WMC Peports 46 WCMC Biodiversity Bulletin No.1 Priorities for Biodiversity Conservation in the Tropics By World Conservation Monitoring Centre Michael J.B. Green, Martyn G. Murray, Gillian C. Bunting and James R. Paine SUMMARY This study provides an assessment of the extent to which habitats in the tropics are protected and guidance on prioritising conservation action from global and national perspectives. At the global level, investments should be strategically targeted towards biologically richer countries and habitats inadequately represented within protected areas. In the case of habitats that are well represented within protected areas, investments should be targeted towards effectively managing such sites. At national levels, countries should aim to ensure that all habitats are well represented within their protected areas system. INTRODUCTION Much of the world’s biological diversity is concentrated in the tropics, particularly where conditions are hot and wet. Tropical forests, for example, contain over half of the world’s biodiversity (WCMC, 1992). But how much of biodiversity is protected, how much is being invested in its protection and, from a global perspective, what are the priorities and most appropriate strategies for its conservation? While there have been various assessments of the status of biodiversity within each of the tropical regions (Sub-Saharan Africa: MacKinnon and MacKinnon, 1986a; Indo-Malaya: MacKinnon and MacKinnon, 1986b; MacKinnon, 1996; Pacific: Dahl, 1986; Latin America & Caribbean: Dinerstein et al., 1995), there has never been a single pantropical evaluation of conservation priorities. This study makes use of several extensive spatial datasets, not previously available, to provide for the first time a comprehensive assessment of the conservation status of biodiversity throughout the tropics. The main findings of relevance to policy makers, planners and donors are presented in this paper. Further details can be found in the full WCMC report, which also includes a more exhaustive analysis of the conservation status of tropical forests (Murray et al., 1996). WORLD CONSERVATION MONITORING CENTRE METHODS Biodiversity status In order to assess the status of biodiversity in the tropics, a habitat classification system (Box 1) was used to quantify the extent to which major ecosystems are represented within protected areas. Statistics were generated by overlaying vector datasets of protected areas and habitats, using Geographic Information System technology. All protected areas >1,000ha, and known to exist and mapped in mid-1995 were included in the analysis. A protected area is defined as : “An area of land and/or sea especially dedicated to the protection and maintenance of biological diversity, and of natural and associated cultural resources, and managed through legal or other effective means ” (IUCN, 1994). A combination of the percentage of a habitat found within a given country and its percent protection within that country was used to prioritise the need, and define the strategy, for conservation action. Box 1 Habitat classification system relative humidity), Thus, a habitat with a significant proportion (=10%) found within a particular country but largely unprotected (% represented within protected areas) is given highest priority for conservation action, the most appropriate strategy being the creation of protected areas. Conversely, a habitat that is sparsely represented (%) within a country but, nevertheless, well represented (>10%) within the national protected areas system is given lowest priority for conservation action, the most appropriate strategy being effective management within existing protected areas. These and other scenarios are explained in Box 2. The minimum of 10% for representation within protected areas is based on that agreed at the III World Congress on National Parks and Protected Areas to be an appropriate and practical target for each of the world’s major ecosystems (McNeely and Miller, 1984). This target was applied to biomes at the TV World Congress (IUCN, 1993). Investments in protected areas Expenditure on protected areas was used as an indicator of levels of investment in protecting biodiversity. Expenditure was considered for This is based on an ecofloristic zone (EFZ) classification system developed by F. Blasco and P. Legris of the Centre National de la Recherche Scientifique, University of Toulouse, France to standardise existing