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...
Saved in:
Published in | Diversity & distributions Vol. 26; no. 12; pp. 1663 - 1686 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Wiley
01.12.2020
John Wiley & Sons, Inc |
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |
Author_xml | – sequence: 1 givenname: Elikana surname: John fullname: John, Elikana – sequence: 2 givenname: Pete surname: Bunting fullname: Bunting, Pete – sequence: 3 givenname: Andy surname: Hardy fullname: Hardy, Andy – sequence: 4 givenname: Osian surname: Roberts fullname: Roberts, Osian – sequence: 5 givenname: Richard surname: Giliba fullname: Giliba, Richard – sequence: 6 givenname: Dos Santos surname: Silayo fullname: Silayo, Dos Santos |
BookMark | eNp1kE1PAjEURRuDiYAu_AEmTdzoYqBfU6ZxZcAPEowb9pNOp4WSocV2iMFfbxV0QfRt-hbnvN7cHug47zQAlxgNcJphXdsBpjgnJ6CL2YhkjDPSSTvlPBM55megF-MKIURpTrrg7sXXummsW8B2qaFdb6RqoTdQNXYtWw3VUrqFht7BuXQf0lnpoPFBxzaeg1Mjm6gvDm8fzB8f5uPnbPb6NB3fzzJFi5RAMTaqakGkxBrLApuqUhphbUa5kXVFRIEEqgwzqlKVLPJCGMpwpSRSFHFF--Bmf3YT_Ns2fVyubVQptHTab2NJmCgoZozzhF4foSu_DS6FS1QuCKYFx4ka7ikVfIxBm1LZVrbWuzZI25QYlV9dlqnL8rvLZNweGZuQ6gm7P9nD9Xfb6N3_YDmZTH-Mq72xiq0PvwbhgnHEKf0EdKqOMA |
CitedBy_id | crossref_primary_10_1093_forestry_cpae031 crossref_primary_10_1111_ddi_13675 crossref_primary_10_3390_rs16224261 crossref_primary_10_1080_1528008X_2023_2293135 crossref_primary_10_1002_eap_2715 crossref_primary_10_1016_j_ecoinf_2024_102896 crossref_primary_10_1139_er_2022_0111 crossref_primary_10_1007_s42452_024_06248_8 crossref_primary_10_3390_f13010064 crossref_primary_10_1007_s42535_024_00931_2 crossref_primary_10_1371_journal_pone_0281408 crossref_primary_10_3390_ani14213046 crossref_primary_10_1177_21582440241276182 crossref_primary_10_1111_ddi_13545 crossref_primary_10_58683_sp_620 crossref_primary_10_1007_s10841_024_00564_5 crossref_primary_10_1108_TRC_07_2023_0016 crossref_primary_10_1186_s12862_024_02336_w crossref_primary_10_3390_rs13163081 crossref_primary_10_1111_1365_2745_14020 crossref_primary_10_1016_j_envc_2021_100366 crossref_primary_10_1016_j_gecco_2021_e01732 crossref_primary_10_3390_plants14020291 crossref_primary_10_1007_s13762_023_04814_y crossref_primary_10_1111_brv_12950 |
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 |
ContentType | Journal Article |
Copyright | 2020 The Authors 2020 The Authors. Diversity and Distributions published by John Wiley & Sons Ltd 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
Copyright_xml | – notice: 2020 The Authors – notice: 2020 The Authors. Diversity and Distributions published by John Wiley & Sons Ltd – notice: 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
