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Research article · 2026 · Full text

International Journal of Geography Geology and Environment

Biogeographic paterns and altitudinal distribution of Heteropteryx dilatata across Tropical Rainforest elevational gradients

Anna Visser

Volume 8(5) · Pages 145–148 · DOI: 10.22271/27067483.2026.v8.i5b.814 ↗

Research areasSpecies Distribution and Climate ChangeColeoptera Taxonomy and DistributionOrthoptera Research and Taxonomy

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Abstract

Author-written

Altitudinal gradients in tropical mountains compress broad latitudinal environmental variation into short geographic distances, creating natural laboratories for investigating species distributional limits. This research examined the biogeographic patterns and altitudinal distribution of Heteropteryx dilatata across five major geographic regions spanning elevational gradients from sea level to 1800 meters above sea level in Southeast Asia, integrating field survey data from 68 transects with bioclimatic modelling and historical biogeographic analysis. Systematic surveys conducted between March 2022 and August 2023 documented the species across an elevational range of 50-1340 meters, with peak abundance occurring between 200 and 600 meters in all five regions. The relative abundance index declined sharply above 800 meters, with no detections recorded above 1340 meters. Lowland populations (below 500 meters) in Peninsular Malaysia showed the highest abundance indices (mean: 48.2), while highland populations (above 1200 meters) were consistently sparse across all regions. Land-use composition analysis revealed that forest cover was the dominant predictor of local abundance (partial r = 0.82), with agricultural land conversion reducing abundance indices by 62% compared to forested sites at equivalent elevations. Bioclimatic modelling projected a potential upward elevational shift of 120-280 meters in the species' optimal zone under moderate climate change scenarios by 2070. These findings place H. dilatata within a broader biogeographic framework of Southeast Asian montane invertebrate distributions and highlight the vulnerability of lowland populations to both land-use change and climate-driven range contraction.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Tropical mountain altitudinal gradients serve as natural laboratories for studying species distribution limits because they compress wide environmental variations into small geographic areas. View evidence ↗

      Why it matters

      Tropical mountain altitudinal gradients serve as natural laboratories for studying species distribution limits because they compress wide environmental variations into small geographic areas.

      In the paper's own words

      “Altitudinal gradients in tropical mountains compress broad latitudinal environmental variation into short geographic distances, creating natural laboratories for investigating species distributional limits.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • While Heteropteryx dilatata is known to exist at various elevations in Southeast Asia, there has been no systematic mapping of its altitudinal distribution using standardized methods. View evidence ↗

      Why it matters

      While Heteropteryx dilatata is known to exist at various elevations in Southeast Asia, there has been no systematic mapping of its altitudinal distribution using standardized methods.

      In the paper's own words

      “Heteropteryx dilatata (Parkinson, 1798) has been recorded from various elevations across its Southeast Asian range, but no systematic investigation has mapped its altitudinal distribution across multiple regions using standardized survey methodology”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to map the altitudinal distribution of H. dilatata across five regions, determine the environmental factors affecting its limits, evaluate the impact of land use on abundance, and project future range shifts due to climate change. View evidence ↗

      The question

      The study aimed to map the altitudinal distribution of H. dilatata across five regions, determine the environmental factors affecting its limits, evaluate the impact of land use on abundance, and project future range shifts due to climate change.

      In the paper's own words

      “This research aimed to characterize the altitudinal distribution of H. dilatata across five major biogeographic regions, identify the environmental factors governing elevational limits, assess the influence of land-use composition on local abundance, and project potential range shifts under future climate scenarios.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • Field surveys were performed across 68 transects in five Southeast Asian regions: Peninsular Malaysia, Borneo, Sumatra, Thailand, and the Philippines. View evidence ↗

      What they did

      Field surveys were performed across 68 transects in five Southeast Asian regions: Peninsular Malaysia, Borneo, Sumatra, Thailand, and the Philippines.

      In the paper's own words

      “Field surveys were conducted across 68 transect sites distributed among five biogeographic regions: Peninsular Malaysia (n = 18), Borneo (n = 16), Sumatra (n = 14), Thailand (n = 12), and the Philippines (n = 8).”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • The study stratified sites into three elevational bands: lowland (below 500m), montane (500-1200m), and highland (above 1200m). View evidence ↗

      What they did

      The study stratified sites into three elevational bands: lowland (below 500m), montane (500-1200m), and highland (above 1200m).

