Geographic distribution and impacts of climate change on the suitable habitats of Zingiber species in China

Huang, Ziyin; Xie, Lingna; Wang, Huawei; Zhong, Jiaben; Li, Yanchen; Liu, Junlei; Ou, Zhirong; Liang, Xinmiao; Li, Yongshan; Huang, Hanyi; Lin, Zhirong; Zhang, Kun; Zhang, Lanyue; Zheng, Xi

doi:10.1016/j.indcrop.2019.05.078

Cited by 47 publications

(18 citation statements)

References 44 publications

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“…In addition, for some crops (Zingiber, Brassica napus L., Triticum aestivum L., Glycine max (Linn.) Merr), future climate change may lead to increased habitat area [32].…”

Section: Geographical Expansion Of Speciesmentioning

confidence: 99%

Response of Biodiversity, Ecosystems, and Ecosystem Services to Climate Change in China: A Review

2021

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Climate change is having a significant impact on the global ecosystem and is likely to become increasingly important as this phenomenon intensifies. Numerous studies in climate change impacts on biodiversity, ecosystems, and ecosystem services in China have been published in recent decades. However, a comprehensive review of the topic is needed to provide an improved understanding of the history and driving mechanisms of environmental changes within the region. Here we review the evidence for changes in climate and the peer-reviewed literature that assesses climate change impacts on biodiversity, ecosystem, and ecosystem services at a China scale. Our main conclusions are as follows. (1) Most of the evidence shows that climate change (the increasing extreme events) is affecting the change of productivity, species interactions, and biological invasions, especially in the agro-pastoral transition zone and fragile ecological area in Northern China. (2) The individuals and populations respond to climate change through changes in behavior, functions, and geographic scope. (3) The impact of climate change on most types of services (provisioning, regulating, supporting, and cultural) in China is mainly negative and brings threats and challenges to human well-being and natural resource management, therefore, requiring costly societal adjustments. In general, although great progress has been made, the management strategies still need to be further improved. Integrating climate change into ecosystem services assessment and natural resource management is still a major challenge. Moving forward, it is necessary to evaluate and research the effectiveness of typical demonstration cases, which will contribute to better scientific management of natural resources in China and the world.

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“…In addition, for some crops (Zingiber, Brassica napus L., Triticum aestivum L., Glycine max (Linn.) Merr), future climate change may lead to increased habitat area [32].…”

Section: Geographical Expansion Of Speciesmentioning

confidence: 99%

Response of Biodiversity, Ecosystems, and Ecosystem Services to Climate Change in China: A Review

2021

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“…We accessed a set of 19 bioclimate variables with a resolution of 10 arc min for current climate (1950-2000WorldClim, version 1.3) and future climate data (2100, 2 Â CO 2 climate scenarios, CCM3 model from the divagis databases www.diva-gis.org/climate) (Govindasamy et al, 2003), which has been used in many studies (Huang et al, 2019;Jiang et al, 2015;Rodrıguez-Nunez et al, 2021;Yang et al, 2021). To minimize overfitting of the models, we used SPSS 13.0 to calculate the intercorrelations among 19 bioclimatic variables and removed one of the two variables in case a correlation coefficient ≥.85 was obtained.…”

Section: Prediction Of Suitable Habitat Areas Of Threatened Plants In...mentioning

confidence: 99%

Biodiversity hotspots and conservation efficiency of a large drainage basin: Distribution patterns of species richness and conservation gaps analysis in the Yangtze River Basin, China

Zhang

Bussmann

et al. 2022

Conservat Sci and Prac

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The Yangtze River Basin (YRB), a key biodiversity area and a major economic zone in China, the biodiversity of the area is confronted with severe challenges. In this paper, we analyzed species distribution patterns based on a dataset with 18,538 seed plant species to identify hotspots and evaluate conservation effectiveness and gaps of the YRB. We calculated distribution patterns of species richness with the top 5% richness algorithm and complementarity algorithm, and reconstructed a phylogenetic tree and elucidated spatial phylogenetics. There were 214 hotspot grid cells covering only 6.8% of the study region, but containing 88% seed plant species. Then, we conducted correlation analysis on distribution patterns of different algorithms and species categories, which showed moderate or weak correlations between the top 5% richness algorithm and complementary algorithm. Conservation effectiveness analysis indicated there were 116 hotspot grid cells (accounting for 73.6% of the total species) protected by current conservation networks and there are many conservation gaps remaining. Finally, we used the maximum entropy model (MaxEnt) to predict suitable habitat areas of threatened species under current and future climate scenarios. Prediction analysis results indicated future expansion of suitable habitat to the southeast, and reduction in the central and western portions of the study area. When we considered anthropogenic areas, the suitable habitat was severely decreased, indicating the importance of optimizing the layout of conservation networks and comprehensive biodiversity conservation planning in the YRB.

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“…It is also possible to combine data from multiple measurement scales without making statistical assumptions, thus helping to stimulate natural phenomena with non-linear relationships (Phillips, 2005;Kramer-Schadt et al, 2013;Phillips et al, 2017). In recent years, the MaxEnt model has been widely used in the analysis of invasive alien species and the study of the suitability of Chinese medicinal materials, and has achieved good prediction results (Fan et al, 2019;Huang et al, 2019;Tang et al, 2019;Wei et al, 2019). Although the MaxEnt model has some shortcomings, it has high performance and accuracy in modeling, high operational modeling capabilities, and a very friendly interactive interface.…”

Section: Significance Of Model Predictions and Comparison With Previomentioning

confidence: 99%

How Climate Change Will Alter the Distribution of Suitable Dendrobium Habitats

2020

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To protect endangered species and restore their habitats, it is important to be able to predict their potential geographic distributions. The Dendrobium plant is important in traditional Chinese medicine, but urban expansion and over-exploitation have led to a decrease of Dendrobium resources. To achieve sustainable development of Dendrobium resources, the spatial and temporal distribution of two Dendrobium species were systematically analyzed based on the distribution points of D. moniliforme (104) and D. nobile (87). Maximum entropy modeling (MaxEnt) was used to predict the distribution of suitable habitats for these Dendrobium species, both currently and in the future, under different representative concentration pathways (RCPs). Three RCPs included RCP2.6, RCP4.5, and RCP8.5. The results show that D. moniliforme and D. nobile are widely distributed in the south of China (Anhui, Guangdong, Jiangxi, and Hunan provinces). Worldwide, Japan and North Korea were identified as major distribution areas for D. moniliforme and D. nobile. Based on the MaxEnt model, the mean diurnal range and the minimum temperature of the coldest month were identified as the most significant bioclimatic variables controlling the distribution of D. moniliforme and D. nobile. Future climate change will likely result in an increase of suitable habitat areas for D. moniliforme (by around 16%), and a decrease for D. nobile (by around 1-10%), but climate change is unlikely to have much impact on the distribution of suitable habitats for D. moniliforme and D. nobile in Japan and North Korea. Based on our findings, measures should be taken to protect these precious medicinal plant resources, and the sites used for the artificial cultivation of Dendrobium will need to shift as the climate changes.

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Geographic distribution and impacts of climate change on the suitable habitats of Zingiber species in China

Cited by 47 publications

References 44 publications

Response of Biodiversity, Ecosystems, and Ecosystem Services to Climate Change in China: A Review

Response of Biodiversity, Ecosystems, and Ecosystem Services to Climate Change in China: A Review

Biodiversity hotspots and conservation efficiency of a large drainage basin: Distribution patterns of species richness and conservation gaps analysis in the Yangtze River Basin, China

How Climate Change Will Alter the Distribution of Suitable Dendrobium Habitats

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