DBID | 24P AAYXX CITATION 3V. 7SN 7XB 8FE 8FH 8FK 8G5 ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI C1K CCPQU DWQXO GNUQQ GUQSH HCIFZ LK8 M2O M7N M7P MBDVC PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7S9 L.6 |
DOI | 10.1111/ddi.13152 |
DatabaseName | Wiley Online Library Open Access CrossRef ProQuest Central (Corporate) Ecology Abstracts ProQuest Central (purchase pre-March 2016) ProQuest SciTech Collection ProQuest Natural Science Journals ProQuest Central (Alumni) (purchase pre-March 2016) Research Library (Alumni) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection Environmental Sciences and Pollution Management ProQuest One ProQuest Central Korea ProQuest Central Student ProQuest Research Library SciTech Premium Collection Biological Sciences Research Library Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Research Library (Corporate) ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic AGRICOLA AGRICOLA - Academic |
DatabaseTitle | CrossRef Publicly Available Content Database Research Library Prep ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College Research Library (Alumni Edition) ProQuest Natural Science Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability Natural Science Collection ProQuest Central Korea Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Collection ProQuest Research Library ProQuest Central (New) ProQuest Biological Science Collection ProQuest Central Basic ProQuest One Academic Eastern Edition Biological Science Database ProQuest SciTech Collection Ecology Abstracts ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) AGRICOLA AGRICOLA - Academic |
DatabaseTitleList | Publicly Available Content Database AGRICOLA |
Database_xml | – sequence: 1 dbid: 24P name: Wiley Online Library Open Access url: https://authorservices.wiley.com/open-science/open-access/browse-journals.html sourceTypes: Publisher – sequence: 2 dbid: BENPR name: ProQuest Central (New) url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Biology Ecology Environmental Sciences |
EISSN | 1472-4642 |
EndPage | 1686 |
ExternalDocumentID | 10_1111_ddi_13152 DDI13152 26946063 |
Genre | article |
GeographicLocations | Indian Ocean Africa Tanzania |
GeographicLocations_xml | – name: Tanzania – name: Africa – name: Indian Ocean |
GrantInformation_xml | – fundername: Ministry of Natural Resources – fundername: Forest Service – fundername: Commonwealth Scholarship Commission funderid: TZC‐2017‐721 |
