ALBERT

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Aide, T Mitchell -- Grau, H Ricardo -- New York, N.Y. -- Science. 2004 Sep 24;305(5692):1915-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, University of Puerto Rico, San Juan, PR 00931-3360. tmaide@yahoo.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15448256" target="_blank"〉PubMed〈/a〉

Description: Land-use change occurs nowhere more rapidly than in the tropics, where the imbalance between deforestation and forest regrowth has large consequences for the global carbon cycle. However, considerable uncertainty remains about the rate of biomass recovery in secondary forests, and how these rates are influenced by climate, landscape, and prior land use. Here we analyse aboveground biomass recovery during secondary succession in 45 forest sites and about 1,500 forest plots covering the major environmental gradients in the Neotropics. The studied secondary forests are highly productive and resilient. Aboveground biomass recovery after 20 years was on average 122 megagrams per hectare (Mg ha(-1)), corresponding to a net carbon uptake of 3.05 Mg C ha(-1) yr(-1), 11 times the uptake rate of old-growth forests. Aboveground biomass stocks took a median time of 66 years to recover to 90% of old-growth values. Aboveground biomass recovery after 20 years varied 11.3-fold (from 20 to 225 Mg ha(-1)) across sites, and this recovery increased with water availability (higher local rainfall and lower climatic water deficit). We present a biomass recovery map of Latin America, which illustrates geographical and climatic variation in carbon sequestration potential during forest regrowth. The map will support policies to minimize forest loss in areas where biomass resilience is naturally low (such as seasonally dry forest regions) and promote forest regeneration and restoration in humid tropical lowland areas with high biomass resilience.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Poorter, Lourens -- Bongers, Frans -- Aide, T Mitchell -- Almeyda Zambrano, Angelica M -- Balvanera, Patricia -- Becknell, Justin M -- Boukili, Vanessa -- Brancalion, Pedro H S -- Broadbent, Eben N -- Chazdon, Robin L -- Craven, Dylan -- de Almeida-Cortez, Jarcilene S -- Cabral, George A L -- de Jong, Ben H J -- Denslow, Julie S -- Dent, Daisy H -- DeWalt, Saara J -- Dupuy, Juan M -- Duran, Sandra M -- Espirito-Santo, Mario M -- Fandino, Maria C -- Cesar, Ricardo G -- Hall, Jefferson S -- Hernandez-Stefanoni, Jose Luis -- Jakovac, Catarina C -- Junqueira, Andre B -- Kennard, Deborah -- Letcher, Susan G -- Licona, Juan-Carlos -- Lohbeck, Madelon -- Marin-Spiotta, Erika -- Martinez-Ramos, Miguel -- Massoca, Paulo -- Meave, Jorge A -- Mesquita, Rita -- Mora, Francisco -- Munoz, Rodrigo -- Muscarella, Robert -- Nunes, Yule R F -- Ochoa-Gaona, Susana -- de Oliveira, Alexandre A -- Orihuela-Belmonte, Edith -- Pena-Claros, Marielos -- Perez-Garcia, Eduardo A -- Piotto, Daniel -- Powers, Jennifer S -- Rodriguez-Velazquez, Jorge -- Romero-Perez, I Eunice -- Ruiz, Jorge -- Saldarriaga, Juan G -- Sanchez-Azofeifa, Arturo -- Schwartz, Naomi B -- Steininger, Marc K -- Swenson, Nathan G -- Toledo, Marisol -- Uriarte, Maria -- van Breugel, Michiel -- van der Wal, Hans -- Veloso, Maria D M -- Vester, Hans F M -- Vicentini, Alberto -- Vieira, Ima C G -- Bentos, Tony Vizcarra -- Williamson, G Bruce -- Rozendaal, Danae M A -- England -- Nature. 2016 Feb 11;530(7589):211-4. doi: 10.1038/nature16512. Epub 2016 Feb 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Forest Ecology and Forest Management Group, Wageningen University, PO Box 47, 6700 AA Wageningen, The Netherlands. ; PO Box 23360, Department of Biology, University of Puerto Rico, San Juan, PR 00931-3360, Puerto Rico. ; Spatial Ecology and Conservation Lab, Department of Geography, University of Alabama, Tuscaloosa, Alabama 35487, USA. ; Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autonoma de Mexico, CP58190, Morelia, Michoacan, Mexico. ; Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912, USA. ; Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut 06269, USA. ; Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of Sao Paulo, Avenida Padua Dias 11, 13418-900, Piracicaba, Sao Paulo, Brazil. ; SI ForestGEO, Smithsonian Tropical Research Institute, Roosevelt