Supplementary Information (Online only): Identification of areas in Brazil that optimize conservation of forest carbon, jaguars, and biodiversity

Download 0.65 Mb. Page 5/6 Date 14.05.2017 Size 0.65 Mb. #18135

Trairão

Pará	282.97	349.5	0.53	Amazonia	1087073	> 60%	Absent	JP2	NT	1	Extremely high
São João da Baliza	Roraima	282.94	308.83	0.49	Amazonia	376796	> 60%	Present	JP2	NT	2	Extremely high
Buritis	Rondônia	282.27	281.87	10.07	Amazonia	114126	30 - 60%	Absent	JP2	NT	2	Very High
Cujubim	Rondônia	281.64	291.38	3.75	Amazonia	250982	> 60%	Absent	JP4CB	NT	2	High
São Luiz	Roraima	281.02	258.2	1.9	Amazonia	98201	> 60%	Absent	JP2	NT	2	Extremely high
Rondolândia	Mato Grosso	280.75	322.35	0.53	Amazonia	1073652	> 60%	Present	JP4CB	NT	2	Extremely high
Ipixuna do Pará	Pará	280.55	289.45	3.42	Amazonia	257175	30 - 60%	Absent	JP4CB	NT	0	Extremely high
Tartarugalzinho	Amapá	280.43	318.32	0.92	Amazonia	239735	30 - 60%	Absent	JP3	NT	1	Extremely high
Machadinho D'Oeste	Rondônia	280.42	288.49	3.06	Amazonia	533137	> 60%	Absent	JP2	NT	2	Extremely high
Altamira	Pará	279.76	346.1	0.37	Amazonia	14505422	> 60%	Present	JP2	NT	1	Extremely high
Cerejeiras	Rondônia	279.18	154.51	1.59	Amazonia	75909	20 - 30%	Absent	JP4CB	NT	2	Extremely high
Viseu	Pará	278.98	229.36	2.32	Amazonia	107138	20 - 30%	Absent	JP1	NT	0	Very High
Itinga do Maranhão	Maranhão	278.36	264.31	4.63	Amazonia	105517	20 - 30%	Absent	JP4CB	NT	0	Very High
Bom Jesus do Tocantins	Pará	278.28	273.36	2.63	Amazonia	98510	30 - 60%	Absent	JP5CN	NT	1	Extremely high
Brasil Novo	Pará	278.02	281.44	6.07	Amazonia	321044	30 - 60%	Absent	JP4CB	NT	2	Extremely high
Goianésia do Pará	Pará	277.49	277.37	3.25	Amazonia	291439	30 - 60%	Absent	JP5CN	NT	0	High
Governador Jorge Teixeira	Rondônia	277.23	331.05	0.94	Amazonia	355104	> 60%	Absent	JP2	NT	2	Extremely high
Paulo Frontin	Paraná	276.35	127.11	0.58	Atlantic Forest	12257	30 - 60%	Absent	JP5CN	CR	4	Extremely high
Iranduba	Amazonas	276.04	218.48	0.69	Amazonia	102438	30 - 60%	Present	JP3	NT	4	Extremely high
Tailândia	Pará	275.18	310.79	3.78	Amazonia	233614	30 - 60%	Absent	JP4CB	NT	0	Extremely high
Clevelândia	Paraná	274.59	163.13	0.35	Atlantic Forest	10440	< 20%, >10000 ha	Absent	JP5CN	CR	3	Extremely high
Baião	Pará	273.77	220.93	1.42	Amazonia	143613	30 - 60%	Absent	JP4CB	NT	1	Very High
Vila Bela da Santíssima Trindade	Mato Grosso	273.36	148.87	3.69	Amazonia	225124	< 20%, >10000 ha	Absent	JP4CB	NT	2	Very High
Caroebe	Roraima	272.87	311.54	0.36	Amazonia	1061682	> 60%	Absent	JP2	NT	2	Extremely high
Novo Progresso	Pará	272.41	338.44	1.45	Amazonia	2964502	> 60%	Present	JP2	NT	1	Very High
