Urban forestry & urban greening, Год журнала: 2024, Номер 99, С. 128471 - 128471
Опубликована: Авг. 3, 2024
Язык: Английский
Urban forestry & urban greening, Год журнала: 2024, Номер 99, С. 128471 - 128471
Опубликована: Авг. 3, 2024
Язык: Английский
Ecological Indicators, Год журнала: 2023, Номер 148, С. 110150 - 110150
Опубликована: Март 20, 2023
Ecological sustainability has recently risen to prominence in scientific research and management applications. Approaches measuring ecological connectivity their application optimize network (EN) design are powerful tools against landscape fragmentation biodiversity loss. We focused on building an EN by identifying the most sensitive areas for within Reggio Calabria (Italy) metropolitan area. also proposed a defragmentation scenario improve obtained EN. The CORINE Land Cover Urban Atlas 2018 were used obtain fine-scale representation of study Ten terrestrial mammal species model following multi-species approach. Dispersal distance, patch size, resistance movement identify patches corridors. Vegetational fractional coverage based three years time series Sentinel-2 red-edge normalized difference vegetation index was discriminate with higher naturalness. graph theory metrics test EN’s robustness locations restoration scenario. EN, formed separate components, composed 724 arcs 300 nodes average area 27.04 ha. After hypothesis, only one component, 771 328 26.82 It possible analyze evaluate impact intended enhance connectivity. By comparing several metrics, we highlighted potential land interventions as planning tool future conservation.
Язык: Английский
Процитировано
36Journal of Environmental Management, Год журнала: 2024, Номер 352, С. 120073 - 120073
Опубликована: Янв. 23, 2024
Models and metrics to measure ecological connectivity are now well-developed widely used in research applications mitigate the impacts of climate change anthropogenic habitat loss. Despite prevalent application models, however, relatively little is known about performance these methods predicting functional patterns organism movement. Our goal this paper was compare different models their abilities predict a wide range simulated animal movement patterns. We Pathwalker software evaluate several model predictions based on graph theory, resistant kernels, factorial least-cost paths. In addition, we assessed efficacy synoptic patch-based approaches defining source points for analysis. total, produced 28 simulations As expected, found that choice variable most influenced prediction accuracy. Moreover, kernels approach consistently provided strongest correlations underlying processes. The results also suggested agent-based simulation itself can often be best analytical framework map conservation applications, given its biological realism flexibility implement combinations mechanism, dispersal threshold, directional bias, destination bias spatial composition locations doing so, provide novel insights guide future analyses. research, could use same species groups see how reliability depends analyzed. This bring light other elements play an essential role connectivity.
Язык: Английский
Процитировано
11Communications Earth & Environment, Год журнала: 2024, Номер 5(1)
Опубликована: Июнь 7, 2024
Abstract Enhancing the connectivity of protected areas is a global consensus for conserving biodiversity. Yet, it unclear whether habitats are sufficiently connected within to efficiently protect wildlife populations long-term survival. Here we show that, in general, China’s national nature reserves can effectively about one-half bird and mammal However, they only 25% birds 13% terrestrial mammals with high motility. Areas low conservation effectiveness highly overlapped small size intensity human activity. Artificial landscapes (arable land built-up land), which account less than 2% area areas, disproportionately cause nearly 40% loss. The results suggest that maintaining levels functional as important or networks. Our findings have implications improving management China beyond.
Язык: Английский
Процитировано
6Landscape Ecology, Год журнала: 2022, Номер 37(9), С. 2195 - 2224
Опубликована: Авг. 1, 2022
Abstract Context Connectivity between habitat patches is a recognized conservation action to conserve biodiversity in rapidly changing world. Resistance surfaces, spatial representation of cost movement across the landscape, are often foundation for connectivity analyses but working with them can be daunting due diversity and complexity software tools. Objectives We present an overview steps involved when resistance identify tools that perform specific tasks, evaluate user experience tools, needs community, some recommendations users developers. Methods identified applicable at each three (i) preparing data, (ii) constructing optimizing (iii) using surfaces. conducted online survey community assess popularity on five criteria characteristics important selection Results reviewed total 43 which 10 useful data preparation, 27 allow construction, 30 use A 148 participants 40 countries were familiar 37 Tools ranked heterogeneously criteria. Crucial avenues future development by respondents incorporation uncertainties, dynamic modelling, automated parameter optimization. Conclusions Since surfaces used variety applications, it aware about appropriate anticipate research will incorporate more complex biologically realistic analytical approaches.
Язык: Английский
Процитировано
28Conservation Letters, Год журнала: 2025, Номер 18(1)
Опубликована: Янв. 1, 2025
ABSTRACT Maintaining ecological connectivity is crucial for biodiversity, yet effectively managing interconnected areas through actor collaboration challenging. This study examines social–ecological fit in aquatic “blue” and terrestrial “green” areas, encompassing natural semi‐natural elements, human‐dominated landscapes. Combining species distribution models analyses focused on declining amphibians survey data actors’ area management within we create a spatially explicit network that analyze using models. Results highlight diverse dependencies shaping interactions. Strong observed blue‐rural‐green whereas blue‐urban‐green lack collaboration, with minor rivers urban‐green spaces at the network's core plagued by misfit. Strengthening these essential to prevent further degradation. Incorporating perspective covering blue green guides targeted interventions fosters effective conservation policy practice.
Язык: Английский
Процитировано
0Опубликована: Апрель 9, 2025
Язык: Английский
Процитировано
0Lecture notes in civil engineering, Год журнала: 2025, Номер unknown, С. 1131 - 1139
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Landscape and Urban Planning, Год журнала: 2022, Номер 221, С. 104371 - 104371
Опубликована: Фев. 2, 2022
Язык: Английский
Процитировано
16Landscape and Urban Planning, Год журнала: 2024, Номер 245, С. 105016 - 105016
Опубликована: Янв. 27, 2024
Язык: Английский
Процитировано
3Environmental Management, Год журнала: 2024, Номер 73(6), С. 1247 - 1264
Опубликована: Март 13, 2024
Язык: Английский
Процитировано
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