change is pressing extra strain on the already degraded forest ecosystem in Tanzania. However, it is mostly unknown how climate change will affect the distribution of forests in the future. We aimed to model the impacts of climate change on natural forests to help inform national‐level conservation and mitigation strategies. Location Tanzania. Methods We conducted maximum entropy (MaxEnt) modelling to simulate forest habitat suitability using the Tanzanian national forest inventory survey (1,307 occurrences) and environmental data. Changes in forest habitats were simulated under two Representative Concentration Pathways (RCPs) emission scenarios RCP 4.5 and RCP 8.5 for 2055 and 2085. Results The results indicate that climate change will threaten forest communities, especially fragmented strips of montane forests. Even under optimistic emission scenario, the extent of montane forest is projected to almost halve by 2085, intersecting many biodiversity hotspots across the Eastern Arc Mountains. Similarly, climate change is predicted to threaten microhabitat forests (i.e. thickets), with losses exceeding 70% by 2085 (RCP8.5). Other forest habitats are predicted to decrease (lowland forest and woodland) representing essential ecological networks, whereas suitable habitats for carbon‐rich mangroves are predicted to expand by more than 40% at both scenarios. Conclusions Climate change will impact forests by accelerating habitat loss, and fragmentation and the remaining land suitable for forests will also be subject to pressures associated with rising demand for food and biofuels. These changes are likely to increase the probability of adverse impacts to the country's indigenous flora and fauna. Our findings, therefore, call for a shift in conservation efforts, focusing on (i) the enhanced management of existing protected areas that can absorb the impacts of future climate change, and (ii) expanding conservation efforts into newly suitable regions through effective land use planning and land reclamation, helping to preserve and enhance forest connectivity between fragmented patches.
AimClimate change is pressing extra strain on the already degraded forest ecosystem in Tanzania. However, it is mostly unknown how climate change will affect the distribution of forests in the future. We aimed to model the impacts of climate change on natural forests to help inform national‐level conservation and mitigation strategies.LocationTanzania.MethodsWe conducted maximum entropy (MaxEnt) modelling to simulate forest habitat suitability using the Tanzanian national forest inventory survey (1,307 occurrences) and environmental data. Changes in forest habitats were simulated under two Representative Concentration Pathways (RCPs) emission scenarios RCP 4.5 and RCP 8.5 for 2055 and 2085.ResultsThe results indicate that climate change will threaten forest communities, especially fragmented strips of montane forests. Even under optimistic emission scenario, the extent of montane forest is projected to almost halve by 2085, intersecting many biodiversity hotspots across the Eastern Arc Mountains. Similarly, climate change is predicted to threaten microhabitat forests (i.e. thickets), with losses exceeding 70% by 2085 (RCP8.5). Other forest habitats are predicted to decrease (lowland forest and woodland) representing essential ecological networks, whereas suitable habitats for carbon‐rich mangroves are predicted to expand by more than 40% at both scenarios.ConclusionsClimate change will impact forests by accelerating habitat loss, and fragmentation and the remaining land suitable for forests will also be subject to pressures associated with rising demand for food and biofuels. These changes are likely to increase the probability of adverse impacts to the country's indigenous flora and fauna. Our findings, therefore, call for a shift in conservation efforts, focusing on (i) the enhanced management of existing protected areas that can absorb the impacts of future climate change, and (ii) expanding conservation efforts into newly suitable regions through effective land use planning and land reclamation, helping to preserve and enhance forest connectivity between fragmented patches.
AIM: Climate change is pressing extra strain on the already degraded forest ecosystem in Tanzania. However, it is mostly unknown how climate change will affect the distribution of forests in the future. We aimed to model the impacts of climate change on natural forests to help inform national‐level conservation and mitigation strategies. LOCATION: Tanzania. METHODS: We conducted maximum entropy (MaxEnt) modelling to simulate forest habitat suitability using the Tanzanian national forest inventory survey (1,307 occurrences) and environmental data. Changes in forest habitats were simulated under two Representative Concentration Pathways (RCPs) emission scenarios RCP 4.5 and RCP 8.5 for 2055 and 2085. RESULTS: The results indicate that climate change will threaten forest communities, especially fragmented strips of montane forests. Even under optimistic emission scenario, the extent of montane forest is projected to almost halve by 2085, intersecting many biodiversity hotspots across the Eastern Arc Mountains. Similarly, climate change is predicted to threaten microhabitat forests (i.e. thickets), with losses exceeding 70% by 2085 (RCP8.5). Other forest habitats are predicted to decrease (lowland forest and woodland) representing essential ecological networks, whereas suitable habitats for carbon‐rich mangroves are predicted to expand by more than 40% at both scenarios. CONCLUSIONS: Climate change will impact forests by accelerating habitat loss, and fragmentation and the remaining land suitable for forests will also be subject to pressures associated with rising demand for food and biofuels. These changes are likely to increase the probability of adverse impacts to the country's indigenous flora and fauna. Our findings, therefore, call for a shift in conservation efforts, focusing on (i) the enhanced management of existing protected areas that can absorb the impacts of future climate change, and (ii) expanding conservation efforts into newly suitable regions through effective land use planning and land reclamation, helping to preserve and enhance forest connectivity between fragmented patches.
