Habitat amount modulates biodiversity responses to fragmentation DOI
Helin Zhang, Jonathan M. Chase, Jinbao Liao

et al.

Nature Ecology & Evolution, Journal Year: 2024, Volume and Issue: 8(8), P. 1437 - 1447

Published: June 24, 2024

Language: Английский

Evaluating urban ecosystem resilience using the DPSIR framework and the ENA model: A case study of 35 cities in China DOI
Ruidong Zhao, Chuanglin Fang, Haimeng Liu

et al.

Sustainable Cities and Society, Journal Year: 2021, Volume and Issue: 72, P. 102997 - 102997

Published: May 17, 2021

Language: Английский

Citations

137

Landscape change effects on habitat quality in a forest biosphere reserve: Implications for the conservation of native habitats DOI
Wondimagegn Mengist, Teshome Soromessa, Gudina Legese Feyisa

et al.

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 329, P. 129778 - 129778

Published: Nov. 20, 2021

Language: Английский

Citations

126

Resolving the SLOSS dilemma for biodiversity conservation: a research agenda DOI Creative Commons
Lenore Fahrig, James I. Watling, Carlos Alberto Arnillas

et al.

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Journal Year: 2021, Volume and Issue: 97(1), P. 99 - 114

Published: Aug. 28, 2021

ABSTRACT The legacy of the ‘SL > SS principle’, that a single or few large habitat patches (SL) conserve more species than several small (SS), is evident in decisions to protect while down‐weighting ones. However, empirical support for this principle lacking, and most studies find either no difference opposite pattern (SS SL). To resolve dilemma, we propose research agenda by asking, ‘are there consistent, empirically demonstrated conditions leading SL SS?’ We first review summarize ‘single small’ (SLOSS) theory predictions. found predictions assume between‐patch variation extinction rate dominates outcome extinction–colonization dynamic. This predicted occur when populations separate are largely independent each other due low movements, differ minimum patch size requirements, strong nestedness composition along gradient. even dynamic, can predict SL. occurs if extinctions caused antagonistic interactions disturbances, spreading‐of‐risk landscape‐scale across SS. also colonization higher immigration rates SL, larger pools proximity Theory considers change among predicts because beta diversity results mainly from greater environmental heterogeneity micro‐habitats within (‘across‐habitat heterogeneity’), and/or heterogeneous successional trajectories Based on our relevant theory, develop ‘SLOSS cube hypothesis’, where combination three variables – movement, role population persistence, across‐habitat SLOSS outcome. use hypothesis existing evidence, only all following true: importance heterogeneity. Testing prediction will be challenging, as it require many groups regions these hold. Each such study would compare gamma multiple landscapes varying number sizes patches. If not generally supported tests, then mechanisms extremely rare nature should abandoned.

Language: Английский

Citations

104

Landscape‐scale habitat fragmentation is positively related to biodiversity, despite patch‐scale ecosystem decay DOI
Federico Riva, Lenore Fahrig

Ecology Letters, Journal Year: 2022, Volume and Issue: 26(2), P. 268 - 277

Published: Dec. 5, 2022

Positive effects of habitat patch size on biodiversity are often extrapolated to infer negative fragmentation at landscape scales. However, such cross-scale extrapolations typically fail. A recent, landmark, patch-scale analysis (Chase et al., 2020, Nature 584, 238-243) demonstrates positive biodiversity, that is, 'ecosystem decay' in small patches. Other authors have already this result effects, higher a few large than many patches the same cumulative area. We test whether extrapolation is valid. find landscape-scale patterns opposite their analogous patterns: for sets with equal total area, species richness and evenness decrease increasing mean comprising even when considering only conservation concern. Preserving will, therefore, be key sustain amidst ongoing environmental crises.

Language: Английский

Citations

86

Matrix condition mediates the effects of habitat fragmentation on species extinction risk DOI Creative Commons
Juan Pablo Ramírez-Delgado, Moreno Di Marco, James E. M. Watson

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Feb. 1, 2022

Habitat loss is the leading cause of global decline in biodiversity, but influence human pressure within matrix surrounding habitat fragments remains poorly understood. Here, we measure relationship between fragmentation (the degree and patch isolation), condition (measured as extent high footprint levels), change extinction risk 4,426 terrestrial mammals. We find that strongly associated with changes risk, higher predictive importance than life-history traits variables. Importantly, discover are stronger predictors amount. Moreover, increases an increasing deterioration condition. These findings suggest restoration may be important conservation action for mitigating negative effects on biodiversity.

