Monitoring Young Tropical Forest Restoration Sites: How Much to Measure?

Autor(es)

Viani, Ricardo A. G. ^[1] ; Barreto, Tiago E. ^{[2, 3]} ; Farah, Fabiano T. ^[4] ; Rodrigues, Ricardo R. ^[5] ; Brancalion, Pedro H. S. ^[6]

Afiliação do(s) autor(es)

^[1] Univ Fed Sao Carlos, Dept Biotecnol & Prod Vegetal & Anim, Rodovia Anhanguera Km 174, CP 153, BR-13600970 Araras, SP - Brazil

^[2] Univ Estadual Campinas, Inst Biol, Programa Posgrad Biol Vegetal, Campinas, SP - Brazil

^[3] Fundacao Espaco Eco, Sao Bernardo Do Campo, SP - Brazil

^[4] Univ Estadual Paulista, Campus Rio Claro, Rio Claro, SP - Brazil

^[5] Univ Sao Paulo, ESALQ, Dept Ciencias Biol, Piracicaba, SP - Brazil

^[6] Univ Sao Paulo, ESALQ, Dept Ciencias Florestais, Piracicaba, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: TROPICAL CONSERVATION SCIENCE; v. 11, JUN 7 2018.
• Citações Web of Science: 2

Resumo

Monitoring is a key step for achieving restoration success. Despite increasing advances for selecting ecological indicators, monitoring sampling designs are not always available. We investigated how tree richness and the most used forest structure indicators vary spatially in restoration sites, aiming to provide evidence-based guidance for future monitoring protocols. We collected data from eight forest restoration sites covering overall 1,000 ha in four Brazilian Atlantic Forest regions. Canopy cover, tree density, vegetation height, and species richness were assessed in 18.2 ha of plots ranging from 60 to 300 m(2) in size, in restoration sites aged 1 to 5 years old. Using resampling techniques, we calculated the sampling error for the indicators and compared them with original sampling results, and then estimated the number of plots needed to reach a 20% sampling error. The ecological indicators assessed showed high variability among restoration sites. Canopy cover and height required less plots to reach the targeted sampling error than density of trees. The number of species does not stabilize even when more than 90% of the total number of plots was resampled, indicating high spatial variation. The use of the sampling error approach for defining how much to monitor, associated to appropriate sampling methods, could increase the reliability of monitoring. In addition, they will reduce operational costs, thus providing a key contribution to the effectiveness of large-scale restoration programs expected to be implemented globally in the coming years. Thus, we recommend the incorporation of this in the forest restoration monitoring protocols being discussed worldwide. (AU)

• Processo FAPESP: 13/50718-5 - Restauração ecológica de florestas ciliares, de florestas nativas de produção econômica e de fragmentos florestais degradados (em APP e RL), com base na ecologia de restauração de ecossistemas de referência, visando testar cientificamente os preceitos do Novo Código Florestal Brasileiro
• Beneficiário: Ricardo Ribeiro Rodrigues
• Linha de fomento: Auxílio à Pesquisa - Programa BIOTA - Temático