      In the paper's own words

      “Sites were stratified by elevation into three altitudinal bands: lowland (below 500 meters, n = 26), montane (500-1200 meters, n = 24), and highland (above 1200 meters, n = 18).”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • Data was collected via nocturnal visual encounter surveys on 400-meter transects conducted between 20:00 and 01:00 hours. View evidence ↗

      What they did

      Data was collected via nocturnal visual encounter surveys on 400-meter transects conducted between 20:00 and 01:00 hours.

      In the paper's own words

      “Nocturnal visual encounter surveys followed standardized protocols, with 400-meter transects surveyed by two observers between 20:00 and 01:00 hours during three sampling periods per site.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • The researchers used an ensemble bioclimatic modeling approach that combined MaxEnt, generalized additive models (GAM), and boosted regression trees (BRT). View evidence ↗

      What they did

      The researchers used an ensemble bioclimatic modeling approach that combined MaxEnt, generalized additive models (GAM), and boosted regression trees (BRT).

      In the paper's own words

      “Bioclimatic modelling was conducted using an ensemble approach combining MaxEnt, generalized additive models (GAM), and boosted regression trees (BRT).”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • H. dilatata was found at 52 of the 68 surveyed transects, representing a 76.5% occupancy rate. View evidence ↗

      What they found

      H. dilatata was found at 52 of the 68 surveyed transects, representing a 76.5% occupancy rate.

      In the paper's own words

      “Across the 68 surveyed transects, H. dilatata was detected at 52 sites (76.5% occupancy).”

      Page 2

      Found in: Results

      Read it in the full textOpen PDF at page 2 ↗
    • The species was recorded from 50 to 1340 meters, with the highest abundance consistently found between 200 and 600 meters across all regions. View evidence ↗

      What they found

      The species was recorded from 50 to 1340 meters, with the highest abundance consistently found between 200 and 600 meters across all regions.

      In the paper's own words

      “Systematic surveys conducted between March 2022 and August 2023 documented the species across an elevational range of 50-1340 meters, with peak abundance occurring between 200 and 600 meters in all five regions.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The highest mean abundance index (48.2) was found in lowland populations of Peninsular Malaysia, whereas highland populations above 1200 meters were sparse everywhere. View evidence ↗

      What they found

      The highest mean abundance index (48.2) was found in lowland populations of Peninsular Malaysia, whereas highland populations above 1200 meters were sparse everywhere.

      In the paper's own words

      “Lowland populations (below 500 meters) in Peninsular Malaysia showed the highest abundance indices (mean: 48.2), while highland populations (above 1200 meters) were consistently sparse across all regions.”

      Page 1

      Found in: Material

      Read it in the full textOpen PDF at page 1 ↗
    • Forest cover was the primary predictor of abundance; converting forest to agricultural land reduced abundance indices by 62% at the same elevations. View evidence ↗

      What they found

      Forest cover was the primary predictor of abundance; converting forest to agricultural land reduced abundance indices by 62% at the same elevations.

      In the paper's own words

      “Land-use composition analysis revealed that forest cover was the dominant predictor of local abundance (partial r = 0.82), with agricultural land conversion reducing abundance indices by 62% compared to forested sites at equivalent elevations.”

      Page 1

      Found in: Results

      Read it in the full textOpen PDF at page 1 ↗
    • By 2070, the optimal elevational zone is projected to shift upward by 120-180 meters under the SSP2-4.5 scenario and 200-280 meters under the SSP5-8.5 scenario. View evidence ↗

      What they found

      By 2070, the optimal elevational zone is projected to shift upward by 120-180 meters under the SSP2-4.5 scenario and 200-280 meters under the SSP5-8.5 scenario.

      In the paper's own words

      “Future projections under SSP2-4.5 predicted an upward shift of 120-180 meters in the optimal elevational zone by 2070, while SSP5-8.5 projected shifts of 200-280 meters.”

      Page 3

      Found in: Results

      Read it in the full textOpen PDF at page 3 ↗
    • Climate change is projected to reduce the total area of suitable habitat by 18-34% as the upper montane zone narrows. View evidence ↗

      What they found

      Climate change is projected to reduce the total area of suitable habitat by 18-34% as the upper montane zone narrows.

