*
 

iForest - Biogeosciences and Forestry

*

Fluctuation of the ecological niche of Moringa peregrina (Forssk.) Fiori with topoclimatic heterogeneity in southern Iran

Hossein Piri Sahragard (1)   , Peyman Karami (2), Majid Ajorlo (1)

iForest - Biogeosciences and Forestry, Volume 16, Issue 1, Pages 53-61 (2023)
doi: https://doi.org/10.3832/ifor4196-015
Published: Feb 16, 2023 - Copyright © 2023 SISEF

Research Articles


Heterogeneity can be studied for any dynamic or fixed environmental factors over time. However, determining the extent of heterogeneity occurrence in terms of habitat suitability, variability of dynamic and fixed factors, as well as landform role is an issue that has received less attention. This study aimed to investigate the distribution of Moringa peregrina at two climate change scenarios, to identify the Region of High Heterogenetic (ROHH) of the habitats in those scenarios and to ascertain the heterogeneity of habitat variables of the species in southern Iran. The current and potential distributions of the species in mild and severe climate change scenarios of 2050 and 2070, respectively, were modeled through the Ensemble technique using the climatic and topographic (topoclimatic) variables. The current distribution with four predictions of mild to severe Representative Concentration Pathways (RCP2.5, RCP4.5, RCP6.0 and RCP8.5) were entered into the principal component analysis (PCA) each year to achieve the heterogeneity of distribution. Then, the ROHH was calculated for areas with fluctuations of more than 50%. The topoclimatic variables in the ROHH were compared with the value of each variable in the current distribution in different landforms. The climatic variables of temperature seasonality and mean diurnal range had the greatest impact on M. peregrina distribution. There was more than 90% spatial agreement between the species current and potential distributions under different climate change scenarios (minimum Kappa = 0.9). In climate change scenarios, increase in species distribution is mainly limited by reduced rainfall, high temperature and altitude. The heterogeneity of habitat variables varied greatly in the ROHH and current presence points, indicating the species attempt to occupy new ecological niches. The highest distribution of the species was in the canyons and mountain tops, and the species seeks to occupy these areas in the ROHH. The magnitude of fluctuations of habitat variables at the presence points and the ROHH was different, indicating the species crossing the current niche range to establish in new niche. The mean diurnal range (Bio2) and annual precipitation (Bio12) variables had the lowest heterogeneity in 2050 and 2070 scenarios. This study reports that the fluctuation of habitat variables in areas with high heterogeneity was different from the current distribution range of M. peregrina. No significant fluctuation was found in the distribution range of the species in climate change scenarios.

  Keywords


Environmental Heterogeneity, Climate Change, Region of High Heterogenetic, Climatic Variables

Authors’ address

(1)
Hossein Piri Sahragard 0000-0002-7794-3854
Majid Ajorlo 0000-0001-8943-198X
Department of Rangeland and Watershed Management, Faculty of Soil and Water, University of Zabol, Zabol (Iran)
(2)
Peyman Karami
Department of Environmental Sciences, Faculty of Natural Resources and Environment Sciences, Malayer University, Malayer (Iran)

Corresponding author

 
Hossein Piri Sahragard
hpirys@gmail.com

Citation

Piri Sahragard H, Karami P, Ajorlo M (2023). Fluctuation of the ecological niche of Moringa peregrina (Forssk.) Fiori with topoclimatic heterogeneity in southern Iran. iForest 16: 53-61. - doi: 10.3832/ifor4196-015

Academic Editor

Maurizio Marchi

Paper history

Received: Jul 30, 2022
Accepted: Dec 05, 2022

First online: Feb 16, 2023
Publication Date: Feb 28, 2023
Publication Time: 2.43 months

Breakdown by View Type

(Waiting for server response...)

Article Usage

Total Article Views: 13843
(from publication date up to now)

Breakdown by View Type
HTML Page Views: 12132
Abstract Page Views: 916
PDF Downloads: 670
Citation/Reference Downloads: 2
XML Downloads: 123

Web Metrics
Days since publication: 485
Overall contacts: 13843
Avg. contacts per week: 199.80

Article Citations

Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Feb 2023)

(No citations were found up to date. Please come back later)


 

Publication Metrics

by Dimensions ©

Articles citing this article

List of the papers citing this article based on CrossRef Cited-by.

