STUDY ON THE DISTRIBUTION AND HABITAT CHARACTERISTICS OF BRANDT’S VOLE

2015 ◽  
Vol 13 (2) ◽  
pp. 88-95 ◽  
Author(s):  
N Enkhbold ◽  
Shi Dazhao ◽  
N Batsaikhan ◽  
Deng Wang ◽  
D Tseveendorj ◽  
...  
Keyword(s):  
Climate Change ◽  
Species Distribution ◽  
Habitat Characteristics ◽  
Shanxi Province ◽  
Distribution Map ◽  
Grassland Ecosystems ◽  
Historical Distribution ◽  
Recent Climate ◽  
Xinjiang Uyghur Autonomous Region ◽  
Brandt’S Vole

Many species have suffered changed habitable area due to recent climate change or/and human activities. Brandt’s vole (Lasiopodomys brandtii) is same as it.The species is undergoing a continuous habitat change as a consequence of the human’s production, climate change and retrogressive succession of grassland ecosystems. The distribution of the Brandt’s vole was update in China and Mongolia. Based on the historical distribution map, which was made by overlaying the historical data with vegetation type’s map of the grassland resources in China and Mongolia. And the distribution map was modified according to the on-site investigate data in recent years. The current species’ distribution was range Hulunbei’er, northern Xilinguole, which comprise a landscape through the east of Dornod Aimag, Mongolia, and southern Hunshandake Sandy Land in China which just includes the areas around the Zhengxiangbai Qi. There were no the species in the east of Daxinganling Mountains, Liaoning, Shanxi province and Xinjiang Uyghur Autonomous Region of China. The species’ distribution is discontinuous in Mongolia, including western, middle and eastern Mongolia. The western distribution along Hangay Mountains and extends for the west, the northern boundary extended to between Ider river and Chulouk river. Southward reaches of the Malhin along the plain between Hangay Mountain and Altay Mountain. The middle and east of the species’ range lie in the part areas of Tov, Hentiy, Dundgovi, Dornogovi. extends to Hulunbei’er and northern Xilinguole eastwardly and southwardly respectively, northward reaches of the Trans-Baikalia, Russia.Mongolian Journal of Agricultural Sciences Vol.13(2) 2014: 88-95

scholarly journals Determining the distribution loss of brown eared-pheasant (Crossoptilon mantchuricum) using historical data and potential distribution estimates

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2556
Author(s):  
Yilin Li ◽  
Xinhai Li ◽  
Zitan Song ◽  
Changqing Ding
Keyword(s):  
Species Distribution ◽  
Forest Cover ◽  
Shanxi Province ◽  
Distribution Area ◽  
Beijing City ◽  
Maxent Model ◽  
The North ◽  
Historical Distribution ◽  
Forest Coverage ◽  
Historical Resources

We analyzed the synchronous relationship between forest cover and species distribution to explain the contraction in the distribution range of the brown eared-pheasant (Crossoptilon mantchuricum) in China. Historical resources can provide effective records for reconstructing long-term distribution dynamics. The brown eared-pheasant’s historical distribution from 25 to 1947 CE, which included the three provinces of Shaanxi, Shanxi, and Hebei based on this species’ habitat selection criteria, the history of the forests, ancient climate change records, and fossil data. The current species distribution covers Shaanxi, Shanxi, and Hebei provinces, as well as Beijing city, while Shanxi remains the center of the distribution area. MaxEnt model indicated that the suitable conditions of the brown eared-pheasant had retreated to the western regions of Shanxi and that the historical distribution area had reduced synchronously with the disappearance of local forest cover in Shanxi. We built a correlative relationship between the presence/absence of brown eared-pheasants and forest coverage and found that forest coverage in the north, northeast, central, and southeast areas of the Shanxi province were all less than 10% in 1911. Wild brown eared-pheasants are stable in the Luliang Mountains, where forest coverage reached 13.2% in 2000. Consequently, we concluded that the distribution of this species is primarily determined by vegetation conditions and that forest cover was the most significant determining factor.

scholarly journals Conservation guidelines for the endangered Brown-eared pheasant based on the geographic information system and the MaxEnt model