Language: Английский

Citations

76

Forest degradation drives widespread avian habitat and population declines DOI Creative Commons
Matthew G. Betts, Zhiqiang Yang, Adam S. Hadley

et al.

Nature Ecology & Evolution, Journal Year: 2022, Volume and Issue: 6(6), P. 709 - 719

Published: April 28, 2022

Abstract In many regions of the world, forest management has reduced old and simplified structure composition. We hypothesized that such degradation resulted in long-term habitat loss for forest-associated bird species eastern Canada (130,017 km 2 ) which, turn, caused bird-population declines. Despite little change overall cover, we found substantial reductions as a result frequent clear-cutting broad-scale transformation to intensified forestry. Back-cast distribution models revealed breeding occurred 66% 54 most common from 1985 2020 was strongly associated with reduction age classes. Using long-term, independent dataset, amount predicted population size 94% species, declines old-forest species. Forest may therefore be primary cause biodiversity decline managed landscapes.

Language: Английский

Citations

76

Effects of fragmentation on grassland plant diversity depend on the habitat specialization of species DOI
Yongzhi Yan, Scott Jarvie, Qingfu Liu

et al.

Biological Conservation, Journal Year: 2022, Volume and Issue: 275, P. 109773 - 109773

Published: Oct. 18, 2022

Language: Английский

Citations

71

Tree islands enhance biodiversity and functioning in oil palm landscapes DOI Creative Commons
Delphine Clara Zemp, Nathaly R. Guerrero‐Ramírez, Fabian Brambach

et al.

Nature, Journal Year: 2023, Volume and Issue: 618(7964), P. 316 - 321

Published: May 24, 2023

Abstract In the United Nations Decade on Ecosystem Restoration 1 , large knowledge gaps persist how to increase biodiversity and ecosystem functioning in cash crop-dominated tropical landscapes 2 . Here, we present findings from a large-scale, 5-year restoration experiment an oil palm landscape enriched with 52 tree islands, encompassing assessments of ten indicators 19 functioning. Overall, functioning, as well multidiversity multifunctionality, were higher islands compared conventionally managed palm. Larger led larger gains through changes vegetation structure. Furthermore, enrichment did not decrease landscape-scale yield. Our results demonstrate that enriching palm-dominated is promising ecological strategy, yet should replace protection remaining forests.

Language: Английский

Citations

71

Landscape management strategies for multifunctionality and social equity DOI
Margot Neyret, Sophie Peter, Gaëtane Le Provost

et al.

Nature Sustainability, Journal Year: 2023, Volume and Issue: 6(4), P. 391 - 403

Published: Jan. 16, 2023

Language: Английский

Citations

70

LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems DOI Creative Commons
Michele Torresani, Duccio Rocchini,

Alessandro Alberti

et al.

Ecological Informatics, Journal Year: 2023, Volume and Issue: 76, P. 102082 - 102082

Published: March 30, 2023

The "Height Variation Hypothesis" is an indirect approach used to estimate forest biodiversity through remote sensing data, stating that greater tree height heterogeneity (HH) measured by CHM LiDAR data indicates higher structure complexity and species diversity. This has traditionally been analyzed using only airborne which limits its application the availability of dedicated flight campaigns. In this study we relationship between diversity HH, calculated with four different indices two freely available CHMs derived from new space-borne GEDI data. first, a spatial resolution 30 m, was produced regression machine learning algorithm integrating Landsat optical information. second, 10 created Sentinel-2 images deep convolutional neural network. We tested separately in plots situated northern Italian Alps, 100 forested area Traunstein (Germany) successively all 130 cross-validation analysis. Forest density information also included as influencing factor multiple Our results show can be assess patterns ecosystems estimation HH correlated However, indicate method influenced factors including dataset choice their related resolution, calculate density. finding suggest LIDAR valuable tool ecosystems, aid global estimation.

Language: Английский

Citations

44