vegetation classifications of tropical Asia and the Pacific (Sharma, 1986; FAO, 1989). Subsequently, the classification was applied to the vegetation of Africa (Sharma, 1988) and South America (Lavenu, Bellan and Meste, 1988). It has since been digitised by FAO for the entire tropics as part of its Forest Resources Assessment 1990 Project. The classification represents potential vegetation and is based on four criteria: ° climate (mean annual precipitation, length of dry season, temperature and ° physiognomy and structure of vegetation using interpretation of satellite imagery, ° edaphic factors (soil and physical environment), and ¢ dominant or characteristic forest species of indigenous flora. Thirteen major zones are distinguished, each represented by one or more EFZs in the different tropical regions. Whereas major zones are common to all regions (except the Mediterranean which occurs only in tropical Africa), EFZs are characteristic of particular Tegions, as shown in Maps 1-3. In this study the terms habitat and major habitat are used synonymously with EFZ and major zone, respectively. Box 2 Representation of a habitat in country to protected areas (PAs) Protection of habitat in country Global priority for > conservation action National strategy for > conservation action Decision Tree for prioritising biodiversity conservation action with respect 1992 in terms of national investments, based on protected area agency budgets, and foreign aid channelled through bilateral and multilateral aid agencies (i.e. Official Development Assistance). The analysis was restricted to 15 of the 25 countries prioritised for development assistance by the United Kingdom under its Renewable Natural Resources Strategies, data for the other countries not being available. Constraints The data used in this study are subject to the following limitations: = Those protected areas whose location was not known could not be included in the analysis (estimated at <10% sites). = In cases where only point locations, rather than boundaries, were available for protected areas, circles were mapped proportional in size to the area of the site. = Estimates of foreign aid for protected areas are conservative, since it was not possible to obtain comprehensive information on relevant projects from all bilatera! and multilateral donors. Moreover, the estimates represent commitments, rather than actual disbursements, in 1992. RESULTS Pantropical overview The protection status of major habitats is summarised in Table 1 and illustrated in Map 4. The results show that: = Protected areas cover 7.7% of the tropics. = Of the five regions, South & South-East Asia and Central America & Caribbean are least well protected. e Wet and moist major habitats are better represented in protected areas than dry major habitats. This probably reflects national and foreign policies to promote the conservation of tropical rain forests, and drier habitats being more prone to conversion to agriculture. @ Major habitats well represented in protected areas are lowland wet (21.8%), mostly found in tropical America, and montane moist(11.9%). Poorly represented major habitats are premontane dry (2.9%) and montane dry (2.2%). The latter is the least extensive major habitat, with a total area of only 308,080 sq.km. “DOUY WelYNOS U! AjUO PUNO} SI _YdIWM UDEUDE}IpeW sepN|q , 66‘ LL ‘0S SSv've9'z Z8Z‘ESO'v gez'e9e'z 8Zb'ZOr'9 B6E'EEL'Z 99L'68Z ° 808'6S¥ 66S'¥ LOE'88Z ZSO'LE auldiy 080'80€ i GL6'0Z 16Z'€0Z F LE6‘LE i 8281S Aig euejuow £60298 vLS‘ZL 7SZ'B1Z 882'E9 8B L'bZL LS8'8py ISIOW SUEUOW 09s‘LLs'L F VLELLL'L S90'L¥ 2S2'002 i €26'2SP Aig euejuowald LLS'SPL'b 128894 002'88r'Z 06E'LLZ €L0'E6E Z80'v8L'L ISIOW SUEUOWAId VLy'ZvE'S Lyv'esl ‘ 9ee'Ss " ZLLBLE i 6LS'SL8"h oMeSeq / Puy pue|Mo7 VLL'€06'S TLLty ° L¥0'S6 i 0ZL‘0Er ; G68'SEEe'S puy-qns / hig ia, puejmo7 608'SZS‘Z LLL'78 LL8‘EZZ'L SES'SZ GL6'SES'Z LLL'LO9'E Aig-ang puejmo7 L6S'vZr'8 j ZLL'884 ZE9'PES'Z 3 SE9'96 Uy 6LO'E6L'L €es'LLL'y uosees Aig 6u07 UY SIO) PUE|MO7 228'SS6'P S8e’yl6'L 98 Lee’Loz ; 909'6€8'Z uosbeg Aig HoYS Ysle JSIOWY PUE}MO7 LO9‘EL9Z j 610'69Z L9Z'6b0'E 8S¥'092'% 6 ZyL'Z68 LZL'ZPL'L ISIOW AleA pueymo7 6Lv’ES8'L 89L'vE VEZ vo9'ELZ'L 4 Zss‘SOL JOM Pue|ImMo7D 4 Daly d% (uj ‘bs) vary d% (uj “bs) vary d% (uj “bs) vary soHGDY 4oloy Baly [e}OL ueaqquesy 9 eoWaWiy YINOS eisy ySeQ-4yjnoS Bisy yseq-yjnos Poly auoz soley eouawiy jeujUaD 4ejnsuy 2 Yy;NOS : suolBes jo21do4 u! spoyiqoy Jolou yo (4g) UOYDE}O1g —_: | BIQUY. = Protection of several major habitats is Salient features of the analysis are as follows: marginal (%) in certain regions, namely: seven habitats are currently not represented lowland C. America within protected areas (Box 4). sub-dry &Caribbean = 13 habitats fall exclusively within the lowland C. America territory of a single country. Such countries, ey ah eConbbean therefore, are solely responsible for their Sub-arid protection (Box 5). lowland S. & S.E. Asia arid/desertic S. America Investments in protected areas premontane dry S. & S.E. Asia Using the number of habitats within a country montane dry Africa, C-America as a measure of its biological richness, Figure 1 & Caribbean shows that biologically diverse countries tend to spend less on protected areas than less diverse countries. This is attributed to fewer Strategies for conservation action teg financial resources being available in The distribution of each habitat is summarised biologically rich countries, and agrees with a by country in the Annex, according to a range more extensive, worldwide analysis of of conservation priorities and strategies protected area investments (James et al., in defined in Box 2. press). An example of how to use the Annex is given in Levels of foreign aid for biodiversity Box 3 to show the priority and appropriate conservation, however, are weakly related to strategy for conserving a habitat within each of habitat diversity (Figure 2), suggesting that its range countries. Reference should also be donors have tended to appraise the biological made to Maps 1-3 which show the distribution richness of a country in their allocation of aid of habitats and protected areas. for conservation. Box 3 An example of how to interpret conservation priorities summarised in the Annex Reference to the Annex shows that deciduous forest (EFZ 15) in Africa is potentially found in Kenya, Mozambique, S. Africa, and Tanzania. Conservation priorities and strategies within each country are as follows: S. Africa has <10 % of EFZ 15; >10% of that which occurs in the country lies within protected areas. Global conservation priority : lowest National conservation strategy : effectively manage that which is protected. Kenya has <10% of EFZ 15; <10% of that which occurs in the country lies within protected areas. Global conservation priority : low National conservation strategy : increase representation within protected areas to at least 10%. Tanzania has >10% of EFZ 15; >10% of that which occurs in the country lies within protected areas. Global conservation priority : high National conservation strategy : effectively to manage that which is protected. Mozambique has >10% of EFZ 15; <10% of that which occurs in the country lies within protected areas. Global conservation priority : highest National conservation strategy : increase representation within protected areas to at least 10%. Although the allocation of foreign aid is unevenly distributed, Figure 3 shows that it makes a substantial difference to the total investment in protected areas in approximately one-third of countries sampled. However, foreign aid does not adequately compensate for the low level of national investments in biologically rich countries. POLICY IMPLICATIONS This study provides initial guidance on global priorities, and the most appropriate strategies, for biodiversity conservation in the tropics. Biodiversity conservation policies and interventions should be guided by the following principles: Global priorities = Investments should be strategically targeted towards habitats inadequately represented within protected areas, with priority given to countries with sole or major responsibility for their conservation. In particular, the proportionately less extensive protected area networks in South & South-East Asia and Central America & Caribbean, poorer representation of drier habitats in protected areas, and marginal or zero protection of certain habitats need to be addressed. = In the case of habitats that are well represented within protected areas, investments should be targeted towards effectively managing such sites, with priority given to countries with sole or major responsibility for such habitats. = Investments should be prioritised towards biologically richer countries. National priorities # Countries should aim to ensure that all habitats are well represented within their protected areas system. Given that the habitat classification system represents potential