Cabixi	Rondônia	272.07	141.06	5.07	Amazonia	33680	20 - 30%	Absent	JP4CB	NT	2	Extremely high
São Félix do Xingu	Pará	272.05	327.24	1.75	Amazonia	6317498	> 60%	Present	JP2	NT	1	Extremely high
Ji-Paraná	Rondônia	271.78	304.68	0.43	Amazonia	421993	> 60%	Absent	JP4CB	NT	2	Extremely high
Rondon do Pará	Pará	271.56	280.99	5.47	Amazonia	294482	30 - 60%	Absent	JP5CN	NT	0	High
Buriticupu	Maranhão	270.76	198.18	6.16	Amazonia	67442	20 - 30%	Absent	JP5CN	NT	0	Very High
Santa Cruz do Xingu	Mato Grosso	270.53	244.51	1.9	Amazonia	259768	30 - 60%	Present	JP2	NT	1	High
Vale do Anari	Rondônia	269.79	296.59	2.88	Amazonia	193577	> 60%	Absent	JP4CB	NT	2	Extremely high
Alta Floresta D'Oeste	Rondônia	269.33	273.26	2.17	Amazonia	297148	30 - 60%	Absent	JP4CB	NT	2	Very High
Nova Mamoré	Rondônia	268.91	301.52	3.11	Amazonia	599234	30 - 60%	Absent	JP2	NT	2	Very High
Mocajuba	Pará	268.78	143.6	0.31	Amazonia	13659	< 20%, >10000 ha	Absent	JP4CB	NT	0	Very High
Bom Jardim	Maranhão	268.59	296.36	1.99	Amazonia	247791	30 - 60%	Absent	JP1	NT	0	Very High
Marabá	Pará	268.49	315.72	3.53	Amazonia	697686	30 - 60%	Present	JP5CN	NT	1	High
Aripuanã	Mato Grosso	268.2	325.45	1.27	Amazonia	2075289	> 60%	Present	JP4CB	NT	2	Extremely high
Itupiranga	Pará	267.87	314.54	3.81	Amazonia	340099	30 - 60%	Present	JP5CN	NT	1	High
Apiacás	Mato Grosso	267.56	306.4	1.07	Amazonia	1701541	> 60%	Absent	JP2	NT	2	Extremely high
Ulianópolis	Pará	267.42	257.49	5.99	Amazonia	173818	30 - 60%	Absent	JP4CB	NT	0	Very High
Bom Jesus das Selvas	Maranhão	266.81	216.5	6.52	Amazonia	57481	20 - 30%	Absent	JP5CN	NT	0	Very High
Nova Esperança do Piriá	Pará	266.38	293.81	2.55	Amazonia	72458	20 - 30%	Present	JP1	NT	0	Extremely high
Paranaíta	Mato Grosso	266.19	281.73	4.52	Amazonia	253185	30 - 60%	Absent	JP2	NT	2	Extremely high
Marcelândia	Mato Grosso	265.47	267.47	1.85	Amazonia	864688	> 60%	Present	JP2	NT	1	Very High
Seringueiras	Rondônia	265.19	280.23	2.81	Amazonia	187955	30 - 60%	Absent	JP2	NT	2	Extremely high
Cotriguaçu	Mato Grosso	264.92	317.24	2.27	Amazonia	741586	> 60%	Present	JP2	NT	2	Extremely high
Feliz Natal	Mato Grosso	264.45	266.41	1.32	Amazonia	875459	> 60%	Present	JP2	NT	1	Very High
Nova Bandeirantes	Mato Grosso	263.83	308.76	3.33	Amazonia	636230	> 60%	Absent	JP2	NT	2	Very High
Mangueirinha	Paraná	263.81	173.23	0.77	Atlantic Forest	13677	< 20%, >10000 ha	Absent	JP5CN	CR	4	Extremely high
Tucuruí	Pará	263.05	260.62	1.59	Amazonia	89258	30 - 60%	Present	JP4CB	NT	1	Extremely high
Tomé-Açu	Pará	262.66	303.47	2.36	Amazonia	227449	30 - 60%	Absent	JP4CB	NT	0	Extremely high
Acará	Pará	262	307.04	2.38	Amazonia	196688	30 - 60%	Absent	JP4CB	NT	0	Very High
