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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
25/09/2008 |
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Data da última atualização: |
25/09/2008 |
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Autoria: |
MENDES, S.; SERRANO, A.; DIAS, S.; SOUSA, J. P. |
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Título: |
Towards a biodiversity monitoring program for Portuguese forests: making the use of soil macrofauna operational tool. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: INTERNATIONAL COLLOQUIUM ON SOIL ZOOLOGY, 15; INTERNATIONAL COLLOQUIUM ON APTERYGOTA, 12., 2008, Curitiba. Biodiversity, conservation and sustainabele management of soil animal: abstracts. Colombo: Embrapa Florestas. Editors: George Gardner Brown; Klaus Dieter Sautter; Renato Marques; Amarildo Pasini. 1 CD-ROM. |
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Idioma: |
Inglês |
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Conteúdo: |
Forest biodiversity is influenced by many kinds of drivers. Identifying, monitoring and evaluating
the effect of these drivers are, therefore, priorities for forest-agricultural policies. Most existing
monitoring programs are based on plant diversity and structural parameters; including other
indicators, like soil invertebrates, in these monitoring schemes has been widely advised, namely
in the implementation of the European Forests Monitoring Programme. In order to make
operational the use of epigeal soil macrofauna in a monitoring programme of forest biodiversity,
namely to assess the feasibility of using surrogate groups and surrogate taxonomic levels as
indicators (thus providing new tools to monitor and assess belowground biodiversity in
Portuguese forested areas), a set of 16 areas was defined considering the dominant tree species
in Portuguese forests: Pinus Pinaster, Pinus Pinea, Quercus ilex, Quercus robur, Quercus suber,
Quercus pyrenaica, Castanea sativa and Eucalyptus globulus. Sampling took place during Spring
2007 using pitfall traps (15 per area) and macrofauna collected was identified to family/order
and species level (when that was not possible, morphospecies was used).
A total of 11551 individuals belonging to 517 species/morphospecies were caught in traps.
Species richness varied among areas, reflecting differences due to the main tree species but
also to geographical location, management practices or interactions of some of these drivers.
Quercus ilex areas presented the highest species richness, opposite to Eucalyptus globulus
areas, where this value was the lowest. Considering main macrofauna groups found on samples,
this pattern is also observed (except for Carabid beetles), especially on areas with higher species
richness. The abundance of invertebrates, on the other hand, appears to be determined by the
richness in vascular plants and understory vegetation coverage on sampled areas; the same
parameters seem to determine the abundance of most macrofauna groups (with the exception
of Coleoptera and Carabids).
A set of key indicator groups and surrogate taxonomic levels was obtained as indicators for
biodiversity. Positive and significant correlations were found between total species richness
and the species richness of Formicidae, Coleoptera and Araneae. The use of GLM techniques
revealed that Araneae and Coleoptera?s species richness can act as surrogates for total species
richness. Furthermore, these analyses showed that total invertebrate family richness can be
used for predicting total invertebrate species richness, thus acting as a useful surrogate for this
parameter. Some other correlations showing that a higher taxonomical level can be used as
surrogate of species richness were found for Spiders and Beetles, where GLM determined that
species richness can be estimated when using fauna data identified at family/order level. All
these models, in spite of all their limitations, point to the fact that surrogates can be used in
Portuguese forested areas at different levels to determine the total richness of soil macrofauna
or the richness of some dominant groups in it. The results obtained can also be used for
establishing a range of baseline values of soil macrofauna richness for Portuguese forested
areas, the first step towards the implementation of a monitoring program using these organisms. MenosForest biodiversity is influenced by many kinds of drivers. Identifying, monitoring and evaluating
the effect of these drivers are, therefore, priorities for forest-agricultural policies. Most existing
monitoring programs are based on plant diversity and structural parameters; including other
indicators, like soil invertebrates, in these monitoring schemes has been widely advised, namely
in the implementation of the European Forests Monitoring Programme. In order to make
operational the use of epigeal soil macrofauna in a monitoring programme of forest biodiversity,
namely to assess the feasibility of using surrogate groups and surrogate taxonomic levels as
indicators (thus providing new tools to monitor and assess belowground biodiversity in
Portuguese forested areas), a set of 16 areas was defined considering the dominant tree species
in Portuguese forests: Pinus Pinaster, Pinus Pinea, Quercus ilex, Quercus robur, Quercus suber,
Quercus pyrenaica, Castanea sativa and Eucalyptus globulus. Sampling took place during Spring
2007 using pitfall traps (15 per area) and macrofauna collected was identified to family/order
and species level (when that was not possible, morphospecies was used).
A total of 11551 individuals belonging to 517 species/morphospecies were caught in traps.