vegetation, conservation strategies will need to be validated by more detailed assessments of the actual distribution and condition of the vegetation at national levels. Box 4 Habitats currently not protected Tropical Africa EFZ 2 - lowland rain forest (Madagascar) EFZ 18 - wooded grassland with baobab (Angola, Zaire) Tropical Asia EFZ 14 - evergreen & semi-evergreen forest (Viet Nam) EFZ 29 - deciduous & mixed forest (Cambodia) EFZ 31 - temperate & alpine forest and scrub (Pakistan) EFZ 36 - subtropical hill forest (Sri Lanka) Tropical America EFZ 8 - cerrados (Brazil) Box 5 Countries with sole responsibility ‘or the conservation of habitats within their territory Tropical Africa Kenya (1 habitat) Madagascar (9 habitats) South Africa (10 habitats) Tropical Asia Cambodia (1 habitat) India (4 habitats) Indonesia (5 habitats) Malaysia (2 habitats) Myanmar (1 habitat) Pakistan (2 habitats) Sri Lanka (1 habitat) Viet Nam (2 habitats) Tropical America Brazil (5 habitats) Peru (1 habitat) Note: Habitats are identifiable from the Annex. Figure 1 Relation between national investment in protected areas in 1992 and habitat diversity (excluding South Africa) 8 8 $ National investment in protected areas (US$/sq.km) °o ° Number of habitats Figure 3 Relationship between types of investments in protected areas in 1992 and habitat diversity, showing that foreign aid does not adequately compensate for low national investments in biologically richer countries. ODA and national investment combined C National investment only | Solid line indicates the amount of ODA 3 Big 8 3 Figure 2 Relation between foreign aid for protected areas in 1992 and habitat diversity Total ODA for protected area projects (US $millions) FUTURE MONITORING The value of using GIS technology to quantify the representativeness of protected area systems in the tropics is clearly demonstrated by this study. However, the present analysis is limited to habitats. It should be complemented by a similar quantitative assessment of the representation of centres of species diversity, speciation and endemismm within protected areas. This study also highlights the need to procure data on the effectiveness with which protected areas are managed to guide aid interventions, particularly as investments become increasingly directed from the establishment of protected areas to their maintenance. A tripartite information system on: ® representation of tropical habitats and species hot spots within protected areas, @ effectiveness of protected area management, and ® national and foreign aid investments in protected areas would enable cost-effective strategies for conserving biodiversity in the tropics to be developed and monitored. ip2spBopow peBiN ADssig-DeEUINS) DeUINS) Dolyy YINOS pIuUDZUD] enbiquinzow @4IDZ apaspBopoyw 4p2soBopow 4p2soBopow @4IDZ uooJeWwD>) U087 D1J8IS pDueBIN, oueq!] DeUING) @11DZ uppns 11OW NDsSig-DeUINS) DeUINS) pupys) DIqUiDS poy osp4 Dung @U0e7 DUIS |pBeues ‘dey uD dy “D> obo) @U0e7 DIEIS uppns pDueBIN oueq'] DEUINS *bFZ npssig-DeuINs) peuins) pupys) uoqds) oBuo7 410A], P O}OD ‘dey uDdHyy “> uoo0JewD>) ulueg pjoBuy DEUINS *bFZ uoqds) oBuos uooJeWwiDs ppupnb7, obo) uppns jpBeues @JIOA],P @}05) uooJeWD>) ulueg ‘dey uDsiyy “D> SL9'EES‘ZL Z9E' LEv'E BLL'L91'6L1 trL'vLy'‘Tl ver'sis'Z Ly9'ZEL'D vES'60E'0LZ 69E'6LE 061'000'6 €LZ'8L OZZ'vE6' POL ZZL'SSS‘OL sp2spBopow :4seio} snonpidep Aig DUUDADS *9 }Se10} ueeiBiexe Aip ‘pupjpoom upiuppns 4S@JO} ueeiBien0 Aip 2B Pu_|PooM uDIUDpPNS 48040} UIDJ UeeJBJeAe-!1Wes Jeg NOSV&AS Ad SNO1- LSIOW GNV1MO7 ‘¥ LVLISVH YOrvn DIN “S 48010} UeesBieAe(-1WeS) 48010} ueesBieAe(-1Wes) pudjMo7 (WOOO L>) #0404 UIDs UeesBieAe(-1Wes) Aig NOSVWAS AUG LYOHS - LSIOW GNV1MO7 ‘€ LVLIGVH YOrvVn (wO0g>) 402soBopoy; :}sei0} UIDs pudjMo} WQ08>) 402soBopo- :jse10} UID pud|Mo7 WQOE>) so02soBoppow :jse10} UIDs pudjMo] up1j0Bu0>-OeUuINs) +seJ0} UID PUD|MO7 ALSIOW AY3A GNV1MO7 *Z LVLIGVH YOrVN 4S@10} UID UeesJB1eAe |DjSDOD 13M GNV1MO7:} LVLISVH YOrVIN VOINAV TWIIdOYL ysayuBlH MO7 }S8MO7 ucibal 3% ey }eVIgeH sapoo UO!