Potential distribution of Artemisia annua L.under climate change

Aim:Artemisia annua L. is the one and only original plant used to isolate artemisinin which is a highly effective remedy to fight malaria. Climate change leads to change of distribution and suitable range for many species and A. annua is no exception. However, it is not clear that the potential distribution and suitable range change of this unique plant under climate change. Therefore, we present this research to study its change in the future. Location: Global. Methods: Since the accuracy of species distribution models was affected by occurrence records and environmental variables, 1062 presence records and 7 variables were picked out to build ensemble models with 10 different algorithms by means of biomod2 under current and future climate scenarios. Results: At present, except SRE, the AUC values of the rest models were greater than 0.8, and the TSS values were greater than 0.6, the values of ensemble model were 0.968 and 0.826 respectively. Mean temperature of driest quarter was the dominant factor to shape the range of A. annua and its optimum interval ranged from 4.8 to 23.3ºC. The high suitable habitats of A. annua were mainly located in Eastern Asia, Western Europe, Central Europe. In the future, the high suitable area would decline at 15.55% to 25.87%. Main conclusions: Ensemble models showed it performed better than any the single one. At present, the high suitable habitat simulated by ensemble model was in accordance with the actual occurrence records. In the future, the high suitable habitat for A. annua would move northeast, and disappear in North America. They would increase with time under each SSP, but sharply decline while comparing with the current one. This study can be used to protect wild resource and guide cultivation for A. annua, which would make modest contribution to fight malaria.

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Estimating the impact of climate change on the potential distribution of Indo-Pacific humpback dolphins with species distribution model

PeerJ ◽

10.7717/peerj.12001 ◽

2021 ◽

Vol 9 ◽

pp. e12001

Author(s):

Jinbo Fu ◽

Linlin Zhao ◽

Changdong Liu ◽

Bin Sun

Keyword(s):

Climate Change ◽

Potential Distribution ◽

Species Distribution Model ◽

Distribution Model ◽

Suitable Habitat ◽

Ensemble Model ◽

Public Attention ◽

Impact Of Climate Change ◽

Sousa Chinensis ◽

The Impact

As IUCN critically vulnerable species,the Indo-Pacific humpback dolphins (Sousa chinensis) have attracted great public attention in recent years. The threats of human disturbance and environmental pollution to this population have been documented extensively. However, research on the sensitivity of this species to climate change is lacking. To understand the effect of climate change on the potential distribution of Sousa chinensis, we developed a weighted ensemble model based on 82 occurrence records and six predictor variables (e.g., ocean depth, distance to shore, mean temperature, salinity, ice thickness, and current velocity). According to the true skill statistic (TSS) and the area under the receiver operating characteristic curve (AUC), our ensemble model presented higher prediction precision than most of the single-algorithm models. It also indicated that ocean depth and distance to shore were the most important predictors in shaping the distribution patterns. The projections for the 2050s and 2100s from our ensemble model indicated a severe adverse impact of climate change on the Sousa chinensis habitat. Over 75% and 80% of the suitable habitat in the present day will be lost in all representative concentration pathway emission scenarios (RCPS) in the 2050s and 2100s, respectively. With the increased numbers of records of stranding and deaths of Sousa chinensis in recent years, strict management regulations and conservation plans are urgent to safeguard the current suitable habitats. Due to habitat contraction and poleward shift in the future, adaptive management strategies, including designing new reserves and adjusting the location and range of reserves according to the geographical distribution of Sousa chinensis, should be formulated to minimize the impacts of climate change on this species.

