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You searched for: Publication Year 2008 Remove constraint Publication Year: 2008 Subject climatic factors Remove constraint Subject: climatic factors Subject biogeography Remove constraint Subject: biogeography Text Availability Citation in PubAg Remove constraint Text Availability: Citation in PubAg
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1. LIVES: a new habitat modelling technique for predicting the distribution of species' occurrences using presence-only data based on limiting factor theory

Author:
Li, Jin; Hilbert, David W.
Source:
Biodiversity and conservation 2008 v.17 no.13 pp. 3079-3095
ISSN:
0960-3115
Subject:
biogeography; climatic factors; ecosystem management; habitat conservation; habitats; models
Abstract:
... Predictive modelling techniques using presence-only data have attracted increasing attention because they can provide information on species distributions and their potential habitat for conservation and ecosystem management. However, the existing predictive modelling techniques have several limitations. Here, we propose a novel predictive modelling technique, Limiting Variable and Environmental S ...
DOI:
10.1007/s10531-007-9270-7

2. Step-less models for regional environmental variation in Norway

Author:
Bakkestuen, Vegar; Erikstad, Lars; Halvorsen, Rune
Source:
Journal of biogeography 2008 v.35 no.10 pp. 1906-1922
ISSN:
0305-0270
Subject:
altitude; biogeography; climatic factors; coasts; data collection; geographic information systems; hydrology; land cover; models; planning; resource management; solar radiation; vegetation; Norway
Abstract:
... To assess the scale of variation for major environmental gradients in Norway. To obtain a step-less model for this variation and to use this model to evaluate the extent to which the consensus expert classification of Norway into vegetation regions can be predicted from environmental variables. To discuss the potential of step-less models for understanding natural variation at regional scales, for ...
DOI:
10.1111/j.1365-2699.2008.01941.x

3. The response of two butterfly species to climatic variation at the edge of their range and the implications for poleward range shifts

Author:
Hellmann, Jessica J.; Pelini, Shannon L.; Prior, Kirsten M.; Dzurisin, Jason D. K.
Source:
Oecologia 2008 v.157 no.4 pp. 583-592
ISSN:
0029-8549
Subject:
ecologists; interspecific variation; host plants; surveys; habitats; climate change; latitude; population density; butterflies; population growth; temperature; Papilio; climatic factors; biogeography
Abstract:
... To predict changes in species' distributions due to climate change we must understand populations at the poleward edge of species' ranges. Ecologists generally expect range shifts under climate change caused by the expansion of edge populations as peripheral conditions increasingly resemble the range core. We tested whether peripheral populations of two contrasting butterflies, a small-bodied spec ...
DOI:
10.1007/s00442-008-1112-0
PubMed:
18648857

4. Biodiversity of soft-sediment benthic communities from Italian transitional waters

Author:
Munari, Cristina; Mistri, Michele
Source:
Journal of biogeography 2008 v.35 no.9 pp. 1622-1637
ISSN:
0305-0270
Subject:
fauna; Crustacea; ecoregions; linear models; benthic organisms; data collection; Mollusca; habitats; regression analysis; latitude; species diversity; Annelida; climatic factors; biogeography; macroinvertebrates
Abstract:
... For conservation purposes, it is important to understand the forces that shape biodiversity in transitional waters (TWs) and to evaluate the effects of small-scale latitudinal changes. To this end, we analysed data on soft-sediment macroinvertebrates from nine Italian TWs in order to (1) investigate the structure and distribution of the benthic fauna and their relationships with environmental and ...
DOI:
10.1111/j.1365-2699.2008.01919.x

5. Potential distribution ranges in Europe for Aeolesthes sarta, Tetropium gracilicorne and Xylotrechus altaicus, a CLIMEX analysis

Author:
Vanhanen, H.; Veteli, T.O.; Niemelä, P.
Source:
Bulletin OEPP 2008 v.38 no.2 pp. 239-248
ISSN:
0250-8052
Subject:
Tetropium; Xylotrechus; biogeography; climate change; climate models; climatic factors; Europe
Abstract:
... In this study, the potential distribution ranges for three different Asian Cerambycid beetles, Aeolesthes sarta (Solsky), Tetropium gracilicorne (Reitter) and Xylotrechus altaicus (Gebler), were simulated using the climatic modeling program CLIMEX. This program calculates an ecoclimatic index based on the life cycle requirements of a species and thus represents the probability of a viable populati ...
DOI:
10.1111/j.1365-2338.2008.01211.x

6. Potential distribution ranges in Europe for Ips hauseri, Ips subelongatus and Scolytus morawitzi, a CLIMEX analysis

Author:
Vanhanen, H.; Veteli, T.; Niemelä, P.
Source:
Bulletin OEPP 2008 v.38 no.2 pp. 249-258
ISSN:
0250-8052
Subject:
Ips; Scolytus; bark beetles; biogeography; climate change; climate models; climatic factors; conservation areas; forest industries; hosts; parks; tree diseases; wood; Europe
Abstract:
... Introduced bark and ambrosia beetles have become a worldwide problem for the forest industry as well as for recreational parks and nature reserves by directly damaging wood material and killing trees or by vectoring lethal tree diseases. In this study we used the climatic modeling program CLIMEX to simulate potential distribution ranges for three different Asian bark beetles, Ips hauseri (Reitter) ...
DOI:
10.1111/j.1365-2338.2008.01212.x

