Testing the hierarchy of predictability in grassland restoration across a gradient of environmental severity DOI Creative Commons
Diana Bertuol‐Garcia, Emma Ladouceur, Lars A. Brudvig

et al.

Ecological Applications, Journal Year: 2023, Volume and Issue: 33(8)

Published: Sept. 30, 2023

Ecological restoration is critical for recovering degraded ecosystems but challenged by variable success and low predictability. Understanding which outcomes are more predictable less following can improve effectiveness. Recent theory asserts that the predictability of would follow an order from most to least coarse fine community properties (physical structure > taxonomic diversity functional composition composition) increase with severe environmental conditions constraining species establishment. We tested this "hierarchy predictability" hypothesis synthesizing along aridity gradient 11 grassland projects across United States. used 1829 vegetation monitoring plots 227 treatments, spread 52 sites. fit generalized linear mixed-effects models predict six indicators as a function characteristics (i.e., seed mixes, disturbance, management actions, time since restoration) variance explained model residuals proxies did not find consistent support our hypotheses. Physical was among when response relative abundance grasses, unpredictable total canopy cover. Similarly, one dimension related identities unpredictable, another indicating whether exotic or native dominated highly predictable. Taxonomic richness) mean trait values) were intermittently Predictability also consistently aridity. The identity in restored communities smaller residuals) arid sites, larger residuals), other showed no significant trend. Restoration they variation dominant species, while those responding rare harder predict, potential role scale Overall, results highlight additional factors might influence add importance continuous active beyond one-time addition successful

Language: Английский

Identifying complementary conservation and restoration priority areas for plant species DOI
Jian Zhou,

Zi-jie Zhong,

Huiyuan Liu

et al.

Biological Conservation, Journal Year: 2024, Volume and Issue: 299, P. 110826 - 110826

Published: Oct. 24, 2024

Language: Английский

Citations

1

Challenges in Restoring Mediterranean Seagrass Ecosystems in the Anthropocene DOI Open Access
Monica Montefalcone

Environments, Journal Year: 2024, Volume and Issue: 11(5), P. 86 - 86

Published: April 23, 2024

The intense human pressures in the Anthropocene epoch are causing an alarming decline marine coastal ecosystems and unprecedented loss of biodiversity. This situation underscores urgency making ecological restoration a global priority to recover degraded ecosystems. Meadows endemic Mediterranean seagrass Posidonia oceanica have lost more than half their original extent last century, necessitating immediate conservation management measures, supported by active interventions. paper explores new opportunities provides specific recommendations enhance as fundamental strategy for reversing P. Sea. When return historical pristine reference condition may not be feasible short term or desirable given current environmental conditions uncertainty, transplanting tolerant fast-growing species Cymodocea nodosa could facilitate natural recolonization. would occur through secondary succession, benefiting sensitive slow-growing oceanica. Future local efforts should primarily focus on proactive prevent further alterations planning appropriate measures timely manner mitigate reverse changes. As step, programs can implemented with ‘target-oriented’ rather ‘reference-oriented’ conditions, aiming establish capable sustaining future replicating environment.

Language: Английский

Citations

1

Postfire Seeding of Native Compared With Introduced Bunchgrasses Followed 3 Yr Later With Invasive Annual Grass Control DOI Creative Commons

Kirk W. Davies,

Chad S. Boyd,

Lauren N. Svejcar

et al.

Rangeland Ecology & Management, Journal Year: 2024, Volume and Issue: 98, P. 146 - 154

Published: Oct. 5, 2024

Language: Английский

Citations

0

Activated carbon seed technologies: Innovative solutions to assist in the restoration and revegetation of invaded drylands DOI Creative Commons
Kirk W. Davies, Danielle R. Clenet, Matthew D. Madsen

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 123281 - 123281

Published: Nov. 15, 2024

Language: Английский

Citations

0

Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States DOI
Daniel R. Schlaepfer, Jeanne C. Chambers, Alexandra K. Urza

et al.