      In the paper's own words

      “Under both scenarios, the total area of climatically suitable habitat was projected to decrease by 18-34% due to the narrowing of the upper montane zone.”

      Page 3

      Found in: Results

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors recommend prioritizing the protection of lowland and lower montane forests for conservation, as these areas have the highest abundance and the greatest risk from agriculture. View evidence ↗

      What it means

      The authors recommend prioritizing the protection of lowland and lower montane forests for conservation, as these areas have the highest abundance and the greatest risk from agriculture.

      In the paper's own words

      “It is recommended that conservation planning for this species prioritize the protection of lowland and lower montane forest areas where current abundance is highest and threat from agricultural conversion is greatest.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The authors state that long-term monitoring along elevational transects is necessary to detect early signs of climate-driven shifts in distribution. View evidence ↗

      What it means

      The authors state that long-term monitoring along elevational transects is necessary to detect early signs of climate-driven shifts in distribution.

      In the paper's own words

      “Looking forward, long-term monitoring programs along established elevational transects will be essential for detecting early signals of climate-driven distributional shifts”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

4 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (Heteropteryx dilatata (giant forest gecko)). It explains the idea and does not show study data.↗ Enlarge
Altitudinal Distribution Profile
AI-generated conceptual illustration (Heteropteryx dilatata (giant forest gecko)). It explains the idea and does not show study data.

AI-generated conceptual illustration (Heteropteryx dilatata (giant forest gecko)). It explains the idea and does not show study data.

Open full-size image ↗

Altitudinal Distribution Profile

AI-generated conceptual illustration (Heteropteryx dilatata (giant forest gecko)). It explains the idea and does not show study data.

View source evidence ↗
AI-generated illustration
AI-generated conceptual illustration (Heteropteryx dilatata (giant forest frog)). It explains the idea and does not show study data.↗ Enlarge
Climate-Driven Range Shift
AI-generated conceptual illustration (Heteropteryx dilatata (giant forest frog)). It explains the idea and does not show study data.

AI-generated conceptual illustration (Heteropteryx dilatata (giant forest frog)). It explains the idea and does not show study data.

Open full-size image ↗

Climate-Driven Range Shift

AI-generated conceptual illustration (Heteropteryx dilatata (giant forest frog)). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Peninsular Malaysia: Lowland (<500m) vs Montane (500- 1200m) vs Highland (>1200m)
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Peninsular Malaysia: Lowland (<500m) vs Montane (500- 1200m) vs Highland (>1200m)

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Borneo: Lowland (<500m) vs Montane (500- 1200m) vs Highland (>1200m)
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Borneo: Lowland (<500m) vs Montane (500- 1200m) vs Highland (>1200m)

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Relative abundance indices of Heteropteryx dilatata acrossTable 1Page 2Grouped bar chart comparing relative abundance indices of Heteropteryx dilatata across five biogeographic regions at three altitudinalFigure 1Page 2Summary statistics of bioclimatic and land-use variables associated with Heteropteryx dilatata presence across elevational zonesTable 2Page 3Stacked bar chart showing land-use composition (forest cover, agriculture, urban, other) across five geographic sub-regions within theFigure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Leading biogeographers have long recognized that elevational gradients in tropical mountains represent among the most powerful natural systems for investigating the environmental determinants of species distributions [1,2] . The compression of temperature, humidity, and vegetation transitions across relatively short vertical distances creates replicated environmental gradients that can be leveraged to identify the bioclimatic envelope constraining a given species [3] . Heteropteryx dilatata (Parkinson, 1798) has been recorded from various elevations across its Southeast Asian range, but no systematic investigation has mapped its altitudinal distribution across multiple regions using standardized survey methodology [4,5] . The biogeography of Southeast Asian arthropods is shaped by the complex geological history of the Sunda Shelf, including Pleistocene glacial-interglacial cycles that repeatedly connected and isolated landmasses, promoting both dispersal and vicariance [6,7] . For forest-dependent species such as H. dilatata, these historical dynamics have likely left signatures in current distributional paterns that may be detectable through comparative analysis across regions [8] . Krejsa documented locality records spanning several elevational zones but noted that the upper and lower distributional limits of the species remained poorly defined [8] . This research aimed to characterize the altitudinal distribution of H. dilatata across five major biogeographic regions, identify the environmental factors governing elevational limits, assess the influence of land-use composition on local abundance, and project potential range shifts under future climate scenarios.

