Trends in species distribution modelling in context of rare and endemic plants: a systematic review

Qazi, None Ammad Waheed; Saqib, Zafeer; Zaman-ul-Haq, Muhammad

doi:10.1186/s13717-022-00384-y

Cited by 31 publications

(13 citation statements)

References 41 publications

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“…That is to say, their role in species diversity becomes smaller and smaller and finally nearly disappears. This is consistent with the findings of Waheed [ 43 ].…”

Section: Discussionsupporting

confidence: 94%

An Investigation of the Magnitude of the Role of Different Plant Species in Grassland Communities on Species Diversity, China

Li,

Ye,

et al. 2024

Plants

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In this study, we selected four grassland plots in Altai forest area and used the field survey method of “two-valued occurrence” to obtain the occurrence data of each plant species in the plots so as to calculate the species diversity index value of the community as a whole and the species diversity index value of each plant species not present in the community and to make use of the difference between these two diversity indices to determine the role of each plant species in the overall species diversity of the community. The difference between these two diversity indices was used to investigate the role of each plant species in the overall species diversity of the community. The results show the following: (1) In the grassland of the Altai forest area in Xinjiang, Asteraceae, Poaceae, Fabaceae, Polygonaceae, and Rosaceae are the dominant families, among which the genera Puccinellia Parl, Taraxacum, Pharbitis, Lactuca, Geranium, and Alchemilla are the dominant genera. (2) The plant species with the greatest contribution to species diversity in the four grassland samples was not the first dominant species of the community, but rather the plant species whose dominance was in the second to sixth position. (3) The first dominant species was overwhelmingly dominant in the four sample plots, and it served to increase the overall diversity of the community. (4) The overall trend in the size of the role of species in diversity is unimodal, i.e., logarithmically increasing to a maximum as species dominance decreases and then exponentially or linearly decreasing and eventually converging to zero. The synthesis showed that it was not the first dominant species that played the largest role in species diversity in the different grassland communities and that the overwhelmingly dominant species reduced the species diversity of the community.

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“…That is to say, their role in species diversity becomes smaller and smaller and finally nearly disappears. This is consistent with the findings of Waheed [ 43 ].…”

Section: Discussionsupporting

confidence: 94%

An Investigation of the Magnitude of the Role of Different Plant Species in Grassland Communities on Species Diversity, China

Li,

Ye,

et al. 2024

Plants

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“…The species distribution modeling was performed using the MaxEnt approach, which has been widely recognized as one of the most accurate and reliable techniques for presence-only studies such as this one (Valavi et al, 2022). We also chose MaxEnt due to its popularity in distribution modeling of rare and endemic plants (Qazi et al, 2022).…”

Section: Resultsmentioning

confidence: 99%

Possible extinction of Eversmannia subspinosa in Eastern Alborz by 2060 due to climate change: A MaxEnt study

Zaheri,

Naderi,

Amirahmadi

2024

Preprint

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Climate change has altered ecosystems by affecting the suitability of environments for different species. Species distribution models provide insights regarding these changes, which could be valuable in conservation planning. In this study, we model the current and projected future distribution of Eversmannia subspinosa, a shrub from the Fabaceae family, across the Eastern Alborz area. This plant is endangered in Iran and is only found in the study area.We used the Maximum Entropy (MaxEnt) method and trained the model with the least correlated and most important bioclimatic and topographic variables. CMCC-ESM2 and HadGEM3 climate models, in conjunction with IPCC Representative Concentration Pathways RCP2.6, RCP4.5, and RCP8.5, were used to predict the distribution of the species in 2040 and 2060. Our results suggest that the current habitats of E. subspinosa are mainly in southern parts of Eastern Alborz. Elevation (54.9%) and annual mean temperature (24.5%) were the main contributors to the model. CMCC-ESM2 model predicts significant habitat loss up to 2040 and almost complete disappearance of high probable habitats (0.5 ≤ probability of presence) up to 2060. It also suggests a distribution shift toward higher elevations in Northern and North-Eastern areas of the study area. The model trained by HadGEM3 predicts extinction of E. subspinosa across the study area up to 2040. Filling the gaps between protected areas and national parks and limiting road construction, which blocks its migration to higher elevations in response to global warming, could delay the extinction of this rare species in Iran.

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“…There are several presence‐only methods in SDM. The maximum entropy model has become one of the most popular (Qazi et al 2022), as it is robust to spatial errors and requires relatively fewer presence locations (Baldwin 2009). Therefore, we adopted the maximum entropy algorithm (Phillips et al 2006) implemented in Maxent version 3.4.1 (Phillips et al 2022) to predict damage hotspots.…”

Section: Methodsmentioning

confidence: 99%

Mapping crop damage by wild boars using multi‐scale risk modeling in Northeast China

et al. 2023

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Balancing development and conservation is one of the major challenges for modern societies. Negative human–wildlife interactions, especially crop raiding by wildlife, greatly undermine this objective. Jilin Province in Northeast China encompasses ecosystems of high biodiversity value but endures serious losses in crop yields due to wild boars (Sus scrofa). Mitigation measures have been hindered by knowledge gaps in wild boar damage patterns. Our objective was to investigate how wild boar damage responded to human‐dominated landscapes, evaluating landscape patterns of damage at multiple ecological scales, thus providing a provincial map of damage risk to assist with damage mitigation. We used 1,144 coordinates of wild boar damage from 2009 to 2013 to train multi‐scale risk models with the maximum entropy algorithm. Damage risk was highest on gentle slopes and in heterogenous landscapes composed of fragmented plantations and cropland, with high edge density among small discontinuous patches, and with dense settlements in countryside areas with sporadic road networks. Scale had a substantial effect on relationships between damage and landscapes. We recommend mitigating the conflict risk by improving the compensation system and reducing the damage frequency through repelling, electric fencing, and dissuasive feeding.

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Trends in species distribution modelling in context of rare and endemic plants: a systematic review

Cited by 31 publications

References 41 publications

An Investigation of the Magnitude of the Role of Different Plant Species in Grassland Communities on Species Diversity, China

An Investigation of the Magnitude of the Role of Different Plant Species in Grassland Communities on Species Diversity, China

Possible extinction of Eversmannia subspinosa in Eastern Alborz by 2060 due to climate change: A MaxEnt study

Mapping crop damage by wild boars using multi‐scale risk modeling in Northeast China

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