 
(1)
Albuquerque F, Benito B, Rodriguez MAM, Gray C (2018)
Potential changes in the distribution of Carnegiea gigantea under future scenarios. PeerJ 6: p. e5623.
CrossRef | Gscholar
(2)
Brown JL, Bennett JR, French CM (2017)
SDM toolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses. PeerJ 5: p. e4095.
CrossRef | Gscholar
(3)
Chisholm RA, Condit R, Rahman KA, Baker PJ, Bunyavejchewin S, Chen YY, Chuyong G, Dattaraja HS, Davies S, Ewango CE, Gunatilleke CV, Nimal Gunatilleke IA, Hubbell S, Kenfack D, Kiratiprayoon S, Lin Y, Makana JR, Pongpattananurak N, Pulla S, Punchi-Manage R, Sukumar R, Su SH, Sun IF, Suresh HS, Tan S, Thomas D, Yap S (2014)
Temporal variability of forest communities: empirical estimates of population change in 4000 tree species. Ecology Letters 17 (7): 855-865.
CrossRef | Gscholar
(4)
Dadamouny MA, Zaghlou MS, Salman AA, Moustafa AA (2012)
Impact of improved soil properties on establishment of Moringa peregrina seedlings and a trial to decrease its mortality rate. Egyptian Journal of Botany 52 (1): 83-98.
Gscholar
(5)
Deák B, Kovács B, Rádai Z, Apostolova I, Kelemen A, Kiss R, Lukács K, Palpurina S, Sopotlieva D, Báthori F, Valkó O (2021)
Linking environmental heterogeneity and plant diversity: The ecological role of small natural features in homogeneous landscapes. Science of Total Environment 763: 144199.
CrossRef | Gscholar
(6)
Ebi KL, Ziska LH, Yohe GW (2016)
The shape of impacts to come: lessons and opportunities for adaptation from uneven increases in global and regional temperatures. Climate Change 139: 341-349.
CrossRef | Gscholar
(7)
El-Keblawy AA, Khedr AHA (2017)
Population structure and ecological role of Moringa peregrina (Forssk.) Fiori. at its northwestern range edge in the Hajar Mountains. Plant Biosystems 151: 29-38.
CrossRef | Gscholar
(8)
Fahrig L, Baudry J, Brotons L, Burel FG, Crist TO, Fuller RJ, Sirami C, Siriwardena GM, Martin JL (2011)
Functional landscape heterogeneity and animal biodiversity in agricultural landscapes. Ecology Letters 14 (2): 101-112.
CrossRef | Gscholar
(9)
Farahat EA, Refaat AM (2021)
Predicting the impacts of climate change on the distribution of Moringa peregrina (Forssk.) Fiori. A conservation approach. Journal of Mountain Science 18 (5): 1235-1245.
CrossRef | Gscholar
(10)
Fourcade Y, Engler JO, Rödder Secondi D (2014)
Mapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias. PloS One 9 (5) p. e97122.
CrossRef | Gscholar
(11)
García MB, Pico FX, Ehrlén J (2008)
Life span correlates with population dynamics in perennial herbaceous plants. American Journal of Botany 95 (2): 258-262.
CrossRef | Gscholar
(12)
Gärtner H, Farahat E (2021)
Cambial activity of Moringa peregrina (Forssk.) Fiori in arid environments. Frontiers in Plant Science 12: 760002.
CrossRef | Gscholar
(13)
Gebauer J, Luedeling E, Hammer K, Nagieb M, Buerkert A (2007)
Mountain oases in northern Oman: An environment for evolution and in situ conservation of plant genetic resources. Genetic Resources and Crop Evolution 54 (3): 465-481.
CrossRef | Gscholar
(14)
Giles JR, Peterson AT, Busch JD, Olafson PU, Scoles GA, Davey RB, Pound JM, Kammlah DM, Lohmeyer KH, Wagner DM (2014)
Invasive potential of cattle fever ticks in the southern United States. Parasites and Vectors 7 (1): 1-11.
CrossRef | Gscholar
(15)
Gomaa NH, Picó FX (2011)
Seed germination, seedling traits, and seed bank of the tree Moringa peregrina (Moringaceae) in a hyper-arid environment. American Journal of Botany 98 (6): 1024-1030.
CrossRef | Gscholar
(16)
Hegazy AK, Hammouda O, Lovett-Doust J, Gomaa NH (2008)
Population dynamics of Moringa peregrina along altitudinal gradient in the northwestern sector of the Red Sea. Journal of Arid Environment 72: 1537-1551.
CrossRef | Gscholar
(17)
Hu X, Zhu L, Fu CW, Qin J, Heng PA (2018)
Direction-aware spatial context features for shadow detection. In: Proceedings of the “IEEE Conference on Computer Vision and Pattern Recognition”. IEEExplore, pp. 7454-7462.
CrossRef | Gscholar
(18)
IPCC (2019)
