Environmental gradient


An environmental gradient, or climate gradient, is a change in abiotic (non-living) factors through space (or time). Environmental gradients can be related to factors such as altitude, depth, temperature, soil humidity and precipitation. Often times, a multitude of biotic (living) factors are closely related to these gradients; as a result of a change in an environmental gradient, factors such as species abundance, population density, morphology, primary productivity, predation, and local adaptation may be impacted.[1]

Variations in average annual precipitation across a defined range (here, Africa) can constitute an environmental gradient.

Abiotic InfluenceEdit

The species distribution along environmental gradients has been studied intensively due to large databases of species presence data (e.g. GBIF). The abiotic factors that environmental gradients consist of can have a direct ramifications on organismal survival. Generally, organismal distribution is tied to those abiotic factors, but even an environmental gradient of one abiotic factor yields insight into how a species distribution might look. For example, aspects of the landscape such as soil composition, temperature, and precipitation all factor in to an accurate idea of habitable territory a plant species might occupy; information on one of those factors can help form an environmental gradient by which a proximate species distribution may be generated.[2] Similarly, along the upstream-downstream gradient of a river, fish assemblages (groupings) can vary in species and trait diversity; upstream habitats, which tend to be at higher elevations, have been observed to develop greater species and trait diversity. With elevated regions most intensely feeling the effects of climate change and these effects being linked to increased species diversity in impacted regions, this is a key consideration in prioritizing habitats for conservation efforts.[3] At an ecotone, species abundances change relatively quickly compared to the environmental gradient.

Biotic InteractionsEdit

Although environmental gradients are comprised gradually changing and predictable patterns of an abiotic factor, there is strong interplay between both biotic-biotic factors as well as biotic-abiotic factors. For example, species abundances usually change along environmental gradients in a more or less predictive way. However, the species abundance along an environmental gradient is not only determined by the abiotic factor associated with the gradient but, also by the change in the biotic interactions, like competition and predation, along the environmental gradient.[4][5]

Local Adaptation Along Environmental GradientsEdit

Depending on the size of the landscape and the gene flow between populations, local adaptation could arise between populations inhabiting two extremes of the landscape. The opposing extremes in abiotic conditions that are faced between populations and the lack of homogenizing gene flow could present conditions where two populations are able to differentiate.[6] Often times when comparing fitness or phenotypic values across an environmental gradient, the data are fixated into a reaction norm framework. In this way, an individual can directly assess the changes across a landscape of a particular species' phenotype or compare fitness and phenotypes of populations within a species across environmental gradients (particularly when performing reciprocal transplant studies).

Impact of Climate ChangeEdit

Current models predict that as climate change intensifies, certain environmental gradients may experience the effects as changing rates of natural processes or impacts on distribution and characteristics of species within them.[7][8][9] Given the interconnectedness of abiotic factors, long-term disturbances of one gradient have the possibility of affecting other gradients.

Soil characteristicsEdit

Soil respiration, the process of soil naturally releasing carbon dioxide into the atmosphere, acts as an example of this. In areas where soil moisture is not limiting (with moisture being a key part of the respiration process), soil respiration increases with rising temperatures; thus, respiration patterns form the gradient, and higher emissions are observed in warmer ecosystems. Similarly, rate of precipitation has a positive correlation with respiration (as moisture no longer becomes a limiting factor). Thus, it not only is its own gradient (average precipitation across a range), but also connects with the respiration gradient and impacts it.[10]


Altitude gradients are a key consideration in understanding migration patterns due to the effects of global warming. As temperatures increase, trees adapted to warmer climates will migrate uphill for access to sunlight, and thus populations of temperate or cold-adapted trees and the habitats suitable for them will shrink.[11]

Environmental gradients in societyEdit

The distribution of radiation traveling outward from the site of the Fukushima Daiichi nuclear disaster formed a man-made environmental gradient on the Honshu island of Japan.

Environmental gradients are not limited to naturally occurring variations in environmental factors across a range; they have also been created by human activity and industrialization. Air pollution is present as an environmental gradient in areas containing power plants, factories, and other pollutant-emitting facilities, as are environmental toxins, such as heavy metals, radiation, and pesticides; generally speaking, concentration decreases as distance from origin site increases.[12][13][14] Differences in exposure to these elements across populations due to proximity to the origin site has become a major concern of environmental and public health activists, who cite health disparities linked to these gradients as an environmental justice concern.[15][16]