}9E UONEAIBSUOD 404 Ayold jeqo|d eae 743 IVLIGVH YOrVIN 243 ¢-] sdeur ut umoys st seore poyoojoad pur syeqqey Jo UONNGINSIP oy], “SaUjUNOD jedIdou} UI SyeYIGeY JO sNyeIs UONeAIasuOD =: XU Os OV eouijy (ealdou ul syewiq WN BH JO HULNED ONROLINOW NOLLVAUSSNOD G1XOM #. = ( xosddy ) 000'000'0S : |. ajzos Sealy paqoajoid | | U01]08}01q4 iw AiG o Bo Ms Ms | oflseMeReh. Me | ss (J oe Miss 2Mo Mz) | sVr evs Hoe || os cs Mos Mc BMr Ms |) silly Bsc Gees Br gsArsWerhrerBereB2e hich 99 es je Ms Bret Oe anseMwOhellse Bo BB ( xauuy 99S ) Sap09 744 0} pushe7 | an (0) | Ol Ost ] WULNAD SNMOLINOW NOLLIVAYASNOD GTHOM (ral ou 00 | i? ce 9 Mzo ‘8°78 1s iro || T ( xosddy ) 000'000'0S : | 2129S Sealy P9}I9]01q SS zt co lt Bz Ol [| | BiSy JSBJ-UINOS JeINSU| ( xauuy 99S ) S8p04d 743 0} puahey 8e Bowes & 73 9 ic Mo ww Zr ec | ge tcHhAB ee eAcvchoroBe-o ee ve (st 9 weber se Hees he Bs 6 Hi oc Mie M2 ‘ B BISW JSB4-YINOS |BJUBUIUOD 06 Bisy [edldod| Ul syeIGeH Jo UONIaO1q te OF T T = ae. ; NOLLVAMESNOD THOM (xoiddy ) 000‘000'0S : | aje9S Vacs SPOIY Pa}Ia}Ol4 WS | zo Bs B 6 || 6e EBoc Bz 8 | ec oo My Bom l | kee Osa 9 | | sHerbheaeBey g | a cBeftuGcsh y al re Bello mes Il Be cseHiuBschti mts ueaqqued 2 Povey yjnos POUaWYy |B}UaD ihe ( xauuy 99S ) Sap09 743 0} pushe7 | | 02 02 7} iP Os : Of 7 0) os 09 fs OZ 08 06 ae Ueaqquey aul PUe BIJaWY Ue] [edGO1] Ul S}EVIGeH JO UONI8}014 e dey ALND ONIMOLINOW NOLLVAUASNOD G1HOM €-| SdeW wou} payluap! aq UD S]e}IGeH :a}0\ payoalold 9001 < paqoe}old %01 > [| paqoa}0ld %S > [il pajoajold %1 > fi pushes] WT ne $9id0J) aU} Ul SJeygeH JO UONIE}014 abe]U90I0d DoH YINOS DI|DWOS pidow43 DIY YINOS ee ele} ipssoBppow DI|DWOS pAuey uppns JoBin DIUD}LINDW 112W Dol Gs eis Hered DI|DWOS uppns JeBin OW Poy) ip2soBopow enbiquiozow pjoBbuy 91IDZ pjoBbuy obo, pudys) ulueg oueBIN enbiquinzow enbiquiozow @41DZ enbiquiozow pjoBuy DIqIWON DUDMsS}Og pidowy3 poy DUDMS}Og pilupzuD] pAuey oidoiys3 emqoqui7 DIquioZ piuDzUuD] uppns poyd olupzuDI DOLYY *S Me ly4 pIuDZUD] DEUINS) uppns Des ynoqilq emqoquilZ uppns joBeues pUeBIN ped als fel Pays enbiquipzow pedy DUE DIUD}UNDy pidoiy43 ped jpBeues \|OW DIGUIDS) peu} uooJewD>) osby DUINg pAuey puDMs}og IMD|OW ipuning @JIOA|,P 2105 DUDMS}og pjoBuy pjoBuy ped ospby DuIing pjoBuy ppuvby uopns joBeues uoojewD’) Osby DUNN DIGIUSN \MD|DW pAuey DUDMS}Og seBiny pidoiys3 ‘dey uDsiyy ‘D> ulueg DOUIY “S LSS'S08'6Z 62S'9EP'S9 9OL'LEL'YS 0S9'EZE'0S 196'L89'E 928'L09'09 ZEZ'7SB'yP L 696'6LE'L8 662 280'¥9 0€S'999'8Z 1 989'002'6 €£6'78E'VLL €68'9ZE'E 9SS'Z8Z'L Z09'S06'8Z1 799'¥28'81 Lye'vOe'rZ ZZL'SPS'B6L (W008 L-O00 L) 1se410} UOH!sUDIy D2Ufy WeUjNos :eddejs 9 eddejs-opnesd qniys LSIOW ANVLNOWS4d 8 LVLISVH YOrVIN D>1d¥ °3 :eddejs gp eddejs-opnesd qniys SILYSSAG / GidV GNVIMO7 :Z LVLIGVH YOrVN eddejs-opnesd qniys 9 eed) 4p2soBopow :eddejs-opnesd qniys ‘jexD14} snonpineq D214} "9 :eddejs-opnesd ysng 9 eed) |eyos :eddejs-opnesd ysnqg 9 ee.) 49/214} 9@ PUD|POOM qnJds peyuNiS 404214} 9g eddeys ‘OUUDADS Aig eddojs »p OuUDADS Aip Kia, GINV-SNS / ANG ANSA GNV1MO71:9 LVLIGVH YOrVIN Jp2soBoppw :484214} °g $se10} snonpidep Aq 4se40} snonpizep Aup ‘eundow ‘oquoiw uDizequinZ qoqgong YIM punjssoi6 PepooM Duupaps ssoJ6 »9 jse10} UeesBier0e Aq DUUDADS PUD puD/pooM 48010} snonpineq PUD|POOM snonpizeq AYG-SNS GNVIMO7T'S LVLISVH YOrVN jse10} ueesBiere Aip 9 oqwolw uDIZequiDZ ysau6iH MO} 1samoq uoiba % ey ; yeyQeH ~=apoo uonse uoneAasuod 10} Ajuoud jeqo|D eae 743 IVLIGVH YOrV 243 DOUYY *S DU}Y °S D>Lyy YINES Daly YINOS pidoiys3 pedy D2H}Y YINOS sp>soBppow @11DZ pIuDZUD] uppns DI|DWOS pAuey pAuey pedyu3 pluDzuD] pAuey ipuning D214} YINOS D2HIY YINOS 4p2soBppow oidoiys3 @1IDZ pjobuy apospBopow ‘dey unsiuyy “> UooJeWD>) @1IDZ ppunby piluDZUuD] DIV “S DD'S Od1DZ ppuoBy) oluDZUD] pidoiusy pAuey uppns emgoquiz lefts Pes DIY YINOS uppns ppupMy enbiquipzow pAuey ipuning pidows3 pjoBuy pAuey DiuDZUD] uppns pidoys3 DI|DWOS ppupby pDpuomy pidoiy}3 DIJDLUOS DUeEBIN pAuey ppunby) UuoOJOWID>) piquinz peuing “bj DueBIN uppns QU0e] DAIS ppupmy pedi pAuey mO7] 1Samo7 UOIDAJ % uoNde UONeAJasUOD JO Ayoud jeqo|5 812899 vYS8'y87'~ 666'SrP's 889726 Svv'ssZ GZL'9V6 72 LSZ'98Z'¥ Z18'SZ6'9 LOL'81L'7 880'S/S 6€S'S99'PE O0r'Zr UZ 6VE 96 6ZE'Z60'L 1 SLUZLE'L LBL'SVE'SL BSL'LOL'D Z8C'vP7'El 6L0'S9L'8 Zve'vO8'vz Z9E'S80'8Z v8L'PHL'S 766'6S6'L ey eae 7439 48010} ejosedwe) D2J¥ YINOS ‘euoZ UDeUDIJE}I|PE;_ D2HJ¥ YINOS ‘euoZ UDEUDJJE}|PEW DIY YINOS ‘euoZ UDeUDIJE}I|PEe_ NVANVYUSLIGAW :€b LVLIGVH YOrVN (WO00E) OrH}V °S :qn4ds euldiy (WOQO0E<) DluDzUDY ‘DAUEY ‘DIdoIy)A :qniss euidiy (W006Z-00S |) qn42s UeeiBieA]e eunjuow (4000-0002) 1se10} snaediunr (W006Z-00S L) D244y ‘Ss :4se10} UeeJBieAe eUDjUOW (W008 | <) 2b2sDBopow :punjysng ueesBiere eunjuow (WOO0E-008 L) $8240} UeesB1eAe euDjUOW LSIOW SNVLNOW ‘0b LVLIGVH YOrVN (WOOOE-00S L) #82404 snsediunr ‘qnsys ueesBieA3 (WOO0E-00S L) $8240} euDjuoW ‘gniys UeesBieAg (WO00Z-00S L) 142144 B GNA4Ys UeeJB1eAe(-1WeS) 40214} UeesByeae(-1Was) ‘yse10} qn42g