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dc.contributor.authorVuuren MMI van
dc.contributor.authorKappelle M
dc.date.accessioned2012-12-12T18:55:44Z
dc.date.available2012-12-12T18:55:44Z
dc.date.issued1998-12-14
dc.identifier410200014
dc.identifier.urihttp://hdl.handle.net/10029/259677
dc.description.abstractAbstract niet beschikbaar
dc.description.abstractThe potential effects of Global Climate Change on biodiversity at the level of genomic variation, species, and ecosystems are very complex and poorly understood. This programming study briefly summarises current knowledge, and analyses which contributions the systematic biology and ecology community in the Netherlands can make to elucidate some of the problems involved. It is recommended to focus on the following questions: 1) What are the effects of current and potential climate change on spatial and temporal distribution patterns and on the existence of species and ecosystems? and 2) Which biological mechanisms are involved in the responses of species and ecosystems to climate change? Two complementary approaches are advocated: a) analyses of long-term data sets comprising biogeographical and climate observations and measurements, and b) experimental work on a number of species or functional groups aimed at the investigation of their physiological or phenological responses to climate change, and their migration or dispersal potential. The study should include well-known plant, animal and/or micro-organism species and/or functional groups, from a temperate, terrestrial ecosystem (possibly including transition zones between land and water) in the Netherlands or adjacent parts of NW Europe. The programme should generate input data for predictive models based on climate change scenarios. The importance of an integrated and interdisciplinary research programme, complementary to other national and international research initiatives is stressed.
dc.description.sponsorshipNOP NWO
dc.format.extent76 p
dc.language.isoen
dc.publisherRijksherbarium/Hortis Botanicus
dc.publisherLeiden University
dc.relation.ispartofGlobal Change NOP-NRP report 410200014
dc.relation.urlhttp://www.rivm.nl/bibliotheek/rapporten/410200014.html
dc.subject04nl
dc.subjectklimaatveranderingnl
dc.subjecteffectennl
dc.subjectbiodiversiteitnl
dc.subjectbiologienl
dc.subjectecologienl
dc.subjectecosystemennl
dc.subjectclimatic changesen
dc.subjecteffectsen
dc.subjectbiodiversityen
dc.subjectbiologyen
dc.subjectecologyen
dc.subjectecosystemsen
dc.titleBiodiversity and Global Climate Changeen
dc.title.alternativeBiodiversiteit en Klimaatverandering mondiaalnl
dc.typeReport
dc.contributor.departmentNOP
dc.date.updated2012-12-12T18:55:44Z
html.description.abstractAbstract niet beschikbaar
html.description.abstractThe potential effects of Global Climate Change on biodiversity at the level of genomic variation, species, and ecosystems are very complex and poorly understood. This programming study briefly summarises current knowledge, and analyses which contributions the systematic biology and ecology community in the Netherlands can make to elucidate some of the problems involved. It is recommended to focus on the following questions: 1) What are the effects of current and potential climate change on spatial and temporal distribution patterns and on the existence of species and ecosystems? and 2) Which biological mechanisms are involved in the responses of species and ecosystems to climate change? Two complementary approaches are advocated: a) analyses of long-term data sets comprising biogeographical and climate observations and measurements, and b) experimental work on a number of species or functional groups aimed at the investigation of their physiological or phenological responses to climate change, and their migration or dispersal potential. The study should include well-known plant, animal and/or micro-organism species and/or functional groups, from a temperate, terrestrial ecosystem (possibly including transition zones between land and water) in the Netherlands or adjacent parts of NW Europe. The programme should generate input data for predictive models based on climate change scenarios. The importance of an integrated and interdisciplinary research programme, complementary to other national and international research initiatives is stressed.


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