Author Hardy, Andy
Giliba, Richard
Bunting, Pete
Silayo, Dos Santos
John, Elikana
Roberts, Osian
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Cites_doi 10.1126/science.1155121
10.1111/j.1654-1103.2012.01456.x
10.1073/pnas.0910275107
10.1111/aje.12180
10.1890/10-1171.1
10.1016/j.ecolmodel.2013.12.012
10.1111/jvs.12639
10.1017/S0959270900003348
10.1080/10549811.2017.1416477
10.1111/2041-210X.13140
10.1111/j.1365-2664.2006.01149.x
10.1007/s40641-015-0002-x
10.1007/s10584-011-0153-2
10.1111/ecog.03049
10.1016/j.sajb.2015.02.004
10.1016/j.ecss.2007.08.024
10.1007/s10531-018-1578-y
10.17159/sajs.2015/20140280
10.1016/j.envsci.2012.01.005
10.1111/ddi.12736
10.1111/2041-210X.12200
10.1186/s40663-018-0151-1
10.1130/G34646.1
10.1126/science.1244693
10.1186/s13071-015-1046-4
10.1038/nature08823
10.1002/ece3.2846
10.1038/35002501
10.1111/j.1600-0587.2013.07872.x
10.1007/s10113-015-0910-2
10.1371/journal.pone.0177678
10.1111/ddi.12099
10.1515/jlecol-2017-0013
10.1111/cobi.12918
10.1080/14004080500486989
10.1126/sciadv.1400103
10.1111/j.1523-1739.2005.00204.x
10.1038/nclimate3303
10.1139/cjfr-2013-0490
10.1016/0961-9534(95)00045-3
10.1371/journal.pone.0146728
10.1007/s10584-011-0149-y
10.1111/j.1744-7429.2006.00195.x
10.1111/rec.12512
10.1016/j.ecolmodel.2005.03.026
10.1111/j.1600-0587.2012.07348.x
10.1371/journal.pone.0081931
10.1111/j.1541-0420.2012.01824.x
10.1111/j.1365-2028.2009.01148.x
10.1016/j.rse.2014.02.015
10.1175/EI137.1
10.3390/f9050259
10.1016/S0378-1127(97)00026-1
10.1016/j.biocon.2013.08.027
10.1111/gcb.12869
10.1371/journal.pone.0125814
10.3390/f6114328
10.1111/j.1365-2699.2009.02174.x
10.1016/S0378-1127(01)00511-4
10.4155/cmt.12.20
10.1088/1748-9326/10/2/021001
10.1038/nclimate2448
10.1017/S0376892997000088
10.1016/j.cageo.2013.08.007
10.1016/j.ecolmodel.2008.06.028
10.1016/S0012-8252(01)00056-3
10.1126/science.1168475
10.1111/j.1600-0587.2013.00138.x
10.1098/rspb.2007.1732
10.1016/j.atmosenv.2017.10.019
10.1016/j.gloplacha.2008.01.008
10.1007/s10530-016-1118-1
10.1111/brv.12222
10.1890/13-1015.1
10.1111/gcb.12586
10.1111/gcb.13925
10.1080/01431161.2011.552923
10.1016/j.jaridenv.2014.05.014
10.1371/journal.pone.0135152
10.1111/gcb.12930
10.1007/978-94-017-2730-3
10.1111/j.1523-1739.2005.00273.x
10.1007/s10584-011-0148-z
10.1016/j.foreco.2019.02.041
10.1111/j.2006.0906-7590.04596.x
10.1590/0001-3765201520150055
10.1111/gcb.14709
10.1177/194008291200500405
10.1111/ecog.02880
10.1007/s10764-006-9037-0
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References 2017; 40
2017; 7
2017; 41
2013; 69
2010; 107
2013; 24
2019; 10
2006; 38
2015; 101
2013; 167
2010; 463
2014; 24
2008; 76
2014; 62
2013; 8
2019; 440
2014; 20
2013; 19
2018; 9
2017; 31
2014; 5
1997; 95
2006; 20
2018; 5
2017; 37
2000
2006; 21
2000; 403
2006; 27
2019; 25
2015; 87
2006; 29
2011; 21
2008; 64
2001; 55
2008; 275
2009; 324
2015; 1
2018; 29
2015; 6
2015; 5
2011
2017; 25
2006; 10
2015; 53
2017; 24
1997; 24
2015; 10
2013; 41
1998
2013; 342
1996
2017; 171
2011; 32
2005
2004
2002
2014; 275
2016; 18
2012; 36
2008; 320
2016; 17
2015; 8
1999; 5
2018; 27
2014; 44
1995; 8
1999; 9
2018; 24
2016; 11
2001; 154
2009; 36
2011; 109
2005; 19
2012; 3
2013; 36
2010; 48
2017; 92
2006; 43
2006; 190
2015; 111
2015; 112
2017; 10
2017; 12
2015; 21
2008; 218
2017
2015
2014
2012; 19–20
2013
2012; 5
2014; 148
e_1_2_8_26_1
e_1_2_8_49_1
e_1_2_8_68_1
e_1_2_8_9_1
MNRT (e_1_2_8_56_1) 2015
e_1_2_8_22_1
IPCC (e_1_2_8_42_1) 2014
e_1_2_8_64_1
e_1_2_8_87_1
e_1_2_8_41_1
e_1_2_8_60_1
e_1_2_8_83_1
Chidumayo E. (e_1_2_8_17_1) 2011
Ochieng C. A. (e_1_2_8_67_1) 2002
e_1_2_8_19_1
e_1_2_8_38_1
e_1_2_8_57_1
e_1_2_8_91_1
e_1_2_8_95_1
e_1_2_8_99_1
e_1_2_8_105_1
e_1_2_8_11_1
e_1_2_8_34_1
e_1_2_8_53_1
e_1_2_8_76_1
e_1_2_8_101_1
e_1_2_8_30_1
Montagnini F. (e_1_2_8_59_1) 2005
e_1_2_8_29_1
e_1_2_8_25_1
e_1_2_8_48_1
e_1_2_8_2_1
e_1_2_8_6_1
e_1_2_8_21_1
e_1_2_8_44_1
e_1_2_8_86_1
e_1_2_8_40_1
