Elsevier eBooks, Год журнала: 2023, Номер unknown, С. 151 - 165
Опубликована: Окт. 18, 2023
Язык: Английский
Elsevier eBooks, Год журнала: 2023, Номер unknown, С. 151 - 165
Опубликована: Окт. 18, 2023
Язык: Английский
Nature Ecology & Evolution, Год журнала: 2023, Номер 7(1), С. 102 - 112
Опубликована: Янв. 2, 2023
Язык: Английский
Процитировано
18Ecology Letters, Год журнала: 2023, Номер 26(11), С. 1951 - 1962
Опубликована: Окт. 19, 2023
Abstract Urbanization is a major driver of biodiversity change but how it interacts with spatial and temporal gradients to influence the dynamics plant–pollinator networks poorly understood, especially in tropical urbanization hotspots. Here, we analysed drivers environmental, turnover interactions (interaction β ‐diversity) along an gradient Bengaluru, South Indian megacity. The compositional differed more between seasons local intensity than distance, suggesting that seasonality environmental filtering were important dispersal limitation for explaining interaction ‐diversity. Furthermore, amplified seasonal interactions, stronger urban compared rural sites, driven by greater native non‐crop plant species (not managed people). Our study demonstrates interact shape can strongly amplify these dynamics.
Язык: Английский
Процитировано
13Functional Ecology, Год журнала: 2022, Номер 36(10), С. 2673 - 2684
Опубликована: Авг. 12, 2022
Abstract Understanding the flexibility of interactions and network rewiring (i.e. reassembly due to partner‐switching) is necessary comprehend how future anthropogenic changes will affect interspecific functioning communities. A higher could be expected in more disturbed landscapes because these contain fewer generalist species with homogeneous traits. We sampled pollination 20 wild Olea europaea communities along a disturbance gradient evaluate hypothesis that loss natural habitats increases seasonal (within‐year) interaction plant‐pollinator communities, influencing their functional structure. For this, we particularly tested whether frequency was negatively related extent surrounding influenced static structure networks (nestedness, specialization –H2'–), high generalization (low –d'–) abundance made them prone rewiring. show habitat increased networks. Changes were cumulative Nestedness decreased (H2') also tended decrease as increased, suggesting an indirect effect on robustness through dynamics. As expected, insect plant However, flower had different effects probability depending loss, abundant less Likely, this context‐dependent foraging behaviour pollinators, which may switch if cost searching for trait‐matching resources habitats. Our work shows role partner‐switching adapt new conditions. It highlights importance going beyond general metrics understand underlying processes community‐level assembly predict anticipate disturbances services. Read free Plain Language Summary article Journal blog.
Язык: Английский
Процитировано
16Biotropica, Год журнала: 2025, Номер 57(2)
Опубликована: Март 1, 2025
ABSTRACT Pollination is an important ecological process for plant reproduction. Understanding the differences in plant–pollinator interactions and pollinator importance across spatial scales vital to determine responses of these global changes. Continental oceanic island systems provide us with ideal model examine variation interactions. Here, we compared species composition, network structure, communities between a continental (Wanshan Island) (Yongxing China. The results reveal highly dissimilar composition islands that caused different structures. In particular, networks had higher connectance, nestedness, specialization than networks. For plants cooccurring on both islands, richness flower visitation rate were island. Plant niche overlap was island, while entire subnetwork. Hymenoptera most group community, Apidae community. imply may be less vulnerable disturbance, such as habitat alteration or destruction, implication insights into biodiversity conservation pollinators islands.
Язык: Английский
Процитировано
0Ecological Indicators, Год журнала: 2024, Номер 166, С. 112415 - 112415
Опубликована: Авг. 6, 2024
Interaction network resilience can be defined as the ability of interacting organisms to maintain their functions, processes or populations after experiencing a disturbance. Studies on mutualistic interactions between plants and pollinators along environmental gradients are essential understand provision ecosystem services mechanisms challenging resilience. However, it remains unknown what level ecological changes climatic constrain organisms, especially elevation gradients. We surveyed bee species recorded with throughout four major seasons (i.e. long short rainy, dry) 50 study sites positioned an gradient (525 m 2,530 asl) in Eastern Afromontane Biodiversity Hotspots Kenya, East Africa. calculated plant using parameter (βeff) assessed generalised additive models (gams). quantified effects climate, diversity, functional traits, structure, landscape configuration set multi-model inference frameworks followed by structural equation (SEM). found that exhibited higher levels at elevations. While increased linearly across gradient, exponentially from ∼1500 higher. Bee areas reduced mean annual temperature (MAT) decreased lower precipitation (MAP). Our SEM model showed increasing temperatures indirectly influenced via modularity community assemblage bees. also MAP had direct positive effect diversity resilience, while fragmentation habitats richness communities enhanced modularity. In conclusion, we revealed networks unveiled climate habitat directly influences bees modulation assemblages interaction networks. These elevations such these systems seem better able buffer against extinction cascades. thus suggest that, management efforts should geared consolidating natural habitats. contrast, restoration aim mitigating change harnessing mutualists reconnect broken links improve functioning East-African montane ecosystems.