Summary for policymakers. In: “Special Report on the Ocean and Cryosphere in a Changing Climate” (Pörtner H-O, Roberts DC, Masson-Delmotte V, Zhai P, Tignor M, Poloczanska E, Mintenbeck K, Alegría A, Nicolai M, Okem A, Petzold J, Rama B, Weyer NM eds). Intergovernmental Panel on Climate Change - IPCC, New York, USA, pp. 36.
Gscholar
(19)
Kampichler C, Wieland R, Calmé S, Weissenberger H, Arriaga-Weiss S (2010)
Classification in conservation biology: a comparison of five machine-learning methods. Ecological Informatics 5 (6): 441-450.
CrossRef | Gscholar
(20)
Karami P, Rezaei S, Shadloo S, Naderi M (2020)
An evaluation of central Iran’s protected areas under different climate change scenarios (a case on Markazi and Hamedan provinces). Journal of Mountain Science 17 (1): 68-82.
CrossRef | Gscholar
(21)
Karami P, Tavakoli S (2022)
Identification and analysis of areas prone to conflict with wild boar (Sus scrofa) in the vineyards of Malayer County, western Iran. Ecological Modelling 471: 110039.
CrossRef | Gscholar
(22)
Keneshloo H (2016)
Why Moringa peregrina (Forssk.) Fiori is distributed at South of Iran. Journal of Plant Research 29 (1): 180-190.
Gscholar
(23)
Kosanic A, Anderson K, Frère CH, Harrison S (2015)
Regional vegetation change and implications for local conservation: an example from West Cornwall (United Kingdom). Global Ecology and Conservation 4: 405-13.
CrossRef | Gscholar
(24)
Li G, Liu C, Liu Y, Yang J, Zhang X, Guo K (2012)
Effects of climate, disturbance and soil factors on the potential distribution of Liaotung oak (Quercus wutaishanica Mayr) in China. Ecological research 27 (2): 427-436.
CrossRef | Gscholar
(25)
Lundholm JT (2009)
Plant species diversity and environmental heterogeneity: spatial scale and competing hypotheses. Journal of Vegetation Science 20: 377-391.
CrossRef | Gscholar
(26)
Macrì C, Dagnino D, Guerrina M, Médail F, Minuto L, Thompson JD, Casazza G (2021)
Effects of environmental heterogeneity on phenotypic variation of the endemic plant Lilium pomponium in the Maritime and Ligurian Alps. Oecologia 195: 93-103.
CrossRef | Gscholar
(27)
Manes S, Costello MJ, Beckett H, Debnath A, Devenish-Nelson E, Grey KA, Jenkins R, Khan TM, Kiessling W, Krause C, Maharaj SS, Midgley GF, Price J, Talukdar G, Vale MM (2021)
Endemism increases species’ climate change risk in areas of global biodiversity importance. Biological Conservation 257: 109070.
CrossRef | Gscholar
(28)
Mokarram M, Hojati M (2016)
Comparison of landform classifications of elevation, slope, relief and curvature with topographic position index in the South of Bojnoord. Ecopersia 4 (2): 1343-1357.
CrossRef | Gscholar
(29)
Moradi H, Fattorini S, Oldeland J (2020)
Influence of elevation on the species-area relationship. Journal of Biogeography 47 (9): 2029-2041.
CrossRef | Gscholar
(30)
Morovati M, Karami P, Bahadori Amjas F (2020)
Accessing habitat suitability and connectivity for the westernmost population of Asian black bear (Ursus thibetanus gedrosianus, Blanford 1877) based on climate changes scenarios in Iran. PLoS One 15 (11): e0242432.
CrossRef | Gscholar
(31)
Mozaffarian V (2018)
Centaurea L. In: “Flora of Iran” (Assadi M, Maassoumi AA, Safavi SR eds). Research Institute of Forests and Rangeland, Tehran, Iran, pp. 262-391.
Gscholar
(32)
Otto SA, Diekmann R, Flinkman J, Kornilovs G, Möllmann C (2014)
Habitat heterogeneity determines climate impact on zooplankton community structure and dynamics. PLoS One 9 (3): e90875.
CrossRef | Gscholar
(33)
Pacifici M, Foden WB, Visconti P, Watson JE, Butchart SH, Kovacs KM, Scheffers BR, Hole DG, Martin TG, Akçakaya HR, Corlett RT, Huntley B, Bickford D, Carr JA, Hoffmann AA, Midgley GF, Pearce-Kelly P, Pearson RG, Williams SE, Willis SG, Young B, Rondinini C (2015)
Assessing species vulnerability to climate change. Nature Climate Change 5 (3): 215-224.
CrossRef | Gscholar
(34)
Palmer G, Hill JK, Brereton TM, Brooks DR, Chapman JW, Fox R, Oliver TH, Thomas CD (2015)