punjssoi6 pyeayBiy (WOOS L-008) O>4sy WeUjNOS :4seJ0} UOHIsUDI] AUG SNVLNOWS3 4d *6 LVLISVH YOrvin so 2soBppow *}se10} DIdD| 9g eUDjUOWW sNo||AYdoJe|>¢ (WOQ00Z-000 |) $242!14} UeesB1eA0 ‘puDj/poom uUOHIsUD, | (40002-0001) #8240} g puD|poom UoH!suDI| (W008 L-0001) PUE|PooM 'g jseJ0} UOW!suDI | (WO08 L-008) 402soBppow :4ses0} UoHIsuDI | (WQO0E-000 L) $8240} UeeiBseAe eUDjUOW >g UOHIsUDI | yeVIGeH LVLIGVH YOrVN WDN {981A |oden sDwuDAW pIpU| pupjiou |, SoD] ysepp|Bung BIPOGUIDS) LSZ'ZB LZ $040} ||! UeeiBJeAe »B |D>1do4jgns ‘eUDjUCW EMO} ZY9'8SS DISAD|DW “qd 48040} EUDJLOW LOL‘VE DISAD|DYW ‘d :{S8J0} DO eUDjUuOW pUD diDI0Je\dIq LSIOW ANVLNOW3Xd :8 LVLIGVH YOPrVN UDISP1Dd DIpu| ZOZ'LL8'LE eddejs-opnesy OILYAS3G / GIy GNVIMO7 :Z LVLIGVH NOrVIN UDISI4Dq pDIpu| : 8S6'LLO‘Er eddejs-opnesd »9 jsei0} Woy ‘ercuBuoy GIYV-SNS / ANG AY3A GNV1MO7:9 LVLIGWH YOrVN Bipo| EI COIUS E9L‘ZLO'Z DAUD] US ‘DIPU] :{ses0} Uee1BJere Aq BIpol joden 8SS‘8Se'Z8 $seJ0} snonpioep Aip ‘erosBuoy dowubAy 9S0'€r6'S {SOO} Pexit »Y WOU ‘snonpisep ‘ecciBuDy WUDUJSIA JDWUDAW pened 500] ; ZZL'SO9'ZP sSe40} pexitu »B sNoNpIdep ‘eacuBuDy DIpU| Upisiod } L¥L'8ZL'LS {soso} diuoms »g erosBuDW ‘Oly ‘snonpizep Aiq PIpUl i LLU L6S'ZS DIPU| ‘q +8040} snonpidep Aiq WDUjSIA ; £6786 WON {9!A 48810} SNONpIsep PUuD|MoT AYG-8NS GNVIMO7T:S LVLIGVH YOrVN DIPoquiDS yL8'LLZ JSe10} Pexiy -B sNoNpIrep/-!WeS DIpy| ysepo|6uog jeden Z8Z'7Z8 Ov $seu0}_ snonpieq DIpuj 882'67S'E DIPU JS00> jsem :{Se10} SNONPIDep |SIOW olpu| 9€S‘06E $8010} snonpisep/-lwes pud ueei6ieAe/-1WeS pode "ip UD}sP}Dq 00z'ZEe'9 DADIDUNIY We\seAA +4SE40} sNoNpI2eq WDUJOIA, spwUDAW Dp UD] US SOD] puojioy, DIpuy DIPOquIDD 081‘0S6'Z9 $8010} pexitu »g snonpizep/-!wes NOSV3S ANG SNO1- LSIOW GNVIMO7T :? LVLIGVH YOrVN OIpu} 6Z0'ZZ0'S jse10} snonpidep/-lwes »g UeeJBeAe/-1Wes WDU}SIA 880'6LL (44000 1-00S) 15240} Jos »B UseJBseAe/-1WIES DUD] U : DIpul vLL'STL'E DAUD] US ‘DIPU| :4ses0} UeeJBJeAe/-1WIes PUD|MOT puoyinyy) WDUYSIA, SoD] apwUDAyy joden DIpoquip>) OIpU} ysepo/Bung upinug B9E'LVE'ED $8010} JOS »g UeeiBiene/-IWes pUD|Mo7 WDUjeIA apwuDAW DIpoquup>) Puojioyy ZLE‘BLS'Z (wWOOS>) se10} [DS +p UeeiBJeAe/-ILWes pUD|Mo] [petey es DIsAD|OW Z19'280'S1 Puojioyy ‘DIskDjoyW) ‘Jse10} ||!14 *B UeEeiB1eA@ pUD|MOoT LSIOW AY3A GNV1IMO7 :Z LVLIGVH YOrVN VISV LSVSHLNOS GNV HLNOS DIseuOopuU| seuddiyiud DEUINS MeN ONdDY seurddiyiud DIseuOpL| DIseuopu| DEUINS MeN ONdDdY Diseuopu| pIseuOpu| seuidi|yd Diseuopu| UD}sI4Dq olpu| DIpU| UDISIYDY UDISI4Dq UD}sIDq DIpul jodex eye spwuDAW spwuDAW DIpu| UDISI4Dq UDISI4Dg DIpU| UDISIyDg jodey UDISIYDq jpdey pipal UO TEAS DIpu} ik le Ohs jodey sDWwUDAW oIpul ysaysiy DISeuOpU| DIseuopy| seuiddijiug DIseuopu| Diseuopu| pisADjDW jpden joden upjnug WON {1A upjnug mOo7 uONoe UONeMAasSUOd JO} Awoud leunig £899'°S SZ 200 TES OV LE “S°t er sl 86E€ JSaMO7 UdIDSs & 5 ieqo|D LLS'Z6S'€ ¢86'S90'9 €0€'28S'r S8Z'Svs'sS ZSZ'E8L 8P'926'S 8yZ'L96'08 £90'€£0'r OLL'Orr' Ly 9€9'vrr'L8 0ZS'SES'9Z E8L'S6Z'Z 9Z0'SLE E99 E6L'E 08h'6SE'9 LOV'S¥Z 98L'91Z'P €70'26S'L 98 L'E9S'BL €ZS'Z9P'L LZL'6¢Z 6£6'LE6'Y LLL'¥6S €v0'9l vrPr'vet's ey eae 743 4seJ0} snonpizep Aiq 4Se10} snonpideq NOSWAS AUG 9NO1- LSIOW GNW1IMO7 : ¥ LVLIGVH YOrVN $8010} snonpidep-iwes jsiow Ale, 4SeJ0} SNONpIDep-iwes jsIoy NOSV4S AUG LYOHS - LSIOW GNVIMOT : € LVLISVH YOrVN (WOOF L-00S) Dquing :jse10} ueesBi10eA3 (WOOO L-O0E) Sul] S,e20]|D/AA 4O JseM {se10} UeeIBIEAZ (WOOF L>) eUl] S,e2D]}D,\4 40 }sDe :}se10} Uee1BJ0AR (WOOG>) eur] s,e2D}}DAA JO JsDe +jse10} UeeJBIeA3 (WOOOL>) eUul] S,e20]/D/A JO ISOM :4se10} USeJB1eA3 (WQOE>) eUul) s,e2D]|DAA JO SEM +4Se10} UEEIBIEAZ LSIOW AY3A GNV1MO7 : Z LVLIGVH YOrVA visv¥ LSV3-HLNOS YVINSNI (WOO0Sr-00SZ) qn42s Jediun! pomp ‘eddejs euldjy (WOOO0r) qn425 euldiy S010} @UId|D »p euldjpgns ‘eyosedwe} jsioy 3SNId1V : Zb LVLIGVH YOrVN soso} ejoJedwey} Aip uDApj ow! LY} AUG ANVLNOW : bb LVLISVH YOrVN S010} EUId|D-qns »9 e,DJedu9} jsiow UDAD|DWI}Y S010} e}OLod Wo} jsIOW UDAD|DWWILY WE}Se/AA, {soso} euld|D-qns pup eyDJedwe; euDjuow 48010} e;DJedWe}, eUDJUOW LSIOW SNVLNOW : 0b LVLISVH NOrVN UD}SI4Dg ‘M\'N :eddeys-opnesg }se10} usesBsene Aip jp21do4qns AMG SNVLNOWSd : 6 LVLIGVH YOrVN jS@10} eJO1ed We} UDAD|DWWILY »g eUId jOD1IdO14-qns SDAD|DUUI}Y UJEJseAA :}S010} eUId jD>1dO44-qns DUD] US 9 DIPU| “g :{se40} EUDJUOW *® ||} DYUDT] US ‘DIPU] “g :¥Se1O} III OIIdO44-qns jSeJ0} pexiu ejosedue} pud euDjUOW 1eyGeH IVLIGWH MOVIN Lv Ov LE £2 El Zl Lt Ol 4 02 6€ 8 LE Lee fe] Avn6oing l!z04g pjenzeus, j!z01g DIquo|oD 12039 