e_1_2_8_18_1
e_1_2_8_14_1
Phillips S. J. (e_1_2_8_72_1) 2005
e_1_2_8_37_1
e_1_2_8_79_1
Riley S. J. (e_1_2_8_82_1) 1999; 5
e_1_2_8_94_1
e_1_2_8_90_1
e_1_2_8_98_1
Hofer H. (e_1_2_8_39_1) 2004
e_1_2_8_10_1
e_1_2_8_33_1
e_1_2_8_75_1
e_1_2_8_71_1
e_1_2_8_28_1
e_1_2_8_24_1
e_1_2_8_47_1
Watling J. I. (e_1_2_8_102_1) 2013
e_1_2_8_3_1
e_1_2_8_81_1
e_1_2_8_7_1
e_1_2_8_20_1
e_1_2_8_43_1
e_1_2_8_66_1
e_1_2_8_89_1
Burgess N. (e_1_2_8_15_1) 2004
e_1_2_8_62_1
e_1_2_8_85_1
e_1_2_8_13_1
e_1_2_8_36_1
Batjes N. H. (e_1_2_8_5_1) 2004
e_1_2_8_70_1
e_1_2_8_97_1
e_1_2_8_32_1
e_1_2_8_55_1
e_1_2_8_78_1
e_1_2_8_51_1
e_1_2_8_74_1
e_1_2_8_103_1
e_1_2_8_93_1
e_1_2_8_46_1
e_1_2_8_27_1
e_1_2_8_69_1
e_1_2_8_80_1
e_1_2_8_4_1
e_1_2_8_8_1
e_1_2_8_88_1
e_1_2_8_23_1
e_1_2_8_65_1
e_1_2_8_84_1
Medley K. E. (e_1_2_8_52_1) 1996
e_1_2_8_61_1
e_1_2_8_35_1
Kimball K. D. (e_1_2_8_45_1) 2000
e_1_2_8_16_1
e_1_2_8_58_1
e_1_2_8_92_1
e_1_2_8_96_1
e_1_2_8_100_1
NBS (e_1_2_8_63_1) 2017
e_1_2_8_31_1
e_1_2_8_77_1
e_1_2_8_12_1
e_1_2_8_54_1
e_1_2_8_73_1
e_1_2_8_50_1
e_1_2_8_104_1
References_xml – volume: 62
  start-page: 216
  year: 2014
  end-page: 226
  article-title: The remote sensing and GIS software library (RSGISLib)
  publication-title: Computers & Geosciences
– year: 2011
– volume: 29
  start-page: 129
  issue: 2
  year: 2006
  end-page: 151
  article-title: Novel methods improve prediction of species’ distributions from occurrence data
  publication-title: Ecography
– volume: 109
  start-page: 117
  issue: 1–2
  year: 2011
  end-page: 161
  article-title: Harmonization of land‐use scenarios for the period 15002100: 600 years of global gridded annual land‐use transitions wood harvest, and resulting secondary lands
  publication-title: Climatic Change
– volume: 463
  start-page: 747
  issue: 7282
  year: 2010
  end-page: 756
  article-title: The next generation of scenarios for climate change research and assessment
  publication-title: Nature
– volume: 275
  start-page: 73
  year: 2014
  end-page: 77
  article-title: Spatial filtering to reduce sampling bias can improve the performance of ecological niche models
  publication-title: Ecological Modelling
– volume: 167
  start-page: 283
  year: 2013
  end-page: 291
  article-title: Modelling individual and collective species responses to climate change within Small Island States
  publication-title: Biological Conservation
– volume: 20
  start-page: 122
  issue: 1
  year: 2006
  end-page: 134
  article-title: A 16‐Year Study of Forest Disturbance and Understory Bird Community Structure and Composition in Tanzania
  publication-title: Conservation Biology
– volume: 36
  start-page: 2290
  issue: 12
  year: 2009
  end-page: 2299
  article-title: Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models
  publication-title: Journal of Biogeography
– volume: 55
  start-page: 73
  issue: 1–2
  year: 2001
  end-page: 106
  article-title: The potential negative impacts of global climate change on tropical montane cloud forests
  publication-title: Earth‐Science Reviews
– year: 2005
– volume: 92
  start-page: 169
  issue: 1
  year: 2017
  end-page: 187
  article-title: Spatial predictions at the community level: From current approaches to future frameworks
  publication-title: Biological Reviews
– volume: 19
  start-page: 1488
  issue: 5
  year: 2005
  end-page: 1497
  article-title: Habitat Suitability Models and the Shortfall in Conservation Planning for African Vertebrates
  publication-title: Conservation Biology
– volume: 36
  start-page: 1058
  issue: 10
  year: 2013
  end-page: 1069
  article-title: A practical guide to MaxEnt for modeling species’ distributions: What it does and why inputs and settings matter
  publication-title: Ecography
– volume: 24
  start-page: 1150
  issue: 3
  year: 2017
  end-page: 1163
  article-title: How much does climate change threaten European forest tree species distributions?