Avenue, Tupper Building - 401, Balboa, Ancon, Panama, Panama ; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany. ; Institute for Biology, Leipzig University, Johannisallee 21, 04103 Leipzig, Germany. ; Departamento de Botanica, Universidade Federal de Pernambuco, Pernambuco, CEP 50670-901, Brazil. ; Department of Sustainability Science, El Colegio de la Frontera Sur, Unidad Campeche, Av. Rancho Poligono 2A, Parque Industrial Lerma, Campeche, Campeche, CP 24500, Mexico. ; Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana 70130, USA. ; Smithsonian Tropical Research Institute, Roosevelt Avenue, Tupper Building - 401, Balboa, Ancon, Panama, Panama ; Biological and Environmental Sciences, University of Stirling, Stirling FK9 4LA, UK. ; Department of Biological Sciences, Clemson University, 132 Long Hall, Clemson, South Carolina 29634, USA. ; Centro de Investigacion Cientifica de Yucatan, AC, Unidad de Recursos Naturales, Calle 43 No. 130, Colonia Chuburna de Hidalgo, CP 97200, Merida, Yucatan, Mexico. ; Earth and Atmospheric Sciences Department, University of Alberta, Edmonton, Alberta T6G 2E3, Canada. ; Departamento de Biologia Geral, Universidade Estadual de Montes Claros, Montes Claros, Minas Gerais, CEP 39401-089, Brazil. ; Fondo Patrimonio Natural para la Biodiversidad y Areas Protegidas, Calle 72 No. 12-65 piso 6, Bogota, Colombia. ; Biological Dynamics of Forest Fragments Project, Environmental Dynamics Research Coordination, Instituto Nacional de Pesquisas da Amazonia, Manaus, Amazonas, CEP 69067-375, Brazil. ; Centre for Crop Systems Analysis, Wageningen University, PO Box 430, 6700 AK Wageningen, The Netherlands. ; Knowledge, Technology and Innovation Group, Wageningen University, PO Box 8130, 6700 EW Wageningen, The Netherlands. ; Coordenacao de Tecnologia e Inovacao, Instituto Nacional de Pesquisas da Amazonia, Avenida Andre Araujo, 2936 - Aleixo, 69060-001 Manaus, Brazil. ; Department of Physical and Environmental Sciences, Colorado Mesa University, 1100 North Avenue, Grand Junction, Colorado 81501, USA. ; Department of Environmental Studies, Purchase College (State University of New York), Purchase, New York 10577, USA. ; Instituto Boliviano de Investigacion Forestal (IBIF), FCA-UAGRM, Casilla 6204, Santa Cruz de la Sierra, Bolivia. ; World Agroforestry Centre (ICRAF), PO Box 30677 - 00100, Nairobi, Kenya. ; Department of Geography, University of Wisconsin-Madison, 550 North Park Street, Madison, Wisconsin 53706, USA. ; Departamento de Ecologia y Recursos Naturales, Facultad de Ciencias, Universidad Nacional Autonoma de Mexico, Mexico 04510 DF, Mexico. ; Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, New York 10027, USA. ; Section of Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus 8000, Denmark. ; Departamento de Ecologia, Instituto de Biociencias, Universidade de Sao Paulo, Rua do Matao, travessa 14, No. 321, Sao Paulo, CEP 05508-090, Brazil. ; Universidade Federal do Sul da Bahia, Centro de Formacao em Ciencias Agroflorestais, Itabuna-BA, 45613-204, Brazil. ; Department of Ecology, Evolution, &Behavior, University of Minnesota, Saint Paul, Minnesota 55108, USA. ; Department of Plant Biology, University of Minnesota, Saint Paul, Minnesota 55108, USA. ; School of Social Sciences, Geography Area, Universidad Pedagogica y Tecnologica de Colombia (UPTC), Tunja, Colombia. ; Department of Geography, 4841 Ellison Hall, University of California, Santa Barbara, California 93106, USA. ; Department of Biology, University of Maryland, College Park, Maryland 20742, USA. ; Yale-NUS College, 12 College Avenue West, Singapore 138610. ; Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 11754. ; Departamento de Agricultura, Sociedad y Ambiente, El Colegio de la Frontera Sur - Unidad Villahermosa, 86280 Centro, Tabasco, Mexico. ; Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, PO Box 94248, 1090 GE Amsterdam, The Netherlands. ; Bonhoeffer College, Bruggertstraat 60, 7545 AX Enschede, The Netherlands. ; Museu Paraense Emilio Goeldi, CP 399, CEP 66040-170, Belem, Brazil. ; Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana 70803-1705, USA. ; Department of Biology, University of Regina, 3737 Wascana Parkway, Regina, Saskatchewan S4S 0A2, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26840632" target="_blank"〉PubMed〈/a〉