njed Joppn23 ApnBoing [!204g [!204g DIquiojoD nied DEUINS MEN DNddg DeUINS MER DNddg DeUINS MEN ONddg DISeuOpU| Nseg DIAI|Og [12049 DIAIIOg D|SNZEUuBA \!z04g DIquIo}oD j!z4g DIseuopU| Diseuopu| pisADjDW Diseuopu| Diseuopu| seurddiytud pisADjDW Diseuopu| DEUINS MeN ONdDYg DIseuopu| BIquiojo5 IZD1g AonBoing DIAI|Og @WDULINS pupdns) BIGMoles) DIAI|Og @WDULINS pupdns) DUDINE) “4 4opono3 Feyfs effets) @WDULNS neg pupdns) DUDING) “4 Jopona3 DUDIN) “4 Jopono3 [!204g Djenzeue, nied pjenzeue, DIquiojoD Djenzeus, 4oppn23 vlV LL \ZL00 OL LZ 6lZl 8L°0 AA Sco veVv LEL8'E A) 6S°0 GLO'SZZ'E 9L6'9EP'6L 97S'E08'F | yLLBLL'P6L GE6'¥60'¥Z 186'90¢ L19'709 26S'S08'E £9Z'09Z'9Z LLO‘ESZ'LIL LO9’69L GEL'9Z6'FOE L8E'69E' LLL OL6'6S¥ €Lv'969'S LSe'ZE9 BSS'ZZI'LL 78¢'996'6 088'940'L Sv9'90S'L pBuyod> ‘enpisep jeso4 AUYG-NS GNVIMO7 : S LVLISVH YOrV ejuesiAedues jes04 JOubjUu_Y soup|| j@ eydiowolex jo104 enpizep jol04 SOpPDJJe>) s2eS SIOW G-¢ ‘alsIDId je eNpIDep jelo4 NOSVW3S AUG DNO1- LSIOW GNVIMOT : ¥ LVLISVH YOrVA S2@S SIOW ( ‘ejUeJIAJedWes jel04 Sdes SIOW p-( ‘ejUesIAIedWes jo104 sdes sIOW p-Z ‘eJelUUOSIDS ejUelIAJedWes jo104 S2@S SIOW f-( ‘ejUeJIAIedWes jo104 NOSVW&S ANG LYOHS - LSIOW GNV1IMO7 : € LVLISVH YOrVN sdes siow g-| ‘e|lydouquio jo104 LSIOW AY3A GNVIMOT : Z LVLISVH YOrVN soes sIoW Q ‘ej!ydoquo je104 13M GNV1MO7 : | LVLIGVH YOrvVin el cl Ll OL VOIMSWV HLNOS IWdIdOUL DEUINS MEN :qnJds pud punjssDJ6 euidiy SNId1V : ZL LVLIGVH YOrVAN UI] S,E2D]||DAA JO JSD +4SE1O} SNOJO}IUOD ‘Je4D14, EUDJUOW OUI] S,E2D]]D/AA JO SOM :}SO10J SNOJO}IUOD ‘Jo414} EUDJUOW LSIOW SNVLNOW : 0} LVLISVH YOrVN Ul] S,82D]|DM JO SDJ :jse0} UBesBieAre euDjuCW OUI] S,E2D||DA 40 {SOM :4Se10} UBe1B1eAe EUDjJUOW LSIOW SANVLNOW3Hd : 8 LVLISVH NOVA SDPUNS Jesse] :}64D14} sNO||AYdoJe)Ds ‘jse10} snonpiDeq DeEUINS) MeN :}S010} sNONpIDEeq AYG-NS GNVIMO7 : S$ LVLIGVH YOrVN Zl ol Sl vi el cl LL sbdINPUO} DI!y DJSO> nied pialjog nied pIAI|Og DIquiojoD nied DIquio|oD [!2049 nied pupdns Jopon23 dIquio|oD nied |!z04g [!204g neg nied AonBoidg DIAI|Og BIGUIC|2S) |!2044 Jopon23 pnBoipsiy, ODIxey pjDWejons DWIDUDg pnBoipsiy 4Opono3 DIqUic|o> Djenzeue, DIGWo|o5 neg DIAIOg Djenzeue, nied |IzD1g DIAI|Og pjenzeue,, DIquiojo> DIAl}Oog Djenzeue, pjenzeue,, pjenzeue,, ednojepons) JOPDAIDS |Z ‘dey upsiviw0g SDINPUO}L{ D|DWEe}ONS) Diquiojo DiAljog Jopono4 jopon>3 |!204g lca pupdns AonBoing DIAI|Og 4opond3 \!z03g pqn> D21y DJSOD, ezijeg pjenzeue, Jopon>4 pIquiojo> Djenzeue, nied Djenzeue, Joppn23 Djenzeue, pjenzeue, \!204g DIGWO}O> 658'106'9Z 8789 LP'E ¥18'086'Sr Z80'6Z£'0Z Z6S'¥18'9 ZE9'B1LZ'P 8r6'162'0L 02S'90Z'r O18‘ Z61'Z ZS¥'6S9 8e8'E0S'1 Z08'612'SL Ly6'LLS‘OE 897'ESE'9P 6Z8‘EZe' Ly LSS'€es'sS 9ZL'¥0S'6 LyO'LyZ've £1Z'028'4 9S8'88r'r8 LSIOW AY3A GNVWIMOT : 2 LVLISVH YOrVIN 13M GNV1MO7 : } 1VLISVH YOrVN NV38e8lyVo ONV VOINSNV IWYLNAD eulpud esneyidsed eesDq1ey e}NDUNWWO7) ANId1V : Zb LVLIGVH MOV enpisep euBpjuow ep jeso4 AUG ANVLNOW : bb LVLIGVH YOrvin epsnuBpjuow eJeiuuosiDs ejUesIAedWes jo104 PsD||INO1g ep eiydoiqwo ejDrI1do4 je104 ej!ydouqwo epsnuBpjuow ejD21do44 jesoy LSIOW ANVLNOW : 0b LVLISVH YOrVN epinuBpjuowans je enpidep jes04 AUG ANVLNOWSUd : 6 LVLISVH YOrvVN eJeiuUOsSIDS ejUeJIAedues je104 ejuellAiedwes esuep jo104 epipuBpjUuoWgns ejD>1do4j/qns ejuesiedwies jaso4 @YIDJ} UOSIDS BUN DEAD ejUesIAJedWesS JesO4 ejiudouquio epinuBpjuOWans ejD31d044 jq10 !4yeosq P. q Je! 4 anbuexo ewe ‘ejueiledwes je104 eY>1D4} ‘SOpD14987> LSIOW ANVLNOWSUd : 8 LVLISVH YOrVIN sdes slow Z|-O| ‘enbipesep eucZ 91143S30 / GV GNVIMOT : 2 LVLIGVH YOrVIN Sdes SIOW 6-g ‘eydioWOJex jo104 GIYW-GNS / ANG ANZA GNV1MO7 : 9 LVLISVH YOrV @NPIIEp SJID]I jo1O4 @NPIIep JID} jO1O4 oBuyjop5 MO? \SaM07 ude) % ey yeyiqeH UOI}De UONEAJ@SUOD JO} AyoUd jeqo|D eave 743 AVLISVH YOrVN ooIKey ODIXey pjbWeyoNs) SDINPUO}} 4IOH ODIKeW pjDWe}DNS pqn> Od'y Openg poipwor 4IDH OSIXOyy JOPDAIDS | sDINPUo}} pjDWeyoNs spwpyog “S| SOIIDD B SNL ODIxXeyy spwpypg oDIxew spWDYDg “S| SODIDD "8 SUN] poIpwor 4IDH oqn> oDIKew spwipypg (Sin) ’s} UB, (4g) *s] usBu,, oBpqo] »g popluuiy SOUIPDUBIS *B “A 41S SIAON "8 SHDI 4S Osly opendg pwUDY pnBop> IN Sel|Uy SPUDHEUYEN sDUes}UOW, WIDH pppuels) AOPDAIDS |3 ‘dey upsiuiwog D2IY SOD spupjs} unwAd> SOpoqDg ooKey spwpypg ogn> = Opnqing °g onByuy oBpqo| 9 popiuny SOUIPDUGID 'B “A IS DIN] 4S Oly OpeNng }O.ESUOW poIDWOF DWIDUDY YIOH Dy DJso> poipwor ‘dey upsiuiwog DWDUDY pnbopsIN enbiuyoy, ‘dey up2iuiwog pqn5 Doty Dyso*) ezieg poIDWoF sDuNpUO}Y DJOWE}ONs) ze (4g) “sj uiB.1, enbiuiow poIUIWOGg 820 Zv'0 Or