  publication-title: Global Change Biology
– volume: 8
  start-page: 1
  issue: 1
  year: 2015
  end-page: 15
  article-title: Climate suitability for European ticks: Assessing species distribution models against null models and projection under AR5 climate
  publication-title: Parasites & Vectors
– volume: 95
  start-page: 209
  issue: 3
  year: 1997
  end-page: 228
  article-title: A generalised model of forest productivity using simplified concepts of radiation‐use efficiency carbon balance and partitioning
  publication-title: Forest Ecology and Management
– volume: 12
  issue: 6
  year: 2017
  article-title: Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
  publication-title: PLoS One
– volume: 21
  start-page: 3267
  issue: 9
  year: 2015
  end-page: 3277
  article-title: Cascading effects of climate extremes on vertebrate fauna through changes to low‐latitude tree flowering and fruiting phenology
  publication-title: Global Change Biology
– year: 2014
– volume: 21
  start-page: 3005
  issue: 8
  year: 2015
  end-page: 3020
  article-title: Modelling both dominance and species distribution provides a more complete picture of changes to mangrove ecosystems under climate change
  publication-title: Global Change Biology
– year: 1998
– volume: 20
  start-page: 2505
  issue: 8
  year: 2014
  end-page: 2517
  article-title: Hotspots of climate change impacts in sub‐Saharan Africa and implications for adaptation and development
  publication-title: Global Change Biology
– volume: 41
  start-page: 291
  issue: 2
  year: 2017
  end-page: 307
  article-title: ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling
  publication-title: Ecography
– volume: 24
  start-page: 269
  issue: 2
  year: 2013
  end-page: 283
  article-title: Shifts of forest species along an elevational gradient in Southeast France: Climate change or stand maturation?
  publication-title: Journal of Vegetation Science
– volume: 27
  start-page: 675
  issue: 3
  year: 2006
  end-page: 697
  article-title: Abundance of Diurnal Primates in Mwanihana Forest Udzungwa Mountains
  publication-title: Tanzania. International Journal of Primatology
– volume: 10
  issue: 6
  year: 2015
  article-title: Mapping soil properties of Africa at 250 m resolution: Random forests significantly improve current predictions
  publication-title: PLoS One
– volume: 3
  start-page: 313
  issue: 3
  year: 2012
  end-page: 322
  article-title: Carbon sequestration in mangrove forests
  publication-title: Carbon Management
– volume: 440
  start-page: 208
  year: 2019
  end-page: 257
  article-title: Bayesian calibration of a carbon balance model PREBAS using data from permanent growth experiments and national forest inventory
  publication-title: Forest Ecology and Management
– volume: 109
  start-page: 33
  issue: 1–2
  year: 2011
  end-page: 57
  article-title: RCP 8.5A scenario of comparatively high greenhouse gas emissions
  publication-title: Climatic Change
– volume: 25
  start-page: 2931
  issue: 9
  year: 2019
  end-page: 2946
  article-title: Effects of climate and land‐use change scenarios on fire probability during the 21st century in the Brazilian Amazon
  publication-title: Global Change Biology
– volume: 17
  start-page: 1585
  issue: 6
  year: 2016
  end-page: 1600
  article-title: Climate change impacts in Sub‐Saharan Africa: From physical changes to their social repercussions
  publication-title: Regional Environmental Change
– start-page: 43
  year: 2013
– volume: 29
  start-page: 459
  issue: 3
  year: 2018
  end-page: 468
  article-title: Late Quaternary ecotone change between sub‐alpine and montane forest zone on the leeward northern slope of Mt
  publication-title: Kilimanjaro. Journal of Vegetation Science
– volume: 36
  start-page: 27
  issue: 1
  year: 2012
  end-page: 46
  article-title: Collinearity: A review of methods to deal with it and a simulation study evaluating their performance
  publication-title: Ecography
– volume: 6
  start-page: 4328
  issue: 12
  year: 2015
  end-page: 4348
  article-title: Prescribing Innovation within a Large‐Scale Restoration Programme in Degraded Subtropical Thicket in South Africa
  publication-title: Forests
– volume: 19
  start-page: 1353
  issue: 11
  year: 2013
  end-page: 1365
  article-title: The use of habitat suitability models and species‐area relationships to predict extinction debts in coastal forests South Africa
  publication-title: Diversity and Distributions
– volume: 5
  start-page: 463
  issue: 4
  year: 2012
  end-page: 474
  article-title: Vanishing Wildlife Corridors and Options for Restoration: A Case Study from Tanzania
  publication-title: Tropical Conservation Science
– volume: 148
  start-page: 42
  year: 2014
  end-page: 57
  article-title: Good practices for estimating area and assessing accuracy of land change
  publication-title: Remote Sensing of Environment
– volume: 403
  start-page: 853
  issue: 6772
  year: 2000
  end-page: 858
  article-title: Biodiversity hotspots for conservation priorities
  publication-title: Nature
– volume: 27
  start-page: 2931
  issue: 11
  year: 2018
  end-page: 2949
  article-title: Applying species distribution modelling to improving conservation based decisions: A gap analysis of Trinidad and Tobago’s endemic vascular plants
  publication-title: Biodiversity and Conservation
– volume: 1
  issue: 4
  year: 2015
  article-title: Collapse of the world’s largest herbivores
  publication-title: Science Advances
– volume: 109
  start-page: 5
  issue: 1–2
  year: 2011