Material and Methods

Material and Methods

Material

Field surveys were conducted across 68 transect sites distributed among five biogeographic regions: Peninsular Malaysia (n = 18), Borneo (n = 16), Sumatra (n = 14), Thailand (n = 12), and the Philippines (n = 8). Sites were stratified by elevation into three altitudinal bands: lowland (below 500 meters, n = 26), montane (500-1200 meters, n = 24), and highland (above 1200 meters, n = 18). Surveys were conducted from March 2022 to August 2023. Environmental data recorded at each site included elevation (GPS altimeter), mean annual temperature (from local weather stations), mean annual precipitation, canopy cover, and land-use classification within a 1-kilometer bufer radius. Research permits were obtained from relevant authorities in each country. Ethical approval was granted by the Amsterdam Institute (AIBR/Ethics/2022-046).

Methods

Nocturnal visual encounter surveys followed standardized protocols, with 400-meter transects surveyed by two observers between 20:00 and 01:00 hours during three sampling periods per site. Relative abundance indices (RAI) were calculated as the number of H. dilatata individuals detected per transect per survey night. Land-use composition within a 1-kilometer bufer around each transect was classified from satellite imagery (Sentinel-2, 10-meter resolution) into four categories: forest, agriculture, urban, and other. Bioclimatic modelling was conducted using an ensemble approach combining MaxEnt, generalized additive models (GAM), and boosted regression trees (BRT). Current distributional data were fited against bioclimatic variables from CHELSA version 2.1 (1-kilometer resolution). Future projections used the CMIP [6] SSP2-4.5 and SSP5-8.5 scenarios for the year 2070. Model performance was evaluated using AUC and TSS metrics with 10-fold cross-validation. Statistical analyses of abundance data used generalized linear mixed models (GLMM) with Poisson distribution and log link, including region as a random efect and elevation, land-use proportion, and bioclimatic variables as fixed efects.

Elevational Diversity Paterns in Tropical Arthropods

The mid-elevation peak in species richness and abundance observed for many tropical arthropod groups has been atributed to the mid-domain efect, the intersection of favorable thermal and moisture conditions, and the convergence of lowland and montane species pools [1,3] . For H. dilatata, the expected abundance patern along elevational gradients is shaped by the species' thermal tolerance range and its association with lowland and lower montane dipterocarp forest formations that predominate below approximately 1000 meters in Southeast Asian mountains [4,9] .

Climate Change and Elevational Range Shifts

Climate change is predicted to drive upward elevational shifts in the distributional limits of many tropical ectotherms, potentially compressing mountain-top populations into smaller areas while expanding upper-elevation range margins [2,10] . For species with limited dispersal capacity, the rate of environmental change may exceed the rate at which populations can track suitable conditions, creating extinction debts that manifest over decadal timescales [11] .

Results

Across the 68 surveyed transects, H. dilatata was detected at 52 sites (76.5% occupancy). The species was recorded from a minimum elevation of 50 meters to a maximum of 1340 meters, although abundance declined markedly above 800 meters. The overall mean relative abundance index across all occupied sites was 28.4 individuals per transect, with substantia regional variation. The GLMM analysis identified forest cover as the strongest predictor of local abundance (coeficient = 0.84, p<0.001), followed by mean annual temperature (0.62, p = 0.002) and agricultural land proportion (negative coeficient = -0.72, p<0.001). The ensemble bioclimatic model achieved high predictive performance (mean AUC = 0.91, TSS = 0.78). Future projections under SSP2-4.5 predicted an upward shift of 120-180 meters in the optimal elevational zone by 2070, while SSP5-8.5 projected shifts of 200-280 meters. Under both scenarios, the total area of climatically suitable habitat was projected to decrease by 18-34% due to the narrowing of the upper montane zone.