Description: 〈p〉Old-growth tropical forests harbor an immense diversity of tree species but are rapidly being cleared, while secondary forests that regrow on abandoned agricultural lands increase in extent. We assess how tree species richness and composition recover during secondary succession across gradients in environmental conditions and anthropogenic disturbance in an unprecedented multisite analysis for the Neotropics. Secondary forests recover remarkably fast in species richness but slowly in species composition. Secondary forests take a median time of five decades to recover the species richness of old-growth forest (80% recovery after 20 years) based on rarefaction analysis. Full recovery of species composition takes centuries (only 34% recovery after 20 years). A dual strategy that maintains both old-growth forests and species-rich secondary forests is therefore crucial for biodiversity conservation in human-modified tropical landscapes.〈/p〉

Description: Forest transitions (FT) have been observed in many developed countries and more recently in the developing world. However, our knowledge of FT from tropical regions is mostly derived from case studies from within a particular country, making it difficult to generalize findings across larger regions. Here we overcome these difficulties by conducting a recent (2001–2010) satellite-based analysis of trends in forest cover across Central America, stratified by biomes, which we related to socioeconomic variables associated with human development. Results show a net decrease of woody vegetation resulting from 12,201 km2 of deforestation of moist forests and 6,825 km2 of regrowth of conifer and dry forests. The Human Development Index was the socioeconomic variable best associated with forest cover change. The least-developed countries, Nicaragua and Guatemala, experienced both rapid deforestation of moist forests and significant recovery of conifer and dry forests. In contrast, the most developed countries, Panama and Costa Rica, had net woody vegetation gain and a more stable forest cover configuration. These results imply a good agreement with FT predictions of forest change in relation to socioeconomic development, but strong asymmetry in rates and directions of change largely dependent upon the biome where change is occurring. The FT model should be refined by incorporating ecological and socioeconomic heterogeneity, particularly in multicountry and regional studies. These asymmetric patterns of forest change should be evaluated when developing strategies for conserving biodiversity and environmental services.

Description: Regrowth of tropical secondary forests following complete or nearly complete removal of forest vegetation actively stores carbon in aboveground biomass, partially counterbalancing carbon emissions from deforestation, forest degradation, burning of fossil fuels, and other anthropogenic sources. We estimate the age and spatial extent of lowland second-growth forests in the Latin American tropics and model their potential aboveground carbon accumulation over four decades. Our model shows that, in 2008, second-growth forests (1 to 60 years old) covered 2.4 million km 2 of land (28.1% of the total study area). Over 40 years, these lands can potentially accumulate a total aboveground carbon stock of 8.48 Pg C (petagrams of carbon) in aboveground biomass via low-cost natural regeneration or assisted regeneration, corresponding to a total CO 2 sequestration of 31.09 Pg CO 2 . This total is equivalent to carbon emissions from fossil fuel use and industrial processes in all of Latin America and the Caribbean from 1993 to 2014. Ten countries account for 95% of this carbon storage potential, led by Brazil, Colombia, Mexico, and Venezuela. We model future land-use scenarios to guide national carbon mitigation policies. Permitting natural regeneration on 40% of lowland pastures potentially stores an additional 2.0 Pg C over 40 years. Our study provides information and maps to guide national-level forest-based carbon mitigation plans on the basis of estimated rates of natural regeneration and pasture abandonment. Coupled with avoided deforestation and sustainable forest management, natural regeneration of second-growth forests provides a low-cost mechanism that yields a high carbon sequestration potential with multiple benefits for biodiversity and ecosystem services.