  end-page: 31
  article-title: The representative concentration pathways: An overview
  publication-title: Climatic Change
– volume: 111
  issue: 7/8
  year: 2015
  article-title: Evidence for climate‐induced range shift in Brachystegia (miombo) woodland
  publication-title: South African Journal of Science
– volume: 53
  start-page: 103
  issue: 1
  year: 2015
  end-page: 108
  article-title: AFRICLIM: High‐resolution climate projections for ecological applications in Africa
  publication-title: African Journal of Ecology
– volume: 25
  start-page: 903
  issue: 6
  year: 2017
  end-page: 911
  article-title: Time space, place, and the Bonn Challenge global forest restoration target
  publication-title: Restoration Ecology
– volume: 32
  start-page: 4407
  issue: 15
  year: 2011
  end-page: 4429
  article-title: Death to Kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment
  publication-title: International Journal of Remote Sensing
– volume: 10
  start-page: 565
  issue: 4
  year: 2019
  end-page: 577
  article-title: The area under the precision‐recall curve as a performance metric for rare binary events
  publication-title: Methods in Ecology and Evolution
– volume: 64
  start-page: 3
  issue: 1–2
  year: 2008
  end-page: 15
  article-title: Possible impacts of 21st century climate on vegetation in Central and West Africa
  publication-title: Global and Planetary Change
– year: 2002
– volume: 87
  start-page: 651
  issue: 2
  year: 2015
  end-page: 667
  article-title: Mangroves response to climate change: A review of recent findings on mangrove extension and distribution
  publication-title: Anais Da Academia Brasileira De Ciências
– volume: 275
  start-page: 1261
  issue: 1640
  year: 2008
  end-page: 1270
  article-title: Future battlegrounds for conservation under global change
  publication-title: Proceedings of the Royal Society B: Biological Sciences
– volume: 5
  start-page: 1
  year: 1999
  end-page: 4
  article-title: Index that quantifies topographic heterogeneity
  publication-title: Intermountain Journal of Sciences
– volume: 10
  start-page: 1
  issue: 8
  year: 2006
  end-page: 26
  article-title: 3‐PG productivity modeling of regenerating amazon forests: Climate sensitivity and comparison with MODIS‐derived NPP
  publication-title: Earth Interactions
– volume: 1
  start-page: 30
  issue: 1
  year: 2015
  end-page: 39
  article-title: The Impact of Climate Change on Mangrove Forests
  publication-title: Current Climate Change Reports
– volume: 171
  start-page: 149
  year: 2017
  end-page: 154
  article-title: Carbon sequestration by mangrove forest: One approach for managing carbon dioxide emission from coal‐based power plant
  publication-title: Atmospheric Environment
– volume: 40
  start-page: 887
  issue: 7
  year: 2017
  end-page: 893
  article-title: Opening the black box: An open‐source release of Maxent
  publication-title: Ecography
– volume: 5
  start-page: 34
  issue: 1
  year: 2018
  end-page: 48
  article-title: Quantifying forest structural diversity based on large‐scale inventory data: A new approach to support biodiversity monitoring
  publication-title: Forest Ecosystems
– volume: 24
  start-page: 990
  issue: 5
  year: 2014
  end-page: 999
  article-title: More than the sum of the parts: Forest climate response from joint species distribution models
  publication-title: Ecological Applications
– volume: 7
  start-page: 2238
  issue: 7
  year: 2017
  end-page: 2248
  article-title: The impact of climate change on the distribution of two threatened Dipterocarp trees
  publication-title: Ecology and Evolution
– volume: 69
  start-page: 274
  issue: 1
  year: 2013
  end-page: 281
  article-title: Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology
  publication-title: Biometrics
– volume: 218
  start-page: 121
  issue: 1–2
  year: 2008
  end-page: 134
  article-title: Predicting tree distributions in an East African biodiversity hotspot: Model selection data bias and envelope uncertainty
  publication-title: Ecological Modelling
– volume: 24
  year: 1997
  article-title: A review of methods for the assessment of prediction errors in conservation presence/absence models
  publication-title: Environmental Conservation
– volume: 11
  issue: 1
  year: 2016
  article-title: Testing three species distribution modelling strategies to define fish assemblage reference conditions for stream bioassessment and related applications
  publication-title: PLoS One
– volume: 44
  start-page: 931
  issue: 8
  year: 2014
  end-page: 948
  article-title: A sampling design for a large area forest inventory: Case Tanzania
  publication-title: Canadian Journal of Forest Research
– volume: 38
  start-page: 599
  issue: 5
  year: 2006
  end-page: 605
  article-title: Establishment of Broad‐leaved Thickets in Serengeti Tanzania: The Influence of Fire, Browsers, Grass Competition, and Elephants1
  publication-title: Biotropica
– volume: 48
  start-page: 880
  issue: 4
  year: 2010
  end-page: 887
  article-title: Land use changes and conservation threats in the eastern Selous‐Niassa wildlife corridor, Nachingwea
  publication-title: Tanzania. African Journal of Ecology
– volume: 43
  year: 2006
  article-title: Spatial modelling of biodiversity at the community level
  publication-title: Journal of Applied Ecology
– volume: 9
  start-page: 259
  issue: 5
  year: 2018
  article-title: Assessing climate change impact on forest habitat suitability and diversity in the Korean peninsula
  publication-title: Forests
– volume: 24