GroupedDBID | -~X .3N .GA 05W 0R~ 10A 1OC 24P 29G 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 5GY 5HH 5LA 5VS 702 7PT 8-0 8-1 8-3 8-4 8-5 8G5 8UM 930 A03 AAESR AAEVG AAFWJ AAHBH AAHKG AAKGQ AAMMB AAONW AAZKR ABBHK ABCQN ABDBF ABEML ABLJU ABPLY ABPPZ ABPVG ABPVW ABSQW ABTLG ABUWG ABXSQ ACCMX ACGFS ACHIC ACPRK ACSCC ACSTJ ACUHS ACXQS ADBBV ADEOM ADIZJ ADKYN ADZMN AEFGJ AEIMD AENEX AEUPB AEUYN AFAZZ AFBPY AFEBI AFKRA AFPKN AFRAH AFZJQ AGUYK AGXDD AHXOZ AIDQK AIDYY AILXY AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN AMBMR ANHSF AQVQM ATUGU AUFTA AVUZU AZBYB AZQEC AZVAB BAFTC BBNVY BCNDV BDRZF BENPR BHBCM BHPHI BMNLL BMXJE BNHUX BROTX BRXPI BY8 CCPQU CS3 D-E D-F DCZOG DEVKO DPXWK DR2 DU5 DWQXO EAD EAP EBD EBS EDH EMK ESX F00 F01 F04 G-S G.N GNUQQ GODZA GROUPED_DOAJ GUQSH H.T H.X HCIFZ HZI HZ~ IAO IEP IHE IPSME ITC IX1 J0M JBS JEB JENOY JFNAL JLS JPM JST K48 LC2 LC3 LH4 LITHE LOXES LP6 LP7 LUTES M2O M7P MK4 ML. MM- MRFUL MRSTM MSFUL MSSTM N04 N05 N9A NF~ O66 O9- OIG OK1 P2W P2X P4D PHGZM PHGZT PIMPY PQQKQ Q.N Q11 QB0 R.K ROL RX1 SA0 SUPJJ TN5 TUS UB1 UPT W8V W99 WBKPD WIH WIK WNSPC WOHZO WQJ WYISQ XG1 ~IA ~KM ~WT .Y3 31~ 33P AAHHS AAISJ AANHP ACBWZ ACCFJ ACRPL ACYXJ ADNMO ADULT ADZOD AEEZP AEQDE AEUQT AFPWT AIWBW AJBDE ASPBG AVWKF AZFZN BFHJK CAG CBGCD COF CUYZI DOOOF EJD EQZMY FEDTE GTFYD HF~ HGD HQ2 HTVGU HVGLF JAAYA JBMMH JHFFW JKQEH JLXEF JSODD LW6 OHT WIN WRC AAYXX AGQPQ CITATION 3V. 7SN 7XB 8FE 8FH 8FK C1K LK8 M7N MBDVC PKEHL PQEST PQGLB PQUKI PRINS Q9U 7S9 L.6 |
ID | FETCH-LOGICAL-c3872-c447bd92aa1e1a81fbbce01ef75fadb298090bf4fcbcba8589f341bca0c306c3 |
IEDL.DBID | DR2 |
ISSN | 1366-9516 |
IngestDate | Fri Jul 11 18:26:14 EDT 2025 Wed Aug 13 09:25:59 EDT 2025 Thu Apr 24 23:12:44 EDT 2025 Tue Jul 01 03:42:47 EDT 2025 Wed Jan 22 16:31:39 EST 2025 Thu Jul 03 22:32:28 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 12 |
Language | English |
License | Attribution |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c3872-c447bd92aa1e1a81fbbce01ef75fadb298090bf4fcbcba8589f341bca0c306c3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ORCID | 0000-0002-6248-5504 |
OpenAccessLink | https://proxy.k.utb.cz/login?url=https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fddi.13152 |
PQID | 2459213861 |
PQPubID | 46496 |
PageCount | 24 |
ParticipantIDs | proquest_miscellaneous_2498314466 proquest_journals_2459213861 crossref_citationtrail_10_1111_ddi_13152 crossref_primary_10_1111_ddi_13152 wiley_primary_10_1111_ddi_13152_DDI13152 jstor_primary_26946063 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 20201201 December 2020 2020-12-00 |
PublicationDateYYYYMMDD | 2020-12-01 |
PublicationDate_xml | – month: 12 year: 2020 text: 20201201 day: 1 |