Ecological Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 24, 2024

Abstract In water‐limited dryland ecosystems of the Western United States, climate change is intensifying impacts heat, drought, and wildfire. Disturbances often lead to increased abundance invasive species, in part, because restoration rehabilitation are inhibited by limited moisture infrequent plant recruitment events. Information on ecological resilience disturbance (recovery potential) resistance species can aid addressing these challenges informing long‐term conservation planning. Here, we quantified projected future invasion (R&R) sagebrush region using novel algorithms based ecologically relevant climate‐sensitive predictors drought. We used a process‐based ecohydrological model project predictor variables resulting R&R indicators for two scenarios 20 models. Results suggested widespread decreases (24%–34% 1.16 million km 2 study area) that generally consistent among Variables related rising temperatures were most strongly linked indicators. New continuous indices responses change; particularly useful areas without category but where still may decrease, example, some with historically low category. Additionally, found currently characterized as having high integrity had largest areal percentage expected declines future, suggesting continuing ecosystems. One limitation projections was relatively climatic conditions hot dry underrepresented training data. Including more data from updates could further improve reliability projections. Overall, highlight growing challenge natural resource managers region, spatially explicit datasets provide information risk assessments, prioritizations, adaptation efforts.

Language: Английский

Citations

0

Prospects for the restoration of tourism development in ukraine in the post-war era based on the digital transformation strategy DOI
Nadiya Dekhtyar

Ukrainian Journal of Applied Economics and Technology, Journal Year: 2024, Volume and Issue: 2024(4), P. 192 - 200

Published: Nov. 27, 2024

The article identifies priorities for developing digital tourism products in Ukraine’s post-war recovery, emphasizing the need secure communication between consumers and providers. prevailing focus on conventional services current cash flows is set to be complemented by potential offered infrastructure virtual tourism, which are identified as promising avenues innovation cultural preservation. restoration of should primarily guided prevalence physical or travel, indicated a strategic matrix proposed assessing recreational de-occupied territories. issues zoning Ukraine discussed, typically categorizes areas unoccupied, liberated, active conflict zones that insufficient local route planning safety assessments. Recreational cadastres, now essential ensuring visitor safety, must list suitable facilities with unique identifiers geographic coordinates mapped digitally. proposes range types different territories, approach recovery predicated fluctuations popularity diverse geographical areas. Key words: reconstruction, areas, strategy matrix, directions development.

Language: Английский

Citations

0

Testing the hierarchy of predictability in grassland restoration across a gradient of environmental severity DOI Creative Commons
Diana Bertuol‐Garcia, Emma Ladouceur, Lars A. Brudvig

et al.

Ecological Applications, Journal Year: 2023, Volume and Issue: 33(8)

Published: Sept. 30, 2023

Ecological restoration is critical for recovering degraded ecosystems but challenged by variable success and low predictability. Understanding which outcomes are more predictable less following can improve effectiveness. Recent theory asserts that the predictability of would follow an order from most to least coarse fine community properties (physical structure > taxonomic diversity functional composition composition) increase with severe environmental conditions constraining species establishment. We tested this "hierarchy predictability" hypothesis synthesizing along aridity gradient 11 grassland projects across United States. used 1829 vegetation monitoring plots 227 treatments, spread 52 sites. fit generalized linear mixed-effects models predict six indicators as a function characteristics (i.e., seed mixes, disturbance, management actions, time since restoration) variance explained model residuals proxies did not find consistent support our hypotheses. Physical was among when response relative abundance grasses, unpredictable total canopy cover. Similarly, one dimension related identities unpredictable, another indicating whether exotic or native dominated highly predictable. Taxonomic richness) mean trait values) were intermittently Predictability also consistently aridity. The identity in restored communities smaller residuals) arid sites, larger residuals), other showed no significant trend. Restoration they variation dominant species, while those responding rare harder predict, potential role scale Overall, results highlight additional factors might influence add importance continuous active beyond one-time addition successful

Language: Английский

Citations

1