São Miguel do Guaporé	Rondônia	258.57	280.96	1.73	Amazonia	413310	30 - 60%	Absent	JP2	NT	2	Extremely high
Breu Branco	Pará	258.35	232.69	5.67	Amazonia	102363	20 - 30%	Absent	JP4CB	NT	0	High
Dom Eliseu	Pará	258.28	279.93	5.4	Amazonia	196955	30 - 60%	Absent	JP4CB	NT	0	Extremely high
União do Sul	Mato Grosso	257.48	265.17	2.01	Amazonia	354188	> 60%	Present	JP2	NT	1	Extremely high
Alto Alegre dos Parecis	Rondônia	257.43	288.74	2.8	Amazonia	175595	30 - 60%	Absent	JP4CB	NT	2	Extremely high
Matupá	Mato Grosso	256.81	309.22	2.79	Amazonia	306314	30 - 60%	Present	JP2	NT	1	Very High
Maranhãozinho	Maranhão	256.45	305.96	3.94	Amazonia	2025	< 5000 ha	Absent	JP1	NT	0	High
Ourilândia do Norte	Pará	255.91	309.54	0.4	Amazonia	948561	> 60%	Present	JP2	NT	1	Extremely high
Campo Novo de Rondônia	Rondônia	254.96	311.27	6.5	Amazonia	136936	30 - 60%	Absent	JP2	NT	2	Extremely high
Cidelândia	Maranhão	253.95	184.72	8.91	Amazonia	15698	< 20%, >10000 ha	Absent	JP5CN	NT	0	Very High
Peixoto de Azevedo	Mato Grosso	253.83	298.54	1.67	Amazonia	989174	> 60%	Present	JP2	NT	1	Very High
Jacundá	Pará	253.68	151.41	6.5	Amazonia	29945	< 20%, >10000 ha	Absent	JP5CN	NT	0	High
Cantá	Roraima	252.95	250.49	0.92	Amazonia	525015	> 60%	Absent	JP2	NT	2	Extremely high
Querência	Mato Grosso	252.39	226	2.44	Amazonia	1048299	30 - 60%	Present	JP2	NT	1	Very High
Francisco Beltrão	Paraná	251.68	122.46	2.05	Atlantic Forest	1431	< 5000 ha	Absent	JP5CN	CR	4	Not Priority
Espigão D'Oeste	Rondônia	251.48	289.32	1.83	Amazonia	216005	30 - 60%	Present	JP4CB	NT	2	Extremely high
São José do Xingu	Mato Grosso	250.6	215.83	1.76	Amazonia	281776	30 - 60%	Present	JP2	NT	1	Very High
Mirante da Serra	Rondônia	250.54	263.3	3.25	Amazonia	35997	30 - 60%	Absent	JP2	NT	2	Extremely high
Santa Tereza do Oeste	Paraná	250.29	115.41	2.04	Atlantic Forest	1259	< 5000 ha	Absent	JP3	CR	3	Extremely high
Nova Ipixuna	Pará	249.31	114.2	7.36	Amazonia	23689	< 20%, >10000 ha	Absent	JP5CN	NT	1	Very High
Cacaulândia	Rondônia	248.85	242.59	7.98	Amazonia	48597	20 - 30%	Absent	JP2	NT	2	Extremely high
Monte Negro	Rondônia	247.31	259.19	7.85	Amazonia	55808	20 - 30%	Absent	JP2	NT	2	Extremely high
Cacoal	Rondônia	246.81	274.06	2.03	Amazonia	129660	30 - 60%	Present	JP4CB	NT	2	Extremely high
Vargeão	Santa Catarina	246.14	194.22	0.55	Atlantic Forest	1189	< 5000 ha	Absent	JP5CN	CR	3	Very High
Ariquemes	Rondônia	244.4	227.38	5.9	Amazonia	121450	20 - 30%	Absent	JP4CB	NT	2	Not Priority
Nova Ubiratã	Mato Grosso	243.77	220.21	3.98	Amazonia	683755	30 - 60%	Present	JP2	NT	1	Very High
