Monitoring Young Tropical Forest Restoration Sites: How Much to Measure?
| Autor: | Tiago Egydio Barreto, Fabiano Turini Farah, Ricardo Augusto Gorne Viani, Ricardo Ribeiro Rodrigues, Pedro H. S. Brancalion |
|---|---|
| Přispěvatelé: | Universidade Federal de São Carlos (UFSCar), Universidade Estadual de Campinas (UNICAMP), Fundacao Espaco Eco, Universidade Estadual Paulista (Unesp), Universidade de São Paulo (USP) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Measure (data warehouse) 010504 meteorology & atmospheric sciences Ecology business.industry Environmental resource management monitoring protocols Sampling (statistics) Tropical forest 010603 evolutionary biology 01 natural sciences restoration assessment restoration success Ecological indicator ecological indicators MATA ATLÂNTICA Atlantic Forest Key (cryptography) Environmental science Atlantic forest business 0105 earth and related environmental sciences Nature and Landscape Conservation |
| Zdroj: | Web of Science Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| Popis: | Made available in DSpace on 2018-11-26T16:04:21Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-06-07 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 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. Univ Fed Sao Carlos, Dept Biotecnol & Prod Vegetal & Anim, Rodovia Anhanguera Km 174,CP 153, BR-13600970 Araras, SP, Brazil Univ Estadual Campinas, Inst Biol, Programa Posgrad Biol Vegetal, Campinas, SP, Brazil Fundacao Espaco Eco, Sao Bernardo Do Campo, SP, Brazil Univ Estadual Paulista, Campus Rio Claro, Rio Claro, SP, Brazil Univ Sao Paulo, ESALQ, Dept Ciencias Biol, Piracicaba, SP, Brazil Univ Sao Paulo, ESALQ, Dept Ciencias Florestais, Piracicaba, SP, Brazil Univ Estadual Paulista, Campus Rio Claro, Rio Claro, SP, Brazil FAPESP: 2013/50718-5 |
| Databáze: | OpenAIRE |
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