Individualistic sensitivities and exposure to climate change explain variation in species’ distribution and abundance changes. Science Advances 1 (9): 1400220.
CrossRef | Gscholar
(35)
Parmesan C, Hanley ME (2015)
Plants and climate change: complexities and surprises. Annals of Botany 116 (6): 849-64.
CrossRef | Gscholar
(36)
Paschalis A, Katul GG, Fatichi S, Manoli G, Molnar P (2016)
Matching ecohydrological processes and scales of banded vegetation patterns in semiarid catchments. Water Resources Research 52: 2259-2278.
CrossRef | Gscholar
(37)
Peterson AT, Nakazawa Y (2008)
Environmental data sets matter in ecological niche modelling: an example with Solenopsis invicta and Solenopsis richteri. Global ecology and Biogeography 17 (1): 135-144.
CrossRef | Gscholar
(38)
Reitalu T, Bjune AE, Blaus A, Giesecke T, Helm A, Matthias I, Peglar SM, Salonen JS, Seppä H, Väli V, Birks HJB (2019)
Patterns of modern pollen and plant richness across northern Europe. Journal of Ecology 107 (4): 1662-1677.
CrossRef | Gscholar
(39)
Saucedo-Pompa S, Torres-Castillo JA, Castro-López C, Rojas R, Sánchez-Alejo EJ, Ngangyo-Heya M, Martínez-Avila GCG (2018)
Moringa plants: bioactive compounds and promising applications in food products. International Food Research Journal 111: 438-450.
CrossRef | Gscholar
(40)
Seif A (2014)
Landform classification by slope position classes. Bulletin of Environment, Pharmacology and Life Sciences 3 (11): 62-69.
Gscholar
(41)
Senner NR, Stager M, Cheviron ZA (2018)
Spatial and temporal heterogeneity in climate change limits species’ dispersal capabilities and adaptive potential. Ecography 41 (9): 1428-1440.
CrossRef | Gscholar
(42)
Sirami C, Caplat P, Popy S, Clamens A, Arlettaz R, Jiguet F, Brotons L, Martin JL (2016)
Impacts of global change on species distributions: obstacles and solutions to integrate climate and land use. Global Ecology and Biogeography 26: 385-394.
CrossRef | Gscholar
(43)
Stein A, Gerstner K, Kreft H (2014)
Environmental heterogeneity as a universal driver of species richness across taxa, biomes and spatial scales. Ecology Letter 17: 866-880.
CrossRef | Gscholar
(44)
Tripathi P, Behera MD, Roy PS (2019)
Spatial heterogeneity of climate explains plant richness distribution at the regional scale in India. PLoS One 14 (6): e0218322.
CrossRef | Gscholar
(45)
Vaknin Y, Eisikowitch D, Mishal A (2021)
Floral and pollen traits of Moringa oleifera Lam. and Moringa peregrina (Forssk.) Fiori provide reproductive adaptations for arid conditions. Agronomy Journal 11(6): 1090.
CrossRef | Gscholar
(46)
Viera Barreto JN, Sancho G, Bonifacino JM, Pliscoff P (2021)
Modeling the 20th-century distribution changes of Microgyne trifurcata, a rare plant of the southern South American grasslands. Plant Ecology 222 (9): 1033-1049.
CrossRef | Gscholar
(47)
Wagenitz G (1980)
Centaurea L. In: “Flora Iranica” (Rechinger KH). Akademische Druck-und, Verlagsanstalt, Graz, Austria, pp. 313-420.
Gscholar
(48)
Wang S, Xu X, Shrestha N, Zimmermann NE, Tang Z, Wang Z (2017)
Response of spatial vegetation distribution in China to climate changes since the Last Glacial Maximum (LGM). PloS One 12 (4), e0175742.
CrossRef | Gscholar
(49)
Weisberg PJ, Diltes TE, Becker ME (2014)
Guild-specific responses of avian species richness to lidar-derived habitat heterogeneity. Acta Oecologica 59: 72-83.
CrossRef | Gscholar
(50)
Weiss A (2001)
Topographic position and landforms analysis. Poster presentation, ESRI user conference, San Diego, CA (Vol. 200).
Online | Gscholar
(51)
Yang Z, Liu X, Zhou M, Ai D, Wang G, Wang Y, Chu C, Lundholm JT (2015)
The effect of environmental heterogeneity on species richness depends on community position along the environmental gradient. Scientific Report 5 (1): 1-7.
CrossRef | Gscholar
(52)
Zeppilli D, Pusceddu A, Trincardi F, Danovaro R (2016)
Seafloor heterogeneity influences the biodiversity-ecosystem functioning relationships in the deep sea. Scientific Report 6 (1): 1-12.
CrossRef | Gscholar
 

This website uses cookies to ensure you get the best experience on our website. More info