Confresa	Mato Grosso	242.38	208.3	7.31	Amazonia	162876	20 - 30%	Absent	JP4CB	NT	1	High
	Maranhão	241.97	281.54	1.44	Amazonia	11354	< 20%, >10000 ha	Absent	JP1	NT	0	Very High
Honório Serpa	Paraná	241.03	120.81	1.09	Atlantic Forest	3552	< 5000 ha	Absent	JP5CN	CR	4	Not Priority
Juína	Mato Grosso	240.91	309.07	0.66	Cerrado	2192173	> 60%	Present	JP4CB	EN	2	Extremely high
Guarantã do Norte	Mato Grosso	240.36	259.12	4.83	Amazonia	161417	30 - 60%	Present	JP2	NT	1	Very High
Manfrinópolis	Paraná	240.31	111.63	1.45	Atlantic Forest	242	< 5000 ha	Absent	JP5CN	CR	4	Not Priority
Gaúcha do Norte	Mato Grosso	239.78	203.78	2.03	Amazonia	987778	30 - 60%	Present	JP2	NT	1	Very High
Ouro Verde	Santa Catarina	239.68	96.02	0.29	Atlantic Forest	228	< 5000 ha	Absent	JP5CN	CR	3	Very High
São José das Palmeiras	Paraná	238.4	70.58	0.64	Atlantic Forest	2823	< 5000 ha	Absent	JP4CB	CR	4	High
Mucajaí	Roraima	237.87	314.99	0.83	Amazonia	769106	> 60%	Absent	JP3	NT	2	Extremely high
São José do Cedro	Santa Catarina	237.38	99.02	0.55	Atlantic Forest	1282	< 5000 ha	Absent	JP3	CR	3	Very High
Mariópolis	Paraná	236.17	102.73	0.64	Atlantic Forest	669	< 5000 ha	Absent	JP5CN	CR	3	Not Priority
Vila Rica	Mato Grosso	236.03	250.43	6.5	Amazonia	272166	30 - 60%	Absent	JP4CB	NT	1	High
São Bernardino	Santa Catarina	235.59	111.6	0.68	Atlantic Forest	1028	< 5000 ha	Absent	JP5CN	CR	3	Not Priority
Alvorada D'Oeste	Rondônia	234.13	264.9	2.37	Amazonia	86194	20 - 30%	Absent	JP2	NT	2	Extremely high
Bannach	Pará	232.41	245.83	7.56	Amazonia	78795	20 - 30%	Present	JP2	NT	1	High
Arame	Maranhão	232.23	200.6	2.21	Amazonia	102328	30 - 60%	Absent	JP5CN	NT	0	Very High
Pimenta Bueno	Rondônia	231.8	263.68	2.54	Amazonia	285206	30 - 60%	Present	JP4CB	NT	2	Very High
Vitória do Xingu	Pará	230.7	175.17	6.27	Amazonia	64266	20 - 30%	Absent	JP4CB	NT	1	Extremely high
Vilhena	Rondônia	230.68	301.03	0.67	Amazonia	835356	> 60%	Absent	JP4CB	NT	2	Extremely high

* The 159 municipalities shown here are the result of our primary analysis which focussed on the use of the Reusch & Gibbs (2008) carbon dataset. However in Supplementary Material (Appendix S6), we investigated how our results would be affected by the use of a different dataset (Saatchi et al 2011). In some municipalities, Saatchi et al (2011) provide a lower estimate for tonnes of carbon per hectare in remnant forest; consequently, fewer municipalities met our threshold criteria being “High carbon” (>230 Tonnes C/ha) and thus fewer municipalities were selected as REDDspots (n=103).

See Table1 in the main paper for further explanation about categories.

Download 0.65 Mb.

Share with your friends: