Assessing the impact of binary land cover variables on species distribution models: A North American study on water birds DOI Creative Commons
Lukáš Gábor, Jeremy M. Cohen, Walter Jetz

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 2, 2023

Abstract Aim Species distribution models (SDMs) are an important tool for predicting species occurrences in geographic space and understanding the drivers of these occurrences. An effect environmental variable selection on SDM outcomes has been noted, but how treatment variables influences models, including model performance predicted range area, remains largely unclear. For example, although landcover included SDMs form proportions, or relative cover, recent findings suggest that associated with uncommon habitats simple presence absence a feature is most informative. Here we investigate generality this hypothesis determine which representation features produces best-performing affects area estimates. Finally, document modulated by spatial grain size, known to influence estimated area. Location North America Methods We fit (via Random Forest) 57 water bird using proportional binary estimates cover grid cell occurrence data from eBird citizen science initiative. evaluated four different thresholds prevalence (land representations) within (1%, 10%, 20% 50%) across both breeding non-breeding seasons multiple sizes (1, 5, 10, 50 km lengths). Results Model was not significantly affected type land representation. However, when were fitted variables, model-assessed importance bodies decreased, especially at coarse sizes. In variable-case, relied more other over-or under-predicted 5-30%. some cases, differences up 70% ranges observed. Main conclusions summarizing often afterthought modelling. Inaccurate areas resulting as could lead prioritization conservation efforts where do occur cause crucial be missed. Importantly, our results finer sizes, might useful accurately measuring distributions. studies relatively recommend fitting variables.

Language: Английский

Evaluation of niche, diversity, and risks of microplastics in farmland soils of different rocky desertification areas DOI

Xiuyuan Yang,

Zuyan Wan,

Jinnan Xiao

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 466, P. 133603 - 133603

Published: Jan. 24, 2024

Language: Английский

Citations

10
Anthropogenic Pressures Lead to Different Patterns of Niche Contraction and Protected Area Cover in Three Species Procapra Gazelles on Qinghai‐Tibet Plateau and Mongolia DOI Creative Commons
Y. Zhu, J. A. Britnell, Jie Shi

et al.

Diversity and Distributions, Journal Year: 2025, Volume and Issue: 31(1)

Published: Jan. 1, 2025

ABSTRACT Aim Anthropogenic threats often lead to range contraction towards the margins of a species historic niche, resulting in increased extinction risk. Here, we investigate niche characteristics current and populations evaluate changes ‘Area Niche’ (AON) following loss from different levels anthropogenic three congeneric Asian gazelle are facing: Przewalski's ( Procapra przewalskii ), Tibetan P. picticaudata ) Mongolian gazelles gutturosa ). Location Tibet, Qinghai Mongolia. Methods We collated maps for contemporary distributions Przewalski's, created 3‐dimensional hypervolume convex hull models using environmental variables Worldclim dataset (v2) together with topographic information SRTM elevation data Area Habitat evaluated over time. calculated Niche by projecting scaled Mahalanobis distance centroid each grid cell onto species' range. Finally, how protected area network overlaps characteristics. Results The endangered has lost almost all its remaining at peripheries. In contrast, near‐threatened least‐concern have less contracted their centre. Protected areas were biased ecological ranges, which can result sub‐optimal conservation strategies. Main Conclusions This study uses modelling occupied that undergone contraction. highlight most affected vulnerable shift These also mismatch between space. advocate strategies should include dynamics as an indicator

Language: Английский

Citations

1
Biodiversity Patterns Redefined in Environmental Space DOI
Catherine H. Graham, Matheus Lima Araujo, Elisa Barreto

et al.

Ecology Letters, Journal Year: 2025, Volume and Issue: 28(2)

Published: Feb. 1, 2025

ABSTRACT Ecological and evolutionary questions addressing diversity‐environment relationships have been evaluated almost entirely in geographic space, yet most hypotheses are formulated terms of environmental conditions. Recent examples evaluating macroecological patterns directly space suggest that such refocusing provides different perspectives on the mechanisms driving broad‐scale diversity. Yet, we lack both conceptual frameworks targeted studies to fully evaluate potential contribution a refocus. Here, focus concept by briefly reviewing its use ecology evolution suggesting avenues for further development. We encourage re‐evaluation dominated ecological theory since foundations with very simple shift lens, is, from geographical space. Focusing also crucial lens climate change research, enabling comprehensive evaluation biodiversity dynamics offering holistic view interplay between species their evolving environments. This enhances our ability predict adapt future changes, enriching understanding beyond more commonly done analyses.

Language: Английский

Citations

1
Animal-borne sensors as a biologically informed lens on a changing climate DOI
Diego Ellis‐Soto, Martin Wikelski, Walter Jetz

et al.

Nature Climate Change, Journal Year: 2023, Volume and Issue: 13(10), P. 1042 - 1054

Published: Sept. 18, 2023

Language: Английский

Citations

18
Effects of sample size, data quality, and species response in environmental space on modeling species distributions DOI
Lifei Wang, Donald A. Jackson

Landscape Ecology, Journal Year: 2023, Volume and Issue: 38(12), P. 4009 - 4031

Published: Oct. 6, 2023

Language: Английский

Citations

13
Assessing the applicability of binary land-cover variables to species distribution models across multiple grains DOI Creative Commons
Lukáš Gábor, Jeremy M. Cohen, Vítězslav Moudrý

et al.

Landscape Ecology, Journal Year: 2024, Volume and Issue: 39(3)

Published: March 4, 2024

Abstract Context Species distribution models are widely used in ecology. The selection of environmental variables is a critical step SDMs, nowadays compounded by the increasing availability data. Objectives To evaluate interaction between grain size and binary (presence or absence water) proportional (proportion water within cell) representation cover variable when modeling bird species distribution. Methods eBird occurrence data with an average number records 880,270 per across North American continent were for analysis. Models (via Random Forest) fitted 57 species, two seasons (breeding vs. non-breeding), at four grains (1 km 2 to 2500 ) using as variable. Results models’ performances not affected type adopted (proportional binary) but significant decrease was observed importance form. This especially pronounced coarser during breeding season. Binary useful finer sizes (i.e., 1 ). Conclusions At more detailed ), simple presence certain land-cover can be realistic descriptor occurrence. particularly advantageous collecting habitat field simply recording significantly less time-consuming than its total area. For grains, we recommend variables.

Language: Английский

Citations

5
Unraveling the characteristic spatial scale of habitat selection for forest grouse species in the boreal landscape DOI Creative Commons
Adriano Mazziotta, Andreas Lindén, Kyle Eyvindson

et al.

Forest Ecology and Management, Journal Year: 2024, Volume and Issue: 563, P. 122008 - 122008

Published: May 25, 2024

The characteristic spatial scale at which species respond strongest to forest structure is unclear and species-specific depends on the degree of landscape heterogeneity. Research often analyzes a pre-defined when constructing distribution models relating variables with occupancy patterns. This limitation, as characteristics shape use habitat multiple scales. To explore drivers this relationship, we conducted an in-depth investigation into how scaling biologically relevant scales affects grouse in boreal forest. We used 4,790 observations (broods adults) collected over 39,303 stands for 15 years four (capercaillie, black grouse, hazel willow grouse) obtained from comprehensive Finnish wildlife triangle census data Airborne Laser Scanning satellite originally sampled 16 m resolution. fitted Generalized Additive Mixed Models linking presence/absence stand composition. estimated effects predictor aggregated three reflecting landscape: local level scale, home range 1 km radius, regional 5 radius. Multi-grain considering forest-species relationships were evaluate whether there specific best predict occupancy. found that affected predictive capacity selection was same (i.e., scale) among species. Different exhibited varying optimal prediction. Forest more important than compositional diversity predicting irrespective scale. A limited number predictors related availability multi-layered vegetation suitable thickets explained patterns all different In conclusion, modeling using can inform managers about perceive landscape. evidence calls integrated multiscale approach modelling

Language: Английский

Citations

5
Dealing with area‐to‐point spatial misalignment in species distribution models DOI Creative Commons
Bastien Mourguiart, Mathieu Chevalier, Martin P. Marzloff

et al.

Ecography, Journal Year: 2024, Volume and Issue: 2024(5)

Published: March 22, 2024

Species distribution models (SDMs) are extensively used to estimate species–environment relationships (SERs) and predict species across space time. For this purpose, it is key choose relevant spatial grains for predictor response variables at the onset of modelling process. However, environmental often derived from large‐scale climate a grain that can be coarser than one variable. Such area‐to‐point misalignment bias estimates SER jeopardise robustness predictions. We virtual approach, running simulations different levels seek statistical solutions problem. specifically compared accuracy predictive performances, assessed degrees heterogeneity in conditions, three SDMs: GLM, GLM Berkson error model (BEM) accounts fine‐grain within coarse‐grain cells. Only BEM accurately relatively data (up 50 times grain), while two GLMs provide flattened SER. all perform poorly when predicting data, particularly environments more heterogeneous training conditions. Conversely, decreasing relative dataset reduces biases. Because predictions made covariate‐grain displays lower performance GLMs. Thus, standard selection methods would fail select best SERs (here, BEM), which could lead false interpretations about drivers distributions. Overall, we conclude BEM, because robustly grain, holds great promise overcome misalignment.

Language: Английский

Citations

4
Completing the Speciation Cycle: Ecological Niches and Traits Predict Local Species Coexistence in Birds Across the Globe DOI Creative Commons
Vladimír Remeš, Lenka Harmáčková

Global Ecology and Biogeography, Journal Year: 2025, Volume and Issue: 34(2)

Published: Jan. 30, 2025

ABSTRACT Aim The build‐up of local species diversity requires completing the transition from allopatry to sympatry coexistence (syntopy). However, understanding processes than enable arising in become syntopic remains an unsolved challenge. Potential explanations include niche conservatism, divergence, and energy availability. To gauge their importance, we modelled effects split age, divergence beta alpha niches, specialisation, resource availability reveal factors driving evolution upon speciation. Location Global. Time Period Miocene present. Major Taxa Studied Passerine birds. Methods We collated a dataset 206 passerine sister pairs, each with age divergence; range sympatry; degree syntopy (derived 7,257,312 complete eBird checklists falling within area overlap); (habitats environmental characteristics); (morphology, diet, foraging stratum); ecological specialisation (diet availability; body mass. used phylogeny‐informed models infer which these best explained Results There was major effect conservatism as more similar niches (canopy height, vegetation greenness, moisture availability, habitat affinities) exhibited higher syntopy. Small similarly sized beaks high on diet were also likely coexist locally. In contrast, or overlap stratum) did not predict Confirming previous studies, strongly increased increasing sympatry, while only weakly older pairs. Main Conclusions secondary is driven by mass‐related requirements. Consequently, accumulation richness facilitated both differentiation along various dimensions.

Language: Английский

Citations

0
Niche Overlap Between Two Sympatric Steppe Birds in Inner Mongolia: Habitat Selection and Insights for Conservation DOI Creative Commons
Zheng Han,

Xi Yang,

Lishi Zhang

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(2)

Published: Feb. 1, 2025

ABSTRACT The destruction and degradation of natural ecosystems is a major driver biodiversity loss. steppe ecosystem under threat from human activities habitat degradation. Fine‐scale breeding selection critical for the survival birds, but understanding factors that drive this remains challenging. This study uses field point‐count surveys to examine influencing quantify niche overlap between two closely related bird species: Jankowski's Bunting ( Emberiza jankowskii ) Meadow E. cioides in Inner Mongolia, China. These species share similar ecological traits overlapping habitats, making them ideal exploring how fine‐scale resource differentiation enable coexistence despite similarity. We use generalized linear models (GLMs) modeling algorithms analyze data. results reveal distinct preferences at both local landscape scales. favors areas with higher vegetation cover height, while prefers sites greater edge density. GLM show non‐linear responses variables, thresholds optimal occurrence. Niche analysis indicates considerable (Schoener's D = 0.57), significant differences centroids suggest species. Our findings emphasize importance considering characteristics –habitat relationships conservation planning birds. Understanding these respond changes resulting anthropogenic activities—such as land‐use conversion agricultural intensification—can help tailor efforts mitigate negative impacts promote sensitive habitats.

Language: Английский

Citations

0