  start-page: 978
  issue: 7
  year: 2018
  end-page: 990
  article-title: Modelling the distribution and compositional variation of plant communities at the continental scale
  publication-title: Diversity and Distributions
– volume: 18
  start-page: 1759
  issue: 6
  year: 2016
  end-page: 1768
  article-title: Shedding light on the effects of climate change on the potential distribution of Xylella fastidiosa in the Mediterranean basin
  publication-title: Biological Invasions
– volume: 10
  start-page: 108
  issue: 1
  year: 2017
  end-page: 115
  article-title: Evaluating global biodiversity hotspots–Very rich and even more endangered
  publication-title: Journal of Landscape Ecology
– volume: 21
  start-page: 335
  issue: 2
  year: 2011
  end-page: 342
  article-title: Ecological niche modeling in Maxent: The importance of model complexity and the performance of model selection criteria
  publication-title: Ecological Applications
– year: 2004
– volume: 36
  start-page: 971
  issue: 9
  year: 2013
  end-page: 983
  article-title: Selecting from correlated climate variables: A major source of uncertainty for predicting species distributions under climate change
  publication-title: Ecography
– start-page: 93
  year: 2000
  end-page: 101
– start-page: 385
  year: 1996
  end-page: 400
– volume: 37
  start-page: 221
  issue: 2
  year: 2017
  end-page: 256
  article-title: The future of tropical forests under the United Nations Sustainable Development Goals
  publication-title: Journal of Sustainable Forestry
– year: 2015
– volume: 9
  start-page: 47
  issue: 1
  year: 1999
  end-page: 62
  article-title: The impact of human forest disturbance on the endemic avifauna of the Udzungwa Mountains Tanzania
  publication-title: Bird Conservation International
– volume: 19–20
  start-page: 33
  year: 2012
  end-page: 48
  article-title: Assessing capacities of non‐Annex I countries for national forest monitoring in the context of REDD+
  publication-title: Environmental Science & Policy
– volume: 342
  start-page: 850
  issue: 6160
  year: 2013
  end-page: 853
  article-title: High‐resolution global maps of 21st‐century forest cover change
  publication-title: Science
– volume: 5
  start-page: 215
  issue: 3
  year: 2015
  end-page: 224
  article-title: Assessing species vulnerability to climate change
  publication-title: Nature Climate Change
– volume: 190
  start-page: 231
  issue: 3–4
  year: 2006
  end-page: 259
  article-title: Maximum entropy modeling of species geographic distributions
  publication-title: Ecological Modelling
– volume: 8
  start-page: 381
  issue: 5
  year: 1995
  end-page: 393
  article-title: Carbon flows and economic evaluation of mitigation options in Tanzanias forest sector
  publication-title: Biomass and Bioenergy
– volume: 107
  start-page: 16732
  issue: 38
  year: 2010
  end-page: 16737
  article-title: Tropical forests were the primary sources of new agricultural land in the 1980s and 1990s
  publication-title: Proceedings of the National Academy of Sciences
– volume: 5
  start-page: 694
  issue: 7
  year: 2014
  end-page: 700
  article-title: SDMtoolbox: A python‐based GIS toolkit for landscape genetic biogeographic and species distribution model analyses
  publication-title: Methods in Ecology and Evolution
– volume: 41
  start-page: 987
  issue: 9
  year: 2013
  end-page: 990
  article-title: Rapid coastal subsidence in the central Ganges‐Brahmaputra Delta (Bangladesh) since the 17th century deduced from submerged salt‐producing kilns
  publication-title: Geology
– volume: 7
  start-page: 395
  issue: 6
  year: 2017
  end-page: 402
  article-title: Forest disturbances under climate change
  publication-title: Nature Climate Change
– volume: 324
  start-page: 1183
  issue: 5931
  year: 2009
  end-page: 1186
  article-title: Implications of Limiting CO Concentrations for Land Use and Energy
  publication-title: Science
– volume: 21
  start-page: 62
  issue: S7
  year: 2006
  end-page: 72
  article-title: Utility of habitat suitability models as biodiversity assessment tools in forest management
  publication-title: Scandinavian Journal of Forest Research
– volume: 10
  issue: 2
  year: 2015
  article-title: Baseline data on forest loss and associated uncertainty: Advances in national forest monitoring
  publication-title: Environmental Research Letters
– volume: 76
  start-page: 1
  issue: 1
  year: 2008
  end-page: 13
  article-title: Mangrove forests: Resilience, protection from tsunamis, and responses to global climate change
  publication-title: Estuarine, Coastal and Shelf Science
– volume: 8
  issue: 12
  year: 2013
  article-title: Habitat Hydrology and Geomorphology Control the Distribution of Malaria Vector Larvae in Rural Africa
  publication-title: PLoS One
– volume: 154
  start-page: 395
  issue: 3
  year: 2001
  end-page: 407
  article-title: Road paving fire regime feedbacks, and the future of Amazon forests
  publication-title: Forest Ecology and Management
– volume: 31
  start-page: 1086
  issue: 5
  year: 2017
  end-page: 1097
  article-title: Restoration planning to guide Aichi targets in a megadiverse country
  publication-title: Conservation Biology
– volume: 320
  start-page: 1444
  issue: 5882
  year: 2008
  end-page: 1449
  article-title: Forests and Climate Change: Forcings Feedbacks, and the Climate Benefits of Forests
  publication-title: Science
– volume: 112
  start-page: 14
  year: 2015
  end-page: 24
  article-title: Is Land Degradation Neutrality feasible in dry areas?