Язык: Английский
Процитировано
3Ecology, Год журнала: 2022, Номер 104(2)
Опубликована: Дек. 22, 2022
Facilitative interactions bind community species in intricate ecological networks, preserving that would otherwise be lost. The traditional understanding of networks as static components biological communities overlooks the fact a network can fluctuate. Analyzing patterns cause those shifts reveal principles govern identity pairwise and whether they are predictable based on traits interacting local environmental contexts which occur. Here we explore how abiotic stress phylogenetic functional affinities constrain shifts. Specifically, hypothesize rewiring facilitative is more limited stressful than mild environments. We present evidence distinct pattern facilitation-driven at different levels. In highly environments with firm reliance facilitation, to growing beneath nurse overcome harsh conditions. However, when milder, flexible, although it still constrained nurses close relatives. Understanding ability rewire their crucial for predicting may respond unprecedented rate perturbations Earth.
Язык: Английский
Процитировано
8Methods in Ecology and Evolution, Год журнала: 2024, Номер 15(8), С. 1438 - 1449
Опубликована: Июнь 24, 2024
Abstract Understanding temporal dynamics in ecological networks is crucial to predict their capability cope with global changes. Despite this, proper quantification of network still remains a challenge. Temporal are typically studied using data interaction over time, through the evaluation turnover and its two components: changes related species (species gains losses) or rewiring (switching partners among set shared time). However, this approach based exclusively on data, computed similarly for that truly missing from community at given period, occurring but do not interact any other. This might lead an underestimation real extent rewiring, while overestimating component turnover. We used 20 plant–pollinator communities calculate components accounting also occurred different periods did appear some (non‐interacting species) then compared these estimates conventional ones. Besides, we empirical simulations evaluate which were affected by sampling effort when including excluding non‐interacting species. As expected, disregarding led overestimation as Effect size was moderate independent pollinator included, large plants both trophic levels. Simulations indicated that, general, considering reduced biases time identifying due components. Accounting particularly important reduce bias low calculated seasonally. effects, phenology main determinant species' frequencies. Our contributes reducing improving flexibility networks, necessary comprehend response face change.
Язык: Английский
Процитировано
1Revista Mexicana de Biodiversidad, Год журнала: 2023, Номер 94, С. e945139 - e945139
Опубликована: Окт. 3, 2023
The ecological network approach allows the analysis of interactions between plant communities and their floral visitors. However, most visitation studies analyze with a temporally-static perspective. Hence, few have evaluated temporal variation these systems. This study characterized plant-floral visitor interaction temperate forest remnant in Michoacán, analyzing monthly changes its composition, structure, dynamics during 3 seasons year. In total, we recorded 1,325 visits 131 links 27 species 74 species. Most observed belong to families Lamiaceae, Asteraceae, Apiaceae, while orders Hymenoptera, Lepidoptera, Diptera. were highly abundant longer flowering periods at site. constant turnover gave rise networks different levels specialization, connectance, nestedness, modularity. Our results suggest that remnants are dynamic poorly connected, which makes them vulnerable drastic environment.
Язык: Английский
Процитировано
1Опубликована: Янв. 1, 2024
megacity……………………………………………………………………………. 61 Abstract……………………………………………………………………………………… 3.2 Direct and indirect effects of urbanization, pesticide use, flower visitors on mango yield ……………………………………………………………………………………..159 4. Discussion……………………………………………………………………………….. 4.1 Wild insect pollinators increased yield……………………………………..
Язык: Английский
Процитировано
0Communications Earth & Environment, Год журнала: 2024, Номер 5(1)
Опубликована: Ноя. 23, 2024
Abstract Global environmental change may lead to changes in community structure and species interactions, ultimately changing ecosystem functioning. Focusing on spatial variation fungus–plant interactions across the rapidly Arctic, we quantified identity of interaction partners. We then related turnover bioclimatic environment by combining network analyses with general dissimilarity modelling. Overall, found associations be highly plastic, major rewiring among partners variable conditions. Of this turnover, a part was attributed specific properties which are likely progressing climate change. Our findings suggest that current plant-root associated severely altered advancing global warming. Nonetheless, flexibility partner choice contribute resilience system.
Язык: Английский
Процитировано
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