Discussion

The altitudinal distribution patern documented for H. dilatata shows peak abundance in the lowland to lower montane zone (200-600 meters), declining sharply above 800 meters and absent above 1340 meters. This patern is consistent with thermal limitation at higher elevations, where mean temperatures drop below the species' presumed thermal optimum of 25-28 degrees Celsius [4,8] . The strong positive efect of forest cover on abundance confirms previous observations that this species is forest-dependent and unable to persist in deforested landscapes [5,7] . The projected upward elevational shifts under climate change scenarios have concerning implications, as the area of suitable montane habitat decreases geometrically with elevation due to the conical geometry of tropical mountains [2,10] . This means that even modest upward range shifts could result in substantial reductions in total available habitat area, creating a double threat from simultaneous lowland deforestation and high-elevation climate compression [11] .

Conclusion

Within the biogeographic context of Southeast Asian montane invertebrate distributions, H. dilatata follows the expected patern of lowland-dominated abundance declining with elevation, constrained by thermal limits above approximately 1300 meters. The key findings highlighted include the strong dependence on forest cover for population persistence, the identification of the 200-600 meter elevational band as the core distributional zone, and the projection of significant upward range contraction under future climate scenarios. It is recommended that conservation planning for this species prioritize the protection of lowland and lower montane forest areas where current abundance is highest and threat from agricultural conversion is greatest. Looking forward, long-term monitoring programs along established elevational transects will be essential for detecting early signals of climate-driven distributional shifts and informing adaptive management responses.

Acknowledgement

AcknowledgementsWJvdB designed the research framework and led the biogeographic analysis, EMdG coordinated field surveys across all five regions, TPB performed bioclimatic modelling and future projections, and CAV contributed to GIS analysis and land-use classification. This research was funded by the Netherlands Organization for Scientific Research (NWO). The Amsterdam Institute of Biogeographic Research provided

Figures and tables from the paper

Table 1. Relative abundance indices of Heteropteryx dilatata across
RegionLowland (<500m)Montane (500- 1200m)Highland (>1200m)
Peninsular Malaysia48.234.88.6
Borneo42.642.614.2
Sumatra38.422.8—
Thailand32.138.228.4
Philippines24.828.418.6

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Relative abundance indices of Heteropteryx dilatata across↗ Enlarge
Table 1
Relative abundance indices of Heteropteryx dilatata across

Relative abundance indices of Heteropteryx dilatata across

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Original paper tableSource PDF · page 2 ↗
Figure 1. Grouped bar chart comparing relative abundance indices of Heteropteryx dilatata across five biogeographic regions at three altitudinal
Grouped bar chart comparing relative abundance indices of Heteropteryx dilatata across five biogeographic regions at three altitudinal↗ Enlarge
Figure 1
Grouped bar chart comparing relative abundance indices of Heteropteryx dilatata across five biogeographic regions at three altitudinal

Grouped bar chart comparing relative abundance indices of Heteropteryx dilatata across five biogeographic regions at three altitudinal

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Table 2. Summary statistics of bioclimatic and land-use variables associated with Heteropteryx dilatata presence across elevational zones
VariableMean (Occupied)Mean (Absent)GLMM coefficientp-value
Forest cover (%)72.438.60.84<0.001
Mean annual temp (C)24.620.80.620.002
Annual precip (mm)248018600.480.018
Agriculture (%)12.434.8-0.72<0.001
Elevation (m)448842-0.580.004

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Summary statistics of bioclimatic and land-use variables associated with Heteropteryx dilatata presence across elevational zones↗ Enlarge
Table 2
Summary statistics of bioclimatic and land-use variables associated with Heteropteryx dilatata presence across elevational zones

Summary statistics of bioclimatic and land-use variables associated with Heteropteryx dilatata presence across elevational zones

Open full-size image ↗
Original paper tableSource PDF · page 3 ↗
Figure 2. Stacked bar chart showing land-use composition (forest cover, agriculture, urban, other) across five geographic sub-regions within the
Stacked bar chart showing land-use composition (forest cover, agriculture, urban, other) across five geographic sub-regions within the↗ Enlarge
Figure 2
Stacked bar chart showing land-use composition (forest cover, agriculture, urban, other) across five geographic sub-regions within the

Stacked bar chart showing land-use composition (forest cover, agriculture, urban, other) across five geographic sub-regions within the

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

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