See alsoEdit


  1. ^ Floret, C.; Galan, M. J.; LeFloc'h, E.; Orshan, G.; Romane, F. (1990). "Growth forms and phenomorphology traits along an environmental gradient: tools for studying vegetation?". Journal of Vegetation Science. 1 (1): 71–80. doi:10.2307/3236055. ISSN 1654-1103. JSTOR 3236055.
  2. ^ Kirkman, L. K.; Mitchell, R. J.; Helton, R. C.; Drew, M. B. (November 2001). "Productivity and species richness across an environmental gradient in a fire-dependent ecosystem". American Journal of Botany. 88 (11): 2119–2128. doi:10.2307/3558437. ISSN 0002-9122. JSTOR 3558437. PMID 21669643.
  3. ^ Buisson, Laëtitia; Grenouillet, Gaël (2009). "Contrasted impacts of climate change on stream fish assemblages along an environmental gradient". Diversity and Distributions. 15 (4): 613–626. doi:10.1111/j.1472-4642.2009.00565.x.
  4. ^ Rydgren, Knut; Økland, Rune Halvorsen; Økland, Tonje (2003). "Species response curves along environmental gradients. A case study from SE Norwegian swamp forests". Journal of Vegetation Science. 14 (6): 869–880. doi:10.1111/j.1654-1103.2003.tb02220.x. ISSN 1654-1103.
  5. ^ Werner, Earl E.; McPeek, Mark A. (1994). "Direct and Indirect Effects of Predators on Two Anuran Species along an Environmental Gradient". Ecology. 75 (5): 1368–1382. doi:10.2307/1937461. ISSN 0012-9658. JSTOR 1937461.
  6. ^ Hereford, Joe; Winn, Alice A. (2008). "Limits to local adaptation in six populations of the annual plant Diodia teres". The New Phytologist. 178 (4): 888–896. doi:10.1111/j.1469-8137.2008.02405.x. ISSN 1469-8137. PMID 18384510.
  7. ^ Pardi, Melissa I.; Graham, Russell W. (2019). "Changes in small mammal communities throughout the late Quaternary across eastern environmental gradients of the United States". Quaternary International. 530–531: 80–87. Bibcode:2019QuInt.530...80P. doi:10.1016/j.quaint.2018.05.041. S2CID 134434800.
  8. ^ Wehn, Sølvi; Lundemo, Sverre; Holten, Jarle I. (2014). "Alpine vegetation along multiple environmental gradients and possible consequences of climate change". Alpine Botany. 124 (2): 155–164. doi:10.1007/s00035-014-0136-9. ISSN 1664-2201. S2CID 16764321.
  9. ^ Henry, P.; Russello, M. A. (2013). "Adaptive divergence along environmental gradients in a climate‐change‐sensitive mammal". Ecology and Evolution. 3 (11): 3906–3917. doi:10.1002/ece3.776. ISSN 2045-7758. PMC 3810883. PMID 24198948.
  10. ^ Reynolds, Lorien L.; Johnson, Bart R.; Pfeifer‐Meister, Laurel; Bridgham, Scott D. (2015). "Soil respiration response to climate change in Pacific Northwest prairies is mediated by a regional Mediterranean climate gradient". Global Change Biology. 21 (1): 487–500. Bibcode:2015GCBio..21..487R. doi:10.1111/gcb.12732. ISSN 1354-1013. PMID 25205511.
  11. ^ Ruiz-Labourdette, Diego; Nogués-Bravo, David; Ollero, Helios Sáinz; Schmitz, María F.; Pineda, Francisco D. (2012). "Forest composition in Mediterranean mountains is projected to shift along the entire elevational gradient under climate change: Forest dynamics under climate change". Journal of Biogeography. 39 (1): 162–176. doi:10.1111/j.1365-2699.2011.02592.x.
  12. ^ Semenova, Yuliya; Pivina, Lyudmila; Zhunussov, Yersin; Zhanaspayev, Marat; Chirumbolo, Salvatore; Muzdubayeva, Zhanna; Bjørklund, Geir (2020). "Radiation-related health hazards to uranium miners". Environmental Science and Pollution Research. 27 (28): 34808–34822. doi:10.1007/s11356-020-09590-7. ISSN 0944-1344. PMID 32638305. S2CID 220398252.
  13. ^ Tsai, Wen-Tien (2005). "An overview of environmental hazards and exposure risk of hydrofluorocarbons (HFCs)". Chemosphere. 61 (11): 1539–1547. Bibcode:2005Chmsp..61.1539T. doi:10.1016/j.chemosphere.2005.03.084. PMID 15936055.
  14. ^ Ameh, Thelma; Sayes, Christie M. (2019). "The potential exposure and hazards of copper nanoparticles: A review". Environmental Toxicology and Pharmacology. 71: 103220. doi:10.1016/j.etap.2019.103220. PMID 31306862. S2CID 196810894.
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  16. ^ Lauriola, Paolo; Crabbe, Helen; Behbod, Behrooz; Yip, Fuyuen; Medina, Sylvia; Semenza, Jan C.; Vardoulakis, Sotiris; Kass, Dan; Zeka, Ariana; Khonelidze, Irma; Ashworth, Matthew (2020-03-17). "Advancing Global Health through Environmental and Public Health Tracking". International Journal of Environmental Research and Public Health. 17 (6): 1976. doi:10.3390/ijerph17061976. ISSN 1660-4601. PMC 7142667. PMID 32192215.