2016 ◽  
Author(s):  
Yilin Li ◽  
Xinhai Li ◽  
Zitan Song ◽  
Changqing Ding
Keyword(s):  
Species Distribution ◽  
Forest Cover ◽  
Distribution Range ◽  
Shanxi Province ◽  
Distribution Area ◽  
Beijing City ◽  
Minimum Convex Polygon ◽  
Maxent Model ◽  
Historical Distribution ◽  
Forest Coverage

We analyzed the synchronous relationship between forest cover and species distribution to explain the contraction in the distribution range of the brown-eared pheasant (Crossoptilon mantchuricum) in China. We consulted ancient texts to determine this pheasant’s historical distribution from 25 to 1947 CE. Based on this species’ habitat selection criteria, the history of the forests, ancient climate change records, and fossil data, we determined that the brown-eared pheasant’s historical distribution included the three provinces of Shaanxi, Shanxi, and Hebei. It once inhabited an area of about 320,000 km2, as calculated by the minimum convex polygon method (MCP) in ArcGIS 10.0. The current species distribution covers 46,800 km2 of the Shaanxi, Shanxi, and Hebei provinces, as well as Beijing city, while Shanxi remains the center of the distribution area. This pheasant’s distribution range has decreased by 85% over the past 2,000 years. We used the Mean Decrease Accuracy (MDA) index to assess the importance of the evaluation of 13 environmental factors using the Random Forests (RF) measure from the R 3.0.2 software platform. The results showed that vegetation is the most important determinant influencing distribution. We built a corresponding correlative relationship between the presence/absence of brown-eared pheasant and forest coverage and found that forest coverage in the north, northeast, central, and southeast areas of the Shanxi province were all less than 10% at the end of the Qing Dynasty (1911 CE). Our MaxEnt model indicated that the brown-eared pheasant had retreated to the western regions of Shanxi (AUC = 0.753) and that the historical distribution area had reduced synchronously with the disappearance of local forest cover in Shanxi. Wild brown-eared pheasant populations are stable in the Luliang Mountains, where forest coverage reached 13.2% in 2000. Consequently, we concluded that the distribution of this species is primarily determined by vegetation conditions and that forest cover was the most significant determining factor. To guarantee stable growth in the population and consistent distribution of the brown-eared pheasant, we suggest that forest coverage should be at least 48% in the natural reserves where the brown-eared pheasant is currently distributed.

scholarly journals Conservation guidelines for the endangered Brown-eared pheasant based on the geographic information system and the MaxEnt model

2016 ◽  
Author(s):  
Yilin Li ◽  
Xinhai Li ◽  
Zitan Song ◽  
Changqing Ding
Keyword(s):  
Species Distribution ◽  
Forest Cover ◽  
Distribution Range ◽  
Shanxi Province ◽  
Distribution Area ◽  
Beijing City ◽  
Minimum Convex Polygon ◽  
Maxent Model ◽  
Historical Distribution ◽  
Forest Coverage

We analyzed the synchronous relationship between forest cover and species distribution to explain the contraction in the distribution range of the brown-eared pheasant (Crossoptilon mantchuricum) in China. We consulted ancient texts to determine this pheasant’s historical distribution from 25 to 1947 CE. Based on this species’ habitat selection criteria, the history of the forests, ancient climate change records, and fossil data, we determined that the brown-eared pheasant’s historical distribution included the three provinces of Shaanxi, Shanxi, and Hebei. It once inhabited an area of about 320,000 km2, as calculated by the minimum convex polygon method (MCP) in ArcGIS 10.0. The current species distribution covers 46,800 km2 of the Shaanxi, Shanxi, and Hebei provinces, as well as Beijing city, while Shanxi remains the center of the distribution area. This pheasant’s distribution range has decreased by 85% over the past 2,000 years. We used the Mean Decrease Accuracy (MDA) index to assess the importance of the evaluation of 13 environmental factors using the Random Forests (RF) measure from the R 3.0.2 software platform. The results showed that vegetation is the most important determinant influencing distribution. We built a corresponding correlative relationship between the presence/absence of brown-eared pheasant and forest coverage and found that forest coverage in the north, northeast, central, and southeast areas of the Shanxi province were all less than 10% at the end of the Qing Dynasty (1911 CE). Our MaxEnt model indicated that the brown-eared pheasant had retreated to the western regions of Shanxi (AUC = 0.753) and that the historical distribution area had reduced synchronously with the disappearance of local forest cover in Shanxi. Wild brown-eared pheasant populations are stable in the Luliang Mountains, where forest coverage reached 13.2% in 2000. Consequently, we concluded that the distribution of this species is primarily determined by vegetation conditions and that forest cover was the most significant determining factor. To guarantee stable growth in the population and consistent distribution of the brown-eared pheasant, we suggest that forest coverage should be at least 48% in the natural reserves where the brown-eared pheasant is currently distributed.