PublicationDecade | 2020 |
PublicationPlace | Oxford |
PublicationPlace_xml | – name: Oxford |
PublicationTitle | Diversity & distributions |
PublicationYear | 2020 |
Publisher | Wiley John Wiley & Sons, Inc |
Publisher_xml | – name: Wiley – name: John Wiley & Sons, Inc |
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 |
SSID | ssj0003352 |
Score | 2.4345424 |
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... |
SourceID | proquest crossref wiley jstor |
SourceType | Aggregation Database Enrichment Source Index Database Publisher |
StartPage | 1663 |
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 |
SummonAdditionalLinks | – databaseName: JSTOR Journals Open Access dbid: JFNAL link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwdV3dS8MwEA-6Ifgifg2nU6L44Eu1TdM2wafhNubQPU3YW0nSBAajFbc9-N97SbPpwL0Fem2Pu0vvd819IHSvCIDq-hcYzQKaJSJgOjQBo0URU5EyVthA8X2cDj_oaJpMfRLNwqdVurxAd4oPAEnO9ZOttgSgHe-jJrjjBGKs5mgw7r5tPrm2cKgusEoDgAypbyFkU3aKYvYYxVFCthxPnXu4hSr_YlPnXAbH6MijQtyt1XiC9nR5ig7qOZHfsOorv2r1fwvT4Aa_Mxdn6NkONXP9tTFAOlwXP-LKYDWfASjVuK7wxVWJJwAHRQlmgQGwAlOLczQZ9Ccvw8APRghUzDISKEozWXAiRKQjwSIjpdJhpE2WGFFIwlnIQ2moUVJJwRLGDTgrqUSoIEJQcQs1yqrUFwgzQhUzKYeogQOU0rZrMVfwPB2GEsBUGz2shZYr3zTczq6Y5-vgAeSbO_m20d2G9LPulPEfUctJfkOxVm0bddaqyP0uWuSEJpxEMUuBj9vNZbB_e6ghSl2tLA1nsQ1qU-DVqXD32_Ne79UtLnexcYUOiQ2oXb5KBzWWXyt9DahjKW-8zf0A0CTRmw priority: 102 providerName: JSTOR – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3NS8MwFA-6IXgRv4bTKVE8eKm2adomeBB1G1NwiEzYrSRpAoPRTrcd_O99abPNgXoL9LUpL8nL75e8D4QuFQFQXR2B0cSjSSQ8pn3jMZplIRUxY5klii_9uPdOn4fR0B24TZ1b5cImloY6K5Q9I78hNOIkCFkc3E0-PFs1yt6uuhIam6gOJpgB-ao_dPqvb0tbbCOKqsir2AMsEbvcQtaXJ8tG10EYRGRtR6qcEtfg5k_QWu463V204-Aivq_Gdw9t6HwfbVUFJL-g1VGu1eisItbgBbdkpwfo1lY7KxNvY8B6uIqKxIXBajwCtKpxFfqLixwPACeKHOYLBiQLPzU9RINuZ_DY81zFBE-FLCGeojSRGSdCBDoQLDBSKu0H2iSREZkknPncl4YaJZUULGLcwC4mlfAVUAcVNlAtL3J9hDAjVDETc6ATHDCWtumMuYLvad-XgLKa6GqhtFS5bOK2qMU4XbAK0G9a6reJLpaikyqFxm9CjVLzSwkbYQvkKmyi1mIoUre8pulqMjTR-fIxLAx72yFyXcytDGehZbsx_Gs5hH_3nrbbT2Xj-P_eTtA2sXy7dGdpodrsc65PAZTM5Jmbed_TZd2k priority: 102 providerName: ProQuest |
Title | Modelling the impact of climate change on Tanzanian forests |
URI | https://www.jstor.org/stable/26946063 https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fddi.13152 https://www.proquest.com/docview/2459213861 https://www.proquest.com/docview/2498314466 |