Ly OV LL cLS 6S'L 80'€ at dt 0Sr'260'Z LEP’ LSZ'L ery’ lel' Ltt €80'Z88'9r LvL'PvE'sl €v2'LLZ'v Br L'Z2Z'8 SZZ'LL8'8r AMG ANVLNOW : bb LVLIGWH YOrVn LSIOW ANVLNOW : 0b LVLIGVH YOrvN AUG ANVLNOWS3Yd : 6 LVLISVH YOrVN LSIOW ANVLNOWSUd : 8 LVLIGVH YOrVN SILY3AS3C / Gv GNVIMOT : Z LVLIGVH YOrv GIdv-GNs / ANG AY3A GNVIMO7 : 9 LVLIGVH YOrvVN AUG-SNS GNVIMOT : S LVLIGVH NYOrVN NOSVAS ANG DNO1- LSIOW GNV1IMO7 : » LVLIGVH YOrVAN BIBLIOGRAPHY Dahl, A.L. 1986. Review of the Protected Areas System in Oceania. IUCN, Gland, Switzerland and Cambridge, UK/ UNEP, Nairobi, Kenya. Dinerstein, E., Olson, D.M., Graham, D.J., Webster, A.L., Primm, S.A., Bookbinder, M.P. and Ledec, G. 1995. A Conservation Assessment of the Terrestrial Ecoregions of Latin America and the Caribbean. The World Bank, Washington D.C. FAO 1989. Classification and Mapping of Vegetation Types in Tropical Asia. FAO, Rome. James, A.N., Green, M.J.B. and Paine, J.R. (in press). National Investments in Biodiversity Conservation. World Conservation Monitoring Centre, Cambridge, UK. IUCN 1993. Parks for Life: Report of the IVth World Congress on National Parks and Protected Areas. IUCN, Gland, Switzerland. IUCN 1994. Guidelines for Protected Area Management Categories. CNPPA with the assistance of WCMC. IUCN, Gland, Switzerland and Cambridge, UK. Lavenu F, Bellan M.E and Meste C. 1988. Carte Eco-floristique de l Amerique du Sud. FAO, Rome. MacKinnon, J. and MacKinnon, K. 1986a. Review of the Protected Areas System in the Afrotropical Realm. IUCN, Gland, Switzerland and Cambridge, UK. MacKinnon, J. and MacKinnon, K. 1986b. Review of the Protected Areas System in the Indo-Malayan Realm. IUCN, Gland, Switzerland and Cambridge, UK. MacKinnon, J. (Ed.) 1996. Review of Biodiversity Conservation in the Indo-Malayan Realm. Draft. Prepared by the Asian Bureau for Conservation in collaboration with the World Conservation Monitoring Centre. The World Bank, Washington D.C. McNeely J.A. and Miller K.R. (Eds) 1984. National Parks, Conservation, and Development: The Role of Protected Areas in Sustaining Society. Smithsonian Institution, Washington, D.C. Murray, M.G., Green, M.J.B., Bunting, G.C. and Paine, J.R. 1996. Biodiversity Conservation in the Tropics: Gaps in Habitat Protection and Funding Priorities. Overseas Development Administration Research Project R6190. World Conservation Monitoring Centre, Cambridge, UK. Sharma, M.K. 1986. Eco-floristic Zone and Vegetation Maps of Tropical Continental Asia. FAO, Rome. Sharma, M.K. 1988. Eco-floristic Zone Map of Africa. FAO, Rome. World Conservation Monitoring Centre 1992. Global Biodiversity: Status of the Earth’s Living Resources. Chapman and Hall, London. ACKNOWLEDGEMENTS This study was funded by the Overseas Development Administration, UK under its Renewable Natural Resources Research Strategy (Research Project R6190 - Investments in Conservation Areas in the Tropics). Particular thanks are due to Howard Wright and Anne Bradley of the Forestry Research Programme, Oxford Forestry Institute which manages the Forestry Research Strategy for the UK Government. The study is the product of several major projects previously carried out by WCMC, notably the compilation of an atlas of the world’s tropical forests in collaboration with IUCN - The World Conservation Union (funded principally by British Petroleum p.l.c.), an assessment of the conservation status of tropical managed areas as a contribution to the FAO Forest Resources Assessment 1990 (funded by the Overseas Development Administration, UK), and a review of financial investments in biodiversity conservation (funded by the European Commission). It has also benefited from an ongoing review of the Indo-Malayan protected areas system, funded by the World Bank and executed by Dr John MacKinnon, Asian Bureau for Conservation in close association with WCMC. Massimiliano Lorenzini and George Muammar, FAO Forest Resources Assessment 1990 Project kindly made available in digital format the ecofloristic classification system. The project was originally conceived by Dr Mark Collins, Director of WCMC. The authors are very grateful to Victoria Freeman for secretarial assistance. Christine Carey-Noble, Mary Edwards and Ronan Smith also contributed to this study. For further information please contact: The Information Officer World Conservation Monitoring Centre Tel: +44 (0)1223 277314 219 Huntingdon Road Fax: +44 (0)1223 277136 Cambridge CB3 ODL, United Kingdom e-mail: info@wcmc.org.uk