Ensemble forecasting shifts in climatically suitable areas for Tropidacris cristata (Orthoptera: Acridoidea: Romaleidae)
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Ensemble forecasting shifts in climatically suitable areas for Tropidacris cristata (Orthoptera: Acridoidea: Romaleidae). / Diniz, J.A.F.; Nabout, J.C.; Bini, L.M.; Loyola, R.D.; Rangel, T.F.; Nogues-Bravo, D.; Bastos Araujo, Miguel.
In: Insect Conservation and Diversity, Vol. 3, No. 3, 2010, p. 213-221.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Ensemble forecasting shifts in climatically suitable areas for Tropidacris cristata (Orthoptera: Acridoidea: Romaleidae)
AU - Diniz, J.A.F.
AU - Nabout, J.C.
AU - Bini, L.M.
AU - Loyola, R.D.
AU - Rangel, T.F.
AU - Nogues-Bravo, D.
AU - Bastos Araujo, Miguel
N1 - Times Cited: 4 WILEY-LISS DIV JOHN WILEY & SONS INC, 111 RIVER ST, HOBOKEN, NJ 07030 USA HOBOKEN Article 623KU English Cited References Count: 62 Univ Fed Goias, Dept Ecol, ICB, Cx P 131, BR-74001970 Goiania, Go, Brazil
PY - 2010
Y1 - 2010
N2 - 1. The effects of climate change on species' ranges have been usually inferred using niche-based models creating bioclimatic envelopes that are projected into geographical space. Here, we apply an ensemble forecasting approach for niche models in the Neotropical grasshopper Tropidacris cristata (Acridoidea: Romaleidae). A novel protocol was used to partition and map the variation in modelled ranges due to niche models, Atmosphere-Ocean Global Circulation Models (AOGCM), and emission scenarios. 2. We used 112 records of T. cristata and four climatic variables to model the species' niche using five niche models, four AOGCMs and two emission scenarios. Combinations of these effects (50 cross-validations for each of the 15 subsets of the environmental variables) were used to estimate and map the occurrence frequencies (EOF) across all analyses. A three-way anova was used to partition and map the sources of variation. 3. The projections for 2080 show that the range edges of the species are likely to remain approximately constant, but shifts in maximum EOF are forecasted. Suitable climatic conditions tend to disappear from central areas of Amazon, although this depends on the AOGCM and the niche model. Most of the variability around the mapped consensus projections came from using distinct niche models and AOGCMs. 4. Although our analyses are restricted to a single species, they provide new conceptual and methodological insights in the application of ensemble forecasting and variance partition approaches to understand the origins of uncertainty in studies assessing species responses to climate change in the tropics
AB - 1. The effects of climate change on species' ranges have been usually inferred using niche-based models creating bioclimatic envelopes that are projected into geographical space. Here, we apply an ensemble forecasting approach for niche models in the Neotropical grasshopper Tropidacris cristata (Acridoidea: Romaleidae). A novel protocol was used to partition and map the variation in modelled ranges due to niche models, Atmosphere-Ocean Global Circulation Models (AOGCM), and emission scenarios. 2. We used 112 records of T. cristata and four climatic variables to model the species' niche using five niche models, four AOGCMs and two emission scenarios. Combinations of these effects (50 cross-validations for each of the 15 subsets of the environmental variables) were used to estimate and map the occurrence frequencies (EOF) across all analyses. A three-way anova was used to partition and map the sources of variation. 3. The projections for 2080 show that the range edges of the species are likely to remain approximately constant, but shifts in maximum EOF are forecasted. Suitable climatic conditions tend to disappear from central areas of Amazon, although this depends on the AOGCM and the niche model. Most of the variability around the mapped consensus projections came from using distinct niche models and AOGCMs. 4. Although our analyses are restricted to a single species, they provide new conceptual and methodological insights in the application of ensemble forecasting and variance partition approaches to understand the origins of uncertainty in studies assessing species responses to climate change in the tropics
KW - Climate change
KW - ensemble forecasting
KW - niche models
KW - Orthoptera
KW - Tropidacris
KW - variance partition
KW - SPECIES DISTRIBUTION MODELS
KW - CLIMATE-CHANGE
KW - GEOGRAPHIC DISTRIBUTIONS
KW - EXTINCTION RISK
KW - RANGE SHIFTS
KW - NICHE
KW - PREDICTION
KW - UNCERTAINTIES
KW - BIODIVERSITY
KW - PROJECTIONS
U2 - 10.1111/j.1752-4598.2010.00090.x
DO - 10.1111/j.1752-4598.2010.00090.x
M3 - Journal article
VL - 3
SP - 213
EP - 221
JO - Insect Conservation and Diversity
JF - Insect Conservation and Diversity
SN - 1752-458X
IS - 3
ER -
ID: 34278563