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Using climate change models to inform the recovery of the western ground parrot Pezoporus flaviventris

Oryx ◽

10.1017/s0030605318000923 ◽

2019 ◽

Vol 54 (1) ◽

pp. 52-61

Author(s):

Shaun W. Molloy ◽

Allan H. Burbidge ◽

Sarah Comer ◽

Robert A. Davis

Keyword(s):

Climate Change ◽

Habitat Degradation ◽

Climate Change Impacts ◽

Fire Regimes ◽

Suitable Habitat ◽

Distribution Models ◽

Conservation Action ◽

Change Models ◽

Introduced Predators ◽

The Future

AbstractTranslocation of species to areas of former habitat after threats have been mitigated is a common conservation action. However, the long-term success of reintroduction relies on identification of currently available habitat and areas that will remain, or become, habitat in the future. Commonly, a short-term view is taken, focusing on obvious and assumed threats such as predators and habitat degradation. However, in areas subject to significant climate change, challenges include correctly identifying variables that define habitat, and considering probable changes over time. This poses challenges with species such as the western ground parrot Pezoporus flaviventris, which was once relatively common in near-coastal south-western Australia, an area subject to major climate change. This species has declined to one small population, estimated to comprise < 150 individuals. Reasons for the decline include altered fire regimes, introduced predators and habitat clearing. The establishment of new populations is a high priority, but the extent to which a rapidly changing climate has affected, and will continue to affect, this species remains largely conjecture, and understanding probable climate change impacts is essential to the prioritization of potential reintroduction sites. We developed high-resolution species distribution models and used these to investigate climate change impacts on current and historical distributions, and identify locations that will remain, or become, bioclimatically suitable habitat in the future. This information has been given to an expert panel to identify and prioritize areas suitable for site-specific management and/or translocation.

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The Potential Distribution of Tree Species in Three Periods of Time under a Climate Change Scenario

Forests ◽

10.3390/f9100628 ◽

2018 ◽

Vol 9 (10) ◽

pp. 628 ◽

Cited By ~ 8

Author(s):

Pablo Antúnez ◽

Mario Suárez-Mota ◽

César Valenzuela-Encinas ◽

Faustino Ruiz-Aquino

Keyword(s):

Climate Change ◽

Tree Species ◽

Potential Distribution ◽

Climate Change Scenario ◽

Wide Distribution ◽

Change Scenario ◽

Slight Reduction ◽

Distribution Models ◽

The Future ◽

Climatic Change Impact

Species distribution models have become some of the most important tools for assessment of impact of climatic change, impact of human activity and for the detection of failure in silvicultural or conservation management plans. In this study, we modeled the potential distribution of 13 tree species of temperate forests distributed in the Mexican state Durango in the Sierra Madre Occidental, for three periods of time. Models were constructed for each period of time using 19 climate variables from the MaxEnt (Maximum Entropy algorithm) modelling algorithm. Those constructed for the future used a severe climate change scenario. When comparing the potential areas of the periods, some species such as Pinus durangensis (Martínez), Pinus teocote (Schiede ex Schltdl. & Cham.) and Quercus crassifolia (Bonpl.) showed no drastic changes. Rather, the models projected a slight reduction, displacement or fragmentation in the potential area of Pinus arizonica (Engelm.), P. cembroides (Zucc), P. engelmanni (Carr), P. leiophylla (Schl), Quercus arizonica (Sarg), Q. magnolifolia (Née) and Q. sideroxila (Humb. & Bonpl.) in the future period. Thus, establishing conservation and reforestation strategies in the medium and long term could guarantee a wide distribution of these species in the future.

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Shifted distribution baselines: neglecting long-term biodiversity records risks overlooking potentially suitable habitat for conservation management

Philosophical Transactions of the Royal Society B Biological Sciences ◽

10.1098/rstb.2019.0215 ◽

2019 ◽

Vol 374 (1788) ◽

pp. 20190215 ◽

Cited By ~ 5

Author(s):

Sophie Monsarrat ◽

Peter Novellie ◽

Ian Rushworth ◽

Graham Kerley

Keyword(s):