  publication-title: Journal of Arid Environments
– volume: 10
  issue: 8
  year: 2015
  article-title: Green plants in the red: A baseline global assessment for the IUCN sampled red list index for plants
  publication-title: PLoS One
– volume: 101
  start-page: 16
  year: 2015
  end-page: 23
  article-title: Understanding global change impacts on South African biomes using Dynamic Vegetation Models
  publication-title: South African Journal of Botany
– year: 2017
– ident: e_1_2_8_6_1
  doi: 10.1126/science.1155121
– ident: e_1_2_8_7_1
  doi: 10.1111/j.1654-1103.2012.01456.x
– ident: e_1_2_8_32_1
  doi: 10.1073/pnas.0910275107
– volume-title: A brief tutorial on MaxEnt
  year: 2005
  ident: e_1_2_8_72_1
– ident: e_1_2_8_77_1
  doi: 10.1111/aje.12180
– ident: e_1_2_8_101_1
  doi: 10.1890/10-1171.1
– ident: e_1_2_8_8_1
  doi: 10.1016/j.ecolmodel.2013.12.012
– ident: e_1_2_8_58_1
  doi: 10.1111/jvs.12639
– ident: e_1_2_8_29_1
  doi: 10.1017/S0959270900003348
– volume-title: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
  year: 2014
  ident: e_1_2_8_42_1
– ident: e_1_2_8_94_1
  doi: 10.1080/10549811.2017.1416477
– ident: e_1_2_8_91_1
  doi: 10.1111/2041-210X.13140
– volume-title: Climate change and African forest and wildlife resources
  year: 2011
  ident: e_1_2_8_17_1
– ident: e_1_2_8_27_1
  doi: 10.1111/j.1365-2664.2006.01149.x
– ident: e_1_2_8_4_1
  doi: 10.1007/s40641-015-0002-x
– ident: e_1_2_8_41_1
  doi: 10.1007/s10584-011-0153-2
– ident: e_1_2_8_73_1
  doi: 10.1111/ecog.03049
– ident: e_1_2_8_57_1
  doi: 10.1016/j.sajb.2015.02.004
– ident: e_1_2_8_2_1
  doi: 10.1016/j.ecss.2007.08.024
– ident: e_1_2_8_92_1
  doi: 10.1007/s10531-018-1578-y
– ident: e_1_2_8_75_1
  doi: 10.17159/sajs.2015/20140280
– ident: e_1_2_8_84_1
  doi: 10.1016/j.envsci.2012.01.005
– ident: e_1_2_8_43_1
  doi: 10.1111/ddi.12736
– volume-title: National Environmental Statistics Report, (NESR, 2017)
  year: 2017
  ident: e_1_2_8_63_1
– ident: e_1_2_8_12_1
  doi: 10.1111/2041-210X.12200
– ident: e_1_2_8_93_1
  doi: 10.1186/s40663-018-0151-1
– ident: e_1_2_8_35_1
  doi: 10.1130/G34646.1
– ident: e_1_2_8_36_1
  doi: 10.1126/science.1244693
– start-page: 93
  volume-title: Wilderness science in a time of change conference—Volume 3: Wilderness as a place for scientific inquiry; 1999 May 23–27; Missoula, MT. Proceedings RMRS‐P‐15‐VOL‐3
  year: 2000
  ident: e_1_2_8_45_1
– ident: e_1_2_8_104_1
  doi: 10.1186/s13071-015-1046-4
– ident: e_1_2_8_60_1
  doi: 10.1038/nature08823
– ident: e_1_2_8_21_1
  doi: 10.1002/ece3.2846
– volume-title: ). Distribution and movements of elephants and other wildlife in the Selous‐Niassa wildlife corridor, Tanzania
  year: 2004
  ident: e_1_2_8_39_1
– ident: e_1_2_8_62_1
  doi: 10.1038/35002501
– ident: e_1_2_8_53_1
  doi: 10.1111/j.1600-0587.2013.07872.x
– ident: e_1_2_8_89_1
  doi: 10.1007/s10113-015-0910-2
– ident: e_1_2_8_10_1
  doi: 10.1371/journal.pone.0177678
– ident: e_1_2_8_68_1
  doi: 10.1111/ddi.12099
– volume-title: SOTER‐based soil parameter estimates for Southern Africa (ver. 1.0) (No. 2004/04)
  year: 2004
  ident: e_1_2_8_5_1
– ident: e_1_2_8_40_1
  doi: 10.1515/jlecol-2017-0013
– ident: e_1_2_8_96_1
  doi: 10.1111/cobi.12918
– ident: e_1_2_8_25_1
  doi: 10.1080/14004080500486989
– ident: e_1_2_8_83_1
  doi: 10.1126/sciadv.1400103
– ident: e_1_2_8_85_1
  doi: 10.1111/j.1523-1739.2005.00204.x
– ident: e_1_2_8_88_1
  doi: 10.1038/nclimate3303
– ident: e_1_2_8_97_1
  doi: 10.1139/cjfr-2013-0490
– ident: e_1_2_8_50_1
  doi: 10.1016/0961-9534(95)00045-3
– ident: e_1_2_8_86_1
  doi: 10.1371/journal.pone.0146728
– ident: e_1_2_8_81_1
  doi: 10.1007/s10584-011-0149-y
– ident: e_1_2_8_90_1
  doi: 10.1111/j.1744-7429.2006.00195.x
– ident: e_1_2_8_100_1
  doi: 10.1111/rec.12512
– ident: e_1_2_8_74_1
  doi: 10.1016/j.ecolmodel.2005.03.026
– ident: e_1_2_8_23_1
  doi: 10.1111/j.1600-0587.2012.07348.x
– ident: e_1_2_8_37_1
  doi: 10.1371/journal.pone.0081931
– volume-title: Tropical forest ecology: The basis for conservation and management
  year: 2005
  ident: e_1_2_8_59_1
– ident: e_1_2_8_80_1
  doi: 10.1111/j.1541-0420.2012.01824.x
– ident: e_1_2_8_66_1
  doi: 10.1111/j.1365-2028.2009.01148.x
– ident: e_1_2_8_69_1
  doi: 10.1016/j.rse.2014.02.015
– ident: e_1_2_8_103_1
  doi: 10.1175/EI137.1
– ident: e_1_2_8_48_1
  doi: 10.3390/f9050259
– ident: e_1_2_8_46_1
  doi: 10.1016/S0378-1127(97)00026-1
– ident: e_1_2_8_49_1
  doi: 10.1016/j.biocon.2013.08.027
– ident: e_1_2_8_16_1