Dry days, associated temperature anomalies and inter-annual variations in spring phenology

2021 ◽  
Author(s):  
Pierluigi Calanca
Keyword(s):  
Climate Change ◽  
Future Climate Change ◽  
Summer Drought ◽  
Forage Production ◽  
Spring Phenology ◽  
Temperature Anomalies ◽  
Annual Variations ◽  
Grassland Ecosystems ◽  
Grassland Plants ◽  
Recent Climate

<p>The imprint of recent climate change on plant phenology has been the subject of several investigations during the last few decades. Results of such studies have repeatedly documented the advances of key phenological stages in spring. More recently, they have also shown that global warming has induced changes in temperature sensitivity and led to more uniform phenology across elevations. While awareness of trends in phenology undoubtedly contributes to inform ecosystem management, the provision of ecosystem services also necessitates knowledge and understanding of how spring phenology varies from year to year. For instance, in view of growing exposure of grassland ecosystems to summer drought, in Alpine countries forage production increasingly relies on exploiting at best spring growth, which in turn requires an accurate timing of field operations, depending on the progress of herbage development.</p><p>Employing long-term phenological observations on forest trees and grassland plants and weather records from Switzerland, in this contribution I examine year-to-year variations in spring phenology in light of anomalies in the seasonal mean temperature for the months of February to April, and reflect on how the latter can be related to number of dry days and associated temperature anomalies. Based on these findings and results from other studies, I discuss possible implications of future climate change for the variability of spring phenology.</p>

scholarly journals Does including physiology improve species distribution model predictions of responses to recent climate change?

Ecology ◽  
2011 ◽  
Vol 92 (12) ◽  
pp. 2214-2221 ◽  
Author(s):  
Lauren B. Buckley ◽  
Stephanie A. Waaser ◽  
Heidi J. MacLean ◽  
Richard Fox
Keyword(s):  
Climate Change ◽  
Species Distribution ◽  
Species Distribution Model ◽  
Distribution Model ◽  
Recent Climate Change ◽  
Recent Climate ◽  
Model Predictions

scholarly journals The spread of Bombus haematurus in Italy and its first DNA barcode reference sequence

2020 ◽  
Vol 52 (1) ◽  
pp. 67-70 ◽  
Author(s):  
Paolo Biella ◽  
Andrea Galimberti
Keyword(s):  
Climate Change ◽  
Species Distribution ◽  
Field Data ◽  
Eastern Mediterranean ◽  
Dna Barcode ◽  
Reference Sequence ◽  
Similar Species ◽  
Central European ◽  
Historical Distribution ◽  
Natural Range

Climate change and human activities are impacting species distribution, and thus, tracking species movements is a key aspect for their conservation and for understanding their biology. Among the bumblebees that are changing distribution, one of the most striking cases of a fast and natural range expansion is the eastern Mediterranean Bombus haematurus. Here we report the first Italian records of this species, with observations from the N-E Italy at a distance of 332 Km from the edge of the historical distribution. These are the westernmost known occurrences of this species and they are not far from a large series of records in several Central European countries of recent colonization. Here, we also obtained and made publicly available the reference COI barcode sequence of Bombus haematurus and shown that is significantly different from other similar species at this genetic marker. Coupling morphology, field-data and genetic identity should greatly improve the efficiency of tracking species movements and therefore also their knowledge in both recently colonized and historical areas.

Evaluation of simulated recent climate change in Australia

2015 ◽  
Vol 65 (1) ◽  
pp. 4-18 ◽  
Author(s):  
Jonas Bhend ◽  
Penny Whetton
Keyword(s):  
Climate Change ◽  
Recent Climate Change ◽  
Recent Climate
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