Volume | 26 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3dS-QwEB_UQ_BF78PlVr0lJ_dwL13aNG0TfPJjF0_ORWQFH4SSpAmI0j3c3Qf9650kbdXjDo57C-20TTKZzG_S-QD4pimC6nAExoqIFZmMuIltxFlVpUzmnFfOUDyf5KdX7Ow6u16BgzYWJuSH6A7cnGT4_doJuFTzV0JeVbfDJEX1g_uv89VygOjyJXWUiyUKMVd5hCgib7IKOS-e7sk3uii4I74Bmq_hqtc34y24aXsa3EzuhsuFGuqn35I4_udQ3sNmg0PJYVg4H2DF1B9hPVSmfMTWSDet3uglFA4faPaC-Sc4cGXUfEZvgiCShHBLMrNE398iDDYkxBSTWU2mCEBljQuRIETGMc-3YToeTY9Po6YUQ6RTXtBIM1aoSlApE5NInliltIkTY4vMykpRwWMRK8usVlpJnnFhUT0qLWONNolOe7BWz2rzGQinTHObC7RTBII34_IkC43vM3GsEL714XvLk1I3acpdtYz7sjVXcLZKP1t92O9If4XcHH8i6nnGdhQudBettrQPey2ny0Zu5yVlmaBJynPsx9fuNkqc-40iazNbOhrBU2dG59hXz9a_f708OfnhGzv_TroLG9QZ9d5nZg_WFg9L8wWRz0INYJWyiwG8OxpNLi4H_vxg4Jc9XjsbTw5_PgPZgQEH |
linkProvider | Wiley-Blackwell |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1fSxwxEB_sidSX0qqHZ20bi4IvW3ez2d2EUkrbO7mreohcwbclySZwILvq3VH8UP2OnWx2T4XaN98CO5uEyWTym2T-AOxriqDaX4GxLGBZIgNuQhtwVhQxkynnhTMUz8bp8Bf7eZlcrsCfNhbGuVW2OrFW1EWl3R35EWWJoFHM0-jr9U3gqka519W2hIYXixNz9xtNttmXUR_X94DS48HkxzBoqgoEOuYZDTRjmSoElTIykeSRVUqbMDI2S6wsFBU8FKGyzGqlleQJFxY1vdIy1AivdYzdvoBVFqMl04HV74Px-cVS9bsAJh_olQYIXdImlZFzHSqK6acojhL66AD0PpCP0O1DjFwfcsev4VWDTsk3L05vYMWUG7Dm61XeYWugm1Z3cB8ghz80GmK2CZ9dcbU6zzdBaEl8ECapLNFXUwTHhvhIY1KVZIKwVJYongSBM05qtgWT52BlFzplVZptIJwyzW0q0HoRCOmMy54sNPZnwlAhqOvBYcu0XDfJy10Njau8NWKQv3nN3x58XJJe-4wd_yLq1pxfUriAXrTl4h7stkuRN7t5lt_LXg_2lp9xH7rHFVmaauFoBI-dcZ3iXOslfHr0vN8f1Y2d_4_2AV4OJ2en-elofPIW1qkz9WtPml3ozG8X5h3iobl630ghgfyZ5f4vZekcQA |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1fSxwxEB_siaUvUrVHr7VtKhb6snU3m91NKKXY3h2etofIFXxbkmwCguzaniJ-NL-dk032rKC--RbY2SRMJpPfJPMHYFtTBNX-CowVESsyGXET24izqkqZzDmvnKH4e5rv_WH7x9nxElx3sTDOrbLTia2irhrt7sh3KMsETVKeJzs2uEUcDsffz_5GroKUe2ntyml4ETkwV5dovs2_TYa41p8oHY9mP_eiUGEg0ikvaKQZK1QlqJSJSSRPrFLaxImxRWZlpajgsYiVZVYrrSTPuLCo9ZWWsUaorVPs9hksF2gUxT1Y_jGaHh4tjgEXzOSDvvIIYUwe0ho5N6KqOvmSpElG7xyG3h_yDtL9Hy-3B974JawGpEp2vWitwZKp12HF1668wtZIh1Z_dBsshz8EbTHfgK-u0Fqb85sgzCQ-IJM0lujTEwTKhvioY9LUZIYQVdYoqgRBNE5q_gpmT8HKPvTqpjavgXDKNLe5QEtGILwzLpOy0NifiWOFAG8AnzumlTokMnf1NE7LzqBB_pYtfwewtSA989k77iPqt5xfULjgXrTr0gFsdktRhp09L2_lcAAfF59xT7qHFlmb5sLRCJ46QzvHubZL-PDo5XA4aRtvHh_tAzxHeS9_TaYHb-EFdVZ_61SzCb3zfxfmHUKjc_U-CCGB8onF_gZ7KSB1 |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Modelling+the+impact+of+climate+change+on+Tanzanian+forests&rft.jtitle=Diversity+%26+distributions&rft.au=John%2C+Elikana&rft.au=Bunting%2C+Pete&rft.au=Hardy%2C+Andy&rft.au=Roberts%2C+Osian&rft.date=2020-12-01&rft.issn=1366-9516&rft.eissn=1472-4642&rft.volume=26&rft.issue=12&rft.spage=1663&rft.epage=1686&rft_id=info:doi/10.1111%2Fddi.13152&rft.externalDBID=10.1111%252Fddi.13152&rft.externalDocID=DDI13152 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1366-9516&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1366-9516&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1366-9516&client=summon |