Wildlife is one of Kenya’s greatest natural resource and is the foundation upon which nature-based tourism is based. However, it is one resource that is in constant danger of extinction as burgeoning populations and animals fight for limited space In addition, poaching has greatly reduced wildlife populations in the absence of adequate policies to manage consumptive utilisation that would generate benefits for communities living with wildlife.

THEME: “Sustainable infrastructure, services and social protection for gender
equality and the empowerment of rural women and girls”

Kenya Land Alliance (KLA) in partnership with Indigenous Livelihoods Enhancement Partners (ILEPA) and through the support of the Global Green Grants is implementing a project on Climate change, Livelihoods, and energy targeted at Women and Youth in Narok County.

Reducing land degradation and farmers’ vulnerability to climate change in the highland dry areas of north-western Ethiopia inception workshop agenda.

Wildlife populations are declining severely in many protected areas and unprotected pastoral areas of Africa.
Rapid large-scale land use changes, poaching, climate change, rising population pressures, governance, policy, economic
and socio-cultural transformations and competition with livestock all contribute to the declines in abundance. Here we
analyze the population dynamics of 15 wildlife and four livestock species monitored using aerial surveys from 1977 to

Mountainous regions are more sensitive to climatic condition changes and are susceptible to recent increases in temperature. Due to urbanization and land use/land cover (LULC) issues, Cameron Highlands has been impacted by rising land surface temperature (LST) variation. Thus, this study was carried out to explore the impact of the LULC change on LST in the Cameron Highlands from 2009 to 2019 using remote sensing images acquired from Landsat 7 ETM+, Landsat 8 Operational Land Imager (OLI/TIRS), and Moderate Resolution Imaging Spectroradiometer (MODIS) 11A Thermal sensors.

Poland, like other countries in the world, increasingly experiences the ongoing climate change. However, the level of preparation of the country and its society for climate change in the second decade of the 21st century can be evaluated as low. The Municipal Adaptation Plans (MAPs) created in 2017–2019 became a subject of research studies whose main goal was to determine the typology of adaptation actions to be undertaken as part of MAPs in the 14 selected Polish cities in various geographical regions.

Preserving landscape connectivity is one of the most frequently recommended strategies to address the synergistic threats of climate change, habitat fragmentation, and intensifying disturbances. Although assessments to develop plans for linked and connected landscapes in response to climate and land-use change have been increasingly employed in the last decade, efforts to operationalize and implement these plans have been limited. Here, we present a framework using existing, available biological data to design an implementable, comprehensive multispecies connectivity plan.

Amid climate change, biodiversity loss and food insecurity, there is the growing need to draw synergies between micro-scale environmental processes and practices, and macro-level ecosystem dynamics to facilitate conservation decision-making. Adopting this synergistic approach can improve crop yields and profitability more sustainably, enhance livelihoods and mitigate climate change.

The aim of the paper was to present the procedure of building neighborhood resilience to climate threats, embedded in planning (from the strategic to local level) and design process and focused on usage of natural adaptive potential. The presented approach encompasses: (1) the strategic identification of focal areas in terms of climate adaptation needs, (2) comprehensive diagnosis of local ecological vulnerability and natural adaptive potential to build adaptive capacity, and (3) incorporation of natural adaptive potential through an identified set of planning and design tools.

This work proposes a methodology whereby the selection of hydrologic and land-use cover change (LUCC) models allows an assessment of the proportional variation in potential groundwater recharge (PGR) due to both land-use cover change (LUCC) and some climate change scenarios for 2050. The simulation of PGR was made through a distributed model, based on empirical methods and the forecasting of LUCC stemming from a supervised classification with remote sensing techniques, both inside a Geographic Information System.