Habitat Suitability ◽

Potential Distribution ◽

Habitat Preferences ◽

Ecological Niches ◽

Suitable Habitat ◽

Ecological Data ◽

Distribution Models ◽

Mammal Species ◽

Occurrence Records

Setting appropriate conservation measures to halt the loss of biodiversity requires a good understanding of species' habitat requirements and potential distribution. Recent (past few decades) ecological data are typically used to estimate and understand species’ ecological niches. However, historical local extinctions may have truncated species–environment relationships, resulting in a biased perception of species' habitat preferences. This may result in incorrect assessments of the area potentially available for their conservation. Incorporating long-term (centuries-old) occurrence records with recent records may provide better information on species–environment relationships and improve the modelling and understanding of habitat suitability. We test whether neglecting long-term occurrence records leads to an underestimation of species’ historical niche and potential distribution and identify which species are more vulnerable to this effect. We compare outputs of species distribution models and niche hypervolumes built using recent records only with those built using both recent and long-term (post-1500) records, for a set of 34 large mammal species in South Africa. We find that, while using recent records only is adequate for some species, adding historical records in the analyses impacts estimates of the niche and habitat suitability for 12 species (34%) in our dataset, and that this effect is significantly higher for carnivores. These results show that neglecting long-term biodiversity records in spatial analyses risks misunderstanding, and generally underestimating, species' niches, which in turn may lead to ill-informed management decisions, with significant implications for the effectiveness of conservation efforts. This article is part of a discussion meeting issue ‘The past is a foreign country: how much can the fossil record actually inform conservation?’

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Shifted distribution baselines: neglecting long-term biodiversity records risks overlooking potentially suitable habitat for conservation management

10.1101/565929 ◽

2019 ◽

Cited By ~ 2

Author(s):

Sophie Monsarrat ◽

Peter Novellie ◽

Ian Rushworth ◽

Graham Kerley

Keyword(s):

Habitat Suitability ◽

Potential Distribution ◽

Habitat Preferences ◽

Suitable Habitat ◽

Ecological Data ◽

Distribution Models ◽

Mammal Species ◽

Biased Perception ◽

Occurrence Records

ABSTRACTSetting appropriate conservation measures to halt the loss of biodiversity requires a good understanding of species’ habitat requirements and potential distribution. Recent (past few decades) ecological data are typically used to estimate and understand species’ ecological niche. However, historical local extinctions may have truncated species-environment relationships, resulting in a biased perception of species’ habitat preferences. This may result in incorrect assessments of the area potentially available for their conservation. Incorporating long-term (centuries-old) occurrence records with recent records may provide better information on species-environment relationships and improve the modeling and understanding of habitat suitability. We test whether neglecting long-term occurrence records leads to an underestimation of species’ historical niche and potential distribution and identify which species are more vulnerable to this effect. We compare outputs of species distribution models and niche hypervolumes built using recent records only with those built using both recent and long-term (post-1500) records, for a set of 34 large mammal species in South Africa. We find that, while using recent records only is adequate for some species, adding historical records in the analyses impacts estimates of the niche and habitat suitability for fourteen species (41%) in our dataset, and that this effect is significantly higher for carnivores. These results show that neglecting long-term biodiversity records in spatial analyses risks misunderstanding, and generally underestimating, species’ niche, which in turn may lead to ill-informed management decisions, with significant implications for the effectiveness of conservation efforts.

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Predictions of potential geographical distribution and quality ofSchisandra sphenantheraunder climate change

PeerJ ◽

10.7717/peerj.2554 ◽

2016 ◽

Vol 4 ◽

pp. e2554 ◽

Cited By ~ 18

Author(s):

Yanlong Guo ◽

Haiyan Wei ◽

Chunyan Lu ◽

Bei Gao ◽

Wei Gu

Keyword(s):

