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| Registros recuperados : 20 | |
| 20. |  | MURPHY, H. J.; MORROW, L. S.; YOUNG, D. A.; KEE, E.; PRECHEUR, R. J.; WELLS, O. S.; JENSEN, R.; HENNINGER, M. R.; SIECZKA, J. B.; HALSETH, D. E.; HAYNES, F. L.; PISARCZYK, R. E.; COLE, R. E.; SULLIVAN, W. M.; YOUNG, R. J. Performance evaluations of Potato clones and varieties in the Northeastern States. Maime: University of Maime, 1983. 171p. (Maime. University, Bulletin, 788)| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
15/07/2014 |
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Data da última atualização: |
11/02/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
YOUNG, D.; PEROTTO-BALDIVIESO, H. L.; BREWER, T.; HOMER, R.; SANTOS, S. A. |
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Afiliação: |
DYLAN YOUNG, UNIVERSITY OF LEEDS; HUMBERTO L. PEROTTO BALDIVIESO, UNIVERSITY OF LEEDS; TIM BREWER, UNIVERSITY OF LEEDS; RACHEL HOMER, UNIVERSITY OF LEEDS; SANDRA APARECIDA SANTOS, CPAP. |
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Título: |
Monitoring british upland ecosystems with the use of landscape structure as an indicator for state-and-transition models. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Rangeland Ecology & Management, v.67, n.4, p.380-388, july 2014. |
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ISSN: |
1550-7424 |
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DOI: |
10.2111/REM-D-13-00170.1 |
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Idioma: |
Inglês |
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Conteúdo: |
Remote sensing and landscape ecology concepts can provide a useful framework for state-and-transition models (STM) in order to quantify thresholds at different scales, and provide useful information for scientists, land managers, and conservationists in relation to resilience management. The overall aim of this research was to develop a spatially explicit STM to quantify thresholds based on the scale of disturbance processes impacting a grazing system. Specific objectives were to develop a conceptual STM framework for upland grazing ecosystems, to quantify spatial dynamics of stable and degraded pastures, and to assess threshold occurrence. Color aerial photography from Armboth Fell in the English Lake District National Park (United Kingdom) was classified into bare rock, dwarf shrub heath (DSH), and grassland/degraded wet heath (GDWH) in four pastures
with different degrees of grazing pressure. Vegetation communities from these pastures were combined with soils, climate, and landform data to create a conceptual STM framework. Each pasture was sampled with 2-ha plots to quantify DSH and GDWH spatial structure. The proposed STM consisted of two reference and three alternative states. Low?grazing-pressure areas showed significantly higher percentage of DSH cover with larger contiguous patches and lower patch density than high?grazing-pressure areas. Breakpoints, considered to be thresholds, in mean patch area were identified in our data when DSH percentage cover was ,63% and GDWH, >77%. The present study has shown the value of a robust, reliable, and repeatable approach to identify landscape dynamics and integrate it with field data to inform a conceptual STM framework for upland grazing cosystems. It also demonstrates the importance of selecting scales relevant to the predominant disturbance process to test for threshold occurrence, and how this approach can be integrated with current assessment methods for resilience management. MenosRemote sensing and landscape ecology concepts can provide a useful framework for state-and-transition models (STM) in order to quantify thresholds at different scales, and provide useful information for scientists, land managers, and conservationists in relation to resilience management. The overall aim of this research was to develop a spatially explicit STM to quantify thresholds based on the scale of disturbance processes impacting a grazing system. Specific objectives were to develop a conceptual STM framework for upland grazing ecosystems, to quantify spatial dynamics of stable and degraded pastures, and to assess threshold occurrence. Color aerial photography from Armboth Fell in the English Lake District National Park (United Kingdom) was classified into bare rock, dwarf shrub heath (DSH), and grassland/degraded wet heath (GDWH) in four pastures
with different degrees of grazing pressure. Vegetation communities from these pastures were combined with soils, climate, and landform data to create a conceptual STM framework. Each pasture was sampled with 2-ha plots to quantify DSH and GDWH spatial structure. The proposed STM consisted of two reference and three alternative states. Low?grazing-pressure areas showed significantly higher percentage of DSH cover with larger contiguous patches and lower patch density than high?grazing-pressure areas. Breakpoints, considered to be thresholds, in mean patch area were identified in our data when DSH percentage cover was ,63% and G... Mostrar Tudo |
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Palavras-Chave: |
Peatland; Resilience; Thresholds. |
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Thesaurus NAL: |
grazing; landscape ecology; remote sensing. |
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Categoria do assunto: |
-- |
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Marc: |
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100 1 $aYOUNG, D.
245 $aMonitoring british upland ecosystems with the use of landscape structure as an indicator for state-and-transition models.
260 $c2014
520 $aRemote sensing and landscape ecology concepts can provide a useful framework for state-and-transition models (STM) in order to quantify thresholds at different scales, and provide useful information for scientists, land managers, and conservationists in relation to resilience management. The overall aim of this research was to develop a spatially explicit STM to quantify thresholds based on the scale of disturbance processes impacting a grazing system. Specific objectives were to develop a conceptual STM framework for upland grazing ecosystems, to quantify spatial dynamics of stable and degraded pastures, and to assess threshold occurrence. Color aerial photography from Armboth Fell in the English Lake District National Park (United Kingdom) was classified into bare rock, dwarf shrub heath (DSH), and grassland/degraded wet heath (GDWH) in four pastures with different degrees of grazing pressure. Vegetation communities from these pastures were combined with soils, climate, and landform data to create a conceptual STM framework. Each pasture was sampled with 2-ha plots to quantify DSH and GDWH spatial structure. The proposed STM consisted of two reference and three alternative states. Low?grazing-pressure areas showed significantly higher percentage of DSH cover with larger contiguous patches and lower patch density than high?grazing-pressure areas. Breakpoints, considered to be thresholds, in mean patch area were identified in our data when DSH percentage cover was ,63% and GDWH, >77%. The present study has shown the value of a robust, reliable, and repeatable approach to identify landscape dynamics and integrate it with field data to inform a conceptual STM framework for upland grazing cosystems. It also demonstrates the importance of selecting scales relevant to the predominant disturbance process to test for threshold occurrence, and how this approach can be integrated with current assessment methods for resilience management.
650 $agrazing
650 $alandscape ecology
650 $aremote sensing
653 $aPeatland
653 $aResilience
653 $aThresholds
700 1 $aPEROTTO-BALDIVIESO, H. L.
700 1 $aBREWER, T.
700 1 $aHOMER, R.
700 1 $aSANTOS, S. A.
773 $tRangeland Ecology & Management$gv.67, n.4, p.380-388, july 2014.
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