Species richness varied among areas, reflecting differences due to the main tree species but
also to geographical location, management practices or interactions of some of these drivers.
Quercus ilex are... Mostrar Tudo |
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LEADER 04115naa a2200157 a 4500
001 1314949
005 2008-09-25
008 2008 bl uuuu u00u1 u #d
100 1 $aMENDES, S.
245 $aTowards a biodiversity monitoring program for Portuguese forests$bmaking the use of soil macrofauna operational tool.
260 $c2008
520 $aForest biodiversity is influenced by many kinds of drivers. Identifying, monitoring and evaluating the effect of these drivers are, therefore, priorities for forest-agricultural policies. Most existing monitoring programs are based on plant diversity and structural parameters; including other indicators, like soil invertebrates, in these monitoring schemes has been widely advised, namely in the implementation of the European Forests Monitoring Programme. In order to make operational the use of epigeal soil macrofauna in a monitoring programme of forest biodiversity, namely to assess the feasibility of using surrogate groups and surrogate taxonomic levels as indicators (thus providing new tools to monitor and assess belowground biodiversity in Portuguese forested areas), a set of 16 areas was defined considering the dominant tree species in Portuguese forests: Pinus Pinaster, Pinus Pinea, Quercus ilex, Quercus robur, Quercus suber, Quercus pyrenaica, Castanea sativa and Eucalyptus globulus. Sampling took place during Spring 2007 using pitfall traps (15 per area) and macrofauna collected was identified to family/order and species level (when that was not possible, morphospecies was used). A total of 11551 individuals belonging to 517 species/morphospecies were caught in traps. Species richness varied among areas, reflecting differences due to the main tree species but also to geographical location, management practices or interactions of some of these drivers. Quercus ilex areas presented the highest species richness, opposite to Eucalyptus globulus areas, where this value was the lowest. Considering main macrofauna groups found on samples, this pattern is also observed (except for Carabid beetles), especially on areas with higher species richness. The abundance of invertebrates, on the other hand, appears to be determined by the richness in vascular plants and understory vegetation coverage on sampled areas; the same parameters seem to determine the abundance of most macrofauna groups (with the exception of Coleoptera and Carabids). A set of key indicator groups and surrogate taxonomic levels was obtained as indicators for biodiversity. Positive and significant correlations were found between total species richness and the species richness of Formicidae, Coleoptera and Araneae. The use of GLM techniques revealed that Araneae and Coleoptera?s species richness can act as surrogates for total species richness. Furthermore, these analyses showed that total invertebrate family richness can be used for predicting total invertebrate species richness, thus acting as a useful surrogate for this parameter. Some other correlations showing that a higher taxonomical level can be used as surrogate of species richness were found for Spiders and Beetles, where GLM determined that species richness can be estimated when using fauna data identified at family/order level. All these models, in spite of all their limitations, point to the fact that surrogates can be used in Portuguese forested areas at different levels to determine the total richness of soil macrofauna or the richness of some dominant groups in it. The results obtained can also be used for establishing a range of baseline values of soil macrofauna richness for Portuguese forested areas, the first step towards the implementation of a monitoring program using these organisms.
700 1 $aSERRANO, A.
700 1 $aDIAS, S.
700 1 $aSOUSA, J. P.
773 $tIn: INTERNATIONAL COLLOQUIUM ON SOIL ZOOLOGY, 15; INTERNATIONAL COLLOQUIUM ON APTERYGOTA, 12., 2008, Curitiba. Biodiversity, conservation and sustainabele management of soil animal: abstracts. Colombo: Embrapa Florestas. Editors: George Gardner Brown; Klaus Dieter Sautter; Renato Marques; Amarildo Pasini. 1 CD-ROM.
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Embrapa Florestas (CNPF) |
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| 3. |  | TOMASINI, R. G. A. Desafios da agropecuária da região sul. In: CONGRESSO BRASILEIRO DE ECONOMIA E SOCIOLOGIA RURAL, 37., 1999, Foz do Iguaçu. O agronegócio do Mercosul e a sua inserção na economia mundial: anais. p. 174 Editado por AGUIAR, D. R. D.; PINHO, J. B.| Biblioteca(s): Embrapa Trigo. |
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| 4. | | TOMASINI, R. G. A. Trigo no Mercosul: o futuro? In: CUNHA, G. R.; TROMBINI, M. de F. (Org.). Trigo no Mercosul: coletânea de artigos. Brasília, DF: Embrapa Comunicação para Transferência de Tecnologia; Passo Fundo: Embrapa Trigo, 1999. p. 87-91| Biblioteca(s): Embrapa Trigo. |
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