Climate Change ◽

Medicinal Plants ◽

Fuzzy Theory ◽

Plant Distribution ◽

Suitable Habitat ◽

Climate Change Scenarios ◽

Distribution Models ◽

Entropy Model ◽

Intergovernmental Panel ◽

The Future

Climate change will significantly affect plant distribution as well as the quality of medicinal plants. Although numerous studies have analyzed the effect of climate change on future habitats of plants through species distribution models (SDMs), few of them have incorporated the change of effective content of medicinal plants.Schisandra sphenantheraRehd. et Wils. is an endangered traditional Chinese medical plant which is mainly located in the Qinling Mountains. Combining fuzzy theory and a maximum entropy model, we obtained current spatial distribution of quality assessment forS. spenanthera. Moreover, the future quality and distribution ofS. spenantherawere also projected for the periods 2020s, 2050s and 2080s under three different climate change scenarios (SRES-A1B, SRES-A2 and SRES-B1 emission scenarios) described in the Special Report on Emissions Scenarios (SRES) of IPCC (Intergovernmental Panel on Climate Change). The results showed that the moderately suitable habitat ofS. sphenantheraunder all climate change scenarios remained relatively stable in the study area. The highly suitable habitat ofS. sphenantherawould gradually decrease in the future and a higher decline rate of the highly suitable habitat area would occur under climate change scenarios SRES-A1B and SRES-A2. The result suggested that in the study area, there would be no more highly suitable habitat areas forS. sphenantherawhen the annual mean temperature exceeds 20 °C or its annual precipitation exceeds 1,200 mm. Our results will be influential in the future ecological conservation and management ofS. sphenantheraand can be taken as a reference for habitat suitability assessment research for other medicinal plants.

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Projected impact of global warming on the distribution of two pocket mouse species with implications on the conservation of Heteromys nelsoni (Rodentia: Heteromyidae)

Revista de Biología Tropical ◽

10.15517/rbt.v67i6.36321 ◽

2019 ◽

Vol 67 (6) ◽

Author(s):

Consuelo Lorenzo ◽

Arturo Carrillo-Reyes ◽

Tamara Rioja-Paradela ◽

Eugenia Sántiz-López ◽

Jorge Bolaños-Citalán

Keyword(s):

Climate Change ◽

Potential Distribution ◽

Conservation Status ◽

Climatic Conditions ◽

Suitable Habitat ◽

Distribution Models ◽

Altitudinal Range ◽

Temperature And Precipitation ◽

Area Of Occupancy ◽

Pocket Mouse

We explain through potential distributions and changes in altitudinal variation, the possible impacts of climate change in an endangered micro-endemic rodent of Mexico with narrow altitudinal range, Heteromys nelsoni and a rodent with a wide distributional and altitudinal range, Heteromys goldmani. We obtained historical and current records of both Heteromys species. Potential distribution models were generated using Maxent, including altitudes for each species and bioclimatic layers. We determined the Extent of Occurrence and Area of Occupancy for H. nelsoni according to the criteria of the IUCN in order to generate information about its risk status. The altitude is not a variable that determines a shift in the distribution caused by climate change. In contrast, the temperature and precipitation are important for the potential distribution of both Heteromys species. The future changes in climatic conditions will reduce the area of suitable habitat for H. nelsoni and will favor the presence of H. goldmani. The distribution surface is not greater than 33.44 km2 for H. nelsoni. Therefore, is urgent to re-evaluate their conservation status by the IUCN, mainly in its B criterion, and to take specific actions for their conservation. We suggest the creation of a terrestrial protected area.

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The Impact of Human Pressure and Climate Change on the Habitat Availability and Protection of Cypripedium (Orchidaceae) in Northeast China

Plants ◽

10.3390/plants10010084 ◽

2021 ◽

Vol 10 (1) ◽

pp. 84

Author(s):

Huanchu Liu ◽

Hans Jacquemyn ◽

Xingyuan He ◽

Wei Chen ◽

Yanqing Huang ◽

...

Keyword(s):

Climate Change ◽

Northeast China ◽

Habitat Destruction ◽

Changbai Mountains ◽

Suitable Habitat ◽

Human Pressure ◽

Terrestrial Orchids ◽

The Future ◽

Suitable Habitats ◽

The Impact

Human pressure on the environment and climate change are two important factors contributing to species decline and overall loss of biodiversity. Orchids may be particularly vulnerable to human-induced losses of habitat and the pervasive impact of global climate change. In this study, we simulated the extent of the suitable habitat of three species of the terrestrial orchid genus Cypripedium in northeast China and assessed the impact of human pressure and climate change on the future distribution of these species. Cypripedium represents a genus of long-lived terrestrial orchids that contains several species with great ornamental value. Severe habitat destruction and overcollection have led to major population declines in recent decades. Our results showed that at present the most suitable habitats of the three species can be found in Da Xing’an Ling, Xiao Xing’an Ling and in the Changbai Mountains. Human activity was predicted to have the largest impact on species distributions in the Changbai Mountains. In addition, climate change was predicted to lead to a shift in distribution towards higher elevations and to an increased fragmentation of suitable habitats of the three investigated Cypripedium species in the study area. These results will be valuable for decision makers to identify areas that are likely to maintain viable Cypripedium populations in the future and to develop conservation strategies to protect the remaining populations of these enigmatic orchid species.