  doi: 10.1111/gcb.12869
– ident: e_1_2_8_38_1
  doi: 10.1371/journal.pone.0125814
– ident: e_1_2_8_54_1
  doi: 10.3390/f6114328
– ident: e_1_2_8_99_1
  doi: 10.1111/j.1365-2699.2009.02174.x
– ident: e_1_2_8_64_1
  doi: 10.1016/S0378-1127(01)00511-4
– ident: e_1_2_8_3_1
  doi: 10.4155/cmt.12.20
– ident: e_1_2_8_71_1
  doi: 10.1088/1748-9326/10/2/021001
– start-page: 43
  volume-title: Use and interpretation of climate envelope models: A practical guide
  year: 2013
  ident: e_1_2_8_102_1
– ident: e_1_2_8_70_1
  doi: 10.1038/nclimate2448
– ident: e_1_2_8_28_1
  doi: 10.1017/S0376892997000088
– ident: e_1_2_8_14_1
  doi: 10.1016/j.cageo.2013.08.007
– ident: e_1_2_8_76_1
  doi: 10.1016/j.ecolmodel.2008.06.028
– ident: e_1_2_8_31_1
  doi: 10.1016/S0012-8252(01)00056-3
– ident: e_1_2_8_105_1
  doi: 10.1126/science.1168475
– ident: e_1_2_8_11_1
  doi: 10.1111/j.1600-0587.2013.00138.x
– ident: e_1_2_8_47_1
  doi: 10.1098/rspb.2007.1732
– ident: e_1_2_8_79_1
  doi: 10.1016/j.atmosenv.2017.10.019
– ident: e_1_2_8_22_1
  doi: 10.1016/j.gloplacha.2008.01.008
– ident: e_1_2_8_9_1
  doi: 10.1007/s10530-016-1118-1
– ident: e_1_2_8_20_1
  doi: 10.1111/brv.12222
– ident: e_1_2_8_18_1
  doi: 10.1890/13-1015.1
– volume-title: Research Master Plan for the Rufiji Floodplain and Delta 2003–2013. Rufiji Environment Management Project1
  year: 2002
  ident: e_1_2_8_67_1
– ident: e_1_2_8_61_1
  doi: 10.1111/gcb.12586
– ident: e_1_2_8_24_1
  doi: 10.1111/gcb.13925
– ident: e_1_2_8_78_1
  doi: 10.1080/01431161.2011.552923
– ident: e_1_2_8_34_1
  doi: 10.1016/j.jaridenv.2014.05.014
– volume: 5
  start-page: 1
  year: 1999
  ident: e_1_2_8_82_1
  article-title: Index that quantifies topographic heterogeneity
  publication-title: Intermountain Journal of Sciences
– ident: e_1_2_8_13_1
  doi: 10.1371/journal.pone.0135152
– ident: e_1_2_8_19_1
  doi: 10.1111/gcb.12930
– ident: e_1_2_8_51_1
  doi: 10.1007/978-94-017-2730-3
– ident: e_1_2_8_65_1
  doi: 10.1111/j.1523-1739.2005.00273.x
– ident: e_1_2_8_98_1
  doi: 10.1007/s10584-011-0148-z
– ident: e_1_2_8_55_1
  doi: 10.1016/j.foreco.2019.02.041
– ident: e_1_2_8_26_1
  doi: 10.1111/j.2006.0906-7590.04596.x
– start-page: 385
  volume-title: East African ecosystems and their conservation
  year: 1996
  ident: e_1_2_8_52_1
– volume-title: National Forest Resource Monitoring and Assessment (NAFORMA) main results
  year: 2015
  ident: e_1_2_8_56_1
– ident: e_1_2_8_33_1
  doi: 10.1590/0001-3765201520150055
– ident: e_1_2_8_30_1
  doi: 10.1111/gcb.14709
– ident: e_1_2_8_44_1
  doi: 10.1177/194008291200500405
– ident: e_1_2_8_95_1
  doi: 10.1111/ecog.02880
– ident: e_1_2_8_87_1
  doi: 10.1007/s10764-006-9037-0
– volume-title: Terrestrial ecoregions of Africa and Madagascar: A conservation assessment
  year: 2004
  ident: e_1_2_8_15_1
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Snippet Aim Climate change is pressing extra strain on the already degraded forest ecosystem in Tanzania. However, it is mostly unknown how climate change will affect...
AimClimate change is pressing extra strain on the already degraded forest ecosystem in Tanzania. However, it is mostly unknown how climate change will affect...
AIM: Climate change is pressing extra strain on the already degraded forest ecosystem in Tanzania. However, it is mostly unknown how climate change will affect...
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SubjectTerms Biodiversity
Biodiversity conservation
Biodiversity hot spots
BIODIVERSITY RESEARCH
Biofuels
Climate change
Climate models
Climate prediction
Conservation
conservation areas
conservation planning
Emission
Emissions
Entropy
Environmental impact
fauna
Flora
Forest communities
forest damage
Forest degradation
Forest ecosystems
forest habitats
forest inventory
Forests
habitat destruction
Habitat fragmentation
Habitat loss
habitat suitability modelling
Habitats
land
Land degradation
Land reclamation
land restoration
Land use
Land use management
Land use planning
lowland forests
Mangroves
MaxEnt modelling
Maximum entropy
Microenvironments
Microhabitats
Montane environments
montane forests
Mountain forests
Mountains
National forests
pressing
probability
Protected areas
Tanzania
Terrestrial ecosystems
Woodlands
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Title Modelling the impact of climate change on Tanzanian forests
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Volume 26
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