7. Regional and environmental effects on the species richness of mammal assemblages

Author:
Hortal, Joaquín; Rodríguez, Jesús; Nieto-Díaz, Manuel; Lobo, Jorge M.
Source:
Journal of biogeography 2008 v.35 no.7 pp. 1202-1214
ISSN:
0305-0270
Subject:
biogeography; climatic factors; energy; habitats; interspecific variation; mammals; species diversity; Antarctica
Abstract:
... Variation in species richness has been related to (1) environmental conditions (water, energy and habitat characteristics) and (2) regional differences (contingent historical events and regional particularities that result in differences between regional faunas acting at broad extents). Whereas climatic factors have been widely studied, the effects of regional differences are less often quantified ...
DOI:
10.1111/j.1365-2699.2007.01850.x

8. The 'oriental' component of the Balkan flora: evidence of presence on the Thracian Plain during the Weichselian late-glacial

Author:
Magyari, E.K.; Chapman, J.C.; Gaydarska, B.; Marinova, E.; Deli, T.; Huntley, J.P.; Allen, J.R.M.; Huntley, B.
Source:
Journal of biogeography 2008 v.35 no.5 pp. 865-883
ISSN:
0305-0270
Subject:
Alnus; Celtis; Fraxinus; Juniperus; Rosaceae; age determination; basins; biogeography; climate change; climatic factors; flora; forests; hydrology; microspores; molluscs; pollen; sediment deposition; sediments; steppes; viability; wetlands; wood; Bulgaria; Turkey (country)
Abstract:
... To obtain palaeobotanical evidence enabling evaluation of the viability of the hypothesis that the 'oriental' element of the Balkan flora reached south-east Europe from Turkey prior to the Holocene, probably via the Thracian Plain during a late Quaternary glacial stage but no later than the late Weichselian. Ezero wetland, northern Thracian Plain, Bulgaria. We undertook analyses of pollen and micr ...
DOI:
10.1111/j.1365-2699.2007.01849.x

9. Detecting the influence of climatic variables on species distributions: a test using GIS niche-based models along a steep longitudinal environmental gradient

Author:
Costa, Gabriel C.; Wolfe, Christina; Shepard, Donald B.; Caldwell, Janalee P.; Vitt, Laurie J.
Source:
Journal of biogeography 2008 v.35 no.4 pp. 637-646
ISSN:
0305-0270
Subject:
amphibians; biogeography; climatic factors; geographic information systems; models; reptiles; Oklahoma
Abstract:
... To investigate the influence of climate variables in shaping species distributions across a steep longitudinal environmental gradient. The state of Oklahoma, south-central United States. We used Geographical Information Systems (GIS) niche-based models to predict the geographic distributions of six pairs of closely related amphibian and reptile species across a steep longitudinal environmental gra ...
DOI:
10.1111/j.1365-2699.2007.01809.x

10. Predicting species distributions from herbarium collections: does climate bias in collection sampling influence model outcomes

Author:
Loiselle, Bette A.; Jørgensen, Peter M.; Consiglio, Trisha; Jiménez, Iván; Blake, John G.; Lohmann, Lúcia G.; Montiel, Olga Martha
Source:
Journal of biogeography 2008 v.35 no.1 pp. 105-116
ISSN:
0305-0270
Subject:
analysis of variance; biogeography; climatic factors; data collection; databases; decision making; experimental design; expert opinion; geographic information systems; georeferencing; herbaria; model validation; models; natural history; planning; prediction; sampling; type collections; Bolivia; Ecuador
Abstract:
... Species distribution models and geographical information system (GIS) technologies are becoming increasingly important tools in conservation planning and decision-making. Often the rich data bases of museums and herbaria serve as the primary data for predicting species distributions. Yet key assumptions about the primary data often are untested, and violation of such assumptions may have consequen ...
DOI:
10.1111/j.1365-2699.2007.01779.x

11. Prediction of the distribution of Arctic-nesting pink-footed geese under a warmer climate scenario

Author:
JENSEN, RIKKE A.; MADSEN, JESPER; O'CONNELL, MARK; WISZ, MARY S.; TØMMERVIK, HANS; MEHLUM, FRIDTJOF
Source:
Global change biology 2008 v.14 no.1 pp. 1-10
ISSN:
1354-1013
Subject:
biogeography; breeding; climate change; climatic factors; geese; models; mosses and liverworts; population growth; population size; prediction; risk; summer; temperature; vegetation; wildlife; Arctic region
Abstract:
... Global climate change is expected to shift species ranges polewards, with a risk of range contractions and population declines of especially high-Arctic species. We built species distribution models for Svalbard-nesting pink-footed geese to relate their occurrence to environmental and climatic variables, and used the models to predict their distribution under a warmer climate scenario. The most pa ...
DOI:
10.1111/j.1365-2486.2007.01461.x