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Endemic Juniperus Montane Species Facing Extinction Risk under Climate Change in Southwest China: Integrative Approach for Conservation Assessment and Prioritization

Biology ◽

10.3390/biology10010063 ◽

2021 ◽

Vol 10 (1) ◽

pp. 63

Author(s):

Mohammed A. Dakhil ◽

Marwa Waseem A. Halmy ◽

Walaa A. Hassan ◽

Ali El-Keblawy ◽

Kaiwen Pan ◽

...

Keyword(s):

Climate Change ◽

Potential Distribution ◽

Extinction Risk ◽

In Situ Conservation ◽

Integrative Approach ◽

Conservation Assessment ◽

Distribution Models ◽

Area Of Occupancy ◽

Annual Range ◽

The Impact

Climate change is an important driver of biodiversity loss and extinction of endemic montane species. In China, three endemic Juniperus spp. (Juniperuspingii var. pingii, J.tibetica, and J.komarovii) are threatened and subjected to the risk of extinction. This study aimed to predict the potential distribution of these three Juniperus species under climate change and dispersal scenarios, to identify critical drivers explaining their potential distributions, to assess the extinction risk by estimating the loss percentage in their area of occupancy (AOO), and to identify priority areas for their conservation in China. We used ensemble modeling to evaluate the impact of climate change and project AOO. Our results revealed that the projected AOOs followed a similar trend in the three Juniperus species, which predicted an entire loss of their suitable habitats under both climate and dispersal scenarios. Temperature annual range and isothermality were the most critical key variables explaining the potential distribution of these three Juniperus species; they contribute by 16–56.1% and 20.4–38.3%, respectively. Accounting for the use of different thresholds provides a balanced approach for species distribution models’ applications in conservation assessment when the goal is to assess potential climatic suitability in new geographical areas. Therefore, south Sichuan and north Yunnan could be considered important priority conservation areas for in situ conservation and search for unknown populations of these three Juniperus species.

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The effects of ENSO, climate change and human activities on the water level of Lake Toba, Indonesia: a critical literature review

Geoscience Letters ◽

10.1186/s40562-021-00191-x ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Hendri Irwandi ◽

Mohammad Syamsu Rosid ◽

Terry Mart

Keyword(s):

Climate Change ◽

Water Level ◽

Human Activities ◽

Southern Oscillation ◽

Climatic Conditions ◽

Water Levels ◽

Dominant Factor ◽

Climate Projections ◽

Continuous Increase ◽

The Future

AbstractThis research quantitatively and qualitatively analyzes the factors responsible for the water level variations in Lake Toba, North Sumatra Province, Indonesia. According to several studies carried out from 1993 to 2020, changes in the water level were associated with climate variability, climate change, and human activities. Furthermore, these studies stated that reduced rainfall during the rainy season due to the El Niño Southern Oscillation (ENSO) and the continuous increase in the maximum and average temperatures were some of the effects of climate change in the Lake Toba catchment area. Additionally, human interventions such as industrial activities, population growth, and damage to the surrounding environment of the Lake Toba watershed had significant impacts in terms of decreasing the water level. However, these studies were unable to determine the factor that had the most significant effect, although studies on other lakes worldwide have shown these factors are the main causes of fluctuations or decreases in water levels. A simulation study of Lake Toba's water balance showed the possibility of having a water surplus until the mid-twenty-first century. The input discharge was predicted to be greater than the output; therefore, Lake Toba could be optimized without affecting the future water level. However, the climate projections depicted a different situation, with scenarios predicting the possibility of extreme climate anomalies, demonstrating drier climatic conditions in the future. This review concludes that it is necessary to conduct an in-depth, comprehensive, and systematic study to identify the most dominant factor among the three that is causing the decrease in the Lake Toba water level and to describe the future projected water level.

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