Karim Ishfaq, Liu Xiaodong, Khan Babar, Kazmi Tahir
School of Ecology and Natural Conservation, Beijing Forestry University, Haidian District, Beijing 100083, China.
International Centre for Integrated Mountain Development, Kathmandu 44700, Nepal.
Animals (Basel). 2025 Jun 28;15(13):1907. doi: 10.3390/ani15131907.
This study assesses habitat suitability and identifies conservation priority areas for the endangered Marco Polo sheep throughout Khunjerab National Park (Pakistan) and Tashkurgan Natural Reserve (China). We analyzed species occurrence records against environmental variables (elevation, slope, climate, land cover) using MaxEnt modeling. Model performance was validated through AUC-ROC analysis and response curves, generating spatial predictions of suitable habitats to inform conservation strategies. Spatial predictions were generated to map potential distribution zones, aiding conservation planning for this endangered species. The model's predictive performance was evaluated using the Area Under the Curve (AUC) of the Receiver Operating Characteristic curve, yielding an AUC of 0.919, indicating strong discriminatory capability. Elevation (43.9%), slope (25.9%), and September precipitation (15.9%) emerged as the most influential environmental predictors, collectively contributing 85.7% to the model. The total percentage contribution and permutation significance values were 98.6% and 77.8%, respectively. Jackknife analysis identified elevation (bio-1), slope (bio-7), hillshade (bio-2), and the maximum July temperature (bio-9) as the most significant factors influencing the distribution of Marco Polo sheep, Conversely, variables such as viewshade (bio-14), land cover (bio-3), and precipitation in August (bio-4) contributed a minimal gain, suggesting that they had little impact on accurately predicting species distribution. The habitat suitability map reveals varying conditions across the study area, with the highest suitability (yellow zones) found in the northern and western regions, particularly along the Wakhan Corridor ridgelines. The southern regions, including Khunjerab Pass, show predominantly low suitability, marked by purple zones, suggesting poor habitat conditions. The eastern region displays moderate to low suitability, with fragmented patches of green and yellow, indicating seasonal habitats. The survival of transboundary Marco Polo sheep remains at risk due to poaching activities and habitat destruction and border fence barriers. This study recommends scientific approaches to habitat restoration together with improved China-Pakistan cooperation in order to establish sustainable migratory patterns for this iconic species.
本研究评估了整个红其拉甫国家公园(巴基斯坦)和塔什库尔干自然保护区(中国)内濒危马可波罗羊的栖息地适宜性,并确定了保护优先区域。我们使用最大熵模型(MaxEnt),针对环境变量(海拔、坡度、气候、土地覆盖)分析了物种出现记录。通过AUC-ROC分析和响应曲线验证了模型性能,生成了适宜栖息地的空间预测结果,以为保护策略提供参考。生成空间预测结果以绘制潜在分布区域图,辅助对这种濒危物种的保护规划。使用接收器操作特征曲线的曲线下面积(AUC)评估了模型的预测性能,得出的AUC为0.919,表明具有很强的判别能力。海拔(43.9%)、坡度(25.9%)和9月降水量(15.9%)成为最具影响力的环境预测因子,它们共同对模型贡献了85.7%。总贡献百分比和置换显著性值分别为98.6%和77.8%。刀切法分析确定海拔(生物变量1)、坡度(生物变量7)、山体阴影(生物变量2)和7月最高温度(生物变量9)是影响马可波罗羊分布的最重要因素。相反,诸如视域阴影(生物变量14)、土地覆盖(生物变量3)和8月降水量(生物变量4)等变量贡献极小,表明它们对准确预测物种分布影响很小。栖息地适宜性地图揭示了研究区域内不同的条件,北部和西部地区,特别是沿着瓦罕走廊山脊线,发现了最高适宜性区域(黄色区域)。包括红其拉甫山口在内的南部地区,主要显示出低适宜性,以紫色区域为标志,表明栖息地条件较差。东部地区显示出中等至低适宜性,有绿色和黄色的零散斑块,表明是季节性栖息地。由于偷猎活动、栖息地破坏和边境围栏障碍,跨界马可波罗羊的生存仍然面临风险。本研究建议采用科学方法进行栖息地恢复,并加强中巴合作,以便为这种标志性物种建立可持续的迁徙模式。